AI News Archive: August 11, 2026 — Part 5
Sourced from 500+ daily AI sources, scored by relevance.
- Employers Are Treating More Workers As Disposable. AI Could Speed Up That Trend
MIT emeritus professor Paul Osterman estimates 35% of workers are already treated as disposable and artificial intelligence could create an even less secure workforce.
- AI finds so many Windows flaws, Microsoft can’t keep up. Should you worry?
Be careful what you wish for. That’s what Microsoft found out recently when it discovered that AI — rather than making Windows more secure by helping the company close security holes — could help hackers find flaws faster than Microsoft can fix them. It’s put Microsoft in a serious bind. Should the company devote a potentially massive amount of resources to fix every AI-unearthed security issue as fast as it can? Or should it rush to close the most important ones, and clean up the minor ones later at much less cost? What the company decides could have tremendous implications. For years, Microsoft has faced criticism from many in the US government because of how often its technologies have been hacked, potentially putting the nation’s security at risk. Some members of Congress have suggested the government curtail contracts with Microsoft until the company proves it can provide more safety. Billions of dollars in federal contracts could be pulled. To get a better insight into what could happen, let’s look at AI’s newfound prodigious ability to find security holes and bugs. AI-fueled security mavens Mythos and Project Glasswing Microsoft’s AI-related security problems are an outgrowth of the launch of Anthropic’s Mythos AI model , designed to handle cybersecurity and biology research. One of its goals is to uncover security vulnerabilities as quickly as possible, so that software companies and cybersecurity companies can fix them before hackers find the holes. Anthropic’s early tests found that Mythos was spectacularly successful in finding Windows security flaws. “Within 31 minutes, Mythos generated its first proof-of-concept exploit for a Windows kernel vulnerability,” Axios reported in June . Anthropic noted that its testing of Mythos “reveals a stark fact: AI models have reached a level of coding capability where they can surpass all but the most skilled humans at finding and exploiting software vulnerabilities. “Mythos Preview has already found thousands of high-severity vulnerabilities, including some in every major operating system and web browser . Given the rate of AI progress, it will not be long before such capabilities proliferate, potentially beyond actors who are committed to deploying them safely. The fallout — for economies, public safety, and national security — could be severe.” As a result, Anthropic decided to launch a security project it calls Project Glasswing , which it describes as “an urgent attempt to put these capabilities to work for defensive purposes.” Many companies beyond Anthropic are part of the effort, including Microsoft, Google, Amazon, Nvidia, Apple and others. In theory, it’s a great idea. Find and fix vulnerabilities before hackers can, and everyone is safer. What could go wrong? Plenty, as it turns out. Access to Mythos is available to anyone, and Mythos has been finding security holes and bugs far faster than companies — particularly Microsoft — can patch them. As Pro Publica reported in late July, ‘Microsoft is struggling to fix them fast enough.” Too little, too late? For now, Microsoft is only patching the most dangerous bugs and holes. And, according to Pro Public, “internal records indicate that Microsoft plans to eventually address ‘moderate’-severity flaws uncovered by Mythos. The documents made no mention of ‘low’-severity bugs.” That’s fairly typical of the triage many companies use when deciding how much effort to put into plugging holes. But some experts believe that in the Age of AI, that’s a dangerous way to handle security. Vinh Nguyen, former chief AI officer and chief data scientist at the US National Security Agency and now a senior technical adviser to Anthropic and senior fellow for AI at the Council on Foreign Relations, is particularly concerned that the approach is outdated. He told Pro Publica: “The problem now is that you can chain four low-level flaws, and that can equal a high severity. If you’re Microsoft, the current triage strategy may be underpricing risks.” It’s already proving difficult for Microsoft to keep up with patching bugs and security holes since Mythos’ launch. July’s Patch Tuesday release fixed the most bugs in Microsoft’s history – 622 of them . Things will only