Before the #chatGPT wave, there was some key moment in history I would like to highlight about chatbots. There was #apple #siri from @julialuc , and behind it, there was the A.I.M.L language. It was some xml tree, where you create topic, predicate to respond to user with
GENERATIVE AI
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GPT-4 productivity gap between expert and mediocre programmers
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Les réactions à ce tweet sont instructives Les excellents informaticiens par exemple les Polytechniciens se servent tres bien de GPT4 qui explose leur productivité Les médiocres expliquent que GPT4 est nul et ne sert à rien On voit la fracture entre ceux qui sont tres
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Goldman Sachs: Generative AI Could Boost GDP 7% Yet Displace 300M Workers
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Goldman Sachs suggests that "generative" AI such as #ChatGPT could boom productivity and raise global GDP by 7% over a decade. However, this could also expose 300 million full-time workers across major economies to automation. #Lawyers and administrative https://
ft.com/content/7dec44
83-ad34-4007-bb3a-7ac925643999
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Publishers demand compensation from Microsoft and Google for AI content use
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Online publishers want compensation for the use of their content in #AI tools and look to be on a collision course with tech companies such as Microsoft and Google https://
wsj.com/articles/publi
shers-prepare-for-showdown-with-microsoft-google-over-ai-tools-6514a49e
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AI Models Now Outperforming Average Human Performance
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We are at the point now that model outputs are better than the average human being huh.
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Microsoft Identifies Sparks of AGI in GPT-4 Deep Dive
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Microsoft Does a Deep Dive on GPT-4, Finds “Sparks of AGI” https://
syncedreview.com/2023/03/27/mic
rosoft-does-a-deep-dive-on-gpt-4-finds-sparks-of-agi/
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Search Results Dominance in AI Content Ingestion Systems
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I think it’s trying a couple different searches and the same result is always at the top, and you’re not seeing the other content it’s ingesting.
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Building an Autonomous AI Agent for Founder Concept
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I was experimenting w an “AI founder” concept and ended up building an autonomous agent
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Open-Source Decentralized LLMs vs Closed-Source Competition
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The biggest near-term question in AI: Will open-source LLMs with decentralized training be competitive with closed-source and centralized LLMs?
