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The Lead OpenAI CEO Sam Altman took the stand to defend himself against Elon Musk's lawsuit challenging OpenAI's corporate structure. Musk's lawsuit alleges that OpenAI's founders "stole a charity" when they launched a for-profit subsidiary. Musk's Allegations and Altman's Response Altman described Musk's allegations as "difficult to wrap my head around" and emphasized that OpenAI's foundation, with $200 billion in assets, is doing "incredible work." Musk's attorneys pointed out that OpenAI's foundation didn't have full-time employees until earlier this year, but OpenAI board chair Bret Taylor explained that this was due to the challenge of converting equity to cash. The Safety Commitment Debate Musk's lawyers questioned whether OpenAI's commitment to safety had been compromised as its commercial power grew. Altman revealed that in 2017, Musk's "specific plans on safety made me worry." He described a pivotal moment when Musk suggested that OpenAI should pass to his children if he were to die. Altman's Concerns About Musk's Management Altman testified that Musk's management tactics, which might have worked for engineering and manufacturing, didn't suit OpenAI. He claimed that Musk had demotivated key researchers and damaged the organization's culture. Altman defended the "sweat equity" of fellow cofounders Greg Brockman and Ilya Sutskever. The Aftermath and Current Lawsuit Musk ultimately left OpenAI's board and started competing AI initiatives. OpenAI's lawyers noted that Musk had been kept up to date and asked to participate in investments, which his lawsuits now claim corrupted the non-profit. A 2018 discussion about a Microsoft investment was described as a "good vibes meeting" where Musk shared memes on his phone.

The Unexpected Path to EurovisionSam Battle never set out to be a Eurovision contestant. A casual email to the BBC turned into an invitation to write a song for the contest, and he soon discovered he would be performing it himself as the UK entry.From Furby Synths to the Megadrone: Battle’s Museum of Resurrected TechBattle’s public space, This Museum (Not) Obsolete in Ramsgate, is a labyrinth of repurposed gadgets – Game Boys, Sega Megadrives, even a vacuum‑cleaner‑turned‑flamethrower. Its centerpiece, the Megadrone, is a modular synth built from roughly 1,000 oscillators that fills an entire side of the museum.Original project began after his indie band Zibra split in 2016.Over 700,000 YouTube subscribers follow his weekly builds.The Megadrone was later mini‑scaled into the portable Kosmo synth for the BBC writing session.Numbers Behind the Noise: YouTube Reach and Eurovision Odds700,000+ YouTube subscribers – a sizable fanbase for a niche creator.Song “Eins, Zwei, Drei” selected as the official UK entry after a 12‑hour studio marathon.Eurovision betting markets currently list the UK entry at 12th place out of 37, reflecting both curiosity and skepticism.Why a DIY Synth Maestro Matters for Britain’s Pop CultureBattle’s win‑or‑lose outcome will signal whether Britain’s music scene can embrace avant‑garde, maker‑culture acts on a mainstream platform. His blend of humor, DIY engineering, and nostalgic synth sounds challenges the formulaic pop that usually dominates Eurovision, potentially inspiring a new wave of “tech‑musician” artists.What’s Next for Look Mum No Computer After Vienna?Tour the Megadrone across Europe as a live‑performance installation.Expand the museum with interactive workshops for schools, leveraging the Eurovision spotlight.Potential collaborations with major labels seeking fresh, hardware‑centric sounds.

