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A new startup called Dessn has raised $6M to build AI-powered design tools that work directly with production codebases.



Tech futures fell as oil prices topped $100 while South Korea news triggered losses in Q1 stocks. CPI inflation picked up.

Article URL: https://github.com/loadzero/ai-to-arse Comments URL: https://news.ycombinator.com/item?id=48107447 Points: 1 # Comments: 1

The Japanese drugmaker aims to more than double oncology revenue to above ¥2.3 trillion by 2030 and become one of the world's top five oncology players by 2035.

CEO Masayoshi Son is considering a multibillion-dollar investment in the country as part of SoftBank's broader buildout of artificial intelligence infrastructure.

Article URL: https://www.caranddriver.com/news/a71269172/tesla-ai-tech-airbag-deployment/ Comments URL: https://news.ycombinator.com/item?id=48103644 Points: 2 # Comments: 0

Is AI leaving the era of "turn-based" chat? Right now, all of us who use AI models regularly for work or in our personal lives know that the basic interaction mode across text, imagery, audio, and video remains the same: the human user provides an input, waits anywhere between milliseconds to minutes (or in some cases, for particularly tough queries, hours and days), and the AI model provides an output. But if AI is to really take on the load of jobs requiring natural interaction, it will need to do more than provide this kind of "turn-based" interactivity — it will ultimately need to respond more fluidly and naturally to human inputs, even responding while also processing the next human input, be it text or another format. That at least seems to be the contention of Thinking Machines, the well-funded AI startup founded last year by former OpenAI chief technology officer Mira Murati and former OpenAI researcher and co-founder John Schulman, among others. Today, the firm announced a r

Digg returns (again) as another place to read AI news.

The Anthropic xAI deal is shocking but not surprising: Musk should double down on serving other companies.

Right now, every AI model you've ever used works the same way. You talk, it listens. It responds, you listen. Thinking Machines is trying to change that by building a model that processes your input and generates a response at the same time, so it's more like a phone call than a text chain.

Celestica Inc. recently made its DS6000-series 1.6TbE switches available for order, offering high-bandwidth, air- and hybrid-cooled platforms powered by Broadcom Tomahawk 6 silicon to support AI and machine learning data center back-end networks. By aligning these 1.6TbE switches with open standards such as UEC and OCP ESUN, Celestica is positioning its networking hardware as a foundational building block for large-scale “AI factory” infrastructure worldwide. Next, we’ll explore how...

Anthropic is rumored to be circling a $200 billion deal with Google Cloud.

Article URL: https://www.sdxcentral.com/analysis/cisco-cpo-predicts-ai-will-have-built-majority-of-the-vendors-products-by-end-of-2027/ Comments URL: https://news.ycombinator.com/item?id=48103302 Points: 4 # Comments: 2

Article URL: https://cybersecurityreach.org/investigations/ifyourevokethistokenitwillwipethecomputeroftheowner-shai-hulud-2026 Comments URL: https://news.ycombinator.com/item?id=48102957 Points: 3 # Comments: 1
OpenAI launches DeployCo, a new enterprise deployment company built to help organizations bring frontier AI into production and turn it into measurable business impact.

Some of the positions focus on AI-native development, data engineering and analytics, cloud-based engineering, and agent and model development as well as prompt engineering and new AI workflows.

The former OpenAI chief scientist may be estranged from the company, but he still came to its defense as he testified on Monday.

Despite years of digitization, organizations capture less than one-third of the value expected from digital investments, according to McKinsey research. That’s because most big companies begin with technological capabilities and bolt applications onto them, rather than starting with customer needs and working backward to technology solutions. Not prioritizing the customer can create fragmented solutions; disjointed…
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The Paris startup, backed by leaders from OpenAI, Anthropic, DeepMind, Mistral, and Hugging Face, says companies need real-time tools to control what AI systems do after they are deployed.

