On Equity, we discussed the AI industry's latest debate about whether it poses an existential threat to humanity.

Obama recently said that Democrats need to make artificial intelligence one of their “central agendas” and “have a very clear plan” to address concerns around the technology’s economic impact and safety.

While OpenAI has filed confidentially for an IPO, the company will not be going public this year, according to CEO Sam Altman.

Anthropic's Dario Amodei and OpenAI's Sam Altman seem to agree that it's time to "pace the frontier." What would that actually look like?

Recursive Self-Improvement or RSI is widely considered the holy grail of AI, and a wild rumor now suggests that Google's DeepMind - the unlikeliest of AI labs in the current paradigm - has achieved this feat, which then puts a cynical spin on a somewhat coordinated push from Anthropic, OpenAI, and Elon Musk to try to achieve regulatory capture of the broader AI sphere by advocating for pacing progress on AI models. Cynisim abounds as Anthropic, OpenAI, and Elon Musk all call for pacing the progress on AI, which critics argue only serves as a front for disadvantaging other AI […]

Read full article at https://wccftech.com/a-wild-rumor-says-google-is-on-the-verge-of-achieving-rsi-as-anthropic-openai-and-elon-musk-all-call-for-pacing-ai-in-what-might-be-a-cynical-attempt-at-regulatory-capture/

An aging Pixel smartphone will always have multiple use cases, and while Google’s Tensor might be the most underpowered SoC after Huawei’s Kirin series, it’s still capable enough of running smaller AI models if configured properly. For instance, one enthusiast made a cyberdeck housing a Pixel 7 and ran Qwen2.5-abliterate:3b, a 3-billion-parameter uncensored model, which has its safety filters completely removed. Unfortunately, even running a smaller model on a Pixel 7 requires patience, as the handset only manages 5 tokens per second Using Claude Code, Redditor “Levfo” generated the 3D-printed CAD files for the cyberdeck case used for the Pixel […]

Read full article at https://wccftech.com/older-google-pixel-smartphones-run-uncensored-on-device-ai-model/

d-Matrix and NVIDIA announced that d-Matrix will use NVLink Fusion to scale up and out with its next-gen Raptor AI accelerators

The post d-Matrix Joins the NVIDIA NVLink Fusion Platform appeared first on ServeTheHome.

The round for the two-year-old startup is coming together months after Mecka announced its Series A.

Tan wants smaller, American open-weight AI labs to use the same kind of training techniques on American frontier AI labs, giving the U.S. a more robust set of open-weight options that aren’t Chinese.

Twenty-five leading mathematicians signed an open letter arguing that AI labs are threatening their intellectual work.

Only one week left to secure your exhibit table. Tables are limited and can sell out before the September 18 deadline.

The absolute last chance to apply to host an official Side Event during TechCrunch Disrupt 2026 is tonight, September 11, at 11:59 p.m. PT.

While K3's usage figures have declined slightly in recent months, OpenRouter data currently shows as many as 300 billion tokens being generated each day by K3 models on the system.

The No. 2 exec at OpenAI also led Instacart through its IPO in 2023.

The use of AI has enabled users to obtain feats that were never thought possible, such as vibe-coding a game featuring 27,000 lines of code, or enabling software compatibility between macOS and an HP printer without official software. New possibilities are being stumbled upon daily. For Claude Fable 5’s newest accomplishment, a user designed and manufactured an entire working PCB from scratch, but the process was far from perfect. To achieve a PCB design from start to finish costs $450 in API credits alone, making it a fun, but pricey project After going nowhere with advanced AI models like Opus 4.5 […]

Read full article at https://wccftech.com/claude-fable-5-ai-custom-pcb-design-demonstration/

AI model routers are emerging as one of the biggest threat vectors for data security, as evidenced by a shocking anecdote from a researcher, who was able to uncover a veritable treasure trove from a data dump on routing sessions related to Anthropic's Claude, with grave ramifications for vulnerable Chinese government entities and companies such as Huawei and Xiaomi. According to a researcher, just 6TB of data dump gleaned from routing sessions related to Anthropic's Claude can yield enough valuable credentials to hack top Chinese government agencies and companies For the benefit of those who might not be aware, LLM […]

Read full article at https://wccftech.com/a-researcher-buys-6tb-of-anthropic-claude-data-dump-from-a-china-based-llm-router-finds-enough-ammo-to-hack-xiaomi-huawei-and-chinese-government-agencies/

Exceleram’s VP of Product, Steffen Eisenstein, has shared a detailed breakdown of the ongoing RAM shortage, warning that the industry is still only at the beginning of the crisis. According to Eisenstein, the AI boom has pushed memory inventories to their limits, and securing DRAM has become harder than ever.

