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The Stunning Upswing Daniel Dubois stunned Fabio Wardley with a brutal and bloody performance, coming back from two knockdowns to secure a victory in the 11th round and claim the World Boxing Organization's (WBO) World Heavyweight title. The Fight Details The intense all-British clash took place at the Co-Op Live Arena in Manchester, United Kingdom, on Saturday. Referee Howard Foster stepped in at the start of the 11th round to signal the end of the fight, with Wardley bleeding heavily from the bridge of his nose and his right eye almost closed. The Knockdowns and Comeback Dubois was dropped by a right hook in the first 10 seconds of the fight. He rose again in the third round but continued to pulverize Wardley. Dubois's relentless pressure forced Wardley's corner to inspect his facial wounds after the eighth round, with doctors and the referee taking a look in rounds nine and 10. The Aftermath Dubois's win marked his 23rd professional victory in 26 fights, while Wardley now has a 20-1-1 record. Veteran promoter Frank Warren, who manages both men, hailed the fight as the best heavyweight bout he had ever put on and confirmed there was a rematch clause in the contract. The Future Outlook With this victory, Dubois becomes a two-time World Heavyweight champion, having previously held the International Boxing Federation (IBF) title. The win sets the stage for potential future matchups in the heavyweight division, with Dubois looking to solidify his position as a top contender.

The Injury That Derailed the World No. 1World number one Aryna Sabalenka’s bid to defend her Italian Open title was halted in the third round by a physical setback. The Belarusian star lost 6-2, 3-6, 5-7 to Romania's Sorana Cirstea, a match that ended with Sabalenka requiring medical treatment late on.Sabalenka admitted that her body was limiting her performance, specifically citing a lower back issue connected to her hip that restricted her rotation. The match was marked by frustration, with Sabalenka muttering to herself and displaying a sloppy performance on centre court.The Statistical Toll of a Sluggish PerformanceBack-to-Back Setbacks: Sabalenka has now lost two consecutive matches, following a quarterfinal exit to Hailey Baptiste in Madrid.Clay Court Struggles: Despite a dominant hardcourt season (winning Brisbane, reaching the Australian Open final, and taking Indian Wells and Miami), her form on clay has been inconsistent.Cirstea's Historic Win: The 36-year-old Cirstea secured her first victory over a world number one in her final professional season.Shifting Dynamics for Roland GarrosThe French Open begins in less than two weeks, and Sabalenka's fitness is now the central narrative. As the defending champion, she faces a steep uphill battle if she cannot fully recover from the hip and back strain.The loss also highlights the volatility of the WTA tour, where even the top seed can be vulnerable to injury and fatigue. With the clay court season peaking, the physical toll is becoming a significant factor in the lead-up to Paris.Outlook for the Slams: Recovery vs. RivalryWhile Sabalenka focuses on recovery, Jannik Sinner is showcasing his own dominance, extending his winning streak to 24 matches. For the French Open, the key question remains whether Sabalenka can regain her peak physical condition or if her clay court struggles will continue into the Grand Slam stage.

