AI News Archive: July 16, 2026 — Part 2
Sourced from 500+ daily AI sources, scored by relevance.
- Now, pay just Dh5 for a ride in Dubai RTA's driverless taxi
Now, pay just Dh5 for a ride in Dubai RTA's driverless taxi
Score: 79🌐 MovesJul 16, 2026https://www.khaleejtimes.com/uae/dh5-dubai-rta-driverless-taxi-ride-apollo-go-how-to-book - Volkswagen enters the robotaxi race with a shared shuttle service in Hamburg
Volkswagen’s autonomous mobility subsidiary Moia has begun offering rides in self-driving ID Buzz vans to preregistered residents in Hamburg, marking the first time a major European automaker has launched an autonomous passenger service on its home continent. Up to five vehicles are operating at initial launch, with the fleet expected to expand to 10, and […] This story continues at The Next Web
- China First Full-Size Humanoid Autonomously Completes Long-Horizon Household Tasks Behind a Counter-Consensus Brain System
LimX Dynamics Oli humanoid performs end-to-end household chores with COSA 0.5 brain system, achieving global second Figure-level capability with a three-tier S2-S1-S0 architecture.
- SpaceX open sources Grok Build in same week company was found beaming users' repos to the cloud
AI-and-X subsidiary now claims to offer ‘complete user privacy’ days after Elon Musk confirmed the data would be deleted
Score: 79🤖 ModelsJul 16, 2026https://www.theregister.com/ai-and-ml/2026/07/16/spacex-open-sources-grok-build-after-data-retention-furore/5272333 - xAI open-sources "Grok-Build" on GitHub after massive data breach
xAI's command-line tool "Grok Build" silently uploaded entire directories to Google Cloud servers, including SSH keys and password databases. After the backlash, Elon Musk promised to delete all uploaded user data, and xAI open-sourced the full 844,530-line Rust codebase under the Apache 2.0 license. The article xAI open-sources "Grok-Build" on GitHub after massive data breach appeared first on The Decoder .
Score: 79🌐 MovesJul 16, 2026https://the-decoder.com/xai-open-sources-grok-build-on-github-after-massive-data-breach/ - Hyundai is buying out SoftBank to make Boston Dynamics a wholly owned subsidiary
The deal gives Hyundai full ownership of the robotics company and greater control over its Atlas humanoid robot program
Score: 79🌐 MovesJul 16, 2026https://qz.com/hyundai-softbank-boston-dynamics-stake-acquisition-071626 - Baidu to power AI search for Apple’s Apple Intelligence in China
According to sources, Apple and Baidu are partnering to bring AI features to iPhone users in China. Baidu is developing an AI-powered search experience as part of the Apple Intelligence suite, enabling image and text understanding while also enhancing Siri with capabilities tailored for the Chinese market. Combined with Alibaba’s Qwen large language model, which […]
Score: 79🌐 MovesJul 16, 2026https://technode.com/2026/07/16/baidu-to-power-ai-search-for-apples-apple-intelligence-in-china/ - Apple Intelligence AI service cleared for use on iPhones in China
China's cyberspace regulator has approved Apple Intelligence for use on iPhones, with AI capabilities set to be powered by Alibaba's Qwen and Baidu's models for users in the country
- The end of 'pay-per-seat': How AI is deconstructing the SaaS business model
The end of 'pay-per-seat': How AI is deconstructing the SaaS business model Computing UK
Score: 79🌐 MovesJul 16, 2026https://www.computing.co.uk/feature/2026/ai-deconstructing-saas-licencing-model - Xiaomi unveils AI model to expand robotics push
Xiaomi describes Xiaomi-Robotics-U0 is designed to help robots understand and stimulate real-world environments.
Score: 78🤖 ModelsJul 16, 2026https://www.techinasia.com/xiaomi-trials-humanoid-robots-at-its-ev-factory - Spectro Cloud wants to ease AI infrastructure management after raising $100M in funding
Kubernetes software startup Spectro Cloud Inc. has bagged $100 million in a late-stage funding round as it looks to solve a significant and growing problem in artificial intelligence. Powerful processors might be hard to come by, but they are available for a price. However, what’s really lacking is the software needed to squeeze the most […] The post Spectro Cloud wants to ease AI infrastructure management after raising $100M in funding appeared first on SiliconANGLE .
