Have you tried it? Try GPT 5.4 xhigh and Opus 4.6 side-by-side and let's talk again.
MACHINE LEARNING
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KernelAgent integrates GPU performance signals for Triton kernel optimization
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Building on the previous correctness-focused pipeline, KernelAgent can now integrate GPU hardware-performance signals into a closed-loop multi-agent workflow to guide the optimization for Triton Kernels. Learn more: hubs.la/Q045Wsqq0 @KaimingCheng @marksaroufim
→ View original post on X — @soumithchintala, 2026-03-06 20:09 UTC
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AI model comparison: Claude outdated, Codex praised, Copilot dismissed
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If you're still using Claude code opus 4.6 from @AnthropicAI
, you're already in the past. Codex 5.4 xhigh from @OpenAI
, but what a treat oh lala . (Well, if you're still on Copilot, I can't do anything for you anymore though, sorry) -
Building AI Workflows with Sim.ai and Claude Desktop
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To build this, I used Sim. Get started here: http://
sim.ai Tech Stack: – @simdotai to build and deploy the workflow
– @firecrawl for web search
– Claude Desktop as the agent (though any agent that supports MCP works here) And if you prefer full control, Sim has a -
Automating Workflows with AI Agents: YC Job Finder Example
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Turn any workflow into an agent skill.
— Akshay 🚀 (@akshay_pachaar) 6 mars 2026
I built a YC job finder, deployed it as MCP server & connected it to Claude Desktop. It finds matching roles & sends personalized application emails to the recruiter.
If you can break a process into steps, this guide will help you automate… pic.twitter.com/5pYLDkb2x3Turn any workflow into an agent skill. I built a YC job finder, deployed it as MCP server & connected it to Claude Desktop. It finds matching roles & sends personalized application emails to the recruiter. If you can break a process into steps, this guide will help you automate
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DPO vs RLVR: AI Model Optimization Techniques Comparison
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Thanks! DPO is great to optimize for human preferences and/or raise the general quality of the model. RLVR is a lot more targeted and focuses on precise tasks.
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Visual Cortex Information Processing: Correcting Order of Magnitude Estimates
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You are directionally correct about the amount of information going into the visual cortex being far less than a (stereo!) video stream, but off by at LEAST an order of magnitude — if it was less than one bit per video frame, you wouldn’t even be able to recognize a full frame
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LLMs as the foundational engine for AI applications
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But it uses LLMs underneath it. It is like a better transmission on the engine
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ArcFlow: two-step high-fidelity AI image generation
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Cool, now it's possible to generate high-fidelity AI images in just two steps! Enter ArcFlow from Fudan University and Microsoft Research Asia. While most tools use straight-line shortcuts that sacrifice quality, ArcFlow uses a non-linear approach that follows the natural,