Vapi says its enterprise business has grown 10-fold since early 2025 as companies shift customer support and sales calls to AI agents.
Hello there people. So I have noticed that people are pretty much ignoring Llama 3 plus 3.1, 3.2, and 3.3 these days. They never mention how their experience goes with fine-tuning those models. But we haven't been getting many entries into the 70 billion space. So is, for example, Llama 3.3 70B the best thing available right now to be experimented with and fine-tuned? Or is it Qwen3 all the way? submitted by /u/Silver-Champion-4846 [link] [comments]

Dooap, the Accounts Payable Automation solution purpose-built for Microsoft Dynamics 365 Finance, today announced the launch of Dooap Studio — an AI-powered agentic platform that gives AP teams direct control to design, tune, and govern AI agents without relying on IT or custom development.

The Toyota-based eVTOL maker joins Osaka Metro, Marubeni, Soracle, and local governments to commercialize the Osakako Vertiport on Osaka Bay. SkyDrive has launched Japan’s first consortium for the commercial operation and joint usage of an eVTOL vertiport. The Toyota-based company announced the partnership on May 8, 2026. The group will commercialize Osakako Vertiport, a dedicated […] The post SkyDrive, Osaka Metro Launch Japan’s First eVTOL Vertiport Consortium appeared first on DRONELIFE.

AI agents choose tools from shared registries by matching natural-language descriptions. But no human is verifying whether those descriptions are true. I discovered this gap when I filed Issue #141 in the CoSAI secure-ai-tooling repository. I assumed it would be treated as a single risk entry. The repository maintainer saw it differently and split my submission into two separate issues: One covering selection-time threats (tool impersonation, metadata manipulation); the other covering execution-time threats (behavioral drift, runtime contract violation). That confirmed tool registry poisoning is not one vulnerability. It represents multiple vulnerabilities at every stage of the tool’s life cycle. There’s an immediate tendency to apply the defenses we already have. Over the past 10 years, we’ve built software supply chain controls, including code signing, software bill of materials (SBOMs), supply-chain levels for software Artifacts (SLSA) provenance, and Sigstore. Applying these defe

A doctor in a hospital exam room watches as a medical transcription agent updates electronic health records, prompts prescription options, and surfaces patient history in real time. A computer vision agent on a manufacturing line is running quality control at speeds no human inspector can match. Both generate non-human identities that most enterprises cannot inventory, scope, or revoke at machine speed. That is the structural problem keeping agentic AI stuck in pilots. Not model capability. Not compute. Identity governance. Cisco President Jeetu Patel told VentureBeat at RSAC 2026 that 85% of enterprises are running agent pilots while only 5% have reached production. That 80-point gap is a trust problem. The first questions any CISO will ask: which agents have production access to sensitive systems, and who is accountable when one acts outside its scope? IANS Research found that most businesses still lack role-based access control mature enough for today's human identities, and agents

RLWRLD said with RLDX-1, it aimed to include things like context memorization or force sensing, which existing models often lack. The post RLWRLD releases RLDX-1, a dexterity-first foundation model for robot hands appeared first on The Robot Report.

Arbe Robotics Ltd. (NASDAQ:ARBE) earns a place on our list of the most popular AI penny stocks to buy. Arbe Robotics Ltd. (NASDAQ:ARBE) is pivoting its commercialization focus toward defense, robotics, and off-road markets, beyond traditional automotive programs. In its FY2025 results, Arbe Robotics Ltd. (NASDAQ:ARBE) said it is moving away from relying primarily on […]
Ok so I was debugging someone's code last week. They replaced PID loop with neural network. Why?? It was slower, harder to debug, and not even better. I think just looked cool in the presentation lol I get it, ML is great for perception, manipulation, stuff you can't just write rules for. But for control loop? Come on. PID, LQR, MPC – predictable, you know what they do, you can fix them at 3am when everything is on fire. Also somebody will need to maintain this code in 3 years. Good luck explaining neural network to that person:) But maybe I am missing something here. Anyone actually replaced classical control with ML and was happy with result? submitted by /u/NickShipsRobots [link] [comments]