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The Launch of Sesame's Conversational AI On Thursday, the AI startup Sesame, co-founded by Oculus' founders and others from the VR company that sold to Meta, released a public preview of the conversational AI agents it's been developing for over a year. With its new iOS app, Sesame is rethinking the traditional AI chatbot experience popularized by apps like ChatGPT, creating one where conversation flows, even if the AI needs time to think. Reimagining AI Conversation Flow As the company explains in its launch announcement, "There's an inherent tension between replying quickly and taking the time to compose thoughtful responses. A slower response is usually more correct, but it can also feel unnatural if it takes too long." To address this challenge, Sesame claims to have built fast search and retrieval systems, so the AI can have up-to-date information, as well as technology that allows it to run multiple parallel searches while speaking, weaving those results into its responses as it talks. That means the AI will talk more like a human, even pivoting mid-sentence if need be, as it taps into newer information — as a human might when remembering another key fact or point they want to add. User Growth and Development Milestones The app offers four distinct AI agents called Maya, Miles, Simone, and Charlie, each of which have their own distinct voice, personality, point of view, and memory. Maya and Miles were previously available in Sesame's Research Preview of its technology, where they were soon accessed by over one million people within the first few weeks, said Sesame investor Sequoia at the time. (The company had then just raised its $250 million Series B from Sequoia and others and was opening up a beta.) During the beta, Sesame learned from user feedback and rolled out features such as search cards with image results for visualizing concepts, notes for capturing takeaways, a texting mode for those times when speaking aloud is not an option, and support for deep dives where you can get more in-depth results. There's also a new incognito mode for private conversations, which allows the agents access to prior context but saves nothing to memory. Transforming the AI Landscape The app, however, is only the first step toward Sesame's bigger plans for AI involving intelligent eyewear, which the team expects to launch in 2027. Before that, the agents will also learn to do more than just think with you, Sesame hints, suggesting they'll later be able to take action on your behalf — hence why they're called "agents" in the first place, instead of just chatbots. That is potentially even more interesting, as working with agentic tools or apps today requires being able to prompt for what you need and have a specific idea of what you want to happen, and sometimes, even how it should happen. A conversational agent that you could talk to naturally could help you take the next steps, without you having to perfect the command you're giving it. The Road to AI-Powered Eyewear The iOS app is out today in 39 countries, and the full experience is free for the time being. However, there still may be a short waitlist at sign-up. An Android preview is coming in the future, the company says.

Bloomberg Leaks Reveal New Siri App Integrated with Dynamic Island Just before WWDC in June, Bloomberg published leaked renders of Apple’s upcoming AI upgrade for the iPhone. The screenshots depict a brand‑new Siri app that will launch from the Dynamic Island and replace the traditional button‑press activation in iOS 27. Users will also be able to swipe down on the home screen—leveraging the familiar Spotlight gesture—to invoke AI‑powered searches. Scale Advantage: Apple’s 2.5 Billion Devices vs ChatGPT’s 900 Million Users Apple’s install base: 2.5 billion active devices across iPhone, iPad, Mac, and wearables. ChatGPT weekly active users: 900 million. iOS version introducing the feature: iOS 27. New Siri app will support text, photo, and document uploads and retain chat history. Strategic Shift: Apple Leverages Google’s Gemini to Accelerate AI Rollout The leaked details confirm that Apple’s rebuilt AI model runs on Google’s Gemini technology under the hood. This mirrors Apple’s earlier multibillion‑dollar partnership that made Google the default search engine on iPhone. By tapping Gemini, Apple sidesteps the massive R&D costs of building a large‑scale model from scratch while still delivering cutting‑edge capabilities. Apple is also developing local AI models that run directly on devices, reinforcing its privacy‑first brand and reducing reliance on cloud processing. What Apple’s AI Push Means for the Mobile AI Landscape Post‑WWDC Analysts expect Apple to announce the standalone Siri app at WWDC, positioning it as a direct competitor to ChatGPT, Claude, and other generative chatbots. The integration with Dynamic Island and Spotlight suggests a seamless, on‑device experience that could accelerate user adoption, especially among the billions who have not yet embraced third‑party AI tools. If Apple rolls out the feature globally in the next iOS update, the company could leverage its massive ecosystem to set new standards for privacy‑preserving, AI‑enhanced mobile interactions.