The diplomatic chessboard between Washington and Tehran has reached a critical juncture. As the US waits for a response to a sweeping 14-point proposal designed to end the regional conflict and reopen the Strait of Hormuz, Tehran is signaling a deliberate delay, demanding a "fair and comprehensive" agreement rather than a rushed settlement. The Anatomy of the 14-Point Proposal The core of the US strategy hinges on a strict, time-bound technical framework. The proposal requires Iran to freeze its nuclear enrichment program for at least 12 years and hand over an estimated 440kg of uranium currently enriched to 60 percent. Furthermore, Tehran is expected to reopen the Strait of Hormuz within 30 days, a vital chokepoint for global energy markets. Key US Demands: 12-year nuclear freeze, hand over 440kg of uranium, reopen Strait of Hormuz. US Incentives: Sanctions relief and release of frozen assets. Current Status: Iran is reviewing the text; no official response yet. The Energy Crisis Context The urgency behind these talks is driven by the global energy crisis triggered by Tehran’s de facto blockade of the Strait of Hormuz. This waterway is the conduit for one-fifth of the world's crude oil and gas. The US decision to impose a naval blockade has escalated tensions, resulting in sporadic skirmishes that threaten to disrupt global supply chains further. Internal Power Dynamics and Regional Leverage Analysts suggest the delay is not merely bureaucratic but a calculated move to consolidate power and test US resolve. The proposal is described as an "extremely technical text," requiring approval from multiple Iranian power centers, culminating in a green light from Supreme Leader Mojtaba Khamenei. Iran is reportedly pursuing a "three-phase approach" that goes beyond the immediate ceasefire. They are demanding guarantees to permanently end the war on all fronts, including involving Hezbollah in Lebanon, and insisting on UN Security Council oversight—a demand the US has historically struggled to meet. Outlook: A Fragile Path to Negotiation The friction between the two sides is palpable. While President Donald Trump expresses optimism that a deal is "very possible," Iran’s Foreign Minister Abbas Araghchi has questioned the reliability of US leadership, citing past military adventures during negotiations. The immediate future hinges on whether Tehran can secure the strategic concessions it seeks—specifically maintaining influence over the Strait of Hormuz and avoiding a dismantling of its nuclear infrastructure. Until these internal and external conditions are met, the diplomatic window remains open but narrow.

Kylian Mbappe will miss Real Madrid’s decisive La Liga clash with Barcelona, despite training earlier in the week, leaving the Spanish giants to reshape their attack for the match at Camp Nou.The Squad Omission: Mbappe Left Out of El Clasico Line‑upReal Madrid announced a 21‑man roster for Sunday’s night game at the Camp Nou, and the French forward’s name was conspicuously absent. Vinicius Jr will spearhead the attack, flanked by Brahim Diaz and Gonzalo Torres. Midfielder Aurelien Tchouameni remains on the list despite a recent on‑field clash that resulted in a 500,000‑euro fine for both him and teammate Federico Valverde. Coach Alvaro Arbeloa cited a need for “effort and sacrifice” after Mbappe’s controversial holiday in Sardinia.Financial & Competitive Numbers: Fines, Points Gap, Title StakesEach fined player: 500,000 euros (≈$589,000).Barcelona lead: 11 points over Real Madrid.Potential record: A win for Barcelona would give them a chance to finish the season with 100 points, matching the all‑time La Liga record.League title: A draw for Barcelona would secure their 29th Spanish league crown with three games remaining.Strategic Ripple Effects: How Mbappe’s Absence Reshapes the Title RaceWithout their top scorer, Madrid must rely on a more collective approach. The omission underscores Arbeloa’s emphasis on team discipline and may galvanize the squad, but it also reduces Madrid’s firepower in a match that could decide the championship. Barcelona, entering as favourites, can exploit the void left by Mbappe, especially on a home pitch where they have been dominant this season.Looking Ahead: What the Next Weeks Hold for Madrid and FranceMbappe is expected to be fully fit for France’s World Cup 2026 campaign, with friendlies against Ivory Coast (June 4) and Northern Ireland (June 8) on his schedule. Should he return to form, Madrid could benefit in the remaining league fixtures, while his international performances will be closely watched ahead of the tournament opener against Senegal on June 16. Meanwhile, Arbeloa’s handling of the squad’s discipline will be a key narrative as the title race reaches its climax.

