Tech News
The latest AI news we announced in June 2026
June Pixel Drop hero.
June 2026 newsletter
The June edition of my sponsors-only monthly newsletter is out. If you are a sponsor (or if you start a sponsorship now) you can access it here . This month: Claude Fable 5, GPT-5.6, and US export restrictions.
huggingface/transformers Release v5.13.0
Release v5.13.0 New Model additions KimiK 2.5, 2.6, and 2.7 This release includes the architecture for Kimi 2.5 which is used by 2.5-2.7: Kimi K2.5 is an open-source, native multimodal agentic model that advances prac.
Run NVIDIA Nemotron and OpenAI GPT OSS models on Amazon Bedrock in AWS GovCloud (US)
We're excited to introduce US-based frontier open-weight models in AWS GovCloud (US). With this release, Amazon Bedrock now supports OpenAI’s open-weight GPT OSS models (120B and 20B) and NVIDIA Nemotron (Nano.
Mastering Agentic Techniques: AI Agent Reinforcement Learning
Reinforcement learning (RL) is central to aligning language models, from reinforcement learning with human feedback (RLHF) within AI assistants to newer.
GitHub Repos
sansan0/TrendRadar
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载，你的 AI 舆情监控助手与热点筛选工具！聚合多平台热点 + RSS 订阅，支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI...
# Python# ai# barknexu-io/open-design
🎨 The Vibe Design Workspace & the open-source Claude Design alternative.
# TypeScript# agent skills# ai agentsFlorianBruniaux/claude-code-ultimate-guide
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates.
# Python# agentic coding# ai assistantResearch Papers
ReContext: Recursive Evidence Replay as LLM Harness for Long-Context Reasoning
Recursive Evidence Replay as LLM Harness for Long-Context Reasoning (RECONTEXT), a training-free inference method for improving long-context reasoning that uses model-internal relevance signals to construct a query-conditioned evidence pool and replays it before final...
When LLMs Develop Languages: Symbolic Communication for Efficient Multi-Agent Reasoning
Communicative Language Symbolism Routing (CLSR) is proposed, a test-time framework in which multiple LLM agents autonomously invent, evolve, and share compact Language Symbolism Frameworks (LSFs), while a latent-free router adaptively selects and composes these languages per...
SPLC: Social Preference Learning for Crowd Robot Navigation
A Social Preference Learning for Crowd Robot Navigation (SPLC) algorithm to eliminate the need for detailed reward design and introduce a social preference feedback mechanism to automatically generate preference data through principled preference evaluation criteria.