What if an AI could think in pictures and words simultaneously, without the usual translation lag? Researchers from Shanghai Jiao Tong U, Tsinghua U, and UCSD present LatentUM. They built a single model that processes images, text, and actions all in one shared "semantic
LLMS
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Congratulations for 16 billion tokens per minute
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16B tokens per minute is insane number! Congrats
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OpenHarness: Open-Source Agent Harness for AI Systems
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Lightweight agent harness for building AI agents! OpenHarness is an open-source agent harness that gives LLMs tools, memory, permissions, and coordination. Here's the concept. The model provides intelligence. But to be a working agent, it needs tools to interact with the world,
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Freed compute capacity suggests GPT-5.5 will transform the conversation
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If image-2 is what the freed up compute looks like, gpt-5.5 is going to be a different conversation entirely.
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GPT 5.5 Release Expected Thursday, List Updates Needed
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Ask again after thursday when gpt 5.5 drops. That list might need updating.
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Claude Code Reverse-Engineered: Only 1.6% Is Actually AI Model
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Researchers reverse-engineered Claude Code. Only 1.6% is actually AI. The other 98.4% is infrastructure around the model. Permission gates, tool routing, context compaction, session recovery. The model just reasons. Everything else runs the show. The core loop is a plain
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Engineering Ethics: When Not to Build with LLMs
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We’re entering a phase where “can we build it?” matters less than “should we build it this way?” Energy, cost, and latency are becoming very important societal decisions. LLMs are powerful, but they’re not always the right abstraction. Good (AI) engineering is knowing when not
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AI Confidently Explains Tasks Without Actual Experience or Self-Awareness
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it'll tell you exactly how to do something it has never actually done and have no awareness that those are different things.
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Model Strategy for Fine Detail Quality Generation
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In the end, I think it's part of the strategy that allows the model to generate fine detail with quality. But of course, once you notice it, you won't stop seeing it. You're welcome!
