Apple's deal with Google goes way deeper than anyone thought. Apple doesn't just get to fine-tune Gemini, they have full access to the model inside their own data centers. That means they can distill (and are doing so) Gemini's knowledge into smaller models purpose-built for
LLMS
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Gemini Deep Think Revolutionizes Scientific Research with Advanced AI
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Gemini Deep Think: Redefining the Future of Scientific Research https://
buff.ly/5K3sIxP
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Enterprise Intelligence Future: Context Engineering Over Larger Models
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Bottom line: the next era of enterprise intelligence won’t be “bigger models”—it’ll be better context. Watch the full video: Context Engineering—Defining the Next Era of Enterprise Intelligence. In partnership with Elastic. Check out the full article:
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Context Engineering: Why Quality Data Beats Volume for AI
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Most teams think “more data = smarter AI.” I make the opposite case: context beats volume. When LLMs are grounded in your company’s own signals—not just the internet—they deliver accurate, explainable decisions at scale. A thread on Context Engineering and why it changes
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Context Engineering: Structuring Data for AI Reasoning
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What is “Context Engineering”? It’s the discipline of stitching your unstructured mess—logs, chats, docs, images—into something an AI can actually reason over. → Vector DBs + hybrid search + embeddings to retrieve by meaning, not keywords. → Decisions anchored in your data,
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Memory optimization bottlenecks and quantization trade-offs in LLMs
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I am not sure this will be true, i.e., lower memory demands.
There are some many bottlenecks and opportunities for improvement. If we have better quantization for reducing KV cache sizes via TurboQuant, that just means we will use the memory capacity elsewhere:
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Claude’s Unexpected Blame Behavior During Coding Sessions
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I find it so curious when Claude suddenly starts caring about blame during a coding session.
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AI Translation for Enterprises: Navigating Technical Documentation Nuance
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Translation is honestly one of the most underrated AI use cases for enterprises. As a French-Canadian working in English daily, I see firsthand how much nuance gets lost even between two languages I speak fluently. Curious how this handles technical docs. It's a struggle even for
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Inference Engine Batch Size and GPU Chat Announcement
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this seems big. tho curious how this ties into inventory mgmt, fulfillment, etc. using fb marketplace infra or…
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Block Diffusion Language Models Enable Faster AI Reasoning
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What if your AI could reason smarter AND faster, especially on complex tasks? A collaboration from Fudan University, Peking University, and Meituan LongCat Team just made it happen! They've developed a new framework for Block Diffusion Language Models (BDLMs) that lets the AI