Episodes

  • Schneider Electric and Foxconn partner on AI data-centre infrastructure — 2026-06-15

    Schneider Electric and Foxconn partner on AI data-centre infrastructure — 2026-06-15
    Jun 15 2026
    ## Short Segments NewCore raises $66 million to tackle AI identity security. In a move that could redefine how companies manage digital identities, NewCore has emerged from stealth with $66 million in funding to develop a platform that governs both human and AI agent identities. The startup, based in Tel Aviv and San Francisco, aims to address a growing challenge as AI agents become integral to corporate operations. With backing from Cyberstarts, Index Ventures, and Evolution Equity Partners, NewCore's platform promises to secure and manage identities within a single architecture. This development is crucial as businesses increasingly rely on AI agents, raising questions about authentication and control. By providing a unified identity solution, NewCore could streamline operations and enhance security, making it easier for companies to integrate AI agents into their workflows. Salesforce acquires Fin for $3.6 billion to boost AI customer service. Salesforce has announced its acquisition of Fin, formerly known as Intercom, for $3.6 billion. This move is set to enhance Salesforce's AI capabilities by integrating Fin's autonomous customer service technology into its Agentforce platform. Fin's AI agents, capable of handling customer queries across multiple channels, will now be part of Salesforce's offerings, potentially accelerating the deployment of AI-driven customer service solutions across enterprises. This acquisition highlights the growing importance of AI in customer service, as companies seek to improve efficiency and customer satisfaction through automation. With Fin's technology, Salesforce aims to provide businesses with more robust tools to manage customer interactions, ultimately enhancing the customer experience. Tesla faces scrutiny over misleading self-driving safety data in Europe. Tesla has come under fire for presenting self-published safety statistics to regulators in Sweden and the Netherlands, which independent researchers claim are misleading. The data was part of Tesla's efforts to gain wider European approval for its Full Self-Driving system. However, skepticism from traffic-safety researchers and regulators could pose challenges for Tesla's expansion in Europe. As the company seeks EU-wide approval, concerns about the accuracy of its safety claims and the potential risks of its self-driving technology remain at the forefront. This situation underscores the ongoing debate over the safety and regulation of autonomous driving technologies, as well as the importance of transparent and accurate data in gaining regulatory approval. ## Feature Story Schneider Electric and Foxconn team up to revolutionize AI data centers. In a strategic collaboration announced today, Schneider Electric and Foxconn are joining forces to design and scale the next generation of AI data centers. This partnership combines Foxconn's expertise in computing platforms and AI rack integration with Schneider Electric's strengths in power distribution, cooling technology, and energy management. The collaboration aims to develop integrated infrastructure systems that will redefine how AI data centers are built and operated. As AI adoption continues to grow, the demand for efficient and scalable data center solutions is increasing. This partnership addresses that need by creating ready-to-deploy solutions, including modular power systems and standardized blueprints for AI hardware. Production based on this collaboration is expected to start later this year, potentially reshaping the landscape of AI data center infrastructure. By leveraging their respective strengths, Schneider Electric and Foxconn aim to provide operators with more efficient, scalable, and sustainable data center solutions. This development is significant as it could lead to more widespread adoption of AI technologies, driven by improved infrastructure capabilities. As the collaboration progresses, it will be important to watch how these new solutions impact the market and influence the future of AI data centers. Ultimately, this partnership could set new standards for efficiency and sustainability in the industry, paving the way for more advanced AI applications.