get harder from here. The dangers for Microsoft Microsoft is already in the doghouse for how it’s handled security. A year ago, in one of the worst attacks on Microsoft technologies, Sharepoint was hacked . Tens of thousands of servers were hit, including not just thousands of businesses, but many important government agencies as well. The National Institutes of Health (NIH) and the National Nuclear Security Administration (NNSA), which is in charge of the nation’s nuclear security, were among the victims. So were the Department of Homeland Security (DHS), the Cybersecurity and Infrastructure Security Agency, the Transportation Security Administration, Customs and Border Protection, and the Federal Emergency Management Agency, among many others. Even before then, some members in Congress were threatening to pull Microsoft contracts if it didn’t improve security. At one point Sens. Eric Schmitt (R-MO) and Ron Wyden (D-OR) sent a threatening letter to the Pentagon requesting it not increase its use of Microsoft products . “We write with serious concern that the Department of Defense (DoD) is doubling down on a failed strategy of increasing its dependence on Microsoft at a time when Congress and the administration are reviewing concerning cybersecurity lapses that led to a massive hack of senior US officials’ communications,” the letter said, in part. Nothing happened as a result of the hack or the letter. But that could change in a heartbeat if there’s another big attach. It seems inevitable that hackers will start taking advantage of how quickly Mythos discovers security holes and bugs, especially if Microsoft doesn’t fix them all. The next big hack, powered by AI, could prove very dangerous — not just for businesses and governments, but for Microsoft as well.
- AI Infrastructure Boom Drives Market Movers | Closing Bell
Comprehensive cross-platform coverage of the U.S. market close on Bloomberg Television, Bloomberg Radio, and YouTube with Romaine Bostick, Isabelle Lee, Kristine Aquino and Tim Stenovec. (Source: Bloomberg)
Score: 52🌐 MovesAug 11, 2026https://www.bloomberg.com/news/videos/2026-08-11/ai-infrastructure-boom-drives-market-closing-bell-video - One in Four Executives Say AI Errors Have Reached External Audiences or Boards, According to New Research From Workiva
Workiva Inc. (NYSE: WK), a leading, audit-ready platform for trust, transparency, and accountability, today released findings from its 2026 Midyear Executive Benchmark Survey.
- AI CEOs Are in Their Manifesto Era
AI CEOs Are in Their Manifesto Era Business Insider
Score: 51🌐 MovesAug 11, 2026https://www.businessinsider.com/ai-ceo-manifestos-mark-zuckerberg-dario-amodei-2026-8 - New Mexico Allows Schools to Opt Out of Controversial AI Tool
After a handful of districts declined to use the AI-powered reading assessment software Amira over privacy concerns, the New Mexico Public Education Department has offered alternative testing methods.
Score: 51🌐 MovesAug 11, 2026https://www.govtech.com/education/k-12/new-mexico-allows-schools-to-opt-out-of-controversial-ai-tool - Is Agentic AI Pricing Getting Better? What’s Coming Next
Pricing for enterprise agentic AI continues to be too complex, but the author has ideas about likely forthcoming improvements — and what enterprises should do now.
Score: 51🌐 MovesAug 11, 2026https://www.forbes.com/sites/moorinsights/2026/08/11/is-agentic-ai-pricing-getting-better-whats-coming-next/ - Alibaba Cloud is using AI to help it use less AI
Solves tech support tickets faster and more accurately by keeping them away from LLMs
Score: 51🌐 MovesAug 11, 2026https://www.theregister.com/ai-and-ml/2026/08/11/alibaba-cloud-is-using-ai-to-help-it-use-less-ai/5285815 - Tokenomics: Why making AI pay is tricky
Buyers of AI services are struggling to control costs and sellers are not sure how much to charge.
Score: 51🌐 MovesAug 11, 2026https://www.bbc.co.uk/news/articles/c872r52x7jgo?at_medium=RSS&at_campaign=rss - Bristol’s electric ‘air taxi’ developer Vertical Aerospace secures €86.6 million in financing commitments
Vertical Aerospace, a Bristol-based aerospace tech company that builds all-electric, vertical take-off and landing aircraft (eVTOLs), has announced about €86.6 million ($100 million) in financing commitments from existing and new investors The financing is intended to support progress toward certification and commercialisation of Valo, its piloted, four-passenger eVTOL aircraft. “Following the momentum generated by our […] The post Bristol’s electric ‘air taxi’ developer Vertical Aerospace secures €86.6 million in financing commitments appeared first on EU-Startups .
