MolHIT Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models
GENERATIVE AI
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Modular Agent Architecture with Conversational and Investigatory Routing
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In a modular agent setup, a router first classifies the request as conversational or investigatory. If investigatory, a retrieval module fetches relevant docs [eval: grounding], and a synthesis module integrates the evidence into a response [eval: faithfulness, coverage].
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Google deploys Nano Banana 2 in its apps
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BREAKING : Google is gradually rolling out Nano Banana 2 across Gemini apps! NB2 is based on Gemini 3.1 Flash and is set for the today’s release. Did you get it already?
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Economic Collapse Scenario: IPOs, Software, and Job Losses
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Okay so basically:- 1) IPOs are dead 2) Software is dead 3) AI will take jobs away 4) Open AI will crash 5) Msft will go down with open AI 6) Jobless economy will lead to low consumption 7) Government will distribute too much freebies 8) And, you will be taxed to death due to tariffs Yeah, seems about right 😅
→ View original post on X — @akshat_world, 2026-02-26 13:00 UTC
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AI Agents, Models, Tools, and Ethics Shape Today’s Landscape
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Top stories in AI today: – Perplexity’s 19-model AI agent ‘Computer’
– Claude Opus 3 gets its own blog in retirement
– Turn bookmarks into something useful with Comet
– Gucci faces internet backlash after AI ads
– 4 new AI tools, community workflows, and more -
Why I Use Claude Frequently
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Here's why I use Claude a lot: 1. It actually reads your entire document before answering, not just the first paragraph
2. Longest context window means I never hit "memory full" mid-project
3. Writes like a human, not like a press release
4. Pushes back when I'm wrong instead of -
Materials Science and Generative AI Revolutionize Scientific Discovery
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This was a very nice interview by Latent Space in sunny San Diego at Neurips. https://t.co/lHUta2ezG9
— Max Welling (@wellingmax) 26 février 2026This was a very nice interview by Latent Space in sunny San Diego at Neurips. Latent.Space (@latentspacepod) 🔬 New Science pod with @cusp_ai! We are entering a new era where materials science and discovery is transitioning from slow, manual experimentation, to a high-speed search problem powered by generative AI and "physics processing units." @wellingmax argues that the foundation of all modern technology—from GPUs to climate solutions—is a materials problem, and that unifying the mathematics of stochastic thermodynamics with generative AI will unlock a new paradigm of automated scientific discovery. — https://nitter.net/latentspacepod/status/2026716448626978955#m
→ View original post on X — @wellingmax, 2026-02-26 10:18 UTC
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Modern Prompting Techniques in 2026
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Most people are still writing prompts like it's 2023. "Be concise." "Think step by step." "You are an expert." The researchers who actually study this moved on. Structured scaffolds are what's in the internal docs now. Copy the format. Use it today. The gap between you and
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Structured Prompting for All LLMs
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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.
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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.