Can you control a large language model without breaking its brain? Zhejiang University and Alibaba Group researchers just showed how. They unify all model control methods (fine-tuning, LoRA, activation edits) into one single framework, separating effects into "preference"
GENERATIVE AI
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Daily LLMs and AI Agents Knowledge Sharing
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Found this helpful? Like and repost to share the knowledge. Follow me → @datachaz for your daily dose of LLMs and AI agents.
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Tolaria: Free Mac App for AI Knowledge Building
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@Karpathy
's LLM wiki concept just became a real Mac app. It is called Tolaria, a free desktop app for Mac and Linux. The goal is simple: give humans and AI agents a shared, native environment to build knowledge. It writes like a modern block editor, but saves everything as -

Companies Want AI Penthouse Without Building Basement
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Everyone wants the AI penthouse. Almost nobody wants to pay for the basement. What I keep seeing is the same pattern: companies want AI outcomes without investing in AI foundations. The exciting layer gets funded first: → GenAI pilots
→ strategy decks
→ dashboards
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Image Generation and Codex Outperform Coding Agents
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thanks for the thoughtful write up! yes frontend is top of the mind, although, in my biased pov if you use imagegen paired to generate what you want and then ask codex to build whatever you want – it beats any coding agent out there good catch on the synthesis – I wonder if you
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Startup Launches Paid AI Expert Versions Service
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This Startup Wants You to Pay Up to Talk With #AI Versions of Human Experts
by @StevenLevy @WIRED Learn more: https://
bit.ly/41RhtjB #ArtificialIntelligence #MachineLearning #ML -
Open Source AI Model Released Despite US Restrictions and Budget Constraints
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I agree, I think the tweet could’ve been phrased a bit more clearly My main point was simply how wild it is that they released a model like this as open source on such a tight budget, considering the heavy US restrictions etc. etc.
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Managing Hidden Risks of Generative AI in Enterprise
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Governing the hidden risks of generative #AI in the enterprise
by Ian Jeffs @techradar Learn more: https://
bit.ly/4cJJEWF #MachineLearning #ArtificialIntelligence #ML -
Models Can Be Prompted to Repair Their Taste
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It makes sense, but there is no obvious reason why models could not be prompted into repairing their taste
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Grok Prefers AI-Generated Comments Over Human Ones
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anecdotically, when i made a twitter filter for ai comments, grok liked the ai written comments a lot better