Score: 78💰 MoneyJul 16, 2026https://siliconangle.com/2026/07/15/spectro-cloud-wants-ease-ai-infrastructure-management-raising-100m-funding/ - Bunkerhill Health raises $55 million to put AI agents to work inside hospitals
Bunkerhill Health raises $55 million to put AI agents to work inside hospitals Fortune
Score: 78💰 MoneyJul 16, 2026https://fortune.com/2026/07/16/bunkerhill-health-raises-55-million-ai-agents-work-inside-hospitals/ - AI-powered travel agency Fora hits unicorn status, raises $60M
Travel agency Fora announced a $60 million Series D round led by Forerunner and Tactile Ventures, valuing the company at $1 billion.
Score: 78💰 MoneyJul 16, 2026https://techcrunch.com/2026/07/16/ai-powered-travel-agency-fora-hits-unicorn-status-raises-60m/ - Trump Admin intros AI initiative to find and fix cyber vulnerabilities
Trump Admin intros AI initiative to find and fix cyber vulnerabilities Healthcare IT News
Score: 78🌐 MovesJul 16, 2026https://www.healthcareitnews.com/news/trump-admin-intros-ai-initiative-find-and-fix-cyber-vulnerabilities - Intel starts using ASML’s High NA EUV technology to produce chips
Intel Corp. has started using ASML Holding NV’s newest lithography hardware to produce processors. The Dutch chipmaking equipment maker disclosed the milestone today. The announcement coincided with the release of its quarterly earnings report, which topped expectations across the board. Lithography machines use light to etch transistors into silicon wafers. ASML is the world’s largest […] The post Intel starts using ASML’s High NA EUV technology to produce chips appeared first on SiliconANGLE .
Score: 78🌐 MovesJul 16, 2026https://siliconangle.com/2026/07/15/intel-starts-using-asmls-high-na-euv-technology-produce-chips/ - SCOOP: Menlo Ventures Sees IRR of 40%+ on Recent Funds After Doubling Down on Anthropic
The 50-year-old firm had some lean years before scoring big on the AI leader & several other rising stars
- Espoo-based Hyperion Robotics raises €6.4 million to bring physical AI to European infrastructure
Hyperion Robotics, an Espoo-based physical AI company enabling the construction industry to build smarter, faster, and greener, today announced €6.4 million ($7.4 million) in growth funding to scale its robotic microfactories across Europe. The round was co-led by Course Corrected and the European Innovation Council Fund (EIC Fund), with participation from RE Ventures (part of […] The post Espoo-based Hyperion Robotics raises €6.4 million to bring physical AI to European infrastructure appeared first on EU-Startups .
- Q3 2026 Physical AI: Inside the $1 Billion Race to Automate the Warehouse
Q3 2026 Physical AI: Inside the $1 Billion Race to Automate the Warehouse PitchBook
Score: 78🌐 MovesJul 16, 2026https://pitchbook.com/news/reports/q3-2026-physical-ai-inside-the-1-billion-race-to-automate-the-warehouse - As US AI costs soar, global businesses pivot to China’s low-cost, open-weight models
Global businesses are increasingly switching from premium, closed-source US software – such as OpenAI’s GPT and Anthropic’s Claude – to cheaper Chinese open-weight models that offer near-frontier performance. Since mid-June, the daily token volume of Zhipu’s GLM-5.2, which operates at about one-fifth the cost of Anthropic’s Claude Opus 4.8, had surged 50-fold on Vercel, the San Francisco-based cloud platform for AI web development reported on Tuesday. Meanwhile, DeepSeek’s V4 Flash, a...
- When could humanoid robots go to war? Sooner than you think, says firm testing them in Ukraine
AI-powered humanoid robots may become weapons by 2027, robotics firm Foundation Future Industries says.
- NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval
NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval
- QumulusAI’s direct listing: Accelerating the neocloud for enterprise AI
Neocloud provider QumulusAI said today that it will starting trading Thursday as a publicly traded company on Nasdaq under the ticker symbol QMLS via a direct listing. For those unfamiliar with the process, the typical initial public offering takes time and requires an investment banker, whereas a direct listing does not create new shares. Instead, existing […] The post QumulusAI’s direct listing: Accelerating the neocloud for enterprise AI appeared first on SiliconANGLE .
Score: 78💰 MoneyJul 16, 2026https://siliconangle.com/2026/07/15/qumulusais-direct-listing-accelerating-neocloud-enterprise-ai/ - Whale Raises $40M Series C3 Extension, Bringing Total Series C to $100M, to Scale Global Enterprise AI Operations
Whale Raises $40M Series C3 Extension, Bringing Total Series C to $100M, to Scale Global Enterprise AI Operations The Straits Times
- Medical Care Technologies, Inc. (OTC PINK:MDCE) Advances Melanoma Scan Beta Through Comprehensive AI Model Optimization Using Gold-Standard Datasets
Medical Care Technologies, Inc. (OTC PINK:MDCE) Advances Melanoma Scan Beta Through Comprehensive AI Model Optimization Using Gold-Standard Datasets USA Today
- AI chatbots are at risk of spreading government restrictions on online speech, a new study says
AI chatbots are at risk of spreading government restrictions on online speech, a new study says AP News
- Special Breaking Analysis: Nvidia’s AI networking moat is real – but the lock-in debate continues
In a special editorial discussion hosted by Dave Vellante and Bob Laliberte, Nvidia Corp. networking chief Gilad Shainer explains why agentic inference turns the network into part of the computer. We believe Nvidia is materially ahead of the field, but in this Special Breaking Analysis we evaluate Nvidia’s claims of openness, which must be analyzed […] The post Special Breaking Analysis: Nvidia’s AI networking moat is real – but the lock-in debate continues appeared first on SiliconANGLE .
- Microsoft CEO Satya Nadella says AI labs are quietly stealing their customers' know-how
Microsoft CEO Satya Nadella says AI labs are quietly stealing their customers' know-how Fortune
- MSD Korea backs AI healthcare startups for global expansion
MSD Korea backs AI healthcare startups for global expansion 매일경제
- Netflix says around 300 titles used generative AI
Netflix says roughly 300 titles on its platform used generative AI, most of which occurred in post-production. The streaming service revealed the news in its second-quarter earnings report released on Thursday, saying it's "increasingly leveraging these tools to deliver higher quality output more quickly and at a lower cost." It also provided some examples of […]
Score: 77🌐 MovesJul 16, 2026https://www.theverge.com/streaming/966633/netflix-ai-titles-q2-2026-earnings - UN chief arrives in Shanghai to attend 2026 World AI Conference
UN chief arrives in Shanghai to attend 2026 World AI Conference
- DeepMind CEO pushes for AI industry self-regulation
Google DeepMind CEO Demis Hassabis is pushing for the US AI industry to self-regulate, with the support of government, as a starting point for an international creating shared international standards. In a blog post, he called for a focus on artificial general intelligence (AGI) and national security. But it is precisely that focus on national security that may make the results of such an effort, assuming it happens, less than palatable outside of the US. “The rapid progress we’re seeing in AI requires a new approach to testing frontier AI model capabilities that is dynamic, adaptable, and rigorous,” Hassabis wrote . “The US is well positioned, given its economic and technical standing, to take the first step in developing such a framework. It could establish a new Standards Body modelled on a federally overseen public-private partnership or self-regulatory organization, much like the Financial Industry Regulatory Authority (FINRA), with a board that includes independent leading technical experts and open-source representatives.” He noted, however, that the funding would need to be substantial, and would most likely come from industry, to allow the new body to attract world-class technical talent and obtain the necessary compute resources for large-scale testing. Hassabis proposed that the organization “be responsible for developing assessment protocols and working with appropriate federal agencies and the US National Labs to conduct testing in areas relevant to national security,” and that AI vendor participants be encouraged to adopt best practices such as publishing model cards with technical details, maintaining strong internal cybersecurity, vetting key personnel, and providing sufficient