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The Lead This week at TechCrunch’s StrictlyVC event in Athens, I sat down with three top VCs to discuss the current state of venture investing, the wave of mega-IPOs, and where they see opportunities in AI. VC Insights on AI and Mega-IPOs The conversation featured Niko Bonatsos of Verdict Capital, Andreas Stavropoulos of Threshold Ventures, and Ben Blume of Atomico. They discussed the potential impact of SpaceX's reported $1.75 trillion valuation at IPO, as well as the opportunities and challenges in the AI space. The Data Analysis SpaceX's potential $1.75 trillion valuation at IPO OpenAI and Anthropic potentially not far behind in terms of valuation Three-quarters of all venture capital raised over the last year went into five companies $500 million fund looking at the same opportunities as people investing from a $10 billion or $15 billion fund The Impact Analysis The VCs discussed how the current flood of capital into AI may be justified by future earnings, but also acknowledged the risk of extreme FOMO (fear of missing out). They also touched on the challenges of pricing deals when things are moving fast and the importance of looking beyond age as a proxy for entrepreneurial potential. The Prediction The VCs see opportunities in areas such as consumer fintech, AI interacting with the physical world, and robotics. They predict that the next generation of companies will be able to go after much larger markets and that immigrant founders will continue to play a significant role in driving innovation.

The Inflation Conundrum For such an uncannily successful politician, Donald Trump exhibits a perplexing political myopia. His most recent own-goal was endorsing Ken Paxton, a state attorney general, against four-term senator John Cornyn in the Republican primary for Senate in Texas. Trump's Inflationary Gambits What truly screams “I want us to lose the midterms” is what Trump is doing about inflation, which is becoming his most vulnerable issue. According to a New York Times/Siena poll of registered voters earlier in May, Trump’s approval on handling the cost of living is underwater by 42 percentage points. The Data Analysis Inflation rose at the fastest pace in three years in April, driven by the Iran war and other factors. The nationwide average price of regular gasoline is hovering around $4.50 a gallon, about $1.30 higher than a year ago. Consumer prices increased 3.8% in the year to April, their highest annual rate in two years. The Impact Analysis People’s attitudes about inflation are difficult to parse. They think less about the alphabet of indices policymakers focus on, such as CPI and PCE, and more about how much the price of eggs and gas have risen since they last remembered. The Prediction This may not be statistically robust, but since George HW Bush lost to Bill Clinton in 1992, there has been only one presidential election in a year with inflation as high as it is today. The incumbent, George W Bush, lost to Barack Obama.

Rising rates of youth unemployment have created a split at the top of government over how fast it should meet its promise to give young people the full minimum wage.The Manifesto Promise vs. The Reality CheckPeter Kyle, the business secretary, is understood to believe now is not the time to give 18- to 20-year-olds the full minimum wage, which Labour promised to do in its manifesto. Others believe there is little evidence to show that recent pay rises for low-paid workers have had any effect on unemployment.Torsten Bell, a Treasury minister, told the BBC on Friday morning: “If you look at what the Low Pay Commission said in their annual report, they didn’t find evidence that previous increases in the minimum wage for young people had had an effect on their employment.”The £125bn Cost of InactionThe splits have emerged following a landmark government-backed report this week by the former Labour minister Alan Milburn, who found that youth unemployment was costing Britain more than £125bn a year. Milburn’s report revealed the number of young people not working or studying had surpassed a million for the first time in more than a decade, prompting calls to reduce the pace of youth minimum wage increases.Current Youth Rate: £10.85 (up 8.5% this year)Main Minimum Wage: £12.71 (up 4.1% this year)NEETs (Not in Education, Employment, or Training): Over 1 millionThe Hospitality Sector DilemmaMilburn himself told the News Agents podcast this week: “To get the jobs there for them, you’ve got to make sure the employers are willing to take the risk. If you’re in, say, the hospitality sector or the retail sector, margins tend to be very low. These tend to be sectors that were really badly hit by the cost of living, hospitality in particular.”Tony Blair, the former prime minister, warned in an essay this week that policies such as increasing the minimum wage – which he brought in – had created “headwinds, not tailwinds, for businesses.”The October Low Pay Commission VerdictLabour promised in its manifesto to equalise the rates of the minimum wage for 18- to 20-year-olds with those of workers who are 21 and over but did not say how quickly this would be achieved. Bell said on Friday: “We’re committed to our manifesto that we stood on and we will deliver it. But that manifesto did not set out the timeline.”While he and others in the government believe they should slow down the pace of rises in youth rates of the national minimum wage if there is evidence that it has an impact on employment, they do not yet believe that evidence exists.The commission will tell the government in October what it is recommending for the financial year starting on 1 April 2027; some in government privately hope it will give a recommendation significantly lower than this year’s. Earlier this year ministers even changed their guidance to the LPC to reflect the concerns in government over unemployment among young people, telling it to prioritise employment rates instead.