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    4 mins
  • Fable 5 was beating GPT 5.5 on every major benchmark — 2026-06-14

    Fable 5 was beating GPT 5.5 on every major benchmark — 2026-06-14
    Jun 14 2026
    ## Short Segments NHS England is transforming healthcare efficiency by rolling out Microsoft 365 Copilot to over 505,000 staff, following a successful trial that saved 43 minutes per day per worker. Grassroots opposition has blocked $130 billion in US data center projects, reshaping the AI industry's construction landscape. GM's autonomous vehicles are set to evolve into robotaxis, despite the shutdown of its Cruise division. A Texas lawyer leveraged AI to win a $6 million verdict against Meta, compressing 30 hours of work into 10. Spotify removed 57,000 fake podcast episodes promoting illegal drugs, but only after a senator's investigation forced action. Later, we'll dive into why the US government pulled Anthropic's Fable 5 AI model offline just days after it outperformed GPT 5.5 on major benchmarks. NHS England rolls out Microsoft 365 Copilot to 505,000 staff after trial reports 43 minutes saved per day. NHS England is deploying Microsoft 365 Copilot to over half a million clinicians and support staff, marking the largest AI deployment in healthcare globally. This move follows a pilot involving 30,000 workers, which demonstrated significant time savings in administrative tasks. On average, participants saved 43 minutes daily, freeing up valuable time for patient care. The deployment, valued at approximately £120 million, aims to enhance efficiency across NHS services by October 2026. This initiative not only accelerates AI adoption in healthcare but also highlights the potential for AI tools to streamline operations and improve service delivery. As Microsoft continues to push for broader enterprise adoption of its AI solutions, this rollout could serve as a pivotal case study in the transformative power of AI in public health systems. Grassroots opposition blocked $130 billion in US data center projects in the first three months of 2026. In the first quarter of 2026, grassroots opposition halted or delayed 75 data center projects across the United States, valued at $130 billion. This unprecedented level of resistance, tracked by Data Center Watch, reflects a growing trend of community pushback against large-scale tech infrastructure. The number of opposition groups has doubled to 833 across 49 states, matching the total disruptions seen in all of 2025 within just three months. This surge in activism is reshaping the landscape for AI and tech companies, forcing them to reconsider where and how they build new facilities. As communities become more organized and effective in their opposition, the tech industry faces increasing challenges in expanding its physical footprint, potentially impacting future growth and innovation. GM says its autonomous cars will eventually be capable of running as robotaxis too. General Motors is pivoting its autonomous vehicle strategy to eventually enable its cars to operate as robotaxis. Despite shutting down its $10 billion Cruise division in 2024, GM's chief product officer, Sterling Anderson, announced plans to integrate autonomous capabilities into its personal vehicles. This approach leverages GM's existing Super Cruise technology, which is already logging over 10 million miles monthly. By focusing on a highway-first strategy, GM aims to expand its autonomous driving features to match the operational scope of a robotaxi fleet. This shift underscores GM's commitment to maintaining a presence in the ride-hailing market, even as it consolidates its efforts to develop fully autonomous personal vehicles. The move reflects a broader industry trend towards integrating advanced driver assistance systems into consumer vehicles, potentially reshaping the future of personal and shared mobility. The lawyer who won a $6 million verdict against Meta says AI let him do 30 hours of work in 10. Texas trial lawyer Mark Lanier utilized AI to secure a $6 million verdict against Meta and Google in a social media addiction case. Lanier credits AI with transforming his trial preparation, allowing him to compress 30 hours of work into just 10. The technology was instrumental in analyzing court transcripts, evaluating jury notes, and preparing his legal team. Lanier described the AI tools as akin to having 10 extra workers, highlighting their potential to revolutionize litigation processes. This case exemplifies how AI can enhance efficiency and effectiveness in legal proceedings, offering a competitive edge in complex trials. As AI continues to permeate various industries, its role in legal strategy and case management is likely to expand, potentially reshaping the landscape of legal practice. Spotify removed 57,000 fake podcast episodes promoting illegal drugs, but only after a senator forced its hand. Spotify has removed over 57,000 fake podcast episodes and banned 3,500 accounts linked to illegal drug promotion, following a US Senate investigation. The episodes, which used AI-generated audio, directed listeners to unregulated marketplaces selling drugs and cryptocurrency. Senator ...
