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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...



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

Article URL: https://cybersecurityreach.org/investigations/ifyourevokethistokenitwillwipethecomputeroftheowner-shai-hulud-2026 Comments URL: https://news.ycombinator.com/item?id=48102957 Points: 3 # Comments: 1

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.

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.

Robinhood files confidentially for its second venture fund, this time targeting growth as well as early-stage startups.

The former OpenAI chief scientist may be estranged from the company, but he still came to its defense as he testified on Monday.
OpenAI launches DeployCo, a new enterprise deployment company built to help organizations bring frontier AI into production and turn it into measurable business impact.

The Google (GOOG) Threat Intelligence Group said on Monday it identified its first known instance of

Article URL: https://github.com/maioio/genesis-architect Comments URL: https://news.ycombinator.com/item?id=48101172 Points: 1 # Comments: 0
Nvidia super bull spots mysterious new AI trend after 80x call

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…

Thinking Machines, the AI company founded by former OpenAI CTO Mira Murati, announced Monday that it's working on something called "interaction models." The idea behind interaction models, according to Thinking Machines, is that they will let people "collaborate with AI the way we naturally collaborate with each other - they continuously take in audio, video, and text, and think, respond, and act in real time." As explained by Thinking Machines: Today's models experience reality in a single thread. Until the user finishes typing or speaking, the model waits with no perception of what the user is doing or how the user is doing it. Until th … Read the full story at The Verge.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. A few months before he was awarded the Nobel Prize in economics in 2024, Daron Acemoglu published a paper that earned him few fans in Silicon Valley. Contrary to what Big Tech…

The next AI challenge for CFOs may be management.

This week, the new, AI-powered Google Finance is launching across Europe, with full local language support. This reimagined experience offers a suite of powerful capabil…
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Get Started FreeI've made an account as a long-time lurker because I am hoping y'all could help reconcile my experience in my company/team with what seems to be the wise HN consensus around LLMs. My Background (Software Engineer II): I've been writing software professionally for >10 years and grew up coding games/websites for fun; did my undergraduate in C.S./C.E., and did some time in ML research and such. Right now I'm on the back-end/DevOps team - my teammates are all Senior Staff/Principal Engineer (one is almost double my age lol!) and we have a pretty standard tech stack (NodeJS, AWS, C++, etc) with 95% brownfield development at a large but not FAANG-like company. I've had my current job for >6 years and out of ~20 in our department I'm the third newest! I'd say I'm a pretty stereotypical engineer AKA "a total nerd" with private side projects mostly around implementing computational geometry or procedural simulation papers in Rust, sometimes working on a lil website tool we use daily. But I most

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.

OpenAI is launching Daybreak, an AI initiative focused on detecting and patching vulnerabilities before attackers find them. Daybreak uses the Codex Security AI agent that launched in March to create a threat model based on an organization's code and focus on possible attack paths, validate likely vulnerabilities, and then automate the detection of the higher risk ones. Its launch comes just over a month after rival Anthropic announced Claude Mythos, a security-focused AI model it claimed was too dangerous to publicly release and only shared privately as a part of its own initiative, dubbed Project Glasswing. Still, that didn't stop at leas … Read the full story at The Verge.

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

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

6 layer harness, fully mapped out.

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.
How enterprises scale AI: from early experiments to compounding impact through trust, governance, workflow design, and quality at scale.