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The Masterpiece of John Woo The title of this 1990 John Woo extravaganza might lead the uninitiated to expect a chillingly focused, targeted assassination. Actually, there are innumerable bullets and innumerable heads in this over-the-top gonzo spectacle. It is a crime thriller, a wartime action film set in Vietnam, but it offers something other than the usual Hollywood perspective; it is a parable of greed comparable to The Treasure of the Sierra Madre, and even a kind of romantic melodrama. The Symbolic Bullet There is, however, one key bullet in a head, a literal bullet lodged in the skull of someone who achieves a macabre zombie-like semi-survival, the bullet being symbolic of the way violence takes root in the brain, dehumanising its victim. The final “boardroom” scene disclosing this image is toweringly mad and strange. Yet in this movie, as in so many other Woo films, we can see how the director counterintuitively uses sad music – harmonica, woodwind – over grisly, brutal action sequences, as if what he wants us to register is not the violence or the shock but just how poignantly futile and pathetic it all is. The Plot Unfolds The setting is – initially – late 60s Hong Kong; Tony Leung plays Ben, a young guy getting married to his sweetheart Jane (Fennie Yuen), and on hand are his buddies Frank (Jacky Cheung) and Paul (Waise Lee). This trio are involved in a gang war with a rival mob who corner Frank when he has gone to get cash from the local moneylender to pay for the wedding. The confrontation ends in violence and, simply to get away and avoid the heat – Woo has a cameo as a police inspector – the three guys accept a crooked job from a local gang boss smuggling contraband pharmaceuticals in Vietnam. The Climax In Saigon, all their plans explode in pure anarchy; they are at first arrested under suspicion of working for the Vietcong, then upgrade their strategy to cynical arms smuggling for the North Vietnamese, and stealing the gold belonging to the local wiseguy who was supposed to be distributing their drugs. They make contact with a worldly fixer called Luke (Simon Yam), who has a Catherine Deneuve poster in his apartment, and also gallantly undertake to rescue a Hong Kong singer Sally (Yolinda Yam), who has been trafficked to Vietnam to sell sex. They end up on the spectacular field of battle itself (with helicopters, explosions, burning villages), where Paul, increasingly obsessed with the gold, finds himself at a key moment at mortal risk of detection if he cannot keep the wounded Frank quiet, whose cries of pain might alert the enemy to their position. The Legacy It’s an extraordinary, uninhibited barnstormer from Woo, who takes us from regular, domestic crime to military chaos with confidence and sweep. One moment, in which someone stands in front of a tank, even appears to echo the Tiananmen Square protests. No one else could have made it. The Release Bullet in the Head is in UK cinemas from 1 June, and on 4K UHD and Blu-ray from 22 June.

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.

Spurs Force Game 7 with Wembanyama’s 28‑Point PerformanceIn Game 6 of the Western Conference finals, the San Antonio Spurs crushed the Oklahoma City Thunder 118‑91, advancing the series to a decisive Game 7 on Saturday in Oklahoma City.Early Explosions and Defensive Stands Define the ContestWembanyama set the tone within the first 90 seconds, sinking two three‑pointers and blocking a shot. The Spurs surged ahead, hitting eight first‑quarter threes (three from Wembanyama) while the Thunder managed only one of six attempts from beyond the arc.San Antonio built a 15‑point lead early in the second quarter, weathered a Thunder comeback that trimmed the deficit to five, and then pulled away with a 20‑0 run late in the third quarter. Oklahoma City endured a 14‑shot streak without a make and went nearly eight minutes between points.Stat Line Highlights and Series TrendsVictor Wembanyama: 28 points, 10 rebounds, 2 three‑pointers, 1 blockDylan Harper (Spurs bench): 18 pointsStephon Castle (Spurs): 17 points, 9 assists, 1 turnoverShai Gilgeous‑Alexander (Thunder): 15 points on 6‑of‑18 shooting – his lowest output since a 14‑point game in the 2025 finalsThunder bench: 38 points (Spurs bench: 46 points)Thunder’s third‑quarter scoring: 13 points – fewest in a quarter this seasonImplications for the Western Conference FinalsThe decisive win underscores the Spurs’ ability to translate Wembanyama’s talent into team defense and bench production. Coach Mitch Johnson’s demand for more from his star after Game 5 was met, and the Thunder’s decision to sit key players (Gilgeous‑Alexander, Chet Holmgren, Isaiah Hartenstein) in the fourth quarter highlighted depth concerns.Oklahoma City now faces a must‑win scenario in Game 7, needing to rebound from a demoralizing loss and find offensive rhythm without the early spark that characterized their series‑opening victories.What to Expect in Game 7 in Oklahoma CityGame 7 will likely hinge on:Whether the Thunder can re‑establish perimeter shooting after a 1‑of‑6 start in Game 6.How the Spurs’ bench continues to out‑score the Thunder’s reserves.Wembanyama’s ability to dominate both ends – his early aggression in Game 6 suggests he will look to repeat the opening burst.Coach Mark Daigneault’s adjustments, especially regarding rotation and defensive assignments against San Antonio’s interior threats.The winner will advance to face the New York Knicks in the NBA finals, making the upcoming showdown a pivotal moment for both franchises.

