Latest news with #IonStoica
TechCrunch
23-06-2025
- Business
- TechCrunch
Databricks, Perplexity co-founder pledges $100M on new fund for AI researchers
Andy Konwinski, computer scientist and co-founder of Databricks and Perpelexity, announced on Monday that his personal company, Laude, is forming a new AI research institute backed with a $100 million pledge of his own money. Laude Institute is less an AI research lab and more like a fund looking to make investments structured similar to grants. In addition to Konwinski, the institute's board includes UC Berkeley professor Dave Patterson (known for a string of award-winning research), Jeff Dean (known as Google's chief scientist), and Joelle Pineau (Meta's vice president of AI Research). Konwinski announced the institute's first and 'flagship' grant of $3 million a year for five years, and it will anchor the new AI Systems Lab at UC Berkeley. This is a new lab led by one of Berkeley's famed, Ion Stoica, current director of the Sky Computing Lab. Stoica is also a co-founder of startup Anyscale (an AI and python platform) and AI big data company Databricks, both from tech developed in Berkeley's lab system. The new AI Systems Lab is set to open in 2027 and, in addition to Stoica, will include a number of other well-known researchers. In his blog post announcing the institute, Konwinski described its mission as 'built by and for computer science researchers … We exist to catalyze work that doesn't just push the field forward but guides it towards more beneficial outcomes.' That's not necessarily a direct dig at OpenAI, which started out as an AI research facility and is now, arguably, consumed by its enormous commercial side. But other researchers have fallen prey to the lure of money as well. For instance, popular AI researcher Epoch faced controversy when it revealed that OpenAI supported the creation of one of its AI benchmarks that was then used to unveil its new o3 model. Epoch's founder also launched a startup with a controversial mission to replace all human workers everywhere with AI agents. Techcrunch event Save $200+ on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Save $200+ on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Boston, MA | REGISTER NOW Like other AI research organizations with commercial ambitions, Konwinski has structured his institute across boundaries: as a nonprofit with a public benefit corporation operating arm. He's dividing his research investments into two buckets that he calls 'Slingshots and Moonshots.' Slingshots are for early-stage research that can benefit from grants and hands-on help. Moonshots are, as the name implies, for 'long-horizon labs tackling species-level challenges like AI for scientific discovery, civic discourse, healthcare, and workforce reskilling.' His lab has, for instance, collaborated with 'terminal-bench,' a Stanford-led benchmark for how well AI agents handle tasks, used by Anthropic. One thing to note, Konwinski's company Laude isn't solely a grant-writing research institute. He also co-founded a for-profit venture fund launched in 2024. The fund's co-founder is former NEA VC Pete Sonsini. As TechCrunch previously reported, Laude led a $12 million investment in AI agent infrastructure startup Arcade. It has quietly backed other startups, too. A Laude spokesperson tells us that while Konwinski has pledged $100 million, he's also looking for, and open to, investment from other successful technologists. As to how Konwinski amassed a fortune enough to guarantee $100 million for this new endeavor: Databricks closed a $15.3 billion funding round in January that valued the company at $62 billion. Perplexity last month secured a $14 billion valuation, too. Does the world really need yet another AI 'good for humanity' research or with a murky nonprofit/commercial structure? No, and yes. AI research has become increasingly muddled. For instance, AI benchmarks designed to prove that a particular vendor's model works best have become plentiful these days. (Even Salesforce has its own LLM benchmark for CRMs.) An alliance that includes the likes of Konwinski, Dean, and Stoica supporting truly independent research that could one day turn into independent and human-helpful commerce could be an attractive alternative.
TechCrunch
06-06-2025
- TechCrunch
A deep dive on AI safety and ethics with Databricks and ElevenLabs
As AI tools become cheaper and more accessible, the stakes for safety and ethics have never been higher. ElevenLabs' Head of AI Safety Artemis Seaford and Databricks co-founder Ion Stoica joined TechCrunch AI editor Kyle Wiggers for a critical discussion on the multitude of ethical challenges facing AI today. From deepfakes to responsible deployment, they explored practical steps that can be taken to keep bad actors at bay, and tackled some of the more nuanced debates within how to even define where ethical lines are drawn with AI.
