 At the end of the second decade of the twenty-first century, it is unclear how much has changed. On the one hand, there have been interesting developments in language generators. In particular, the release of Open AI’s GPT-3 (Brown, et al. 2020, Other Internet Resources) has prompted a flurry of excitement. GPT-3 is quite good at generating fiction, poetry, press releases, code, music, jokes, technical manuals, and news articles. Perhaps, as Chalmers speculates (2020, Other Internet Resources), GPT-3 “suggests a potential mindless path to artificial general intelligence”. But, of course, GPT-3 is not close to passing the Turing Test: GPT-3 neither perceives nor acts, and it is, at best, highly contentious whether it is a site of understanding. What remains to be seen is whether, within the next couple of generations of language generators – GPT-4 or GPT-5 – we have something that can be linked to perceptual inputs and behavioural outputs in a way that does produce something capable of passing the Turing Test. (For further discussion, see Floridi and Chiriatti (2020).)