Antonio Montano ☼ (@antomon) 's Twitter Profile
Antonio Montano ☼

@antomon

Digital transformer

ID: 23199698

linkhttps://www.linkedin.com/in/montano/ calendar_today07-03-2009 15:04:58

40,40K Tweet

664 Takipçi

539 Takip Edilen

Florian Roth ⚡️ (@cyb3rops) 's Twitter Profile Photo

Rapid7 dropped a write-up on the Notepad++ update-chain abuse and - finally - it comes with real IOCs - update.exe downloaded from 95.179.213[.]0 after notepad++.exe -> GUP.exe - file hashes for update.exe / log.dll / BluetoothService.exe / conf.c / libtcc.dll - network IOCs

Rapid7 dropped a write-up on the Notepad++ update-chain abuse and - finally - it comes with real IOCs

- update.exe downloaded from 95.179.213[.]0 after notepad++.exe -> GUP.exe
- file hashes for update.exe / log.dll / BluetoothService.exe / conf.c / libtcc.dll
- network IOCs
Garrett Bingham (@gjb_ai) 's Twitter Profile Photo

Our new paper discusses the process of applying an AI math research agent built on top of Deep Think to unsolved Erdős problems. We identified 13 correct responses, 8 from existing literature and 5 representing novel autonomous solutions. arxiv.org/abs/2601.22401

Our new paper discusses the process of applying an AI math research agent built on top of Deep Think to unsolved Erdős problems. We identified 13 correct responses, 8 from existing literature and 5 representing novel autonomous solutions. arxiv.org/abs/2601.22401
Elad Hazan (@hazanprinceton) 's Twitter Profile Photo

Excited to share an extension to spectral filtering for the complex domain, including quantum dynamical systems, w. my former postdoc Annie M.: arxiv.org/abs/2601.22400

fly51fly (@fly51fly) 's Twitter Profile Photo

[LG] Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling M Feng, X Liu, W Yang, C Xu... [Microsoft Research] (2026) arxiv.org/abs/2601.22636

[LG] Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling
M Feng, X Liu, W Yang, C Xu... [Microsoft Research] (2026)
arxiv.org/abs/2601.22636
Ling Yang (@lingyang_pku) 's Twitter Profile Photo

🔥 Excited to share RLAnything (arxiv.org/abs/2602.02488): A fully dynamic RL framework that jointly forges Environment, Policy, and Reward Model through closed-loop optimization! 🧵 Let's talk about the problems first: ❌ Problem 1: Sparse Rewards Current RLVR relies on binary

Sumit (@_reachsumit) 's Twitter Profile Photo

Beyond RAG for Agent Memory: Retrieval by Decoupling and Aggregation Introduces a hierarchical memory framework that disentangles agent memory into semantic components and retrieves top-down, reducing redundancy while improving answer quality. 📝 arxiv.org/abs/2602.02007

Yoshua Bengio (@yoshua_bengio) 's Twitter Profile Photo

Today we’re releasing the International AI Safety Report 2026: the most comprehensive evidence-based assessment of AI capabilities, emerging risks, and safety measures to date. 🧵 (1/17)

David J. Gunkel (@david_gunkel) 's Twitter Profile Photo

Wrong question: The assumption that conversational language use can only be a sign of intelligence--i.e. that speech is predicated on an intelligent speaking subject--is the operating system of logocentric metaphysics. And it is deconstructed here: link.springer.com/article/10.100…

Wrong question: The assumption that conversational language use can only be a sign of intelligence--i.e. that speech is predicated on an intelligent speaking subject--is the operating system of logocentric metaphysics. And it is deconstructed here: link.springer.com/article/10.100…
Shir Ashury-Tahan (@shirashurytahan) 's Twitter Profile Photo