resourcing for safety and security research. This is not the first time Hassabis has expressed worries about AGI . DeepMind was involved in an earlier US government initiative evaluating AI safety , alongside Microsoft and xAI (now SpaceXAI) working with the Center for AI Standards and Innovation (CAISI), a division of the US Department of Commerce. It allowed CAISI to conduct pre-deployment evaluations and targeted research to “better assess frontier AI capabilities and advance the state of AI security.” The rest of the world may have concerns Analysts and consultants were mixed about the move, with most expressing concerns about whether an industry-focused group would prioritize the public’s best interests. “Self-regulation is not viable because it implies everyone is able to regulate themselves and will do so in line with the best interests of the public. Most tech vendors don’t have the capacity to self-regulate. They would just prefer a set of rules within which they can operate,” said Gartner VP analyst Nader Henein . “For-profit organizations are required to do what is best for their shareholders, and external regulation ensures that those organizations are never in a conflict of interest where they have to choose between what is good for their shareholders and what is good for the public.” And, said Sanchit Vir Gogia , chief analyst at Greyhound Research, given the international nature of AI models, an effort coordinated by the US government might alienate other countries. “National security is the proposal’s accelerator in Washington and its poison pill abroad: the framing that opens the only gate available at home invites foreign capitals to read the institution as an instrument of American strategy,” he pointed out. “The map is already plural,” he said. “Brussels switches on enforcement powers over general-purpose models [starting in August 2026], London runs the AI Security Institute, and Beijing licenses on its own terms. California and New York have legislated for frontier models at home. The durable route is shared technical evidence with sovereign enforcement, sealed through mutual recognition rather than deference, with India and the other major non-Western markets holding authorship rather than seats.” Gogia added that the rules enacted by even such a group may not address all of the key concerns of enterprise IT. A US government effort along the lines that Hassabis is proposing would result in testing that “sits close to intelligence and industrial policy, and those functions will not stay neatly separated. A model can pass every catastrophic-risk test and still fail the enterprise on privacy, reliability, and liability,” he noted. Walmart’s former director of cybersecurity Steven Eric Fisher , who is now an independent cybersecurity consultant, said he found the proposal “well-intentioned, but it addresses a highly polarized topic at a time when commercial interests carry unprecedented political influence, which is not always applied benevolently.” He added, “an exclusive US standard that is not globally respected or enforceable would likely fail to achieve its core purpose and would place US companies at a competitive disadvantage.” Aman Mahapatra , chief strategy officer for Tribeca Softtech, a New York City-based technology consulting firm, said that a deep dive into how FINRA operates today is illustrative of what IT leaders can expect from this effort, assuming the industry adopts that model. “When the CEOs of the five companies that would be regulated are also the primary drafters of the standards, the standards will reflect those companies’ interests. FINRA has an independent board, but the operational reality is that member firm perspectives dominate the working groups that write the actual rules,” he said. “There is no reason to expect an AI equivalent to work differently, and every reason to expect it to work worse, because AI standardization is happening faster than any industry has ever attempted to standardize itself, and speed is the enemy of independent oversight.” Carmi Levy , an independent technology analyst, was even more emphatically opposed to the Hassabis proposal. “Asking Big Tech companies to self-police is analogous to allowing foxes to guard the henhouse. It hasn’t worked to date, and it won’t work going forward. Expecting these organizations to somehow change their ways at this point in time represents the height of naïve thinking,” Levy said. “The framework proposed by Demis Hassabis is a self-serving roadmap for an industry bent on racing to the AI horizon regardless of the harms caused along the way. It is impossible to quantify the dangers to broader society should frameworks allowing self-regulation become the norm.” Some love the proposal An almost completely opposite stance came from Yuri Goryunov , CIO of consulting firm Acceligence, who applauded the proposed