Daivison Cardoso @daivbr

Fun interactive science app ideas | Part 8 Built an app to explore details about different pollinators Code Gemini 3.1 Pro

👍 强烈推荐 @xicilion 大佬的 Markdwon 插件 (docu.md) , 终于找到一个能让 plantuml 渲染的线条不打架人类可读的了。图一是插件渲染后的，图二是原版

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KAT-Coder-Pro V2.5 is now live — the next leap in agentic coding. - Strong Long-Horizon Task Handling - Excellent General Agentic Capabilities - Multi-Harness-Driven RL Scaling API KEY: streamlake.ai/product/kat-co… Tech report: arxiv.org/abs/2607.05471

Loving this piece: bringing delight to your daily coffee, your daily workflows, and your AI bill. @gumloop is now running open-weight models on Fireworks in production. 80% lower cost vs. closed-lab APIs. Disbelief might be the reaction. But the savings are real.

Max Brodeur-Urbas @MaxBrodeurUrbas

4 days ago

there are certain costs people have stopped questioning so when one of them drops 80%, the first reaction is disbelief open-weight models will give everyone that reaction at scale this year excited to be partnering with @FireworksAI_HQ on this

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Announcing Robostral Navigate, our first model for embodied navigation: an 8B robotics navigation model that guides robots to autonomously perform tasks specified with natural language. Single RGB camera. State-of-the-art on R2R-CE.

On the Codex side, we’ve also got some major upgrades for developers today: - Edit files directly, both markdown and code - See and review PRs without leaving the app - Access Pro mode in Chats, and hand off to Codex - Use the all-new Ultra mode for your most demanding work - Explore brand-new documentation - If you’ve grown deeply attached to the Codex app icon, you can keep it

Introducing ChatGPT Work, a new agent in ChatGPT powered by Codex and GPT-5.6. It can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. It’s a whole new way to get work done.

Sol, Terra, and Luna, our GPT‑5.6 family of models, are starting to roll out now in ChatGPT, Codex, and the API.

Exclusive NEO Hand Trading Card

Bernt Bornich @BerntBornich

4 days ago

Introducing NEO’s 25 Degrees of Freedom, tendon-driven hands — nearing or surpassing human-level dexterity, strength, speed, and reliability. For seventy years, robotics worked around the hand problem. The humanoid bet is the reverse: it lives or dies at the fingertips.

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GPT-5.6 Sol, Terra, and Luna are now available in Cursor. On CursorBench, Sol scores 67.2%.

Agentic AI adoption is on fire at @Uber, and it's changing the way we build, not just in engineering, but across the entire company. Today, 99% of our engineers use AI tools. More than 70% of pull requests are attributed to local or cloud agents. And our engineers have built 2,500+ agent skills across the software development lifecycle. Those numbers are exciting, but they led us to a much bigger question: How do we bring agentic AI beyond engineering? Finance. Legal. Operations. Marketing. Customer Support. HR. Procurement. These functions run on complex workflows that are often manual, highly nuanced, and spread across dozens of systems. You can't automate them effectively by looking at process diagrams or documentation. You have to understand how the work actually gets done. So we created something called Agentic Pods. The idea is simple. We handpicked ~30 of our most AI-proficient engineers (people with deep knowledge of Uber's systems) and paired each of them with a domain expert from a business function. Then we gave every pod just two weeks. • Days 1 – 2: Shadow the expert. Observe every step. Document workflows. Ask questions. Build intuition. • Day 3: Prioritize opportunities based on scale, repetition, business impact, and data availability. • Days 4 – 5: Build a working agent alongside the person doing the job. • Days 6 – 9: Validate with several others performing the same work. Does it generalize? Does it actually make their job better? • Day 10: Ship. In just the past two months, we've run 16 Agentic Pods across 16 different business functions. • Capital allocation across 150 cities: 15 hours → 30 minutes. • Financial pacing reports: 2 days → 10 minutes. • Marketing web quality assurance: 2 weeks → 50 minutes. • Support workflow creation: 9,000 manual workflows → self-service automation. The productivity gains are impressive, but what surprised us most wasn't the speed. • It was how quickly engineers embedded in unfamiliar domains uncovered opportunities that had been hiding in plain sight. • The biggest wins rarely come from automating one task. They come from rethinking an entire workflow. Once you redesign the workflow around AI, you often eliminate handoffs, remove unnecessary approvals, replace legacy tooling, reduce vendor spend, and dramatically accelerate decision-making. • The workflow becomes the unit of automation - not the individual task. • The most impactful agent skills cut across teams, orgs, functions, tools, and systems. The biggest lesson? The best AI opportunities are rarely visible from the outside. You discover them by sitting next to the people doing the work, understanding every friction point, and building with them, not for them. We're now forming a dedicated team to scale this further and go deeper. They'll deeply understand the work, redesign it from the ground up, and use AI to fundamentally change how the business operates. It's exciting times!

ainda bem que ta vindo essa leva de modelos novos com preço acessível pra dar uma recalibrada na Anthropic e OpenAI

Alexandr Wang @alexandr_wang

4 days ago

5/ the meta model api is in public preview. for the first time, developers can build directly using our most capable model. muse spark will have premium performance at low cost, and is a great fit for agentic, coding, or multimodal workloads. early partners already trying it out

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Muse Spark is now in public preview on Meta Model API. It's built for agentic workflows with strong code generation, multi-step agents and native multimodal perception. Here's what it can do 🧵

Muse Spark 1.1 Meta Model API is now in public preview Anyone already got access? 👀

We built an interactive 3D module to teach kids about what temperature does to water. - You adjust the temperature in real time - You see the impact on the state of water and what's changing at a molecular level - You can unlock two secret states in there if you pass a quick quizz This is the first of a giant series. We're turning the open source @withmarbleapp curriculum into a full bank of these interactive lessons. One for each topic kids learn in primary school. If you are a parent or primary school teacher, let us know in comments which module you want to see next. Link to play with the water lab below 👇

We’re breaking ground on a new 1GW data center in Sturgeon County, Alberta, our first data center in Canada and 33rd in our global fleet. about.fb.com/news/2026/07/b…

We’re excited to introduce Muse Spark 1.1, a significant upgrade from the first Muse Spark model we released earlier this year. Along with this release, we are launching a public preview of the new Meta Model API where developers can access Muse Spark 1.1. The model is also available now in "Thinking" mode in the Meta AI app and on meta.ai. Learn more: go.meta.me/ff8e2c

1/ muse spark 1.1 is an industry-competitive agentic and coding model. across many agentic evals it rivals gpt-5.5 and opus-4.8. available now through the new meta model api and in meta ai. 🧵

Introducing Unlayer Elements The open-source React content layer for developers and AI agents to create emails, web pages, and PDFs from the same codebase. Write once. Render everywhere. Build emails, landing pages, invoices, reports, documents, templates, previews, and exports with one shared component system. GitHub: github.com/unlayer/elemen… We’d love any feedback you might have. Read on for a deep dive 👇🏻

TypeScript 6, ~17.117 s TypeScript 7, ~1421 ms Absolute 🔥 @msdev

TypeScript @typescript

5 days ago

📣 The moment is here. 📣 TypeScript 7 is officially released! 7️⃣ devblogs.microsoft.com/typescript/ann…

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