The LeadBlue Origin's New Glenn rocket exploded during a test in Florida on Thursday, an incident which the aerospace company called an "anomaly." All personnel have been accounted for, and the company has promised to provide updates as they learn more about what caused the explosion.The Explosion DetailsA livestream posted by NSF, an aerospace news organization, captured the fiery plume of the explosion. Homes shook in nearby Cape Canaveral and Cocoa Beach around 9pm, with residents turning to social media to ask what happened. Cape Canaveral Space Force Station's Launch Complex 36 is visible from the beach, and the internet quickly filled with photos of the orange fireball. Emergency officials confirmed there was no threat due to fumes or other potential hazards.Recent Setbacks for Blue OriginThis explosion marks another setback for Blue Origin, which is owned by Amazon founder Jeff Bezos. The New Glenn rocket was already grounded in April, as the Federal Aviation Administration required Blue Origin to investigate an engine mishap. The FAA has not yet commented on whether Thursday's explosion will trigger another investigation.Industry Competition ImplicationsThe incident comes at a critical time for Blue Origin's space ambitions. Earlier this week, NASA announced it had chosen Blue Origin over Elon Musk's SpaceX to conduct the first of three uncrewed lunar missions this year to kickstart construction of a $20 billion moon base. Both companies are competing to provide crew landers for upcoming Artemis missions, including the planned 2028 return of humans to the moon on Artemis IV. Both companies have built large new facilities in or close to Cape Canaveral's Kennedy Space Center to support crewed and cargo missions in partnership with NASA.Future Outlook for Blue OriginDespite the explosion, Blue Origin's space ambitions remain significant. The company has a vested interest in space tourism, having sent an all-female, star-studded crew including Gayle King and Katy Perry into space last April. Elon Musk, whose SpaceX lost the NASA contract to Blue Origin, commented on the incident, writing "Most unfortunate. Rockets are hard." This latest explosion may delay Blue Origin's timeline but is unlikely to derail their long-term space exploration goals, though it may create opportunities for competitors like SpaceX to gain ground in the increasingly competitive private space race.

The US Strikes on Bandar Abbas The United States has carried out strikes near Bandar Abbas, the second attack in less than a week on Iran’s strategically important port city, escalating tensions around the Strait of Hormuz despite a fragile ceasefire that has been in place between Washington and Tehran since April 8. Details of the Attack Reuters and The Associated Press, quoting unnamed US officials, reported that US forces shot down four Iranian drones and struck a ground control station for drones on Wednesday in Bandar Abbas. The strikes followed explosions in Bandar Abbas on Tuesday. Iran’s Ministry of Foreign Affairs accused Washington of violating the ceasefire through “aggressive acts” in Hormozgan province, where the port city is located. Significance of Bandar Abbas Bandar Abbas, home to key Iranian naval forces, occupies one of the most strategically sensitive positions in the Gulf. Its location on the Strait of Hormuz has made it central to both Iran’s military position and the wider confrontation with the US. Bandar Abbas lies on Iran’s southern coast, on the northern side of the Strait of Hormuz, the narrow waterway linking the Gulf to the Gulf of Oman and Arabian Sea. The city had a population of more than 526,000 people at the time of Iran’s 2016 census. Military Significance Bandar Abbas is the headquarters of both Iran’s conventional navy and the naval arm of the Islamic Revolutionary Guard Corps (IRGC). The conventional navy has used it as its base since 1977 when Iran moved much of its fleet from Khorramshahr at the western edge of Iran’s Gulf coastline, to Bandar Abbas, transforming the city into the country’s main southern naval command centre. According to the Middle East Institute, the IRGC navy later relocated its headquarters from Tehran to Bandar Abbas to improve operational control along the Strait of Hormuz. Economic Importance The Strait of Hormuz is not just a military chokepoint but also an economic lifeline. Analysts estimated that more than 90 percent of Iranian crude shipments transit through the strait. That makes Bandar Abbas and nearby Gulf infrastructure critical to government revenues, including the trade networks that help Iran circumvent sanctions, particularly by exporting oil to China. Impact on Peace Negotiations Diplomatic and military operations are unfolding simultaneously as Iran and the US have exchanged a volley of proposals and counterproposals for peace since the ceasefire began. “This is unfolding on parallel tracks. There is a military track and a negotiating track all unfolding at the same time,” said Samir Puri, a visiting lecturer in war studies at King’s College London. “The negotiators can only present the leverage they have from the field of battle.

