#ArtificialIntelligence Engineering Roadmap
— Ronald van Loon (@Ronald_vanLoon) 9 avril 2026
by @e_opore
#AI #MachineLearning #MI #ML pic.twitter.com/HrUrtSJEfL
#ArtificialIntelligence Engineering Roadmap by @e_opore #AI #MachineLearning #MI #ML
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#ArtificialIntelligence Engineering Roadmap
— Ronald van Loon (@Ronald_vanLoon) 9 avril 2026
by @e_opore
#AI #MachineLearning #MI #ML pic.twitter.com/HrUrtSJEfL
#ArtificialIntelligence Engineering Roadmap by @e_opore #AI #MachineLearning #MI #ML
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RAGEN-2: Reasoning Collapse in Agentic RL
— 机器之心 JIQIZHIXIN (@jiqizhixin) 9 avril 2026
Paper: https://t.co/w4mCiZzCOp
Project: https://t.co/LFS5PpioMF
Code: https://t.co/f5bO13kGrn pic.twitter.com/dMzR3eZMwc
RAGEN-2: Reasoning Collapse in Agentic RL Paper: huggingface.co/papers/2604.0… Project: ragen-ai.github.io/v2/ Code: github.com/mll-lab-nu/RAGEN
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Are your LLM agents truly reasoning, or just stuck repeating the same patterns?
— 机器之心 JIQIZHIXIN (@jiqizhixin) 9 avril 2026
Zihan Wang @wzenus and a stellar team from Northwestern, Stanford, Microsoft, Oxford, and Imperial College London have uncovered "template collapse", a hidden flaw where LLM agents appear diverse… pic.twitter.com/0XRXFuc7rx
Are your LLM agents truly reasoning, or just stuck repeating the same patterns? Zihan Wang @wzenus and a stellar team from Northwestern, Stanford, Microsoft, Oxford, and Imperial College London have uncovered "template collapse", a hidden flaw where LLM agents appear diverse but fail to adapt to new inputs. Their RAGEN-2 framework introduces Mutual Information to accurately measure true "cross-input distinguishability" and proposes SNR-Aware Filtering to select high-signal training prompts. This new metric and method vastly outperform current approaches, boosting LLM agent performance and input dependence across critical tasks like planning, math reasoning, web navigation, and code execution! And this paper is also #1 Paper of the day on Hugging Face!

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Other 5 Erdos problems more solved using an internal model of OpenAI. It adds up and keeps going.

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Yes! You should listen to the recording of the space we did earlier with @NousResearch
’s CTO.
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I continue adding more 𝐅𝐑𝐄𝐄 resources for my @X Subscribers to access: 𝗼𝘃𝗲𝗿 𝟰𝟴𝟬𝟬 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗮𝗿𝗲 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲. Subscribe for only US$6/month #MachineLearning #ML #AI #DataScience #Python #Mathematics #Statistics #SQL #GenAI #AgenticAI
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Your response to her incredible well formed and well informed analysis is basically “you’re wrong because Anthropic said so and they know better,” while calling HER naive
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I’ve solved AI, but I’m keeping it secret to save humanity.
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Congratulations to BAIR Faculty @matei_zaharia who has been awarded the 2025 ACM Prize in Computing "for his visionary development of distributed data systems and computing infrastructure, which has enabled large-scale machine learning, analytics, and AI at global scale."
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GLM 5.1 TOPS THE OPEN SOURCE LEADERBOARD 🚀🚀
— Bindu Reddy (@bindureddy) 9 avril 2026
GLM 5.1 is the new open source leader and is comparable to closed source models like Opus and GPT 5.4
Open source is catching up to closed source every day and GLM 5.1 performs really well on both the coding and the agentic… pic.twitter.com/9TSKSNs8Vp
GLM 5.1 TOPS THE OPEN SOURCE LEADERBOARD 🚀🚀 GLM 5.1 is the new open source leader and is comparable to closed source models like Opus and GPT 5.4 Open source is catching up to closed source every day and GLM 5.1 performs really well on both the coding and the agentic benchmark An excellent option for coding agents and open claw!