Google Cloud has unfurled Agent Compute Engine, a service built to run, secure and scale enterprise AI agents in microVMs hosted on stateless appliances with Titan security chips, keeping credentials outside the sandbox and validating every request through dual proxy layers. It also attacks the cost problem, detecting idle agents and hibernating their sandboxes so a single physical node can host orders of magnitude more living agent microVMs than conventional VMs. Read the full article on how Google is approaching agent infrastructure: buff.ly/liNVxvw #GoogleCloud #AIAgents #CloudSecurity #CloudNative

Stoked by rising fears of sweeping AI job displacement, Capitol Hill is racing to bolster the nation's economic safety net before potential mass layoffs, with Sen. Ron Wyden and a group of Democratic senators expected to introduce the Stability and Opportunity for Workers Act, which would raise minimum unemployment payouts, broaden eligibility and grant up to 26 additional weeks of re-skilling support. The bill lands as 5,000 planned cuts at Barclays and 3,000 at Kroger amplify anxiety among everyday Americans, even as Jeff Bezos insists the coming problem will be hiring enough people. Read the full article on the race to reconcile divided visions before Washington acts too late: buff.ly/b2rRjb9 AI #FutureOfWork #Layoffs #PublicPolicy #TechNews

How do you get from AI experimentation to measurable business value? That question is at the heart of 𝘛𝘩𝘦 𝘈𝘐 𝘍𝘢𝘤𝘵𝘰𝘳𝘺: 𝘍𝘳𝘰𝘮 𝘝𝘪𝘴𝘪𝘰𝘯 𝘵𝘰 𝘝𝘢𝘭𝘶𝘦, now streaming on demand. The sessions explore how open platforms, accelerated computing and sovereign AI strategies help enterprises build AI that lasts. Catch every session on demand: bit.ly/3TlaoqX #EnterpriseAI #AIInfrastructure #AIStrategy #ArtificialIntelligence

PyTorch sits at the heart of AI development and is increasingly the software layer through which hardware vendors compete for workloads, and this year's conference showed that plainly, with Google's TorchTPU and Amazon's TorchNeuron adding native backends that port existing PyTorch work onto their own accelerators. Behind the common modeling interface, though, the kernels, compilers and low-level system software are still fragmented, and with more than 600,000 GitHub projects and roughly 150 pull requests a day, success is straining the maintainers as much as it is propelling the ecosystem. Read the full report on the state of PyTorch and the case that its open future is already here: buff.ly/7U6nTsq #PyTorch #AI #OpenSource #MachineLearning #LLM

Enterprise AI is only as strong as the infrastructure underneath it. 𝘛𝘩𝘦 𝘈𝘐 𝘍𝘢𝘤𝘵𝘰𝘳𝘺: 𝘍𝘳𝘰𝘮 𝘝𝘪𝘴𝘪𝘰𝘯 𝘵𝘰 𝘝𝘢𝘭𝘶𝘦 breaks down the architecture, compute and data foundations organizations need to run AI at scale, while keeping control of their data and models. The full program is now available on demand, so you can watch it whenever it suits your schedule. Start watching: bit.ly/3TlaoqX #EnterpriseAI #AIInfrastructure #AIStrategy #ArtificialIntelligence

Walmart introduced a suite of tools to welcome third-party AI agents into its storefront, led by the Walmart Agent Gateway built on Anthropic's Model Context Protocol, which lets ChatGPT, Gemini and Muse connect to Walmart and Sam's Club fulfillment systems. Amazon blocked Meta's Muse from its site within two weeks of launch, making this a clear split over whether AI agents get a door or a wall, and Walmart is betting that agents hunting for low prices naturally land on "everyday low prices." Read the full article on the two visions competing for the future of AI in retail: buff.ly/ewsFoK2 #AI #AIAgents #Walmart #Amazon #Retail