The Rise of Recursive Self-Improvement in AIThe word "recursion" is the latest buzzword in AI circles. Two separate startups have taken on the name, and many more have started referencing recursive self-improvement (RSI) in their roadmaps. Like AGI before it, RSI has become a three-letter byword for a cataclysmic AI takeoff – even if there's still a little disagreement about what it exactly means.In basic terms, RSI refers to an AI system that can continuously upgrade itself. Once AI systems can manage the upgrade cycle better than humans, the process can become a closed loop, limited only by the compute power they can access, and humans are no longer necessary or even helpful.Scary or not, that's a vision that a lot of AI labs are eager to chase.Key Players Pursuing Recursive SystemsEarlier this month, well-known AI researcher Richard Socher launched the aptly named Recursive Superintelligence with RSI as an explicit goal. "Our main focus is to build truly recursive, self-improving superintelligence at scale," Socher told TechCrunch at launch, "which means that the entire process of ideation, implementation, and validation of research ideas would be automatic."A number of other prominent researchers are already chasing that same goal, hoping for a breakthrough that will make recursive self-improvement possible.One of the most prominent is Andrej Karpathy, a legendary figure from Tesla and OpenAI, who is using agent swarms to train LLMs on simple tasks for a project he calls Auto-Research. Karpathy has been unusually open about the project, tweeting about milestones regularly and making the building blocks available through a public GitHub repo. So far, the work has mostly been confined to making minor improvements on a GPT-2 scale model — as Karpathy noted in March, "It's not novel, ground-breaking 'research' (yet)" — but it's been enough to convince lots of other researchers to follow the RSI dream. And with Karpathy now working on pre-training at Anthropic, he will have plenty of opportunity to apply the idea at a larger scale.Adaption — founded by Cohere and Google alum Sara Hooker — recently launched a similar tool called AutoScientist in an effort to automate frontier training. Like Karpathy's auto-researchers, the system trains agents to make incremental improvements — but for Adaption, the goal is to make it easier to train a full-scale frontier model. If those same researchers start to push the frontier forward, the system could quickly spiral into something very much like RSI.Disarray founder Doris Xin drew more specific RSI interest when her self-trained machine learning agent took home 28 medals in a recent Kaggle competition, beating out many human-trained agents. As she sees it, the major challenge is reliability."I would argue, given infinite compute and infinite time horizon, we are already there," Xin told me. "I want to make an argument that this is not a creative endeavor, really. It's just a lot of meat-and-potatoes engineering."The Current State of Self-Improving AIThere's also plenty of evidence that the AI industry isn't very close to recursive systems in any meaningful way — and is still grappling with talking to a wary public about its progress. So Google CEO Sundar Pichai basically admitted in a recent podcast interview."It's a continuum, and we are all definitely making progress," Pichai said. "But in the way people describe RSI, that would represent a next level of acceleration and would have a lot of implications, but we aren't quite there yet."But the continuum includes an awful lot of self-improving AI systems.In January, one of Anthropic's lead programmers for Claude Code estimated that "close to 100%" of his team's code was written by the tool — a frank admission that Claude Code was literally writing itself.Just because engineers are using an AI tool doesn't mean the tool can replace them — but Anthropic seems to be getting close to replacing engineers too. In a recent survey tied to the Mythos preview, five out of 18 Anthropic engineers believed that, with harness improvements, this version of Mythos could soon substitute for an L4 engineer — a midlevel programmer who can take on involved projects without supervision.Still, there were some of the same weaknesses you might expect."Some of Claude's major reported weaknesses compared to an L4 include: self-managing week-long ambiguous tasks, understanding org priorities, taste, verification, instruction-following, and epistemics," the report reads.In other words, its weaknesses are everything involved with self-direction, which is the cornerstone for RSI. But sure, for everything else, Claude is ready to step right in.Expert Perspectives on RSI TimelinesJust like the AGI term before it, the AI industry also can't tell us how far away it is from showcasing a meaningful recursive system. When Georgetown's Center for Security and Emerging Technology assembled a group of experts to study RSI last year, the group found a major split in assessments — some expecting an imminent "superintelligence" style explosion while others expected slower progress and an eventual plateau. But all agreed that recursion made the future especially difficult to predict.Helen Toner, director of CSET and a former board member at OpenAI, told TechCrunch that simply using AI tools to do AI research isn't