...Set: Chuck 4x06 "...vs. the Aisle of Terror"
Man feet! Otters! Old people! Black licorice! Public showers! Interspecies relations! Babies in costume! Those images are apparently what send crazy people (like Jeff) over the edge, and sent me laughing. Did I miss any? I think those are all of them. I'm getting way ahead of myself here, but I loved the randomness of that, and how Jeff's crazy demented head full of hay-like hair ended up being Chuck's saving grace.
But what did Chuck need saving from? That requires us to back up to the top of the hour, during which Chuck received a phone call from his missing Mama Mary (you like my alliteration there?), who wanted to meet with him, alone, in Griffith Park, at a creepy children's playground. Riiiight. That instills confidence, Lady Frost. Chuck was smart, though, and had Sarah accompany him as back up, which led to a tense standoff between Sarah and Mama B that Chuck was forced to get into the middle of. So what is Mama B's story? She wants to hand over this deadly terror gas stuff called Atroxium that this Dr. Wheelwright dude has made, and has come to Chuck to facilitate said hand over as his alter ego Charles Carmichael.
And that brings us to the main dilemma of the evening - whether to trust this suddenly reappearing ghost from Chuck's past or not. She claims that she went so undercover back in the day, doing something called Project Isis, that she was expunged from CIA records, and therefore could not contact her family again, and that the only reason she's doing it now is to make them safe again. Chuck wants to believe her, but the other spies are more skeptical. The episode teeters back and forth with trying to make us believe her or not believe her, as her actions prove rather devious sometimes, caring others.
Case in point: she shoots Chuck at the meet to pass over the atroxium, but she then later claims that she had to do it because Volkoff was watching the meet and she had to make it look like Charles Carmichael was taken out for good. Okay. Chuck then tries to get her to agree to meet up with Ellie before she disappears back into the spy ether again, and while at first she seems rather reluctant to do so, in the end she agrees. BUT! This is only after Casey has done a little digging of his own to discover that, according to CIA records, Mama B went totally off the reservation, aka rogue, and that she really is bad. He and Sarah assemble a team to capture her right before she was going to see Ellie. Dun dun dun! But oh, Chuck does tell Ellie that the reason she couldn't show up is because she's a spy. I guess I forgot she never knew that, so it wasn't that big of a reveal moment for me.
Meanwhile, back in the poison plot, the nefarious Dr. Wheelwright works it so that Chuck gets doused with this special neurotoxin that makes people see their worst fears manifest. Since it also happens to be Halloween-time at the Buy More, this is particularly bad for Chuck, who confesses he already doesn't much like scary things. He ends up getting the better of the good doctor, however, when he uses the aisle of terror that Jeff and Lester previously set up with screens that show images that are supposed to make the most insane minds lose it. Because it turns out, it does actually work on truly crazy people! This is the thing I was talking about at the beginning, if you didn't already figure that out. Duh. Chuck and Sarah manage to get him to tell them where the anti-toxin is, and Chuck is put back to his right mind.
And in side-plot-ville, Devon's mom has come to town to help with the baby stuff. This side story was mostly used as a way to contrast Ellie's mother-in-law with her real mom, and didn't have a lot of meaty story material otherwise.
Next episode it looks like we are going to find out more about maybe misbehaving Mary and whether she's good, bad or otherwise.


text:
Heart Peterborough
Sweet But Psycho Ava Max Download 'Sweet But Psycho' on iTunes
Tributes To Fallen P'boro Soldier
Warrant Officer Class 2 Colin Beckett, Company Sergeant Major of 3rd Battalion The Parachute Regiment, died attempting to secure an area in Shaheed, when he was caught in the roadside bomb.
Company Sergeant Major Beckett, known as Tom, was described by his colleagues as an inspirational and iconic leader.
The 36-year-old joined the army more than 20 years ago and had a "tremendous amount of operational experience'', a MOD spokesman said.
His wife Rachel, who is expecting their first child later this month - a girl already named Freya, said: "Anyone who ever met or knew Colin 'Tom' would have been touched by him in a big way and he will never be forgotten."
"He was a fantastic soldier, a great son, a good brother and friend and a truly special husband."
"My bestest friend, my soul mate, my absolute world. We love him and shall miss him so very much."
"May his love for life, strength, humour and strong character, live on forever in his baby girl Freya.''

redpajama_set_name: RedPajamaCommonCrawl


At the heart of Restorative Justice (RJ) is the need for people to be heard and respected. For many schools, it can be difficult to honor this need when students and teachers must deal with overloaded schedules, a heavy focus on testing, and underfunded supports like counselors or social workers. To help address this gap, CCEJ helps schools throughout Southern California bring Restorative Practices to their campuses.
Restorative Dialogue workshops: participants develop tools to build, sustain and repair relationships when harm and conflicts arise in and out of the classroom.
I had a successful conversation with a class that had many challenges in speaking and listening to other. I had a wonderful opportunity to speak with them about what I had observed. It was amazing. We all quietly listened to each other for the first time this year for an extended period of time.
At CCEJ, we know that restorative dialogue can help youth understand and learn from the impact their actions have on them and on the greater community. As Kimiko saw firsthand, these two-way conversations can create class or group agreements and support teachers and students to hold each other accountable for honoring these agreements.
Restorative dialogue and other practices are foundational to ensuring that students, teachers and administrators can build positive relationships with each other, reducing the likelihood that schools will use harsh forms of discipline to respond to student behavior.
To get involved in CCEJ's RJ in Schools work, contact Belia Mayeno Saavedra, Director of Restorative Justice in Schools at bsaavedra@cacej.org.


Taxi From Gatwick To Tiverton – Transport From London Gatwick Airport To Tiverton.
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SPACEMAN SIGNED BLUE VINYL + POSTER. SIGNED Spaceman Vinyl Exclusively Limited to only 500 copies!! - 180 Gram Ocean Blue Vinyl Includes Download Card. Also comes with FREE Ace Frehley - Spaceman poster. The item "SIGNED Ace Frehley Spaceman BLUE Vinyl Exclusive LIMITED TO ONLY 500 with POSTER" is in sale since Friday, October 19, 2018. This item is in the category "Music\Records". The seller is "matdahat" and is located in Milford, New Hampshire.


text:
← In the Belly of the Bear by A.A. Balaskovits
Juvenescence by Jennifer Lynn Krohn →
Three Teens Kill Time in a Miami Parking Lot in July by JD Scott
by Editors Posted on March 13, 2018
The Golden Key Flash Fiction Open 2017 Honorable Mention, judged by Carmen Maria Machado
Marié, her back against the Honda's passenger door. Marie, her front against Marié's front. Marie pushes and Marié lets herself be pushed, the pleasing scorch of the car's hot metal firing across her lower back, then fading. Marié feels older, letting her body withstand this heat.
Marcus crouches in front of the Civic, where a slight shadow extends from the hood, covering him from the relentless summer.
"Let's go," Marcus says.
"You have to solve the mystery," Marié says.
"It's too hot," Marcus says.
"I like it," Marie says.
"Did you really bring this back from your home country?" Marcus asks.
"No," Marié says, "but that's where they come from."
"This is her home too," Marie says.
"This is my home too," Marié echoes.
The girls sip pearls through thick straws in the parking lot. The strip mall signage towers into the sky just a few feet away, logos strung together like necklace beads. DISCOUNT MATTRESS KINGDOM. KARATE LESSONS. BOBA TEA.
Marcus holds the glass Ramune bottle up so light passes through the clear marble in its Codd-neck.
"How do you get the marble out?" Marcus says.
"You don't get the marble out," Marié says.
"How do you open it?" Marcus asks.
"That's the mystery," Marié responds.
The two girls sip from the plastic Lollicup cups in their hands, link their arms like water moccasins, sip from each other's straws.
"It's too hot for milk," Marcus says. He's tapping the top of the bottle against the concrete parking block.
"Lavender tea is good year-round," Marie says.
"You're going to break it open," Marié says.
"That's fine," Marcus says.
"You'll cut your lip on the glass," Marié says.
"What does it taste like," Marcus whines.
"That's the mystery," Marie says, smiling.
A sandhill crane lands on the roof of the Civic: its feathers a blur of grey and brown. On its crown the feathers whelk into a helmet of blood.
"What is that?" Marcus asks accusingly.
"Sandhill crane," Marie says, unpeeling her front from Marié. Her curves and shadows are soaked in sweat. "They're rare," Marie adds.
"There's a lot of things you need to learn before you start high school," Marie says.
"You both just think you're cool because you have learner's permits," Marcus says, fingering a top-hat-shaped bit of plastic from the bottle.
"Better be nice or we'll leave you here," Marie says.
The crane hops from the roof to the hood, appraising the youths.
"If you drink from a broken bottle, your lips will turn red as its head," Marié says, pointing.
The crane hops onto the pavement, cautious, approaching Marcus. It leans its long neck down, millimeters from the boy's ear. "That's the opener," it whispers. Marcus nods, pushing the top-hat bit into the lips of the bottle. The marble bursts down in a glassy pop, resting in the bottle's long neck. Everything fizzes as Marcus sips.
"There's a lot of things you need to learn before you start high school," the sandhill crane whispers.
JD Scott is a writer, editor, and educator. Recent and forthcoming publications include Best American Experimental Writing, Best New Poets, Prairie Schooner, Denver Quarterly, Salt Hill, Sonora Review, The Pinch, Ninth Letter, Tampa Review, and elsewhere. More of JD can be found at jdscott.com.
Which historical rebel does JD wish had been a literary writer, and why? "Triệu Thị Trinh. There's a quote attributed to her that goes, 'I'd like to ride storms, kill the sharks in the open sea, drive out the aggressors, reconquer the country, undo the ties of serfdom, and never bend my back to be the concubine of whatever man.'"
Art — Aleksandra Apocalisse was born in the USSR, from which her family fled when she was only 6 years old. She spent most of my childhood and young adulthood in Brooklyn, New York until she moved to Portland, Oregon in 2015. There, she is living the dream; spending the days outside with my dog, playing in the dirt, hanging out with plants, and expressing her dreams and innermost musings through art. She also loves animals, reading, learning about nature, getting lost in music, and traveling to tropical jungles.
This entry was posted in Issues and tagged carmen maria machado, Flash Fiction, flash fiction open, honorable mention, Issue 8, JD Scott. Bookmark the permalink.