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    7 mins
  • US government orders Anthropic to kill Fable 5 and Mythos 5 in unprecedented AI model recall — 2026-06-13

    US government orders Anthropic to kill Fable 5 and Mythos 5 in unprecedented AI model recall — 2026-06-13
    Jun 13 2026
    ## Short Segments OpenAI faces a sweeping investigation by 42 state attorneys general, just days after filing for its IPO. The probe, led by New York's attorney general, demands extensive records on OpenAI's business practices, including advertising, user data, and safety measures. This investigation introduces significant legal risks to OpenAI's upcoming public listing, valued at $852 billion. The outcome could impact OpenAI's product roadmap and investor confidence as it navigates this regulatory challenge. OpenAI is under scrutiny from a coalition of state attorneys general. The investigation seeks documents on OpenAI's advertising, user engagement, and data practices. This regulatory challenge comes just after OpenAI confidentially filed for an IPO, adding potential legal hurdles to one of the largest public listings in history. The investigation's findings could influence OpenAI's market strategy and regulatory compliance efforts moving forward. The FBI has unveiled a 22,000 square-foot replica town in Huntsville, Alabama, designed to train agents for cyberattacks. Known as the Kinetic Cyber Range, this facility includes a hospital, power company, and 200 servers, providing a realistic environment for simulating and investigating cyber threats. Since its opening in February 2025, over 1,400 students have been trained, enhancing the FBI's capabilities in combating cybercrime as digital threats continue to evolve. Anthropic has shut down its Fable 5 and Mythos 5 models following a directive from the US government. The order, citing national security concerns, restricts the use of these AI models outside the United States. This move highlights the growing tension between AI innovation and regulatory oversight, as Anthropic warns that such actions could halt future model deployments if applied broadly across the industry. CoreWeave, an AI cloud infrastructure company, will join the Nasdaq-100 Index just 15 months after its IPO. Originally a cryptocurrency mining operation, CoreWeave's transformation into an AI powerhouse underscores the rapid shifts in tech industry dynamics. Despite its success, the company faces challenges with high debt levels and execution risks, which will be closely watched as it enters this prestigious index on June 22. Anthropic has blocked all customer access to its Fable 5 and Mythos 5 models in response to a US government order. The directive, citing national security concerns, affects all users globally, including Anthropic employees. This unprecedented action reflects the increasing regulatory scrutiny on AI technologies and the potential implications for international AI deployments. ## Feature Story The US government has ordered Anthropic to suspend its Fable 5 and Mythos 5 AI models, marking the first time a commercial AI product has been forcibly taken offline by Washington. This directive, issued on June 12, cites national security concerns, specifically a reported jailbreak that could bypass safeguards. Anthropic complied with the order but criticized it as disproportionate, warning that such measures could halt all frontier model deployments if applied industry-wide. This recall comes just three days after the launch of Fable 5, touted as one of the most capable AI models ever deployed. The directive not only affects foreign nationals but also Anthropic's own employees, effectively cutting off access globally. This move sends shockwaves through the AI industry, which is already grappling with mounting regulatory pressures and the balance between innovation and security. The implications of this action are significant. It highlights the growing tension between AI development and national security concerns, as governments seek to regulate advanced technologies that could pose risks. For Anthropic, this could mean a reevaluation of its deployment strategies and increased scrutiny on its future models. Industry-wide, this sets a precedent for how governments might intervene in AI technologies, potentially influencing global AI policy and innovation trajectories. As the situation unfolds, stakeholders will be watching closely to see how Anthropic navigates this regulatory landscape and what it means for the future of AI development.
