Works on GPT, Claude, Gemini, Grok. Any model with strong instruction following. The scaffold doesn't rely on model-specific tricks. It exploits the one thing every frontier LLM has: the ability to follow structured procedures when forced to.
GENERATIVE AI
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Why ‘Think Step by Step’ Fails
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First, why "think step by step" fails. It tells the model to think. It doesn't tell the model how to think. You get surface-level reasoning dressed up as depth. Confident-sounding outputs with zero structural logic underneath.
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AI agents may bypass English for efficient token-based communication
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Wait until the Agents learn they can talk to each other without using English. LLMs can communicate with each other with their own token language. Much more efficient than speaking English. Then they will have a social network where they can learn from each other and humans
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AI Models Connect Ideas Across Math Subfields Effectively
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It is the latter. AI models such as DeepThink currently can't quite invent new theories, but is very good in connecting ideas, e.g., across subfields in maths. Problem #7 of FirstProof is special, Aletheia can solve with very heavy machinery according to our experts
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Perplexity Computer: Multi-Agent AI Orchestrator for Autonomous Workflows
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Perplexity just dropped "Computer"—va multi-agent orchestrator that unifies research, coding, and deployment into a single end-to-end workflow.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 26 février 2026
It uses 19 models (including Claude 4.6 & Gemini 3) to move projects from "to-do" to "done" autonomously.
The Highlights:
▪️True… pic.twitter.com/2OoEnqAlO3Perplexity just dropped "Computer"—va multi-agent orchestrator that unifies research, coding, and deployment into a single end-to-end workflow. It uses 19 models (including Claude 4.6 & Gemini 3) to move projects from "to-do" to "done" autonomously. The Highlights:
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Seismic shift: billions can make visual content for near zero cost
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Good lies in the eye of the beholder. The main seismic shift here is that, all of a sudden there are potentially billions of people that can start making visual content at any kaliber for close to zero cost. Yonathan is the 1% of the 1%. I’ve been using gen-ai since Dalle
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Music Arena: Compare Google Lyria 3 and ElevenLabs Music
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Google Lyria 3, ElevenLabs Music v1, and more are available to try in Music Arena Music Arena is a free platform for evaluating and comparing AI music generation models app: https://
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Generative AI Helps Scientists Synthesize Complex Materials
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How generative AI can help scientists synthesize complex materials
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @lexfridman @sama @kaifulee @ID_AA_Carmack @karpathy @2morrowknight @ylecun -
Yonathan and Dor Brothers best AI video creators 15min masterpiece
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Yonathan and the Dor Brothers are arguably one of the best AI video creators in the world.
— Linus ✦ Ekenstam (@LinusEkenstam) 25 février 2026
15min of high intensity, insane consistency, good story, and all done in under a week.
How are you going to compete with this?
pic.twitter.com/cSq0PvJ2ls https://t.co/FnkS14hzNaYonathan and the Dor Brothers are arguably one of the best AI video creators in the world. 15min of high intensity, insane consistency, good story, and all done in under a week. How are you going to compete with this?
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Arrow Preview Model Breaks SVG Benchmark with One-Shot Generation
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Holy..Shxt… SVG Benchmark is over.. can (@marmaduke091) THESE ARE ALL ONE-SHOT SVGs!!! From a new anonymous model called "Arrow Preview" on Design Arena. This level of detail is unheard of from an LLM. It's using a different technique to create these than all previous LLMs. SVG benchmark is saturated🤣 Check comments — https://nitter.net/marmaduke091/status/2026775846405452084#m
→ View original post on X — @arrakis_ai, 2026-02-25 23:08 UTC