What if you could boost any AI's performance just by rephrasing your prompts? Researchers from FaceMind & CUHK propose "Adam's Law": a simple but powerful principle that more common, frequently seen text improves LLMs. Their method paraphrases inputs into more frequent
LLMS
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Cortex-AI Provides Unified Memory Layer Across Multiple LLM Tools
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🚨 Tired of losing your context whenever you bounce between different AI tools?
— Charly Wargnier (@DataChaz) 23 avril 2026
My friend @MSaintjour just released a cool fix 👀
Meet Cortex-AI.
→ Serves as a unified, shared memory layer across all your LLMs.
→ Connects instantly with Claude Code, Windsurf, ChatGPT, and… https://t.co/EL0iQIdcCrTired of losing your context whenever you bounce between different AI tools? My friend @MSaintjour just released a cool fix Meet Cortex-AI. → Serves as a unified, shared memory layer across all your LLMs.
→ Connects instantly with Claude Code, Windsurf, ChatGPT, and -
DR-Venus: Frontier Edge-Scale Deep Research Agents with 10K Data
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DR-Venus Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data paper: https://
huggingface.co/papers/2604.19
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RLVR Effectiveness in Low Data Compute Regimes Study
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Our MLSys 2026 paper is live on arXiv: “Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes.” @realjustinbauer @Walshe_tech @pham_derek @harit_v @ArminPCM @fredsala and @paroma_varma present a comprehensive empirical study of open-source SLMs
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New 5.5 Model Release Competing with Anthropic’s Offerings
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Translation: we're going to release the 5.5 this afternoon, which will be a model that we're going to sell at the level of Mythos, but differentiating ourselves from Anthropic in that we have the computing power to offer it to the public.
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MIT Improves Reasoning Model Confidence Calibration Through RL Training
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How do top reasoning models become overconfident? MIT found that RL rewards correct answers w/o considering how sure the model is. By training them to estimate their confidence about each answer, the team boosted uncertainty estimates w/o hurting accuracy:
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Claude GPT agents robots breakthrough medical advances
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Ces derniers jours donnent le vertige : Claude et GPT franchissent un nouveau cap, ouvrant un champ des possibles sans précédent. Google lance ses agents IA. La Chine fait courir un semi-marathon à ses robots humanoïdes. Des maladies jusqu'ici redoutables sont sur le point
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Scaling Test-Time Compute for Agentic Coding
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Scaling Test-Time Compute for Agentic Coding Kim et al.: https://
arxiv.org/abs/2604.16529 #ArtificialIntelligence #AIAgents -
User Switches from Kimi 2.5 to GLM 5.1 Over Performance Issues
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Not just slow but poor performance on tasks. Kimi 2.5 has had some task and tool following problems too. I've shifted to GLM 5.1 for now.