Introducing Interface, the primary hardware for the agent era. Interface lets you control all your agents from your hand. $99 for early adopters. Ships in January.

Introducing Graphical. It's a simple, powerful, and fun tool to design visual languages, style components, and work with coding agents to create interfaces that look memorable and feel unique. I hope you'll check it out at graphicalui.com!

Please welcome GPT-6 Sol and GPT-6 Luna to the GPT-6 universe. GPT-6 Sol and Luna build on the advances behind GPT-6 Astra, bringing much of its strengths into faster and more affordable models to support work at scale. We’ve also made caching and inference more efficient, and we’re passing the savings directly to you: 50% lower API prices for Sol and Luna compared with GPT‑5.6 promotional pricing.

Check your emails! We just let off a huge batch of people from the Jev waitlist. Getting as many people off waitlist today as possible.

We have a huge news to share today! Today we are unveiling the first truly accessible RL robot - welcome Microduck A 25 cm tiny open-source biped with 15 actuators and packed with sensors (camera, speaker, LiDAR, NFC, bluetooth, wifi, etc) that you train yourself with reinforcement learning. It's also playable out of the box with more than half a dozen fun and playful pre-trained policies to have it walk, sit, crouch, roller-skate, pick up objects with its articulated beak, and recover on its own. And all for less than $400. See all the details, play with the simulator and order it at: pollen-robotics.com/microduc… (video with sound on 🔊)

introducing fanout, the everything learning app for engineers, curated by people building at the frontier. your career has no fixed curriculum. neither does fanout. become an ai researcher, a systems engineer, or find your own niche, fanout is a living archive of everything worth learning to become a better engineer.

Introducing syfm.md A 1,127,500+ Character .MD File that's specifically trained to skip every vibe coded AI Slop design principle. - no box shadows - no emojis - no '🟢 LIVE ' badges - 0 blue/purple gradients & religiously ignores 350 most common AI words (delve, vibe, seamless ...) It's the result of 11 months of 8 hrs/day Twitter doomscrolling and constant additions to the codebase of our vibecoding ui. Wholeheartedly hoping this finds the most design-needy indie hackers.

Agents shouldn't see your secrets. Today, most deployments hand the agent a real API key and hope for the best. That's why we're launching Infisical Agent Proxy. You give an agent a fake API key. The agent uses that key and the proxy swaps it for the real one at the network boundary before forwarding it outbound to its destination. An agent can't leak a secret it never sees. Build and deploy AI agents securely with Infisical Agent Proxy.

Super interesting new work from NVIDIA. (bookmark it) They suggest building agents as Python objects. Very cool idea and I think it could a lot with agent reliability. More below: Agent development today spreads across prompt templates, tool schemas, callback code, and workflow graphs. NOOA replaces all four with one abstraction. An agent is a Python object. Its methods are the actions the model can take, its fields hold state, its docstrings are the prompts, and its type annotations act as contracts. A method whose body is "..." gets completed at runtime by a validated LLM loop. A method with a normal body stays deterministic Python. That single convention puts the boundary between probabilistic and deterministic behavior right in the source. Agent behavior becomes testable, traceable, and refactorable with the same tools you already use on the rest of your codebase. NVIDIA reports six model-facing ideas combined on one surface, including pass-by-reference over live objects and model-callable harness APIs for context and events, evaluated on SWE-bench Verified, Terminal-Bench 2.0, and ARC-AGI-3. Paper: arxiv.org/abs/2607.20709 Learn to build effective AI agents in our academy: academy.dair.ai/

something's in the air...