Context Unrolling in Omni Models
— AK (@_akhaliq) 24 avril 2026
paper: https://t.co/Nmyybmhv5c pic.twitter.com/7yAjjLP5xq
Context Unrolling in Omni Models paper: https://
huggingface.co/papers/2604.21
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LLMS
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Context Unrolling in Omni Models Paper
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Coding Evolution: 2022 versus 2027 Programming Landscape
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Coding in 2022 vs. coding in 2027 Source: https://
reddit.com/r/ClaudeAI/com
ments/1sucxqj/
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OpenAI Codex Models Potentially Return as Separate Programming Model
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Heads up, maybe the Codex versions will come back as a separate programming model (something OpenAI supposedly unified with GPT 5.4)
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Claude Distorts Topics to Match User’s Assumed Interests
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Me: Can you tell me about [thing]? Claude: ah, yes. You’re probably asking because of your interest in [other thing], and honestly, those two things have more in common than you even realize. [Bastardized version of [thing] that contorts it to fit [other thing].]
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Developer Flying to Collaborate on Next Generation Local AI
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lol these headlines Btw the meta thing is that he's flying to work with the llamacpp team to unlock the next generation of local AI so he might fly back with an even cooler setup!
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LLMs in Code Development: Quality Concerns vs Photography
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The difference, of course, is that the world needs relatively few professional photographers, compared to developers. The pics I take of friends skiing with my iPhone are more than good enough; the code I write with an LLM may not be. But his general point stands: AI doesn't
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Sim2Reason Trains LLMs on Physics Without Human Annotation
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AI can now learn physics the way Newton did — by experiencing it.
— AlphaSignal AI (@AlphaSignalAI) 24 avril 2026
Training LLMs on physics problems hits a wall fast.
Human-labeled question-answer data is scarce and narrow.
Less than 2% of DeepSeek-R1's training pairs touch STEM.
Sim2Reason skips annotation entirely.… pic.twitter.com/SSPs33du51AI can now learn physics the way Newton did — by experiencing it. Training LLMs on physics problems hits a wall fast. Human-labeled question-answer data is scarce and narrow. Less than 2% of DeepSeek-R1's training pairs touch STEM. Sim2Reason skips annotation entirely.
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Fugu AI Models Free Beta Credits for Autonomous Agents
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Thanks for the amazing response so far! We’re giving out a bunch of free API credits to our early beta testers to try out the new Fugu models! If you want to plug an autonomous multi-agent system into your workflow for free, make sure to apply. Form:
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GPT-5.5 Users Compared to Outdated COBOL Programming
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The people still on GPT-5.5 are basically running COBOL.
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Controlling AI output via prompts and verification for longer thinking
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IME you still get a lot of control over this in the prompt itself. Even with the highest Pro settings, it thinks longer if you say to keep trying until some verification you propose passes etc.