ISTA DASLab releases GSQ-RCO quantized GGUFs for the 763.2B parameter DeepSeek-V4.1-Flash-1017, achieving 100% benchmark retention at 2.00 bpw on a 12GB GPU.
The policy change permits Google to use personal data from connected services to tailor advertisements.
NVIDIA has released Nemotron 3.5 Bolt E4B, a small model for interactive agents that operates on 4GB VRAM.
The free and open-source tool allows users to download models from Hugging Face and access a local OpenAI-compatible API via Alt+Space.
Anthropic processed 30,000 merges per day and reduced CI CPU usage by 25% by adopting Scion.
Anthropic advises defaulting to one model and context window, noting that tool choice degrades past 30-50 definitions and that a single loop ran 2x faster than multi-agent harnesses.
OpenEnv joined the AAIF project and released v0.10.0, enabling agent learning environment development to proceed under a neutral foundation.
OpenAI donated the Open Responses specification to AAIF to promote the standardization of LLM calls.
The author proposes building RL environments that simulate complex office dynamics, including approval chains, budget constraints, and human interactions, to test if agents can achieve goals beyond simple tool use.
The feature is available in 1.144.0-insider and scheduled for general release next Wednesday.
The free beta tool compiles repositories into a queryable map to reduce source code reading by 2-6x compared to mainstream agents.
The map identifies specific standards like Visa TAP, Proof x401, and MCP that allow banks to verify agent identity and match actions to user-approved limits.
The model operates as a true speech-to-speech system with inference speeds faster than real-time and runs locally on MacBook Pro M4 Max or higher.
The tool uses SCIP to connect API definitions with consumer references, providing evidence on dependency versions and call sites before release.
The self-service feature uses fixed-size cache chunks to reduce tiered cache traffic by 6% and eliminate manual range-size tuning.
The closed beta feature uses hybrid ML-KEM-768 and X25519 cryptography to ensure decryption keys are only accessible by servers within a customer's chosen geography.
A new framework identifies scientifically plausible research directions that existing communities are unlikely to propose, recovering 2025 combinations at 35.9 times chance.
The post outlines strategies to prevent context window bloat and stale data by using targeted search tools, offloading large results, and delegating reading tasks to subagents.
The 9B open-weights model achieves a 65 score on the AA Decision Index, matching d1-ultra while costing approximately $23 less per 1M tasks.
The platform processes over 500PB of data across 40 regions, using Rust rewrites and distributed caching to achieve a 12x latency improvement.
The coding-specific finetune of Qwen 3.8 Flash Next matches the size of Gyro-S while using half the experts and more bits per expert.
DeepSeek charges $0.75 per 1,000 requests for its API, while Tencent claims its engine handles hundreds of millions of daily calls across 157 authoritative sources.
In a study with 17 researchers, domain experts rated ideas developed with LitPivot as better grounded in literature than those developed with a text editor and AI chat tool.
Qwen attached citations to 98.3% of answers and was the only engine to ignore a planted fake concept, outperforming ChatGPT and DeepSeek in source reliability.
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