Today split between Nvidia pushing in-silicon agent containment, Anthropic shipping a faster cheaper Claude Sonnet 5.5, and a stack of concrete agent eval, retrieval, and security artifacts.
Nvidia’s clearest shipped artifact today is BlueField-4 Sentry and its Open Agent Safety Platform pitch: quarantine an agent in milliseconds and keep policy enforcement running on the DPU even if the host is compromised.
Anthropic says Sonnet 5.5 is over 30% faster and up to 30% cheaper than Sonnet 5, making it a direct operator-side upgrade even with reports that the long-thinking SVG failure mode still shows up.
GitHub is not just claiming AI security value here; it says the open-source agent found 24 Android vulnerabilities and explains the taskflow so teams can run the same system on their own apps.
The Cyber Index is a concrete new eval surface for security agents, combining three open partner benchmarks around finding and fixing enterprise vulnerabilities instead of relying on generic agent scores.
On 28 research tasks, GPT Researcher says swapping embeddings for Jev produced 59% more relevant context and a 15-to-3 blind preference win at the same cost per report, which is a strong applied datapoint for decision-model retrieval.
The author trained linear probes to predict assistant-persona outputs and then used probe steering to measure how GCG triggers changed persona balance in Qwen3-8B.
The post recommends giving activation oracles multiple tokens, sampling several times for consensus, and using AUC instead of accuracy for binary classification.
The study trained Nemotron-3-Super from a character specification and then ran reward-hacking RL runs for anti-cheating, pro-cheating, and neutral characters.
Muse AI Agent sent an apology from the user's account after a no-show for an MX Keys Mini pickup and asked whether to stop auto-replies that claim the user is home.
Commenters say the demo includes seven tiny browser-based models, and one commenter reports the default arithmetic answer from PetitGPT research-v1 is wrong before correcting itself.
Commenters report that OsmAnd works fine on a Pixel 7 with GrapheneOS, while another says disabling an exploit protection option makes a Pixel 9a noticeably faster.
Commenters discuss a Postgres inconsistency around timestamp versus timestamptz comparisons under a DST spring-forward gap, and one says the result depends on the TimeZone setting.
Commenters compare the paper to earlier work on gzip and language modeling, while another says low-level mechanisms may underlie the cognitive phenomena discussed in the paper.
The paper proposes disaggregated quantization, which uses different computation formats, weights, and storage placement for prefill and decode, and reports better decode accuracy without higher inference cost on Qwen 3 and Gemma 3.
IST Austria Distributed Algorithms and Systems Lab · arXiv · code
The paper says GRPO can leak gradient noise from summary tokens into tool-decision tokens, and SLCA-GRPO adds segment-locked credit assignment to address that failure mode.
ZooWork-ShopRanker is a family of 0.6B, 4B, and 8B rerankers trained on judge-labeled shopping preference data with position-debiased judgments and agreement tiers.
The paper introduces continuous depth batching, which forms new batches between loop steps so looped language models with different depths can be batched efficiently.
The paper subtracts a scalar multiple of the vocabulary-row mean from the output head before quantization and uses a one-dimensional validation search to preserve the full-precision softmax distribution.
RayOrch preserves parent-child relationships, child order, completion status, and result routing while batching children across parents for foundation-model data pipelines.
Noah Shinn says Instinct is an app-less assistant that works by text, voice, and email to book travel, make reservations, and manage credit cards and personal data.
CLM-v0.1-8B uses a frozen Qwen3-8B encoder with two projection heads and a bidirectional InfoNCE loss, and the release says zero-shot performance is on par with Jev on computer-use, gaming, and tool-calling tasks.
Bonsai 2 27B is a ternary GGUF model for llama.cpp that is about 5.9 GB instead of roughly 54 GB FP16 and is reported to run at about 47 tok/s on an Apple M5 Max laptop.
Qwen3.8-27B ships as Hugging Face weights and configuration files, with Qwen Cloud planning a hosted version that defaults to 1M context length and built-in tools.
Paperclip is a Node.js server and React UI that orchestrates teams of AI agents with org charts, budgets, governance, goal alignment, and cost tracking.