text:
<?php

namespace App\Http\Controllers;

/**
 * Class LanguageController.
 */
class LanguageController extends Controller
{
    /**
     * @param $locale
     *
     * @return \Illuminate\Http\RedirectResponse
     */
    public function swap($locale)
    {
        if (array_key_exists($locale, config('locale.languages'))) {
            session()->put('locale', $locale);
        }

        return redirect()->back();
    }
}

redpajama_set_name: RedPajamaGithub


text:
/*
 * RESTful API
 * No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
 *
 * OpenAPI spec version: 1
 *
 *
 * NOTE: This class is auto generated by the swagger code generator program.
 * https://github.com/swagger-api/swagger-codegen.git
 * Do not edit the class manually.
 */

package com.logsentinel;

public class Pair {
    private String name = "";
    private String value = "";

    public Pair (String name, String value) {
        setName(name);
        setValue(value);
    }

    private void setName(String name) {
        if (!isValidString(name)) return;

        this.name = name;
    }

    private void setValue(String value) {
        if (!isValidString(value)) return;

        this.value = value;
    }

    public String getName() {
        return this.name;
    }

    public String getValue() {
        return this.value;
    }

    private boolean isValidString(String arg) {
        if (arg == null) return false;
        if (arg.trim().isEmpty()) return false;

        return true;
    }
}


text:
Q: Linq sum value in list iside other list Goodevening I try to make a LINQ query on List of employers called people containing another List of jobs. I want to sum the int value of jobs. I try this code
public class Employe
{
  public int id { get; set; }
  public string name { get; set; }
  public List<Job> Jobs{ get; set; }
}

public class Job
{
  public int id { get; set; }
  public int int1 { get; set; }
  public int int2 { get; set; }
}

var dati = from p in people
               from j in p.Jobs
               group j by j.id into g
               select new
               {
                 idp = p.id,
                 name = p.name,
                 value1 = g.sum(m => m.int1),
                 value2 = g.sum(m => m.int1)
               };

it doesn't work it give me the error "p doesn't exist"

A: You're grouping by j.id, so after that grouping is done, p doesn't exist anymore.
Without knowing what you actually want to group by, it's hard to tell how to do what you're trying to do.
Also, your error is The name 'p' does not exist in the current context, and it's a compiler error, not a runtime exception. When you put errors into your question, please make sure it's exact and detailed.

A: Create your group on p and g Only then you can access values of both object.
var dati = from p in people
                           from j in p.Jobs
                           group new {j,p} by j.id into g
                           select new
                           {
                               idp = g.FirstOrDefault().p.id,
                               name = g.FirstOrDefault().p.name,
                               value1 = g.Sum(m => m.j.int1),
                               value2 = g.Sum(m => m.j.int1)
                           };

redpajama_set_name: RedPajamaStackExchange


NASPA is a Nigerian based and standard solar panel installation, repair and maintenance company. The company has been able to secure a standard and well – positioned office facility in a business district in Abuja, Nigeria. We are a solar panel installation, repair and maintenance company set to compete in the virgin solar panel installation, maintenance and repair services industry not only in Abuja, but also throughout the Nigerian market.
NASPA offer services such as solar panel & equipment sales, installation, repair, servicing and maintenance etc. The business objective is to become one of the leading solar panel installation, repair and maintenance company in the Nigeria and we will work hard to compete with solar panel manufacturing companies that are also into solar panel installations. We will gradually include latest technologies like "floating solar" in cases where land is inaccessible for solar farms.
The solar panels and accessories will be leased to customers and it is guaranteed to save them money on their current yearly energy usage while still earning a profit for the business and stakeholders.
NASPA's mission is to always put our customers first and treat our employees valuably. Our vison is to become the leading solar panel sales, installation, repair and maintenance company in Nigeria and Africa. We will work hard to scale the solar industry & compete with solar panel manufacturing companies that are also into solar panel installations while gradually implementing latest solar technologies.


1. Discuss the problems inherent in interpreting statutes and the Constitution. How do the courts try to resolve these problems?
2. How did the Supreme Court use judicial review to change American society?
3. What was John Marshall's impact on the history of the Supreme Court, and federalism?
4. How important is wealth to access the legal system?
5. Identify the major checks on judicial power. Are they effective or ineffective in limiting judicial action?
6. Should there be term limits for Supreme Court justices?
7. How does the Americans with Disabilities Act demonstrate the law-making ability of the court system?
8. How are judges, especially Supreme Court justices, selected? How political is the process? What can be done, if anything, to fix the process?
9. In what ways was Bush v. Gore a political decision?


For more information about any of our packages, pricing or a free brochure please call our toll-free number at 1-888-ONAWAY1 (1-888-662-9291) or email us at onawaylodge@xplornet.com.
Lac Seul is internationally known for its trophy walleye and northern, which offer a challenge to beginner and expert fishermen alike. Other species include smallmouth bass, perch and trophy muskie.
Our cabins are clean, comfortable and modern. All are completely equipped with full kitchen, bed linens and full baths. We offer 2, 3, 4, 5 and 6 bedroom cabins, each with a screened in porch with a view of Lac Seul and spaced far enough apart to offer complete privacy. Gas or charcoal grills for every cabins.
Onaway Lodge uses 17' Lund Outfitters powered by 50 h.p. Honda motors with electric start and padded swivel seats. Boats are equipped with mandatory safety kits, depth/fish finders. We can provide landing nets, minnow buckets and anchors.
Onaway Lodge offers experienced local guide service that is sure to enhance your fishing experience. Included in your service is a cooked shore lunch Onaway style which is an experience not soon to be forgotten.
Call or write us to inquire about your stay!
Call us today or check out our rates/availability calendar at the link below.
Onaway Lodge offers occasional dinners (when available) one day advance notice is required.
If you want to experience some of the best trophy walleye and northern pike fishing in Northwestern Ontario, and time away to relax and enjoy the breathtaking scenery and abundant wildlife of the Canadian wilderness…then Onaway Lodge is the place for you.
Our housekeeping resort is located on the western shores of the famous Lac Seul waterway where countless miles of secluded shoreline are waiting to be explored….by you.
Listen to the sound of water breaking along the rocky shore…wake up to the call of loon when staying at one of our modern, well-equipped cabins. All of our accommodations feature natural wood finishes, each completed with large kitchen, bright living areas, private bathrooms and large balconies overlooking Lac Seul.
At Onaway Lodge we take pride in our resort and strive to ensure our guests' stay is relaxing, enjoyable and hassle-free.
We look forward to helping you plan your next great Canadian fishing/wilderness adventure!
Good photos are worth sharing with family and friends, but great photos deserve to be seen by everyone. If you have some great photos (big fish, wildlife or scenery) from your recent trip to the lodge, we'd love to share them with the rest of the Onaway family.
If you have more than one photo, or very large image files, click here to upload multiple files to us.
We'll add the best photos to our online galleries (below) for everyone to see. At the end of each season a selection of photos will be chosen to win one of our great prizes including a wall mount Lac Seul map.


text:
The Commissioners from the Federation of Bosnia and Herzegovina are:
Suad Zeljković and
Nikola Pejić.
The Commissioner from the Republika Srpska is:
Branislava Milekić.
The Commissioners rotate on an equal basis in the position of the Chairperson
every year.
Mrs. Branislava Milekić will be the Chairwoman of the Commission from July 1, 2021
until June 30, 2022.
The function of the Chairperson was performed by:
Mr. Vladimir Dokić, from July 1, 2003 until June 30, 2004,
Mr. Mirsad Salkić, from July 1, 2004 until June 30, 2005,
Mr. Željko Topić, from July 1, 2005 until June 30, 2006,
Mr. Nikola Pejić, from July 1, 2008 until June 30, 2009,
Mr. Milorad Tuševljak, from July 1, 2012 until June 30, 2013,
Mr. Suad Zeljković, from July 1, 2016 until June 30, 2017,
Mr. Nikola Pejić, from July 1, 2020 until June 30, 2021.


text:
La maison princière  est la troisième plus ancienne branche collatérale (ōke) de la famille impériale du Japon créée à partir de la branche Fushimi-no-miya, plus ancienne des quatre branches de la dynastie impériale autorisée à présenter un successeur au trône du Chrysanthème si la principale lignée impériale n'est pas en mesure de présenter un héritier.

