AI News Archive: August 3, 2026 — Part 2
Sourced from 500+ daily AI sources, scored by relevance.
- Former OpenAI exec Fidji Simo’s health care company has analyzed 3,500 vials of blood with AI
Former OpenAI exec Fidji Simo’s health care company has analyzed 3,500 vials of blood with AI Fortune
Score: 68🌐 MovesAug 3, 2026https://fortune.com/2026/08/03/fidji-simo-discusses-pots-diseases-chroniclebio-ai-startup-openai/ - US House panel seeks briefing on OpenAI's AI agent security breach
US House panel seeks briefing on OpenAI's AI agent security breach Reuters
- Alibaba's new Qwen model is also taking your job, but this time it's great
Alibaba is marketing its new AI model Qwen 3.8 with a video that shows the AI working while a person enjoys their hobbies. It's a deliberate contrast to the job loss warnings from OpenAI and Anthropic. Of course, it's still just marketing. The article Alibaba's new Qwen model is also taking your job, but this time it's great appeared first on The Decoder .
Score: 68🤖 ModelsAug 3, 2026https://the-decoder.com/alibabas-new-qwen-model-is-also-taking-your-job-but-this-time-its-great/ - EU in talks with OpenAI, Anthropic after rogue AI agent hacking incidents
Europe's AI Act, which kicks in on August 2, is the first legislation in the world to regulate a technology used in almost all sectors of businesses and society
- Anthropic reveals Claude AI model hacked three companies during tests — so how worried should we be?
Anthropic's testing mishap proves autonomous AI can breach enterprise networks at machine speed. The era of human-speed security is over - it takes an AI to stop an AI.
- MiniMax Desperately Swimming Past the Kill Line: Open-Source H3 Between Kimi K3 Performance Ceiling and DeepSeek Price Floor, With R&D Spending Triple Revenue
MiniMax H3 open-source release comes as Kimi K3 raises the performance bar and DeepSeek V4-Flash crushes prices, while MiniMax 2025 financials show 253M R&D against 79M revenue.
- Ant Group’s embodied AI arm Robbyant kicks off external funding
Robbyant, the embodied artificial intelligence division of Ant Group, has begun seeking external funding, becoming the fourth unit of the fintech giant to step up capital-raising efforts. The unit said it was in talks with investors on Monday. As Ant Group’s “core initiative in embodied intelligence”, a Robbyant spokesperson said it would remain focused on developing a general-purpose “robot brain”, investing in technologies designed specifically for embodied AI and accelerating commercial...
- Heavy Siri AI usage could cost more than we expected, given Cook’s comment
What seems like a deliberately vague comment by outgoing Apple CEO Tim Cook during the earnings call suggests that heavy Siri AI usage could be more expensive than we’ve so far expected. While it had always seemed clear that we wouldn’t be able to make unlimited use of Siri AI without paying for it in some way, Cook’s remarks do appear to point to some bad news …
Score: 66🌐 MovesAug 3, 2026https://9to5mac.com/2026/08/03/heavy-siri-ai-usage-could-cost-more-than-we-expected-given-cooks-comment/ - 4 Things To Know About Minimax H3
MiniMax H3 is an open-weight AI video generator using multimodal reasoning, contextual regeneration, and advanced architecture.
Score: 65🤖 ModelsAug 3, 2026https://www.forbes.com/sites/johnwerner/2026/08/03/4-things-to-know-about-minimax-h3/ - White House finalizes AI framework behind closed doors
The White House said on Monday it met its deadline to establish a voluntary framework for evaluating advanced AI models — but it won't say what the framework contains, who's seen it or when companies will start using it. Why it matters: The framework is being closely watched beyond the industry players it directly applies to. Policymakers, AI safety advocates, and U.S. allies have been waiting to see what the rules for the most powerful models in the world look like. What they're saying: "The voluntary framework outlined in the June 2nd executive order was complete by the deadline," a White House official said. "Discussions with industry about next steps are underway," the official said, adding that the administration is engaging with "many more" industry partners than just Anthropic, OpenAI and Google. Leading up to the deadline, the three labs gave the administration feedback on a draft of the framework. What's inside: The framework is meant to give AI developers a structure for engaging the government to determine whether models under development would be covered. The framework is supposed to spell out the confidentiality, cybersecurity, insider-risk, intellectual-property protection use and nondisclosure requirements that would apply when the government gets access to models for up to 30 days before they're released. The framework should also include which "trusted partners" will also have early access to models. Zoom in: The executive order explicitly says the benchmarking process to assess advanced cyber capabilities of AI models will be classified. The threshold for which models are covered under the order is also classified and will only be shared with AI developers and researchers "as appropriate." The order does not similarly designate the voluntary framework as classified, and policymakers and other observers expected to see details. Between the lines: Companies are seeking clarity early so they know whether models under development are likely to fall under the framework. "Just because things are unclassified that doesn't mean we are going to broadcast them to everyone," the White House official said. What's next: The White House will hold a staff-level meeting with companies on Tuesday to review the framework, a source familiar said.