enough to qualify as RSI. "They're just using AI for as much as they can," Toner told TechCrunch. "And I think that is different from the classic definition of RSI, which is really that there are no humans needed."Toner pointed to a recent post by METR's Ajeya Cotra, which distinguishes different milestones on the path to the AI research takeover. One step, which Cotra calls "adequacy," would come when the system can still perform research after all humans are removed — even if the resulting research isn't as valuable or efficient. "Parity" comes when an AI-only system is as good at research as a human-only system. "Supremacy," the final stage, comes when an AI-only system outperforms a collaborative system between humans and AI.Ultimately, Cotra concludes that AI is very close to the adequacy threshold of being able to produce some work on its own — similar to the incremental changes made by Karpathy's Auto-Research system. "I wouldn't be totally shocked if you told me this milestone had already passed, and I expect it to happen in the next couple years," Cotra wrote.She was less clear on when parity will come, but once it does, she thinks it would "massively accelerate the pace of AI progress, leading to AI research supremacy within another year."The Challenges Ahead for Recursive AIWith so much of AI built on scaling laws, there's a strong tendency to think RSI will follow the same curve. Toner thinks that many of those pursuing AI research and development via RSI "think of it as a pretty smooth ladder, where you can just keep scaling up."But even if AI researchers are able to make incremental improvements like Karpathy's auto-researchers, there will be larger challenges in handing off the whole process of research. Toner put it in terms of the history of computing, which has seen human beings handing off more and more of the process while still directing things from the top."We went from machine languages to assembly language and compiled languages; you're getting further and further from the guts of the computer," Toner said. "But the human is still, in some intuitive sense, running the show."Moving beyond that paradigm will take significant challenges, both in engineering and alignment. But even with the massive investments happening, there's no infinite compute available — and the basic trade-off between human labor and machine intelligence will be hard to overcome.The Future of Recursive Self-ImprovementAs for a total recursive AI system of apocalyptic visions? The only thing researchers essentially agree on is that, like AGI, it's not here yet.

The Enterprise AI Market's Critical ShiftEnterprise organizations are not rejecting AI technology itself—they are rejecting operational instability. This fundamental misunderstanding is separating successful AI companies from those that stall after initial momentum, according to Databricks co-founder Arsalan Tavakoli-Shiraji.For years, AI startups benefited from a market driven by experimentation where impressive demos and powerful visions were sufficient to generate interest. Now, enterprises have moved beyond evaluating whether AI is exciting—they're assessing whether it's safe to deploy broadly.Tavakoli-Shiraji's Disrupt 2026 SessionAt TechCrunch Disrupt 2026, taking place October 13-15 at Moscone West in San Francisco, Tavakoli-Shiraji will unpack this critical shift during his AI Stage session, "The Enterprise Isn't Broken. Your Assumptions About It Are."The event will bring together 10,000+ founders, investors, and operators to explore technologies and operational pressures changing how companies are built and scaled, featuring 250+ sessions across six stages led by tech leaders.The Operational Reality of Enterprise AIThe enterprise AI market is filled with successful pilots that never became real deployments—not because the technology failed, but because organizations couldn't absorb the operational consequences of adoption.Startup AI deals rarely die because models underperform. They fail because enterprises lose confidence in what deployment would require. This distinction is crucial as many AI startups continue optimizing for initial excitement rather than long-term operational adoption.The New Enterprise AI Success FactorsAI startups gaining traction in large organizations increasingly share one common trait: they reduce uncertainty. They integrate cleanly into existing systems, create less workflow friction, and are easier to govern, explain internally, and trust over time.Enterprise buyers are now asking different questions:How will this affect our existing workflows?What happens when something goes wrong?How do we control and explain the outputs?What does deployment actually require from our teams?The Future of Enterprise AI AdoptionThe startups that succeed in enterprise AI over the next several years may not necessarily have the most advanced models. They will likely be the ones that best understand how enterprises actually absorb change.Tavakoli-Shiraji brings valuable perspective to this conversation, with a background spanning both enterprise strategy and technical systems architecture. Before joining Databricks, he was an associate principal at McKinsey & Company, advising enterprises on cloud computing and transformation strategy, and earned a PhD in computer science from UC Berkeley.