La maison Yamashina-no-miya est fondée en 1871 par le prince Akira, fils ainé du prince Fushimi Kuniie, fils adopté de l'empereur Kōkaku et plus tard de l'empereur Kōmei et conseiller de l'empereur Meiji dans le gouvernement de Meiji.

Le , le prince Takehiko Yamashina perd son statut impérial et devient un citoyen ordinaire dans le cadre de la suppression des branches collatérales de la famille impériale japonaise par le Commandement suprême des forces alliées. À sa mort sans héritier en 1997, la lignée principale de la Yamashina-no-miya disparaît.

Le nom Yamashina est porté par le frère cadet du prince Takehito Yamashina, le marquis Yoshimaro Yamashina, le célèbre ornithologue.

Le palais Yamashina-no-miya est situé dans le quartier Kōjimachi de l'arrondissement de Chiyoda à Tokyo.

Bibliographie

 Lebra, Sugiyama Takie. Above the Clouds: Status Culture of the Modern Japanese Nobility. University of California Press (1995).

Source de la traduction

Monarchie japonaise

redpajama_set_name: RedPajamaWikipedia


text:
Marketing Speak
A Marketing Podcast By Stephan Spencer
Hosted By Stephan Spencer
AI-powered Content Marketing and SEO with Aki Balogh
Episode 267 Posted on December 2, 2020
267: AI-powered Content Marketing and SEO with Aki Balogh
Apple PodcastsGoogle PodcastsPlayer Embed
Leave a ReviewListen in a New Window SoundCloudStitcherSubscribe on AndroidSubscribe via RSSSpotify
If you're not using AI to help you innovate your business, there is a distinct possibility you're going to get left in the dust! My discussion with today's guest, Aki Balogh, covers a lot of fascinating cutting-edge technology in a very relatable way for anyone even tangentially involved in the marketing world. Aki is the founder of MarketMuse, a company that uses artificial intelligence to enable marketers to create and optimize rich, topically relevant content at scale.
In today's episode, we talk about how we can use AI, not to take away jobs, but to optimize the value we are bringing to our customers. Aki points out that machines and humans have different relative strengths and weaknesses, and when you can leverage that right combination you can identify content gaps, create new material and optimize existing pages on your site in an efficient and intelligent way. Aki shares his secret sauce of incorporating SEO techniques and interlinking new pages and existing pages you've created for an optimum flow of link equity internally on your site. It's fascinating stuff. So strap in, and let's get the show started.
[00:30] – Stephan introduces Aki Balogh, the co-founder, and CEO of MarketMuse, an impressive marketing tool that's every entrepreneur's secret weapon to competitive marketing.
[05:13] – Aki talks about the importance of expert knowledge input for self-driving content machines.
[11:31] – Stephan discusses how thin content is not just small word count, but it's also about being very surface level and shallow in addressing the topic.
[16:38] – What are the factors in identifying content gaps using machine learning or AI?
[22:41] – Aki discusses the approach in reaching the optimum flow of link equity, good context, and anchor context in content strategy.
[29:07] – Aki explains the term topical authority and how it works in content strategy.
[34:04] – Stephan explains the acronym UPSYD by Keith Krance and asks Aki which stage of the customer's journey do they focus on?
[40:41] – Stephan talks about the AI technology being used by Lumen5, a software that creates videos from existing content.
[45:07] – Aki recommends Madkudu, a predictive lead scoring software that helps companies accelerate growth using customer data.
[48:35] – Follow Aki Balogh on his social media accounts, and visit MarketMuse's website at marketmuse.com to learn more on how you can transform how you research, plan, and craft your content.
Jump to Links and Resources
Welcome to the show, Aki.
Thanks for having me.
First of all, let's talk about the intersection of content and AI. Some people, I'm sure, read the articles and kind of Wired and Fast Company and that sort of thing that says, "We're not going to be writing content anymore, it's going to be AI that's doing it for us. So all these people who are content creators are going to be out of a job." And that's coming very fast like GPT-3 is out now from OpenAI. Although in private beta, some people have had access to that already. And they're creating entire articles, essays, ebooks, and things that are not written by a human, and humans can't tell. So I'm curious to hear what's your view of the near-term future is in regards to content and AI.
Yeah, absolutely. It's a great question because it points to, to take it back a couple of steps, the evolution of search and content and how all of this evolved. When the internet first came out, people were just putting content up and putting keywords, and search engines were indexing based on that. It was very rudimentary, then people started hacking that and just pushing out low-quality content at scale. So search engines, Google, in particular, came back and started putting in quality measures to read the content and understand the content of the content or one technology they use is called knowledge-based trust factors. So can you trust this article because is it factually true? And understanding what a concept is and what subcomponents comprise a concept. Or another way to think about it is what questions are people asking to get to the content, and then what do they want to understand once they're there, and how they navigate that learning journey. That's been Google's mission all along.
High-quality content drives high-quality traffic. Click To Tweet
Google is just a company, but they are driving the technology of this versus something like Facebook, where they are just pretty rudimentary at this, I would argue. So you had this kind of evolution of machines reading content. On the writing side, in the first, you had keyword research tools and suggestions, "Hey, you might want to use this based on this word, it has more demand or something like that," that evolved to content optimization software, such as MarketMuse, where you're reading, or you're helping a writer understand what's topically relevant. In order to describe a topic, what kind of components do you have to have in there or should you have in there to have essentially information value. How do you increase the value of information as a human, and then obviously, article generation is just the next step of that. The reason I go through all of that history is because the generation of the actual article is not just like one endpoint. There isn't just one way to write an article. If you put in a title and have it generate, multiple interpretation steps happen. And there's either a human operator involved with those steps, or you just press the button and presto, and it spits it out.
Even though there was an article in The Guardian that was interesting, that was an AI writing to humanity like it's kind of cool. But even that article, they didn't just put in a topic, hit the button, and spit it up. They generated a bunch of articles, and they cut pieces and compiled it. So there's an editorial step that happened. So in terms of self-driving content, I tend to tell folks, the difference between self-driving content and self-driving cars is there's only one way to correctly drive a car to the destination, but if there's content, any given topic could have thousands or tens of thousands of ways you'd want to write about it. Or maybe more than tens of thousands. There are different angles you can take, and there are different kinds of tributaries you can go into. Of course, for every topic, if you add expert knowledge, your knowledge to it, it becomes more valuable, and it's that new information. And so the machine can synthesize large amounts of information and do pattern matching, but it can't bring that wisdom that somebody was doing a job for quite some time and was able to instill.
In a way, it is kind of a discontinuous product or evolution, but in a way, it's kind of related to the previous layers. And so where we see this kind of tactically evolving is, you're going to want to use the machine to give you maybe components of an article, and then you can assemble the article from components. We're not yet at the point where you're going to want to have the machine just write everything, and then you just publish to the web. The level of AI required for that would be kind of a strong AI. It would have to be artificial general intelligence, which we don't have to worry about for at least a couple more decades, maybe, hopefully.
At least a couple more years. Although GPT-3 has fooled many people, I think there was a Guardian article published. Maybe this is the same one you're talking about that was written completely by GPT-3. And the headline of the article, which wasn't written by GPT-3 was, This article was written by an AI or something along those lines.
That's right. That's the same article. It's great because it gets people worried but excited about the future. But that article was generated n number of times. I think, eight or more times, and then they cut pieces together, and then they kind of edited it. Although the words were technical. Yes, the words were written by a machine, but the humans compiled the article based on the goals that they wanted to achieve, and that worked.
Gotcha. Okay. And so, where does AI fit into MarketMuse? Because I know that's kind of one of your selling points of the software, is it's got machine learning baked into the product, and it makes it a better technology than some of your competitors.
There are different types of searchers on the Internet. Some people want to learn, research, or buy.
Absolutely. To answer that question, I'll just give a 32nd kind of how did I even get into this because for me, I was mentioning before the show, it's a huge honor to be talking with you. You wrote the book on SEO, I read that book, and I learned a lot from it. But I did not come from the SEO world. I came, as you pointed out, from the machine learning and investment, and kind of startup tech world in a way. So I wanted to take an AI or machine learning approach to content marketing. I want to do it to help society, I want to build an AI technology that helps society, and I thought content would be a good way to do that.
In that spirit, the first product that we built, which was called Content Analyzer, but now we call it Optimize, basically takes an article and gives you suggestions for what topics you might want to include to make that article more impactful and more information. That first product, we basically invented that, there were other similar prototypes of products that were looking to do similar things, but the way that we built that product and the quality of data and the software worked, and it had not worked for others before. That was our first foray back, I think, gosh, 2015, maybe prototype in 2014, but certainly to market in 2015. To build that technology, we built what we call our Knowledge Graph System, but it's basically what's called a topic modeling system. So it's a system were given a topic, the machine goes to the web, reads 10,000 articles on a topic, distills the essence down, and gives you the human outline of how to cover that topic comprehensively. So it's a kind of large scale pattern matching and distillation that's done through topic modeling. So that was our core technology. We now have a patent on it. But essentially, we've put a lot of engineering and data science focus into strengthening that.
