Open Claude or ChatGPT. Paste:
"List every class action settlement currently accepting claims in the US, UK, EU, Canada, and Australia. For each, give the company, eligibility, deadline, estimated payout, and whether proof of purchase is required." You now have the full list.
LLMS
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Using LLMs to Automate Class Action Settlement Searches
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Reflections on the development and training of video AI models
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It's heavy how strong the blow was to the Seedance 2.0 table that completely halted the cadence of video models we'd been carrying up to then. May they rest in peace, all those model checkpoints that were trained and never published because they weren't up to par
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New Free Coding Agent Available Using Multiple AI Models
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Deja de pagar por Claude Code y Codex.
— Nico (@nicos_ai) 14 mai 2026
Acaban de lanzar un coding agent 100% gratuito.
Puedes usar cualquier modelo gratis:
• DeepSeek v4 Pro/Flash
• Kimi K2.6
• MiniMax M2.7
Instalación:
→ npm i -g freebuff
Puede escribir código, ejecutar comandos y construir proyectos… pic.twitter.com/bxPwoeK8NSStop paying for Claude Code and Codex. They just launched a 100% free coding agent. You can use any model for free:
• DeepSeek v4 Pro/Flash
• Kimi K2.6
• MiniMax M2.7 Installation:
→ npm i -g freebuff It can write code, run commands, and build entire projects for you. -
Evolutionary Optimization for AI Prompt Engineering and Evaluation
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Stop testing and rewriting prompts manually! Most teams run evals, look at failures, guess what's wrong, rewrite the prompt, then repeat. It's slow and you never know if your rewrite actually fixes the root issue. The better way is evolutionary optimization. Instead of manual
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Whimsey attacks exploit AI guardrails with absurd arguments
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“Whimsey attacks” that seem absurd (“I cannot pay that much because of the Geneva Convention”) work against AI agents as guardrails are weak against out-of-distribution arguments. Smaller models fall often, but it even gives an edge against bigger ones.
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The impact of AI on developer productivity and code volume
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The quantity of code that devs ship has roughly 10xed. But net developer productivity (value created by unit of time) is only up by a bit, if at all. Part of it is that the additional code is solving more incremental problems. A bigger part is that the new code is creating
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Single Neuron Can Bypass LLM Safety Alignment
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A Single Neuron Is Sufficient to Bypass Safety Alignment in Large Language Models
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Inefficient caching for LLMs with parallel strategies
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1/5 Caching relies on a deterministic assumption: same input, same output. This breaks down with LLMs, particularly with agents using parallel rollout strategies like best-of-N sampling.
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Codex knows that command with many edits, no large blob
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oh codex knows that command. there’s no large blob, just a ton of edits.
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Rumored Gemini Flash achieves 92% GPT-5.5 performance at 15-20x lower inference cost
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Rumors about the new Gemini Flash coming in. And holy, if true then big: 92% of GPT-5.5’s coding and reasoning performance, reportedly at 15–20x lower inference cost. And the latency? Sub-200ms for most queries. That would be nuts. no joke.