AI News Today — Part 16
Jun 24, 2026 · Sourced from 500+ daily AI sources, scored by relevance.
- Anthropic’s Mythos model found vulnerabilities in classified US government systems, official says
Anthropic’s Mythos model found vulnerabilities in classified US government systems, official says Toronto Star
- Anthropic’s Mythos found security flaws in classified U.S. systems within hours during testing, official says
Earlier this month, Trump directed the company to stop foreign nationals from using its latest AI models
- Anthropic's Mythos model found vulnerabilities in classified US government systems
UPDATE 1-Anthropic's Mythos model found vulnerabilities in classified US government systems, AP reports
- Anthropic's model found vulnerabilities in US systems
Anthropic's Mythos model identified vulnerabilities in highly sensitive US government computer systems during a testing exercise, the Associated Press has reported.
- Anthropic's Mythos model found vulnerabilities in classified US gov systems
Unclear if vulnerabilities could be immediately exploited.
- Anthropic’s Mythos model found vulnerabilities in classified US government systems, official says
Anthropic’s Mythos model found vulnerabilities in classified US government systems, official says San Francisco Chronicle
- Anthropic’s Mythos model found vulnerabilities in classified US government systems, official says
Anthropic’s Mythos model found vulnerabilities in classified US government systems, official says Houston Chronicle
- Anthropic’s testing reveals classified U.S. government systems have vulnerabilities, says anonymous source
A U.S. official told The Associated Press on Tuesday that one of Anthropic’s artificial intelligence models had identified vulnerabilities in highly sensitive and secure U.S. government computer systems during a testing exercise. The official, who spoke on the condition of anonymity to discuss the matter, said Anthropic had teamed up with U.S. intelligence agencies to conduct tests using the company’s Mythos model . It had identified certain vulnerabilities within hours, but that does not mean the model was able to exploit them within that time, the official said. The official said the testing was done through an Anthropic initiative called Project Glasswing, which brought together tech giants and other companies in hopes of securing the world’s critical software from “severe” fallout that the Mythos model could pose to public safety, national security and the economy. Democratic Sen. Mark Warner of Virginia had briefly mentioned the testing during a June 11 hearing before the Senate Committee on Banking, Housing, and Urban Affairs. Warner had said, “This tool broke into almost all of our classified systems, not in weeks but in hours.” He attributed the information to the head of the National Security Agency and U.S. Cyber Command, who is Gen. Joshua Rudd. The NSA declined to comment on the matter in an email. An Anthropic spokesman also declined to comment. Despite the recent cooperation between Anthropic and U.S. agencies to test for vulnerabilities, tensions between the California company and the Trump administration have been growing. Anthropic has raised concerns over how the U.S. military would use its AI , while the administration has restricted the use of some of Anthropic’s models. The administration issued a directive earlier this month requiring Anthropic to prevent foreign nationals from using its latest artificial intelligence models, known as Fable 5 and Mythos 5. Anthropic released Fable widely earlier this month. That model is a limited version of the more advanced Mythos, to which the company has tightly limited access due to cybersecurity fears. The directive came 10 days after President Donald Trump signed an executive order to establish a framework for the federal government to vet the national security risks of the most advanced AI systems for up to a month before their public release. Participation by AI developers would be voluntary, the order said. Anthropic said it disabled the models for all of its customers to comply with the administration’s directive. The AI giant said it did not believe the steps taken by the government were warranted by the concern it flagged about a potential security issue. A group of cybersecurity executives has also asked the Trump administration to lift its directive, saying the move could help U.S. adversaries more than it hurts them. More than 100 cybersecurity experts and leaders from companies including Adobe and Nvidia told the government in a letter that Anthropic’s Mythos models are “quite good” at finding flaws in software and weaponizing exploits — but they are “not uniquely good at these tasks.” Many of the letter’s signatories said they regularly use other foundation and open-source models for security audits and training. The letter said it is dangerous to take away the best cyber defense capabilities “without a good reason” when America’s adversaries are rapidly advancing. —Ben Finley, Associated Press
- Anthropic’s Mythos model found vulnerabilities in classified US government systems, official says
Anthropic’s Mythos model found vulnerabilities in classified US government systems, official says Boston Herald
- Morgan Stanley raises China humanoid robot shipment forecast to 50,000 units
Morgan Stanley has again raised its forecast for China’s humanoid robot shipments this year, lifting its estimate to 50,000 units from 28,000 as commercial validation, policy support and supply-chain momentum accelerate adoption. The investment bank had already doubled its projection to 28,000 units in January. In a report published on Tuesday, it said the latest upgrade reflected a growing number of Chinese companies, including electric-vehicle maker Xpeng, announcing plans for mass production...