And then, on top of that, we've just built a system of products essentially. So we went from optimizing an existing page to researching new topic ideas to what are the questions that people are asking that are topically relevant, what are the linking connections? What other pages on your site should you link to, to what is your competition doing, so competitive analysis. So those are what I call page-level applications. So for optimizing an individual page, you can use those. And then we went to the next level, well, in late 2018, we launched a system that will analyze your entire site and connect all the topics and pages and things together, and it can show you essentially, the breadth and depth of your topic clusters. In layman's terms, for a given concept, given topic, how many pages do you have that relate to that topic, and where are you strong and weak? And where do you have the opportunity? And what should you work on next? What topics should you work on next? And what articles should you create that are gaps, like, where do you have content gaps and topical gaps? So that was a whole nother level to our offering.
Now, we had just launched a few months ago, the third level, which is, we'll generate it for you using AI to fill. Now that we have these outlines, we know what topical gaps you have. You pick some, and we can estimate the value of how much money you would make if you fill those gaps, which is good for getting a budget to resource the project. So then you make your hit list of articles, and then we can generate the articles. And to my earlier point, we have sort of several editorial steps to make sure that the other end of the production line meets the original goal that you want it to meet.
Wow, that's quite a comprehensive product suite. And so if we were to look at this at the page level, let's say that you have an article about lawnmowers, and you don't talk about related topics, what Brian Dean of Backlinko would refer to as LSI Keywords. Which is not the best term, I think, because LSI is not a thing that Google is using. But it's a way to refer to related topics in a very SEO kind of acronym type of way. So these LSI keywords or these related topics, if you have an article about lawnmowers, and it doesn't talk about grass, or lawns, or lawn care, or gardeners, or landscapers, or landscaping, or weed whackers, or weeds or gardens or anything else, it's just lawnmower. A lawnmower, you have a very surface level, thin piece of content. And your early iteration, which has evolved quite significantly, could identify that your articles are thin in that way because thin content isn't just a small word count. It's also about being very surface level and shallow in the addressing of the topic.
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That's exactly right. Essentially, all of these acronyms TF-IDF, LSI, LDA, Latent Dirichlet allocation, neural nets, rank brain, whatever all these like technologies that people use, they're all ways to model how our brains learn. Basically, content is learning. So if you're looking to buy a lawnmower, what are the types of questions you ask? And it could be the use of it, so will this cut this type of weed or grass or whatever, that's one thing. It could be the product features, so is it like, is it the one we push it, or is it the one where I sit on it? Or there are lawnmowers that operate with no electricity, maybe in a rural area, or is it gas or whatever. So the product features the value props and then the different audiences. So are you a gardener? Is this for a home? Or is this for commercial operation? And so essentially, you want to cover what you're about, what is your company about, what are your products about, what audiences do you serve, and what value do you provide, and then how differentiated from other lawn mowers or whatnot. You want to write all of those down. And all the technologies do is just help us get there.
I had this conversation with a CEO of a very large writing network the other day, and he's like, "Well, I don't know about this AI, I think this is not right, I think it's gonna hurt the quality of content," and I'm like, "Well, the AI is specifically natural language generation technology, which is different from what we were doing earlier topic modeling and content analysis." Now, generation technologies are just going to be another productivity boost. They're not going to completely replace humans because as a lawnmower business, you have a lot of knowledge about lawnmowers that you have not put pen to paper. That's the constraints. So you have a lot of subject matter experts that would love to write articles, but they don't have time, because they're like designing lawnmowers and stuff, right? So what if you could take that knowledge and that science and product knowledge and commercial insights and put it into your content and scale? You would need an enabling technology.
Right now, the enabling technologies are agencies where they're like, "Well, yeah, we'll do it for you, we'll write all the best lawnmower stuff in the world," but they never built a lawnmower. So then you might have an entry-level marketer writing about stuff, and you're reading, and you're like, "Oh, gosh." There's no way they wouldn't know, but actually, it's not quite accurate, and the idea is to inject the knowledge into your content onto the internet because that's another thing people assume. People assume that the internet has great content; it doesn't. It doesn't. When you analyze the internet articles, some content is very strong, like Justin Bieber or credit cards. Lots of credit card search content on there, of course, a lot of money to be made, but there are a lot, like try searching for like, Mongolian cultural reference, it's just very rare to find. And of course, some of those are because it's less commercial.
It's just that there's a lot of content gaps; there are a lot of commercially viable topics where the quality of content on the web is low. There are housing systems software, SAS warehousing systems is one that I was showing somebody recently, and almost all the content on it stinks because people just haven't written it yet. But there are a lot of people in the world who know about warehousing SAS, some company software, and there are a lot of people who need to know because they have a warehouse, and they would benefit from learning more about how to optimize their warehouse.
Right. There are lots of different ways that we could go down this rabbit hole. First of all, let's talk about identifying those content gaps, like how do you figure out using machine learning or AI what the content gaps are. Like, I know there are tools from SEMrush and Ahrefs, for example, that will look at competitors, and compare you with the competitor and see what keywords they're ranking for and you're not. So that's a content gap analysis that can be quite helpful. But I think you're talking about something a bit more advanced than that, right?
Write to your target market. By deciphering what they want to achieve, you'll know better what to give them.
Yes. The way we look at it, you have a couple of factors, you have how much demand is there for topics, how much search volume for a topic, and the related topics and stuff. How big is that market, what's the competition levels? Is mesothelioma highly competitive, or is Mongolian culture not competitive? So that's another factor. The third factor that we've added is relevance. What is relevant to that topic? To your earlier point, lawnmower, gardener, and weeds are somewhat related, so that should measure into that calculation. It's not just a two by two. It's a three by three, or some sort of maybe some other geometric figure. But essentially, once you have that model, that map, you can essentially read all of the pages, all of the keywords, topics, everything you're ranking for, everything you mentioned in the article itself. Just create this big collection of concepts and then start to connect the dots, and the machine can do this because it works in what's called a high dimensional vector space. So it can model your entire site in high dimensions in a way that a human brain could not do.
Let's say you want on your site and 10,000, or even a couple hundred or a couple of thousand dimensions, and it can basically make these connections, and just run a bunch of math and say, "Oh, there you go. That gap, that article is something that you're missing, but it's highly relevant. It's very attractive from an SEO demand generation standpoint. And it's very core to your message." And it's something that you can differentiate on versus competitors, and it's kind of untouched by others. Write that first, and when you write that, it does better in search, and your CFO is looking at you saying, "Wow, we're doing so well, in demand, and how are you doing this?" Well, the machine just finds these ideas, and that a content strategist, or SEO kind of evaluates the idea one by one, and just bangs with the content.
Right. So this is as much about creating new content. So the content gap is looking at where you have not written pages of content that you should be, but also, you have existing pieces of content that don't cover in-depth the topic well enough. They don't refer to like in the lawnmower example to lawns, or grass, or clippings or yards or yard care, like those are very closely related topics, whereas gardening and patio or deck or landscaping would be a little less relevant or closely aligned to the keyword or the topic of a lawnmower.
Yes, so the way the system does its big crunching thing, and it gives you a list of basically new articles you should write and existing articles you should optimize, and then you can kind of pick your strategy. So some agencies and companies like to optimize, optimize, optimize, not publish so much, others like to just publish and never optimize; some do 50-50, whatever. But basically, you can pick your battles as to what you want to do, plus what are some campaigns you might be running, what are some seasonality things, the different aspects to your business that might be relevant or important at that particular time. Then also you have to think about what level of resource or you're playing. If you don't have a lot of authority on-page or off-page authority or topical authority on something, you're going to have to spend more resources; time, money, people, and so on. You're gonna have to spend more resources to hit that goal. So you've got to kind of do this cost-benefit, but essentially, yes, you make your hit list of new articles to create an existing to optimize, and then you link them together.
Yeah, so how do you interlink these different pages? Because if we were to look at an example, let's say like the New York Times, they have these topic pages that they can rank quite well. Like, for example, for the keyword "Iraq," there on the first half-page one with a topic page, which is pretty impressive. And that topic page doesn't even have a description of Iraq, and like an overview of the geopolitical issues and that sort of thing. It's just recent news articles. And so if you look at how they're linking to the topic page internally, they're not just doing it in a brain dead sort of written approach, they're doing it in a way that adds value to the user to the reader, as well as to Google. So, for example, they won't take just the first occurrence of the word Iraq in the article and turn that into a link to the topic page, especially if there's another link in that same sentence that goes to a much more important recent article about a topic that or an issue, a current event that that happened, that they don't want to take the emphasis away from that by adding a link to the topic page. And they're not going to just have a list of tags are topics at the bottom of the article with 50 different keywords, and they're all linking to various topic pages because that's another pretty popular but not very effective SEO approach that you'll see a lot of.