Executive summary: Vapi’s $500 M valuation milestoneVapi announced a $50 million Series B led by Peak XV Partners, lifting its post‑money valuation to roughly $500 million. The round follows Amazon Ring’s decision to route 100 % of its inbound calls through Vapi’s AI voice platform.Amazon Ring selects Vapi to power 100 % of inbound callsDuring the holiday surge of 2025, Ring evaluated over 40 AI voice vendors before choosing Vapi for its ability to give engineers granular control over live‑customer interactions. Ring’s VP of software development, Jason Mitura, reported higher customer‑satisfaction scores and faster iteration without deep engineering involvement.Funding round and valuation metricsSeries B amount: $50 millionLead investor: Peak XV PartnersParticipating investors: M12 (Microsoft), Kleiner Perkins, Bessemer Venture PartnersTotal funding to date: $72 millionPost‑money valuation: ~$500 millionAnnual recurring revenue run‑rate: eight‑figure (healthy)Implications for the AI voice market and enterprise call centersThe partnership demonstrates a shift toward AI agents that combine low‑latency voice infrastructure with enterprise‑level control over reliability, compliance, and model behavior. Vapi’s platform now handles over 1 billion calls, processing between 1 million and 5 million calls daily, with customers such as Kavak, Instawork, New York Life, UnityAI, Cherry, and Intuit.Future outlook for Vapi and AI voice adoptionWith a workforce of ~100 employees and plans to expand engineering, infrastructure, and go‑to‑market teams, Vapi is positioned to capitalize on the “golden problem” of taming large language models for voice. Analysts expect continued growth in enterprise AI voice deployments, and Vapi’s focus on the orchestration layer could differentiate it from rivals such as Sierra, Decagon, and ElevenLabs.

GM’s Strategic IT Workforce ReductionGeneral Motors announced a deliberate 10% cut to its IT organization, laying off around 600 salaried employees. The automaker frames the action as a preparation for a future driven by artificial intelligence.Details of the 10% IT Layoff and Skill‑SwapThe layoffs, first reported by Bloomberg and confirmed to TechCrunch, are part of a skills‑swap strategy: removing roles that no longer align with the company’s AI roadmap and opening positions for professionals with AI‑native development, data engineering, cloud engineering, and prompt‑engineering expertise.GM continues hiring for the same IT department, but only for AI‑focused skill sets.Key capabilities sought include model training, pipeline engineering, agent development, and AI workflow design.Numbers Behind the Restructuring~600 IT employees laid off (≈10% of the department).In August 2024, GM cut about 1,000 software workers in a separate wave.Recent AI‑centric hires: Behrad Toghi (AI lead, ex‑Apple) and Rashed Haq (VP of autonomous vehicles, former Cruise AI head).Implications for the Automotive and Enterprise AI LandscapeThe restructuring illustrates how large manufacturers are moving beyond superficial AI adoption. By rebuilding the workforce from the ground up, GM is positioning itself to develop proprietary AI models and pipelines, a trend likely to ripple across the automotive supply chain and other capital‑intensive industries.What GM’s AI‑Centric Hiring Signals for the FutureAnalysts expect more enterprises to follow GM’s playbook: systematic talent turnover aimed at embedding AI expertise across core engineering functions. As AI‑native roles become the new baseline, we may see a surge in demand for prompt engineers, model engineers, and cloud‑AI architects, reshaping hiring markets and university curricula alike.

Why CAR T‑Cell Therapy Is Being Called a Game‑ChangerProf Misty Jenkins of the Walter and Eliza Hall Institute describes the therapy as a "game‑changer" because it re‑programs a patient’s own T‑cells to hunt cancer with unprecedented precision. The recent remission of Sam Neill after a Sydney trial has thrust the technology into the public eye, illustrating the potential of a single infusion to achieve durable responses. How the Therapy Works and Recent Clinical SuccessesCAR (chimeric antigen receptor) T‑cell therapy involves three core steps:Extracting a patient’s T‑cells from blood.Genetically engineering them to express a synthetic "GPS" that recognises cancer‑specific proteins.Expanding the modified cells and infusing them back, where they multiply and seek out tumours.Key milestones highlighted in the article:Four CAR T‑cell products approved by Australia’s Therapeutic Goods Administration since 2018, all for blood cancers.Early trials show promise against solid tumours such as gastrointestinal and paediatric brain cancers.In‑vivo approaches are being explored to deliver the therapy via injection, potentially slashing production costs. Cost, Approval Landscape and Funding Milestones in AustraliaCurrent price tag for a single CAR T‑cell course can exceed AU$500,000 per patient.The federal government announced that Carvykti for multiple myeloma will be provided free in public hospitals, a treatment that otherwise costs over AU$200,000.Four approved therapies since 2018 indicate a rapidly expanding regulatory environment, but access remains uneven across states. Implications for Australian Cancer Care and the Global Immunotherapy RaceThe success of CAR T‑cell therapy could reshape Australia’s oncology landscape by:Reducing relapse rates – the therapy can act as a "living drug" that persists in the body.Driving investment in domestic manufacturing capabilities, essential for sovereign supply and cost control.Positioning Australia as a leader in next‑generation immunotherapies, provided research funding keeps pace. What the Next Five Years May Hold for CAR T‑Cell TreatmentsExperts anticipate several developments:Broader approvals for solid‑tumour indications as GPS targeting becomes more precise.Commercial rollout of in‑vivo CAR T‑cell vaccines, potentially lowering treatment costs by an order of magnitude.Policy reforms to integrate CAR T‑cell therapy into standard public‑hospital pathways, ensuring equitable access.While optimism is high, Assoc Prof Maté Biro cautions that "hope is warranted, but so is impatience" – the next wave of breakthroughs will depend on sustained scientific investment and swift regulatory action.

