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Why a Living AI Glossary Matters NowArtificial intelligence is reshaping every industry, but its rapid evolution has spawned a parallel explosion of terminology that can leave even seasoned technologists feeling insecure. TechCrunch’s new glossary aims to provide a single, regularly‑updated reference that translates the most common AI buzzwords into plain language.Key Definitions from AGI to RLHFThe article walks readers through a spectrum of concepts, including:Artificial General Intelligence (AGI) – AI that outperforms humans on most economically valuable tasks, as defined by OpenAI and Google DeepMind.AI Agent – An autonomous tool that can perform multi‑step tasks such as expense filing, ticket booking, or code maintenance.API Endpoints – “Buttons” that let software components interact, enabling agents to automate third‑party services.Chain‑of‑Thought Reasoning – A technique that breaks problems into intermediate steps to improve accuracy.Compute – The hardware (GPUs, CPUs, TPUs) that powers AI model training and inference.Deep Learning – Multi‑layered neural networks that learn features directly from data.Diffusion – The process behind many generative AI models that learns to reverse noise‑added data.Distillation – A teacher‑student method for creating smaller, faster models like GPT‑4 Turbo.Fine‑Tuning – Adding task‑specific data to a pre‑trained model to improve performance.GAN – Generative Adversarial Networks that pit a generator against a discriminator to produce realistic outputs.Hallucination – When models generate inaccurate or fabricated information.Inference – Running a trained model to make predictions, often accelerated by specialized hardware.LLM – Large Language Models that power assistants such as ChatGPT, Claude, Gemini, and Llama.Memory Cache (KV Caching) – An optimization that stores intermediate calculations to speed up inference.Open Source vs. Closed Source – The debate over publicly available model code (e.g., Meta’s Llama) versus proprietary systems (e.g., OpenAI’s GPT).Parallelization – Executing many calculations simultaneously, a cornerstone of modern AI hardware.RAMageddon – The current shortage of memory chips driven by AI data‑center demand.Recursive Self‑Improvement (RSI) – Models that can redesign themselves, a potential step toward singularity.Reinforcement Learning from Human Feedback (RLHF) – Training models with reward signals to improve helpfulness and safety.Tokens & Throughput – The basic units of text processing that determine cost and performance.Quantifying the AI Vocabulary ExplosionThe glossary covers more than 30 distinct terms, each accompanied by concise explanations and links to deeper resources. By cataloguing this breadth, the piece highlights how quickly the AI lexicon has expanded within just a few years of mainstream adoption.Implications for Developers, Investors, and the PublicUnderstanding this terminology is no longer optional. For developers, clear definitions accelerate product building and reduce miscommunication when integrating APIs or deploying agents. Investors gain a sharper lens for evaluating startup pitches that hinge on concepts like fine‑tuning or distillation. Meanwhile, the broader public can better assess claims about “AGI” or “hallucinations,” mitigating hype‑driven misinformation.Future of AI Terminology and Industry AdoptionTechCrunch positions the glossary as a “living document,” promising regular updates as new techniques (e.g., emerging diffusion variants or next‑gen RLHF methods) appear. As AI systems become more autonomous and specialized, the vocabulary will continue to evolve, making ongoing education essential for anyone interacting with the technology.

The LeadIga Swiatek has called for the French Open to make changes to the layout of their courts after multiple players were forced to withdraw this week having been injured when tripping over obstacles at the back of the Roland Garros courts. The world number one player expressed concern that the current setup is not safe for competitors.The Court Safety CrisisThe most recent incident occurred on Friday when Turkish player Zeynep Sonmez ran into one of the Lacoste advertising boards placed at the back of the court and fell to the floor. After a medical time out, Sonmez, alongside her partner Tatjana Maria, was forced to retire from her second round doubles match while trailing 2-0.Earlier in the week, Belgian player Alexander Blockx was forced to withdraw after injuring himself on the rain covers at the back of a practice court. In a statement on Instagram, Blockx revealed: "Unfortunately during today's practice I heard a snap in my ankle while I sprained it thanks to the 'really necessary' covers at the back of the court at Roland Garros, which is why I had to withdraw from tomorrow's match."Great Britain's Katie Boulter also had a near miss, saying the boards need to be removed after she tripped on one during her second-round match. "THESE THINGS HAVE TO GO. Got lucky last night but next time I might not be…" she wrote on social media.Historical ContextThis is far from a new issue at Roland Garros, which uses these panels towards the back of the court to advertise their sponsors. In 2017, David Goffin was forced to retire from his third round match due to a similar incident. No other grand slam tournament places their rain covers behind the baseline, making the French Open unique in this aspect.The issue is particularly problematic on clay courts due to the tendency for players to move and defend from deeper positions on the surface. This increases the likelihood of players running into the obstacles at the back of the court during extended rallies.Tournament UniquenessThe French Open is the only big tournament that still uses line judges, with the tournament placing their boards next to lines people in the court. Arthur Ashe Stadium at the US Open is the only other grand slam court with advertising hoardings on the court, but those boards are pressed directly to the back wall, not placed in the playing area.This design choice has been a point of contention for years, with players consistently raising concerns about the safety implications of having obstacles in the playing area. Despite these concerns, the tournament has maintained this setup, citing tradition and sponsorship requirements.Player Reactions"I didn't see the incidents, but I heard about them," said Swiatek. "Obviously if these things happen, there needs to be a reaction, because there are other ways for us to be visible for sure, you know? It's a shame, and it shouldn't – I hope they're going to put them in a different place or just put the advertising in a different way there, because it's not safe for sure."After her straight sets win over Viktorija Golubic, Marta Kostyuk expressed skepticism that the tournament would make changes: "Honestly, I feel like there are some rules that no matter what happens, they just cannot be changed, and no matter how much you speak about it or how much you fight over it, it's just the rules. I don't know."Swiatek's Path ForwardDespite the concerns about court safety, Swiatek continues to build confidence and momentum in her first major tournament alongside her new coach, Francisco Roig. After projected tough opponents like Jelena Ostapenko and Elena Rybakina were eliminated in round two, Swiatek now faces a different challenge in the form of Marta Kostyuk.Kostyuk is on a 15-match winning streak and has not lost on clay this year after winning titles in Rouen and Madrid. "I definitely have a different feeling going into this match, because I feel like last time that I played her in Cincinnati, I lost this match way before it even started, and I don't feel the same this time," said Kostyuk.