- 2027 BYD Seal 06 Comes with Lidar
A BYD video of its new 2027 Seal 06 shows that the car comes with lidar integrated into the roof/windshield of the vehicle. The car, which comes as both a pure electric model and a plug-in hybrid, has BYD’s God’s Eye B ADAS. That’s an upgrade from the 2026 BYD ... [continued] The post 2027 BYD Seal 06 Comes with Lidar appeared first on CleanTechnica .
- The UK's former head AI safety scientist on how to solve alignment before superintelligence arrives | Geoffrey Irving
When should governments slow the race toward superintelligence? According to Geoffrey Irving , the careful answer is sometime in the past. The useful answer is now. Geoffrey — formerly a safety researcher at OpenAI and Google DeepMind and chief scientist at the UK AI Security Institute — expects full-blown superintelligence in roughly two to three years. *** Want to work with Geoffrey to help align superintelligence? Resolution is hiring! https://80k.info/work-at-resolution *** The leading AI companies all have broadly similar plans for keeping superintelligence under control: Train models to have good character Use increasingly capable AIs to supervise other AIs Monitor them closely for signs of deception or scheming Geoffrey thinks that combination could work. The alarming part is that nobody has a strong argument that it will . He expects a crucial “phase shift” as models move beyond human intelligence: Below that threshold, humans can usually tell whether a model’s work is good and correct its mistakes. Above it, the models themselves will increasingly determine the feedback used to train their successors. In this episode, Geoffrey and new host Tom Reed explore what might go wrong with the companies’ plans; why Geoffrey’s new nonprofit, Resolution , is pursuing a portfolio of neglected research bets; and whether governments should slow AI development while we work out which methods can actually be trusted. This episode was recorded on June 29, 2026. Full transcript, video, and links to learn more: https://80k.info/gi Chapters: Cold open (00:00:00) Meet Tom Reed — our newest host! (00:00:32) Who’s Geoffrey Irving? (00:00:59) What misaligned superintelligence will look like (00:01:38) Why are AI companies more optimistic about alignment than Geoffrey? (00:12:30) Why Geoffrey expects superintelligence in 2–3 years (00:28:05) When and how to slow down frontier AI development (00:31:30) Safety researchers can have more impact in governments than companies (00:39:22) How Geoffrey’s new organisation plans to tackle alignment (00:46:55) Post-ASI science: nanotech, solving ageing, and uploaded minds (00:50:29) Why we should expect superintelligence to accelerate scientific progress (01:03:30) Can good character training carry over to superintelligence? (01:11:03) What the field of AI alignment still doesn’t know (01:16:44) Lessons from politics on how to combat power seeking (01:24:36) Solving Pentago and working at Pixar (01:29:22) Geoffrey’s best prediction (01:32:40) Geoffrey’s best bets on which alignment techniques will work (01:37:38) Work with Geoffrey at Resolution (01:43:34) The dangerous asymmetry between capabilities and alignment (01:54:17) Our team is hiring! The 80,000 Hours Podcast aims to help the world safely navigate the transition to transformative AI. Help us make more great episodes as a producer, production coordinator, or special projects associate. https://80k.info/work Our production team includes: Video editors: Josh Alward, Dominic Armstrong, Jasper Luithlen, Milo McGuire, Luke Monsour, and Simon Monsour Producers: Elizabeth Cox and Nick Stockton Coordination and support: Katy Moore and Lou Moran Camera operator: Jeremy Chevillotte Music: CORBIT
- I put ChatGPT on my Ray-Ban Meta glasses — and it completely changed how I used them
I put ChatGPT on my Ray-Ban Meta glasses — and it completely changed how I used them Tom's Guide
Score: 50🌐 MovesAug 11, 2026https://www.tomsguide.com/ai/i-put-chatgpt-on-my-ray-ban-meta-glasses-and-it-completely-changed-how-i-used-them - Snowflake moves enterprise AI beyond fragmented data pipelines
Data interoperability is quickly becoming a practical requirement for companies trying to move artificial intelligence into production. Picking the right model or adding computing capacity is only part of the job. Companies also need reliable data that carries the right business meaning and remains protected as it moves between systems. Snowflake Inc. is building its […] The post Snowflake moves enterprise AI beyond fragmented data pipelines appeared first on SiliconANGLE .
