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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 AI Psychosis in Corporate Decision MakingBox founder Aaron Levie has identified a troubling trend in corporate America: what he calls "AI psychosis," where executives and decision-makers become so enamored with artificial intelligence that they believe it can replace human jobs without understanding what those roles truly entail. This overenthusiasm for AI is leading to significant workforce reductions and a growing backlash from both employees and users.Workforce Reductions Fueled by AI AmbitionThe consequences of this AI psychosis are already becoming apparent in the tech industry. Productivity software company ClickUp recently cut 22% of its workforce, citing a shift toward AI agents. This move is part of a larger trend where tech layoffs in 2026 are already nearly matching the total number of layoffs seen throughout all of 2025. These cuts suggest that companies are prioritizing AI implementation over human talent, often without fully understanding the implications.User Backlash Against Forced AI IntegrationWhile companies push AI solutions, users are increasingly resisting. DuckDuckGo has seen a surge in installations from users who want Google to stop forcing AI into search results and simply provide traditional links. This user backlash highlights a disconnect between corporate AI strategies and actual consumer preferences, suggesting that not all AI implementations are welcome or beneficial.The Duality of AI AdoptionAs TechCrunch's Equity podcast hosts discuss, both the AI-pilled (those enthusiastically embracing AI) and the AI-skeptical (those questioning its implementation) may have valid points. The challenge lies in finding a balance where AI augments human capabilities rather than replacing them entirely, and where technology serves actual needs rather than being implemented for its own sake.Future of Work in an AI-Driven EconomyAs AI continues to evolve, companies must develop more nuanced approaches to workforce planning and technology implementation. The current trend of replacing human workers with AI agents may prove shortsighted if it leads to decreased product quality, poor user experience, and loss of institutional knowledge. The future likely lies in hybrid models where AI and humans collaborate, each bringing their unique strengths to the workplace.

Groq's New Funding Round Groq is looking to raise $650 million in new funding from existing investors, sources tell Axios, as it leans into its inference neocloud business that relies on its homegrown AI chip and systems. The Nvidia Deal and Its Impact In December, Groq struck one of those not-an-acquisition agreements with Nvidia for a reported $20 billion, which involved the departure of some top-level senior Groq employees to the chip giant and the licensing of Groq’s hardware technology to Nvidia. The Focus on Inference Cloud Business The new direction is led right now by Groq’s interim CEO and CFO, Adam Winter and Matt Eng, respectively. The company's inference cloud business lets developers and enterprises host their inference-hungry apps. Inference is the processing that happens after an AI prompt and is currently a much bigger need in the AI world than model training. The Funding Commitment Groq's backers Disruptive and Infinitium have agreed to fill the round should other existing investors not want their pro-rata shares. The $650 million in funding is essentially guaranteed.

Groq's Ambitious Funding Round Groq, an AI chip startup, is looking to raise $650 million in new funding from existing investors, sources tell Axios, as it leans into its inference neocloud business that relies on its homegrown AI chip and systems. The Nvidia Deal and Its Implications In December, Groq struck a not-an-acquisition agreement with Nvidia for a reported $20 billion, which involved the departure of some top-level senior Groq employees to the chip giant and the licensing of Groq's hardware technology to Nvidia. The Focus on Inference Cloud Business The new direction is led by Groq's interim CEO and CFO, Adam Winter and Matt Eng, respectively. The company's inference cloud business lets developers and enterprises host their inference-hungry apps. Inference is the processing that happens after an AI prompt and is currently a much bigger need in the AI world than model training. The Funding Dynamics Groq's backers Disruptive and Infinitium have agreed to fill the round should other existing investors not want their pro-rata shares. The $650 million in funding is essentially guaranteed. The funding round highlights the ongoing investments in AI chip startups and the growing demand for inference capabilities in the AI ecosystem.

The Vision for AI Coding Agents Cognition CEO Scott Wu made headlines again this week when his two-year-old AI coding agent startup raised $1 billion at a $26 billion valuation. Cognition is the maker of Devin, one of the first and, arguably, most successful AI coding agents. Devin, the CEO says, “naturally owns tasks end to end.” The Future of Software Development In fact, in the blog post announcing that raise, Cognition laid out a vision where “we are shifting to a world of self-driving software development.” So, could Devin replace, say, a mid-level L4 programmer? Yes, and no, Wu told TechCrunch. “We’ve never thought about it as replacing humans. I know it’s like a scenario, folks have said these things. It has never been our view.” Preserving the Joy of Programming Wu emphasizes that the goal is not to make human programmers obsolete. “We are all programmers ourselves,” he explained. “I started coding when I was nine.” He views agents as another layer of abstraction between envisioning a software product and producing it, similar to how visual development environments abstracted software creation away from machine instructions. The Role of Devin in Cognition Cognition says that Devin’s role in its own company is to ship nearly all the software. The company says that 89% of code committed by its engineers was committed by Devin, and the rest by local agents. Wu explains that his agent’s role is largely to do the kinds of long-tail maintenance tasks that many programmers don’t like to do anyway: bringing old software up to date; moving applications off one platform and onto another. The Future of AI Agents Wu predicts that agents will enter other fields where they will learn tasks, from customer service to medicine, but hopes the goal will be to augment human workers in those areas, too. “Code and software has been the first to move, but we’ll see this happen in all these other industries,” he predicts. “One thing that’s been clear to us since the beginning is, it should always be up to the human what to do … you really see this in software engineering, but I think it’s true in all these other professions too.”