Score: 65🌐 MovesAug 3, 2026https://www.axios.com/2026/08/03/white-house-finalizes-ai-framework-behind-closed-doors - Beyond representational alignment with brain-guided language models for robust reasoning
Nature Machine Intelligence, Published online: 03 August 2026; doi:10.1038/s42256-026-01278-w Xiao et al. show that large language models partially align with human brain activity during deductive reasoning. They further show that brain signals can directly guide and improve model performance, with transfer across reasoning types.
- Amazon enters $3 trillion club as AI, cloud growth power rally
Amazon enters $3 trillion club as AI, cloud growth power rally Reuters
- Abu Dhabi's Aleria to deploy sovereign AI, bringing up to 16,000 Nvidia chips to US
Abu Dhabi's Aleria to deploy sovereign AI, bringing up to 16,000 Nvidia chips to US
- Google Earth Disables A.I. Tool After One Day Over Disinformation Concerns
A new Google Earth tool allowed the creation of A.I. deepfake maps. The company quickly pulled it back after users noted there were no safeguards to prevent content that could be harmful.
Score: 65🌐 MovesAug 3, 2026https://www.nytimes.com/2026/08/02/technology/google-earth-ai-satellite-images.html - Potential US ban on Chinese AI models could cost American businesses US$12b a year: report
A potential US ban on Chinese open-weight artificial intelligence (AI) models could cost American businesses up to US$12 billion per year, according to calculations by a US-based academic, as technology firms increasingly turn to cost-efficient Chinese solutions. While the exact economic toll of a ban remains difficult to quantify, usage data from New York-based OpenRouter – a large language model (LLM) aggregator – offers a glimpse into the potential fallout, said Daniel Yue, an assistant...
- Chime lays off workers a year after IPO because ‘AI is changing what’s possible’
“AI is changing what’s possible but requires new skills,” Chime CEO Chris Britt told employees in a memo discussing the company's layoffs.
- The White House is fixated on China copying U.S. AI. Experts say that’s the wrong threat
Ask most people about the biggest concern in AI right now, and they’ll likely point to models from OpenAI and Anthropic breaking out of the boundaries of their tests and trying to access systems they shouldn’t. Following the brouhaha over an unreleased OpenAI model breaching the defenses of the AI model-hosting platform Hugging Face, Anthropic revealed on July 31 that two of its models had hacked into three organizations without permission. As Fast Company has reported, current and former technology officials are worried about whether federal cyberdefenses are ready for the artificial intelligence onslaught. But ask the White House, and you’ll get a different answer about what is vexing officials: the distillation of U.S. AI models by Chinese companies. Michael Kratsios, director of the White House Office of Science and Technology Policy (OSTP), alleged on X in late July that Moonshot, the company behind the Kimi K3 model that so spooked Washington when it was released earlier this month, “developed a sophisticated internal platform to conduct large scale distillation against U.S. models.” We have information that Moonshot AI distilled Anthropic’s Fable for the development of its K3 model. To do this they developed a sophisticated internal platform to conduct large scale distillation against U.S. models, allowing them to quickly switch between multiple methods of… — Director Michael Kratsios (@mkratsios47) July 22, 2026 Kratsios did not provide evidence to back up those claims, and the OSTP did not respond to Fast Company ’s request for comment. That framing rests on a contested understanding of what distillation actually is, and when it crosses the line from routine industry practice into something more aggressive. “Distillation is a standard practice,” says Nathan Lambert, founder of the posttraining research team at the Allen Institute for AI and author of the Interconnects newsletter. The dispute, he argues, has become muddled because AI companies have failed to distinguish routine model development from what he calls “adversarial distillation.” Under this definition, adversarial distillation can include attempts to bypass standard rules for application program interfaces (API), manipulate a model into revealing information it was not meant to provide, or conceal the identity and purpose of an organization making