The open-weight multimodal model features a 1M-token context window and improved performance in coding and agentic tasks.
Tested on Gemini 3.5 Flash and GLM-5, the system improves performance on legal and office benchmarks without changing model weights.
The entire editor, including timeline and effects, is built from extensions that the agent can modify in real time.
The system uses a compiler to resolve code structure, freeing AI cognition for higher-level decisions at a cost of $12.96.
The new HybridAgents framework dynamically switches between latent and text reasoning, improving performance by 10.4% across 11 benchmarks while cutting costs by 2.7x-3.7x.
Three new 'Aurora' model references briefly appeared in OpenAI's API and are being tested on Arena, with observers speculating they may be GPT-Image-3, though this remains a guess.
The fund's stake can increase by an additional 2% at the board's discretion for every 50% rise in company value, bringing current public-good equity commitments to roughly 20%.
Requiring two later sessions to reproduce a skill's change before reuse eliminated poison exposure in tests with Claude Haiku 5.5 and Sonnet 5.5.
Legal experts warn that despite removing the word 'train', Meta's updated terms allow scraping of websites associated with business accounts for any 'advertising and business products', potentially superseding robots.txt preferences.
The model achieves 11.43% WER on LibriSpeech test-clean with just 1.06 MB of INT8 weights.
Anthropic's proposed AI safety bill would designate the Commerce Department as the agency empowered to halt an AI model, but only if catastrophic harm thresholds of 50 deaths or $1 billion in damages are met.
Sphinx pauses git pushes to ask developers questions about the logic of AI-generated diffs, blocking pushes until the developer demonstrates understanding.
An open-source decision model trained on 2,676 contrastive data points that flip the correct answer by changing just one fact
An API for agents and RAG that charges only when an HTTP 200 response is returned along with actual results.
The new version eliminates repetition loops found in the preview, achieves 0/50 loops on SWE-bench tasks, and introduces an open-source engine enabling 262K context within a 16 GB memory budget.
On macOS, background crash dumps accumulate and consume disk space in Codex Desktop even while the app is functioning normally.
Pie is an open-source LLM serving system where user programs (Inferlets) directly control the KV cache and generation loops, reducing latency by up to 15% for agent workloads like ReACT.
Using a Warm Pool reduces gVisor sandbox startup time to approximately 57ms, eliminating runtime differences.
For the Seoul region, flat-rate pricing becomes cheaper than pay-as-you-go when monthly data transfer out exceeds 114 TB with a port-pair configuration.
The open-source project provides a Kubernetes-native runtime for AI agents, featuring sandboxed execution, state preservation, and resource multiplexing.
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