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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 Rise of Machine-Generated Traffic Cloud infrastructure has long been designed around humans who search, click, scroll, and stream in a steady and predictable fashion. However, AI agents behave differently. They can unleash a swell of activity, spinning up multiple sub-agents that query hundreds of databases, search documents, and call APIs in seconds and then disappear as quickly as they arrived. AWS's Next-Gen OpenSearch Serverless Under that premise, Amazon is redesigning a core piece of its cloud infrastructure. On Thursday, AWS launched its next generation of OpenSearch Serverless, a fully managed search and vector database — essentially a system for storing and retrieving information at scale — that's designed specifically for agentic workloads. AWS says the new system can instantly scale up when agents trigger tasks and scale back down to zero when idle. The Data Analysis Cloudflare says bots accounted for 31% of overall HTTP traffic over the last six months. AI crawlers, search engines, and assistants made up roughly a quarter of all bot requests during that period. 'Non-human traffic will exceed human traffic sometime in the first half of 2027,' said Lai Yi Ohlsen, senior product manager at Cloudflare. The Impact Analysis The launch reflects a growing realization across the tech industry: Infrastructure originally designed for a human-driven internet doesn't work as well in a world increasingly populated by agents. As AI agents still represent a relatively small portion of internet activity, machine-generated traffic is already significant, and poised to grow. The Prediction As a result, cloud providers and infrastructure companies have been reckoning with how to adapt systems built for humans to a world of agents that are constantly and autonomously retrieving information, invoking tools, and generating machine-to-machine traffic. The more companies deploy AI agents, the more pressure there will be to redesign infrastructure around machine-generated workloads, which in turn could make agents cheaper and easier to deploy at larger scales.

Court Hands Assistant Over Three‑Year Prison TermOn Wednesday, a Los Angeles judge sentenced Kenneth Iwamasa, 61, to three years and five months in federal prison for distributing ketamine that led to the death of Matthew Perry. The punishment aligns with prosecutors’ request and caps the criminal probe into the five individuals linked to Perry’s 2023 overdose.Assistant’s Direct Role in Administering KetamineFrom 2022 to 2023 Iwamasa served as Perry’s live‑in personal assistant. In the three days before the actor was found dead in a hot tub, Iwamasa injected him with six to eight ketamine shots per day, according to court documents. Prosecutors say Iwamasa paid former doctor Salvador Plasencia at least $55,000 to obtain the drug, and also coordinated with drug dealer Jasveen Sangha and addiction counselor Erik Fleming.Sentencing Numbers and Comparative PenaltiesKenneth Iwamasa: 3 years 5 months prisonJasveen Sangha (ketamine supplier): 15 years prisonErik Fleming (middleman): 2 years prisonSalvador Plasencia (doctor who supplied Iwamasa): 30 months prisonMark Chavez (doctor who sold ketamine to Perry): 8 months home detention + 3 years supervised releaseThe court’s decisions reflect the varying degrees of culpability, from direct administration to supply chain facilitation.Broader Implications for Celebrity Assistance and Drug RegulationThe case underscores the power imbalance between high‑profile clients and personal staff, a dynamic that can enable illicit drug access. Hollywood insiders noted that assistants often lack the authority to refuse dangerous requests, raising questions about workplace protections and the need for stricter oversight of non‑medical personnel handling controlled substances.Looking Ahead: Tighter Enforcement and Preventive MeasuresLegal experts predict increased federal scrutiny of unlicensed drug distribution networks, especially when they intersect with celebrity circles. Expect more rigorous background checks for personal assistants, heightened monitoring of ketamine prescriptions, and potential legislative proposals to criminalize the facilitation of controlled‑substance use without medical credentials.

