OpenAI's first “AI intern” expected by September and a full system targeted for 2028. Powered by advances in reasoning models and agent systems like Codex, these tools already show dramatic productivity gains, solving problems in days instead of weeks, but still face
AGENTS
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Document Processing Now Built Into Coding Agents
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Super cool to have document processing built right into coding agents. Will try it!
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Limited-Time Offer: Gift Replit Agent Core for Free Months
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for a limited time, get 1 month free (or $20 in credits) simply gift a friend a month of Replit Agent 4: – they get 1 month of Core free & you get 1 month free don’t miss out
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AI Accelerates Mathematical and Scientific Discovery with Gemini DeepThink
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And before that 6 other math research papers by #Aletheia and other discoveries in physics and computer science, all of which were powered by Gemini #DeepThink! nitter.net/lmthang/status/2021631… Thang Luong (@lmthang) 6 months in, after the IMO-gold achievement, I’m very excited to share another important milestone: AI can help accelerate knowledge discovery in mathematics, physics, and computer science! We’re sharing Two new papers from @GoogleDeepMind and @GoogleResearch that explore how Gemini #DeepThink together with agentic workflows can empower mathematicians and scientists to tackle professional research problems. Some highlights: The first paper built a research agent #Aletheia, powered by an advanced version of Gemini Deep Think, that can autonomously produce publishable math research and crack open Erdős problems. The second paper, built on similar agentic reasoning ideas, helped resolve bottlenecks in 18 research problems, across algorithms, ML and combinatorial optimization, information theory and economics. See the thread for details about the two papers and the joint blog post. — https://nitter.net/lmthang/status/2021631397614731563#m
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Aletheia solves 7th FirstProof problem at publishable research level
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Tackling FirstProof was our 7th math research paper, which was done autonomously and the solution to problem #7 is at Level 2 "Publishable Research" as well. nitter.net/lmthang/status/2026689… Thang Luong (@lmthang) Thrilled to share: #Aletheia, our math research agent, just solved 6/10 notoriously hard FirstProof problems autonomously, the best result in the inaugural challenge! To me, this is even bigger than our historic IMO-gold achievement last year; these problems challenge even top mathematicians. We share our results transparently, see paper and full thoughts in the thread. 👇 — https://nitter.net/lmthang/status/2026689272456294850#m
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Revolutionary Setup Change for Better Coding Agents
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Most people are using coding agents completely wrong. There's a simple setup change that makes them dramatically better. And once you switch to it, you'll never go back. Here's the full breakdown + the starter prompt to copy. Trust me, you NEED to try this. Matt Shumer (@mattshumer_) x.com/i/article/203505392109… — https://nitter.net/mattshumer_/status/2035058834117419036#m
→ View original post on X — @mattshumer_, 2026-03-20 18:21 UTC
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REDSearcher: Novel Framework for Advanced LLM Search Agents
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Tired of LLMs getting lost on deep, complex search tasks, and costing a fortune doing it? The REDSearcher Team presents a novel framework designed to make LLMs elite long-horizon search agents. It cleverly generates high-quality, complex search tasks, actively trains models to
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AI Agents: Unpredictable Production Behavior and New Testing Challenges
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AI agents introduce a new production challenge: you simply don’t know what your agent will do until it’s in production. They interpret open-ended language, behave differently based on subtle shifts in phrasing, and take multi-step actions that are hard to predict in development
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Aletheia AI Solves Problem Without Hints from HAI Card
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You can take a look at the HAI card and the transcript. The author specified only the original problem, no hint was given to Aletheia.
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Aletheia AI Powers 8 Math Research Papers, Solves Hodge Bundle Problem
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Update: #Aletheia has now powered 8 math research papers! 📈 Our most recent success, “The Simplicity of the Hodge Bundle,” was solved fully autonomously. It’s at Level 2 “Publishable research” per our categorization. More in thread! Tony Feng (@tonylfeng) A few months ago I bumped into Anand Patel, who had been my algebraic geometry TA in college, visiting Google DeepMind. He agreed to try out an agent I was building called Aletheia. Fast forward: Anand prompted Aletheia to solve a problem about simplicity of the Hodge bundle on M_g that had been floating around (a part of) the algebraic geometry community for at least ten years. Check out his paper at arxiv.org/pdf/2603.19052 — https://nitter.net/tonylfeng/status/2035003908993819019#m