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I'm curious, like what's the secret sauce behind interlinking these different new pages and the existing pages that you've optimized so that you get an optimum flow of link equity internally and good context as well with the anchor text, but not over-optimized, and not too over the top. Let's talk about that.
Absolutely. I mean, that's part of the art of SEO and writing for the web. The first place you start is what are the user intent or the searcher intent to your point. When people search Iraq, it seems less likely to think about the touristy things they could explore and more likely to think about conflict, which is, it is what it is, right? We wish it were better, but that's what it is. So most of the intent Google points toward news articles and stuff. But that may or may not be the case. When people search for a lawnmower, are they looking to learn about lawnmowers and abstract? Are they looking to buy a lawnmower near where they live? Are they looking to compare a lawnmower to a weed wacker? It could be any of those, right? So as a business, you do have to think through all the stages in your buyer's journey, your different audiences, and then go to the topic layer. And that's part of the human interpretation that you do as a content strategist.
Once you have your content, and you're looking to link them, one of the most common questions as well as, "So I have these pages, and I have all these snippets of information, do I put it all in one article, or do I kind of like spread it out? And if so, how?" And it depends. So you do want to the most popular, or I guess the way to do it is a hub and spoke model, where you have what's called a pillar page, which is typically a long, I haven't seen it, but probably the New York Times is like a long explainer page on the rack, and then you have subtopics and different places you would navigate to learn more about, I want to say Kandahar, but that's in Afghanistan. But like what's the state of the military in Iraq, what's the state of oil, whatever, and you navigate to those pages, constructing that structure is what you do as a strategist. The machine can give you ideas and say this information should be somewhere, but then how you compile it is more up to you. We can suggest basically, and anyone doing this by hand, but we also do it through AI or the machine.
But we can suggest, "Here are pages on your site that are related to this page." So lawn mower, weed wacker, weeds; these are pages you should link together because of the topics, and you would drop it in as anchor text. So like, "the lawnmower is rated for this type of weed," and then you click on weed, and it goes to the weed page, and then I don't know, it's another user intent problem right there. But basically, we can surface those latent connections, but then you would pick from there and use that to build out your topical hub in the way that you want to. Basically, there's a difference between like reading a book with a table of contents, and you typically go front to back, versus the web, you arrive somewhere, and then you bounce around, and then you click on this ad or something, and now you're on the Twitter page. You just want to follow the journey that you want your customers to have.
Yeah. How do you create this content that explains the topic? And that's something that used to exist on the topic pages on the New York Times, but they've removed it. So there used to be a paragraph or two about Iraq on the Iraq page, and now it's gone. And it's just linked to all the different recent articles about Iraq. And I think that's going backward in terms of value for the user and SEO. But I wasn't involved in that process; they're not a client or anything. So I just happened to notice that. So how would you create that description that that explainer copy to go on this topic page?
Aside from blog posts, infographics and videos are great examples of compelling content.
Yeah, the way that I would think about it is how do you create a Wikipedia type entry for your company or your product or the message you want to deliver? When you search on things, obviously, Wikipedia typically comes up on page one. And they've done that because they have a lot of original information and it's very high quality, and it's very well-linked. It's 100% humans doing that, to my knowledge we should probably talk to them. I'll do that after this. But to my knowledge, they're just completely crowd-sourced, but they've done a good job. But that definition of information, what is Iraq? What is the state of the Iraq conflict? What is the history of the conflict? That's one way of doing it, which is great, and it works well. But if you are an Iraq researcher or an entity that may be an NGO that has unique information, you should seek to create your own. What is Iraq? Or what is the history of Iraq? Or what is the history of the US military in Iraq? You might want to create that yourself to essentially compete with Wikipedia. And to the extent that you can do it for certain questions, or if you do it well, you can outperform Wikipedia.
Like for us, if you search, what is content strategy, we come up because we wrote a lot about content strategy, and it's unique and novel, and it's highly factual information. The last part of what I just said is sort of where we are now with the tech as we're trying to figure out how to make it more factual. And that's sort of the challenge with GPT-3 and NLG, and everything and just information today are like, how do we make sure that it's factually true. We tried to do it by looking at a lot of content on the web, but there isn't an easier way. But anyway, as long as you have high-quality information that is new in some way like if you just basically take the Wikipedia page and make a poor quality version of it, it's not gonna add anything to the discourse. But like I said when you analyze these pages, and what's ranking, and what are the top pages on Google, there's so much whitespace. There is an incredible amount of stuff that has never been written about because people just haven't spent the time, and it's just there for the taking.
Okay, so let's take the example of what is content strategy. How have you seen that whitespace or your technology seen that whitespace identified this opportunity to create something that adds to the discourse, and what exactly is that novel or unique angle or additional research or perspective that you've added around content strategy?
Yeah, for us, it's topical authority. It's still kind of a niche term, but it's starting to gain traction. We invented the term topical authority, to my knowledge, we invented that term about five years ago. Because we're trying to describe what we are doing and just saying, adding information value to things was a lot of words. Topical authority, it's what I said earlier about your volume, competition level, and relevance. So from a relevance standpoint, which topics do you have a presence on? For each of those topics, how strong are you, and how well have you covered it? What's essentially the breadth and depth of your topic cluster, your topical coverage against that one specific topic? And then how many topics do you have?
So, measuring that and plugging that into your formula, your SEO opportunity formula, that's what we're pioneering essentially. Then the trick is then also talking about it in kind of non-SEO terms because the reality is that there are millions of people writing content on the web to drive demand and to educate people about the products and services. And that's amazing. Only a fraction of them are like technical SEOs, and most of them are editors, and writers and they're making human judgments on things. So, how can we have machine intelligence help them achieve their goals so that they write great stuff, but we don't have to teach them how Latent Dirichlet allocation works. We've threaded that topical authority into these kinds of general high-level explainer pages on what is content strategy.
Got it. Okay. How are these pages doing in terms of traffic generation? Are they getting a lot of visits, or is it just kind of longtail stuff?
It's always relative. It's been great. It's powered our whole business, and it's made us who we are. We've had hundreds of customers, many of them are companies, you recognize many of them even better, or startups you don't recognize, and they need content to drive demand, and we're enabling their success. And we've been called "the undisputed leader in the industry," which I'd be happier if more people knew about the industry. That's our bigger challenge. People don't know that you can optimize the content through AI, or they don't even know what content marketing is, sadly. Or they have heard of it, but they'd rather just buy ads. There's a lot of those challenges that we face. But for our footprint, and the amount of demand and leads, and inbound we need to generate, we've been able to do it 100% on content. We're really happy because the proof is in the pudding.
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Even if you search many of our competitors, competitor A versus competitor B, we come up because we've written a better page about them. Of course, we compare both of them to MarketMuse. So there's just a lot of knowledge we've put out there. When I was just starting a few years ago, I had zero dollars, I couldn't buy software, but at least I could read up on stuff and educate myself, and then kind of do it by hand. And that's totally cool, too. So for this segment of the entrepreneur, people starting businesses, they don't necessarily have to buy what we do. I mean, we now have an always free version called MarketMuse Trial. But even if they don't use any of that, at least they'll know how to do this stuff on a higher level, and then just kind of map it by hand. That's fine, too.
But yeah, we've added a lot of kind of original information and ideas to the web. And for us on the business side for a company, we're not a massive conglomeration. We're a small company. For the amount of traffic we need to drive, that's been enough. We've been able to just kind of achieve multiple goals, and we drive enough demand to power our sales channel, we drive enough awareness to educate the market slowly over time. I wish it would happen quickly, but it happens slowly, but that's okay. At least it's happening. It's going to continue to happen. It's compounding. And by writing it, we've learned it ourselves by having to teach it. So it also pulls a company together, and people learn up quicker, and they onboard better and they provide better service in our team. So all of that can be accomplished through content. It's like we're sneaking education to people, which is great. We want to increase the amount of knowledge and information and then wisdom that comes from that.
Gotcha. And so when you're creating content, or you're getting machine learning assistance in creating this content, are you thinking in terms of people in the different stages in the buyer journey that they're like—I'll use an acronym I learned from Keith Krance who is also a guest on this podcast—and it's called UPSYD; Unaware, Problem aware, Solution aware, You're solution aware, and then finally Decision. So if you're completely unaware that you have a problem, how do you attract people to your site and sell them your solution? That's an interesting problem to have, right? If they're problem aware, but they're completely clueless about how to solve it, maybe they have symptoms of a certain disease, but they don't know what the disease is. It's kind of undiagnosed, or maybe it's restless leg syndrome, and they don't know what the solutions are. Like, "Oh, they should have more magnesium in their diet or take a supplement." So they're problem aware, but they're not yet solution aware.