The LeadOne of Régis Le Bris's first acts as Sunderland's head coach was to preside over a pre-season training camp near Alicante. It was July 2024 and, according to those present, the Breton sometimes cut a slightly isolated figure. "I arrived alone, without any collaborators," Le Bris has said, reflecting on his leap of faith that involved exchanging the familiarity of Lorient for a job that, initially, meant working with Sunderland's existing backroom team rather than bringing hand-picked assistants.The Strategic Transformation at WearsideThe coach who ended last season with a Championship playoff final victory and, a year to the day later, led Sunderland into the Europa League was playing a longer game. "Step by step I started to express my ideas and my concepts," Le Bris said. Slowly but surely he also began to establish a power base on Wearside.Le Bris went unrecognised when, shortly before taking charge at the Stadium of Light, he slipped into the back of a lecture room where Sunderland's club historian, Rob Mason, was recounting the team's sometimes illustrious past. But within six months Le Bris would be serving as a magnet, his unshowy pulling power attracting some of football's brightest emerging talents.Everything changed in January 2025. Sunderland's young, inexperienced side were pushing for automatic promotion and, unusually, the owner, Kyril Louis-Dreyfus, allowed Le Bris rather than the then sporting director, Kristjaan Speakman, to take the lead on pursuing a statement signing.The Recruitment Revolution and Financial InvestmentLe Bris had first coached Enzo Le Fée as a 12-year-old in Lorient's academy and knew the playmaker's recent transfer, to Roma, was not working out. With Le Fée receptive to a loan, Louis-Dreyfus and Speakman began talking to Florent Ghisolfi, then Roma's sporting director.Ghisolfi was gaining a reputation as a shrewd, well-connected recruitment specialist, with his work at Lens and Nice seen as highly impressive. What went under the radar was that Ghisolfi had worked with Le Bris at Lorient and had tried to lure him to Nice.Louis-Dreyfus and Ghisolfi bonded and the idea of the latter relocating to Wearside as football director no longer seemed ridiculous. Sure enough he arrived last July, partnering with Speakman to sign 15 players. Including Le Fée, whose assists would help to clinch promotion.The presence of Le Fée and Ghisolfi ensured that when Louis-Dreyfus called Granit Xhaka out of the blue at 11pm last summer as the Switzerland captain was preparing for bed, the midfielder did not immediately cut the call.If it helped that Louis-Dreyfus is Swiss-French and knew Xhaka slightly through mutual acquaintances in Basel, Xhaka needed a little more convincing. Not that it took long for him to decide that swapping Bayer Leverkusen for a club managed by a coach who reminded him of his old Arsenal boss, Arsène Wenger, and serious enough to have acquired Le Fée and Ghisolfi, was an exchange worth making.Sunderland's long-serving club captain Luke O'Nien – who joined back in the League One days and now helps Xhaka run the dressing room, takes up the story. "I always say Enzo was the catalyst for all this," the defender says. "He was the first top player to trust us as a club and he's made a big contribution to where we are today. Enzo works so hard, he's unbelievably humble and, as good a player as he is, he's an even better person."The same could be said of Xhaka. In a recent interview with the Guardian Le Fée said: "Granit's arrival changed everything." Significantly, Xhaka played a key role in persuading one of Sunderland's stars of this season, the former Paris Saint-Germain defender Nordi Mukiele, to join. The pair had played together at Leverkusen and Mukiele says: "When Granit speaks you have to hear with both ears."With last summer's Ghisolfi-inspired £155m investment in, among others, Robin Roefs, Noah Sadiki, Habib Diarra, Omar Alderete, Reinildo, Chemsdine Talbi and Brian Brobbey paying rich dividends, Sunderland reached Le Bris's pre-season target of 40 points with a win at Leeds in early March and finished seventh.The Power Restructuring and Club CultureIn February Speakman departed, amicably if not exactly willingly, as it became clear Ghisolfi's arrival had made a large part of his role redundant. Other high-profile executive exits followed, prompting erroneous suggestions Le Bris could be next. In reality the coach who arrived "without collaborators" had built an on- and off-field support network the envy of many Premier League peers.Now, a cerebral manager whose natural courtesy and gentle humour are said to conceal a capacity to be "utterly ruthless" when necessary, faces twin tasks. He must nurture his power base and a tightly-bonded dressing room amid the demands of playing European football on Thursday nights.Xhaka, though, harbours few fears. "As Sunderland's captain I can promise you that this is the just the beginning," he says. "We want more."Le Bris, sensibly, talks of the need to "stay humble" and remember the essential "fragility" of footballing success, but he is also justifiably proud. "This club is a special place in English football and our journey is really special because we feel the connection, the alignment with our fans," he says. "It's a really nice feeling."The European Challenge and Future ProspectsThe impeccably polite, quietly unassuming Frenchman who spent his first two weeks in charge of Sunderland unnoticed by fellow guests at a County Durham hotel, no longer walks alone on Wearside. Having transformed the club's fortunes from Championship contenders to Europa League participants, Le Bris now faces the challenge of maintaining momentum while navigating the complexities of European competition.The question for Sunderland and their supporters is whether this remarkable ascent represents a temporary resurgence or the dawn of a new era for the Wearside club. With Le Bris's methodical approach, the backing of owner Kyril Louis-Dreyfus, and a squad increasingly filled with quality internationals, the foundations appear to be in place for sustained success at the highest level of English and European football.

