the amount of alpha you can have right now creating good public AI benchmarks is wild, such a big opportunity
MACHINE LEARNING
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OpenAI: New Memory Architecture with Automatic “Dreaming” for Context Synthesis
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OpenAI’s new memory architecture moves beyond “saved notes” to an automatic dreaming layer that quietly synthesizes context across many chats. It optimizes for 3 things that actually matter in real work: Carrying forward useful context over time Following your preferences and
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Flow-OPD distills specialized teachers into one student model
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What if your text-to-image model could master every task without trade-offs? Researchers from USTC, UCLA, CUHK, and Xiaohongshu present Flow-OPD. They distill specialized teachers into one student via on-policy learning, plus a regularizer to protect image quality. Result:
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Local models on phone using borrowed MacBook compute for free
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This is the FUTURE.
— Shubham Saboo (@Saboo_Shubham_) 5 juin 2026
Local models running on your phone with borrowed compute from your MacBook.
100% free and works with all Open Source models. pic.twitter.com/bhtzdlbQezThis is the FUTURE. Local models running on your phone with borrowed compute from your MacBook. 100% free and works with all Open Source models.
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How Executives View AI in 2026: Key Perspectives
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How Executives Are Thinking About AI in 2026
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @HaroldSinnott @fogoros @iainljbrown @NandoDF @katecrawford @drhassanrashidi @YuHelenYu -
NVIDIA Cosmos 3 launch: download models on HuggingFace and GitHub
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Get started with Cosmos 3: Download Models on @huggingface → https://
huggingface.co/collections/nv
idia/cosmos3
… Customize Models on GitHub → https://
github.com/nvidia/Cosmos -
Cosmos 3: NVIDIA’s open world foundation model for physical AI
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Physical AI needs to understand the world before it can act in it.
— NVIDIA (@nvidia) 4 juin 2026
Introducing Cosmos 3, the open world foundation model and the first omni-model for physical AI.
It understands and generates across text, image, video, sound and action – thanks to a new breakthrough… https://t.co/K5RyHTY7gWPhysical AI needs to understand the world before it can act in it. Introducing Cosmos 3, the open world foundation model and the first omni-model for physical AI. It understands and generates across text, image, video, sound and action – thanks to a new breakthrough
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Gary Marcus claims vindication for neurosymbolic AI in LLMs like Code Interpreter
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did you actually read the paper? or just the title? i said you would need neurosymbolic AI to supplement deep learning – and that is exactly what happened with code interpreter, claude code etc. so i was correct!
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Brex’s $2,000 monthly AI allowance exceeds Uber’s $1,500 per tool
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More generous allowance than Uber then, Brex are allowing $2,000/month, Uber was $1,500 (Though Uber's caps are per-tool and we don't know how many tools they support, if they allow Cursor and Copilot and Claude Code and Codex that's $6,000/month for engineers who use them all)
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Gary Marcus: Claude code builds tools, creating a neurosymbolic system.
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the system as whole uses symbols (eg in the tools); claude code builds those tools in that’s exactly what it means to be a neurosymbolic system, to use symbols tools in addition to neural networks.