BREAKING : OpenAI is releasing Prism, a new LaTeX native workspace for researchers where GPT-5.2 can work alongside you to help draft papers, revise citatins and more. Available to Pro users. A preparation for the "Innovators" level
LLMS
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Gemini reasoning effort selection via @ commands and tool call shortcuts
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Gemini now supports reasoning effort selection via @ commands. It seems like tool call shortcuts are in the works as well, based on these hidden prompt suggestions.
— 🚨 AI News | TestingCatalog (@testingcatalog) 27 janvier 2026
Previously, GEM shortcuts were tested internally too, but it seems like not anymore. https://t.co/Rf5YjCwaO0 pic.twitter.com/dWnjPrOnw3Gemini now supports reasoning effort selection via @ commands. It seems like tool call shortcuts are in the works as well, based on these hidden prompt suggestions. Previously, GEM shortcuts were tested internally too, but it seems like not anymore.
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Moltbot AI agent connects to local models via Ollama
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Now you can connect Moltbot AI agent (formerly Clawdbot) to your local models via ollama. All your data stays on your device, no API calls required. The best combo
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SP3F: Improving LLM Reasoning in Lower-Resource Languages
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We introduce SP3F: an algorithm to improve LLM reasoning in lower-resource languages (e.g., Indonesian, Bengali, and Swahili), no manual data collection needed! SP3F produces models that out-perform fully post-trained models across multiple tasks and languages🧵 [1/N]
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LobeHub: multi-model, direct API, agent marketplace, 70k GitHub stars
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Claude Cowork: $200/month. One model. macOS only.
Manus: VM-based browsing. Slow. Unstable. Expensive. LobeHub:
→ Multi-model support (switch freely)
→ Direct API access (faster, more accurate)
→ Agent marketplace to discover and remix
→ 70k GitHub stars foundation More -
How AI Chatbot Tools Like Clawdbot Emerge Rapidly
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Wondering how tools like Clawdbot / Moltbot are emerging so quickly?
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Clawdbot Risk Prevention for Non-Tech
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Prevention message, following the hype:
I dread the moment when clawdbot will leave the circle of geeks.
If "non-tech" people start using it without being aware of security issues, how models work, their limitations, and associated risks. -
Anthropic CEO warns of AI civilizational risks and new tools
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Top stories in AI today: Anthropic CEO on AI’s ‘civilizational’ danger
Anthropic embeds interactive apps inside Claude
Build your own design system for AI
Microsoft's powerful new Maia 200 AI chip
4 new AI tools, community workflows, and more Read more: https://
therundown.ai/p/anthropic-ce
o-confronts-ais-dangers
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Now anyone can build n8n agents easily using Claude with this prompt
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Now anybody can build n8n agents easily using Claude with this prompt. loved it.
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Grassmann model trails in perplexity but leads in SNLI accuracy
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Does it actually work in practice? Wikitext-2 (language modeling): 13M param Grassmann model: 275.7 perplexity
13M param Transformer: 248.4 perplexity
Gap: ~11% behind SNLI (natural language inference): Grassmann head: 85.50% validation accuracy
Transformer head: 85.45%