i just kicked off my Senior Engineer bench on Codex's /goal feature. we'll see how well it compares to a senior engineer rewriting a slop codebase. current high score on this benchmark is 66/100 achieved by GPT-5.5 with an Opus 4.6 plan—but with an agent baby sitter to make
MACHINE LEARNING
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LLM vs RAG vs AI Agent vs MCP Explained
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#LLM vs. RAG vs. #AIAgent vs. MCP
by @Python_Dv #GenerativeAI #ArtificialIntelligence #MachineLearning #ML -
Teen Collects 14,000 Hours of Factory Worker Data via Smart Glasses
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I met an 18 year old who got 14,000 hours of factory workers data by getting them to wear glasses with cameras. And I know he isn't alone. We'll be hearing about much more of this in the future.
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Menteebot Unveiled: Mentee Robotics’ Agile Humanoid Automation Vision
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Menteebot Unveiled: Mentee #Robotics’ Vision for Agile Humanoid #Automation
— Ronald van Loon (@Ronald_vanLoon) 1 mai 2026
by @MenteeBot#Robotics #MachineLearning #ArtificialIntelligence #ML pic.twitter.com/tdkrsIewcFMenteebot Unveiled: Mentee #Robotics’ Vision for Agile Humanoid #Automation
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AI Costs Now Exceed Human Worker Expenses
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#AI can cost more than human workers now
by Madison Mills @axios Learn more: https://
bit.ly/4cRxlI4 #MachineLearning #ArtificialIntelligence #ML -
Scaling AI Evolution: From Symbolic Logic to Autonomous Agents
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Scaling Ascent Peak: The Seven Summits of Artificial Intelligence In my latest article, I chart the evolution of AI—from the early days of symbolic logic to today’s autonomous agents, and what lies beyond. This journey is more than a history lesson: it’s a strategic framework
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Why Looped Transformers Excel at Multi-Step Reasoning
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Researchers just figured out why looped transformers are so powerful. Most language models store huge amounts of knowledge but fail to combine facts in a single pass. Ask one a 10-step reasoning question and it breaks. A new paper explores looped transformers, an architecture
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Open Source AI Models and the Secret of Knowledge Distillation
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Some "open source" AI models have a secret. They were trained using outputs from closed models like ChatGPT and Claude. The weights are free. The code is public. Anyone can run them.
But the intelligence inside came from somewhere else. This technique is called distillation.
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Open-source dataset released for training maritime object detection models
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Il suffit de demander . Je viens de mettre le dataset en opendata sur @huggingface avec 2000 bateaux annotés que j’ai utilisé pour entraîner mon modèle. (Il y en a en Méditerranée et dans le détroit d’Ormuz comme j'ai expliqué dans la vidéo) Have fun !
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YC Bench: AI Agent CEO Simulation Benchmark for Startups
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YC Bench by @CollinearAI
: Benchmark for Agents who play CEO of an AI startup for 1 simulated year via CLI tool use against a deterministic discrete-event simulation. Score = final $$ amount achieved by @nazneenrajani and team Also a good opportunity to showcase this recent hf