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A Baidu Apollo Go robotaxi in Wuhan, China. | Image: Bloomberg via Getty Images China has suspended new licenses for autonomous vehicles, Bloomberg reports, citing unnamed people familiar with the matter. The move comes after dozens of robotaxis operated by Chinese tech giant Baidu ground to a halt in traffic last month in Wuhan, creating chaos. The restrictions will prevent companies from adding new driverless cars to their fleets, expanding into new cities, or starting new test projects. It is unclear when officials will start issuing new licenses again. Bloomberg said the Wuhan incident alarmed authorities in Beijing, prompting regulators to urge local governments to review the sector to prevent similar episodes. … Read the full story at The Verge.



The AI disruption story is being told wrong. Firms aren't firing — they're freezing hiring.
Article URL: https://aws.amazon.com/quick/ Comments URL: https://news.ycombinator.com/item?id=47944871 Points: 1 # Comments: 1

Amazon's new "Join the chat" feature lets you ask questions about products and receive AI-powered audio responses.

Jensen Huang went from washing dishes at Denny's to building the world’s most valuable company—now he says the field he studied in college will be critical to the AI revolution.

Jensen Huang went from washing dishes at Denny's to building the world’s most valuable company—now he says the field he studied in college will be critical to the AI revolution.
arXiv:2604.24805v1 Announce Type: new Abstract: Modern machine learning optimizes for accuracy without explicitly accounting for internal computational cost, even though physical and biological systems operate under intrinsic energy constraints. We evaluate energy-aware learning across 2,203 experiments spanning vision, text, neuromorphic, and physiological datasets, using 10 seeds per configuration and performing a factorial statistical analysis. Three findings emerge. First, architecture alone explains negligible variance in accuracy (partial eta^2 = 0.001). In contrast, the architecture x dataset interaction is large (partial eta^2 = 0.44, p < 0.001), demonstrating that optimal architecture depends critically on task modality and rejecting the assumption of a universal best architecture. Second, a controlled lambda-sweep over four orders of magnitude validates a single-parameter energy-regularized objective L = L_CE + lambda * E(theta, x): internal activation energy decreases to 6%
arXiv:2604.24990v1 Announce Type: new Abstract: Stephen Wolfram proclaimed in his 2003 seminal work "A New Kind Of Science" that simple recursive programs in the form of Cellular Automata (CA) are a promising approach to replace currently used mathematical formalizations, e.g. differential equations, to improve the modeling of complex systems. Over two decades later, while Cellular Automata have still been waiting for a substantial breakthrough in scientific applications, recent research showed new and promising approaches which combine Wolfram's ideas with learnable Artificial Neural Networks: So-called Neural Cellular Automata (NCA) are able to learn the complex update rules of CA from data samples, allowing them to model complex, self-organizing generative systems. The aim of this paper is to review the existing work on NCA and provide a unified modular framework and notation, as well as a reference implementation in the open-source library NCAtorch.

A day after OpenAI got Microsoft to agree to end exclusive rights, AWS announced a slate of OpenAI model offerings, including a new agent service.

BTIG raised its price target on Twilio (NYSE:TWLO) to $175 from $155, while maintaining a Buy rating ahead of Q1 results. The price target hike by BTIG reinforces a growing Wall Street thesis: Twilio is becoming the communications infrastructure for the AI era. For prudent investors, the call lands with a real asterisk, since BTIG ... BTIG Raises Twilio Price Target to $175: Is This the AI Communications Infrastructure Play?

Mizuho raised its price target on Amazon (NASDAQ:AMZN) stock to $325 from $315 and kept an Outperform rating, sharpening the bull case that AWS is becoming the cloud backbone of the AI era. The firm lifted its estimates to reflect incremental disclosures around scaling chip and AI revenue at AWS, with hyperscale customer wins driving ... Mizuho Raises Amazon Price Target to $325: Is AWS the Real AI Winner of 2026?

Recruitment tool that aims to match scarce AI talent with tech companies gets backing from Notion Capital, with participation from a16z Speedrun, Concept Ventures and other.

Article URL: https://www.windowslatest.com/2026/04/29/i-investigated-windows-11s-massive-5gb-monthly-msu-updates-ai-is-only-part-of-the-problem/ Comments URL: https://news.ycombinator.com/item?id=47944511 Points: 3 # Comments: 0

After Anthropic refused to allow the DoD to use its AI for domestic mass surveillance and autonomous weapons, Google has signed a new contract with the department.

Article URL: https://www.404media.co/study-finds-a-third-of-new-websites-are-ai-generated/ Comments URL: https://news.ycombinator.com/item?id=47937407 Points: 2 # Comments: 1

Google’s sharing 20 fun facts to celebrate Google Translate turning 20, from its roots as a 2006 AI experiment to supporting almost 250 languages today.

