From 26 items, 11 important content pieces were selected
- Microsoft and OpenAI end their exclusive and revenue-sharing deal ⭐️ 9.0/10
- GTFOBins ⭐️ 8.0/10
- What’s new in pip 26.1 - lockfiles and dependency cooldowns! ⭐️ 8.0/10
- OpenAI available at FedRAMP Moderate ⭐️ 8.0/10
- The Optimal Sample Complexity of Multiclass and List Learning ⭐️ 8.0/10
- Learning to Think from Multiple Thinkers ⭐️ 8.0/10
- Talkie: a 13B vintage language model from 1930 ⭐️ 7.0/10
- Easyduino: Open Source PCB Devboards for KiCad ⭐️ 7.0/10
- microsoft/VibeVoice ⭐️ 7.0/10
- Physical AI that Moves the World — Qasar Younis & Peter Ludwig, Applied Intuition ⭐️ 7.0/10
- SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning ⭐️ 7.0/10
Microsoft and OpenAI end their exclusive and revenue-sharing deal ⭐️ 9.0/10
Microsoft and OpenAI are reportedly ending their exclusive and revenue-sharing partnership terms, opening the door to broader cloud and infrastructure competition in frontier AI.
hackernews · helsinkiandrew · Apr 27, 13:22
标签: #AI industry, #OpenAI, #Microsoft, #cloud infrastructure, #strategic partnerships
GTFOBins ⭐️ 8.0/10
GTFOBins is a curated catalog of Unix binaries that can be abused for shell escapes, file operations, and privilege escalation in security and misconfiguration scenarios.
hackernews · StefanBatory · Apr 28, 06:27
标签: #security, #privilege-escalation, #linux, #ctf, #sysadmin
What’s new in pip 26.1 - lockfiles and dependency cooldowns! ⭐️ 8.0/10
A write-up on pip 26.1 highlights important Python packaging updates including lockfile support, dependency cooldowns, and the end of Python 3.9 support.
rss · Simon Willison · Apr 28, 05:23
标签: #Python, #pip, #dependency-management, #packaging, #developer-tools
OpenAI available at FedRAMP Moderate ⭐️ 8.0/10
OpenAI announced that ChatGPT Enterprise and the OpenAI API are now available under FedRAMP Moderate, enabling compliant use by U.S. federal agencies.
rss · OpenAI News · Apr 27, 14:00
标签: #OpenAI, #FedRAMP, #AI Governance, #Enterprise AI, #Public Sector
The Optimal Sample Complexity of Multiclass and List Learning ⭐️ 8.0/10
The paper claims an optimal characterization of multiclass and list-learning sample complexity via the DS dimension by proving a longstanding conjecture and closing the known upper-lower bound gap.
rss · arXiv AI/LLM · Apr 27, 17:54
标签: #learning-theory, #sample-complexity, #multiclass-classification, #statistical-ml, #theoretical-computer-science
Learning to Think from Multiple Thinkers ⭐️ 8.0/10
The paper analyzes when learning from Chain-of-Thought traces produced by multiple distinct correct reasoners is computationally hard and presents an efficient active learning approach that overcomes this in certain settings.
rss · arXiv AI/LLM · Apr 27, 17:43
标签: #machine-learning-theory, #chain-of-thought, #active-learning, #theoretical-computer-science, #AI-reasoning
Talkie: a 13B vintage language model from 1930 ⭐️ 7.0/10
Talkie is a 13B language model designed to speak with the knowledge and style of around 1930, prompting discussion about historical grounding and LLM behavior.
hackernews · jekude · Apr 27, 21:55
标签: #llms, #historical-language-models, #fine-tuning, #ai-research, #hacker-news
Easyduino: Open Source PCB Devboards for KiCad ⭐️ 7.0/10
Easyduino provides open-source KiCad-based devboard PCB templates that help developers customize and build Arduino- and ESP-style boards more easily.
hackernews · Hanqaqa · Apr 27, 17:45
标签: #open-source-hardware, #KiCad, #PCB-design, #embedded-systems, #Arduino
microsoft/VibeVoice ⭐️ 7.0/10
Simon Willison notes Microsoft’s MIT-licensed VibeVoice speech-to-text model with integrated speaker diarization and shows how to run a quantized MLX version locally on a Mac.
rss · Simon Willison · Apr 27, 23:46
标签: #speech-to-text, #ASR, #open-source AI, #Microsoft, #MLX
Physical AI that Moves the World — Qasar Younis & Peter Ludwig, Applied Intuition ⭐️ 7.0/10
An interview with Applied Intuition’s leadership explores how the company deploys AI for autonomous and physical systems such as mining equipment, drones, trucks, and warships in highly adversarial environments.
rss · Latent Space · Apr 27, 23:02
标签: #physical-ai, #autonomous-systems, #robotics, #defense-tech, #applied-ai
SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning ⭐️ 7.0/10
SpecRLBench is a new benchmark for evaluating how well specification-guided reinforcement learning methods generalize across unseen LTL specifications, environments, and task complexities.
rss · arXiv AI/LLM · Apr 27, 17:40
标签: #reinforcement-learning, #benchmarking, #formal-methods, #generalization, #robotics