move. “This is one of the rare setups where industry self-regulation has a real shot, and enterprise IT should be enthusiastically rooting for it,” he said. “It fails when harms are externalized, such as in social media content moderation. Or when the overseer outsources judgment to the overseen, such as the FAA’s delegation to Boeing before the 737 MAX. It works when everyone in the industry shares the catastrophic downside.” He suggested, however, that the best precedent here isn’t FINRA, it’s INPO, the Institute of Nuclear Power Operations, which the nuclear industry created within months of the 1979 Three Mile Island partial reactor meltdown “on the logic that an accident anywhere is an accident everywhere. INPO peer-reviews every US plant, its evaluations move insurance premiums, and it sits on top of the NRC’s statutory floor. That is a public-private stack very close to what Hassabis is describing. Frontier AI has the same structure: one lab’s catastrophic failure brings regulation down on all of them.” For enterprise CIOs and other IT executives, Goryunov said, that model has the potential for being a big win. “ Today, every enterprise duplicates the same AI diligence of red-teaming, eval suites, governance committees and each does so with less information than any certifying body would have,” Goryunov said. “A credible standards regime does for AI what UL did for electrical equipment and SOC2 did for cloud: it converts an unknowable risk into a procurable product and gives boards a defensible standard of care. That’s not red tape. That’s peace of mind with an audit trail.” However, Mahapatra said, “the countervailing view is that the alternative to industry-led standards is probably not thoughtful legislation. It is probably no standards, or state-by-state fragmentation, or the current pattern of ex-post enforcement actions where regulators surface concerns years after harm has already occurred.” Thus, he noted, “Hassabis is making the reasonable argument that imperfect fast standards are better than perfect slow ones, and there is genuine merit to that view for topics like agent identity, evaluation methodology, and interoperability, which are exactly the areas OpenClaw is also targeting .” This article first appeared on CIO .
Score: 77🌐 MovesJul 16, 2026https://www.computerworld.com/article/4197824/deepmind-ceo-pushes-for-ai-industry-self-regulation-2.html - India Is Moving Fast to Build A.I. Data Centers. A Coastal City May Pay the Price.
With India lagging in the technology, officials are embracing giant data centers. But critics say the megaprojects will use up energy and water, without providing long-term jobs.
Score: 76🌐 MovesJul 16, 2026https://www.nytimes.com/2026/07/16/world/asia/india-ai-data-centers-google.html - South Korea indicts 1st AI smart glasses user for cheating in national exam
South Korean prosecutors have indicted a man in his 40s for using AI-powered smart glasses to cheat on a national certification examination, marking the country's first legal action involving the device.
- Longbridge Unveils the World's First AI-Native Investing Platform, Ushering in a New Era of Investing
Longbridge Unveils the World's First AI-Native Investing Platform, Ushering in a New Era of Investing The Straits Times
- Oracle is one notch above junk after S&P downgrade as AI data-centre spending burns through cash
S&P downgraded Oracle to BBB- on July 9, placing the company one notch above junk status, as a $250 billion data-centre expansion plan burns through cash faster than revenue can replace it. Oracle is now the second-largest non-financial debt issuer in the Bloomberg US Corporate Bond Index after Amazon, with $117 billion outstanding. Shares fell […] This story continues at The Next Web
- Gartner Identifies the Companies to Beat in the AI Semiconductor Vendor Race
Gartner Identifies the Companies to Beat in the AI Semiconductor Vendor Race Gartner
- Google’s AI Mode now lets you link and interact with select apps
With this new update, Google is expanding AI Mode beyond answering questions and into completing tasks across the apps they use regularly.
Score: 76🌐 MovesJul 16, 2026https://techcrunch.com/2026/07/16/googles-ai-mode-now-lets-you-link-and-interact-with-select-apps/ - Catching up in the AI race? India gets its second AI unicorn in a month
Two Indian AI startups have become unicorns in a month, which has raised hopes that the country could shed its reputation as an AI laggard.
Score: 75💰 MoneyJul 16, 2026https://www.cnbc.com/2026/07/16/catching-up-in-the-ai-race-india-gets-its-second-ai-unicorn-in-a-month.html - AI Data Centers Push Silicon Photonics Toward 300-mm Scale
AI data centers are torching copper’s reign as ST pushes 300-mm silicon photonics for faster, denser optical links. The post AI Data Centers Push Silicon Photonics Toward 300-mm Scale appeared first on EE Times .