vast numbers of requests. Anything less amounts to paying for access to a generally available model and learning from its outputs, something many AI labs already do, including those in the West. (Elon Musk admitted in court earlier this year that xAI has distilled OpenAI models, saying it is common practice.) “Just using the API as it’s provided as a service that you pay for is just fine,” Lambert says. Lambert also says the publicly available evidence does not establish that Chinese companies have conducted distillation on the industrial scale alleged by U.S. officials, or that it has played a decisive role in closing the gap between Chinese and American laboratories. He acknowledges that officials could have received classified briefings about conduct that has not been disclosed publicly. Distillation may also be becoming less important as developers rely more heavily on reinforcement learning and other forms of posttraining. That makes the political attention paid to the practice notable, according to experts who see the White House’s focus as part of a broader attempt to contain Chinese advances. “It speaks to looking for a containment strategy and running out of things that can be effectively used,” says Kristy Loke, a fellow at the MATS AI safety research program, who researches China’s AI strategy and global AI governance. In Loke’s view, distillation offers U.S. officials a way to frame China’s progress as dependent on American technology rather than as evidence that Chinese labs are developing competitive methods of their own. The debate is therefore less about one technical practice than about protecting the advantages held by leading U.S. companies. Yacine Jernite, machine learning and society lead at Hugging Face, sees a similar narrative at work. Portraying Chinese progress primarily as the result of distillation, Jernite argues, reinforces the idea that the handful of dominant U.S. labs have discovered the only credible path to developing advanced AI. “The strongest narrative purpose of putting all of those gains on distillation is to say that there are no other ways of building performance AI than what those companies are doing,” Jernite says. That framing casts competing approaches, whether developed abroad or within the United States, as derivative or illegitimate. And it strengthens the position of the companies seeking government protection from emerging rivals. Lambert at the Allen Institute describes that prospect as a form of regulatory capture. He argues that government intervention against a widespread industry practice would protect incumbent companies for competitive reasons rather than address a clearly demonstrated security threat. The political focus also exaggerates the ease of turning an open-weight model into a dangerous cyberweapon . Downloading a model, removing its safeguards, and obtaining capabilities comparable to the most advanced closed systems can require millions of dollars in computing resources and access to cloud capacity that most people cannot afford. The more immediate concern, Lambert argues, is the increasingly autonomous behavior of the most powerful models being developed by U.S. companies. “I feel like they should care more about AI security than distillation,” Lambert says. Distillation concerns the spread of existing technology, he notes, while the U.S. has done relatively little to monitor the new capabilities and risks appearing at the frontier. Policymakers are responding aggressively to a chain of possible future harms from copying U.S. models, Lambert adds, even as the country’s leading AI companies produce stronger systems whose risks are already beginning to emerge. “The next models are coming; they will keep getting stronger,” he says. “It’s a very competitive environment, and the open-weight risks haven’t materialized yet.”
- Amazon enters $3 trillion club as AI optimism sweeps through Wall Street
Amazon achieved a three trillion dollar market capitalisation for the first time. This milestone places the company among Wall Street's top giants. Renewed artificial intelligence optimism significantly boosted technology stocks to new highs. Amazon's shares saw a notable increase, reaching a record high. The company's yearly gains have now reached seventeen point five percent.
- AI identifies previously unrecognized health insights in routine sleep studies
AI identifies previously unrecognized health insights in routine sleep studies EurekAlert!