The Familiar FinalYou could be forgiven for having a sense of deja vu before a fourth Champions League final between the Spanish champions, Barcelona, and French champions, Lyonnes, on Saturday evening.The three-time champions and eight-time champions played each other in the final of Europe's premier competition three times in six years between 2019 and 2024, with Lyonnes earning a 4-1 win over the Catalan giants in 2019 and a 3-1 win in 2022 before Barcelona delivered a 2-0 defeat of the French side in 2024.However, predicting the outcome could not be harder and Barcelona's talismanic No 11, Alexia Putellas, said there is little that can be discerned from those previous meetings. "We can't compare seasons and we can't compare finals," said the two-time Ballon d'Or winner. "Our squad has evolved a lot, so previous finals don't have an influence on the final we are playing tomorrow."The Tactical Chess MatchA lot has changed. Most notably, Lyonnes are now managed by Jonatan Giráldez, who was a coach at Barcelona as they claimed their maiden UWCL title and at the helm for their second and third. Few managers are better equipped to return Lyonnes to the top of European football after a three-year hiatus than the man who understands the way Barça work and exactly how they ended the domination of the French side.As a result, the tactical approach of those on the sidelines is perhaps the most interesting piece of the puzzle in Oslo's Ullevaal Stadion.Giráldez said of Barça's development since he left: "They have some different players but their identity remains the same; this will to dominate and apply pressure. Not thinking about the result as much as about the show and the performance, that's their identity. I feel privileged to face Barcelona as I'm grateful for the experience I had there and I wish them the best – except when we have to win!"Master and ApprenticeOne of Giráldez's two assistants, Pere Romeu, replaced him when he departed for Washington Spirit in June 2024. "We are the two teams that have done the most in this competition to reach the final in recent years," said Romeu. "Tomorrow is going to be a very demanding match. Tomorrow is going to be a match with a lot of quality from both teams. Tomorrow is going to be a match that, as in all finals, is going to be decided by small details. We are going to try to take care of and control it to the maximum."The 32-year-old Barcelona manager won a domestic treble in his first season in charge, but fell short in the Champions League final last season as Arsenal delivered a shock defeat."I see a team that is more mature than last season," said Romeu. "I see a team with greater capacity to change things during the game than last season and I think we have reached a good point."Putellas described Romeu as a "complete coach", before the showdown on Saturday. "We've been working together for several seasons now and he has always tried to help me evolve as a player, which I'm very grateful for," she said. "He's the most complete coach. This season I've tried to do the best I possibly can without forgetting my own qualities in order to help the team."Romeu is relishing the master-apprentice battle in such a significant game. "I, as a coach, am super-excited to be able to face this match against a former coach of the club in Jonatan," he said. "I'm sure we'll both do everything we can to keep our teams' identities and keep doing the best we can to win."Dominate DomesticallyBarcelona secured another domestic treble on Saturday with a 3-1 Copa de la Reina final win over Atlético Madrid in their final game before travelling to Norway. Meanwhile, Lyonnes are one game away from their own domestic treble, having dispatched Nantes with an emphatic 8-0 win in the semi-final of the Premiere Ligue play-offs, with the final between the holders and Paris FC, taking place next Friday.The Lyonnes midfielder Lily Yohannes told Uefa that the club "just have so much hunger in us," after their three-year European dry spell. "We have so much fight. No matter what happens, we stick together, we rise above the challenges, and we just have such a winning mentality in the group."The 35-year-old centre-back Wendie Renard, who has been involved in each of the club's record eight Champions League wins, similarly spoke about a togetherness and desire in the team after a disappointing European run last season."If I had to sum up our journey this season: dedication," she told Uefa. "A Champions League campaign never comes easy, from one game to another. We've also had doubts and fears at times, but the squad has remained strong, and we've kept focusing on work and humility and performed well together."The Midfield BattleThe midfield battle will be key, with the impact of Melchie Dumornay, who was the difference maker in their semi-final fightback against Arsenal, critical for Lyonnes and Barcelona unsure of the readiness of the three-time Ballon d'Or winner Aitana Bonmatí, who is "feeling better every day", according to Romeu, but has not played 90 minutes for the team since November and only played 18 minutes of the Copa de la Reina final.Contrasting StylesThe Champions League final will ultimately be a contest between two different ways of playing, Barcelona's slick tiki-taka football and the more aggressive way Lyonnes play. Both cannot dominate possession in this game, one will have to cede it and find a different way to win. That is what makes it an enthralling fixture.