TechCrunch
23-05-2025
- Business
- TechCrunch
Artemis Seaford and Ion Stoica cover the ethical crisis at Sessions: AI
As generative AI becomes faster, cheaper, and more convincing, the ethical stakes are no longer theoretical. What happens when the tools to deceive become widely accessible? And how do we build systems that are powerful — but safe enough to trust? At TechCrunch Sessions: AI, taking place June 5 at UC Berkeley's Zellerbach Hall, Artemis Seaford, Head of AI Safety at ElevenLabs, and Ion Stoica, co-founder of Databricks and professor at UC Berkeley, will take the main stage to unpack the ethical challenges of today's AI. Their conversation will cut to the heart of one of the most urgent questions in tech: What are we unleashing — and can we still steer it? How Seaford and Stoica are tackling AI's toughest ethical questions Artemis brings a rare blend of academic depth and frontline experience. At ElevenLabs, she leads AI safety efforts focused on media authenticity and abuse prevention. Her background spans OpenAI, Meta, and global risk management at the intersection of law, policy, and geopolitics. Expect a grounded, clear-eyed take on how deepfakes are evolving, what new risks are emerging, and which interventions are actually working. Ion, meanwhile, brings a systems-level view. He's not just a leader in AI research—he's helped build the infrastructure behind it. From Spark to Ray to ChatBot Arena, his open source projects power many of today's most advanced AI deployments. As executive chairman of Databricks and a founder of several AI-driven companies, Ion knows what it takes to scale responsibly — and where today's tools still fall short. Together, they'll unpack the ethical blind spots in today's development cycles, explore how safety can be embedded into core architectures, and examine the roles that industry, academia, and regulation must play in the years ahead. Join the front lines of AI — insight, access, and $600+ in ticket savings This session is part of a day-long exploration at the front lines of artificial intelligence, featuring speakers from OpenAI, Google Cloud, Anthropic, Cohere, and more. Expect tactical insight, candid dialogue, and a rare cross-section of technologists, researchers, and founders — all in one room. Plus, you'll have the chance to engage with these top minds through breakouts and top-tier networking. Grab your ticket now and save big — over $300 off, plus 50% off a second ticket. Whether you're building the future or just trying to keep up with it, you and your plus-one should be in the room for this. Techcrunch event Join us at TechCrunch Sessions: AI Secure your spot for our leading AI industry event with speakers from OpenAI, Anthropic, and Cohere. For a limited time, tickets are just $292 for an entire day of expert talks, workshops, and potent networking. Exhibit at TechCrunch Sessions: AI Secure your spot at TC Sessions: AI and show 1,200+ decision-makers what you've built — without the big spend. Available through May 9 or while tables last. Berkeley, CA | REGISTER NOW The tools are moving fast. The ethics need to catch up. Don't get left behind — learn how to stay compliant.
Yahoo
22-05-2025
- Business
- Yahoo
Chatbot Arena secures $100m to enhance AI platform
Chatbot Arena, a platform designed to compare the performance of various AI models, has raised $100m in seed funding. The round was led by Andreessen Horowitz (a16z) and UC Investments (University of California), with participation from Lightspeed, Laude Ventures, Felicis, Kleiner Perkins, and The House Fund. The round values the company at $600m, according to a Bloomberg report. The funding coincides with the upcoming relaunch of LMArena, featuring a fully rebuilt platform designed to enhance AI evaluation with greater rigor, transparency, and user focus. The platform, which originated as an academic project at UC Berkeley, enables researchers, developers, and users to assess how AI models perform in real-world scenarios. More than 400 model evaluations have been conducted on LMArena, with more than three million votes cast, influencing both proprietary and open-source models from companies such as Google, OpenAI, Meta, and xAI, the company said. LMArena co-founder and CEO Anastasios Angelopoulos said: "In a world racing to build ever-bigger models, the hard question is no longer what can AI do. Rather, it's how well can it do it for specific use cases, and for whom. We're building the infrastructure to answer these critical questions." The relaunched LMArena, set to debut in late May 2025, incorporates community feedback and introduces a rebuilt user interface, mobile-first design, lower latency, and new features like saved chat history and endless chat. Ion Stoica, co-founder and UC Berkeley professor, said: 'AI evaluation has often lagged behind model development. LMArena closes that gap by putting rigorous, community-driven science at the centre. It's refreshing to be part of a team that leads with long-term integrity in a space moving this fast.' The company collaborates with model providers to identify performance trends, gather human preference data, and test updates in real-world conditions, aiming to develop advanced analytics and enterprise services while keeping core participation free. 'We invested in LMArena because the future of AI depends on reliability,' said Anjney Midha, general partner at a16z. 'And reliability requires transparent, scientific, community-led evaluation. LMArena is building that backbone.' Jagdeep Singh Bachher, chief investment officer at UC Investments, said: 'We're excited to see open AI research translated into real-world impact through platforms like LMArena. Supporting innovation from university labs such as those at UC Berkeley is essential for building technologies that responsibly serve the public and advance the field.' "Chatbot Arena secures $100m to enhance AI platform" was originally created and published by Verdict, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.