John Lewis Launches High‑Summer Fish‑Print CollectionThree years after proclaiming the "death of florals," John Lewis has introduced a new print that is making a splash among shoppers. The retailer’s high‑summer line features everything from sardine‑covered dresses to fish‑shaped homeware, positioning fish as the season’s "catch of the day."Sales Surge: Starfish Earrings +300%, Fish‑Shaped Tumblers +400%Starfish‑shaped earrings up 300% month‑on‑month.Silky blue fish‑print skirt on a waiting list due to high demand.Glass tumblers that stack into a fish shape up 400% month‑on‑month.Wade Pottery fish earthenware jug sales up 129% month‑on‑month.Why Fish Motifs Are Resonating with UK ShoppersThe surge aligns with a growing UK obsession with tinned fish, which has shifted from a cheap pantry staple to a "bougie" ingredient featured in premium packaging. Influencers on TikTok have helped drive an 18% rise in tinned tuna sales at Tesco, while designers use fish imagery to signal social and political identity, according to senior reporter Bettina Makalintal of Eater.Retailers such as Asos, Anthropologie and Accessorize have rolled out fish‑themed apparel and accessories, from oversized sardine tees to raffia fish‑shaped bags, echoing a broader cultural narrative that blends food, fashion and lifestyle aspirations.What the Wave Means for Summer 2026 FashionExperts predict the fish motif will extend beyond summer, influencing autumn collections and inspiring new sustainable material experiments that mimic marine textures. As consumers continue to seek "Euro‑summer" simplicity over overt luxury, the fish trend may become a staple reference point for designers aiming to capture a relaxed, coastal aesthetic.

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On May 29, 2026, a Harvard Medical School graduate delivered a speech that was explicitly dedicated to the peoples of Lebanon and Palestine, drawing attention to the ongoing challenges in the region.Harvard Graduate Highlights Lebanon and Palestine in Public AddressThe speaker, a recent graduate of Harvard Medical School, used the platform to acknowledge the complex social, economic, and humanitarian issues confronting both Lebanon and Palestine. By dedicating the speech to these nations, the graduate signaled a personal commitment to raising awareness beyond the medical field.Regional Context: Ongoing Crises in Lebanon and PalestineLebanon continues to grapple with economic instability, infrastructure decay, and political fragmentation.Palestine faces persistent humanitarian concerns, restricted movement, and diplomatic stalemate.Both regions experience heightened international attention and advocacy efforts.These realities form the backdrop against which the graduate framed the dedication, emphasizing the interconnectedness of health, stability, and human rights.Implications for Academic and Humanitarian AdvocacyThe speech illustrates a broader trend of scholars and professionals leveraging their platforms to influence public opinion on geopolitical matters. By linking medical expertise with regional advocacy, the graduate may inspire peers to engage more actively in policy dialogues and humanitarian initiatives.Future Outlook: Academic Voices Shaping Global NarrativesAs universities and research institutions increasingly encourage civic engagement, speeches like this could become more common. The expectation is that such interventions will amplify calls for international support, potentially affecting aid allocations and diplomatic conversations concerning Lebanon and Palestine.

Record‑Breaking Temperatures Sweep EuropeA high‑pressure “heat dome” has locked over Europe this week, pushing daily maximums far beyond historical norms and sparking the continent’s hottest May on record.Heat Dome Drives Unprecedented May Highs Across the UK and IrelandThe United Kingdom set a new May maximum of 35.1 °C at Kew Gardens on Tuesday, eclipsing the 34.8 °C recorded just a day earlier. The previous record of 32.8 °C (first set in 1922 and matched in 1944) was therefore shattered twice in 48 hours. In Ireland, two stations logged 28.8 °C in Killarney and Clonmel, also breaking national May highs. Night‑time lows were equally extreme, with Camborne, England, falling only to 21.4 °C—a “tropical night” by definition.Temperature Extremes and Fatalities: The Numbers Behind the CrisisFrance recorded 36 °C on Monday and Tuesday, the hottest May days ever recorded there.A French government spokesperson linked seven deaths to the heat, either directly or indirectly.Across Europe, temperatures are running 10‑15 °C above the seasonal average.Projections indicate the continent will stay 5‑10 °C above average for the remainder of the week.In southeastern Australia, the Bureau of Meteorology warned of 40‑70 mm of rain in six‑hour periods, with isolated totals approaching 100 mm. Wind gusts of 65 mph (104 kph) were recorded in Narrabi, NSW.Implications for Public Health and Climate Resilience in EuropeThe combination of record heat and nighttime warmth raises the risk of heat‑related illnesses, especially among vulnerable populations. The French fatalities underscore how even short‑duration spikes can strain health systems. Moreover, the event highlights the growing frequency of extreme weather under climate change, prompting calls for stronger heat‑action plans, urban cooling strategies, and public awareness campaigns.Outlook: Cooling Trends and Ongoing Weather RisksModels suggest that the heat dome will gradually weaken, allowing the UK to see modest cooling early next week. However, the lingering warmth will keep temperatures above seasonal norms for several more days. Meanwhile, Australia remains on high alert for severe thunderstorms, with flash‑flood and hail threats persisting through Friday.