AI Is Getting Good at Math. Here’s Why.
AI models are solving more mathematical problems. A pattern is emerging in their successes that could help us predict which problems they’ll solve next.
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Latent Space (swyx)
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[AINews] Black October
the Cyber onslaught continues.
Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO
Elastic GPUs, sandbox growth, and the economics of the agent cloud
You are the Team — Anekha Sokhal, Moshi
How Moshi turns market data into actionable insights, and why AI tools have to fit the trader’s workflow.
[AINews] OpenAI’s Patch the Planet program is 1 of 2 parties to discover PHP2Shell vulnerabilities in core PHP affecting 70% of the web, using GPT-5.6 Sol; coordinated response over 2 months
The Big Hardening begins
Claude Mods: Flipping the Harness Inside Out
Claude Mods is an early form of the Attention Interface. It flips the agent harness paradigm from the harness facing the machine, to the harness facing the human.
[AINews] DeepSeek DeepInfer: Open Source SOTA Inference running 155T toks/day/cluster making $22m/day at ~80% margin for a 81 day payback
An open source “bomb” drops from China
AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess
Paying for outcomes, building with agents, and the last mile of enterprise AI adoption
The Programmable Data Center — Evan Conrad, SF Compute
From GPU trading to physical settlement, independent markets, and programmable compute
[AINews] not much happened today
Congrats to DeepSeek V4.1 Flash 1017, MiniMax M3.1 Flash, and Mercury 3 (details below) but they’re not going to be in super wide use just yet.
[AINews] High Taste Testers Ep. 1
a quiet day lets us pilot a new show
[AINews] Agents disprove Polysemanticity; greatly improve Interpretability & Alignment
Nick Cammarata out of nowhere with some major claims!
[AINews] Modal’s $1B ARR, $16B Series D makes it NYC’s newest AI Infra Decacorn, 3x usage and 3x valuation in 5 months, 15x in 1 yr
Sandboxes are all you need.
Crossing the Threshold: How OpenAI and Anthropic Approach Autonomy and Safety in Financial Agents
At AI Engineer New York, frontier labs and financial firms explored how to give agents useful autonomy while keeping consequential decisions under control.
Lab-in-the-Loop at Compute Speed — Ian Quigley, Leash Bio
How Leash Bio tamed DELs, the assay that traumatizes everyone, and used the data to catch cheating models. And why that same data is perfect for AI agents learning to think like chemists.
[AINews] AI Engineer NYC: Gemini 4 Argon, Vals AI Benchmarks
Gemini 4 Argon went GA today, but we already gave it title story 2 weeks ago and most benchmarks, like CursorBench, simply independently confirm their claims.
Dyna-2: General Purpose Physical Agents with Hour-Long Autonomy — Jason Ma, Dyna Robotics
Our first robotics pod with Dyna’s Chief Scientist on their big bet on World Action Models & the Next Frontier of Physical AI
[AINews] Meta Muse Wonder & Wonder Full: MSL’s Claude 5.5-tier Frontier Model
MSL’s emergence as a frontier lab is finally complete.
How Anthropic’s Dynamic Workflows Coordinate Claude Agents (Updated with video!)
At AI Engineer New York, Anthropic drew on lessons from Unix and Linux to explain how agents can tackle bigger projects without overwhelming developers.
[Subscriber Exclusive] NYC Subscriber Meetups!
Tomorrow and Tuesday. If you see this you’re in!
In the daily digest
23 October 2026,22 October 2026,21 October 2026,20 October 2026,17 October 2026,16 October 2026,15 October 2026,14 October 2026,13 October 2026,12 October 2026,10 October 2026