The Royal Return to Epsom Downs King Charles and Queen Camilla will attend the 247th running of the Epsom Derby on June 6, reviving a traditional royal engagement that Queen Elizabeth II maintained for most of her 70-year reign. Their presence marks a significant moment for British horse racing, bringing renewed attention and prestige to one of the sport's most prestigious events. A Historic Tradition Revived The late Queen attended nearly every renewal of the Classic at Epsom Downs between 1953 and 2020, missing only two races during that period. Her attendance began just four days after her coronation in 1953, when her colt Aureole finished second in the race. King Charles and Queen Camilla were previously at Epsom in 2024 to watch the Oaks, which is run a day before the Derby, but their attendance for the track's most famous race represents a full return to tradition. Declining Attendance Figures The official attendance for the Derby in 2022 was 37,274, just 770 below the 2019 figure of 38,044, but last year's race pulled in only 22,787 fans. The significant decline in recent years has raised concerns about the future of the historic event. The royal attendance is expected to boost ticket sales and media coverage, potentially reversing this downward trend. Boost for British Horse Racing The king and queen are patrons of the Jockey Club, which owns and operates Epsom. Their attendance is seen as a proud moment for everyone connected with the racecourse, as royal presence has been synonymous with the meeting for generations. While the royal colors will not be involved in either the Derby or the Oaks, their string includes runners that could be entered on the Classic undercard races. Future Outlook for the Derby With the royal couple's attendance, the Epsom Derby is poised to regain its status as a highlight of the British social and sporting calendar. The event organizers hope this will mark the beginning of a sustained revival of interest in the race, potentially leading to increased investment in facilities and greater media coverage. The presence of the monarch may also encourage a new generation to engage with horse racing, ensuring the tradition continues for decades to come.

Record‑Breaking Temperatures Sweep EuropeA high‑pressure “heat dome” has locked over Europe this week, pushing daily maximums far beyond historical norms and sparking the continent’s hottest May on record.Heat Dome Drives Unprecedented May Highs Across the UK and IrelandThe United Kingdom set a new May maximum of 35.1 °C at Kew Gardens on Tuesday, eclipsing the 34.8 °C recorded just a day earlier. The previous record of 32.8 °C (first set in 1922 and matched in 1944) was therefore shattered twice in 48 hours. In Ireland, two stations logged 28.8 °C in Killarney and Clonmel, also breaking national May highs. Night‑time lows were equally extreme, with Camborne, England, falling only to 21.4 °C—a “tropical night” by definition.Temperature Extremes and Fatalities: The Numbers Behind the CrisisFrance recorded 36 °C on Monday and Tuesday, the hottest May days ever recorded there.A French government spokesperson linked seven deaths to the heat, either directly or indirectly.Across Europe, temperatures are running 10‑15 °C above the seasonal average.Projections indicate the continent will stay 5‑10 °C above average for the remainder of the week.In southeastern Australia, the Bureau of Meteorology warned of 40‑70 mm of rain in six‑hour periods, with isolated totals approaching 100 mm. Wind gusts of 65 mph (104 kph) were recorded in Narrabi, NSW.Implications for Public Health and Climate Resilience in EuropeThe combination of record heat and nighttime warmth raises the risk of heat‑related illnesses, especially among vulnerable populations. The French fatalities underscore how even short‑duration spikes can strain health systems. Moreover, the event highlights the growing frequency of extreme weather under climate change, prompting calls for stronger heat‑action plans, urban cooling strategies, and public awareness campaigns.Outlook: Cooling Trends and Ongoing Weather RisksModels suggest that the heat dome will gradually weaken, allowing the UK to see modest cooling early next week. However, the lingering warmth will keep temperatures above seasonal norms for several more days. Meanwhile, Australia remains on high alert for severe thunderstorms, with flash‑flood and hail threats persisting through Friday.