Breaking Down the Complex Language of AI Artificial intelligence is changing the world, and simultaneously inventing a whole new language to describe how it’s doing it. Spend five minutes reading about AI and you’ll run into LLMs, RAG, RLHF, and a dozen other terms that can make even very smart people in the tech world feel insecure. This glossary is our attempt to fix that. We update it regularly as the field evolves, so consider it a living document, much like the AI systems it describes. Artificial General Intelligence (AGI) Artificial general intelligence, or AGI, is a nebulous term. But it generally refers to AI that’s more capable than the average human at many, if not most, tasks. OpenAI CEO Sam Altman once described AGI as the “equivalent of a median human that you could hire as a co-worker.” Meanwhile, OpenAI’s charter defines AGI as “highly autonomous systems that outperform humans at most economically valuable work.” Google DeepMind’s understanding differs slightly from these two definitions; the lab views AGI as “AI that’s at least as capable as humans at most cognitive tasks.” Confused? Not to worry — so are experts at the forefront of AI research. AI Agent An AI agent refers to a tool that uses AI technologies to perform a series of tasks on your behalf — beyond what a more basic AI chatbot could do — such as filing expenses, booking tickets or a table at a restaurant, or even writing and maintaining code. However, as we’ve explained before, there are lots of moving pieces in this emergent space, so “AI agent” might mean different things to different people. Infrastructure is also still being built out to deliver on its envisaged capabilities. But the basic concept implies an autonomous system that may draw on multiple AI systems to carry out multistep tasks. API Endpoints Think of API endpoints as “buttons” on the back of a piece of software that other programs can press to make it do things. Developers use these interfaces to build integrations — for example, allowing one application to pull data from another, or enabling an AI agent to control third-party services directly without a human manually operating each interface. Most smart home devices and connected platforms have these hidden buttons available, even if ordinary users never see or interact with them. As AI agents grow more capable, they are increasingly able to find and use these endpoints on their own, opening up powerful — and sometimes unexpected — possibilities for automation. Chain-of-Thought Reasoning Given a simple question, a human brain can answer without even thinking too much about it — things like “which animal is taller, a giraffe or a cat?” But in many cases, you often need a pen and paper to come up with the right answer because there are intermediary steps. For instance, if a farmer has chickens and cows, and together they have 40 heads and 120 legs, you might need to write down a simple equation to come up with the answer (20 chickens and 20 cows). Coding Agent This is a more specific concept that an “AI agent,” which means a program that can take actions on its own, step by step, to complete a goal. A coding agent is a specialized version applied to software development. Rather than simply suggesting code for a human to review and paste in, a coding agent can write, test, and debug code autonomously, handling the kind of iterative, trial-and-error work that typically consumes a developer’s day. Compute Although somewhat of a multivalent term, compute generally refers to the vital computational power that allows AI models to operate. This type of processing fuels the AI industry, giving it the ability to train and deploy its powerful models. The term is often a shorthand for the kinds of hardware that provides the computational power — things like GPUs, CPUs, TPUs, and other forms of infrastructure that form the bedrock of the modern AI industry. Deep Learning A subset of self-improving machine learning in which AI algorithms are designed with a multi-layered, artificial neural network (ANN) structure. This allows them to make more complex correlations compared to simpler machine learning-based systems, such as linear models or decision trees.

The Intel Turnaround Gamble Intel's stock has risen a stunning 490% over the past year, reflecting Wall Street's bet on CEO Lip-Bu Tan's rescue plan for one of Silicon Valley's most storied chipmakers. This surge may be running ahead of the company's actual turnaround progress. Tan's Strategic Moves Tan took over as CEO in March of last year He secured a sweetheart deal with the U.S. government, now Intel's third-largest shareholder He partnered with Elon Musk on a factory deal He reportedly landed preliminary manufacturing agreements with Apple and Tesla The Challenging Fundamentals Despite these efforts, Intel's fundamentals remain messy: Chip yields lag well behind industry leader TSMC Employees report Tan has been light on specifics internally Some teams adjust missed deadlines rather than recover from them The Multibillion-Dollar Question Investors are betting big on the bigger picture, but the execution of Tan's plan remains uncertain. Whether Intel can deliver on its promises is the multibillion-dollar question.

