Daily Brief
Slash Stack — October 28, 2026
A ranked daily snapshot of AI, software, systems, infrastructure, agents, blockchain, research, and tools from Discover.
Top story
Folkbench/folkbench
GitHub · 3822 pts
AI API 中转站评测排行与切换工具：实测可用率、延迟与价格 · Open-source AI API relay benchmark, rankings & switcher for Claude Code / Codex
What matters today
Early progress on accelerating drug development with Claude
Anthropic · 217 pts · 194 comments
GitHub Copilot supports server-to-server authentication
GitHub Changelog
GitHub Copilot now supports server-to-server authentication for GitHub Apps installed on organizations, available in public preview. Services and agents built with the GitHub Copilot SDK can now make requests on… The post GitHub Copilot supports server-to-server authentication appeared first on The GitHub Blog .
Expanding our partnership with GSA to bring Claude to all levels of government
Anthropic · 39 pts · 28 comments
Parents sue OpenAI, alleging GPT-4o coached their daughter off seizure medication
TechCrunch AI
A family is suing OpenAI, saying ChatGPT coached their daughter to quietly taper off her seizure medication and keep it from her doctors before she died in February.
The data center boom has an upside: innovation for the US grid
TechCrunch AI
As the AI boom stresses the existing power grid, all sorts of new opportunities for grid modernization are also emerging as a result, industry insiders say.
Tools & releases
langchain-anthropic==1.7.7
LangChain
Changes since langchain-anthropic==1.7.6 release(anthropic): 1.7.7 ( #41538 ) fix(anthropic): trace resolved reasoning effort ( #41536 ) chore(infra): relax third-party dependency upper bounds ( #41407 ) chore(deps): bump certifi from 2025.11.12 to 2026.10.19 in /libs/partners/anthropic ( #41391 ) fix: fix dependencies in some partner packages ( #41266 )
Show HN: The New Way to Make AI UGC Ads in 2026
Show HN · 6 pts · 0 comments
In today’s digital marketplace, video content dictates ad performance and search rankings. However, traditional video production is slow, expensive, and difficult to scale. AivideosUGC solves this bottleneck. As a leading AI-powered UGC creation platform, AivideosUGC Turn product URL, image, or prompt into authentic, high-converting UGC video ads in minutes for TikTok, Reels, and YouTube Shorts.with Ai video agent and Ai actors ,ready-to-use video templates.
Show HN: Markdown is 40× more token-efficient with SQLite
Show HN · 8 pts · 0 comments
Hi HN, I’m Richard, founder of Native. I’m working on open-source context ownership, to stop AI centralisation: https://github.com/withnative/native My first focus has been making Markdown vaults powerful enough so that teams can self-host all of their context (messaging, docs and projects), without it being externally fragmented or rate-limited. I’m sharing some early results: Markdown vaults can be 40× more efficient with SQLite! https://www.withnative.ai/research-and-posts/markdown-contex… Here’s some of the main ideas: - SQLite or Markdown folders, you pick. You can project the same authoritative event log into either form; more…
langchain-openai==1.7.3
LangChain
Changes since langchain-openai==1.7.2 test(openai): use current lightweight model in integration tests ( #41509 ) release(openai): 1.7.3 ( #41506 ) chore(model-profiles): refresh openai model profile data ( #41505 ) build(infra): patch test-only Pillow without dropping Python 3.10 ( #41484 ) revert: patch vulnerable integration dependencies ( #41481 ) build(deps): patch vulnerable integration dependencies ( #41473 ) chore(infra): relax third-party dependency upper bounds ( #41407 ) chore(deps): bump aiohttp from 3.14.4 to 3.14.5 in /libs/partners/openai ( #41379 ) chore(deps): bump certifi from 2025.10.5 to 2026.10.19 in /libs/partners/openai…
Research worth reading
Learning Human Sports Motion Feasibility via Quantile Regression on Tracking Data
arXiv cs.AI
arXiv:2610.36183v1 Announce Type: new Abstract: We study time-to-arrival (TTA) in sports: the shortest plausible time a player needs to reach an arbitrary location on the pitch given their current kinematic state, estimated as the lower envelope of observed locomotion times. Rather than modeling space ownership through position density estimation or closed-form physics-based models, we cast TTA as a conditional quantile regression problem, estimating the lower quantile of locomotion time so the model learns a player’s lower-envelope arrival time. We train the model on optical tracking data from all 64 matches of the PFF FC FIFA World Cup 2022…
A Smart Instant Book Filter Model based on Dual-Objective Optimization
arXiv cs.AI
arXiv:2610.36287v1 Announce Type: new Abstract: Hospitality service in online marketplaces has become increasingly popular over the past few years, not only because it helps people easily rent short-term lodging but also because it empowers travelers to connect with locals and feel belonging. A typical pattern of these industries is a central platform mediating the economic interactions between guests and hosts, where a successful booking experience is the key to user satisfaction. However, one of the biggest challenges is the possible delay of response and chance of rejection when guests try to book a request-to-book listing. Previously, we…
The sleep framework: A new way for LLMs to retain knowledge in continual learning
Google Research
Education Innovation
Genie 4: A new generation of world simulation
Google DeepMind
Genie 4: our new world model unlocking unprecedented realism in real-time simulation.
Articles
Memory-Enforced GPU Sharing in Kubernetes with NVIDIA CUDA 13.4
NVIDIA Technical Blog
Many AI workloads need only a fraction of a GPU. Giving each one an entire device can leave capacity idle; sharing GPUs lets platform teams serve more workloads…
NVIDIA RTX Spark Powers Neural Rendering and AI Characters in Games
NVIDIA Technical Blog
NVIDIA RTX Spark is a new Windows PC platform for AI development, creation, and gaming in slim laptops and compact desktops. Powered by an NVIDIA Blackwell RTX…
Fix evaluation bias to unlock better models on Amazon Bedrock
AWS Machine Learning
Property Finder found that 96.8% of their vision-AI evaluation labels were inherited from the incumbent model, hiding its true accuracy. See how they built unbiased ground truth, applied evolutionary prompt optimization, and selected a more accurate, cost-effective model on Amazon Bedrock, cutting cost by 86% across 11 image-quality attributes.
Hacker News signal
Anthropic trained Claude on illegally obtained Stanford professors’ books
stanforddaily.com · 520 pts · 274 comments
Wikipedia’s Cleanup of AI-Generated Content
Hacker News · 476 pts · 216 comments
The Mythical Man-Month in the Age of AI
Hacker News · 453 pts · 323 comments
Police are using AI to pull over drivers for ‘suspicious’ behavior
Hacker News · 370 pts · 284 comments
Amazon Is Gutting Its AI Division After Sustained Failure
Hacker News · 315 pts · 240 comments
This snapshot is generated automatically from the Discover ranking pipeline. It is a selection layer, not original reporting or AI-generated analysis.