Article URL: https://www.modelrepublic.org/articles/the-reporters-at-this-news-site-are-ai-bots.-openai%E2%80%99s-super-pac-appears-to-be-using-it-to-advance-its-political-agenda Comments URL: https://news.ycombinator.com/item?id=47935477 Points: 3 # Comments: 0
It is Audio-Image/vids-Text -> Text Original BF 16 https://huggingface.co/nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 GGUF: https://huggingface.co/unsloth/NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-Reasoning-GGUF submitted by /u/Altruistic_Heat_9531 [link] [comments]

The move comes as the trial for Elon Musk’s lawsuit against OpenAI kicks off in federal court in Oakland.
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Article URL: https://www.privatebankerinternational.com/news/instacart-co-founder-launches-hedge-fund-backing-ai-agents-over-portfolio-managers/ Comments URL: https://news.ycombinator.com/item?id=47943978 Points: 1 # Comments: 0

The AI race lately has felt a bit like a game of tennis: first, Anthropic releases a new, pricey state-of-the-art proprietary model for general users (Claude Opus 4.7), then, a week or so later, its rival OpenAI volleys back with one of its own (GPT-5.5). And all the while, Chinese companies like DeepSeek and even Xiaomi are seeking to appeal to users by playing a different game: nearing the frontier, but with open licensing and far lower costs. So it's a big surprise when a new, affordable, highly performant open source contender from the U.S. emerges. Today, we got one from the smaller, lesser-known U.S. AI startup, Poolside, founded in San Francisco in 2023. The company launched its two new Laguna large language models, both of which offer affordable intelligence optimized for agentic workflows (AI that does more than just chat or generate content, but can, in this case, write code, use third-party tools, and take actions autonomously), as well as a new coding agent harness called

Mistral AI, the Paris-based artificial intelligence company valued at €11.7 billion ($13.8 billion), today released Workflows in public preview — a production-grade orchestration layer designed to move enterprise AI systems out of proofs of concept and into the business processes that generate revenue. The product, which launches as part of Mistral's Studio platform, is the company's clearest articulation yet of a thesis that is quietly reshaping the enterprise AI market: that the bottleneck for organizations adopting AI is no longer the model itself, but the infrastructure required to run it reliably at scale. "What we're seeing today is that organizations are struggling to go beyond isolated proofs of concept," Elisa Salamanca, who leads go-to-market for Mistral's enterprise products, told VentureBeat in an exclusive interview ahead of the launch. "The gap is operational. Workflows is the infrastructure to run AI systems reliably across business-critical processes." The release arriv

Bloomberg's "AskB" shows the potential of AI agents in finance. Building it wasn't easy, Bloomberg CTO says.

The new AI feature is less “chatbot on your phone” and more a way to send your computer errands while you’re away.
TL;DR: Google’s Gemini CLI subagents release matters because it packages a real coding-agent painkiller: separate context windows, restricted toolsets, and parallel specialist delegation inside one terminal workflow. The useful story is not “Google now has subagents too” — it’s that context isolation is becoming a visible product primitive instead of a hidden prompt trick. What stood out to me: - Practical changes for builders/ops (runtime, tooling, reliability). - Where the claims are strong vs. where they’re still speculative. - Question: what would you change in your stack this week because of this? Questions for folks here: - Biggest implication you see (product, infra, safety, cost)? - Any counterpoints / missing context? submitted by /u/Competitive_Dark7401 [link] [comments]

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck by automating the full optimization loop for training data, model architectures, and learning algorithms. A new framework called ASI-EVOLVE, developed by researchers at the Generative Artificial Intelligence Research Lab (SII-GAIR), aims to solve this bottleneck. Designed as an agentic system for AI-for-AI research, it uses a continuous "learn-design-experiment-analyze" cycle to automate the optimization of the foundational AI stack. In experiments, this self-improvement loop autonomously discovered novel designs that significantly outperformed state-of-the-art human baselines. The system generated novel language model architectures, improved pretraining data pipelines to boost benchmark scores by over 18 points, and designed highly efficient reinforcement learning algorithms. For enterpri

At WIRED Health, British surgeon Ara Darzi said AI is set to transform the diagnosis and treatment of drug-resistant infections. But a lack of incentives means innovation may not reach patients.

New platform aims to reduce operator workload while enabling coordinated drone response at scale SkyfireAI has announced an $11 million seed funding round to accelerate development of its AI-driven platform for autonomous, multi-drone operations. The round was led by Mucker Capital, with participation from AI Fund, SaaS Ventures, and others. The Huntsville, Alabama-based company is […] The post SkyfireAI Raises $11M to Advance Autonomous Multi-Drone Operations for Public Safety appeared first on DRONELIFE.