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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.

Nvidia has committed over $40 billion to equity investments in AI companies during the first months of 2026, a mix of a massive $30 billion stake in OpenAI and several multi‑billion‑dollar deals with firms such as Corning and IREN. The spending underscores the chipmaker’s strategy to embed itself deeper into the AI ecosystem, even as critics label the moves “circular investments.”Strategic Stakes: From a $30 B OpenAI Bet to Multi‑Billion Deals with Corning and IRENAccording to CNBC, the bulk of the $40 billion total stems from a single $30 billion investment in OpenAI. In addition, Nvidia announced seven multi‑billion‑dollar equity placements, most recently up to $3.2 billion in glassmaker Corning and up to $2.1 billion in data‑center operator IREN. The chipmaker has also participated in roughly two dozen private‑startup rounds in 2026, adding to the 67 venture deals recorded in 2025.Numbers on the Table: Investment Breakdown and Deal VolumeTotal AI equity commitments in 2026 (first months): $40 billionFlagship OpenAI investment: $30 billionCorning deal size: up to $3.2 billionIREN deal size: up to $2.1 billionPublic‑company equity deals announced: 7Private‑startup rounds participated in 2026: ~24Industry Ripple Effects: Circular Investments and Competitive MoatsCritics argue the investments create “circular deals,” shuffling capital between Nvidia and its customers. Matthew Bryson of Wedbush Securities notes the pattern fits a “circular investment theme,” but adds that successful outcomes could reinforce Nvidia’s “competitive moat” by securing key AI workloads and data pipelines.What’s Next: Potential Outcomes for Nvidia’s AI EcosystemIf the funded companies deliver strong AI products, Nvidia could lock in long‑term demand for its GPUs and related hardware, strengthening its market dominance. Conversely, regulatory scrutiny over anticompetitive financing could arise. Analysts expect Nvidia to continue leveraging its balance sheet to shape the AI value chain throughout 2026 and beyond.

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.

The Fax Machine Bottleneck in Healthcare The US healthcare system faces a significant bottleneck in its administrative processes, particularly in the transition from primary care doctors to specialist visits. Despite advancements in AI and diagnostics, the manual processing of referrals, often via fax, leads to substantial delays. Basata's Solution Basata, founded by Kaled Alhanafi and Chetan Patel, aims to address this issue. Their AI-powered system reads and processes referral documents, extracts relevant clinical information, and uses an AI voice agent to schedule appointments directly with patients. The Data Analysis The company has processed referrals for roughly 500,000 patients to date, with 100,000 of those coming in the last month alone. Basata's revenue model is usage-based, charging practices per document processed and per call handled. The Impact Analysis The administrative burden in healthcare is a significant challenge. Specialty practices often receive hundreds or thousands of documents, mostly by fax, which small administrative teams struggle to process. This leads to patients being lost not due to a lack of desire to see them, but because of the intake backlog. The Prediction As the healthcare technology space continues to evolve, companies like Basata face the challenge of balancing augmentation and displacement of human workers. With $24.5 million in funding, including a new $21 million Series A round, Basata is poised to make a significant impact. The question remains whether AI will merely expand the capabilities of administrative staff or gradually make their functions unnecessary.

OpenAI is significantly upgrading its developer tools by introducing a suite of advanced voice intelligence features to its Realtime API. This move aims to transition voice interfaces from simple call-and-response mechanisms to sophisticated agents capable of reasoning, translating, and transcribing in real-time.The Evolution of Voice Interaction: Three New ModelsGPT-Realtime-2: The flagship model, upgraded with GPT-5-class reasoning, allowing it to handle complex, multi-turn conversations more effectively than its predecessor.GPT-Realtime-Translate: A real-time translation tool supporting 70 input languages and 13 output languages, designed to keep pace with conversational flow.GPT-Realtime-Whisper: A live transcription engine that captures speech-to-text interactions as they happen.Bridging the Gap: Technical Specifications and Language SupportThe core value proposition here is the shift from passive listening to active reasoning. By integrating these models, OpenAI is enabling applications that can "listen, reason, translate, transcribe, and take action" simultaneously. The translation feature is particularly robust, offering a wide array of linguistic support that suggests a focus on global accessibility and cross-border communication.Reshaping Enterprise Customer Service and AccessibilityThese updates are a direct hit on the enterprise market. Companies looking to upgrade customer service will find these tools essential for creating more empathetic and responsive support bots. Beyond customer service, the technology opens doors for educational tools, media platforms, and creator economies where real-time interaction is key. The inclusion of guardrails against spam and fraud indicates that OpenAI is prioritizing safety as these powerful tools move into production environments.The Future of Voice-First InterfacesWe can expect a rapid acceleration in the adoption of voice-first applications across all sectors. As these models become more accessible via the Realtime API, we will likely see a shift away from text-heavy interfaces toward more natural, conversational user experiences. The integration of GPT-5-class reasoning into voice models suggests that the "chatbot" era is giving way to the "agent" era, where voice is the primary interface for complex tasks.

