Meta launches Muse Spark Open 816B model for Macs
The 816-billion-parameter open-weight model targets local inference on Apple Silicon, requiring 1TB of RAM to handle complex coding and agentic workflows.
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The 816-billion-parameter open-weight model targets local inference on Apple Silicon, requiring 1TB of RAM to handle complex coding and agentic workflows.
Google claims its new model outperforms GPT-6 Astra and Claude Fable 5.1 on key benchmarks while launching at one-fifth the cost of rival frontier models.
Meta's new AI models target top-tier competitors like GPT-6 and Claude, aiming to power its upcoming Muse agent for subscribers.
The 501-billion-parameter mixture-of-experts model claims to match Chinese rivals on reasoning benchmarks while using 3-4x less inference compute.
Amazon's new lightweight decision model offers a high-speed, low-cost alternative to frontier LLMs for structured agentic workflow steps.
The new frontier model is restricted to trusted partners and government pre-release access, prioritizing security safeguards over broad public availability.
The new flagship model matches top-tier performance on complex coding tasks while cutting inference costs and speeding up output generation for developers.
The new model cuts costs by 40 percent while reducing sandbox escape attempts by 85 percent, marking the first launch since CEO Dario Amodei pledged to pace frontier development.
Former OpenAI researcher Diogo Almeida's new startup launches a non-LLM transformer that outputs probabilities instead of text, targeting cheap, hallucination-free automation for developers.
Entelligence data shows the cheaper model catches 75% of bugs at 3.6% of the cost, but fails on critical security logic.
TypeSafe AI's new System One model claims frontier-level intelligence for structured tasks while running 40x to 200x faster than existing LLMs by abandoning autoregressive text generation.
OpenAI has released its next-generation model, GPT-6 Astra, while simultaneously asserting that the industry has officially entered the era of Artificial General Intelligence.
CEO Sam Altman acknowledges frustration among paid users after the new frontier model's staggered release prioritized enterprise clients, leaving Pro and Plus subscribers without a clear timeline for access.
OpenAI has released GPT-6 Astra, a model it claims marks the beginning of the AGI era, featuring unprecedented agentic capabilities and a controversial cybersecurity designation that follows recent security incidents.
In a bid to comply with the EU AI Act, Anthropic is applying invisible watermarks to any text touched by its models, including simple edits, creating a potential provenance paradox for developers and users.
Google's latest lightweight model claims top-tier coding performance at introductory pricing, while a new cybersecurity variant launches under a government-focused program.
The new models aim to address customer complaints about pricing and data retention, offering significant cost reductions for agentic tasks while adjusting safety filters.
OpenAI has confirmed its upcoming Astra model meets a new 'critical cybersecurity threshold,' demonstrating the ability to find and exploit unknown security flaws without human guidance.
A federal court finds the Trump administration's 'supply chain risk' designation of Anthropic was illegal First Amendment retaliation.
New open-weight models in 3B, 8B, and 30B sizes bring chain-of-thought reasoning and agentic capabilities to self-hosted deployments.
An anonymous coding-focused reasoning model called Ox Alpha appeared on OpenRouter, and the internet is racing to guess its creator.
The London lab's Faraday agent, built on a 27-billion-parameter model, beat Anthropic and OpenAI systems at reproducing scientific results — and its founders say how it got there matters more.
As lawsuits pile up over ChatGPT's role in tragic outcomes, experts call for more transparency, less anthropomorphism, and real guardrails.
US AI labs cut mid-tier model prices by up to 80% as cost-conscious enterprises defect to cheaper Chinese alternatives, signaling a strategic shift from performance to price competition.
Meta's open-weight Glimmer model arrives with a Zuckerberg manifesto promising AI for everyone, but the fine print reveals limits.
The new flagship model, based on Z.ai's open-source GLM-5.2, pairs with an upgraded harness to cut deployment costs by up to 50% for enterprise customers.
Meta releases a 30B-parameter open model for local use, promises Spark 1.2 weights, and makes a philosophical case for decentralized AI.
With the open-weight Muse Glimmer, Meta offers a local, privacy-conscious AI agent for consumer hardware—and a glimpse of where it draws the line between open and closed AI.
A 12.3GB MoE quant packs a 35B model onto consumer cards, with quality within noise of FP8 on most benchmarks.
The TikTok parent is reportedly pre-training a massive model that could rival Anthropic's Mythos 5, signaling a new phase in the global AI race.