Score: 50🌐 MovesAug 11, 2026https://siliconangle.com/2026/08/11/data-interoperability-ai-pipelines-awsmarketplaceseries/ - NUS makes AI courses compulsory, gives all students and staff free ChatGPT Edu access
NUS makes AI courses compulsory, gives all students and staff free ChatGPT Edu access The Straits Times
- China bets on AI weather forecasting as extreme weather intensifies
China bets on AI weather forecasting as extreme weather intensifies Reuters
- Assessing the Energy Potential of Artificial Intelligence Data Center Sites
This brief describes a framework designed to assess possible data center sites for their energy potential. The framework is intended to serve as an energy-potential screening tool for planners, policymakers, and developers.
- OpenAI’s CFO insists AI won’t replace judgment
OpenAI’s CFO insists AI won’t replace judgment Fortune
Score: 49🌐 MovesAug 11, 2026https://fortune.com/2026/08/11/openai-cfo-insists-ai-wont-replace-judgment/ - Fermi Finally Gets an AI Tenant for Its Data-Center Site and the Stock Is Soaring
Fermi Finally Gets an AI Tenant for Its Data-Center Site and the Stock Is Soaring Barron's
Score: 49🌐 MovesAug 11, 2026https://www.barrons.com/articles/fermi-stock-ai-data-center-tensorwave-3da14830 - AI’s potential climate benefits outweighed by role in boosting fossil fuels, study finds
Modelling finds AI-driven productivity gains in coal, oil and gas enable more emissions than applications in renewables avoid AI-driven productivity gains enable more planet-heating pollution from fossil fuels than they avoid from renewables, a study has found. Researchers modelled the technical potential for AI to boost clean power generation along with projections for how it can help produce coal, oil and gas. Across 64 scenarios, they found net yearly carbon pollution rose by 0.47-1.8 gigatonnes, or about 1-5% of the energy sector’s annual emissions. Continue reading...
- The AI Budget Hangover: Why Banks Need Forward Deployed Engineers
The next phase of AI in banking will be defined by who turns intelligent models into measurable improvements in real banking workflows.
- A New Trick Reveals AI Models’ Inner Thoughts
Researchers devised a way to extract “reasoning traces” from Claude, GPT, and Gemini. What they found, they say, indicates that some Chinese AI may be trained on leading US models.
Score: 49🌐 MovesAug 11, 2026https://www.wired.com/story/a-new-trick-reveals-ai-models-inner-thoughts/ - Nvidia’s New AI Plan Could Make the Stock Riskier. Cathie Wood Is Piling In.
Nvidia’s New AI Plan Could Make the Stock Riskier. Cathie Wood Is Piling In. Barron's
Score: 48🌐 MovesAug 11, 2026https://www.barrons.com/articles/nvidia-stock-price-cathie-wood-4679125b - Mapping the AI economy
AI companies are undergoing rapid global expansion while achieving unprecedented rates of growth. We analyzed Stripe data to understand where global demand is the strongest, and how companies can build to best capture that demand.
- Sonos Plans September Launch Event and Deeper Push Into Home AI
Sonos chief executive Tom Conrad says model quality will converge and the advantage will sit with hardware that already knows a home. An FCC filing names the first product of that push, the Ace Ultra headphones, expected at a September launch event. Sonos is betting that the value of AI in the home sits in […] This story continues at The Next Web
Score: 48🌐 MovesAug 11, 2026https://thenextweb.com/news/sonos-plans-september-launch-event-and-deeper-push-into-home-ai - Ukraine hits Russian Crimea targets with unmanned ship carrying FPV drones
Ukraine used a MAGURA unmanned vessel to carry FPV drones against Russian radar installations while expanding its broader drone production ambitions.