- Cisco exec testifies at US Senate panel on AI’s network impact
AI is profoundly changing enterprise and service provider networks, and operators must evolve to support AI workloads, according to a Cisco executive who testified last week at a US Senate subcommitee meeting. Bob Everson , chief architect of provider mobility with Cisco, spoke before the Subcommittee on Telecommunications and Media, which falls under the U.S. Senate Committee on Commerce, Science, and Transportation. Everson shared Cisco’s perspective on the status of AI and focused on two core questions: How is AI reshaping our networks, and how can networks leverage the power of AI? The July 30 hearing, titled “Intelligent Networks: Powering Artificial Intelligence and Transforming Communications,” was planned to explore how the rapid adoption of AI has impacted network infrastructure. “We will explore how widespread AI use has forced networks to evolve, requiring more capacity and more complex designs so that AI can run efficiently on those networks,” said U.S. Senator Deb Fischer (R-Neb), Chairman of the Senate Commerce Subcommittee on Telecommunications and Media, in her opening statement . “We will consider how government, providers, and other industries are responding to that demand. Private companies have invested hundreds of billions of dollars in network deployment in recent years. Various federal broadband programs have also provided billions to support targeted network deployment and maintenance throughout the country.” Others who testified came from organizations including U.S. Telecom, Vanderbilt University, and Nebraska Public Service Commission. “AI is changing not only the volume of network traffic, but the behavior. Cisco measured a fourfold increase in AI inference traffic over eight months. Networks have traditionally been optimized for content flowing downstream. AI is far more two-way and uplink-intensive: prompts, context, sensor data, and agent activity all travel back toward AI models, and the resulting connections are active longer than conventional web transactions,” said Everson. “AI agents amplify these effects by operating at software speed. In our testing, an agent generated 450 percent more traffic than a person performing the same task, and roughly 70 percent of that additional traffic was inference.” “In campus and branch networks—like the one that powers the Senate office building we are sitting in today—we have already seen customers report a 34% increase in traffic tied to AI workloads over the last 12 months, and they expect to see a 96% increase this coming year,” Everson said. “Half of enterprise customers report that AI demand is concentrated on their Wi-Fi networks, and 73% of organizations already face or expect to face campus and branch capacity limitations within the next 24 months. This is largely because large majorities of organizations report increases in east-west traffic, latency-sensitive traffic, and continuous, automated AI traffic. While the large majority of AI to date has come from foundation models running on central infrastructure, we are seeing enterprises deploy more small language models, open-source models, and specialized models—such as vision and voice models—which can be distributed throughout the network. Each of these characteristics underscores the value of the FCC’s forward-thinking decision in 2020 to authorize the full 6 GHz band for unlicensed Wi-Fi use,” Everson said. In his prepared remarks, Everson cited a number of areas that are impacted by AI, including: Infrastructure : AI is driving the shift toward edge computing. Service providers must also consider “AI-native” traffic profiles for several reasons, including technical considerations, cost, and data sovereignty and security issues. Technical : Physical AI use cases such as robotics, autonomous vehicles, and industrial automation could require sub-millisecond decision-making. If an autonomous robot sends data to a central cloud and has to wait for a response, the round-trip latency could be too high for safe, real-time operation. Cost : AI operations generate massive amounts of data. For example, high-definition video analytics for public safety can generate terabytes of data daily. Backhauling that data to a central cloud is prohibitively expensive and creates massive network congestion. Data sovereignty and security : Enterprises and governments are increasingly concerned about data sovereignty and security. Many customers have security or regulatory concerns about moving sensitive information across the public internet to a third-party cloud provider. Potential benefits of AI-driven networks Networks will leverage AI for increased performance and resiliency, Everson stated. “While AI workloads present several challenges for network operators seeking to ensure seamless performance, reliability, and security, there is a tremendous opportunity to leverage AI to deliver new applications and better performance, infuse security into the fabric of the network, and manage the increased complexity,” Everson said. “Agentic AI will change the nature of traffic on the network, but it will also provide network operators new tools to operate at machine speed and deliver greater performance, efficiency, and security.” AgenticOps also lets the network act as a self-healing system, Everson said. “Cisco’s AI-native tools enable the network