🧠 Why do LLMs fail? Sometimes the failure is what we expect - but often, it isn’t. Curious about overlooked but common LLM failures? Want to debug your recent fine-tuned model? Checkout our paper: arxiv.org/abs/2601.15812 #LLM #AI #NLP #MachineLearning #error_analysis

Garry Tan (@garrytan) 's Twitter Profile Photo

Moltbook is just the beginning. Social Media Is a Warzone. Where’s Your Armor? OSINT stands for Open Source Intelligence: the collection and analysis of info to produce actionable intelligence. Building your own OSINT defenses isn’t optional anymore. garryslist.org/posts/social-m…

Luiza Jarovsky (@luizajarovsky) 's Twitter Profile Photo

🚨 Hopefully, AI companies will give up on their highly anthropomorphic, emotionally manipulative AI chatbots and focus on science-oriented, specialized AI applications like this. A group of MIT researchers trained an AI model on 23,000+ material synthesis recipes described in

🚨 Hopefully, AI companies will give up on their highly anthropomorphic, emotionally manipulative AI chatbots and focus on science-oriented, specialized AI applications like this.

A group of MIT researchers trained an AI model on 23,000+ material synthesis recipes described in
Kexin Huang (@kexinhuang5) 's Twitter Profile Photo

Today we’re launching Phylo, a research lab studying agentic biology, backed by a $13.5M seed round co-led by a16z and Menlo Ventures / Anthology Fund Anthropic. We’re also introducing a research preview of Biomni Lab, the first Integrated Biology Environment (IBE), where

Machine Learning (@memoirs) 's Twitter Profile Photo

Parallel Stochastic Gradient-Based Planning for World Models Michael Psenka, Michael Rabbat, Aditi Krishnapriyan, Yann LeCun, Amir Bar arxiv.org/abs/2602.00475 [𝚌𝚜.𝙻𝙶 𝚌𝚜.𝚁𝙾]

Parallel Stochastic Gradient-Based Planning for World Models

Michael Psenka, Michael Rabbat, Aditi Krishnapriyan, Yann LeCun, Amir Bar
arxiv.org/abs/2602.00475 [𝚌𝚜.𝙻𝙶 𝚌𝚜.𝚁𝙾]
Techmeme (@techmeme) 's Twitter Profile Photo

AI agent social network Moltbook grew from 30,000 users on January 30 to 1.5M+ on February 2; researchers say many viral posts were likely scripted by humans (Hayden Field / The Verge) theverge.com/ai-artificial-… techmeme.com/260203/p25#a26… 📥 Send tips! techmeme.com/contact

Machine Learning (@memoirs) 's Twitter Profile Photo

Dispelling the Curse of Singularities in Neural Network Optimizations Hengjie Cao, Mengyi Chen, Yifeng Yang, Fang Dong, Ruijun Huang, Anrui Chen, Jixian Zhou, Mingzhi Dong, Yujiang Wang, Dongsheng Li, Wenyi Fang, Yuanyi Lin, … arxiv.org/abs/2602.01308 [𝚌𝚜.𝙻𝙶 𝚌𝚜.𝙰𝙸]

Dispelling the Curse of Singularities in Neural Network Optimizations

Hengjie Cao, Mengyi Chen, Yifeng Yang, Fang Dong, Ruijun Huang, Anrui Chen, Jixian Zhou, Mingzhi Dong, Yujiang Wang, Dongsheng Li, Wenyi Fang, Yuanyi Lin, …
arxiv.org/abs/2602.01308 [𝚌𝚜.𝙻𝙶 𝚌𝚜.𝙰𝙸]
fly51fly (@fly51fly) 's Twitter Profile Photo

[CL] Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability X Liang, Z Li, Z Lin, E H Jiang... [University of California, Los Angeles & Microsoft] (2026) arxiv.org/abs/2602.02477

[CL] Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability
X Liang, Z Li, Z Lin, E H Jiang... [University of California, Los Angeles & Microsoft] (2026)
arxiv.org/abs/2602.02477