And then solution aware, they know there are solutions out there, they know that there's topic modeling, for example, or there's a topic type of explorer tools, but they just don't know that your solution exists. And then the Y for your solution, and then finally D for decision, where they've got all the information and they're at a decision point. So creating content for those different audiences, I think, is smart because not everybody is at the decision point, and they just want to see your testimonials and case studies and whatever kind of sales collateral that will push them over the edge. Maybe they're just completely new to this space, and they don't realize that there's a better way.
Yes, most companies, unfortunately, and we are where we are, but most companies have focused on that last stage where it's like buy now, or here's 20% off to buy, like surely it's the price.
Free shipping, satisfaction guarantee, it's like, and people buy what? So to your point, it is those four stages, and so if nothing else, you need to have the consideration content; should it be company A or a competitor and why. That's pretty important. But if you're going to do a good job, you need to have that awareness of what is the thing in the first place and why would you use it. And if your legs are moving at night or whatever, maybe you don't know the term restless leg syndrome, like my legs are moving, or I wake up sore in the morning, or whatever. I haven't had it, so I don't know what the symptoms are. But whatever those things are, you might just be searching for weird symptoms, and then you learn about a term. And then, once you can put a name on something, it's a big step in the learning journey. Once you can name something, then you know what to put in Google, then you can read about it, and the rest kind of flows from there.
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Right to your point there about restless leg syndrome as an example. I don't have it, thankfully. But I think one of the symptoms is like if your legs feel prickly and it keeps you up like it's very uncomfortable. And so, if you're searching for legs or prickly at night while trying to sleep, just finding that term restless leg syndrome is a huge milestone in figuring out the solution. Because now you have a name that you can search on, you can look it up in Wikipedia, and you can see what other symptoms go with it, and what are some of the solutions and so forth.
Now, let's talk for a couple of minutes here. I know we're running short on time, but personas avatars, like defining what those persona types are, and what motivates them, not just their demographics and psychographics but what is their internal problem? Not just external problem, but the internal problem using the terminology from Donald Miller's StoryBrand Framework, but also then, what are the four forces, the wants, the aspirations, the frustrations and the fears that trouble them or kind of motivate them, so that once you've identified those things, you can weave that into the copy that you're writing to make it more persuasive, and more relatable and inspire them to take action?
Yes. I mean, one is, to your point, essentially, how do you inject empathy into your content and your messaging. Especially when we work with medical content, and we're not doctors, but we certainly generate and help and provide insights on medical conditions, and then an expert evaluates it, but the software does a really good job of suggesting things that are technically accurate because it's looking at a mass content. So we have statistical significance helping us with this, but when you write that kind of content, the people who are searching for it are likely suffering from a condition. And if you get the content wrong, or you forget to mention something that could negatively impact somebody's health outcome.
So that's a big part of it. When I say content, just because of the nature of my work, I automatically assume SEO long-form written articles, text articles, but there are, obviously, many other types of content. Social content and videos and stuff like that. Although typically, it's siloed, so you'll have one team writing the articles and the other team doing the social media, but those wants and desires and fears are reflected, especially on social media. It does come out, so you want to have some line of communication there. It would be too optimistic to ask that you merge the groups. Some companies can do that. So some companies take different topics or products, and they have like little teams of you have one content person, one social person and one adds one this and that along with each topic, that's smart. But even if you have a small team, just have the kind of talking. Especially fears, right? People react to fears and anxieties in order of magnitude faster than they react to the good news. And so you want to make sure that that's injected into the overall knowledge base that you're essentially building on the web.
Yeah. So a great point to get those different silos, different people talking to each other so that somebody who's creating video content and somebody who's creating article content can share their learnings and their empathy for the target audience with each other. And so that gets baked into both formats. There are probably some tools outside of MarketMuse that you think are pretty cool. And I'll just name a few that come to mind that relates to our discussion here. One is called Lumen5, lumen5.com. And that has some AI to it, where it takes an article or blog post, and creates a social video out of it, that kind of distills the key points from that article, put those key points into different frames, and then adds imagery or stock video to that with music so that you can watch this video that was generated automatically. But of course, it doesn't publish it until you go in and you tweak it and say, "Oh, actually, that's a little bit still too verbose. Let me cut some words out of that." "Let's change the stock video that it chose to something else that I think is a little more appropriate as a metaphor." "Let's add a little call to action at the end of the video," and boom, now hit publish, and it creates this cool video. It took a fraction of the effort. So that's one great tool. I'm not sure if you're familiar with that. Have you heard of Lumen5?
I haven't used them. But I've heard of that type of technology. Yes.
Yeah. So that's one, and then there are several free keyword research tools that help you to identify questions that your audience is asking. There's an answerthepublic.com which is based on Google Suggest. And then there's also asked.com. Have you also tried Asked? Are you familiar with that tool?
I haven't tried it. But to be honest, we have one, and it's also free now called MarketMuse Trial. I mean, you can run seven queries in it a month. So it's a little more limited, so I just use our stuff.
Yeah. Answer The Public, it's pretty cool, too. It was an inspiration.
Yeah. So I like both of them, but they're just different because also Asked is based on the People Also Ask Box in the Google results. So you'll get this cool visual that you can save, you can also save a CSV file, and you can just click on one of the questions in the flowchart thing or the, I don't know what kind of graph it is, like a tree graph or whatever. And then it will reorient to that question being the center point, and then all sorts of additional questions come from that. It's cool, and it's free. So that's another tool that our listeners might want to check out. And then finally, TubeBuddy, which does AB split testing of titles and video thumbnails for YouTube. And so I'm curious if any of this has spurred on any particular favorite tools or things that the best practices, questions, topics of whatever that the listener should think about as they're doing their content planning?
Yeah, absolutely, there are quite a few. In fact, in a few weeks, I'm presenting at a CEO forum about just showing our entire business architecture stack and all the things that we do, and all the layers. There are so many layers, so many great app software platforms out there. Two that immediately come to mind that have made a big difference for us; one is a community, the Marketing AI Institute run by Paul Roetzer, and they've done a great job at basically just defining what types of AI exists in marketing. Content, video, social, they gather all the software platforms, and they kind of explained what each one does and how do you use them. It's just a great community. I don't know if they have a Slack community that would be valuable. We have a Slack community for anyone interested in content strategy, of course, shameless plug, but Marketing AI for like high-level of what are all the things out there that AI is doing, that's one thing.
Another platform that we found helpful, there's one called Madkudu. They build a predictive machine learning model for lead scoring. When you write a bunch of content, you have all these inbound leads, but they're inbound, so you have all different types, big companies, small companies, random rolls, whatever, and geographies. And so they all go into your Salesforce or your CRM, but then you don't know like of the thousands of people who do I talk to first and in what order. So what Madkudu does is they run a model, and they look at who's more likely to convert, who's more likely to buy something, who's more likely to spend more money with you. They run different analyses, and basically, they give you this API, and you plug it into Salesforce. And so when a lead comes in, it just spits out a number like one out of 100. So like, "This is an 80, chase after them, they're really important." "This is a 40, don't worry about it, just let them just kind of nurture and come back." So they do the heavy lifting to figure out the lead scoring, which is, for us, it's magic.
That's super cool. Is that a paid tool, or is that free, or freemium, or what?
Paid. In fact, probably in the, I don't know, thousands or low tens of thousands, maybe, but they should have something free, I would hope. I'll reach out to them because they are so complementary to what inbound that people should be able to access it. So I haven't looked at their site in a while, but it's worked for us.
That's great. That's very cool. So if somebody wanted to try out MarketMuse Pro, do you have any kind of special deal for them? Or how can folks do the MarketMuse Trial free version, and how can they do the pro version? And yeah, what's the next step for them?
Yeah, totally. It's easy, go to marketmuse.com, up on the top right, you can click Get Started Free. Sign up there; that'll drop you into our "always free software MarketMuse Trial," basic freemium. It has training, and it's got a great tutorial, a bunch of training, it's got a MarketMuse Academy for like 201 and 301 level concepts. So you can just get started using it there. If you enjoy it, and if you want to analyze your entire site, you can put in a credit card, and then you get one month free of MarketMuse Pro, or now we have Plus, which is kind of a lighter version of Pro. But either of them basically will analyze up to 500 pages on your site, giving you insights on it. There's a promo code for one month, which will give you one month free. By the time you probably hear this, we'll probably have a slicker way, so you don't even have to do that. But anyway, if you need a promo code, you can either chat on drift we've got chat or email me. I'm at Aki@marketmuse.com. But anyway, you should have a one month opportunity to try it out. And after that, it's either $179 a month or $499, and it could be $325 and then annual plans. So it's just a couple hundred bucks a month to analyze a small site. And then if you have a very large site, we work with a lot of major publishers, a lot of major brands, especially financial services, and enterprise software both need a lot of writing about your stuff. And so we have Premium packages available.
