AI & Machine Learning
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Generative AI is the bridge to the next computing paradigm of wearables, just like the Internet bridged the gap from PCs to smartphones.
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The first wave of successful AI implementations will probably look more like the first wave of computing, which was dominated by large-scale enterprise installations that eliminated jobs. Consumer will come later.
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A single AI can never make everyone happy, which is fundamentally threatening to the Aggregator business model; the solution is personalized AI
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More on Bing, particularly the Sydney personality undergirding it: interacting with Sydney has made me completely rethink what conversational AI is important for.
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The first obvious casualty of large language models is homework: the real training for everyone, though, and the best way to leverage AI, will be in verifying and editing information.
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ChatGPT Enterprise, Connectors and Small Businesses, Nvidia Competitors
ChatGPT has an enterprise offering, continuing its coopetition with Microsoft. Then, an overview of Nvidia’s competitors.
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Apple Earnings; OpenAI, GPTBot, and Robots.txt; Zoom’s Terms-of-Service
Apple’s earnings were boring, which is a credit to the company, while OpenAI and Zoom raise questions about data and AI
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Google I/O and the Coming AI Battles
Google A/I suggests that AI is a sustaining innovation for all of Big Tech; that means the real battle will be between incumbents and Big Tech on one side, and open source on the other.
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An Interview with Replika Founder and CEO Eugenia Kuyda
An interview with Replika founder and CEO Eugenia Kuyda about relationship AI, what actually matters for consumers when it comes to chatbots, and the Replika risks and risqué.
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ChatGPT Gets a Computer
It’s possible that large language models are more like the human brain than we thought, given that it is about prediction; that is why ChatGPT needs its own computer in the form of plug-ins.