The Inevitable Integration of AI in DevelopmentIn 2026, artificial intelligence has become an inseparable tool for developers, yet this reliance may be masking a critical productivity crisis.Researchers at METR discovered that most developers will not participate in studies without AI assistance.This dependency suggests a psychological shift where AI is no longer viewed as an assistant but a requirement.The "Tokenmaxxing" Crisis and Budget BlowoutsThe trend of measuring productivity by token usage, known as "tokenmaxxing," has led to significant financial waste.Amazon shut down its internal leaderboard, Kirorank, after employees gamed the system to run up costs.Uber reportedly exhausted its 2026 AI budget in just four months without measurable project increases.Self-reported data shows a 2x increase in perceived value, but independent analysis suggests 44% of tokens are spent fixing bugs generated by AI.Code review tools indicate AI produces 1.7x more problems than human code.The Hidden Cost of Speed: Maintenance and QualityWhile AI generates code faster, it introduces long-term maintenance costs that developers are currently ignoring.Programmer James Shore warns that trading a temporary speed boost for permanent indenture is a dangerous strategy.Researchers from Singapore Management University have confirmed that AI-generated code can introduce significant long-term maintenance burdens.The Future of Human-AI CollaborationThe industry is moving toward a model where AI is a junior developer that requires constant oversight.Scott Wu (Cognition) admits his AI agent Devin is currently a junior-to-mid-level programmer.Experts recommend that humans must review AI work as carefully as they would a junior developer's code.Software architecture and security design must remain human-centric tasks.