Eisenstein says the situation began far earlier than many realised. “For us as a RAM manufacturer, the crisis began as early as the fourth quarter of 2025,” he explains. “In October last year, we saw DRAM prices rise sharply for the first time, the price jumps at the time were already extreme.” As partners recognised the looming shortage, Exceleram saw larger orders and depleted inventories while new DRAM became increasingly expensive.

Even for long‑standing manufacturers, the current environment is unusual. “It has never been this difficult to secure DRAM,” Eisenstein says. Major suppliers saw record stock‑market gains, and in December 2025, Micron officially withdrew from the consumer RAM and SSD market. Meanwhile, medium‑sized companies struggled to keep PC assembly profitable. “High RAM prices are making cost calculations difficult,” he notes, with some partners abandoning the segment entirely.

By early 2026, analysts and media outlets were openly referring to a “memory crisis”. Exceleram’s inventories were empty, production costs were high, and demand collapsed. “We even canceled our Computex booth because under these circumstances, it did not make sense to find new resellers,” Eisenstein says. Supply delays followed, and while production continued for existing partners, sales dropped sharply.

Demand began to recover slightly in Q2 and Q3, but the underlying issues remained. Eisenstein recalls a conversation with a journalist who told him: “People have accepted that RAM has become more expensive and is not going to get cheaper again.” Even so, he warns that high prices have led to lower demand and tighter competition, with margins far smaller than they appear.

The most concerning development, according to Eisenstein, is that the crisis is still escalating. “In some cases, we have not received any offers for the chips we need for weeks,” he writes, adding that supply security is deteriorating to the point where it is slowing down the development of new consumer hardware. “That is the uncomfortable truth: The RAM crisis is far from over. It may have only just begun.”

KitGuru Says: Anyone who was hoping for the PC hardware market to bounce back in 2027 may end up being disappointed. If Exceleram are right on this, then things could continue to get worse until new production lines open up to increase capacity, but this is a process that takes a lot of time and money. 

The post Exceleram warns RAM shortage is still escalating first appeared on KitGuru.

LTM, the Larsen & Toubro Group services company that was LTIMindtree until its February rebrand, is building a Lightwell remediation services practice around the $5 billion IBM and Red Hat program for securing open-source software with AI-generated, vendor-validated fixes. IBM’s clearinghouse produces validated, production-ready patches for open-source dependencies; LTM’s job is getting them into customer environments. The company says its planned portfolio spans remediation strategy, dependency analysis, risk-based prioritization, remediation program management, DevSecOps integration, testing and validation, and large-scale deployment support.

Where LTM Fits in the Lightwell Model

Lightwell’s premise, as IBM and Red Hat laid it out in May, is that AI is accelerating vulnerability discovery faster than enterprises can remediate, so a clearinghouse staffed by more than 20,000 engineers ingests vulnerability data from live deployments, validates fixes, and ships them as production-ready patches through subscription services. In July, the two companies added a Lightwell Network tier, which is generally available with a library of remediations spanning current and legacy libraries, and a Lightwell Clearinghouse Premier tier in limited-availability commercial onboarding, and named a bench of deployment partners that included LTM alongside Accenture, Deloitte, HCLTech, Infosys, Kyndryl, TCS, and others. This week’s announcement turns LTM’s spot on that list into a defined offering, backed by its standing as an IBM Platinum Partner.

“As AI accelerates software development and vulnerability discovery, enterprises need a faster and more scalable approach to remediation,” said Chandan Pani, chief information security officer at LTM. “Lightwell represents a significant advancement in securing the open-source software supply chain by bringing AI-driven remediation and trusted software maintenance into the enterprise. Through our collaboration with IBM, LTM will help organisations strengthen their cyber resilience at scale.” Sandip Patel, managing director of IBM India and South Asia, framed it as collective defense: “As AI accelerates vulnerability discovery, collaboration across the ecosystem becomes increasingly important. Bringing LTM’s engineering and transformation expertise to Lightwell can help enterprises mitigate risk and build more resilient software supply chains.”

