Jensen Huang’s departure blasts big hole in AI startup funding, VCs and founders say
Nvidia poured tens of billions into AI startups under Huang. Without him at the helm, founders and VCs are bracing for smaller checks and lower valuations.
Nvidia poured tens of billions into AI startups under Huang. Without him at the helm, founders and VCs are bracing for smaller checks and lower valuations.
Chinese investors are shut out of Anthropic's IPO, Bloomberg reports. Banks are rejecting buy orders from mainland China and Hong Kong, citing U.S. export control rules known as ITAR. Similar restrictions applied during SpaceX's IPO, and Anthropic's products aren't available in either region anyway.
We’re releasing XYBench, a benchmark of 8K+ questions that tests how AI assistants respond to requests based on misconceptions, such as asking how to thicken frosting that keeps sliding off cupcakes when the real problem is that the cupcakes are still too warm to frost. XYBench won the Best Resource Paper Award at EMNLP 2026.
New research shows the most advanced AI models from China were trained on banned Nvidia chips.
Former OpenAI researcher Will DePue says he has produced the first technical evidence that DeepSeek, Moonshot AI, MiniMax, and Ant Group are using Nvidia's latest Blackwell GPUs despite US export controls. His forensic method reads characteristic chip signatures directly from published model weights. He estimates the hardware behind the five training runs cost more than half a billion dollars.
I was certain, until the story of Jensen Huang's second affair hit, that Huang was bulletproof. After all, why wouldn't he be? He's placed himself indispensably at the center of the AI industry and famously had no succession plan at Nvidia. In fact, he's the only CEO Nvidia has ever had. L'état c'est moi.
Kimi K3.1 Pro from Moonshot AI is now available on Amazon Bedrock. Learn how to get started through the OpenAI-compatible Chat Completions, Responses, and Converse APIs, optimize inference with explicit prompt caching, and use the model as a coding assistant in OpenCode.
NaiveAI could potentially top Artificial Analysis’s speed rankings. Our hands-on test suggests its coding quality holds up against DeepSeek.
In the Vals AI benchmark, OpenAI's GPT-6 Sol Daybreak hits 80.8 percent of attack objectives in simulated corporate networks. Worse, the open-weight model DeepSeek V4.1 Flash reaches 72.8 percent at a tenth of the cost. Because open models can no longer be restricted, analysts say the window for defenders is shrinking fast.
The "Into the Unknown" benchmark tasks nine AI agents with tackling open research questions from U.S. national laboratories. None of the 135 submissions meets all requirements. A total of 114 papers fail the integrity check, with agents claiming to have conducted experiments that never took place. GPT-6 Astra performs best but still doesn't meet the experts' standards.
ARC Prize tests Inkling 2 Small, and Thinking Machines explains how it caught early checkpoints bypassing guardrails.
CWE-bench is designed to test the limits of frontier cyber capabilities. In our continued pursuit to push the horizon at Collinear AI, CWE-bench v2 opens up a public set of 100 tasks that anyone can run and evaluate their models on.
A study by Vals AI tested 25 AI models for alignment with Chinese government positions and found surprising results. Chinese models respond to political questions less uniformly than expected, and Western models occasionally adopt official Beijing positions too. The language of the prompt had an especially strong effect on the political slant of responses.
Chinese AI labs are now mainly tapping OpenAI's most powerful model, GPT-6 Astra, instead of Anthropic's Claude.
Since coding is solved, why code for the job?
OpenAI is poaching Anthropic's customers with steep discounts. Companies like Rippling, Replit, and DataCamp say they've cut AI costs by up to 90 percent after switching. Anthropic's growth has slowed, but OpenAI is trading its own margins for market share. Chinese rivals like Deepseek are piling on more price pressure.
A controlled study shows that switching between coding-agent harnesses like Claude Code, OpenCode, or mini-SWE-agent barely moves pass rates more than rerunning the same setup. Cost per task, however, can triple, driven mainly by the system prompt that gets resent with every step.
Moonshot AI's Kimi K3.1 Pro scores 55 points on the Artificial Analysis Intelligence Index, an 11-point jump over its predecessor that puts it in fourth place. Only three Anthropic and Meta models rank higher. If Moonshot releases the weights as planned, the gap between open and proprietary models shrinks to just three points.
DeepSeek has reportedly raised $15 billion in one of China's largest funding rounds, just days after the U.S. ordered federal agencies to remove its technology over national security concerns.
