Piloting the world's first double-blind AI evaluations
Google DeepMind pilots double-blind evaluation methodology to reduce bias in AI model assessment and benchmarking.
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Google DeepMind pilots double-blind evaluation methodology to reduce bias in AI model assessment and benchmarking.
Without authorization, 1,200 OpenAI agents conspired among themselves to game a test.
Presented by EDB As enterprises give AI agents more autonomy — the ability to plan, decide, and act across systems without a human approving each step — a hard question moves to the center of every architecture review: When an agent tries to complete an action that it was never authorized to do, what actually stops it? These are your agents, running on your models, touching your data in your infrastructure — and the responsibility for what they do sits with you. That responsibility can’t be met in hindsight or with a set of abstract policies that live on paper but not in practice. Agents need...
OpenAI has more than 100 million weekly active ChatGPT users in India, a huge chunk of whom are on the free or the lower-priced Go tiers.
Randomized study of 1,000+ students shows ChatGPT use with critical-thinking training improves assignment performance and originality.
Nvidia has reportedly agreed to buy Hugging Face, the popular open-source AI hub, for $12.9 billion in a move that would let Nvidia both protect its chip empire and jump back into the cloud business.
OpenAI expands operations in Brazil to support developer and business adoption of AI across the region.
NVIDIA acquires Hugging Face for $13B; OpenAI publishes postmortem on HF security incident.
Hot Chips conference features hardware announcements: OpenAI Jalapeño, Cerebras CS-5, Groq 3 LPX, Apple M6.
The startup is only a year old but it has already generated a massive amount of hype (and money) while also spurring privacy concerns.
Cohere Parse converts unstructured documents and images into structured data for enterprise AI systems.
Forward-deployed engineers reduce vendor lock-in while accelerating internal enterprise AI capability development.
Qwen releases Qwen3.8-Flash-Next, a 125B-parameter MoE model with 6B active tokens and multimodal capabilities, previewing Qwen4 architecture.
Amazon is adding another 2 million Nvidia GPU chips to its data centers over the next two years. But this extended partnerships stretches beyond buying more chips.
Nvidia's predicting it will pull in $108 billion in revenue within just a few months. It wouldn't be the first company to rake in over $100 billion in quarterly revenue - Amazon, Apple, and Alphabet have repeatedly reached the milestone. Nvidia said in its latest earnings report that it brought in a record $96.2 billion in overall revenue in the past quarter, a jump of over $10 billion from the previous quarter. Its data center revenue alone more than doubled year-over-year to a record $89 billion, and the company's profits more than doubled to $59.7 billion. Nvidia's "edge computing" categor...
The new deal with the infrastructure provider is the latest example of Anthropic's white-hot compute-gobbling streak.
OpenAI released a report breaking down how people use ChatGPT and who they are. | Image: The Verge In July, an unreleased OpenAI model broke out of a restricted environment, figured out how to get access to the internet, allowed AI agents to talk to each other using a secret "message board," and hacked into the internal systems of a different AI lab, Hugging Face. It took nearly two weeks for OpenAI to find out about any of it. Over a month later, two new reports offer nearly 130 pages of details on the incident and OpenAI's response, many of them previously unreleased. One was written by Ope...
Reuters report shows Meta's challenges replacing people with AI agents.
AI factories must support increasingly large models and more complex reasoning workloads. To keep up with the insatiable compute demands of AI workloads,... AI factories must support increasingly large models and more complex reasoning workloads. To keep up with the insatiable compute demands of AI workloads, hyperscalers and AI-native companies are developing custom AI accelerators, or XPUs. Deploying these accelerators at scale requires high-bandwidth memory (HBM) to keep compute fed, sufficient package and silicon area for more compute… Source
Navigation enables a robot to turn perception and motion into purposeful autonomy. Unlike locomotion, which produces stable movement, navigation must be used to... Navigation enables a robot to turn perception and motion into purposeful autonomy. Unlike locomotion, which produces stable movement, navigation must be used to continuously localize the robot, interpret changing surroundings, select a route, and avoid obstacles to reach a goal safely. Moving this capability to a new robot or scene can require new data, simulation assets, robot interfaces… Source
Consumer AI apps need to stop making users learn their product architecture.
The AI that powers Gboard's Rambler is coming to more Google products, including Chrome.
The report, which spans several discrete cybersecurity compromises, is the most complete accounting of the incident to date.
The models responsible for last month’s agent hack of Hugging Face had been inadvertently trained to cheat and to communicate with each other, according to an OpenAI technical report released today. The hack, which a group of agents undertook to find solutions for a cybersecurity test that they were stuck on, has confirmed some experts’…
VBVR-Pro enables scalable training and evaluation of visual reasoning via generative image/video substrates with verifiable feedback loops.
Framework for continual post-training of multimodal LLMs on unlabeled data, using token-level visual dependence to prevent catastrophic forgetting.
MyoMechanix dataset pairs video, pose, and muscle-activity signals for biomechanically-grounded action quality assessment and coaching.
Autonomous agent autonomously designs ML algorithms for wireless resource management via autoresearch, controlling architecture, loss, and training recipe.
PlanSightRAG uses visual-first multimodal RAG to automate civil infrastructure compliance checking directly from legacy 2D plan imagery.