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 US Strikes Near Bandar Abbas The United States has carried out new strikes near Iran's Bandar Abbas port, targeting what it described as military threats to its forces and maritime traffic in the Strait of Hormuz, according to reports. Iranian media said the explosions caused no casualties or property damage. Escalating Tensions in the Strait of Hormuz The latest developments come amid rising tensions around the Strait of Hormuz, a key global shipping route that has become a major flashpoint in negotiations and confrontations involving Iran and the US. Iran's Response to the Strikes Iranian state media reported explosions near Bandar Abbas port and the Strait of Hormuz for the second time since Tuesday, amid rising tensions in one of the key flashpoints in Iran-US negotiations. Iran's Tasnim news agency, quoting a military source, said the IRGC Navy fired on a US tanker, accused of crossing the Strait of Hormuz with its radar turned off. Diplomatic Efforts and Sanctions US President Donald Trump said Iran would receive no sanctions relief under any agreement and insisted Tehran would surrender its enriched uranium stockpile, despite Iran repeatedly rejecting those demands. The US Treasury Department added Iran's Persian Gulf Strait Authority to its sanctions list, targeting the body Tehran created to manage ship transit requests through the Strait of Hormuz. Regional Reactions and Developments Kuwait's military said its air defences intercepted 'hostile' missiles and drones as warning sirens sounded across the country. The Israeli military ordered residents of parts of Tyre city and Zaqqoq al-Mufdi in southern Lebanon to vacate the area immediately and move north of the Zahrani River.

The Lingering DistrustSenior Iranian lawmaker Abbas Moghtadaei described the situation to state television on Tuesday as: 'The fundamental principle is distrust towards America.' This sentiment comes as an Iranian delegation, led by Parliament Speaker Mohammad Bagher Ghalibaf, returned to Tehran from Qatar amid efforts to reach an understanding with the United States on ending the nearly three-month-long war on the country.The Recent EscalationHours earlier, the Ministry of Foreign Affairs accused Washington of committing a 'blatant violation' of the shaky ceasefire reached on April 8 by attacking the southern province of Hormozgan on Monday night. The Ministry added that the strikes validated the 'deep suspicion' Iran harboured towards the US.The Data AnalysisThe war has lasted for nearly three months.Iranian armed forces fired back and shot down a US-made RQ-4 drone.A tanker reported an external explosion and fuel leak some 60 nautical miles east of Oman’s capital city Muscat.The Impact AnalysisNicole Grajewski, an assistant professor at Sciences Po’s Center for International Research, said many in the Iranian leadership appear concerned that an agreement could simply provide operational pause, intelligence access or political cover before the US and Israel launch another round of large-scale attacks on the country.The PredictionFor a deal to succeed, the Iranian leadership will need to believe that some sanctions relief will be tangible and fast. Iran will also seek to preserve enough of a deterrence mechanism and symbolic dignity to avoid looking defeated, and ensure that the agreement prevents another war from breaking out in the future.

The Immediate Reaction: Tehran Labels US Strikes a Gross ViolationThe Iranian foreign ministry described the latest US strikes in Hormozgan province as a “gross violation” of the cease‑fire that has held since early April. The statement underscores Tehran’s view that the attacks undermine ongoing diplomatic overtures and threaten regional stability.Escalation on the Ground: IRGC Aerospace Force Readies Counter‑StrikeSeyed Majid Moosavi, commander of the Revolutionary Guard’s Aerospace Force, posted on X that the force remains “highly vigilant, fully prepared for a decisive, swift response.” He added that negotiations with the “enemy” amount to “pure loss” and that final orders await the commander‑in‑chief.IRGC controls Iran’s strategic ballistic‑missile and drone programmes.Air defence units claim to have downed a US drone and engaged another drone and a fighter jet.Financial Stakes: $24 bn Frozen Funds and Oil Market ShockNegotiators in Doha, led by Mohammad Baqr Qalibaf, are pushing for the release of roughly $24 bn in Iranian assets frozen abroad. The unfreezing of these funds is described as the last major sticking point in a memorandum of understanding that could ease the blockade of the Strait of Hormuz.The broader conflict has already triggered an “unprecedented oil supply shock,” lifting global oil, fuel, fertilizer and food prices.Regional Ripple Effects: Shipping, Diplomacy, and Israeli InvolvementBoth sides have hinted at a framework that would reopen the Strait of Hormuz for at least 30 days, while more complex issues such as Iran’s nuclear programme would be addressed later. Meanwhile, the United Kingdom Maritime Trade Operations reported a tanker explosion near Muscat, with some bunker fuel spilling into the sea.Israeli Prime Minister Benjamin Netanyahu announced intensified strikes against Hezbollah in Lebanon, adding another layer of tension. Analysts warn that Israeli escalation could jeopardise any US‑Iran deal.Looking Ahead: Scenarios for the Iran‑US StandoffExperts outline three likely trajectories:Diplomatic breakthrough: Successful release of frozen funds and a limited cease‑fire could restore limited shipping through the Strait.Escalated military exchange: Continued US air strikes and IRGC retaliation may widen the conflict, drawing in regional actors.Stalemate with economic fallout: Prolonged tension keeps oil markets volatile, pressuring global inflation.All parties appear poised to test the limits of the current “gross violation” narrative, making the next weeks critical for regional security and global markets.