Meta's Mark Zuckerberg and Oculus founder Palmer Luckey reunite to make VR headsets for the military
CNBC's Deirdre Bosa joins 'Money Movers' to discuss Meta's Mark Zuckerberg and Palmer Luckey's reconciliation and the military connection that drove the reconnection.
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Yahoo
43 minutes ago
- Yahoo
Meta's Llama AI Team Suffers Talent Exodus As Top Researchers Join $2B Mistral AI, Backed By Andreessen Horowitz And Salesforce
, a Paris-based startup founded by former Meta (NASDAQ:META) researchers Guillaume Lample and Timothée Lacroix, is rapidly emerging as a key player in the open-source AI space, and it's doing so with Meta's top talent. The tech giant is contending with a major loss of talent within its AI division as the architects behind its flagship Llama models exit the company. According to Business Insider, only three of the 14 researchers credited on the 2023 Llama paper remain employed at Meta. Five of the Llama paper's co-authors have joined Mistral in the past 18 months, intensifying scrutiny around Meta's ability to retain top-tier AI personnel, Business Insider reports. Don't Miss: 'Scrolling To UBI' — Deloitte's #1 fastest-growing software company allows users to earn money on their phones. Hasbro, MGM, and Skechers trust this AI marketing firm — Backed by $2 billion in funding, Mistral AI is rapidly gaining ground as one of the most aggressive challengers in the open-source AI space. As reported by TechCrunch, the company is supported by premier venture firms including Andreessen Horowitz, Lightspeed Venture Partners, and Salesforce (NYSE:CRM), all known for placing high-stakes bets on transformative technologies. Other notable backers include Bpifrance, Xavier Niel, Eric Schmidt, General Catalyst, and BNP Paribas, reflecting deep institutional and individual confidence in Mistral's long-term vision. Founded in 2023, Mistral is building advanced open-weight AI models that directly compete with Meta's Llama family. Its approach appeals to developers seeking transparency and customization in contrast to the closed nature of proprietary systems. With former Meta researchers such as Marie-Anne Lachaux, Thibaut Lavril, and Baptiste Rozière now working alongside Mistral's founders, the company may lead the next wave of open-source innovation, Business Insider reports. Trending: Meta's previous dominance in this space was largely defined by its decision to release Llama models with open access to their architecture and training data. According to Business Insider, that move helped validate open-weight large language models as viable alternatives to proprietary giants like OpenAI and Google. But with the original architects of Llama now working elsewhere, Meta's early lead is under pressure. Meta's internal AI leadership is undergoing a shift as well. In April, longtime executive Joelle Pineau stepped away from her role leading the Fundamental AI Research group after eight years. Taking over the position is Robert Fergus, a FAIR co-founder and former DeepMind scientist, marking a return to Meta following a five-year stint at Google's AI lab, Business Insider says. Separately, The Wall Street Journal reported that Meta's largest AI model to date, dubbed Behemoth, has been delayed due to internal concerns over performance and direction. Meanwhile, Business Insider notes that developers are increasingly turning to faster-evolving alternatives such as Qwen and DeepSeek following the Llama 4 investing billions into AI infrastructure, Meta still lacks a model explicitly focused on reasoning tasks, such as multi-step problem-solving or tool use. According to Business Insider, competitors like OpenAI and Anthropic are moving quickly to prioritize those capabilities, and without that strategic leap, Meta's influence over the open-source ecosystem may continue to decline. Of the 11 researchers who left Meta since the Llama paper's publication, most had been with the company for more than five years, according to LinkedIn profiles reviewed by Business Insider. Some departed as recently as February. Their exits mark a significant shift in Meta's AI capabilities and raise questions about the company's ability to maintain its leadership in the field. Read Next: Deloitte's fastest-growing software company partners with Amazon, Walmart & Target – Image: Shutterstock UNLOCKED: 5 NEW TRADES EVERY WEEK. Click now to get top trade ideas daily, plus unlimited access to cutting-edge tools and strategies to gain an edge in the markets. Get the latest stock analysis from Benzinga? SALESFORCE (CRM): Free Stock Analysis Report This article Meta's Llama AI Team Suffers Talent Exodus As Top Researchers Join $2B Mistral AI, Backed By Andreessen Horowitz And Salesforce originally appeared on © 2025 Benzinga does not provide investment advice. All rights reserved. Fehler beim Abrufen der Daten Melden Sie sich an, um Ihr Portfolio aufzurufen. Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten
Yahoo
an hour ago
- Yahoo
Meta's chief AI scientist says all countries should contribute data to a shared open-source AI model
Yann LeCun, Meta's chief AI scientist, has some ideas on open-source regulation. LeCun thinks open-source AI should be an international resource. Countries must ensure they are not "impeding open source platforms," he said. AI has surged to the top of the diplomatic agenda in the past couple of years. And one of the leading topics of discussion among researchers, tech executives, and policymakers is how open-source models — which are free for anyone to use and modify — should be governed. At the AI Action Summit in Paris earlier this year, Meta's chief AI scientist, Yann LeCun, said he'd like to see a world in which "we'll train our open-source platforms in a distributed fashion with data centers spread across the world." Each will have access to its own data sources, which they may keep confidential, but "they will contribute to a common model that will essentially constitute a repository of all human knowledge," he said. This repository will be larger than what any one entity, whether a country or company, can handle. India, for example, may not give away a body of knowledge comprising all the languages and dialects spoken there to a tech company. However, "they would be happy to contribute to training a big model, if they can, that is open source," he said. To achieve that vision, though, "countries have to be really careful with regulations and legislation." He said countries shouldn't impede open-source, but favor it. Even for closed-loop systems, OpenAI CEO Sam Altman has said international regulation is critical. "I think there will come a time in the not-so-distant future, like we're not talking decades and decades from now, where frontier AI systems are capable of causing significant global harm," Altman said on the All-In podcast last year. Altman believes those systems will have a "negative impact way beyond the realm of one country" and said he wanted to see them regulated by "an international agency looking at the most powerful systems and ensuring reasonable safety testing." Read the original article on Business Insider
Business Insider
2 hours ago
- Business Insider
Meta's chief AI scientist says all countries should contribute data to a shared open-source AI model
AI has surged to the top of the diplomatic agenda in the past couple of years. And one of the leading topics of discussion among researchers, tech executives, and policymakers is how open-source models — which are free for anyone to use and modify — should be governed. At the AI Action Summit in Paris earlier this year, Meta's chief AI scientist, Yann LeCun, said he'd like to see a world in which "we'll train our open-source platforms in a distributed fashion with data centers spread across the world." Each will have access to its own data sources, which they may keep confidential, but "they will contribute to a common model that will essentially constitute a repository of all human knowledge," he said. This repository will be larger than what any one entity, whether a country or company, can handle. India, for example, may not give away a body of knowledge comprising all the languages and dialects spoken there to a tech company. However, "they would be happy to contribute to training a big model, if they can, that is open source," he said. To achieve that vision, though, "countries have to be really careful with regulations and legislation." He said countries shouldn't impede open-source, but favor it. Even for closed-loop systems, OpenAI CEO Sam Altman has said international regulation is critical. "I think there will come a time in the not-so-distant future, like we're not talking decades and decades from now, where frontier AI systems are capable of causing significant global harm," Altman said on the All-In podcast last year. Altman believes those systems will have a "negative impact way beyond the realm of one country" and said he wanted to see them regulated by "an international agency looking at the most powerful systems and ensuring reasonable safety testing."
