Ever wonder what happens when inference speeds up? DevTalks Ep 3 is diving into this with @Cline
. It's not about replacing you, it's about staying in control while things get smoother. Don't miss out https://
sambanova.ai/webinar-ai-ass
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LLMS
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Faster AI Inference Transforms Assisted Coding Workflows
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Are LLMs Really More Important Than Fire or Electricity?
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Are LLMs really more important than fire or electricity? “Honestly, a ton of what we’ve developed in my lifetime amounts to scaling up the delivery of information and entertainment and the frictionlessness of certain financial transactions. These are real improvements! … But
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Token Importance in On-Policy Distillation with Selective Training
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"TIP: Token Importance in On-Policy Distillation" This paper introduces selective token training for on-policy distillation, relying on student entropy to find high-signal tokens. A key point is that entropy misses confident mistakes, so they add teacher-student divergence to
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Scaling Self-Play with Self-Guidance for Theorem Proving
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"Scaling Self-Play with Self-Guidance" The main problem with self-play for theorem proving is that generator usually learns to reward hack, which produces messy hard problems that do not help the solver. This paper suggests by adding a Guide model that scores generated
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GPT-5.5 Launches on Perplexity and as Default Orchestration Model
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GPT-5.5 is now available on Perplexity for Max subscribers. GPT-5.5 is also rolling out as the default orchestration model in Computer for both Pro and Max subscribers.
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Top 5 AI News: GPT-5.5 and ChatGPT Images 2.0 Released
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These are the top 5 AI news stories from the past week that you should actually care about: – @OpenAI dropped GPT-5.5 that’s supposed to need less prompting for better answers
– OpenAI also released ChatGPT Images 2.0 with people saying it beats Nano Banana
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GPT-5.5 Now Available in Cursor at 50% Discount
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GPT-5.5 is now available in Cursor! It's currently the top model on CursorBench at 72.8%. We've partnered with OpenAI to offer it for 50% off through May 2.
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Structured Memory Systems for Long-Horizon LLM Behavior
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Good agent memory paper. And great insights on the benefits of structured memory for long-horizon behavior in LLMs. Why it matters: It treats memory less like search and more like a system that will need maintenance (which they often do). Flat memories are cheap to write.
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Schools May Limit LLM Use in Educational Settings
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And eventually schools will (if they have any sense) probably withdraw or limit LLMs.