Most enterprises have an AI strategy. Far fewer have the foundation to turn it into results. 𝘛𝘩𝘦 𝘈𝘐 𝘍𝘢𝘤𝘵𝘰𝘳𝘺: 𝘍𝘳𝘰𝘮 𝘝𝘪𝘴𝘪𝘰𝘯 𝘵𝘰 𝘝𝘢𝘭𝘶𝘦 is now available on demand. It looks at what it really takes to close that gap, from open architecture and accelerated computing to AI sovereignty and the operational discipline that moves projects beyond the pilot stage. Presented by @TechstrongGroup, part of @TheFuturumGroup, with insights from @RedHat, @Dell, @dify_ai, @weka and @nvidia. Watch the full event on demand: bit.ly/3TlaoqX #EnterpriseAI #AIInfrastructure #AIStrategy #ArtificialIntelligence

Barclays plans to cut roughly 5,000 jobs, about 5% of its 93,000-person workforce, with 60% of the reductions landing in support functions including software developers as AI tools boost internal productivity. The bank just posted $3.08 billion in pre-tax quarterly profit, up 12%, and authorized a $670 million buyback, which makes the push look less like necessity and more like redirecting savings into technology investment. Read the full article on the restructuring and where the savings are headed: buff.ly/sKqqThY #AgenticAI #Barclays #FutureOfWork #Layoffs

Anthropic wants Claude to stop waiting around for instructions, so its new Claude Duet assistant keeps track of what's happening across your connected apps, spots tasks that need attention and prepares work without being prompted, running on its own cloud VM so it keeps going even when your phone is off. It draws from the same usage allowance as your regular Claude account, so for now Duet may lighten a professional's to-do list, but it sounds like checking its work and monitoring its usage will still be on the list. Read the full article on the research preview and what Duet can and can't do: buff.ly/bMF08z6 #AgenticAI #Anthropic #Claude #AIAgents

Is your infrastructure ready for enterprise AI? 𝘛𝘩𝘦 𝘈𝘐 𝘍𝘢𝘤𝘵𝘰𝘳𝘺: 𝘍𝘳𝘰𝘮 𝘝𝘪𝘴𝘪𝘰𝘯 𝘵𝘰 𝘝𝘢𝘭𝘶𝘦 is now available to watch on demand. Many AI initiatives stall between strategy and scale. This event looks at the foundation that closes that gap: open architecture, accelerated computing, AI sovereignty and the operational practices that turn experiments into results the business can measure. Presented by @TechstrongGroup, part of @TheFuturumGroup, the program features perspectives from @RedHat, @Dell, @dify_ai, @weka and @nvidia. Stream every session at your convenience: bit.ly/3TlaoqX #EnterpriseAI #AIInfrastructure #AIStrategy #ArtificialIntelligence

Radical Numerics claims it used an AI-generated virus to treat a bacterial infection in a human patient, but the outcome remains undisclosed and the research has not been peer-reviewed. Read more: buff.ly/VCj5uNw #AI #Biotechnology #HealthcareAI #PhageTherapy #Biosecurity

Harness this week added AI Budgets to its Cost Management Agent, letting organizations set spending policies by user, team, developer, model or project and see the tokens going into input, output and reasoning for any given task. Built first as an internal tool, it delivered a 37% savings according to Harness's own FinOps director, and the point is to stop treating tokens as though they were a virtually unlimited resource. Read the full article on how organizations are starting to ration AI spending: buff.ly/5RmspVP #AgenticAI #FinOps #Harness #AICosts #DevOps

OpenAI announced it has acquired biopharma startup Orchestra Bio, the maker of a drug-development coordination platform, and plans to integrate its technology into Rosalind, its suite of AI models and tools for life sciences research. Orchestra's agents take on project management work like monitoring studies, tracking timelines and identifying potential disruptions, adding coordination to an environment that already includes GPT-Rosalind and more than 50 scientific databases and tools. Read the full article on how OpenAI is extending its reach across the drug discovery process: buff.ly/6bI2jBM #AI #OpenAI #LifeSciences #DrugDiscovery #AIAgents