Score: 48🌐 MovesAug 11, 2026https://www.techradar.com/pro/ukraine-hits-russian-crimea-targets-with-unmanned-ship-carrying-fpv-drones - Li Auto Expects Second-Generation AI Glasses in H2 2027
Li Auto expects the second generation of its Livis AI glasses to arrive in the second half of 2027. The company is evaluating lens-based display technologies with Zeiss and is also developing native compatibility with HarmonyOS. Li Auto said the Livis product line is expected to support more vehicle models over time. The AI glasses […]
Score: 48🌐 MovesAug 11, 2026https://technode.com/2026/08/11/li-auto-expects-second-generation-ai-glasses-in-h2-2027/ - High AI stakes push Indian VCs to rejig funding playbooks
Average investments in AI startups have increased to $3-5 million at the seed level and upwards of $10 million in Series A rounds, said investors. For other startups, it is $2-4 million at the seed stage and $5-8 million in Series A.
- Security leaders are stuck in decision paralysis over AI-enabled cyberattacks
Many security leaders at major companies, flush with expanded budgets to fend off AI-powered cyberattacks , are experiencing a level of decision fatigue that's freezing them in their tracks. Why it matters: Those leaders are still trying to size up how autonomous cyberattacks will affect their businesses at a time when they need to be taking bold action and mobilizing quickly, experts told Axios. The big picture: Companies have only a short window before AI models capable of end-to-end autonomous cyberattacks land in the hands of malicious attackers. But four months after Anthropic released Mythos Preview to prepare for what's to come, many companies are still debating where to put their money and which controls to prioritize. State of play: Ever since Anthropic rang the alarm on Mythos' abilities, security leaders have been wrestling with an increasingly complex security and regulatory landscape. OpenAI started rolling out similarly powerful models to vetted cyber defenders, and the release of open-weight models like Kimi K3 and GLM-5.2 has raised fears about hackers' access to cyber-capable AI models. Meanwhile, OpenAI's models colluded to hack Hugging Face, and Anthropic and Meta have shared stories about their models breaching third-party websites during safety tests. Threat level: CrowdStrike observed an 89% surge in attacks using AI to "scale operations, accelerate tradecraft, and directly target AI infrastructure" in the last year, according to its annual threat hunting report. Between the lines: Many companies are struggling to make decisions because security teams are stuck defining their AI governance strategies, including what constitutes AI risk and how they can responsibly deploy the technology, Nicole Carignan, senior vice president of security and AI strategy at Darktrace, told Axios. These leaders are also stuck in a loop of constant education and research, she added, as new capabilities keep emerging from frontier and open-weight model maintainers. Case in point: Evan Peña, co-founder and chief offensive security officer at Armadin, told Axios that he's seeing security leaders who are overwhelmed by the sheer number of products they could invest in to prepare for autonomous cyberattacks. Many executives have been given new budgets and board buy-in and are debating whether to pour that money into attack simulation tools, vulnerability discovery, penetration testing or bug bounties. Sherrod DeGrippo, vice president of threat intelligence at Palo Alto Networks' Unit 42, told Axios that she's heard from companies that are "grappling with all of these questions," including agent permissions, identity, logging and accountability. Reality check: Security leaders don't need to buy into frontier AI labs' promises of a silver bullet for defending against autonomous cyberattacks, Snehal Antani, CEO and co-founder of Horizon3.ai, told Axios. Instead, companies can start by doubling down on the fundamentals, including threat detection, incident response, security assessments and remediation. "The frontier labs are setting the expectation that they have some AI easy button that is going to solve the problem," Antani said. "That does not exist, it is not possible." The bottom line: Organizations have to start acting to shore up their defenses now before they get all of the answers they want about what AI risk looks like. "We've got to figure out how we're going to deal with that," DeGrippo said. "There is work to be done." Go deeper: Companies don't need advanced AI to defend against AI-powered hacks
Score: 48🌐 MovesAug 11, 2026https://www.axios.com/2026/08/11/ai-cybersecurity-hackers-enterprise-software - Agriculture Depart. Taps C3 AI to Trim Salesforce Footprint
Agriculture Depart. Taps C3 AI to Trim Salesforce Footprint theinformation.com
Score: 48🌐 MovesAug 11, 2026https://www.theinformation.com/newsletters/applied-ai/agriculture-depart-taps-c3-ai-trim-salesforce-footprint - Bitter Lessons From The EMR For The AI Experiment
The digitization of medical records, mandated by the HITECH Act of 2009, achieved near-universal adoption but brought substantial unintended consequences.