The Final Hours: 50% Off Second Pass to TechCrunch Disrupt 2026 Time is running out to take advantage of the 50% off offer for a second pass to TechCrunch Disrupt 2026. Today, May 8th, is the last day to register and secure your spot at the premier tech conference in San Francisco. Unlock the Full Potential of Disrupt 2026 Attending Disrupt with a partner, co-founder, or colleague can significantly enhance your experience. You'll gain more insights, compare notes in real-time, and make informed decisions. The 50% off offer for a second pass is a unique opportunity to bring someone along and maximize your time at the conference. What You'll Gain at Disrupt 2026 Access to over 250 sessions, covering real-world playbooks and industry trends Opportunities to connect with key players, investors, and innovators Enhanced networking capabilities with a second pass The Cost of Waiting Missing this offer means more than just paying a higher price. It means attending the conference with a limited perspective, choosing between sessions, and processing information without the benefit of real-time discussion and feedback. Act Now and Save Don't miss your chance to save up to $410 on your pass and get 50% off a second pass. Register now and secure your spot at Disrupt 2026. The offer ends tonight at 11:59 p.m. PT.

Perplexity announced that its Personal Computer AI agent is now generally available to any macOS user through a dedicated desktop application, moving the technology from a cloud‑only model to the local machine.General‑Purpose AI Agent Moves From Cloud‑Only to Local Mac DevicesPersonal Computer expands the capabilities of the earlier Perplexity Computer by accessing local files, native macOS applications, and web resources.The app is distributed as a direct download and is not yet listed in the Mac App Store.It can be paired with Perplexity’s Comet browser to run web‑based tools without additional connectors.Subscription Model and Feature Set: What’s Included at LaunchRequires a Pro or Max subscription; the basic download is free.Supports integration with over 400 connectors and can orchestrate multi‑step workflows across apps.Designed for always‑on devices such as the Mac Mini and offers remote task approval via iPhone.Security Positioning Against Competing Local AgentsWhile competitors like OpenClaw have been criticized for elevated permissions and associated security risks, Perplexity markets Personal Computer as a “secure development environment” that keeps sensitive data on the device while processing in Perplexity’s servers.Future Roadmap: Deprecation of Legacy App and Expansion PlansThe older Perplexity Mac app will be phased out in the coming weeks.Perplexity hints at broader OS support and deeper integration with its AI ecosystem as adoption grows.Continued focus on remote accessibility suggests potential iOS‑only companion experiences.

The Power of Anthropic's Mythos Model When Anthropic unveiled its new Mythos model in April, it also delivered a stern warning to anyone developing software. The model was so powerful at sniffing out software vulnerabilities, the lab claimed, that it had discovered thousands of high-severity bugs that would need to be fixed before it could be made public. Improving Software Security with AI Now, security researchers for Mozilla's Firefox browser are providing a closer look at what that process has looked like in practice, and what Mythos' powers mean for software security at large. In a post published on Thursday, Mozilla said Mythos has unearthed a wealth of high-severity bugs, including some that had lain dormant in the code for more than a decade. The Data Behind the Discovery In April 2026, Firefox shipped 423 bug fixes, compared to just 31 exactly a year earlier. The researchers have also published details on 12 of the bugs, which range from a pair of unusual sandbox vulnerabilities, to a 15-year-old error in how the browser parses an HTML element. The Impact on Cybersecurity The fact that the system helped reveal vulnerabilities in Firefox's 'sandbox' system is particularly impressive, given how intricate an attack that exploits it needs to be. To find sandbox vulnerabilities, the model must write a compromised patch for the browser, then attack the most secure part of the software with the new code implemented. Finding and demonstrating the bug is a delicate, multi-step process, requiring both creativity and close attention. The Future of AI in Cybersecurity It's still not clear how AI's emerging capabilities will change the broader balance of power in cybersecurity. One month since Mythos was previewed, most of the bugs discovered likely haven't been patched, which makes it hard to capture the full scope of their impact. Anthropic has been scrupulous about following responsible disclosure norms, but it's likely bad actors are using similar techniques behind the scenes, even if the models they're using aren't quite as good. The Prediction Speaking at a recent event, Anthropic CEO Dario Amodei was optimistic that the new tools would ultimately favor defenders. 'If we handle this right, we could be in a better position than we started, because we fixed all these bugs. There are only so many bugs to find,' Amodei said. 'So I think there's a better world on the other side of this.'