building prototypes of mockups, schemas, data models, proof of concepts, etc. is the best way to avoid spending tons of tokens before realizing you don't want the output https://t.co/BjYeXC7zfk

This post is key. The cheaper AI gets, the more opportunity there is for the entire ecosystem - especially including end-customers - to benefit.

Everything is bottlenecked by being able to successfully and cost effectively deploy AI in real workloads. Any time we can lower the cost of AI, the total usage goes up. When that happens, the value accrues to all layers of the stack, as noted.

The only modification is I think as AI gets more efficient, demand even for the frontier closed models can go up too. You often need the strongest model possible for the orchestration of a task, then you can farm out work to cheaper or more tuned models for the bulk of tokens.

This efficiency gain can ironically lead to even more frontier spend in the process because you can cost effectively deploy AI against more tasks. The thing at most risk is margins, which is fair, and in general it seems that intelligence eventually should converge with the margins of the infrastructure stack.

Anyway, super fun times to see competition play out to drive down the cost of AI.

It's both amazing and painful to watch codex use browser + computer use to open Chrome, go to my PR, tap on comment and wrangle with the macOS picker - all TO UPLOAD AN IMAGE. GitHub has no API doesn't stop anyone.

I let my codex run in VMs so they don't steal app focus. https://t.co/Dd5KzNs6E5

Are we still talking loops or did we shift to graphs yet?

ya'all made me go crazy with codexbar icon customization issues, so I built an editor.
(by me, I mean codex) https://t.co/edAthj1eZw

Why is no one awake and on the streets, Dad?

Because it’s 5:32 am buddy 😴 https://t.co/qnPaaQTt3D

This is a sick exploration of chess history.

The Replit community is ChessMaxxing https://t.co/JqBIq5WRct https://t.co/FyMdf7nIhS

Why do you think kimi hurts Google?

Many enterprises won’t consume Kimi directly. They’ll get it through Google Cloud because they still need enterprise guarantees - security, data residency, compliance and most importantly, chips.

Money out one pocket into the other.

The reason enterprises struggle to go beyond basic chat bots is the talent gap to build harnesses and evals.

1. Evals: do you clearly understand your use cases and can you replicate that in the form of offline and online evals. Do the evals express your ambition and do they push the jagged frontier of the models? Do they help you pick the right models on the quality-cost-latency curve?

2. Harness: do you have a system that manages routing, multiagency orchestration, context management, tool calling, memory that is independent of the models?

3. Talent: do you have the talent to build this all out on the frontier?
This is the scarcest piece.

🆓 Sandbox data for downloads.
Happy Friday! Time to ship more agents https://t.co/xkRucYqs8I

Ship like @shadcn https://t.co/J6YwECf2Wi

Codex browser use has finally been defeated. https://t.co/qGAIvxtjnJ

Legendary episode dropping this weekend featuring the one and only @trq212, who showed me his AI video workflows and much more.

📌 Subscribe to get it on Sunday: https://t.co/744uInp9aE https://t.co/ZTh2IpXRnM

The reason I want this btw is spending an entire day staring at screens trying to manage agents fries my brain.

Much better to be walking around outside talking to the agents "on the phone" giving them work to do and having them update me on status via voice.

Can't wait for the first lab to ship this.

Great video https://t.co/tGU8LfdzFQ

Tip for building in public:

If making content feels like extra work, show the work already happening inside your product. A tiny screen recording, the first version, or the user behavior that changed your design. The reasoning matters more than production value.

Just a few years ago, many people were uncomfortable with recording meetings

Now it’s just assumed that all business meetings are recorded (not for humans, but for agents)

Technology really changes culture

still true https://t.co/2eYqwze1Ae

alpha only gone when we all stop asking these level of questions and start discussion about on-policy autoaeo (does claude optimizing your aeo disproportionately work on claude?) vs generalizable aeo

https://t.co/GrymTTqz6O

btw if you havent set your {codex | claude | gemini | devin} automations to autoresearch how to improve your seo/aeo every week you are really truly missing out on free, should-be-commoditizing-but-weirdly-untapped alpha