arXiv:2509.24882v3 Announce Type: replace-cross Abstract: Neural scaling laws underlie many of the recent advances in deep learning, yet their theoretical understanding remains largely confined to linear…
arXiv:2607.28609v2 Announce Type: replace Abstract: Computer-using agents (CUAs) are advancing rapidly across the digital world. A CUA trajectory records the agent's actions, states, and reasoning. Verifying…
OpenAI HR told Leopold that a major reason for his firing was the memo he'd sent the board warning how broken OAI's security was.What happened next…
RT Special Providence Poster (GDP Stan)Anyone who claims China controls Iran can be safely ignored. In the 2010s, Iran repeatedly declined China’s offers for arm sales…
Liquid AI released LFM2.5-2.6B, an agentic model that plans, calls tools, and completes multi-step tasks entirely on-device. The 2.69B parameter model pairs 22 double-gated short convolution…
RT Zixuan Li👀I do know what ZCode is, and the stats show just how well it performs.dax: we've seen more deepseek traffic than anyone over the…
We analyzed DeepSeek-V4 Flash-0731 vs. GPT-5.6 Luna on software engineering tasks using DeepSWE.DeepSeek-V4 Flash-0731 delivers 80% of Luna’s performance at roughly 1/6 the cost.More insights in…
google facing yet another "innovator's dilemma" or some shi smh lgtb ig submitted by /u/combo-user [link] [comments]
I swear AA is not the bipartisan they so claim. An open source mode (Qwen 3.8 max) was number 1 on the agentic index, then they…
Training large language model agents for long-horizon tool use typically relies on interactions with real or synthesized executable environments, whose construction and verification are costly, or…
Understanding 3D scenes is fundamental to embodied intelligence, requiring joint reasoning over heterogeneous information from multiple modalities, including visual and geometric cues. However, the relevance of…
Training terminal agents requires executable and verifiable tasks that are not merely solvable, but appropriately challenging for learning. Executable validation establishes feasibility, yet does not reveal…
Reinforcement learning (RL) with verifiable rewards constructs trajectory-level advantage estimates, yet it often fails to credit the few pivotal decisions that determine outcomes in long-horizon, multi-turn…
Generating large-scale, freely explorable 3D worlds from open-ended text remains challenging because a system must jointly maintain global spatial coherence, rich local content, and explicit assets…
Spatial intelligence is fundamental to embodied agents, yet existing benchmarks focus on local spatial perception from single or few viewpoints, overlooking global spatial awareness over continuous,…
I'm considering replacing a single RTX 3090 with two ASRock AMD Pro R9700s for about $2900 new out of the door. That would move me from…
Important: how do frontier labs monitor their agentic evals, because OpenAI’s agents were rummaging around doing things they shouldn’t for months leading up to hacking HuggingFace.…
Code and instructions available here: https://github.com/albertoZurini/echo-dot-2-playground Hello there! After a few days of experimenting I was able to get a completely local voice pipeline running on…
RT Imperial Standard"RETVRN to Classics" rightoids do not understand what they desire and can only express in vibes of the kind of culture they want to…
【PyCon JP 出展 ＆ Sakana AI Dineer Meetup開催】Sakana AIはPyCon JP 2026のスポンサーとして協賛し、ブースを出展します🐡当日はSakana AIの最新の取り組みをご紹介するほか、特別企画として8/22（土） 19時からDineer Meetupも開催いたします！ブースへの立ち寄り、Meetupへのご参加を心よりお待ちしております🚀Meetupの詳細は下記リンクをご覧ください。https://forms.gle/eMJEdzeLqgtLZq51A#pyconjp2026
Basically every remaining good AI benchmark score has an implied asterisk next to it which reads:* could be signficantly higher with a better harness.
RT Nathan LambertMany people are sharing this Black Hat video from OpenAI, it's really a great video. Something immediate is how I can see how the…
"Felony humble-bragging" is a great lineSharon Goldman: At final Black Hat keynote (called a locknote, ha ha) panelists say they are surprised at how the OpenAI…
On-Policy Distillation (OPD) is emerging as a promising alternative to reinforcement learning for LLM post-training, yet its effectiveness in multilingual settings remains underexplored. We study OPD…