Okay, awesome. And I'll include the promo code in the show notes for this episode as well. And if folks wanted to follow you on social media or connect with you, you gave your email address, but what's your preferred social platform that you're most active on?
Yeah, my Twitter is Aki Balogh, the company's Twitter is MarketMuseCo. And I'm also on LinkedIn. I try to crunch through email often, so email is good, but of course, it can get blocked sometimes. I have an AI filter in my inbox that I should mention too. SaneBox. So sometimes, it accidentally filters out something important. So LinkedIn all of those, Aki Balogh. Luckily not a lot of people are called Aki Balogh in the world.
Are you the only one?
Well, the reality is Aki is a nickname. My legal name is Akush, which is a word that comes from Turkish. It's just hard to pronounce, so I go by Aki. And then, because it's a nickname, not a lot of people professionally use that name in Hungary.
Got it. Okay.
So I might be the only Aki Balogh, as far as I know.
Awesome. Well, thank you, Aki. This was great. And I hope and I think it will have inspired our listeners to think differently in terms of their content creation and content optimization strategy. So thank you for that.
Thank you for the opportunity.
Aki@marketmuse.com – Email
LinkedIn – Aki Balogh
Twitter – Aki Balogh
Market Muse
Twitter – Market Muse
Facebook – Market Muse
LinkedIn – Market Muse
Keith Krance – previous episode
A robot wrote this entire article. Are you scared yet, human? – The Guardian Article
Backlinko
StoryBrand Framework
Answer The Public
Google Suggest
Asked.com
Marketing AI Institute
Madkudu
SaneBox
Your Checklist of Actions to Take
Think about the searcher's intent before starting with content creation. This enhances the relevance of my posts among my target audience. On top of that, consider different types of user intentions. People use the Internet to learn, research, and buy.
Whenever I'm about to write, ask myself, "what are people asking?" "What are they thinking?" The answers will serve as my guide on how to choose the best angle for my readers.
Be more proactive with my planning and content marketing. Create a spreadsheet of content ideas and be dynamic in the way I present them. Aside from blog posts, infographics and videos are great examples of compelling content.
Learn to take advantage of data science. Optimize my business' operations based on data gathered in and outside of my company. With enough information, business decisions will become more precise and less wishy-washy.
Research more on AI and Machine Learning. Some of its features and tools may be crucial for my business success, primarily when my company relies significantly on my customers' data and the digital industry.
Run a competitive analysis. Finding out what my competition is and isn't doing will give me a better edge on filling the gaps and becoming the best option for my target market.
Don't be surface-level. Add depth to my content and make sure I always give value to my audience in everything I do.
Be consistent. Create a trustworthy brand and stand by my mission and vision no matter what. Let it reflect everything my business stands for, starting from the top down to my team's last member.
Evaluate my metrics. Run analytics at least quarterly to see how my content marketing strategy is doing. If something works, keep doing it or find ways to improve it. And if something doesn't work, find another way.
Check out Aki Balogh's website, MarketMuse, to learn more about creating content that gives businesses a competitive edge.
About Aki Balogh
Aki Balogh co-founded and is CEO of MarketMuse. Prior to MarketMuse, he worked with the CEO of InfiniDB, a Series B startup that made an analytic database for Big Data engagements. Before joining InfiniDB, he was an Associate at OpenView Venture Partners where he looked at Series B investments in Big Data & Machine Learning. Prior to that, Aki was a software developer and a management consultant in the Data Science practice of Diamond Management & Technology Consultants (now PwC Diamond Advisory).
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A list of forms that a particular word may assume. For example: write, writes, writing, wrote, written are different forms of the verb paradigm write.
Particularizer Adverb
A type of ADVERB which focuses attention on what follows, e.g. mostly in This is mostly true.
Participial Adjective
An adjective in the form of an -ed participle or an -ing participle.
A MINOR WORD CLASS consisting of the PARTICLE to (e.g. I want you to leave), as well as for (It's difficult for you to leave) and with (I can't read with you standing behind me).
Particle To
The PARTICLE which appears in TO-INFINITIVES: I want to leave.
Nouns, adjectives, adverbs, prepositions and verbs, amongst others, belong to different word classes and are known as Parts of Speech.
In a passive sentence, the PASSIVE AUXILIARY be is combined with the -ed participle of a verb, e.g. John was kicked.
Passive Auxiliary
This is the auxiliary verb be which is combined with the -ed participle of a verb to form the PASSIVE, eg. the money was stolen
A value for TENSE, which indicates that the event referred to took place in the past. It is indicated by an -ed inflection on regular verbs.
Perfective Aspect
PERFECTIVE ASPECT is grammatically encoded by the PERFECTIVE AUXILIARY + -ED PARTICIPLE of a VERB. For example, I have broken the glass. Perfective aspect indicates that an action/situation started in the past but has current relevance.
Perfective Auxiliary
The AUXILIARY have is used in combination with the -ED PARTICIPLE to denote PERFECTIVE ASPECT, eg. We have decided to leave
Peripheral Adjective
Peripheral adjectives do not fulfil all the criteria for membership of the ADJECTIVE class.
I (the speaker/writer) is a first person pronoun, you (the listener/reader) is a second person pronoun, and he/she/it are third person pronoun. First and third person pronouns also have a plural form: we (first person plural) and they (third person plural), whereas you is both the singular and plural form. The form of the verb has to agree with person. For example, I am, you are, he is, we are they are. For regular verbs all forms are the same except in the third person singular present tense which takes -s (e.g. she laughs, it works) - this is AGREEMENT or CONCORD.
Personal Pronoun
Personal pronouns are a type of PRONOUN which refer to people. They have SUBJECTIVE and OBJECTIVE forms depending on their function. Also includes it.
A phrasal verb is a MULTI-WORD VERB made up of a VERB and ADVERB. For example, The toaster blew up. Give up teasing your sister. The meaning of the phrasal verb is not usually obvious from the meaning of the parts. For example, blew up means 'exploded' and give up means 'stop'.
Phrasal-Prepositional Verb
A MULTI-WORD VERB comprising a VERB, an ADVERB and a PREPOSITION:
Jenny is looking forward to meeting you
I don't know how you put up with him.
A phrase is a syntactic unit which may be composed of one or more words. For example, Jim, the man; the girl in the corner. A phrase takes its name from the Head word. For example, ADJECTIVE PHRASE, ADVERB PHRASE, VERB PHRASE, PREPOSITION PHRASE. Phrases may have premodifiers and postmodifiers.
Place Adverb
A type of CIRCUMSTANTIAL ADVERB that refers to the direction in which an action is taking place, put the book there.
A form of the NOUN indicated by the -s INFLECTION, denoting more than one entity. The converse of SINGULAR.
Polysyndetic Coordination
COORDINATION in which all CONJOINS are linked by COORDINATING CONJUNCTIONS, John and Mary and Bill.
Possessive Pronoun
The possessive pronouns are my, mine, your, yours, his, her, hers, our, ours, their, theirs. They indicate possession. They can function as NOUNS, for example, Is this yours? Pass me mine, or as DETERMINERS, e.g. my house.
Postdeterminer
A type of DETERMINER which occurs after PREDETERMINERS and CENTRAL DETERMINERS. They include CARDINAL and ORDINAL NUMERALS, e.g. my two cats.
A phrase or clause which follows and modifies the meaning of a Head, for example
The book on the table
The man who sells fruit
fast enough
Postpositive Adjective
Postpositive adjectives occur after the nouns which they modify, for example, the governor general.
Predeterminer
A type of DETERMINER which generally specifies quantity in a NOUN. They include ORDINAL NUMERALS such as twice, half, all, and both. They occur before CENTRAL DETERMINERS and POSTDETERMINERS.
Everything that follows the Subject in a sentence is the Predicate of that sentence. For example, in the sentence the farmer shot the rabbit, the Predicate is shot the rabbit.
Predicative Adjective
A predicative adjective heads an ADJECTIVE PHRASE which follows a COPULAR VERB. E.g. He is clever.
Predicator
This is a functional term for the Head of the Predicate of a sentence. In the farmer shot the rabbit, the Predicate is shot the rabbit. The Head of this constituent is shot, which functions as the Predicator.
Premodifier
A phrase which precedes and modifies the meaning of a Head, for example, in very fast the adverb phrase very premodifies fast .
Prepositions are short words, including in, of, by, and with, that occur before a noun phrase. Some prepositions consist of more than one word (along with, out of, up to), and are known as COMPLEX PREPOSITIONS.
Prepositional Complement
The phrase that follows a preposition within a prepositional phrase is called a Prepositional Complement. This is usually a noun phrase. In the following examples, the highlighted phrases are Prepositional Complements:
around the shops
through the streets
on the bed
Prepositional Object
This term may be used to refer to two things: (1) the Object of a prepositional verb (I agree with your arguments) and (2) a PREPOSITIONAL COMPLEMENT (in the cupboard)
Prepositional Verb
A prepositional verb is a MULTI-WORD VERB consisting of a VERB + PREPOSITION. For example:
Shall we listen to this new CD?
I have to look after the kids.
In general, a prepositional phrase is made up of a preposition (the Head) followed by a noun phrase. For example, before two o'clock, from my grandparents, past the hospital, across the bridge. They can take a premodifier, eg. , just over the bridge.
A value for TENSE. It usually indicates that the action is occuring at the present moment. It is denoted by the -s inflection on regular verbs in the 3rd person singular.
Primary Verbs
The AUXILIARY VERBS be, have and do are called primary verbs when they act as MAIN VERBS. Examples: am a student, I have a car, I did my homework.
Progressive Aspect
Perfective aspect is grammatically encoded by the PROGRESSIVE AUXILIARY be + -ING PARTICIPLE of a VERB are used. For example, Marie is singing tonight. Sean was reading his paper. Progressive aspect indicates that an action/situation is ongoing.
Progressive Auxiliary (be)
The progressive auxiliary is AUXILIARY VERB be when combined with an -ING PARTICIPLE to form the PROGRESSIVE ASPECT. It must be distinguished from the PASSIVE AUXILIARY.
Pronouns can occur in positions typically occupied by nouns: Ann/she went on holiday to France. The doctor examined the children/them. This is a message for Jane/her.
Pronouns have a CASE contrast with SUBJECTIVE and OBJECTIVE forms. We distinguish the following types: PERSONAL, POSSESSIVE, DEMONSTRATIVE, REFLEXIVE, RELATIVE, INTERROGATIVE, INDEFINITE and RECIPROCAL. They are closed-class items.
A proper noun refers to a particular person or place (e.g. London, Justin). Proper nouns begin with a capital letter and are not normally preceded by DETERMINERS.
Prop it
A special use of the PERSONAL PRONOUN it, also called DUMMY IT, in expressions like: it is raining and hold it!
Pseudo-Coordination
Another term for FALSE COORDINATION.