- CoreWeave Took a Step in the Right Direction, Gil Luria Says
Gil Luria, head of technology research at D.A. Davidson, reacts to CoreWeave topping analysts' estimates for second-quarter sales after signing up more customers in a booming market, with sales more than doubling to $2.58 billion. He speaks on "Bloomberg The Close." (Source: Bloomberg)
Score: 48🌐 MovesAug 11, 2026https://www.bloomberg.com/news/videos/2026-08-11/coreweave-took-a-step-in-the-right-direction-gil-luria-video - How AI is changing the vulnerability response timeline
Artificial intelligence is giving security researchers new ways to examine code, trace unusual behaviour and identify flaws that conventional tools may overlook. The pressure is particularly visible around Zero-day vulnerabilities, a recent Minimus analysis considers how container composition, dependency records and rebuild speed affect the response after an unknown flaw is exposed. Faster analysis helps only […] The post How AI is changing the vulnerability response timeline appeared first on AI News .
Score: 48🌐 MovesAug 11, 2026https://www.artificialintelligence-news.com/news/how-ai-is-changing-the-vulnerability-response-timeline/ - Shutterstock Embraces AI Image Licensing Deals
The stock image provider has deals with OpenAI and Meta. It wants AI to enable its customers to create content that targets their best audience.
Score: 48🌐 MovesAug 11, 2026https://aibusiness.com/generative-ai/shutterstock-embraces-ai-image-licensing-deals - AI is changing cyber threats. Recovery is becoming just as important as prevention
AI is changing cyber threats. Recovery is becoming just as important as prevention YourStory.com
Score: 48🌐 MovesAug 11, 2026https://yourstory.com/2026/08/ai-is-changing-cyber-threats-recovery-is-becoming-just-as-important-as-prevention - Farmer accidentally kills 25 acres of crops after trusting AI advice
AI chatbot suggested a treatment plan that completely destroyed sesame seedlings
Score: 48🌐 MovesAug 11, 2026https://www.independent.co.uk/tech/farmer-crops-killed-ai-advice-china-b3030985.html - AI Could Help Fossil Fuel Companies Create More Emissions
New research finds that by making the fossil fuel industry more productive, AI could help increase carbon emissions by up to nearly 5 percent—vastly outpacing the impact of data centers.
Score: 47🌐 MovesAug 11, 2026https://www.wired.com/story/ai-could-help-fossil-fuel-companies-create-more-emissions/ - Target Hires First Chief AI Officer in Retail’s Latest Tech Push
The retailer said it would bring on two executives to focus on AI and user experience capabilities, a crucial element of its plan to recover from sluggish performance.
- With a feel for physics, AI models simulate a wider range of real-world scenarios
Artificial intelligence models are jacks of many trades, including writing, generating images, and creating 3D models. But they aren't as helpful when it comes to testing robots or designs for vehicles in diverse environments, since they don't understand physics as well as they do pixels or text.
Score: 47🌐 MovesAug 11, 2026https://techxplore.com/news/2026-08-physics-ai-simulate-wider-range.html - Agentic AI and the future of global business services
Agentic AI is reshaping global business services, but realizing its potential will require leaders to rethink workflows, talent, and operating models.
- "But marinade" and leaked passwords are what researchers found in ChatGPT's hidden reasoning
Security researchers found a vulnerability in the APIs of OpenAI, Anthropic, and Google that lets them extract encrypted reasoning traces and move them between models. A scan of public sessions turned up dozens of passwords and API keys. The traces also show that the reasoning summaries users see often hide what the models are actually doing. The article "But marinade" and leaked passwords are what researchers found in ChatGPT's hidden reasoning appeared first on The Decoder .