to reroute traffic, adjust capacity, or reconfigure network nodes when the system detects performance degradation or an impending hardware failure. This dramatically increases uptime and reliability for mission-critical services,” Everson said. One of the most significant challenges for network operators is the talent gap in managing increasingly complex, software-defined networks, Everson said. “AgenticOps allows operators to automate repetitive, low-value tasks—such as ticket resolution, configuration updates, and routine maintenance. These tools also help close the workforce talent gap by lowering the barrier. to entry and allowing more junior analysts to ramp up quickly,” Everson said. “By automating these tasks, Cisco’s AI-enabled platforms can free network engineers to focus on higher-level architectural strategy and innovation, and free cybersecurity analysts to dedicate more time to strategic threat hunting and detection engineering.” In addition to changes in traffic patterns, networks are moving toward AI-native platforms that will become the fabric of intelligent connectivity rather than a simple pipe. As network operators move compute toward the network edge—such as at a cell site where a tower sits—they will be able to run applications directly from the network, Everson said. “One promising application is Integrated Sensing and Communication (ISAC), which combines wireless communications and radio-frequency sensing to “see” objects’ position and path using radio waves that reflect off them. Unlike optical sensors, it can detect intrusion even in low-light conditions, through smoke, or around obstructions where traditional video analytics might fail,” Everson said. “This technology has been prototyped and demonstrated already, and it holds great promise for autonomous systems and robotics, AI-driven smart facilities, and public safety.” In closing, Everson offered three suggestions for the committee to act on in the future: Accelerate the U.S. AI-native stack. Cisco is investing across multiple dimensions of AI native networking, bringing new capabilities to 5G-Advanced today while building the foundation for 6G. One example of this commitment is AI-WIN—a collaboration among Cisco, NVIDIA, MITRE, Orion Development Company, Booz Allen, and T-Mobile—which brings AI, compute, and wireless together to create a secure, American-led path from 5G-Advanced to AI native 6G. “I encourage Congress to lean in on areas where the United States has a strategic leadership role, such as compute, core networking, and applications,” Everson stated. Modernize permitting and infrastructure. As computing becomes more distributed, permitting must enable rapid and responsible deployment. As this Committee considers the future of the Universal Service Fund, it should account for the evolving costs of AI-ready networks so rural and urban communities can share in the benefits, he stated. Maintain a balanced spectrum policy. The 800 megahertz of licensed spectrum recently made available by Congress is essential to high-capacity, high-uplink connectivity. The FCC’s authorization of the 6 gigahertz band for unlicensed use is equally important to meeting enterprise demand. “A dependable pipeline of both is foundational to American leadership, and I thank you for your efforts to rebuild it.”
- Orchard: An open framework for scalable agentic AI
Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same infrastructure. The post Orchard: An open framework for scalable agentic AI appeared first on Microsoft Research .
Score: 62🌐 MovesAug 3, 2026https://www.microsoft.com/en-us/research/blog/orchard-an-open-framework-for-scalable-agentic-ai/ - Anthropic brings Claude in-country inference to India via AWS cloud
Claude AI models will soon be available with in-country inference through Amazon Bedrock, enabling enterprises and government agencies to keep data within India
- Anthropic's Claude to infer, process data locally on Indian servers for local customers
Anthropic will offer its Claude AI service to Indian customers through local Amazon Web Services servers. This move addresses a key demand from Indian organisations for in-country data processing capabilities. Claude's availability within India marks a significant step for enterprise AI adoption across various sectors. Indian IT leaders are integrating Claude into their global service deliveries and talent development programs.
- Anthropic Brings Claude Inference To India As Sovereign AI Race Heats Up
Anthropic is bringing in-country inference for its AI platform Claude to India via Amazon Bedrock, AWS’ managed service for building…
Score: 62🌐 MovesAug 3, 2026https://inc42.com/buzz/anthropic-brings-claude-inference-to-india-as-sovereign-ai-race-heats-up/ - Chinese military-linked researchers tap OpenAI and Anthropic models to train local AI via distillation: Report
A Reuters review found Chinese military-affiliated institutions using “model distillation” to extract capabilities from advanced US AI systems into smaller, locally deployable models for defence use.
- Public interest coalition urges Congress to investigate OpenAI, Hugging Face hack
The group of public interest and left-leaning organizations urged Congress to open an investigation into an OpenAI model that went rogue. The post Public interest coalition urges Congress to investigate OpenAI, Hugging Face hack appeared first on FedScoop .