The Revolutionary GeneticistCraig Venter, the pioneering geneticist who revolutionized genome sequencing and challenged traditional scientific approaches, has died at age 79. His announcement at the 2001 BioVision conference that humans possess only about 30,000 genes—far fewer than the previously estimated 100,000—shattered scientific assumptions about genetic determinism. "We simply do not have enough genes for this idea of biological determinism to be right," Venter declared, emphasizing that human diversity is shaped primarily by environmental influences rather than hard-wired genetic code.The Breakthrough in Genome SequencingVenter's most significant contribution was developing the revolutionary whole genome shotgun sequencing technique, which allowed for faster, more efficient genome mapping. In 1995, his team achieved the remarkable feat of sequencing the first genome of a living organism, the bacterium Haemophilus influenzae. This breakthrough led to the founding of Celera Genomics in 1998, which aimed to sequence the entire human genome using Venter's innovative methods.The competition between Venter's privately funded Celera and the publicly funded Human Genome Project, spearheaded by the US government and UK's Wellcome Trust, created what scientists described as "testosterone-driven" rivalry. Despite tensions, this competition dramatically accelerated progress in genomics research, culminating in the announcement of the first draft human genome sequence at a White House ceremony in June 2000.The Scientific MaverickVenter was as famous for his bold personality as for his scientific achievements. A brilliant entrepreneur and unapologetic self-promoter, he enjoyed showcasing his success, private plane, yacht, and luxury watches. This flamboyant approach made him both admired and controversial. James Watson, co-discoverer of DNA's double-helix structure, compared Venter to Hitler for attempting to patent human genes, while others nicknamed him "Darth" Venter after the Star Wars villain.His tendency to break scientific protocols became evident when he revealed that much of the DNA used in Celera's human genome sequencing came from his own cells—a decision that annoyed scientists who felt he had subverted standard processes. "I've been accused of that so many times, I've got over it," Venter responded, noting that the analysis revealed he had an abnormal fat metabolism and elevated risk of Alzheimer's disease.A Life Shaped by Science and WarBorn in Salt Lake City, Utah, Venter had an unconventional path to scientific greatness. Growing up in California, he had a poor academic record and initially pursued "pursuits that involved drink, girls and bodysurfing" rather than education. His life took a dramatic turn during the Vietnam War, where he served as a senior corpsman in a naval hospital's intensive care unit in Da Nang."I witnessed several hundred soldiers die, more often than not while I was massaging their hearts – at times with my bare hand – or attempting to breathe life into them," Venter recalled. "Vietnam would teach me more than I ever wanted to know about the fragility of life." This experience sparked his interest in life sciences, leading him to study at the University of California, San Diego, where he earned a PhD in physiology and pharmacology in 1975.The Legacy of a Scientific PioneerAfter being dismissed as head of Celera in 2002, Venter used his substantial payoff to endow the J. Craig Venter Institute with $100 million. There, he pursued ambitious projects including designing energy-producing microbes and synthesizing bacterial genomes. He later founded Human Longevity and Diploid Genomics, companies that aim to combine artificial intelligence with advances in aging research and gene sequencing to extend human lifespans and improve disease diagnosis.While some of Venter's claims about the primacy of environmental influences over genetics have been questioned, his impact on genomics research remains undeniable. His revolutionary sequencing techniques transformed the field, and his competitive approach accelerated what would have otherwise been a much slower process of mapping the human genome. As the scientific community remembers Craig Venter, it acknowledges a complex figure who was simultaneously a brilliant innovator, a controversial competitor, and a transformative force in our understanding of life's fundamental building blocks.

The Birth of a Classic The Mekons and Gang of Four emerged from the same fine art course at Leeds University. After being inspired by the Clash and the Sex Pistols, the Mekons formed and recorded their first single, 'Never Been in a Riot', on a two-track tape recorder in a living room. The Making of 'Where Were You?' For their song 'Where Were You?', Bob Last from the Fast Product label helped them record at Spaceward in Cambridge. The song came together quickly with Kevin Lycett strumming two chords, Tom playing a choppy counter-melody, and Jon on drums. Mark White wrote the lyrics, and Andy Corrigan sang them. The Impact of 'Where Were You?' 'Where Were You?' became a huge success, selling over 27,000 copies and receiving significant airplay from John Peel. The song gained even more popularity when David Bowie compared the Mekons to T. Rex on a Radio 1 programme. The Legacy of 'Where Were You?' The song has remained a classic, with the Mekons still playing it live almost 50 years later. The song's lyrics, influenced by Buzzcocks' Pete Shelley, deal with themes of loneliness and feminism. The Mekons' decision to include women in the band and their anti-macho approach to music set them apart from other rock bands at the time. The Song's Enduring Influence 'Where Were You?' continues to have an impact, with the song being used in an advert for Honda's Acura cars and generating a substantial amount of money for the band. The Mekons' story serves as a testament to the power of creativity and perseverance in the music industry.

