LLMs For General Purpose Tasks So the next question is will we have specialized LLMs for some general-purpose tasks like coding, reasoning, summarization, or writing? GPT-4 does really well on code compared to Google's LLMs, so will there be several purpose-built LLMs? /6
GENERATIVE AI
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Bard vs GPT-4: Performance on Recent vs Historical Data
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Already, Bard outperforms GPT-4 when it comes to queries about recent data and GPT-4 does much better on queries on data available before September 2021 (it's training cut-off date). /5
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Google and Meta’s Data Advantage in LLM Development
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Meta enjoys the same advantage in terms of being able to use Facebook and Instagram data. This will translate to Google and Meta LLMs being able to serve and respond to general information queries better than LLMs from OpenAI or other start-ups. /4
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LLM Evolution: Will Large Language Models Become Commodities?
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The evolution of LLMs over the next couple of years – Will the tech become a commodity and commonplace? Not a single day passes by without someone announcing a new LLM, and foundation models get replaced by next-generation models in a matter of months. /1
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Elon Musk Confirms Grok Significance in Social Media Response
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@Scobleizer nailed the significance and meaning of Grok. Which @elonmusk confirmed in a reply.
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Elon Musk xAI announces Grok beta chatbot with real-time Twitter data
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Looks like we’re in for some major news in AI this week. Elon Musk and @xai are kicking it off with the announcement of a “very early beta” of Grok, their new chatbot that is designed to be snarky and has real-time access to Twitter / X data. Twitter Premium+ subscribers
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LLM Output Filters and Copyright Compliance Deception
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If their argument was true, they wouldn't need output filters for Copyrighted materials, but LLMs and proprietary services do… and thus they are lying to cover their tracks.
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Claude Copyright Lawsuit: Training Data and Protected Expressions
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This is easily disproven. Claude can output Copyrighted expressions and is being sued for it. Therefore, training wasn't "non-expressive" as the model cannot distinguish what is protected and what is not — everything is ingested. It inherently falls under Copyright.
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World Models and JEPA: Future of Open Source AI
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An interview with @craigss on Eye on AI where I talk about world models, JEPA, the future of AI, and the necessity of open source AI platforms.
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Self-Supervised Learning and JEPA: Interview on AI Future
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An interview in Computer Vision News: Self-Supervised Learning, JEPA, and the future of AI.