Meta inked deals with three nuclear companies to power its data centers with over 6 gigawatts of electricity. The agreements, announced today, include partnerships with SMR developers Oklo and TerraPower, alongside a capacity purchase from Vistra, a major nuclear operator. This move underscores the growing demand for reliable, 24/7 power to fuel AI development.
Oklo and TerraPower will each construct multiple small modular reactors for Meta. Vistra will supply power from its existing nuclear plants. Meta initiated the deals through a request for proposals, seeking stable energy sources.
The agreements signal a boost for both established nuclear operators and SMR startups. Existing reactors offer cost-effective baseload power, while SMR companies aim to lower costs through mass production. Meta's commitment provides SMR startups a crucial opportunity to validate their business model.
Tech companies increasingly favor nuclear energy to support their expanding AI infrastructure. SMR technology promises scalable and potentially cheaper nuclear power. The industry awaits the results of these partnerships.
AI-Assisted Journalism
This article was generated with AI assistance, synthesizing reporting from multiple credible news sources. Our editorial team reviews AI-generated content for accuracy.
Deep insights powered by AI
Continue exploring
Thousands protested in Minneapolis following a fatal ICE shooting and city-wide sweeps, highlighting growing fears within the community. Demonstrations, part of a nationwide movement, saw clashes between protestors and police, prompting calls for peace from city and state leaders amidst rising tensions over immigration enforcement.
Venezuela has released a small number of prisoners, 11, following a government pledge to free a significant number, while over 800 remain incarcerated. Among those still detained is the son-in-law of an opposition presidential candidate, raising concerns about political motivations behind the arrests and releases. Advocacy groups continue to monitor the situation, as families gather outside prisons awaiting news of their loved ones.
Aurora Therapeutics is a new CRISPR startup aiming to streamline gene-editing drug approvals by developing adaptable treatments that can be personalized without requiring extensive new trials, potentially revolutionizing the field. This approach, endorsed by the FDA, targets diseases like phenylketonuria (PKU) and could pave the way for broader applications of CRISPR technology by creating a new regulatory pathway for bespoke therapies.
This article explores the controversial rise of AI-generated content, or "AI slop," examining its potential to both degrade and enrich online culture through compelling and innovative creations. It also touches on the evolving landscape of gene-editing technology like CRISPR, highlighting a new startup's optimistic outlook on regulatory changes and its implications for the future of genetic engineering.
AI-driven runtime attacks are outpacing traditional security measures, forcing CISOs to adopt inference security platforms by 2026. With AI accelerating patch reverse engineering and enabling rapid lateral movement, enterprises must prioritize real-time protection to mitigate vulnerabilities exploited within increasingly narrow windows. This shift necessitates advanced security solutions capable of detecting and neutralizing sophisticated, malware-free attacks that bypass conventional endpoint defenses.
Venezuela has released a small number of prisoners, 11, following a government pledge to free a significant number; however, over 800 remain incarcerated, including individuals connected to the opposition. Families continue to gather outside prisons seeking information on potential releases, while advocacy groups monitor the situation. Diógenes Angulo, detained for posting a video of an opposition demonstration, was among those freed.
Synthesizing information from multiple sources, Orchestral AI is a new Python framework designed as a simpler, more reproducible alternative to complex LLM orchestration tools like LangChain, prioritizing synchronous execution and type safety. Developed by Alexander and Jacob Roman, Orchestral aims to provide a deterministic and cost-conscious solution, particularly beneficial for scientific research requiring reliable AI results.
Aurora Therapeutics is a new CRISPR startup aiming to streamline gene-editing drug approvals by developing adaptable treatments that can be personalized without requiring extensive new trials, potentially revitalizing the field. With backing from Menlo Ventures and guidance from CRISPR co-inventor Jennifer Doudna, Aurora is focusing on conditions like phenylketonuria (PKU) and aligning with the FDA's evolving regulatory pathways for personalized therapies. This approach could significantly broaden CRISPR's impact and accessibility.
Anthropic is implementing technical safeguards to prevent unauthorized access to its Claude AI models, specifically targeting third-party applications and rival AI labs. This action aims to protect its pricing and usage limits while also preventing competitors from leveraging Claude to train their own systems, impacting users of open-source coding agents and integrated developer environments. The move highlights the ongoing challenges of controlling access and preventing misuse in the rapidly evolving AI landscape.
This article explores the controversial rise of AI-generated content, or "AI slop," examining its potential to both degrade online spaces and foster unexpected creativity, while also highlighting a new CRISPR startup's optimistic bet on eased gene-editing regulations, a development with significant implications for medicine and society. The piece balances concerns about AI's impact with the potential for innovation in both AI-driven content creation and gene-editing technologies.
Semantic caching, which focuses on the meaning of queries rather than exact wording, can drastically reduce LLM API costs by up to 73% by identifying and reusing responses to semantically similar questions. Traditional exact-match caching fails to capture these redundancies, leading to unnecessary LLM calls and inflated bills, highlighting the need for more intelligent caching strategies in AI applications. This approach represents a significant advancement in optimizing LLM performance and cost-effectiveness.
AI-driven runtime attacks are outpacing traditional security measures, forcing CISOs to adopt inference security platforms by 2026. Attackers are leveraging AI to rapidly exploit vulnerabilities, with patch weaponization occurring within 72 hours, while traditional security struggles to detect malware-free, hands-on keyboard techniques. This shift necessitates real-time monitoring and protection of AI agents in production to mitigate risks.
Discussion
Join the conversation
Be the first to comment