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    4 mins
  • Google sues Chinese cybercrime ring that used Gemini to build phishing sites and send 2.5 million scam — 2026-06-12

    Google sues Chinese cybercrime ring that used Gemini to build phishing sites and send 2.5 million scam — 2026-06-12
    Jun 12 2026
    ## Short Segments Data center projects worth $130 billion have been blocked by protests this year, marking a significant shift in community opposition strategies. Researchers have identified the first quarter of 2026 as the most obstructed period on record for data center construction. Coming up, we'll explore how Google is taking legal action against a Chinese cybercrime ring using its own AI for scams. But first, let's dive into the data center protests. Protests have blocked $130 billion in data center projects this year. Communities across the United States have effectively halted or delayed at least 75 data center projects in the first quarter of 2026, according to a report by Data Center Watch. This marks the highest number of disruptions in a three-month period since tracking began in 2023. Researchers attribute this to a structural shift, with communities adopting a playbook for opposition and legislative sessions introducing regulatory uncertainties. The number of active opposition groups has more than doubled, reaching 833 across 49 states. This growing resistance highlights a significant change in how communities are influencing the tech infrastructure landscape. Google sues a Chinese cybercrime network for using AI to automate scams. Google has filed a lawsuit against the Outsider Enterprise, a Chinese cybercrime group accused of using Google's Gemini AI to automate phishing scams. The group allegedly sent 2.5 million fraudulent text messages to Android users, using AI to create fake websites that mimic Google and other brands. Operating through Telegram, Outsider Enterprise provided phishing-as-a-service, offering scam templates and instructions to less tech-savvy individuals. This legal action marks a significant step in Google's efforts to combat AI-driven cybercrime. Facebook, Instagram, and WhatsApp hit by a major Meta outage. Meta's platforms, including Facebook, Instagram, WhatsApp, and Messenger, experienced a widespread outage on Friday morning. The disruption began with WhatsApp and quickly spread, leaving users unable to access key features or log in. By midday, services were recovering unevenly across regions. The outage affected thousands of users globally, with reports of issues surging in both India and the United States. Meta's engineering teams are working to restore full access to the platforms. Facebook and Instagram appear to be down for many users. On Friday morning, users worldwide reported problems accessing Facebook, Instagram, and WhatsApp, sparking concerns of a major outage. According to Downdetector, complaints began rising sharply, indicating widespread disruption. Users faced login errors and were unable to load feeds or access certain features. The outage, which started around 9:30 a.m. EST, affected multiple regions and added to the ongoing issues with Meta's platforms. ## Feature Story Google takes legal action against a Chinese cybercrime ring using its AI for phishing scams. In a landmark move, Google has filed a lawsuit against the Outsider Enterprise, a sophisticated cybercrime network based in China. The group is accused of weaponizing Google's own Gemini AI to conduct large-scale phishing campaigns, sending over 2.5 million scam texts to Android users in just two weeks. This lawsuit, filed in the US District Court for the Southern District of New York, marks the first time Google has pursued legal action against threat actors for exploiting its AI technology. The Outsider Enterprise operated as a phishing-as-a-service platform, coordinating through Telegram channels and distributing phishing kits to criminal affiliates. They generated 9,000 fake websites and over one million fraudulent URLs, targeting users with scams that impersonated Google, YouTube, and government agencies. The group's activities highlight the dual-use nature of AI technologies, which can be harnessed for both innovation and criminal activities. Google's lawsuit aims to dismantle the infrastructure supporting these scams and hold the perpetrators accountable. The company is collaborating with law enforcement and mobile carriers to mitigate the impact of these scams and prevent future incidents. This case underscores the challenges tech companies face in safeguarding their technologies from misuse and the importance of legal frameworks in addressing cybercrime. As AI continues to evolve, the balance between innovation and security remains a critical concern for the industry. Looking ahead, the outcome of this lawsuit could set a precedent for how tech companies address the misuse of their technologies. It also raises questions about the responsibilities of AI developers in preventing their tools from being exploited for malicious purposes. As the legal battle unfolds, the tech industry will be watching closely to see how this case influences future strategies for combating AI-driven cybercrime.
