Brief diario
Slash Stack — 17 de octubre de 2026
Snapshot diario priorizado de IA, software, sistemas, infraestructura, agentes, blockchain, research y herramientas desde Discover.
Historia principal
Introducing Reflection Beam: an open-weight model for agentic coding on AWS
AWS Machine Learning
Reflection AI’s Beam is an open-weight model for agentic coding and long-horizon tasks. This post shows how to deploy Beam on AWS: start with an Amazon SageMaker JumpStart real-time endpoint, or use Amazon SageMaker HyperPod Inference with JumpStart, SGLang, or vLLM for Kubernetes-native control over distributed GPU infrastructure.
Lo que importa hoy
Show HN: Fakeipedia – Wikipedia for worlds that don’t exist
Hacker News · 24 pts · 9 comentarios
Hi HN! Fakeipedia is an automatic world-building platform which takes an imagined world and makes a whole wiki that you can endlessly explore by clicking red links. I came up with this idea a few months ago after playing around with worldbuilding in Gemini, but I didn’t want to release it until a powerful enough model could do it justice, and I decided that Argon is creative enough to write articles that are worth reading. I was surprised how well it turned out and how engaging some of the writing actually is. If you want to generate an article there is a nominal charge attached ($0.90), which helps cover AI/Stripe costs, and I think I just…
Claude reveals ECDSA curve origins
Anthropic · 817 pts · 309 comentarios
https://words.filippo.io/seeds-solved/
Replit is no longer working with Anthropic, CEO says
TechCrunch AI
Masad said the decision was made for a number of different reasons, including cost. Replit announced a partnership with OpenAI in August, but there was never any indication that it was no longer with Anthropic.
“thegentlemanpervert” producing AI CSAM is a NJ prosecutor, say cops
Ars Technica Policy
Discord user flagged AI CSAM, triggering arrest of New Jersey deputy AG.
Show HN: Stoke Money – Personal finance app built around a cash flow forecast
Hacker News · 26 pts · 19 comentarios
Hi HN, I’ve been through many finance tracking apps, starting with Personal Capital, then Monarch, and most recently Copilot. None of them have worked perfectly for my needs. All of these apps tend to model “cash flow” as the net sum of your transactions during a month, yet while credit card charges are reported immediately, they are typically deducted from checking (cash) accounts the following month when the bill is due. As a result, I’ve always had to maintain a separate spreadsheet to track my actual cash flow. These apps also have a huge focus on managing budgets, which has never been for me. My spending is rarely consistent…
Tools y releases
Show HN: Things to Do API
Show HN · 7 pts · 2 comentarios
I built an api/mcp for local events: pop-ups, one-off events, concerts, etc. currently covering the SF bay area. I’ve been building a bunch of consumer apps lately around personalization and recommendation and have had a hard time finding this data in one spot. agents can find useful stuff through tool calls / web search, but slow. you can scrape on demand too, but i wanted a faster data set and couldn’t find an existing provider for the mix of event types I was searching for. the methodology for it is to find influential accounts/posters/etc. and do a fan out across things that they co-post with. mcp: `claude mcp add –transport http…
Show HN: Llmspeed – feel how fast a local LLM runs before you buy the hardware
Show HN · 17 pts · 4 comentarios
0.13.13: OpenAI browser tools and Cloud fixes
Browser Use
This release includes the OpenAI browser-tool driver and fixes two integration issues. Handle temporary empty Cloud tab URLs during navigation. Keep screenshots, crops, and pointer coordinates aligned on scaled displays. Provide 18 default browser tools and six optional actions through Browser Use Actor. Support local browsers, Browser Use Cloud, and borrowed browser sessions. Install the openai-tools extra with OpenAI Python 3.31+. OpenAI 3.x uses httpx2; use its DefaultAsyncHttpxClient for custom HTTP clients. Validation: all eleven driver tests pass. Both new regression tests fail on the earlier implementation. Pre-commit, type checks,…
Research que vale la pena leer
Grounding AI agents in biological reality: Building blocks for autonomous wet labs
Google Research
General Science
Artículos
Building trust in AI agents: A production-ready evaluation framework with Amazon Bedrock AgentCore
AWS Machine Learning
Autonomous AI agents fail softly: latency stays flat while answer quality quietly erodes. This post shares a nine-stage evaluation framework, built on Amazon Bedrock AgentCore, that catches silent quality regressions across the full agent lifecycle, from first commit to live production.
Accelerating a ROS 2 Node with an AI Agent and NVIDIA Isaac ROS
NVIDIA Technical Blog
GPU acceleration can speed up compute-intensive robotics workloads, but a fast CUDA kernel alone does not guarantee a fast ROS 2 graph. As messages move between…
Continuous accountability for Verified bots
Cloudflare Blog
Identity alone doesn’t guarantee a bot will behave responsibly. We are introducing a system to continuously evaluate whether Verified bots honor site preferences, like robots.txt and HTTP 429s, ensuring they remain accountable over time.
Señal de Hacker News
Claude reveals ECDSA curve origins
Anthropic · 817 pts · 309 comentarios
https://words.filippo.io/seeds-solved/
90% of US working hours are spent on tasks not covered well by AI benchmarks
Hacker News · 469 pts · 404 comentarios
How the Claude Code team does code review
Hacker News · 313 pts · 286 comentarios
Anthropic assigned highest junk credit rating in June
Hacker News · 243 pts · 75 comentarios
https://finance.yahoo.com/technology/ai/articles/anthropic-s…
Show HN: Gemini 4 Argon plays StarCraft
Hacker News · 211 pts · 93 comentarios
I’ve refreshed StarSkirmish Bench, a benchmark where LLMs play StarCraft BW by writing code, with results from the flagship models of OpenAI, Anthropic, Google, and Muse
Este snapshot se genera automáticamente desde el ranking de Discover. Es una capa de selección, no reporteo original ni análisis generado por IA.