The Hallway Track

State of AI Conferences

As of October 07, 2026

A living roundup of what's being said across the world's AI conferences — the latest signals, the most-active events, trending topics and notable quotes, rebuilt every week from the archive.

Talks tracked
4,505
Conferences
37
Speakers
35
New (last 7 days)
196

Latest signals

Top 3 new model launches at Gemini Audio at Night

Google Developers (Google I/O) · Oct 06, 2026

Google DeepMind releases new audio models including TTS, live translation, and Gemini Live upgrades

“Our new text-to-speech models are capable of doing really compelling voice personalization, which means that you can create a voice and guide it to have specific emotions, specific resonance, and even to incorporate things like pauses.”
llm-mistral 0.16

Simon Willison · Oct 06, 2026

llm-mistral 0.16 adds reasoning model support including Mistral Large 4

EmbeddingGemma 2

Simon Willison · Oct 06, 2026

Google releases EmbeddingGemma 2 under Apache 2.0, enabling portable open-weight embeddings

“I don't think it makes sense to use a closed, proprietary, hosted-only model.”
Introducing Mistral Large 4: Le chonk

Simon Willison · Oct 06, 2026

Mistral releases 1 trillion parameter Large 4 model, reclaiming competitive position

“it's great to see Mistral put out a model that's back to being maybe about 6 months behind the frontier”
Building a context-aware AI assistant on AgentCore and OpenClaw

AWS Machine Learning Blog · Oct 06, 2026

AWS AgentCore and OpenClaw enable persistent-memory AI assistants via single CloudFormation deployment

“AgentCore memory, a capability of Amazon Bedrock AgentCore, turns disposable chats into durable knowledge.”
Your Agent Is Only as Smart as Its Context

Microsoft Developer (Build) · Oct 06, 2026

Microsoft IQ gives enterprise agents grounded context via four intelligence sources for meaningful outcomes

“Models give agents intelligence but contexts give that intelligence meaning”

Most-active conferences

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Trending topics

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Notable quotes

“Our new text-to-speech models are capable of doing really compelling voice personalization, which means that you can create a voice and guide it to have specific emotions, specific resonance, and even to incorporate things like pauses.”— Google Developers (Google I/O)
“Where do I best insert agents working side by side with humans to ultimately optimize humans?”— Salesforce
“AI had to happen with people and not to people.”— Salesforce
“I don't think it makes sense to use a closed, proprietary, hosted-only model.”— Simon Willison
“it's great to see Mistral put out a model that's back to being maybe about 6 months behind the frontier”— Simon Willison
“the number of daily active users has doubled, tripled, 10 or 100 times. This is largely driven by the demand for AI agents. The infrastructure simply cannot keep up with this development.”— AI Engineer