Score: 62🌐 MovesAug 3, 2026https://fedscoop.com/public-interest-coalition-urges-congress-investigate-openai-hugging-face-hack/ - Alibaba's New Model, Amazon's AI Win and Apple's Next Chapter | Bloomberg Tech 8/3/2026
Bloomberg’s Ed Ludlow breaks down Alibaba's latest Qwen model, its biggest ever, claiming performance on par with Anthropic. Plus, AWS CEO Matt Garman joins after Amazon surpassed $3 trillion in market value for the first time, extending gains after a big cloud and AI-driven earnings report last week. And, we dive into the details of the new Apple Upgrade program and iPhone-maker's next era of growth as the company reinvents itself as a subscription giant. (Source: Bloomberg)
Score: 62🤖 ModelsAug 3, 2026https://www.bloomberg.com/news/videos/2026-08-03/bloomberg-tech-8-3-2026-video - Google's AI search is changing who gets web traffic
Google's AI search is changing who gets web traffic marketplace.org
Score: 62🌐 MovesAug 3, 2026https://www.marketplace.org/story/2026/08/03/googles-ai-search-is-changing-who-gets-web-traffic - This self-programming AI system takes humans out of the programming equation
Remote mountains or deserts far from cities are notorious for being off the cellular grid. But in the near future, cellphones could work in those places. In addition, cars could get you out of traffic jams faster by connecting to sensors placed around the city that alert drivers to trouble on the road. That could be thanks, in part, to a new way of thinking about and writing code using an agentic artificial intelligence framework developed at Northeastern University.
- UK regulator says it is monitoring developments after rogue AI agent hacks
UK regulator says it is monitoring developments after rogue AI agent hacks Reuters
- The Economics of AI Counterproliferation
Once an artificial intelligence (AI) capability has been demonstrated at the frontier, the cost of reproducing it tends to fall. A new RAND economic framework shows the implications for governance regimes of AI capabilities and for policy and strategy.
- Google Tests Twice-Weekly Chrome Security Updates as AI Finds More Vulnerabilities
Google is testing twice-weekly Chrome security updates as AI tools uncover more vulnerabilities and the company works to shrink the browser’s patch gap. The post Google Tests Twice-Weekly Chrome Security Updates as AI Finds More Vulnerabilities appeared first on TechRepublic .
Score: 60🌐 MovesAug 3, 2026https://www.techrepublic.com/article/news-google-chrome-twice-weekly-security-updates/ - Report claims China is distilling U.S. frontier models to power military AI applications
An exclusive report by Reuters today has surfaced evidence that suggests Chinese artificial intelligence firms have been leveraging the outputs of American frontier models developed by OpenAI Group PBC and Anthropic PBC to train their own AI systems for defense applications. The review by Reuters included a detailed examination of more than 80 academic papers […] The post Report claims China is distilling U.S. frontier models to power military AI applications appeared first on SiliconANGLE .
- Breakingviews - Big Tech’s circular AI trade grows too big to veil
Breakingviews - Big Tech’s circular AI trade grows too big to veil Reuters
Score: 60🌐 MovesAug 3, 2026https://www.reuters.com/commentary/breakingviews/big-techs-circular-ai-trade-grows-too-big-veil-2026-08-03/ - AI is both a cyber weapon and a massive target, CrowdStrike warns
The same AI tools triggering suspicious alerts are being attacked by cybercriminals in droves.
Score: 60🌐 MovesAug 3, 2026https://www.zdnet.com/article/ai-is-cyber-weapon-and-massive-target-crowdstrike-warns/ - A DeepMind exec finally said what the trillion-dollar AI spend is for: machines that improve themselves.
Everyone has been asking what the trillion-dollar AI buildout is actually for. A senior Google DeepMind executive has now given an unusually blunt answer. The spending, he says, is a bet on machines that improve themselves. Jasjeet Sekhon, DeepMind’s chief strategy officer, made the case at a summit at UC Berkeley. Recursive self-improvement, or RSI, […] This story continues at The Next Web
Score: 60🌐 MovesAug 3, 2026https://thenextweb.com/news/deepmind-sekhon-ai-capex-recursive-self-improvement-rsi - Your agent needs a computer, not a container — introducing @cloudflare/computer
Agents need more than just a container to scale. We're introducing @cloudflare/computer, an agent runtime that dynamically orchestrates between fast, efficient isolates and full Linux containers to give every agent a computer of its own.
