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You have just 3 days left to save up to $190 on your pass toTechCrunch Founder Summit 2026before Early Bird rates end on June 26 at 11:59 p.m. PT. Founders don’t scale alone. The fastest-growing startups learn from peers facing similar challenges, gain insights from operators who have done it before, and build relationships with investors who can help fuel their next stage of growth. On November 4 in Boston, more than 1,000 founders and investors will come together for a full day of tactical learning, candid conversations, and meaningful networking designed to help startups grow faster. Whether you’re raising capital, scaling revenue, hiring key talent, or planning your next major milestone, Founder Summit connects you with the people and strategies that can help move your company forward.Register for your pass here before prices increase. AtTechCrunch Founder Summit, connect with: Previous sessions have explored topics such as: Previous speakers have included leaders from Tesla, Sapphire Ventures, Index Ventures, Sequoia Capital, Greylock, NFX, Wing Venture Capital, and more. Additional 2026 speakers will be announced on theevent pagesoon. Interested in leading the conversation?Submit a topicfor a breakout or roundtable session for a chance to be voted onto the agenda by the TechCrunch audience. Join 1,000+ founders and investors in Boston on November 4for a day of actionable insights, valuable connections, and conversations that can help shape your company’s future.Register by June 26 at 11:59 p.m. PTto save up to $190 on your pass. Groups of four or more can save up to 30%. Interested in exhibiting at TechCrunch Founder Summit 2026?Reserve your exhibit tableand connect directly with founders, investors, and startup decision-makers.
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The company has positioned itself as a provider of multi-modal AI solutions, plug-and-play products and custom services designed to make AI accessible, effective, and scalable for enterprises.
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Participants will work in teams to build production-ready AI solutions, focusing on practical implementation rather than theoretical models alone.
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In a global legal first, AI Law Firm Garfield AI secured a £7,000 court victory for a freelancer, pairing AI preparation with human courtroom advocacy.
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Developed by Baseten, the API serves Z.ai’s GLM-5.2 at over 280 tokens per second, targeting high-volume coding and agentic AI workloads.
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Z.ai’s latest open-source model, GLM 5.2, has gained attention for its performance in coding, reasoning, and agentic workflows.
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At the company’s 45th annual general meeting, Nilekani argued that closing the gap between AI’s promise and its enterprise reality is exactly the work his firm was built to do.
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Gautam Adani says infrastructure and intelligence will be the twin pillars of growth as the group expands its digital infrastructure footprint.
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Flipkart has built a centralised chaos engineering platform using LitmusChaos, a CNCF-hosted open-source project that deliberately injects controlled faults to identify system weaknesses.
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Tata AutoComp Systems is deploying AI across its 61 manufacturing plants to automate quality inspection, predict equipment failures, and retrain its workforce.
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Netflix recently began rolling out a new way for viewers to search for shows and movies on its platform. While we can search for content online via voice dictation, it merely presents results based on keywords. However, the new native AI-based voice search tool will provide contextual search results, taking the intent of the user's query into account. Currently available to a small set of users in beta, the content streaming company is asking users to test the new functionality and provide feedback on how it can be refined, while also pointing out the bugs and issues. The company has yet to announce when the stable version of the AI search tool will be rolled out to a wider global user base.
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The chip-making companies of the world are facing a strange conundrum currently. While they cannot ignore the financial incentive to provide their best memory components and processors to artificial intelligence (AI) companies, they also cannot overlook the consumer market, which has been their primary source of revenue for decades. There are challenges, but the AI era has also led to new opportunities for companies, provided they can build use-case-specific products and scale them effectively.
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