The irony. Using AI (GPT 5.5), errors have been identified that would affect 1/3 of the problems in the FrontierMath benchmark Tiers 1-4. This could represent a shift in the evaluations of AI's mathematical capabilities, which may be underestimated.
LLMS
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Claude Code introduces Agent View for managing parallel AI sessions
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🆕 Claude Code just dropped Agent View — and it's a big deal for devs running parallel AI sessions 👇
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 12 mai 2026
Instead of managing 10 terminal tabs, you now get ONE dashboard to:
▪️Launch & background agents
▪️See what's working, waiting, or done
▪️Reply inline or jump into full sessions… pic.twitter.com/40WD7u84oYClaude Code just dropped Agent View — and it's a big deal for devs running parallel AI sessions Instead of managing 10 terminal tabs, you now get ONE dashboard to:
Launch & background agents
See what's working, waiting, or done
Reply inline or jump into full sessions -
AGI ALPHA: Scalable Substrate for Intelligence Organizations
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"AGI ALPHA: A Scalable Substrate for Intelligence Organizations" Vincent Boucher, President of http://
MONTREAL.AI and http://
QUEBEC.AI Paper: https://
github.com/MontrealAI/agi
alpha-first-real-loop/blob/main/docs/manuscript/AGI_ALPHA_Unified_Publication_Final.pdf
… #AGIAlpha #QuebecAI #SovereignAI -
The Shift from Chat to Action in Enterprise AI Agents
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Enterprise AI is moving from chat to action. ServiceNow’s new Action Fabric matters because it gives AI agents governed ways to execute workflows, not just read data. That is the real test for 2026:
Can your agents act with permissions, auditability, and policy guardrails? -
Open-source backend réduit les tokens IA de 3x
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An open-source backend layer just cut AI agent tokens by 3x.
— AlphaSignal AI (@AlphaSignalAI) 12 mai 2026
Claude Code burned through 10.4M tokens with 10 errors on a single project.
One change cut that to 3.7M tokens with zero errors.
The fix was adding InsForge as a backend context layer.
It's an open-source platform… pic.twitter.com/RnoconUkANAn open-source backend layer just cut AI agent tokens by 3x. Claude Code burned through 10.4M tokens with 10 errors on a single project. One change cut that to 3.7M tokens with zero errors. The fix was adding InsForge as a backend context layer. It's an open-source platform
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Improving LLM reasoning with the self-consistency prompting technique
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Stop rewriting your prompt when ChatGPT/Claude gets a reasoning question wrong. I used to do this. Spend 10 minutes tweaking the wording, adding context, trying different angles. The answer barely changed. Now I use a technique called self-consistency. It came out of Google
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AI Model Fine-Tuned for Role-Play as a Bicycle
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The previous edition had an unhinged AI bicycle companion that was fine-tuned to role-play as a bike. If you asked it "what is a transformer?", it'd answer "I don't know, I'm a bike." Absolute 10/10 idea
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Soohak: A Benchmark for Evaluating Research-level Math in LLMs
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Soohak A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs
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Sharing Papers and Apps on Hugging Face
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Paper:
https://huggingface.co/papers/2605.10922
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App:
https://huggingface.co/spaces/TencentARC/Pixal3D
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