The Guardian released a new podcast episode titled The AI jailbreakers, where journalist Jamie Bartlett sits down with researcher Annie Kelly to dissect the underground movement that tests the boundaries of today’s most advanced chatbots.Podcast Uncovers the Tactics Behind AI JailbreaksIn the hour‑long conversation, Bartlett and Kelly map out how actors exploit prompts, system messages, and external tools to coax models such as ChatGPT, Gemini, Grok and Claude into producing prohibited content. They highlight three core techniques:Prompt engineering: chaining innocuous queries to bypass safety filters.Context injection: feeding the model with fabricated system instructions that override its guardrails.Tool‑assisted loops: using APIs or browser extensions to automate repeated jailbreak attempts.Scale of Jailbreak Attempts and Model VulnerabilitiesWhile exact numbers are scarce, the hosts cite recent research indicating:Over 10,000 distinct jailbreak prompts have been catalogued across major LLMs in the past year.Success rates vary by model, with open‑source variants showing 30‑40% higher breach rates than proprietary systems.Each successful breach can expose hundreds of megabytes of filtered training data or generate disallowed content at scale.Why Jailbreaks Threaten Trust in Generative AIThe discussion moves beyond technical tricks to the broader societal stakes. Unchecked jailbreaks can:Facilitate the spread of hate speech, extremist propaganda, or illegal instructions.Erode user confidence, prompting regulators to impose stricter compliance regimes.Accelerate an arms race between jailbreakers and AI developers, diverting resources from innovation to defense.Future of AI Safety: Anticipating the Next Wave of Jailbreak DefensesBoth guests agree that the next phase will involve layered defenses:Dynamic safety layers: real‑time monitoring that adapts to emerging jailbreak patterns.Transparency dashboards: public logs of attempted breaches to inform policy and research.Collaborative bounty programs: incentivizing ethical hackers to report vulnerabilities before malicious actors exploit them.As AI systems become more embedded in daily life, understanding the mindset of jailbreakers will be crucial for building resilient, trustworthy models.

The UK's Busiest May Bank Holiday in YearsDrivers across the UK are being warned to expect unprecedented levels of traffic during the upcoming May bank holiday weekend, with the RAC motoring organization predicting the busiest period for motorists since 2016. Despite high fuel prices and potential weather changes, millions of leisure trips are expected to create significant congestion on major roads.Record-Breaking Traffic PredictionsThe RAC has forecasted more than 19 million leisure trips by car over the long weekend from Friday to Monday, marking the highest volume since 2016. Friday will see early getaways meeting commuter traffic and school runs, while late Saturday morning has been pinpointed as the peak time for cars on the roads. The M5 from Bristol to Taunton is expected to be a particular congestion black spot as drivers head to Devon and Cornwall.Traveler Behavior Despite Economic PressuresDespite the surge in pump prices since the start of hostilities in the Middle East, the research reveals that only 6% of drivers surveyed were deterred from traveling. Almost 40% of respondents were planning an overnight break or day trip, indicating a strong determination to enjoy the long weekend despite economic pressures. This resilience in travel plans suggests that the desire for leisure activities is outweighing concerns about fuel costs for most motorists.Railway Disruptions Across the NetworkWhile roads face heavy traffic, railway passengers will also face challenges as engineering works disrupt services across the country. Network Rail has confirmed that the "vast majority" of Britain's railway network will be open as usual, but with "some notable exceptions." The east coast mainline will be shut between York and Darlington for three days from Saturday, adding hours to journeys between London and Edinburgh or Newcastle. Additionally, Liverpool's Lime Street station will be closed all day on Sunday and until noon on Monday, while London's Charing Cross and Waterloo East stations will also be closed for the same period.Future Outlook for Holiday TravelAs the UK continues to recover from various economic and social disruptions, the high volume of bank holiday traffic may indicate a return to pre-pandemic travel patterns. Network Rail's group director Anit Chandarana advises everyone to "plan ahead and check before they travel," suggesting that future bank holidays may see similar levels of disruption. The resilience of travel plans despite economic pressures indicates that leisure travel remains a priority for many UK residents, potentially leading to continued high demand during future holiday periods.