- Morgan Stanley doubles its China robot forecast again
Morgan Stanley has doubled its forecast for China humanoid robot shipments again, to 50,000 this year. The bank says the machines are moving from stage demos to real factories, shops and restaurants. China’s robots are leaving the showroom and reaching the shop floor. Morgan Stanley has doubled its forecast for China humanoid robot shipments for […] This story continues at The Next Web
- Every Company Is Now An AI Wrapper So GTM Is The New Moat
The frontier model is a commodity. The companies winning are the ones that own distribution, and venture capital is paying up for it.
- Companies are not looking before they're leaping into the AI playpen
93% of organizations report infrastructure incidents attributable to AI
- Qualcomm Lays Out New Data Center Roadmap For AI; Meta Buys It
Qualcomm revealed its ambitious data center roadmap at Investor Day, securing a pivotal multi-year agreement with Meta to deploy its advanced technologies.
- Qualcomm Accelerates Diversification with Comprehensive Strategy for Data Center and Sees Multiple Inflection Points Over the Next 3 to 5 Years
Qualcomm Accelerates Diversification with Comprehensive Strategy for Data Center and Sees Multiple Inflection Points Over the Next 3 to 5 Years Qualcomm
- Qualcomm claims it's not too late for Dragonfly to land in datacenters
Oh, Snap(dragon): DC chief says the mobile-chip giant sees bit barns as its next growth market
- Accenture Survey Finds AI Investment Surging, But Operating Models Lag
Despite C-suite optimism and more investment, there's a big gap between AI aspirations and enterprise readiness. The answer? Savvy redesign of core processes and roles.
- AI boosts developer speed, but oversight lags, study warns
AI boosts developer speed, but oversight lags, study warns verdict.co.uk
- Lowdown: Legal tech firm sues US over Anthropic AI access ban for foreign nationals
Legion LegalTech has sued the US government over restrictions on access to Anthropic's AI models, arguing no export-control law covers hosted AI systems. The post Lowdown: Legal tech firm sues US over Anthropic AI access ban for foreign nationals appeared first on MEDIANAMA .
- Micron Earnings Are the Next Big Test for the AI Trade
Micron Earnings Are the Next Big Test for the AI Trade Business Insider
- Micron's revenue and earnings surged to records on AI memory demand
The chipmaker posted $41.46 billion in quarterly revenue and guided to $50 billion next quarter as AI-driven memory demand accelerates
- Micron’s revenue quadrupled as AI memory demand pushes gross margins above 81 percent
Micron Technology posted fiscal third-quarter revenue of nearly $42bn, quadrupling from just over $9bn a year earlier and beating Wall Street estimates by a wide margin. The results, reported on Tuesday, confirm that the company riding the AI memory boom hardest is the one whose stock has already climbed roughly 700 percent over the past […] This story continues at The Next Web
- Micron Earnings Arrive With AI Trade Facing New Doubts
Micron Earnings Arrive With AI Trade Facing New Doubts Barron's
- Micron earnings take on new gravity with market on edge over AI
Micron earnings take on new gravity with market on edge over AI The Mercury News
- Meta Is Building a Prediction Markets App, xAI Bets on Grok’s Racy Side, OpenAI’s Ad Progress — TITV [Video]
Meta Is Building a Prediction Markets App, xAI Bets on Grok’s Racy Side, OpenAI’s Ad Progress — TITV [Video] The Information
- Meta pauses employee tracker for AI training amid privacy concerns
About 1,600 workers signed petition against tool that tracked staff keystrokes, mouse clicks and computer screen content Mark Zuckerberg’s Meta has paused a program that tracked employees’ computer activity amid data privacy concerns and a staff backlash. The owner of Facebook, Instagram and WhatsApp had introduced a tool that tracked staff keystrokes, mouse clicks and content displayed on computer screens in order to collect data for training its AI models. Continue reading...