Yahoo
21-05-2025
- Business
- Yahoo
LMArena Secures $100M in Seed Funding to Bring Scientific Rigor to AI Reliability
SAN FRANCISCO, May 21, 2025 /PRNewswire/ -- LMArena, the open community platform for evaluating the best AI models, has secured $100 million in seed funding led by a16z and UC Investments (University of California) with participation from Lightspeed, Laude Ventures, Felicis, Kleiner Perkins and The House Fund. The funding coincides with the relaunch of LMArena happening next week—a faster, sharper, fully rebuilt platform designed to make AI evaluation more rigorous, transparent, and human-centered. In a space moving at breakneck speed, LMArena is building something foundational: a neutral, reproducible, community-driven layer of infrastructure that allows researchers, developers, and users to understand how models actually perform in the real world. Over four hundred model evaluations have already been made on the platform, with over 3 millions votes cast, helping shape both proprietary and open-source models across the industry, including those from Google, OpenAI, Meta, and xAI. "In a world racing to build ever-bigger models, the hard question is no longer what can AI do. Rather, it's how well can it do it for specific use cases, and for whom," said Anastasios N. Angelopoulos, co-founder and CEO at LMArena. "We're building the infrastructure to answer these critical questions." The new LMArena next week reflects months of feedback from the community and includes: a rebuilt UI, mobile-first design, lower latency, and new features like saved chat history and endless chat. The legacy site will remain live for a while, but all future innovation is happening on "AI evaluation has often lagged behind model development," said Ion Stoica, co-founder at LMArena and UC Berkeley professor. "LMArena closes that gap by putting rigorous, community-driven science at the center. It's refreshing to be part of a team that leads with long-term integrity in a space moving this fast." Backers say what makes LMArena different is not just the product, but the principles behind it. Evaluation is open, the leaderboard mechanics are published, and all models are tested with diverse, real-world prompts. This approach makes it possible to explore in-depth how AI performs across a range of use cases. "Our mission has always been to make AI evaluation open, scientific, and grounded in how people actually use these models. As we expand into new modalities and deepen our evaluation tools, we're building infrastructure that doesn't just evaluate AI, it helps shape it" said Wei-Lin Chiang, co-founder and CTO of LMArena. "We're here to ensure AI is reliably measured through real-world use." LMArena is already working with model providers to help them uncover performance trends, gather human preference data, and test updates in real-world conditions. The company's long-term business model centers on trust: as they look to develop advanced analytics and enterprise services while keeping core participation free and open to all. "We invested in LMArena because the future of AI depends on reliability," said Anjney Midha, General Partner at a16z. "And reliability requires transparent, scientific, community-led evaluation. LMArena is building that backbone." Jagdeep Singh Bachher, chief investment officer at UC Investments, added, "We're excited to see open AI research translated into real-world impact through platforms like LMArena. Supporting innovation from university labs such as those at UC Berkeley is essential for building technologies that responsibly serve the public and advance the field." The relaunch of LMArena next week is a significant step forward, but it's far from the finish line. The team is actively shipping new features, refining the platform, and working closely with the community to shape what comes next. About LMArena: LMArena is an open platform where everyone has access to leading AI models and can contribute to their progress through real-world voting and feedback. Built with scientific rigor and transparency at its core, LMArena enables developers, researchers, and users to compare model outputs, uncover performance differences, and advance the reliability of AI systems. With a commitment to open access, reproducible methods, and diverse human judgment, LMArena is shaping the infrastructure layer AI needs to earn long-term trust. Learn more at Press Contact:Cherry Parkcherry@ View original content: SOURCE LMArena