The Deadline Approaches: Startup Battlefield 200 Applications Close May 27 Startup Battlefield 200 applications are open, but only for three more weeks. Apply by May 27 for your shot at VC access, global visibility, TechCrunch coverage, $100,000 equity-free, and more opportunities for major scaling impact. Who Should Apply: Pre-Series A Founders and Ambitious Startups Pre-Series A founders — and anyone who knows a startup worth backing — this is your reminder: The deadline is approaching fast, and the strongest contenders are already entering the arena. If your startup has been nominated, don’t wait. Complete your application now before the window closes. Know a startup that deserves to step into the spotlight? Nominate them now to give them time to complete the application by the deadline. The Opportunity: A Platform for Growth and Visibility This is not just another pitch competition. Startup Battlefield 200 puts you on the main stage at TechCrunch Disrupt 2026 in front of 10,000+ attendees, top-tier investors, media, and the global TechCrunch audience. You are competing live, getting direct VC feedback, and proving your company belongs among the next breakout startups. What We’re Looking For: Innovative and Ambitious Startups We’re looking for ambitious early-stage startups building innovative, potentially category-defining products. Applications are open globally across every industry. Most selected companies are pre-Series A, though select Series A startups may qualify case by case. A functional MVP and clear product demo are required. Most importantly, we’re looking for founders building with vision, execution, and real market impact. A Proven Track Record: Launchpad for Successful Startups This is the same launchpad where companies like Dropbox, Discord, Fitbit, Trello, and Mint gained early momentum. Thousands apply every year. Only 200 are selected. Just 20 finalists pitch live on the Disrupt Stage. One startup takes the crown. The Benefits: High ROI Opportunity for Early-Stage Founders Selected startups receive one of the highest ROI opportunities available to early-stage founders. It’s free to apply, and the potential return — from investor exposure to media coverage and customer growth — can create real scaling impact. The Final Push: Don’t Miss the Deadline Applications close May 27. The founders who break through are not waiting until the final hour — they are already making their move. If you are building something category-defining, or know a founder who is, now is the time to step forward. Nominate your startup — or one that deserves the spotlight — and complete your application before the deadline runs out.

TechCrunch Disrupt 2026 is positioning itself as the premier convergence point for the startup ecosystem, offering a critical window for visibility through its Expo Hall. For founders and operators, the event represents more than just a conference; it is a strategic opportunity to bypass the noise of traditional marketing and engage directly with a highly concentrated audience of capital and talent. The Epicenter of Startup Deal-Making The core of the Disrupt experience is the Expo Hall at Moscone West, which serves as the operational hub for the event from October 13–15. With over 10,000 founders, investors, and operators in attendance, the density of opportunity is unprecedented. Unlike passive trade shows where attendees wander aimlessly, the Disrupt Expo Hall is designed around 'intent.' Investors and decision-makers do not just walk the floor; they arrive with specific goals, making the environment significantly more effective than standard networking events. The Economics of Proximity: Valuing Intent Over Reach The value proposition of the Exhibitor Program is rooted in the cost of acquiring high-quality leads versus the cost of time. For $12,500, a startup secures a three-day presence in the highest-traffic area of the event, complete with a fully branded 6’ table, signage, and seating. However, the package extends beyond the booth itself. It includes access to networking events, media coverage, and the ability for teams to move through the venue, joining conversations where decisions are actually made. Direct Access: Positioning directly in the path of investors and operators. Operational Flexibility: Teams are equipped to operate beyond the booth, engaging in high-value conversations. Brand Credibility: Full branding and media exposure elevate the startup's profile. Why the Return Rate is High Startups consistently return to Disrupt year after year because the results are tangible. The event compresses the sales cycle; conversations that might take months to initiate can start and move forward within days. The high density of the Expo Hall creates an environment where ideas move quickly from introduction to opportunity. This is particularly valuable for early-stage and growth-stage companies ready to accelerate their market entry. The Future of Physical Networking As the startup ecosystem becomes increasingly digital, the value of physical proximity is rising. The Disrupt Expo Hall offers a unique advantage: it is a controlled environment where the 'noise' of the internet is filtered out, leaving only the signal of intent. For companies serious about growth, the exhibit table is not a luxury but a strategic necessity. The limited inventory of tables means that the opportunity to secure a spot is time-sensitive, making the decision to exhibit a race against competitors.

The Lead-Up to Elon Musk's Departure from OpenAI In late August 2017, key figures at OpenAI gathered to discuss creating a for-profit subsidiary to commercialize its technology and raise funds needed to realize Artificial General Intelligence (AGI). Elon Musk demanded full control of the company, but his co-founders, Greg Brockman and Sam Altman, proposed equal shares. The Heated Meeting That Changed Everything During a tense meeting, Musk became angry and upset when told the others would not accede to his demand for control. He stormed out of the room, grabbed a painting of a Tesla, and asked Brockman and Ilya Sutskever when they would be departing OpenAI. Musk stopped his regular donations to OpenAI's operating budget, and within six months, he would leave the board. The Data Analysis: Financial Impact of OpenAI's Growth OpenAI's growth was fueled by investments from Microsoft, including a $1 billion investment in 2019 and a further $13 billion over the next four years. This led to a significant increase in the company's valuation, with Brockman's current stake worth almost $30 billion. The Impact Analysis: Power Struggle and Its Consequences The power struggle between Musk and his co-founders had significant consequences for OpenAI. Musk's departure led to a change in the company's direction, with a greater focus on commercialization and fundraising. This ultimately fueled Musk's suspicions that Altman and Brockman had taken advantage of him, leading to a lawsuit in 2024. The Prediction: What's Next for OpenAI and Elon Musk The trial between Musk and OpenAI is expected to continue, with both sides presenting their cases. The outcome will likely have significant implications for the future of AI development and the relationships between key players in the industry.