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    5 mins
  • Waymo made a virtual human driver to improve its robotaxis — 2026-06-10

    Waymo made a virtual human driver to improve its robotaxis — 2026-06-10
    Jun 10 2026
    ## Short Segments Waymo's virtual human driver aims to make robotaxis safer, a German court holds Google liable for AI-generated misinformation, and GM Energy introduces new grid-supporting technologies. Later, we'll dive into how Waymo's new cognitive model could reshape autonomous driving safety. First, a German court has ruled that Google is liable for false claims made by its AI Overviews, treating them as Google's own words. A German court has ruled that Google is directly liable for false claims made by its AI Overviews, marking a significant precedent in AI accountability. The court treated these AI-generated summaries as Google's own speech, rejecting the argument that users should fact-check the results themselves. This decision arose after Google's AI wrongly linked two publishers to scams, leading to a temporary injunction against repeating the false statements. This ruling could have global implications, as it sets a new standard for holding tech companies accountable for AI-generated content. For Google, this means a potential shift in how it manages and verifies AI outputs, impacting its operations and possibly influencing other tech giants to reassess their AI content strategies. GM Energy is advancing grid resilience with new vehicle-to-grid capabilities and sodium-ion battery technology. At a recent event, GM announced that its energy products now support vehicle-to-grid (V2G) technology, allowing electric vehicles to supply power back to the grid. This initiative aims to alleviate pressure on the electric infrastructure, especially with the rising demand from AI data centers. GM is partnering with utilities like PG&E and DTE Energy to integrate these capabilities, while also developing sodium-ion batteries for grid storage with Peak Energy. This move not only enhances GM's energy solutions but also positions the company as a key player in the evolving energy landscape, potentially influencing how other automakers approach energy storage and grid integration. Poetic emerges from stealth with $50M to automate insurance underwriting and compliance. The AI startup, backed by OpenAI and other major investors, aims to streamline complex financial tasks using advanced automation. Founded by former Google and Waymo engineer Markie Wagner, Poetic is valued at $500 million and targets sensitive back-office operations like fraud checks and compliance. This funding round highlights the growing interest in AI-driven solutions for financial services, as companies seek to enhance efficiency and reduce manual processing. Poetic's emergence could accelerate the adoption of AI in finance, prompting other startups to explore similar automation opportunities. Aryon Security raises $29M to prevent cloud breaches before they happen. The Israeli startup focuses on a prevention-first approach to cloud security, moving away from traditional "detect and fix" methods. With backing from Brightmind Partners and other notable investors, Aryon aims to enhance cloud security by proactively addressing vulnerabilities. This funding round underscores the increasing demand for innovative cybersecurity solutions as cloud adoption continues to grow. Aryon's approach could influence how organizations prioritize security measures, potentially leading to broader industry shifts towards prevention-focused strategies. Capsa AI raises $18M to build an AI operating system for private equity. The startup, based in London and New York, aims to streamline workflows and improve data management for private capital firms. With support from TX Ventures and Pivot Investment Partners, Capsa plans to enhance its platform that helps firms organize and act on scattered data. This funding highlights the growing need for AI solutions in private equity, as firms seek to optimize operations and gain competitive advantages. Capsa's development could lead to more efficient investment processes, potentially reshaping how private equity firms manage their portfolios. Icertis veterans raise $7.55 million to build an AI layer that recovers lost enterprise revenue. Rivvun AI, founded by former Icertis executives, focuses on recovering money lost between contract obligations and financial settlements. The Seattle-based startup's funding round was co-led by Sitara Capital and 3one4 Capital. This initiative addresses a significant blind spot in enterprise software, aiming to recover potentially billions in uncollected revenue. Rivvun's approach could transform how companies manage financial discrepancies, encouraging others to explore similar AI-driven recovery solutions. ## Feature Story Waymo's virtual human driver, ReD, is set to enhance robotaxi safety by mimicking human driving behavior. Developed in collaboration with TU Delft, ReD serves as a cognitive model that evaluates how Waymo's autonomous vehicles compare to human drivers in accident avoidance. This virtual driver acts like a behavioral crash dummy, testing Waymo's systems against ...
