In just 2 days, TechCrunch Sessions: AI takes over UC Berkeley’s Zellerbach Hall for a one-day summit built for the minds shaping AI. Expect hard questions, bold ideas, and real insight—designed to challenge your assumptions, sharpen your competitive edge, and maybe — just maybe — redefine the trajectory of your research, your product, or your company.Whether you’re an AI researcher, engineer, or founder, this summit offers insights into the forefront of AI development and its applications. Don’t miss the opportunity to engage with leaders shaping the future of artificial intelligence.Experience it all at a low rate while you still can: Save $300 on your ticket and get a second pass for 50% off. Prices jump when the event doors open. Register your tickets now.Voices shaping the future of AI — live on our main stage and in breakouts. Jared Kaplan, Co-founder and Chief Science Officer, Anthropic — On building responsibly with frontier models.Artemis Seaford, Head of AI Safety, ElevenLabs — On real-world safety protocols and ethical architecture.Jae Lee, CEO, Twelve Labs — Redefining what’s possible in multimodal AI.Sara Ittelson, Partner, Accel — Where investors see the next wave of AI opportunity.Logan Kilpatrick, Senior PM, Google DeepMind — On developer tooling and scaling responsibly.Ann Bordetsky, Partner, NEA — How operators-turned-investors think about the current AI boom.Oliver Cameron, CEO, Odyssey — Lessons from launching against incumbents in frontier tech.Iliana Quinonez, Director, Google Cloud — Infrastructure deep dives for AI startups.Ion Stoica, Co-founder, Databricks and Professor, UC Berkeley — On data infrastructure at massive scale.Kanu Gulati, Partner, Khosla Ventures — The tactical VC perspective on AI product-market fit.Astasia Myers, General Partner, Felicis — On founder storytelling and strategic capital

Ivan Zhang says AI firms have their work cut out winning back clients “burned” by failed pilots

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreWith demand for enterprise retrieval augmented generation (RAG) on the rise, the opportunity is ripe for model providers to offer their take on embedding models.French AI company Mistral threw its hat into the ring with Codestral Embed, its first embedding model, which it said outperforms existing embedding models on benchmarks like SWE-Bench.The model specializes in code and “performs especially well for retrieval use cases on real-world code data.” The model is available to developers for $0.15 per million tokens.The company said the Codestral Embed “significantly outperforms leading code embedders” like Voyage Code 3, Cohere Embed v4.0 and OpenAI’s embedding model, Text Embedding 3 Large.Super excited to announce @MistralAI Codestral Embed, our first embedding model specialized for code.It performs especially well for retrieval use cases on real-world code data. pic.twitter.com/ET321cRNli — Sophia Yang, Ph.D. (@sophiamyang) May 28, 2025Codestral Embed, part of Mistral’s Codestral family of coding models, can make embeddings that transform code and data into numerical representations for RAG.“Codestral Embed can output embeddings with different dimensions and precisions, and the figure below illustrates the trade-offs between retrieval quality and storage costs,” Mistral said in a blog post. “Codestral Embed with dimension 256 and int8 precision still performs better than any model from our competitors. The dimensions of our embeddings are ordered by relevance