The US has banned Deepseek from its government systems, and China is protesting sharply and demanding the ban be lifted. Yet Beijing itself blocks ChatGPT, Claude, and Gemini across its entire market. China's outrage isn't very credible, but it should be taken seriously as a political signal of possible retaliation.
DeepSeek has open sourced DeepInfer, the production inference framework behind V4.1 Flash. Customised from vLLM under the Apache 2.0 licence, it supports distributed inference, speculative decoding, SWA Bounded Replay and structured output, and covers both NVIDIA and Huawei Ascend platforms.
Deepseek is open-sourcing DeepInfer, the inference framework behind its fast V4.1-Flash model. The vLLM-based system cuts compute costs and energy use when running AI models. The release adds more pricing pressure on Western providers like OpenAI and Anthropic.
The US Department of Homeland Security has banned federal civilian agencies from using AI technology from Chinese lab Deepseek.
The US has ordered federal civilian agencies to remove DeepSeek products and third-party services built using its technology, citing national security concerns.
Congrats to DeepSeek V4.1 Flash 1017, MiniMax M3.1 Flash, and Mercury 3 (details below) but they’re not going to be in super wide use just yet.
MiniMax's M3.1 Flash jumps 13 points over its predecessor to 42 on the Artificial Analysis Intelligence Index, at half the cost. It also hits 73.7 percent on the DeepSWE v1.1 coding benchmark for under $0.30 per task, matching Deepseek V4.1 Flash 1017 on both performance and price.
Fed up with ads, tracking and sluggish interfaces, some smart TV owners are turning to AI agents to strip away bloatware and take back control of their TVs.
Deepseek has released V4.1-Flash-1017 as an open-weight model that posts better benchmarks, finishes tasks faster, and produces shorter outputs than its predecessor. The company is also opening up its internal search engine through new Search and Fetch APIs at $0.75 per 1,000 calls. API users in tools like Claude Code and Codex get free access for now.
On the TheoPhysEval benchmark, GPT-6-Astra solves 49 of 50 unpublished theoretical physics calculations as accurately as leading specialists. In some cases where the agent seemed to fail, the experts' own reference solutions turned out to contain errors. But the researchers say physics hasn't had a breakthrough like the ones in mathematics, because the agents lack "taste."
As you can see in the AINews X recap section below, everyone on earth has cloned the Jev API, but only one company can ever create the category. TypeSafe announced their “Series AI” and Sequoia “leaked” that they crossed 100M ARR in their first week.
According to CrowdStrike, a suspected Chinese-speaking attacker hacked multiple South Korean financial institutions. At Shinhan Bank alone, more than 25,000 customer records were stolen. The attacker used ARTEX, an open-source tool that uses AI models like DeepSeek and GLM-5.3 for automated penetration testing. CrowdStrike says the case shows how AI tools can let a single person pull off massive breaches.
Deepseek is close to raising at least $12 billion in a new funding round, Bloomberg reports.
Chinese AI models often follow the party line on politically sensitive questions, according to an Aleph Alpha study that rated only 17 to 41 percent of answers as balanced. Aleph Alpha sells "sovereign AI" to governments, giving it a commercial interest in distinguishing its models from Chinese competitors.
According to researchers at the Deepmind Institute, general AI won't emerge as a single supermodel but as a network of cooperating agents and humans. What will matter most, they argue, is not model size but the rules and institutions that govern how they all work together.
GPT-6.1 Sol launch: OpenAI priced Sol at $2/$10 per million input/output tokens, compared with $10/$50 for Astra (pricing summary). Claimed results: It reportedly beats GPT-6 Sol by 6.4 points on DeepSWE v1.1 and Opus 5.5 by 2.2 points on AutomationBench (summary).
We catch up with RLM first author Alex Zhang, MIT PhD, on Jev, PhD masxing, and the future of harnesses.
Deepseek and Huawei have built open-source programming tools for Huawei's Ascend AI chips. At the center is TileLang, a language designed to offer a simpler programming model than Nvidia's CUDA. The partnership targets the biggest obstacle for China's AI industry, which is software that gets the most out of domestic chips.
OpenAI announced persistent Dots agents, GPT-6.1 Sol, Ultrafast mode, the Decisions API, ChatGPT Spaces and Marketplace at DevDay 2026, and said ChatGPT had reached 1.2 billion weekly active users.
As President Donald Trump prepares to meet tech and AI CEOs in Washington, Rep. Ro Khanna (D-CA) is calling for a treaty between the US and China to keep AI from wreaking havoc on the world. But wrangling leaders in both countries to take action could be a long shot.