It is a good time for moonshots. AI has reached a level where there are transformative projects that could result in huge social good, but require public R&D, consensus & transparency to pull off. Examples: universal tutors, co-scientist/replication systems, remote medical help.
RESEARCH
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Deleted tweet: API users misunderstand frontier model power in native harnesses
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Deleted a tweet on the fact that API users don't understand how much more powerful the frontier models are in native harnesses since I didn't differentiate in the post (limited characters!) between folks carefully evaluating other harnesses for tasks & those just using naked API.
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W-Flow: Single-step image generation via Wasserstein gradient flow
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What if you could generate high-quality images in one step instead of hundreds? Stanford and ByteDance introduce W-Flow: a single-step generator that turns random noise into target data by following a Wasserstein gradient flow. It compresses a full diffusion-like evolution into
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LEANN: Index millions with 97% less storage via graph recomputation
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Turn your laptop into a powerful RAG system! LEANN can index and search through millions of documents while using 97% less storage than traditional solutions without accuracy loss. LEANN achieves this through graph-based selective recomputation with high-degree preserving
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Official launch of Sakana Marlin, autonomous Ultra Deep Research agent
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I am proud to officially launch Sakana Marlin, our first commercial product: an autonomous "Ultra Deep Research" agent designed to act as a virtual CSO. Try Marlin:
https://
sakana.ai/marlin
Blog:
https://
sakana.ai/marlin-release
/#English
… Marlin is not just another -

Sakana Marlin Launch: Virtual CSO Autonomous Research Assistant
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Today, we are launching our first commercial product: Sakana Marlin, Your Virtual CSO. Marlin is an autonomous research assistant for business, built around hours of long-horizon reasoning. Try Marlin: https://
sakana.ai/marlin
Blog: https://
sakana.ai/marlin-release
/#English
… You provide a research -

Gradient Adversarial Moving Sample Method for Scientific Machine Learning PDEs
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Gradient Adversarial Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equation! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #Mathematics #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang
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Sequence Classification with Keras
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Sequence Classification with #Keras. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #PyTorch #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Sequence-Keras -
Living brain cells play DOOM in neuromorphic computing breakthrough
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Living Brain Cells Play DOOM: Cortical Labs Pushes Neuromorphic Computing Forward
— Ronald van Loon (@Ronald_vanLoon) 15 juin 2026
by @IntEngineering#Innovation #EmergingTech #Technology #Tech pic.twitter.com/n686AvoVhPLiving Brain Cells Play DOOM: Cortical Labs Pushes Neuromorphic Computing Forward
by @IntEngineering #Innovation #EmergingTech #Technology #Tech -
Exclusive access to best model drives Anthropic valuation
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ah, got it. Possibly. On the one hand, certainly due to the lack of compute, but on the other hand, also because they can achieve incredible returns with it. Exclusive access to the best model in the world sells exceptionally well and increases Anthropic's pre-IPO valuation.