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    6 mins
  • Apple’s real AI story isn’t Siri: it’s a 20-billion-parameter model that runs from your iPhone’s flash — 2026-06-09

    Apple’s real AI story isn’t Siri: it’s a 20-billion-parameter model that runs from your iPhone’s flash — 2026-06-09
    Jun 9 2026
    ## Short Segments Rivian's new R2 model is set to redefine the electric vehicle landscape, Alta Ares is making drone defense more cost-effective, and Zaro is challenging the enterprise AI status quo. Later, we'll dive into Apple's ambitious AI model that runs directly from your iPhone's flash memory. But first, Rivian's latest SUV is making waves. Rivian's R2 SUV aims to change the EV game. This month marks the beginning of customer deliveries for Rivian's R2, a model designed to bring the company's adventurous spirit to a broader market. Priced just under $60,000, the R2 is positioned to compete with mainstream vehicles like the Honda CRV, offering a two-row design that maintains Rivian's distinctive style. By scaling production and cutting costs, Rivian hopes to transition from a niche player to a mass-market automaker. The R2's launch is a critical step in Rivian's strategy to expand its customer base and solidify its position in the EV market. As the R2 hits driveways, it represents Rivian's commitment to making electric vehicles more accessible while retaining the brand's unique appeal. Rivian's second SUV is its best yet. The 2027 Rivian R2 has been described as the company's most impressive vehicle to date. While not perfect, the R2 showcases Rivian's dedication to quality and innovation in the electric vehicle sector. Building on the success of the R1T and R1S models, the R2 aims to capture a larger share of the market with its appealing design and performance. Rivian's focus on adventure and sustainability continues to resonate with consumers, making the R2 a significant addition to its lineup. As Rivian expands its offerings, the R2 stands out as a testament to the company's growth and ambition in the competitive EV landscape. Alta Ares raises €50M to revolutionize drone defense. French startup Alta Ares has secured €50 million to develop AI-guided interceptors that make shooting down drones more cost-effective than ever. Traditional missiles can cost millions, but Alta Ares aims to change that equation with its innovative technology. The funding round, led by Air Street Capital, will help the company ramp up production and expand its global presence. Alta Ares' approach could significantly alter the economics of drone defense, making it more accessible and efficient for military and civilian applications alike. This development highlights the growing importance of cost-effective solutions in modern defense strategies. Engadget Podcast recaps Apple's Siri AI WWDC 2026 keynote. Apple's latest WWDC keynote showcased a revamped Siri AI, sparking discussions about its potential utility versus marketing hype. The Engadget Podcast delves into these announcements, exploring how Siri AI compares to other tools and what it means for Apple's ecosystem. With improvements in speed and child safety features, Apple's updates aim to enhance user experience across its platforms. The podcast provides insights into the broader implications of Apple's announcements, offering listeners a comprehensive overview of the company's strategic direction. As Apple continues to innovate, these developments could shape the future of AI integration in consumer technology. Engineers behind Salesforce's Agentforce raise $5.1M for a new AI venture. London-based startup Zaro has emerged from stealth with a $5.1 million pre-seed round led by Cherry Ventures. The company aims to create an AI workspace owned by companies rather than software vendors. With backing from notable investors like Hugging Face co-founder Thomas Wolf, Zaro seeks to challenge the current enterprise AI landscape. By focusing on user-owned AI solutions, Zaro hopes to empower businesses with greater control and flexibility in their AI deployments. This approach could redefine how companies interact with AI, emphasizing ownership and customization over vendor dependency. An 'anti-private-equity' startup raises $225M to transform Main Street software with AI. Beacon, an AI-native holding company, has raised $225 million to acquire and enhance software companies using AI. Unlike traditional private equity, Beacon focuses on long-term growth and innovation. The funding, led by General Catalyst and HarbourVest, will support Beacon's mission to integrate AI into acquired businesses, driving their development and expansion. This strategy positions Beacon as a unique player in the market, offering an alternative to the cost-cutting approach of conventional private equity. As Beacon continues to grow, its impact on the software industry could be substantial, promoting sustainable growth and technological advancement. ## Feature Story Apple's AI breakthrough isn't just about Siri; it's about a massive AI model running directly from your iPhone's flash memory. At Apple's recent developer conference, the spotlight was on Siri's transformation, but the real innovation lies in the AI models powering it. Apple has developed a 20-billion-parameter model that operates ...
