Thinking Machines in talks for $1B round at $40B valuation
Mira Murati's AI lab is seeking a $1 billion raise led by Accel, valuing the company at $40 billion despite a reported $100 million annual revenue run rate.
[archive]
445 stories · newest first · page 4
Mira Murati's AI lab is seeking a $1 billion raise led by Accel, valuing the company at $40 billion despite a reported $100 million annual revenue run rate.
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.
Optima allows developers to build custom benchmarks using their own tasks and data to compare AI models on performance, cost, and time efficiency.
The new platform offers Firecracker-based sandboxes that pause indefinitely, resume instantly, and enforce strict security boundaries for long-running agent workflows.
The Austin-based startup is expanding its runtime protection and supply chain security tools to address prompt injection and agent manipulation as enterprise AI spending accelerates.
The new reasoning technique allows models to process queries in loops rather than linear sequences, raising concerns among experts about the monitorability of chain-of-thought logs.
The cybersecurity giant is integrating Console's agentic automation into its Cortex platform to handle routine IT support tasks autonomously.
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 Trump administration filed a statement of interest arguing that restricting LLM training on copyrighted text would hinder scientific progress and American economic prosperity.
The Apache-2.0 licensed tool connects AI agents to observability stacks like Prometheus and Kubernetes to automate root cause analysis and rollback recommendations.
Reports that OpenAI's upcoming Astra model uses looped transformers to boost performance have triggered warnings from safety researchers about a potential 'race to the bottom' in AI monitorability.
A new open-source project patches the legacy QtScript engine to run on modern Qt 6 environments, preserving compatibility for developers relying on the embedded JavaScript runtime.
A new open-source plugin pushes local AI coding tool rate limits and cost estimates to a TRMNL device every 10 minutes without requiring a central server.
The AI training-data startup has become Y Combinator's fastest-ever unicorn, jumping from a $300M valuation to $3.2B in just five months.
OpenAI has paused development on its upcoming Astra model suite to address safety concerns following a recent security breach, citing the model's advanced ability to exploit vulnerabilities.
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 recent arXiv paper outlines a structured approach to managing security and coordination challenges in environments where multiple large language model agents operate concurrently.
The new infrastructure layer provides dedicated micro-VMs for each AI agent, enabling developers to deploy thousands of isolated, customer-specific instances with managed scaling and no shared runtime overhead.
A new arXiv paper introduces a standardized framework for assessing the predictive capabilities of world models in autonomous driving scenarios.
Two recent preprints on arXiv investigate the limits and mechanisms of large language model reasoning, adding to the ongoing discourse on AI cognitive performance.
Apple's new chief executive takes the helm during a period of AI-driven hardware challenges and significant executive turnover.
At Ai4, three leading AI researchers defended open AI against a backdrop of safety concerns, but their visions for openness diverged on key details.
Situational Awareness pours another $400M into Source Foundry, a Stanford spinout aiming to slash chip manufacturing costs.
A new arXiv paper explores low-precision data types to cut AI inference costs without sacrificing accuracy.
Woxi brings the Wolfram Language into Jupyter as a first-class kernel, enabling AI-assisted notebook workflows with symbolic computation built in.
A new framework applies Rasch measurement theory to benchmark large language models, offering a more rigorous way to compare model proficiency and item difficulty.
Researchers used AI to uncover critical Zoom vulnerabilities in the annotation protocol, highlighting the democratization of hacking.
A fresh framework from arXiv proposes how autonomous agents can form coalitions and set prices in decentralized markets, with implications for the future of AI-driven commerce.