Olly Murs Steps Into the Unknown for Soccer AidOlly Murs recently completed a brutal 400km journey from Old Trafford in Manchester to the London Stadium by running, cycling and rowing – and raised £830,000 for Unicef. On Sunday, he will take part in the 20th annual Soccer Aid match, along with Jill Scott, Tom Hiddleston, Wayne Rooney, Jermain Defoe, Owen Cooper and Angry Ginge.Under the VinesPressing concerns: the first season of this breezy wine-making daytime drama saw chalk-and-cheese step-cousins Louis (Charles Edwards) and Daisy (Rebecca Gibney) grow close after jointly inheriting a kaput New Zealand vineyard. But as this second run begins, Louis seems set on heading back to London with his ex.Gardeners' WorldWith summer making an early appearance, now is the time to embrace Monty Don’s colourful, bold flowers. Only got a patio to play with? Rekha Mistry has big plans for a small space. And Carol Klein is discovering the science of what happens to a seed from the very moment it is sown.Hunting Britain’s Fugitives: DispatchesHow many people are at large in the UK, guilty of serious crimes, but on the run and easily evading the authorities? Lawbreakers may think justice will never catch up with them, but some are less successful at escaping the attentions of reporter Matt Shea, who takes it upon himself to track them down and, in spite of the potential threat of violence, confront them.PoniesAmerican widows Bea (Emilia Clarke) and Twila (Haley Lu Richardson) have made an impactful debut as spies in Moscow in 1977: they’ve burned down a pub. How can they top that? A confident comedy drama fleshes out its two protagonists by giving Bea a new mission that requires her to toughen up, while Twila benefits from letting her guard down.Smoggie QueensLike a more chaotic, camper Beautiful People, the series ends with a bang as the gang, through flashbacks, recount a cheating scandal that happened during the final of the Mr Teesside competition. Expect several unreliable narrators, fake chest hair and “Detective Sexy” (AKA Dickie wearing fake breasts and a Sherlock cap).Film choiceFuze (David Mackenzie, 2025), 6.15am, 12.10pm, 8pm, Sky Cinema Premiere. Two of the bookies’ favourites to be the next James Bond go head to head in David Mackenzie’s tense, rug-pulling thriller. Aaron Taylor-Johnson stars as no-nonsense army bomb disposal major Will Tranter, called to defuse a second world war bomb in central London.

The Plan Switzerland has qualified for the World Cup for the sixth time in a row and will head to the US west coast with high expectations. Coach Murat Yakin has set ambitious goals, stating, "We want to play the best World Cup seen from a Swiss team." Switzerland's World Cup History Switzerland has never advanced past the quarter-finals at the World Cup, with their last appearance at that stage being in 1954 on home soil. They have typically been eliminated in the last 16, as seen in their 2022 loss to Portugal. Group B Fixtures 13 June v Qatar, San Francisco (noon local, 8pm BST) 18 June v Bosnia and Herzegovina, Los Angeles (noon local, 8pm BST) 24 June v Canada, Vancouver (noon local, 8pm BST) The Coach: Murat Yakin Murat Yakin's appointment as coach in August 2021 was a surprise, given he was managing second-tier FC Schaffhausen at the time. Despite some challenges, he extended his contract to 2028 after a positive Euro 2024. Star Player: Granit Xhaka At 33, Granit Xhaka remains Switzerland's most important player, dictating the tempo of the game and ensuring a balance between defense and attack. This could be his last World Cup, but he may continue his international career afterward. One to Watch: Johan Manzambi Johan Manzambi, a Geneva-born midfielder, has impressed with his performances at Freiburg. Europe's top clubs are monitoring him, and he could become one of the most expensive Swiss transfers after the World Cup. Unsung Hero: Remo Freuler Remo Freuler, a midfielder from Zurich, has worked hard to reach the top. He complements Xhaka well in midfield, excelling in running capacity, one-on-one situations, and footballing intelligence.

Creating an Inclusive Space Robyn Steward, a 39-year-old autistic trumpeter, had never been to a nightclub before discovering Fabric in London. Inspired by its accessibility features, she decided to host her space-themed experimental music night, Robyn's Rocket, at the venue. The Event Details Robyn's Rocket aims to create a space where people with and without learning disabilities and autism can come together without any power dynamic. The event features detailed visual storyboards, tech and access riders, and a sensory dancefloor that transforms sound into tactile vibrations. The Data Analysis Steward's experience with autism and multiple disabilities, including cerebral palsy, informs her approach to creating an inclusive space. Robyn's Rocket has been running since 2017, booking noise bands, DJs, and improv groups in various London venues. The Impact Analysis The event's focus on integration and accessibility has a significant impact on the community. Steward's approach helps to break down barriers and create a sense of equality among attendees. The Prediction As Robyn's Rocket continues to grow and expand, it is likely to inspire more inclusive and accessible events in the future, promoting a culture of acceptance and understanding.

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.

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.