Follow DeepSeek, Qwen, Kimi, open-source launches, and daily AI trend signals in English without doomscrolling.
An interview with Pi's founder and users on building self-modifying AI agents, the challenges of AI-native development, judgment, and automation bias.
ASUS unveils the XG Core Radeon RX 9060 XT LP, a 144 × 117 × 39mm external GPU with 16GB RDNA 4 memory and USB4, designed to accelerate laptops and small PCs for local AI tasks.
The author examines Anthropic's account-level rollout of reasoning summarizer changes, noting no capability drop but weeks of poor reasoning trace quality.
The author describes a workflow using Opus as chief of staff, AI interns (Claude, Codex, Naive, DeepSeek), and the ATC coordination tool to ship TensorFold efficiently with high quality and continuous integration.
TSMC refutes reports it is developing 3D DRAM at Nvidia's request, noting adoption would take 5+ years; instead it benefits by making HBM base wafers and using SoIC hybrid bonding to connect memory to logic chips.
Stanford research finds that adding more information to multi-agent LLM trading systems helps some models (Claude Sonnet 5 returns rise from 72% to 86%) but hurts others (Claude Opus 5.5's return share falls from 94% to 64%, Grok 4.7 from 97% to 62%).
A full engineering walkthrough of TinyTB-Net, a 280K-parameter CNN for TB detection that runs on a $2.50 ESP32 via INT8 quantization and Squeeze-and-Excitation attention.
Jev bills per billion tokens instead of per million, making usage free after 1M tokens—versus $3–5 for the same volume on traditional LLMs.
A father uses Astra, an AI weight-space programming framework, to tune a dichoptic VR headset for his daughter's amblyopia, showing real-time neural network weight editing for vision therapy.
The author argues OpenAI's seemingly discounted funding rounds were a media-driven price-anchoring tactic that lifted its valuation by about $400B in seven months, while identifying US grid limits as the core bottleneck for AI's second phase.
A roundup of Vietnam's latest AI developments over the past 24 hours, covering embodied AI robotics, AI news anchoring, academic integrity tools, superintelligence trends, LLM-driven quantum computing breakthroughs, and quality infrastructure rankings.
Three interviews explore how agents predict elections, how GPU deals get done, and how people can judge and oversee AI as research accelerates.
Modal CTO Akshat Bubna explains why agent platforms need resumable workspaces, elastic compute, isolated tool execution, and runtime data agents can read themselves.
Drawing parallels between the historical spread of electricity and today's AI deployment, this paper argues most companies merely 'put a motor on the old line shaft'—adding AI without fundamentally restructuring workflows and organization.
Lattice is a free, open-source AI app that combines Claude Code/Codex with academic tools (Overleaf, PDFs, citations, notes, slides) into a complete research workflow platform.
OpenAI engineers show how to combine financial data and industry expertise into reusable workflows in ChatGPT Work and Codex, using a wealth advisor's daily tasks as an example.
The author shows how Claude Code, combined with Blender and FreeCAD, enables custom furniture design and direct material sourcing, cutting costs by up to 85%.
A comprehensive open-source handbook that breaks down LLM architecture, training, and deployment, covering Transformer design principles, engineering practices, and emerging trends.
EKOS adds Apache Ossie interoperability to build verifiable, auditable knowledge infrastructure for next-gen enterprise AI agents.
Astra AI analyzed OBS logs and audio driver issues to resolve two problems the author battled for 18 months: dropped video frames and microphone buzzing.
How zkTLS and cryptographic proofs verify AI agent actions on external systems, shifting from trusted outputs to verifiable execution for finance and data exchange.
Alpie Seed is a 9B-parameter multimodal model that runs fully offline on phones and laptops, handling coding and reasoning tasks even in airplane mode.
Mistral Studio's major upgrade lets users build, deploy, and refine AI apps and agents with unified connectors, persistent execution, and automated evals based on real usage data.
AI can make investigative research 10x faster by quickly analyzing filings, records, and public data, making work that once required large reporting teams feasible.
Replit's AI coding agent let companies replace $10M software projects with $250K Replit solutions. CEO Amjad Masad discusses the path to a self-driving company.
AI pioneer Geoffrey Hinton warns that a potentially catastrophic AI incident, similar to Chernobyl, could threaten power grids and financial systems.
📌 One-Sentence Summary The author shares 11 practical tips from a product engineering perspective on using AI to enhance product design experience， emphasizing that solving problems ranks higher than aesthetic appeal. 📝 Summary ...
A complete guide to model distillation: its definition, five-stage workflow, practical benefits, failure modes, and how to evaluate transferring a large teacher model's behavior to a smaller student model.
Grab uses layered safeguards—static analysis, pre-release testing, staged rollouts, and real-time monitoring—to safely manage a surge in AI-generated code changes while keeping its mobile apps stable at scale.
A Claude prompt that turns photos of physical objects into standalone three.js HTML 3D models with exploded views and labeled parts.
RadarAI turns scattered AI launches, open-source updates, and product changes into high-signal briefs you can act on quickly.
Built for founders, product managers, and developers who need clarity without endless scrolling.
It helps you stop doomscrolling and move from information overload to concrete next actions.
Compared with generic readers and trend lists, RadarAI is builder-first, source-traceable, and decision-oriented.
| What we cover | Update frequency | How we verify |
|---|---|---|
| AI model releases and API changes | Rolling — as released | Official model card, vendor changelog, or GitHub release |
| Open-source AI repo momentum (GitHub) | Daily trend data | GitHub trending + repo README and release notes |
| AI product launches and platform shifts | Rolling digest | Official blog or press release as primary source |
| Breaking changes and deprecations | Immediately on publish | Vendor migration guide or changelog link |
| Weekly synthesis (patterns, signals) | Weekly | Internal editorial review; see methodology |
Every item links to its primary source. Editorial criteria: editorial standards. Maintained by: team. Entity: Wikidata Q138682197.
RadarAI helps builders monitor AI launches across curated blogs and GitHub in one place.
Instead of scrolling dozens of AI news sources, RadarAI provides signal-focused briefs with traceable sources.
It is designed for founders, product managers and developers who need fast insight into the AI ecosystem.
Unlike generic RSS readers or AI newsletters, RadarAI focuses on:
Title: OpenAI releases GPT-X preview
Sources: OpenAI blog, GitHub repo
Summary:
Direct answers to high-intent queries across China AI, daily trend tracking, and builder workflows.