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    7 mins
  • Google orders chips from Intel and Nvidia is testing its tech, as TSMC’s grip on AI starts to strain — 2026-06-08

    Google orders chips from Intel and Nvidia is testing its tech, as TSMC’s grip on AI starts to strain — 2026-06-08
    Jun 8 2026
    ## Short Segments PhysicsX, the AI startup that slashes simulation times from days to seconds, has hit a $2.4 billion valuation after a $300 million funding round led by Temasek. This London-based company is revolutionizing engineering by compressing complex design processes, and the fresh capital will help it expand its workforce to meet growing demand. Coming up, we'll explore how Amazon's billion-dollar deal with Corning highlights fiber optics as the new bottleneck in AI infrastructure. Later, we'll dive into Google's strategic chip order from Intel as TSMC's capacity strains. But first, let's talk about PhysicsX's rapid rise. Amazon's billion-dollar deal with Corning underscores fiber optics as the new bottleneck in AI infrastructure. Amazon is investing billions in Corning's optical fiber to support its expanding U.S. data centers, creating about 1,000 jobs in North Carolina. This multi-year agreement highlights the critical role of fiber-optic cables in AI infrastructure, enabling faster data transmission and connectivity. As AI demands grow, fiber optics are becoming essential, and this deal positions Corning as a key player in the AI build-out. A UK startup claims it can cut data center network power by 81% by replacing electrical switches with light. Oriole Networks is deploying a pure photonic AI network, promising significant power savings and reduced GPU idle time. By using light instead of traditional electrical signals, Oriole aims to overcome the heat and power limitations of current data center networks. This innovation could transform how data centers operate, making them more efficient and sustainable. The AI models finding 10,000 vulnerabilities are the same ones China is trying to copy, raising security concerns. Google's Threat Intelligence Group confirmed an AI system discovered and weaponized a zero-day exploit, marking a new era in cybersecurity. Frontier AI models can identify thousands of vulnerabilities quickly, but China's efforts to replicate these capabilities pose a significant challenge. The U.S. response includes a voluntary review, but the race to control AI's offensive potential is intensifying. A former NASA chief is taking Quantum Space public at a $1.2 billion valuation to build spacecraft for the next space race. Jim Bridenstine, former NASA Administrator, leads Quantum Space, which is going public through a SPAC merger. The company aims to develop spacecraft for the U.S. Space Force and other agencies, with a focus on its Ranger platform. This move positions Quantum Space to compete in the burgeoning space industry, leveraging Bridenstine's experience and strategic partnerships. Britain's Cosine rallies BT, HSBC, and BAE to build a "sovereign" AI model, reducing reliance on U.S. tech. Cosine, a UK frontier-AI lab, has formed a coalition with major British institutions to develop Lumen Sovereign, the country's first fully sovereign AI model. This initiative aims to ensure that critical sectors have locally controlled AI capabilities, addressing concerns over dependence on U.S. technology. The project reflects a growing trend towards national AI sovereignty. ## Feature Story Google's strategic chip order from Intel signals a shift as TSMC's capacity strains under AI demand. For years, Taiwan's TSMC has been the backbone of the AI chip industry, but its capacity constraints are prompting tech giants like Google and Nvidia to seek alternatives. Google has placed an order with Intel for over three million tensor processing units, set for production in 2028. This move not only boosts Intel's stock by over 10% but also marks a significant diversification in the AI supply chain. Nvidia is also evaluating Intel's advanced chip processes, indicating a potential shift in the semiconductor landscape. As AI models grow more complex, the demand for cutting-edge chips is skyrocketing, and TSMC's limited capacity is becoming a bottleneck. This has opened the door for Intel, traditionally seen as a laggard in the AI chip race, to step up as a viable alternative. The implications are profound. If Intel can deliver on its promises, it could reshape the competitive dynamics of the semiconductor industry, reducing the dominance of TSMC and potentially lowering costs for AI developers. However, the success of this strategy hinges on Intel's ability to meet the high-performance standards set by its competitors. Looking ahead, the industry will be watching closely to see if Intel can capitalize on this opportunity and whether other companies will follow Google's lead in diversifying their chip suppliers. This development could herald a new era of competition and innovation in AI hardware, with significant implications for global tech infrastructure.
