That's a model issue, not a hardness issue.
LLMS
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DeepSeek-V4 Breakthrough: Massive KV Cache Efficiency Gains
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DeepSeek-V4 just dropped! And it's solving one AI's biggest problem today: It runs 1M-token context at 10% of the KV cache and 27% of the inference FLOPs of V3.2. Here's what that means. KV cache is the memory footprint your GPU holds for every token already in context. It
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Critique of 4o’s Gen-Z personality and improvements in 5.x
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Yeh that rings true to me. Also I always disliked the distinctly gen-z personality of 4o, and 5 felt like 4o’s personality invading o3. I notice this problem less with each successive 5.x release.
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Google Reshapes Search Maps and AI Agents With Reasoning AI
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Google And The Future Of Search, Maps And AI Agents #Google is reshaping #Search, #Maps, and digital assistance around #AI that can reason, personalize results, and increasingly take action, while keeping trust and user control at the center. In this conversation with Google
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Deepseek v4 moat: frontier intelligence at third cost
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Deepseek v4 real moat? Sota intelligence at ~1/3 of frontier labs prices
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No malice assumed: TiKZ unicorns training not in OAI’s interest
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I don’t see any reason to assume malice here—even if increased training on TiKZ unicorns is the true explanation, you’d expect it to happen naturally given the impact of Bubeck’s work. More generally it’s not in OAI’s interest to “bechmaxx” weird tests and they surely know this.
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GPT 5.5 Launch: The Overlooked Innovation Beyond the Flagship Model
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i think the most underated part of today's launch is not GPT 5.5 at all
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DeepSeek Flash vs Pro Pelican Image Generation via OpenRouter
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These pelicans are kind of angry looking! Left is deepseek-v4-flash, right is deepseek-v4-pro – both generated using OpenRouter via my LLM tool
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Self-Knowledge Enhances Codex Usability and Performance
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self-knowledge makes codex so much more usable