Thore Graepel, the AlphaGo co-creator who helped DeepMind make "Move 37," has launched Metis Reasoning, a 12-person London startup betting that a neuro-symbolic architecture can deliver trustworthy machine reasoning that LLMs cannot. The company argues next-token inference provides no persistent state of knowledge, leaving models to construct post-hoc rationalizations, and it plans external testing of a prototype already tackling PhD-level scientific problems within six months. Read the full article on why Metis thinks a significant set of problems can't be solved by scaling: buff.ly/OVd8jMA #AI #MetisReasoning #AlphaGo #LLM #DeepMind

llm-d 1.0 rolled out at the PyTorch Conference, adding multi-tenant quality-of-service controls, high-availability routing, a stable v1 configuration API and agent-aware serving to the CNCF Kubernetes-native inference stack Red Hat helped launch in 2025. The demo made the case better than any slide could, with 1,000 sandboxed agents hitting a shared inference service and cache hit rates climbing from roughly 30% to 75% on the same hardware, roughly doubling throughput and halving latency once llm-d's cache-aware router was switched on. Read the full report, including where llm-d is already running in production: buff.ly/lDxNneG #AgenticAI #Kubernetes #OpenSource #LLM #Inference

Anthropic is preparing what could rank among the largest IPOs ever, backed by plans to invest up to $750 billion in compute infrastructure and already holding roughly $450 billion in predominantly non-cancelable cloud commitments across Google Cloud, AWS and Microsoft. The draft prospectus also flags risks that read unlike most filings, including models exhibiting self-preserving behavior to evade deactivation and outputs resembling blackmail, even as sources say the company reached adjusted profitability in the third quarter. Read the full article on the numbers behind the listing and the debate over AI's long-term economics: buff.ly/kyhXPXP #AgenticAI #Anthropic #IPO #AIInfrastructure #TechNews

NVIDIA unveiled DSX POD at GTC Berlin, a shipping-container-sized AI factory that integrates seven Vera Rubin racks with cabling, networking, power distribution and liquid cooling already installed and tested before it leaves the manufacturer, with the company claiming deployment in 14 days instead of six months. That figure is a vendor claim and the clock only starts once power, cooling and networking are in place, though for European buyers grid access and permitting may decide when tokens flow long before the container arrives. Read the full article on the partners building it and the lock-in it carries: buff.ly/DM6pKXB #NVIDIA #AI #AIFactories #DataCenters

A regulatory bulletin drops, compliance passes it to architecture, architecture sends it to engineering, and before you know it someone's cracking open a spreadsheet, only for a downstream service to crash anyway after the change goes live. Much of legacy banking infrastructure simply cannot use frontier LLMs, since data residency rules, real-time payment latency and air-gapped core systems rule out cloud inference, and the better fit is a small language model deployed locally that handles most compliance parsing at a fraction of the compute cost. Read why the data center isn't the bottleneck, it's the architecture: buff.ly/DqlMUwN #AI #Banking #SLM #FinTech #AIGovernance

OpenAI and Google Cloud forged a partnership on Wednesday that brings GPT-6 Astra and the Codex coding agent directly to Google Cloud enterprise customers through Marketplace, letting regulated industries buy OpenAI's models against existing cloud commitments and build agentic workflows on Google's data governance and infrastructure. It's the latest expansion since OpenAI's exclusive Microsoft deal expired in April, and it lands OpenAI on all three major hyperscalers as it courts investors at a $1.4 trillion valuation. Get the full story on what the deal signals for the enterprise AI market: buff.ly/TDqjSyD #AI #OpenAI #GoogleCloud #EnterpriseAI

Classrooms emptied on Tuesday as thousands of U.S. high school and college students walked out and marched on OpenAI's headquarters, demanding an immediate freeze on generative AI development until strict safety guardrails and public oversight are in place. The backlash is deeply personal for many of them, with young artists outraged that AI-generated posters and music replaced student work, and one LaGuardia senior noting it's pretty telling that the people who have to protest against AI are the children. Read the full article on the youth movement confronting OpenAI: buff.ly/Mesxdz1 #AI #AISafety #GenZ #OpenAI #AIGovernance