Poolside, the San Francisco AI lab that has spent most of its three-year existence quietly selling coding models to governments and defense agencies, released its most capable model to date on Tuesday — and made an unusually aggressive bet that radical transparency, not raw scale, is how a smaller lab competes at the frontier. The…
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GPU memory is the most expensive resource in production AI, and it’s also the one running out fastest. Long context windows and multi-turn conversations force AI models to repeatedly recompute information they’ve already processed, consuming GPU memory and compute that could otherwise serve additional users or generate new responses. Instead of treating GPU memory as…
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Google DeepMind today released three new proprietary AI models it says are among its most token-efficient yet: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. The models aim to make AI agents faster, smarter, and cheaper at scale. Google is pricing Gemini 3.6 Flash at $1.50 per one million input tokens and…
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“The new PRD are the evals,” Xavi Amatriain, Expedia Group’s first chief AI and data officer, told the VB Transform 2026 audience last week in Menlo Park. “So basically, you encode what you want the product to do through your evals, which might include red teaming evals and all kinds of other things, which already…
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Tony Chopp, VP of Paid Media at Common Thread Collective, breaks down CTC’s Google Ads Canon, the complete framework we use to turn Google into a true demand-harvesting machine for 7-9 figure ecommerce brands. Learn how to expand your search frontier beyond product queries, set incrementality-adjusted ROAS targets, and structure campaigns for maximum profitable growth….
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In this episode of BRAVE COMMERCE, Rachel Tipograph and Sarah Hofstetter speak with Mindy Shaltry, VP of Omnichannel Marketing & Activation, Mondelēz U.S., and Wes Saraceni, VP of Consumer Experience U.S. at Mondelēz International, about why today’s shopper journey demands closer alignment between marketing and sales. Mindy and Wes share how their partnership is helping…
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Presented by Atlassian Most companies are approaching AI adoption backwards by optimizing how individuals use AI instead of how teams work together, said Dr. Molly Sands, head of the Teamwork Lab at Atlassian, during a fireside chat with VentureBeat senior technology contributor Sam Witteveen at VB Transform 2026. Sands leads a team of behavioral scientists…
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AI assistants don’t care what page you rank on. They care whether your Shopify product data is structured to be found. In this episode, Morten Poulsen, founder and CEO of Plytix, breaks down: Why content led growth expands on SEO instead of replacing it, and what actually changes How FAQs, use cases, and structured attributes…
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Enterprise AI is facing an ROI paradox. While throwing more compute at the strongest foundation model works well in product experiments, the costs become unbearable when the product is deployed in production. A new paper from researchers at Writer provides a solution that is accessible to engineering teams. The study takes a systematic look at…
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A single AI agent conversation can look flawless scored on its own and still point to a broken product. That gap is driving a shift in how enterprises evaluate agents, away from scoring individual traces and toward comparing cohorts of users against a baseline. At VB Transform 2026, Harrison Chase, CEO of LangChain; Hui Zhang,…
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