The latest in AI, clustered and ranked. Repeated hype gets pushed down so the actual signal stays up top.
Researchers propose a new method to improve textual hard-label adversarial attacks under low query budgets.
Current greedy algorithms for adversarial text generation often fail to find high-quality examples and incur excessive query costs. The authors introduce a new approach to optimize position selection, aiming to bypass the limitations of local search and exhaustive search methods.
Hyundai workers are striking over concerns regarding the deployment of humanoid robots in manufacturing.
SearchOS-V1 addresses repetitive loop failures in multi-agent systems during open-domain information retrieval.
LM Studio Bionic adds agentic capabilities to local model workflows with a focus on privacy.
Modal details the infrastructure engineering required to scale to one million concurrent sandboxes.
Proposes a method for textual hard-label adversarial attacks optimized for low query budgets.
Introduces JKP, an evaluation framework for measuring VLM epistemic stability under multi-turn Socratic prompting.
Hyundai workers strike over planned deployment of 25,000 Atlas humanoid robots by 2028.
EU mandates Google to share search data and open AI access on Android devices.
LM Studio Bionic introduces agentic capabilities for local open-model workflows.
Application of pregroup grammar-based quantum NLP to Arabic, a morphologically complex language.
Community report on DFlash optimization achieving 2.2x speedup for Qwen3.6 27B inference on local hardware.
Overview of Capcom's implementation of path tracing in the RE ENGINE for two specific game titles.
Announcement of Kimi K3 2.8T-A50B, a large open-weights model.
![Thumbnail for [AINews] Kimi K3 2.8T-A50B: the largest open model ever released; Opus 4.8-class at Sonnet 5 pricing](https://substackcdn.com/image/fetch/$s_!xVk0!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F7d22c3fe-fde7-4c91-9e50-83b1597fe747_1958x1160.png)
xAI initiates legal action against a user for generating CSAM using the Grok model.
User experiment on predicting MoE expert usage to optimize CPU/GPU offloading for inference speed.
Moonshot AI releases Kimi K3, a 2.8T parameter MoE model with 1M context window.
Guide on using Amazon Bedrock Managed Knowledge Base for building enterprise search for AI agents.
Report on Kimi's K3 model release, focusing on benchmark comparisons and market implications.
Benchmarks of speculative decoding methods (MTP, DFlash, n-gram) on Qwen 27B using llama.cpp.
Case study on using LLMs for legacy code modernization, highlighting limitations and necessary human oversight.
Community discussion on real-world coding performance of K3 model versus benchmarks.
Analysis of using classical machine learning classifiers to detect LLM-generated text.
Guide to building a voice-based restaurant ordering system using Amazon Bedrock and Nova 2 Sonic.
Critique of the trend toward massive 'open weight' models that exceed local hardware capabilities.
Analysis of cloud security risks where autonomous agents bypass billing guardrails, leading to significant cost overruns.
A championship-level Scrabble engine utilizing probabilistic modeling techniques.
Details on GPT-Red, an automated red-teaming model using self-play RL to identify prompt injection vulnerabilities.
Practical guide to building a voice agent using Patter SDK, covering guardrails, tool calling, and latency monitoring.
Google DeepMind and Isomorphic Labs outline their high-level approach to AI bioresilience.
Discussion on the future of automated laboratory data collection and robotics in scientific research.
AWS announces availability of Grok 4.3 on Amazon Bedrock with standard API features.
NVIDIA overview on integrating video analytics agents into enterprise workflows.
NVIDIA discusses infrastructure co-design for agentic AI using BlueField DPUs.
Linus Torvalds rejects calls to ban AI-generated code in the Linux kernel.
Overview of Anthropic's policy stance on state-level AI regulation and transparency laws.
Google rebrands NotebookLM to Gemini Notebook and adds cloud-based code execution capabilities.
Presents SearchOS-V1, a framework for improving collaboration and task tracking in open-domain information-seeking agents.
Analyzes failure modes in world-action models where world prediction accuracy does not correlate with action success.
Release of VideoChat3, an open-source video MLLM designed for efficient and generalist video understanding.
MeanFlowNFT uses RL to align diffusion and flow models for faster few-step sampling.
Technical breakdown of how Modal scaled infrastructure to support one million concurrent sandboxes.
Proposes statistical self-consistency methods to improve LLM conditional inference.
RoboTTT scales robot policy visuomotor context to 8K timesteps via test-time training.
Technical report on WanSong, a foundation model for efficient, controllable long-form music generation.
Introduces Wan-Streamer v0.3, a streaming interaction model for video generation based on world and event streams.
Proposes SEED, a method for self-evolving on-policy distillation in agentic reinforcement learning.
Release of Thinky's Inkling multimodal models (975B and 276B parameters) under Apache 2.0.
![Thumbnail for [AINews] Thinky's Inkling: 975B-A41B multimodal, new best American Apache 2.0 open model (with Inkling-Small, 276B-A12B)](https://substackcdn.com/image/fetch/$s_!AvrX!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F90048da3-a87f-44d8-8ad4-e954031d2721_2540x1692.png)
Technical breakdown of inference uptime metrics, failure domains, and evaluation criteria for infrastructure providers.
Google announces Gemini-powered notebook product for research and information synthesis.
SpaceXAI open-sources the Rust-based agent harness, TUI, and tool dispatch system used for their coding CLI.
Release of Inkling, a 975B parameter multimodal MoE model with 41B active parameters and controllable inference effort.
Overview of using AI agents to accelerate development of OpenUSD runtimes for physical AI simulations.
Same signal-first ranking, earlier dates.
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