Lead: A $700 Million Bet on the First Must‑Have AI Consumer Product Hark announced a $700 million Series A financing that pushes its post‑money valuation to $6 billion. The round, led by Parkway Venture Capital and populated by a roster of industry‑heavy investors, is earmarked for building a universal AI interface that could redefine how everyday users interact with digital services. Hark Secures Massive Funding to Build a Universal AI Interface The AI lab, founded in late 2025 by Brett Adcock—the entrepreneur behind Figure.AI and Archer—has kept details of its product under wraps. According to the announcement, Hark plans to release its first multimodal models this summer, which will power a personal AI platform capable of integrating with existing products and services. Subsequent hardware devices will be engineered specifically for these models. Lead investor: Parkway Venture Capital Participating investors: Align Ventures, AMD Ventures, ARK Invest, Brookfield, Greycroft, Intel Capital, Prime Movers Lab, Qualcomm Ventures, Salesforce Ventures, Tamarack Global Valuation and Investor Landscape Signal Massive Confidence The $700 million raise places Hark at a $6 billion valuation, a striking figure for a company that currently employs about 70 people and runs a data center equipped with Nvidia B200 GPUs. The investor mix—spanning venture capital, semiconductor giants, and corporate venture arms—underscores a broad belief that a dedicated AI interface, paired with custom hardware, could capture a sizable consumer market that current players have yet to dominate. Potential Shift in Consumer AI Assistants and Hardware Integration Industry observers note that while firms like Anthropic and OpenAI focus on coding tools and broader AI services, Hark’s singular emphasis on an “agentic” AI system and native hardware could create a new product category. Former Apple executive Abidur Chowdhury, now Hark’s director of design, highlighted the lack of consumer‑centric AI experiences that truly simplify daily life. If Hark succeeds, it may pressure incumbents to accelerate hardware‑first strategies and prioritize privacy‑preserving contextual awareness. What Hark’s Funding Could Mean for the Next Generation of AI Products With the fresh capital, Hark will invest heavily in talent acquisition for hardware engineering, product design, and AI research, as well as secure compute resources and component supply chains. The company’s roadmap suggests a rapid rollout: multimodal models this summer followed by dedicated AI devices later in the year. Should the demos that impressed investors translate into market‑ready products, Hark could set a benchmark for “universal” AI assistants, prompting a wave of competition focused on seamless integration rather than isolated functionalities.

During the Google I/O 2026 keynote, Google unveiled a new class of AI agents that stay active in the background, turning Search into a proactive information hub rather than a reactive answer engine. Continuous AI Agents Redefine How Search Works Unlike traditional search, which only responds when a user types a query, the new information agents can be created, customized, and managed by users to monitor any topic of interest around the clock. They synthesize data from multiple sources, explain relevance, compare viewpoints, and deliver actionable insights directly to the user. Use‑Case Spectrum Highlighted by Google Financial monitoring: Track specific stocks, earnings reports, and market trends with real‑time alerts. Travel planning: Follow flight price changes and receive notifications when fares drop. Sports & entertainment: Get live updates on favorite teams, events, or new movie releases. Local conditions: Monitor weather, traffic, housing or job market shifts in chosen areas. Subscription and Rollout Economics The agents will first be available this summer to Google AI Pro and Ultra subscribers in the United States, with broader market expansion planned later. While Google did not disclose specific pricing, the tiered rollout suggests a strategy to monetize premium, continuous‑assistant features and drive higher ARPU among power users. Strategic Impact on Search and the Wider AI Landscape By moving from single‑question answers to ongoing assistance, Google is positioning Search as a persistent personal knowledge manager, effectively superseding the legacy Google Alerts service. This shift could reshape user expectations, pressure competitors to offer similar background agents, and deepen Google’s data collection on user interests. Looking Ahead: Adoption, Competition, and Feature Evolution If adoption mirrors early interest in Gemini and other AI‑first products, the agents could become a core differentiator for Google’s ecosystem, especially as rivals like Microsoft and Anthropic explore comparable continuous‑assistant models. Future updates may integrate deeper Gmail, Calendar, and Docs functionality, turning the agents into true 24/7 personal assistants across Google’s suite.

