No. 144

AI Daybook

This issue 20 stories · 13 outlets2 repos3 papers

Today's briefing

Open source & papers radar

Repos and papers in this issue
From Seoul

Korea Desk

What Korea’s tech press is reporting, summarized in English.

2 stories in this issue come from Korean outlets. Originals are in Korean.

Agents

4 stories · 2 on the front pageAll stories in this section →

Physical AI

5 stories · 4 on the front pageAll stories in this section →

Open Source & Tools

2 stories · 1 on the front pageAll stories in this section →

Research

6 stories · 3 on the front page · 2 at the Korea DeskAll stories in this section →

Industry & Policy

2 storiesAll stories in this section →

Stories in this issue

20 stories
Nov 5
Physical AIPaper

VFlash achieves 25x faster visual planning generation for robot motion forecasting

The authors introduce VFlash, a method for fast visual planning using Flash Primitive Decoding. It exploits the known structure of visual primitives to predict their coordinates jointly, achieving approximately 25x faster generation for 3D point motion forecasting. A world action model conditioned on VFlash plans achieves 70.2% average success across MolmoSpaces task suites, compared with 62.6% for the baseline.

Hugging Face +2 moreTrending 22
Nov 4
Physical AIPaper

PyRUA-REAL achieves 91.1% success rate through embodied recursive self-improvement on physical tasks

PyRUA-REAL is a framework for embodied recursive self-improvement through real-world exploration and code refinement. Coding agents retain interaction experience as persistent memory and reusable executable skills. Across eight real-world tasks, PyRUA-REAL achieves an average success rate of 91.1%, and 84.4% on the RoboDojo benchmark.

Hugging Face +1 moreTrending 11
Nov 6
Research

METR finds Anthropic's model development pace roughly doubled, driven by AI-assisted research

Nonprofit METR audited Anthropic's internal research data for eleven weeks and concluded that the pace of model development has roughly doubled, with about 80 percent of the speedup driven by AI-assisted research. Anthropic redacted some evidence, and skeptical voices exist inside the company.

The Decoder
Nov 6
LLM

Thinking Machines' Inkling 2 Small claims top spot among western open-weight models

Thinking Machines, founded by former OpenAI chief technology officer Mira Murati, released Inkling 2 Small, a mixture-of-experts model with 594 billion parameters. The company claims it is the strongest western open-weight model, though better agentic performance comes with sharply rising token usage.

The Decoder +2 more
Nov 6
Physical AI

Physicl raises $10 million to close the sim-to-real gap for robots

Physicl raised $10 million to solve the sim-to-real gap using a pipeline originally built to market goods online.

TechCrunch
Nov 6
Research

OpenAI introduces BioBasicsBench to measure AI agents' wet-lab science capabilities

OpenAI introduced BioBasicsBench, a 100-task benchmark measuring how well AI agents interpret raw experimental data and handle everyday wet-lab science.

OpenAI News
Nov 6
Physical AI

Serve Robotics launches Physical AI Services business for robots

Serve Robotics announced that it will launch a new business line called Physical AI Services to offer customers connectivity and data tools, alongside its third-quarter earnings announcement.

TechCrunch Robotics
Nov 7
Open Source & Tools

Zyphra releases ZYFA, FP8 FlashAttention for AMD MI355X up to 1.76x faster

Zyphra released ZYFA, open-source FP8 and BF16 prefill attention kernels for AMD Instinct MI355X. On real model activations, the FP8 kernels run 1.16–1.76x faster than AMD's AITER with 62–78% lower error at head dimension 128.

MarkTechPost
Nov 7
Agents

Perplexity launches Teammates, always-on AI agents for ongoing projects

Perplexity launched Teammates, always-on agents that work through ongoing projects on their own virtual machines. The feature requires the Max plan at $200 per month.

The Decoder
Nov 6
Agents

Amazon adds text messaging to Alexa for Shopping

Amazon added a text messaging feature to Alexa for Shopping that lets customers purchase items by describing products or providing photos. Alexa searches Amazon listings, sends back recommendations via text, and orders items on users' behalf.

The Verge AI +1 more
Nov 6
Research

Frontier AI models advance from finding vulnerabilities to writing patches

Since Anthropic's Claude Mythos Preview in April demonstrated finding software vulnerabilities and generating attack code, OpenAI, Anthropic, and Google have released frontier models with enhanced vulnerability discovery and attack validation capabilities. Recent developments show AI now writing patches to fix identified vulnerabilities.

Korean outletByline Network
Nov 6
Research

Anthropic accelerates model development by about 2x through AI self-improvement

An independent evaluation report from METR found that Anthropic has roughly doubled its model performance improvement speed using AI. Since October last year, model enhancement speed accelerated by about 1.9x, achieving in one year what previously took two years. Three undisclosed models trained recently were also identified.

Korean outletAI Times
Nov 6
Industry & Policy

Palo Alto Networks in talks to buy AI agent security startup Clutch for $500M

Palo Alto Networks is in talks to acquire Clutch, an AI agent security startup backed by Lightspeed and SignalFire, for $500 million. Clutch was last valued at $85 million.

TechCrunch
Nov 6
Agents

Airbnb plans to launch AI travel agent in first half of 2027

Airbnb said in its Q3 2026 earnings letter that it will roll out an AI agent in the first half of 2027 to help users plan and book travel. The company plans to leverage its experience matching hosts and guests and a new interface built specifically for travel.

The Verge AI +1 more
Nov 5
Physical AI

AGIBOT unveils GO-3 Preview, tops three embodied AI benchmarks

AGIBOT unveiled GO-3 Preview, an embodied foundation model that integrates pre-training, post-training, and post-deployment learning. The model secured first-place rankings on three major embodied AI benchmarks and helps robots develop general-purpose capabilities.

Robotics & Automation News
Nov 6
AgentsRepo

roblox-studio-mcp, a Model Context Protocol server for Roblox Studio

roblox-studio-mcp is an open-source, lightweight Model Context Protocol server for Roblox Studio. It lets AI assistants like Claude and Cursor connect to read object trees, edit scripts, and run playtests safely.

GitHubTrending 24
Nov 7
ResearchRepo

WebsiteBench, evaluating AI agents' ability to reconstruct websites through browser exploration

WebsiteBench is a benchmark that evaluates whether AI agents can rebuild websites through browser exploration. It measures web agents' capabilities in browser automation and visual evaluation.

GitHubTrending 18
Nov 7
Open Source & Tools

NVIDIA open source tools help researchers advance next-generation 6G network development

NVIDIA's open source tools for 6G development, including the Aerial wireless software and Sionna, provide researchers with a foundation for testing ideas and comparing results. The tools connect simulation and AI training with experiments on real over-the-air wireless systems.

NVIDIA Blog
Nov 6
Industry & Policy

OpenAI pledges not to use NDAs with public officials on data center projects

Following midterm elections where voters opposed data center expansion, OpenAI announced it will not use non-disclosure agreements (NDAs) with public officials on data center projects. The company said it will allow only narrow protections covering legitimate security information, trade secrets, and competitively sensitive information.

The Verge AI
Nov 6
ResearchPaper

Terminal-Bench 2.0 audit finds defects in 30% of benchmark, proposes continuous-validation workflow

Researchers auditing Terminal-Bench 2.0, a coding agent benchmark, identified defects in approximately 30% of the benchmark and released Terminal-Bench 2.1 with repairs. The study shows that as models improve, existing verifiers can reject valid solutions, and changes to evaluation infrastructure can invalidate benchmark assumptions. It also demonstrates that resource allocation, such as time limits, materially affects agent performance and must be part of the measurement specification.

Takara TLDR