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    5 mins
  • Trump signs memo putting ‘most advanced AI’ into military hands and banning vendors from pulling the plug — 2026-06-07

    Trump signs memo putting ‘most advanced AI’ into military hands and banning vendors from pulling the plug — 2026-06-07
    Jun 7 2026
    ## Short Segments OpenAI's new Lockdown Mode for ChatGPT aims to block data theft from prompt injection attacks. This security feature disables several functionalities, including live web browsing and image retrieval, to protect sensitive information. Coming up, we'll explore the UK's strategic move to retain AI chip companies, a lawsuit against an AI gun detection firm, and the high-tech security measures for the 2026 World Cup. Later, we'll dive into President Trump's directive to accelerate military AI adoption. OpenAI introduces Lockdown Mode to ChatGPT to combat data theft. OpenAI has rolled out a new security feature called Lockdown Mode for ChatGPT, designed to protect against prompt injection attacks. This optional setting disables live web browsing, agent mode, and other functionalities, offering a more secure experience for users handling sensitive data. While most users may not need this feature, it provides an extra layer of protection for those with higher security needs. The rollout extends to both personal and business accounts, reflecting OpenAI's commitment to enhancing security in AI interactions. This move highlights the growing importance of safeguarding AI systems against sophisticated cyber threats. The UK plans to buy AI chips from British firms to prevent them from relocating to the US. In a bid to retain its tech talent and resources, the UK government is set to purchase AI chips directly from British companies. Technology Secretary Liz Kendall will announce this initiative at London Tech Week, aiming to build a £37 billion chip industry with a 5% global market share. This strategic purchase plan is part of the UK's broader effort to strengthen its position in the global AI landscape and prevent the exodus of key tech firms to the US. By becoming a customer rather than just a regulator, the UK hopes to foster a robust domestic AI industry. School shooting survivor sues AI gun detection firm after system failure. A survivor of a 2025 school shooting in Nashville has filed a lawsuit against Omnilert, the manufacturer of an AI gun detection system that failed to identify a weapon during the incident. The lawsuit claims that the company was aware of significant operational limitations in its system, which could lead to detection failures. These limitations include issues with camera placement and lighting conditions. The case raises questions about the reliability of AI in critical security applications and the accountability of tech firms in ensuring their systems perform as promised. Robot dogs and AI cameras secure the 2026 World Cup. The 2026 World Cup, set to be the largest in history, will also be the most technologically surveilled sporting event. Security measures include the deployment of robot dogs, net-shooting hunter drones, and thousands of AI-powered cameras across venues in the US, Mexico, and Canada. With $875 million allocated for security, these advanced technologies aim to ensure the safety of fans and participants. This extensive use of AI and robotics underscores the increasing reliance on technology for public safety at major events. China wants slimmer EVs after batteries and features made them too heavy for parking spaces. China is pushing for lighter electric vehicles as the average weight of passenger cars has increased significantly over the years. The rise in weight is attributed to larger batteries and additional features, making some vehicles too bulky for standard parking spaces. In response, Beijing has implemented the world's first mandatory EV energy standard to address this issue. This move reflects China's commitment to sustainable transportation and the need to adapt infrastructure to accommodate evolving vehicle designs. ## Feature Story President Trump signs a memo to accelerate military AI adoption and restrict vendor control. President Donald Trump has signed a national security presidential memorandum, NSPM-11, directing the US military and intelligence agencies to rapidly integrate advanced AI technologies. This directive mandates the onboarding of cutting-edge AI models from multiple vendors and prohibits companies from disabling or altering these systems without prior approval. The move aims to enhance national security capabilities by leveraging the latest AI advancements. The memorandum comes shortly after an executive order to regulate the AI industry, signaling a strategic shift towards prioritizing AI in defense applications. By preventing vendors from unilaterally disabling AI systems, the directive ensures that military operations remain uninterrupted and secure. This policy change reflects a broader trend of increasing AI integration in national defense strategies worldwide. However, the directive also raises concerns about oversight and the ethical implications of autonomous weapon systems. While the memo emphasizes the need to protect civil liberties, the rapid deployment of AI in military contexts necessitates careful ...
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    6 mins