The Return of a Shakespearean Legend Kenneth Branagh is said to have played 35 Shakespearean parts, and his return to the Royal Shakespeare Company after more than 30 years is an event in itself. In this production of The Tempest, Branagh takes on the role of Prospero, Shakespeare's magician, deposed duke, and tyrant occupier. A Stormy Beginning Branagh's Prospero initially follows in the vein of his fast and feverish King Lear, performed in the West End in 2023. He seems to be speeding through the part rather than inhabiting it, too puckish, almost larky, rather underwhelming. However, the show itself casts its spell through its enchanting sights, sounds, and ensemble accomplishments. A Visual and Musical Feast Richard Eyre, directing his first Shakespeare play at Stratford, does a stupendous job of bringing an overt sense of performance to the production. The set design by Bob Crowley is enthralling, almost Disney-like with its sparkly, floaty elements, casting spells over the audience with its visual thrills and beautifully choreographed movement. A Strong Ensemble Cast The ensemble cast delivers strong performances, with Amara Okereke as Ariel being a delight, with her beautiful movement and song. The scenes featuring Caliban (Ashley Zhangazha), Stephano (Guy Henry), and Trinculo (Keir Charles) as they plot rebellion, wink toward a music hall comedy sketch. A Deeper Exploration As Branagh slows down, the production takes on deeper, more plaintive shades, and the audience feels the emotional hit when Prospero declares that the rarer action is in virtue than in vengeance. Caliban is wordlessly habilitated back into his rightful role as ruler of the island in this ending, giving power to Prospero's transformation. A Must-See Production The production runs at the Royal Shakespeare theatre, Stratford-upon-Avon, until 20 June. It is a must-see for fans of Shakespeare, theatre, and Kenneth Branagh, offering a unique and unforgettable experience.

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 Rise of Cancoillotte: From Niche Product to Social Media SensationIn the village of Franois, eastern France, a stream of what looks like runny, beige gloop is being potted, packaged and dispatched for delivery as fast as it can be made. The freezer room, normally piled high with pallets of the product, is almost empty. This is cancoillotte - a cheese product that until recently was little known outside the eastern Franche-Comté region - and it's experiencing unprecedented demand.The Health Food Breakthrough: Why Cancoillotte Captured Influencers' AttentionUnlike most cheeses, cancoillotte is low in fat, high in protein, cheap and until recently something of a niche product outside the Franche-Comté, the region flanking France's border with Switzerland. This unique nutritional profile has made it a favorite among health and fitness influencers who want to enjoy cheese without compromising their dietary goals.Julie Morin, director of the Poitrey la Belle Étoile fromagerie near Besançon, and president of the Association for the Promotion of Cancoillotte, said the sudden demand had taken her and the region's 22 cancoillotte producers by surprise. "There's been a slow progression in sales of cancoillotte over the last seven years, but the influencers have produced a big boom, which we didn't expect," said Morin during a tour of the fromagerie established almost 150 years ago.The Economic Impact: Shortages and Production ChallengesThe boom in sales has resulted in what producers call a "rupture" in supplies - an unprecedented shortage of the product. "What with all the new enthusiasm for the cheese and the May bank holidays we couldn't produce as much as usual so we had a bit of a shortfall, but we're making it up," explained Morin. The sudden surge in demand has caught local producers off guard, with many struggling to scale up production quickly enough to meet the new market demand.Content creator Johan Papz, with 1.5 million followers on TikTok, called it "the best day" of his life when he tasted cancoillotte, adding: "My eating has changed forever." Influencer Itscindyoff has made 178 TikTok videos lauding cancoillotte and traveled 500km to the Franche-Comté to buy as many different flavors as possible.Regional Transformation: How Cancoillotte is Changing Franche-Comté's Food LandscapeFrance may be what Charles de Gaulle described as an ungovernable country of 246 kinds of cheese, but only one of them can claim to have won the hearts of fitness fanatics and social media influencers. This sudden popularity is transforming the local food industry in Franche-Comté, where cancoillotte has been produced for centuries.The cheese even has its own eating competition. Last year's winner, Maximilien Reverchon, put away 1.75kg at Larians-et-Munans in the Franche-Comté without the help of bread or biscuits. Such cultural recognition, combined with the social media buzz, is elevating cancoillotte from a regional specialty to a national phenomenon.The Future of Cancoillotte: Sustaining the MomentumUntil now, cancoillotte has been a product that was difficult to advertise. So we are surprised and happy it's become something of a craze and hoping it will last," said Morin. Local producers are now exploring ways to capitalize on this unexpected popularity while maintaining the traditional methods that give the cheese its unique character.Nicknamed "the glue" by some local people because of its sticky consistency, the history of cancoillotte is said to date from the middle ages in the Jura mountains. It went into production around the first world war when it became popular with soldiers on the frontline. This rich heritage, combined with its modern health credentials, positions cancoillotte for potential long-term success beyond its current social media moment.