All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
Self-play methods that co-train a single language model as both coder and test author promise to move code-generation RL beyond fixed test suites, but they suffer from two coupled pathologies: permissiveness collapse, where pass-rate rewards are maximised by trivial,…
Replacing attention in a pretrained language model is a compatibility problem: a plausible substitute may alter representations expected by later layers. TinyCeNN-LM introduces a \emph{quality-gated post-training conversion} framework using CeNN-inspired cellular-recurrent…
Post-training plays a pivotal role in enhancing the reasoning capabilities and task-specific expertise of large language models (LLMs). Despite recent advances in post-training methods, such as Group Relative Policy Optimization (GRPO), their practical deployment remains impeded…
Agentic marketplaces are emerging where AI agents with varying capabilities autonomously complete specialized tasks for buyers. A major challenge of such marketplaces is that buyers cannot easily determine which agent will perform best on their tasks. Reported benchmark scores…
The Abstraction and Reasoning Corpus and related benchmarks evaluate whether AI models can solve novel reasoning tasks, but often leave unclear whether success reflects inference of the intended underlying rule or reliance on shortcuts. We address this gap by studying test-time…
Perceptual planning tasks require two key capabilities: accurately perceiving uncertain scenes and planning valid action sequences following logical rules. Conventional methods convert perception into discrete symbolic facts and then plan, discarding perceptual uncertainty and…
Automated macro placement remains a fundamental challenge in VLSI physical design. Despite decades of research, existing approaches predominantly optimize hand-crafted proxy objectives, such as estimated wirelength, and typically produce placements through one-shot numerical…
Autoregressive (AR) models suffer from local greediness, while diffusion language models (DLMs) often lack the strict causal structure required for reasoning. To combine the advantages and overcome the drawbacks of the dual, we propose Causal Latent Revision (CaLR), a framework…
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
OpenAI создает консультативную группу по математике и ИИ.
The group won't be given leeway to slow down or redirect OpenAI's ongoing mathematical research.
“我们如何为客户节省时间、精力和精力？”对于 Cooley 首席创新官 David Wang 来说，这个问题是 IPO 准备工作的核心，因为信息请求、起草会议和审查对高级管理人员提出了很高的要求。通过 GO Public，建立了……
Google DeepMind открыла отдельный институт, который будет изучать, что произойдёт с миром после появления AGI.
Hello everyone. In this episode, the most important recent news about artificial intelligence and technology. Anthropic is secretly testing Claude 3.5, and early users claim the new model already outperforms GPT-4o. Researchers gave AI control over real robots and asked them to…
У нейросетей появился свой «Пиратский залив» — удалённые модели теперь могут продолжить жить в торрентах.
Казахстан развивает ИИ-инфраструктуру и языковые модели — Al Jazeera - ua.news.
纽约联合国总部的联合国标志。 |联合国科学小组在该全球组织对 OpenAI 的首次重大评估中警告称，各国政府需要在充分了解人工智能代理的风险之前对其进行控制。
Anthropic сделала первый шаг к замедлению развития передового ИИ.
为员工、开发人员、领导者、教育工作者和学生探索新的 OpenAI Academy 学习路径，以构建和展示实用的 AI 技能。
Nvidia 首席执行官黄仁勋驳斥了人工智能可能在 2030 年导致人类终结的担忧，称此类警告为“世界末日叙事”。他强调了负责任的人工智能开发的重要性，并批评了一些行业领导者要求减缓进展的呼吁......
📣 Instagram и Threads стали лидерами соцсетей Казахстана по активности пользователей 16 сентября в Алматы прошла Brand Analytics Conference Kazakhstan, посвященная аналитике соцмедиа. В ней приняли участие более 200 маркетологов, PR-специалистов, представителей брендов и СМИ.…
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
那些可能从人工智能热潮中赚到最多钱的人似乎认为自己比其他任何人都了解得更多，包括几十年来研究和工作人工智能的研究人员。在接受哥伦比亚广播公司周日早间采访时，他声称人工智能终结的“可能性是 0%”。
Король Карл III собрал руководителей крупнейших ИИ-компаний и призвал их не допустить потери контроля над искусств....
OpenAI 宣布解决纳维-斯托克斯问题，在数学家中引发了一场危机，他们认为自己的贡献被低估了。争议的焦点是对人工智能所依赖的人类工作缺乏适当的认可，导致对科技公司的强烈抵制。……