The Hallway Track

Latest signals

Every signal tracked from the world's AI conferences — 4,665 talks, quotes & announcements, newest first.

New ways to build for visionOS 27

Apple Developer (WWDC) · Jul 22, 2026

Apple's Reality Composer Pro 3 uses AI to generate 3D spatial scenes from natural language prompts

“Now just describe what you want and AI brings it to life.”
Are AI labs pelicanmaxxing?

Simon Willison · Jul 22, 2026

Systematic study finds no evidence AI labs train models to draw pelicans on bicycles better

“Pelicans aren't drawn any better than other animals. Bicycles aren't drawn any better than other vehicles. And no lab draws the combination better than its pelicans and bicycles already predict.”
Multiplayer AI

Y Combinator · Jul 22, 2026

YC argues AI agents need a 'multiplayer moment' like Google Docs had over Word

“Anyone on a team should be able to drop into the same live agent session to watch it work, redirect it, and hand it off the way they'd work with any other human team member.”
Your Moat Is Your Data Model — Mike Phipps, Gates Foundation

AI Engineer · Jul 22, 2026

Gates Foundation's AI moat is its internal data model, not the AI models themselves

“our moat here was our understanding of our internal processes the tacet knowledge that you need to to run successful AI and this is true I think no matter how good AI gets”
Building a Company in Stealth | Travis Kalanick with a16z

a16z · Jul 22, 2026

Travis Kalanick returns to build a food-tech startup in stealth with a16z backing.

“The meaningful thing about Adam's food is can you make the preparation and delivery of a quality meal so efficient that it approaches the cost of going to the grocery store?”
A Cloud for Small Software

Y Combinator · Jul 22, 2026

AI agents make personal software easy to build but deployment infrastructure hasn't caught up

“Small software should be as easy to share with your colleagues as a Google Doc.”
NVIDIA & Wistron: Reindustrializing America With Advanced Manufacturing

NVIDIA GTC · Jul 22, 2026

NVIDIA is mass-producing GB300 AI supercomputers at Wistron facilities in the US like smartphones.

“The data centers of the past were called data centers. Yes, because they store prerecorded information... that retrieval based computing model is now being replaced by a generative model where we generate intelligence based on your question.”
The Future of American Defense

Y Combinator · Jul 22, 2026

US Army Secretary urges startups to build next-gen defense tech with open acquisition systems

“Warfare is at an inflection point, and the old ways of Army acquisition simply don't keep pace with modern threats.”
The Primer

Y Combinator · Jul 22, 2026

Y Combinator is actively seeking founders building AI adaptive tutors for children at consumer scale.

“AI can bring it to every child, and great tutors do more than just drill facts.”
Open-weight AI just hit 2.8 trillion parameters…

Fireship · Jul 22, 2026

Moonshot AI's Kimi K3 is a 2.8T-parameter open-weight model matching frontier closed models on coding benchmarks.

“it has OpenAI and Anthropic terrified because its Trust Me Bro benchmark performance is on par with and in some cases beating Claude Fable and GPT 5.6 Soul”
The Agent Development Lifecycle 101 by Harrison Chase

Harrison Chase · LangChain · Jul 22, 2026

LangChain CEO outlines a five-stage agent lifecycle: build, test, deploy, monitor, govern

“getting something that works, you know, initially locally or in a one-off on a Twitter demo is easy, but like shipping it reliably to 100 of users at scale, the difficulty becomes down down to like the performance and the behavior of the agent”
How are large language models trained?

Google Developers (Google I/O) · Jul 22, 2026

Google explains LLM pre-training as self-supervised next-token prediction at massive engineering scale.

“pre-training is doing this at scale. This phase of LLM training is a massive engineering challenge.”
Building Agents that Act on Your Behalf with Toolboxes in Foundry

Microsoft AI Foundry Blog · Jul 22, 2026

Microsoft Foundry Toolboxes automate user-delegated auth so agents never handle token plumbing.

“Auth lives on the toolbox, not in the agent: You pick an auth type once, when you connect a tool — the agent code stays auth-free.”
/goal: Building big features with dcode

LangChain · Jul 22, 2026

dcode's /goal command enables one-shot large feature builds via persistent acceptance-criteria-driven agent loops

“I started this goal at 3pm and I came back around 7 and during that time I didn't have to continuously restate the task or maintain a mental checklist of everything dcode was supposed to do.”