The 'Seat at the Table' Movement: Hamilton's Governance ChallengeSeven-time champion Lewis Hamilton has formally requested a 'seat at the table' in Formula One's decision-making processes, arguing that drivers are currently excluded from the strategic direction of the sport despite being the primary users of the machinery. Speaking ahead of the Miami Grand Prix, Hamilton emphasized that while drivers engage with the FIA and F1, their lack of formal stakeholder status prevents them from influencing the sport's trajectory.Hamilton cited the recent implementation of emergency rule adjustments as evidence of the need for earlier collaboration. 'All the drivers we do work together, we all meet but the fact is we don’t have a seat at the table,' he stated. 'We do engage with the FIA and F1, F1’s more often a little bit more responsive. But being that we’re not stakeholders, we don’t have a seat at the table currently, which I think needs to change.'The Technical & Strategic Impact of the 50-50 Power SplitThe demand for influence comes at a critical juncture as the sport grapples with the fallout from the new regulations introduced this season. The regulations mandate a near 50-50 split between combustion and electrical energy, a shift that has fundamentally altered driving dynamics and strategy.Driver Discontent: The new energy management requirements have dominated lap approaches, leading to widespread criticism across the grid.Max Verstappen's Dilemma: The reigning champion has been vocal about his disenchantment, stating he is considering his future in the sport due to the impact of the rules.Structural Flaws: Lance Stroll described the current car as 'fundamentally flawed,' arguing that the business interests of F1 often supersede the engineering needs of the drivers.From Dissent to Dialogue: The Future of F1 GovernanceThe conversation has shifted from mere criticism to a structured demand for partnership. Lando Norris, echoing Hamilton's sentiment, highlighted the importance of the Grand Prix Driver's Association (GPDA) in aligning the grid's interests. Norris suggested that while drivers may not always have the full business picture, their input is essential for a 'win-win' scenario that benefits both the sport and the fans.With the new rule adjustments now in effect, there is a guarded optimism that the immediate technical issues will be resolved. However, the broader implication is a potential restructuring of F1's governance model. If the FIA and Liberty Media grant drivers a formal role in the regulation process, it could mark a permanent shift from a purely business-centric model to a more collaborative engineering approach, ensuring that the voices of those on the track are heard before the rules are set.

In a Thursday post on X, Sam Altman confirmed that OpenAI will begin a controlled release of its GPT‑5.5‑powered cybersecurity suite, Cyber, to “critical cyber defenders” after publicly criticizing Anthropic for limiting access to its own tool, Mythos. OpenAI Mirrors Anthropic’s Gatekeeping with Cyber The announcement marks a clear shift from OpenAI’s earlier open‑access stance on its AI models. By restricting Cyber, the company aligns itself with Anthropic’s approach, positioning the limitation as a responsible safeguard against misuse. Application Process and Core Capabilities Prospective users must submit a detailed application outlining credentials, organizational role, and intended use cases. Cyber is designed for penetration testing, vulnerability identification (including exploitation), and malware reverse engineering. The toolkit aims to help enterprises discover security gaps and validate defenses before adversaries can exploit them. Security Community Reactions and Market Implications Industry observers see the move as both a protective measure and a competitive signal. While some praise the caution, others worry that limiting access could slow broader adoption of AI‑enhanced security solutions and give rivals a strategic edge. What’s Next for AI‑Powered Cyber Tools? OpenAI has indicated plans to broaden Cyber’s availability after consulting with U.S. government agencies and verifying user legitimacy. The trajectory suggests a phased expansion, with potential policy frameworks shaping how AI security tools are deployed across the sector.