The Evolution of Google's Gemini App At its annual Google I/O event, Google announced a series of updates to its Gemini app, aiming to transform it into an all-purpose AI hub. The updates include a 'Daily Brief' feature, a redesigned interface, access to a new AI video model called Gemini Omni, and a new personal AI agent called Gemini Spark. The Daily Brief Feature The Daily Brief feature is a personalized digest designed to be users' first stop each morning. It pulls together information from a user's inbox, calendar, and most important tasks, and then organizes them into a clear overview. The feature prioritizes tasks and suggests next steps, with the most important items shown first. Daily Brief is rolling out to Google AI subscribers in the United States. The Redesigned Interface Google has rebuilt the app from the ground up, introducing a new design language called 'Neural Expressive.' This brings fluid animations, vibrant colors, new typography, and haptic feedback. Gemini's responses are no longer presented as a wall of text; instead, key information appears in bold at the top, with additional text and possibly other elements such as images and timelines appearing as the user scrolls down. Gemini Spark and Gemini Omni Gemini Spark is a 24/7 personal AI agent that helps users navigate their digital life. It's a cloud-based agent that keeps working in the background even when the phone is locked. With Gemini Spark, users will be able to create their own custom workflows. Gemini Omni is a new AI video model that combines Gemini with Google's generative media models to create outputs grounded in knowledge. The Impact on the AI Market These updates signal Google's push to make its Gemini app more competitive with apps like ChatGPT and Claude. With over 900 million monthly users and availability in over 230 countries and in more than 70 languages, Google aims to maintain its existing customer base while attracting new users. The Future of AI-Powered Assistants The introduction of Gemini Spark and Gemini Omni underscores Google's broader push into multimodal content creation and AI-powered video tools. As the AI landscape continues to evolve, it will be interesting to see how these updates impact the market and Google's position within it.

At Google I/O on May 19, 2026, Google announced Universal Cart, an AI‑driven hub that lets users collect, track, and purchase products across the web from a single interface, alongside updates to its Agent Payments Protocol (AP2) and the Universal Commerce Protocol (UCP). Universal Cart: Centralizing the Multi‑Device Shopping Experience The new cart integrates with Search, the Gemini chat app, YouTube, and Gmail, allowing users to add items from any of these surfaces. Once added, Universal Cart automatically monitors price drops, shows price‑history insights, and sends back‑in‑stock alerts. AI layers help shoppers make smarter choices—for example, flagging incompatibilities when building a custom PC and suggesting alternatives. Rollout Timeline and Geographic Reach United States: Universal Cart available today via the Gemini app. Summer 2026: Full Gemini app integration. Later 2026: Expansion to YouTube and Gmail. 2026‑2027: UCP categories broaden to hotels and local food delivery. 2026‑2027: Geographic expansion to Canada, Australia, and subsequently the United Kingdom. Strategic Implications for E‑commerce and AI Assistants Universal Cart moves Google’s AI assistants from passive recommendation tools to active participants that can complete purchases autonomously. By linking discovery, consideration, and checkout under a single Google‑controlled layer, the company gains unprecedented visibility into consumer buying pathways, a development retailers and payment processors will monitor closely. Future Outlook: From Agent Payments to a Fully Autonomous Commerce Layer With AP2, users can set brand, product, and spending limits, allowing agents to execute transactions within those guardrails. As Google embeds AP2 across its product suite, we can expect a gradual shift toward fully autonomous shopping experiences, heightened regulatory scrutiny around consent and data security, and competitive pressure on other platform providers to launch similar agent‑payment frameworks.