Holy smokes! Opus 4.6 set a new record on the Remote Labor Index! At 4.17%. Anyone who claims that we are close to AGI is either lying or lost.
GENERATIVE AI
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Robotaxis and Edge Cases: Autonomous Driving Challenges
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1. you have no data afaik
2. this is actually not about FSD, but robotaxis
3. my whole point has been about edge cases since 1998; thank you affirming that i am still correct 🙂 -
OpenAI Announces AI Superapp Integrating Multiple Services
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OpenAI "AI Superapp" announced: OpenAI says the future is not a collection of AI tools, but a single AI superapp where ChatGPT, Codex, browsing, and other agentic systems work as one. Behind that product vision is a much bigger ambition: to turn consumer scale into enterprise
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LFM2.5-350M: Tiny Agentic AI Model Running in Browser
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This is an always-on model living in your browser.
— Maxime Labonne (@maximelabonne) 31 mars 2026
Sub-500 MB QA, data extraction, tool use 🪄 https://t.co/6ttaJBTxAcThis is an always-on model living in your browser. Sub-500 MB QA, data extraction, tool use 🪄 Xenova (@xenovacom) NEW: LiquidAI just released LFM2.5-350M, a tiny model that brings agentic AI and tool-calling capabilities to resource-constrained environments. 🤯 It can even run locally in your browser via WebGPU, serving as a powerful companion while you browse the web. Try the demo! 👇 — https://nitter.net/xenovacom/status/2039043406823833964#m
→ View original post on X — @maximelabonne, 2026-03-31 21:46 UTC
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H Company Releases Holo3, Outperforming GPT-5.4
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H Company released Holo3, a new series of SOTA "Computer Use" models that outperform GPT-5.4 and Opus 4.6 on OSWorld-Verified and other benchmarks.
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RF-DETR Real-Time Instance Segmentation Now Available on MLX
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RF-DETR by @roboflow now on MLX
— Prince Canuma (@Prince_Canuma) 31 mars 2026
It can do realtime instance segmentation on-device and enable some cool use cases for visual analysis, monitoring and robotics like Reachy Mini.
Also augmented VLM and VLA by preprocessing image and video with areas of interest.
New release… pic.twitter.com/Q4waKyAoofRF-DETR by @roboflow now on MLX It can do realtime instance segmentation on-device and enable some cool use cases for visual analysis, monitoring and robotics like Reachy Mini. Also augmented VLM and VLA by preprocessing image and video with areas of interest. New release coming soon on mlx-vlm 🚀 For those who can’t wait you can install mlx-vlm from source.
→ View original post on X — @learnopencv, 2026-03-31 21:19 UTC
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OpenAI Closes $122B Funding Round at $852B Valuation
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Today, we closed our latest funding round with $122 billion in committed capital at an $852B post-money valuation. The fastest way to expand AI’s benefits is to put useful intelligence in people’s hands early and let access compound globally. This funding gives us resources to lead at scale. openai.com/index/acceleratin…
→ View original post on X — @paulroetzer, 2026-03-31 20:59 UTC
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AI Optimization Drives Mediocrity: Strategies for Originality
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#AI Is Optimizing Us Into Mediocrity. Here’s How To Stay Original
by Vince Carrabba @Forbes Learn more: https://
bit.ly/4sxwSRK #ArtificialIntelligence #MachineLearning #ML #DL -
Reinforcement Learning Limitations on Fine-tuned Model Prompts
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No, RL doesn't fix it. It merely makes e smaller for prompts present in the fine-tuning set.
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LLMs and Code Generation Systems: Clarifying Autoregressive Architecture
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1. I never said LLMs were not useful 2. Code generation systems are not strictly auto-regressive LLMs. They produce multiple outputs and pick the best ones. 3. Your argument is as if I said "perpetual motion is impossible" and you responded "meanwhile, it's been 300km since I