YouTube announced on May 28, 2026 that its Premium service will soon include an AI‑powered podcast recommendation tool, an “Auto speed” playback feature, and an on‑the‑go listening mode, aiming to deepen engagement with its growing podcast audience. AI‑Driven Podcast Recommendation Engine Launches The new recommendation tool leverages the same generative AI behind YouTube’s "Ask Music" to suggest podcasts based on genre, listener mood, or shows already enjoyed. Premium users will see personalized suggestions directly in the Podcasts tab, streamlining discovery without leaving the app. Auto Speed Playback and On‑the‑Go Mode Arrive on Android First Auto speed: Dynamically adjusts playback speed during slower speech or dense segments, preserving comprehension while reducing total listening time. On‑the‑go mode: Adds quick‑skip controls, episode‑jump shortcuts, and background‑play optimization for activities like running or commuting. Both features are live for Premium users on Android and will roll out to iOS in the coming months. Premium Podcast Consumption Metrics Highlight Growth Potential Premium users logged over 800 million hours of podcast playback in April 2026. YouTube Podcasts now boasts more than 1 billion monthly active users. The platform’s "Ask Music" already powers personalized radio stations, indicating a ready AI infrastructure for podcast recommendations. Strategic Play to Capture Audio‑First Audiences By enhancing discovery and hands‑free listening, YouTube is positioning itself against established audio platforms such as Spotify and Apple Podcasts, while also responding to Netflix's recent push into video podcasts. The focus on AI personalization and adaptive playback reflects a broader industry shift toward seamless, user‑centric audio experiences. What This Means for the Future of Podcast Platforms Analysts expect the AI recommendation engine to increase user retention, potentially driving Premium subscription growth by double‑digit percentages over the next year. If the Auto speed feature delivers measurable time‑saving benefits, it could set a new standard for intelligent playback, prompting competitors to develop similar adaptive technologies. The on‑the‑go mode further blurs the line between video and audio consumption, suggesting that YouTube will continue to integrate podcasting deeper into its core ecosystem.

The Final Days of Early Bird Pricing Time is running out to secure discounted tickets to TechCrunch Disrupt 2026. Early Bird pricing ends tomorrow, May 29, at 11:59 p.m. PT. After that, prices for the highly anticipated tech conference will increase. Unlock Savings of Up to $410 By registering now, you can lock in savings of up to $410 on your pass or up to 30% on group passes of 4+. Why Attend TechCrunch Disrupt 2026? TechCrunch Disrupt 2026, taking place from October 13–15 at San Francisco’s Moscone West, is a premier event for startups, investors, and tech enthusiasts. Here’s what you’ll gain by attending: Founder Pass: Accelerate growth with the right insights, tools, and connections. Meet investors aligned with your startup. Investor Pass: Discover standout startups and expand your portfolio with curated access. Use matchmaking tools to make every conversation count. Don’t Miss Out The window to the lowest ticket rates of the year is closing at 11:59 p.m. PT tomorrow, May 29. Register now to secure your ticket with up to a $410 discount.