- Chinese supercomputer outpaces US rivals
Chinese supercomputer outpaces US rivals The Telegraph
- Chinese supercomputer displaces US machines as world’s fastest for first time since 2017
Chinese supercomputer displaces US machines as world’s fastest for first time since 2017 The Boston Globe
- Chinese supercomputer displaces US machines as world's fastest
A supercomputer in China now outranks its U.S. counterparts as the world’s most powerful, marking the first time since 2017 that a Chinese computer has topped a list sometimes viewed as a measure of a nation’s technological prowess
- Qualcomm lands Meta as first named customer for its Dragonfly data centre chips
Qualcomm has signed Meta as the first named customer for its new Dragonfly C1000 data centre processor, the strongest signal yet that the mobile chipmaker is serious about competing in the AI infrastructure market. The company announced the deal at its investor day in New York on Wednesday, alongside a new AI300 accelerator chip and […] This story continues at The Next Web
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AI Automotive News
- AI is helping gas stations collude to raise California fuel prices, lawsuit says
AI is helping gas stations collude to raise California fuel prices, lawsuit says AP News
- Austria’s Ora Computing secures €3.5 million to make AI models smaller and faster
Vienna-based Ora Computing, a startup specialising in optimising and compressing AI foundation models, today announced the close of a €3.5 million Seed round in order to grow the team, extend compression capabilities to the largest frontier models, and launch a commercial product for cloud inference providers and companies deploying AI. The round was led by […] The post Austria’s Ora Computing secures €3.5 million to make AI models smaller and faster appeared first on EU-Startups .
- Ex-Infosys CEO Vishal Sikka’s New AI Venture Hang Ten Bags $32 Mn
Former Infosys CEO Vishal Sikka’s new AI venture Hang Ten Systems has raised $32 Mn (₹302 Cr) in its seed…
- Former Infosys CEO Vishal Sikka's Hang Ten Systems raises $32 Mn Seed round
Enterprise AI services startup Hang Ten Systems has raised $32 million in a seed funding round led by Mayfield, with participation from Aramco Ventures and a group of angel investors. Founded by former Infosys CEO and SAP executive board member Vishal Sikka, the Palo Alto-based company helps large enterprises deploy artificial intelligence across business operations and software systems. The fresh capital will be used to expand the company's team and scale its engagements with global enterprises, the company said in a press release. Hang Ten focuses on building and operating enterprise software using AI-native approaches, including agentic code generation, reusable skills libraries, and domain-specific expertise. The company aims to help enterprises reduce the cost and time required for software development, customization, integration, and maintenance. In a LinkedIn post announcing the launch, Sikka said Hang Ten is already working with large enterprises, including Fresenius and Siemens entities, to help them deploy AI across business operations. He described the company as an enterprise AI services firm focused on helping organizations adopt AI at scale. "Every single enterprise will be transformed by AI. A few are already reaping massive benefits, building in days what used to take years. But most are stuck at the starting line, or worse, and the gap is widening every day," said Sikka. According to the company, it is currently working with customers across several industries, including Siemens Gamesa Renewable Energy and Fresenius, on AI-native project delivery. Sikka also disclosed in the LinkedIn post that Yahoo co-founder Jerry Yang has joined Hang Ten's board. According to the post, the startup is backed by Mayfield, Aramco Ventures, and a group of Silicon Valley angel investors. Sikka served as CEO and Managing Director of Infosys between 2014 and 2017 before stepping down. In 2019, he founded AI software company Vianai Systems, where he served as founder and CEO until April 2026. He also serves on the supervisory board of BMW Group and has been a member of the board of directors of GSK since 2022.