Score: 75🌐 MovesJul 16, 2026https://www.eetimes.com/ai-data-centers-push-silicon-photonics-toward-300-mm-scale/ - Facial movement analysis detects deepfake videos with more than 95% accuracy
So-called deepfakes, that is, images and videos generated with the help of artificial intelligence, are becoming increasingly difficult to detect. An international research team from the University of Tokyo and the Max Planck Institute for Informatics in Saarbrücken, Germany, has developed a method that identifies manipulated videos more reliably than previous approaches—not by searching for visual artifacts, but by analyzing the naturalness of facial expressions. In tests on established benchmark datasets, the approach achieved an average detection accuracy of more than 95 percent and successfully identified manipulations that caused many existing detectors to fail.
Score: 75🌐 MovesJul 16, 2026https://techxplore.com/news/2026-07-facial-movement-analysis-deepfake-videos.html - OpenAI’s Upcoming Device Explained: Everything We Know About the Screenless AI Speaker
OpenAI is reportedly developing a portable screenless AI speaker with cameras, sensors, GPT-Live, and moving parts. The post OpenAI’s Upcoming Device Explained: Everything We Know About the Screenless AI Speaker appeared first on TechRepublic .
Score: 75🌐 MovesJul 16, 2026https://www.techrepublic.com/article/news-openai-screenless-ai-speaker-hardware-2026/ - A Startup Says It Shrunk an AI Model by 93%. Apple Wants to Talk.
A Startup Says It Shrunk an AI Model by 93%. Apple Wants to Talk. entrepreneur.com
Score: 75🌐 MovesJul 16, 2026https://www.entrepreneur.com/business-news/a-startup-says-it-shrunk-an-ai-model-by-93-apple-wants-to-talk - Apple Made 1 Small Mistake in Its Massive Lawsuit Against OpenAI. Legal Experts Weigh In on How Much It Matters
Last week, Apple sued OpenAI, accusing the AI giant of misappropriating trade secrets. Recent revelations are complicating the initial case.
Score: 75🌐 MovesJul 16, 2026https://www.inc.com/esther-lian/apple-made-1-small-mistake-in-massive-lawsuit-against-openai/91374870 - Trump calls New York pause on AI data centres ‘terrible decision’
Trump calls New York pause on AI data centres ‘terrible decision’ The Straits Times
- Why Apple Sued OpenAI, New York Takes on Data Centers, and What to Know about Cyclosporiasis
On today’s Uncanny Valley, we unpack OpenAI’s ongoing drama, both legal and reputational, and whether these developments could further hurt the company—particularly in its fight against Anthropic.
- Exclusive: Humanoid, UK-Based Robot Maker, Becomes a Unicorn
Exclusive: Humanoid, UK-Based Robot Maker, Becomes a Unicorn The Information
Score: 75🌐 MovesJul 16, 2026https://www.theinformation.com/briefings/exclusive-humanoid-uk-based-robot-maker-becomes-unicorn - OpenAI admits GPT-5.6 occasionally deletes files – but it's an 'honest mistake'
Data purges deemed an example of 'misaligned behavior' that upstart is working to avoid
- OpenAI Details GPT-Red: An Internal Automated Red-Teaming Model That Beat Human Red-Teamers 84% To 13% On Prompt Injection
OpenAI Details GPT-Red: An Internal Automated Red-Teaming Model That Beat Human Red-Teamers 84% To 13% On Prompt Injection MarkTechPost
- Nvidia expands Toyota AI partnership for smart cities and factories
Nvidia expands Toyota AI partnership for smart cities and factories The Japan Times
Score: 74🌐 MovesJul 16, 2026https://www.japantimes.co.jp/business/2026/07/16/companies/nvidia-toyota-ai-partnership/ - DeepMind CEO to Lobby Washington on Plan for Group to Vet AI Models
Earlier this week, Google DeepMind Chief Executive Officer Demis Hassabis unveiled a proposal for a new international watchdog that would do “rigorous” tests and reviews of cutting-edge AI models before release.