Seizure of $232 Million Targets Cosa Nostra’s Financial EmpireOn Thursday, 2026‑05‑28, Italy’s financial police, the Guardia di Finanza, announced the confiscation of assets worth over $232 million that were tied to the late Mafia boss Matteo Messina Denaro. The operation traced funds through a web of companies, luxury properties, and offshore accounts that had been built since the 1980s.Scale of the Asset Freeze Across Europe and Offshore HavensCountries involved: Spain, Switzerland, Luxembourg, Monaco, LebanonOffshore jurisdictions: Cayman Islands, GibraltarKey asset types: luxury villas on Spain’s Costa del Sol, diversified financial portfolios, corporate holdings in various sectorsThe investigation also led to the arrest of three individuals who were suspected of managing the concealed wealth.Implications for Mafia Money Laundering and Regional SecurityChief anti‑Mafia prosecutor Giovanni Melillo described the seizure as a “major step in dismantling the group’s financial base.” By striking at the money‑laundering channels, authorities aim to cripple the Cosa Nostra’s ability to reinvest illicit proceeds into legitimate businesses, thereby reducing its influence over the Sicilian economy and beyond.Future of Anti‑Mafia Operations in Italy and EuropeThe use of advanced surveillance tools—drones, aircraft, and thermal scanners—demonstrates a shift toward high‑tech policing in organized‑crime cases. Analysts expect that the success of this operation will encourage further cross‑border cooperation, tighter monitoring of offshore flows, and more aggressive asset‑freezing measures throughout the EU.

Former Prime Minister Tony Blair has called for the UK to scrap its 2050 net‑zero goal and ramp up North Sea oil and gas drilling, prompting a swift backlash from climate experts who label the suggestion “bizarre” amid a historic heatwave and rising energy costs. Blair’s Call to Re‑Open North Sea Oil and Gas E3G programme director Ed Matthew warned that abandoning net zero during the “worst May heatwave on record” would be a “massive setback” for the UK, emphasizing that clean energy is cheaper and has near‑zero operating costs. Economic Stakes: £200 million Heatwave Losses and Fossil‑Fuel Costs Heat stress on livestock and crops is projected to cost the UK economy over £200 million this year. The International Energy Agency’s Fatih Birol notes that new oil fields would have “little impact” on domestic fuel prices. Renewable‑energy growth, especially record‑breaking solar generation, is already reducing household energy bills. Why Renewables Outperform Fossil Fuel Revival in the UK Analysts such as Jess Ralston (Energy and Climate Intelligence Unit) argue that expanding solar and other clean‑power technologies shields consumers from volatile fossil‑fuel markets and supports energy security as the North Sea declines. Comparisons to Spain’s renewable‑driven price stability reinforce the case for electrification as the “obvious route” to lower bills. What the Next Steps Mean for UK Energy Policy Government spokespersons confirm that no new exploration licences will be granted, focusing instead on managing existing fields for the remainder of their lifespan while accelerating the clean‑power mission championed by Energy Secretary Ed Miliband. If the current trajectory holds, the UK is likely to cement its position as a leader in renewable deployment, rendering calls to revive North Sea drilling increasingly marginal in policy debates.

The Escalation of Violence in Southern Lebanon At least 16 people have been killed and 58 wounded in Israeli attacks in southern Lebanon, according to Lebanese health authorities, as Israel intensifies its assault and issues mass displacement orders across the region. Details of the Attacks Lebanon’s state-run National News Agency reported on Thursday that six of the victims belonged to the same family. They were killed in an Israeli drone strike while trying to flee at dawn along the Adloun Highway, a key route linking Sidon and Tyre, it said. 6 victims belonged to the same family Killed in an Israeli drone strike Incident occurred along the Adloun Highway The Humanitarian Crisis The attack came as Israel expanded its bombardment across southern Lebanon, hitting residential areas, roads and civilian infrastructure. The Lebanese army said one of its soldiers was killed in an Israeli strike in the Nabatieh area, the latest in a string of attacks targeting military personnel. Displacement Orders Israel has also issued sweeping displacement orders covering large parts of the south, including Tyre and surrounding areas. Residents were told to evacuate immediately and move north of the Zahrani River, roughly 40km (25 miles) from the Lebanon-Israel border. The Impact on Civilians The International Committee of the Red Cross has warned that Israel’s large-scale forced displacements and continued strikes on urban centres are placing civilians at severe risk and deepening a humanitarian crisis. The Future Outlook The escalation came as United States-mediated talks between Israel and Lebanon are due to resume on Thursday, beginning with technical discussions before moving to broader negotiations in early June. However, Israel has significantly intensified its military operations in the past two days, casting doubt over the prospects for diplomacy.