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«Неуме́стный артефа́кт» (от ) — предмет (изделие, скульптура, сооружение и др.), предположительно имеющий искусственное происхождение и противоречащий общепринятым научным представлениям о факте или хронологии эволюции, развитии техники, исторической хронологии. «Неуместными артефактами» могут называться предметы, которые кажутся невозможными для производства с использованием технологии своего времени, как её представляет современная наука; выглядят как имеющие искусственное происхождение, но датируемые отдельными авторами ранее того времени, к которому наука относит возникновение человека («палеоартефакты»); выглядят как свидетельства контакта между культурами, которые, согласно научным представлениям, не вступали в контакт.

Термин используется в лексиконе псевдоархеологии и креационизма. «Неуместные артефакты» могут рассматриваться как «объекты изучения», в частности, в псевдоархеологии. Используются в качестве «доказательств» псевдоисторических идей, что «официальная история» неверна, и других псевдонаучных идей, включая «научный креационизм», палеоконтакт, криптозоологию и паранормальные явления, а также в нью-эйдж.

Большинство «неуместных артефактов», исследованных учёными, оказались подделками или неверно интерпретированными предметами.

Термин
Термин введён американским натуралистом и криптозоологом Айвеном Т. Сандерсоном и применяется к широкому спектру объектов, представляющих как научный интерес (например, железная колонна в Дели), так и популярных только в псевдонаучной среде.

В псевдонауке и массовой культуре

В псевдонауке «неуместные артефакты» используются в качестве материальных «доказательств» предлагаемых авторами концепций и необходимости пересмотра взглядов «официальной науки» на возникновение, развитие и историю человечества или отдельных культур (сочинения Эдварда Бо, Эриха фон Дэникена, Захарии Ситчина, Чарльза Форта, Грэма Хэнкока и др.). Сторонники подлинности всех или большинства «неуместных артефактов» позиционируют свою деятельность как подлинную науку и считают, что «официальная наука» игнорирует эти «артефакты», поскольку учёные придерживаются «научных догм» и пресекают попытки выйти за их пределы, выполняют коммерческий, государственный заказ или волю неких неизвестных участников глобального заговора.

Термин «неуместный артефакт» используется, как правило, в лексиконе креационистов и других групп, ищущих доказательства, способные опровергнуть теорию эволюции или подтвердить неподтверждённые наукой идеи и представления, например, Всемирный потоп. «Неуместные артефакты» используются как одни из основных «доказательств» псевдонаучной гипотезы палеоконтакта о посещении Земли в прошлом разумными существами внеземного происхождения, которые создали человеческую цивилизацию или оказали на неё существенное влияние.

Особую категорию «неуместных артефактов» составляют мегалитические постройки и другие крупные древние сооружения (например, геоглифы Наски, египетские пирамиды) — реальные древние объекты, создателям которых псевдоучёные приписывают владение высокими технологиями. Часто используются в качестве «доказательства» гипотезы палеоконтакта и рассматриваются как творения инопланетян или людей, использовавших внеземные технологии.

Одним из распространённых «аргументов» сторонников идеи палеоконтакта являются различные неверно интерпретированные реальные исторические изображения — наскальная живопись, рисунки и скульптуры шумеров, древних египтян и других народов, православные иконы и др. Любая фигура в головном уборе или с чем-либо вокруг головы интерпретируется как астронавт в скафандре, рогатый шлем — как радиоантенны, любой летящий предмет («колёса с глазами» из книги пророка Иезекииля, колесница Ханумана из «Рамаяны» и др.) — как летательный аппарат и др.

Научные объяснения
Большинство «неуместных артефактов», которые были исследованы учёными, оказались подделками (например, хрустальные черепа) или предметами, которым была дана неверная интерпретация в результате принятия желаемого за действительное (в том числе современными предметами, попавшими в породу — например, Артефакт из Косо, свеча зажигания, обнаруженная в 1961 году внутри конкреции в горах Косо, штат Калифорния; либо естественными образованиями, которые неспециалисту сложно отличить от искусственных — например, в случае с сообщениями о массе механических шестерён в древнем камне на Камчатке, оказавшихся члениками стеблей морских лилий) или недооценки уровня развития той или иной культуры (мегалитические постройки и др.).

Археологические находки и различные эксперименты показывают, что люди древности вполне были способны построить пирамиды и другие крупные древние сооружения без использования высоких технологий. Выдающиеся памятники средневековой архитектуры и архитектуры Нового времени не уступают, а во многом превосходят архитектурные сооружения Древнего мира. Изображения, выдаваемые за свидетельства знакомства художников прошлого с космическими скафандрами или их элементами (шлемами, наушниками), отражают такие обычные вещи как головные уборы, ритуальные маски, прически, орнаменты, нимбы. «Летательные аппараты» являются мифологическими объектами (небесные колесницы), аллегориями, метафорами, атмосферными явлениями и др.

Сообщения об этих находках могут быть вырваны из контекста или иным образом искажены (например, дорчестерская находка 1852 года, без достаточных оснований интерпретированная неспециалистами как древняя). Многие «неуместные артефакты» фактически недоступны для изучения (были утеряны или вовсе никогда не существовали и были плодом вымысла, например, «»), а сообщения о них исходят из недостоверных источников или не были надёжно задокументированы (например, газетное сообщение 1844 года, что шотландские рабочие нашли золотую нить, застрявшую в скале на глубине восьми футов под землей; газетное сообщение 1851 года, что в Калифорнии из расколотого куска кварца выпал гвоздь; сообщение 1891 года из Иллинойса, что женщина нашла золотую цепочку, вдавленную в уголь), описания объектов выглядят туманными и неточными. В этом случае нет оснований полагать, что описанные находки произошли так, как сообщалось из вторых или третьих рук, а не являются вымышленными или неверно интерпретированными.

По словам астрофизика Карла Сагана, «в длинном перечне поп-археологии "древних астронавтов" случаи, представляющие кажущийся интерес, имеют вполне разумные альтернативные объяснения, или о них сообщают неверно, или же они являются просто уклонением, мистификациями и искажениями фактов».

И в случае наличия отрицательного экспертного заключения, и в случае невозможности изучить объект и сделать конкретные выводы, сторонники псевдонаучных идей, как правило, продолжают утверждать, что «неуместные артефакты» являются подлинными.

Для науки не существует понятия «неуместности» какого-либо объекта или явления, и любой артефакт может быть предметом её изучения, если он существует в реальности. В соответствии с научным методом неизвестные ранее объект или явление, действительно противоречащие сложившемуся научному консенсусу, должны изменить этот консенсус, как в случае с антикитерским механизмом. Однако и в тех случаях, когда «неуместные артефакты» оказались существующими в реальности и подлинными, они вписывались в существующие исторические представления и в лучшем случае совершенствовали его, но не приводили к пересмотру сложившейся научной картины мира.

Некоторые «неуместные артефакты»

См. также
 Палеоартефакты
 Палеоконтакт
 :Категория:Неуместные артефакты

Примечания

Литература

  (pdf на сайте Всенаука).

 Feder Kenneth L., Frodi, miti e misteri. Scienza e pseudoscienza in archeologia, Avverbi.

 Fuso Silvano, Pinocchio e la scienza. Come difendersi da false credenze e bufale scientifiche, Dedalo.

 Stiebing J., William H., Antichi astronauti. Dalle pile di babilonia alle piste di Nazca, Avverbi.

Ненаучная

 Майкл Кремо и Ричард Лесли Томпсон, «Запрещённая археология: неизвестная история человечества» —

 Эрих фон Дэникен, «Колесницы богов: Неразгаданные тайны прошлого» —
 Грэм Хэнкок, «Следы богов» —

Ссылки

 Соколов А. Б. Подделки. Мифы об эволюции человека . ScienceVideoLab.
 Соколов А. Б. Древние великаны. Мифы об эволюции человека . ScienceVideoLab.

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