- JustAI Bags $17 Mn To Scale Its Agentic Martech Stack
AI-powered martech platform JustAI, erstwhile Just Words, has raised $17 Mn (₹160.2 Cr) in its Series A funding round led…
- JustAI raises $17M in Series A funding led by Base10
JustAI raises $17M in Series A funding led by Base10 YourStory.com
- AI marketing startup JustAI raises $17 Mn in Series A led by Base10
AI marketing platform JustAI has raised over $17 million in a Series A funding round led by Base10, with participation from Y Combinator and Peak XV Partners. The round also saw participation from strategic investors and operators, including growth leaders from Anthropic and Chime, the CTO of HubSpot, and the founders of Eppo and Vapi. The fresh capital will be used to expand the company’s engineering and go-to-market teams, strengthen its agentic AI infrastructure, and extend its platform into e-commerce and B2B marketing use cases. The company also plans to expand its engineering talent base and explore opportunities in India. Founded by Neha Mittal and Jeff Hara, JustAI offers an AI-native platform that helps enterprises automate marketing personalization, experimentation, and decision-making. Its platform combines strategy, creative, decisioning, and data agents to help marketing teams execute and optimize campaigns at scale. According to the company, its technology is powered by proprietary reinforcement learning models that predict the next best action or message for users, replacing traditional rules-based campaign management with AI-driven decisioning. JustAI claims it supports more than 600 marketing decisions delegated to AI every month and helped generate over $100 million in revenue for customers last year. Its customers include Coursera, ClickUp, and Better. The startup was founded by Mittal, who previously worked in growth and retention roles at Twitter and Pinterest, and Hara, who has experience in machine learning and recommendation systems. In August 2024, JustAI raised a $1.7 million seed round led by Peak XV Partners, Y Combinator, Lobster Capital, and Cloud Capital. The company plans to focus on helping enterprise marketing teams consolidate fragmented marketing tools and workflows into a unified knowledge and decisioning layer over the next 12 months.
- India: Base10 leads $17m funding in AI marketing platform JustAI
India: Base10 leads $17m funding in AI marketing platform JustAI DealStreetAsia
- Base10 Leads JustAI’s USD 17 Million Series A Funding
Base10 Leads JustAI’s USD 17 Million Series A Funding india.entrepreneur.com
- MoEngage Acquires US-Based AI Startup Aampe To Scale Agentic Marketing
SaaS major MoEngage has acquired San Francisco-based AI infrastructure startup Aampe to strengthen its customer engagement stack. In a statement,…
- MoEngage acquires San Francisco-based AI infra startup Aampe
MoEngage acquires San Francisco-based AI infra startup Aampe YourStory.com
- EXLService Holdings to acquire AI training firm iMerit for $310 million
The acquisition will strengthen EXL's AI capabilities, expand its presence in high-growth sectors and deepen partnerships with foundation model developers
- EXL to acquire iMerit for $310 million to enhance AI capabilities
EXL and its clients will benefit from early insight into how models are trained, fine-tuned and improved
- AI coding cost will surpass average developers’ salary by 2028: Gartner
AI coding cost will surpass average developers’ salary by 2028: Gartner YourStory.com
- AI coding costs to surpass average developer’s salary by 2028: Gartner
The productivity promise of generative AI hinges entirely on operational discipline rather than raw technological capability
- Gartner: AI Bots Will Soon Cost More to Run Than Hiring a Human Developer
By 2028, AI coding costs will overtake the average developer’s salary due to rising large language model (LLM) token consumption and the shift to consumption-based licensing models, according to Gartner, Inc., a business and technology insights company. AI tokens are the units of data processed by generative AI models. Token consumption directly impacts the cost of AI […] The post Gartner: AI Bots Will Soon Cost More to Run Than Hiring a Human Developer appeared first on CXOToday.com .
- AI coding’s hidden cost curve: why token economics could outpace developer salaries by 2028
The promise of AI-assisted software development has been framed largely in terms of productivity gains—faster coding cycles, reduced manual effort, and the ability to scale engineering output with fewer resources. […] The post AI coding’s hidden cost curve: why token economics could outpace developer salaries by 2028 appeared first on Express Computer .
- AI coding agents could soon cost more than the developers using them
Consumption-based pricing and scant cost controls are sending monthly bills into five figures, Gartner warns
- Superhuman to bring GPTZero’s AI detection technology into its platform
Superhuman to bring GPTZero’s AI detection technology into its platform