Why IBM and Red Hat Want the Integrators

Red Hat’s Ryan King, vice president of AI and infrastructure partners, was the most direct about why the program needs a partner channel at all: “AI-driven discovery has pressed the demand for speed and patch delivery far beyond the means of any one single vendor.” A validated patch from the clearinghouse still has to be prioritized against a customer’s actual dependency graph, tested in that customer’s pipelines, and rolled out across an estate without taking down the applications it protects, and that’s the work LTM says it’ll take on, with the stated goal of heading off zero-day exploits and production downtime.

LTM describes the portfolio as planned, and the release carries no pricing, availability dates, or named customers, so this is a go-to-market announcement for services that are being built around Lightwell’s existing tiers. What it does signal is that Lightwell’s financial-services early adopters, which included Bank of America, Citi, Goldman Sachs, JPMorganChase, and Visa at launch, will be followed by a wider enterprise base that reaches the program through integrators like LTM, and we’ll be watching for the first deployment specifics.

IBM Lightwell

The post LTM Builds a Lightwell Remediation Services Practice Around IBM and Red Hat’s $5B Open-Source Program appeared first on StorageReview.com.

IBM and Lockheed Martin are setting up a quantum innovation hub at ETH Zurich, and its core is Switzerland’s first IBM Quantum System Two, to be installed at the Swiss National Supercomputing Centre (CSCS) in Lugano by the end of 2026. The hub comes out of an offset agreement with armasuisse, Switzerland’s Federal Office for Defence Procurement. IBM will operate the machine, which runs on an IBM Quantum Nighthawk processor, while ETH Zurich supplies the expertise and coordinates access for Swiss universities, startups, and companies.

A 120-Qubit Nighthawk r2 Next to Alps

The Swiss system will run IBM’s Nighthawk r2, which IBM calls the fastest and most advanced processor it has made available to users. It carries 120 programmable qubits and a new high-speed qubit reset architecture that lets it execute more than 100,000 circuits per second, which IBM puts at up to 25x the circuit throughput of the Heron processors it succeeds. IBM also says the part has already demonstrated accurate computations on quantum circuits containing 7,500 gates. Nighthawk is the processor family IBM has been building its near-term roadmap around, most recently when it linked two cryogenic modules below 15 millikelvin on the way to its 2029 fault-tolerant machine.

CSCS will house the System Two in the same facility as its Alps supercomputer and provide the power, cooling, and security, so the quantum node sits directly alongside national HPC infrastructure for the chemistry, materials science, optimization, and financial services work the hub is targeting. That’s the same quantum-centric supercomputing pattern IBM has been describing with partners like AMD, where a quantum processor handles the parts of a problem classical hardware can’t simulate efficiently, and the supercomputer handles the rest. The IBM and ETH Zurich agreement to install and operate the system runs for an initial three years, through 2029. Until the hardware arrives, organizations joining through ETH Zurich get access to IBM’s cloud-based quantum fleet, and the whole arrangement builds on a 10-year collaboration between IBM and ETH Zurich on the next generation of algorithms for AI and quantum computing.

Lockheed Martin’s Two Projects and the Training Pipeline

The hub formalizes two joint projects between IBM and Lockheed Martin: quantum sensing for navigation, and quantum simulation aimed at improving the additive manufacturing of metallic alloys. “This project extends the strategic relationship between Lockheed Martin and IBM in quantum and AI while positioning Switzerland as a leader in these critical, cutting-edge fields,” said Dr. Craig Martell, vice president and chief technology officer at Lockheed Martin. Alessandro Curioni, vice president of algorithms and applications at IBM Research and director of the Zurich Research Laboratory, said the goal is “to put world-class quantum hardware, software and expertise directly into the hands of Switzerland’s thriving academic institutions and industries.”

“Switzerland will gain access to essential research infrastructure that will enable us to further advance the exploration of this emerging technology,” said ETH Zurich President Joël Mesot. Alongside the hardware, the Swiss ecosystem gets IBM Quantum Network and IBM Quantum Platform learning offerings, including coursework, certifications, and workshops, plus support for hackathons, conferences, and partner forums. IBM’s Starling roadmap puts a fault-tolerant system in Poughkeepsie by 2029, and installations like the one at CSCS are where the algorithms for that machine get worked out on utility-scale hardware in the meantime.

IBM Quantum Hardware

The post IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026 appeared first on StorageReview.com.