- Britain says it is open to AI regulation if voluntary safeguards fall short
Britain says it is open to AI regulation if voluntary safeguards fall short Reuters
- Why Investors See More Payoff in Microsoft’s AI Spending Than Meta’s
Microsoft and Meta are both pouring billions into AI infrastructure, but investors are rewarding Microsoft’s clearer links between spending, cloud revenue, paid Copilot adoption, and contracted demand. The post Why Investors See More Payoff in Microsoft’s AI Spending Than Meta’s appeared first on TechRepublic .
- AI is starting to rewrite the software that made Nvidia untouchable
AI is starting to rewrite the software that made Nvidia untouchable Business Insider
Score: 58🌐 MovesAug 3, 2026https://www.businessinsider.com/nvidia-cuda-new-threats-ai-coding-agents-2026-8 - As Larry Ellison bets the farm, Oracle says it loves AI-written code, just not in OpenJDK
Use it to debug and review, says Big Red, but don't submit its output
- A record-breaking eight Pulitzer awardees disclosed AI use this year
A translation of a mass shooter’s cryptic journal in the days after an attack. A public records review that revealed failures to install flood warning systems in Central Texas. An exposé of American technology companies’ complicity in building the Chinese surveillance state. An audit of the SEC’s crypto lawsuits that showed weakening enforcement under the...
Score: 58🌐 MovesAug 3, 2026https://www.niemanlab.org/2026/08/a-record-breaking-eight-pulitzer-awardees-disclosed-ai-use-this-year/ - AI models atom movement to predict solid-state reaction pathways, including impurities, in minutes
A research team at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has successfully demonstrated an AI modeling approach that accurately and rapidly predicts how reactions between solid materials unfold over time. It is the first predictive model that accounts for how atoms travel through materials during solid-state reactions. Importantly, its predictions provide practical insights into the best recipes for making advanced materials.
- Walden Robotics Partners With Toyota on Practical Humanoids
The company aims to create physical AI tools for human workers
- China's WeRide enters Denmark, extending European footprint
Europe has emerged as a key growth market for China's autonomous driving companies, following an earlier push into the Gulf region, as they seek to commercialise their technology beyond their home market amid intensifying competition and regulatory scrutiny.
- Chinese Actor Weaponizes Deepseek AI Agent to Attack Security Firm
Researchers intercepted and investigated the model, which was attempting to compromise more than 1,200 hosts for proxyjacking to launch further attacks.
Score: 58🌐 MovesAug 3, 2026https://www.darkreading.com/cyberattacks-data-breaches/chinese-actor-deepseek-ai-agent-attack-security-firm - Trump Admin Has the Concept of a Plan for AI Safety Rules (Maybe)
It’s unclear when (and if) it will be publicly released.
Score: 58🌐 MovesAug 3, 2026https://gizmodo.com/trump-admin-has-the-concept-of-a-plan-for-ai-safety-rules-maybe-2000794097 - Interpol says AI has become the "core operational driver of cybercrime" across Africa
AI is involved in 55 percent of reported cybercrimes in Africa, according to a new Interpol report. Financial losses more than doubled from $192 million to $484 million, and about 600,000 cases of digital extortion involving deepfakes were recorded. The article Interpol says AI has become the "core operational driver of cybercrime" across Africa appeared first on The Decoder .
Score: 58🌐 MovesAug 3, 2026https://the-decoder.com/interpol-says-ai-has-become-the-core-operational-driver-of-cybercrime-across-africa/ - Dubai Future Foundation, Oxa Launch Autonomous Logistics Lab
Dubai Future Foundation, Oxa Launch Autonomous Logistics Lab mena.entrepreneur.com
- Gemini could soon let anyone build an AI agent on their phone, no enterprise plan needed
The feature is currently limited to web for Enterprise and Google Workspace users.
Score: 57🌐 MovesAug 3, 2026https://www.androidauthority.com/gemini-custom-ai-agent-android-apk-teardown-article-3693798/