- AI Is Reshaping Workers Before, During And After The Job
AI is reshaping work before, during and after hiring, changing the skills workers need, the leverage they have and how they navigate employment.
Score: 45🌐 MovesAug 11, 2026https://www.forbes.com/sites/ronschmelzer/2026/08/11/ai-is-reshaping-workers-before-during-and-after-the-job/ - Athena Capital Sees Opportunities in AI Infrastructure
Isabelle Freidheim, Founder and Managing Partner at Athena Capital, discusses investment opportunities in the AI sector, emphasizing that much of the AI model layer has already been built, funded, and repriced outside public markets. She explains that current public market activity around AI models largely represents liquidity events rather than new capital raising. Freidheim highlights that the real growth potential lies in companies involved in deploying AI infrastructure, which will provide investors with earlier and cleaner exposure to AI's expansion phase, as infrastructure names come to market over the next few years. This approach contrasts with investing in areas that are already fully priced, such as the AI model layer itself. (Source: Bloomberg)
Score: 45🌐 MovesAug 11, 2026https://www.bloomberg.com/news/videos/2026-08-11/athena-capital-sees-opportunities-in-ai-infrastructure-video - The Download: the next big thing in LLMs and how AI academic research is shifting
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. These startups are chasing the next big thing in LLMs Nine years after Google researchers introduced the transformer, this family of neural networks has become the engine inside every major large…
- OpenWALDO launches to build collaborative community for open-source AI
OpenWALDO, a new open-source artificial intelligence project sponsored by Ctrl IQ Inc., launched today, led by Gregory Kutzer, the founder of Rocky Linux, CentOS and Apptainer. The project aims to build a community-led, open-source-governed corpus of AI training data. It will provide a space similar to Hugging Face Inc., which primarily distributes open-weight models, where […] The post OpenWALDO launches to build collaborative community for open-source AI appeared first on SiliconANGLE .
Score: 45🌐 MovesAug 11, 2026https://siliconangle.com/2026/08/11/openwaldo-launches-build-collaborative-community-open-source-ai/ - Alibaba says modular design delivers AI data centres in 100 days at 10% lower cost
As demand for artificial intelligence infrastructure surges, Alibaba Group Holding says it can deliver new data centres in a fraction of the usual time while cutting construction costs by 10 per cent through its proprietary modular architecture. Using CUBE 5.0, Alibaba Cloud had slashed the delivery time for large-scale AI data centres to just 100 days, according to a report by state-backed newspaper China Securities Journal on Tuesday. That compared with standard domestic delivery times of six...
- Why Scaling AI Compute Performance Requires a New Power Architecture
Every new generation of accelerated computing demands more from the infrastructure underneath it — more compute performance, higher rack density and more efficient, scalable power distribution. The bottleneck isn’t just wattage. It’s how power gets from the grid to the GPU. In traditional power delivery, electricity travels from the grid as an alternating current (AC) […]
- Navigating the AI data center capacity crisis
Navigating the AI data center capacity crisis InfoWorld
Score: 45🌐 MovesAug 11, 2026https://www.infoworld.com/article/4207475/navigating-the-ai-data-center-capacity-crisis.html - UK Navy forced to strip out internet connectivity from drones after finding it sent 'heartbeat communications' to China
British Navy drones fitted with Chinese-made camera parts were found secretly sending signals back to China, prompting sovereignty concerns.
- Crypto impersonation scams grew 1,400% as AI supercharged fraud
Impersonation scams grew more than 1,400% year over year in 2025, according to Chainalysis, with the average payment into those clusters rising more than 600%. Across all scam categories the average crypto payment climbed from $782 to $2,764. An attack class does not scale like that because more people are running it. It scales because […] This story continues at The Next Web
Score: 45🌐 MovesAug 11, 2026https://thenextweb.com/news/crypto-impersonation-scams-1400-percent-ai-deepfake-fraud