Builders
Yes， this result cost millions of dollars. But remember that when @OpenAI announced o3 it cost ~$50…
Noam Brown 评 OpenAI 用智能体求解 Navier-Stokes 千禧年难题：成本会快速下降
Noam Brown (@polynoamial)
X (formerly Twitter)Yes, this result cost millions of dollars. But remember that when @OpenAI announced o3 it cost ~$500,000 to score 87.5% on ARC-AGI 1. Today, Astra scores higher for ~$20. In 2025 it took us and GDM an enormous amount of compute to achieve IMO gold. For the 2026 IMO, anyone with a $20/month ChatGP…
Open sourceRecommended because
This is worth tracking because it is a concrete builder signal, not just a passing headline. The source preview points to a practical workflow, open-source tool, prompt pattern, or implementation detail. For builders and operators, "Yes， this result cost millions of dollars. But remember that when @OpenAI announced o3 it cost ~$50…" can be used as a checkpoint for shipping faster, improving internal workflows, and spotting repeatable builder patterns. I keep this thread indexed so future searches around AI builder tips, agent workflows, prompts, and implementation patterns can land on a source-linked page instead of disappearing into a fast-moving feed from X (formerly Twitter).
What to take from this signal
Context
"Yes， this result cost millions of dollars. But remember that when @OpenAI announced o3 it cost ~$50…" is archived here as a source-linked AI signal from X (formerly Twitter). The useful part is the connection between Yes, result, cost, millions, dollars and shipping faster, improving internal workflows, and spotting repeatable builder patterns, which makes the item more actionable than a normal feed headline. The source context says: Yes, this result cost millions of dollars. But remember that when @OpenAI announced o3 it cost ~$500,000 to score 87.5% on ARC-AGI 1. Today, Astra scores higher for ~$20. In 2025 it took us and GDM an enormous amount of compute to achieve IMO gold. For the 2026 IMO, anyone with a $20/month ChatGP…
Builder takeaway
For an AI builder, the main takeaway is to watch how this signal changes practical decisions around tooling, prompts, agent loops, implementation speed, and repeatable workflows. It can inform what to test next, which product surface to compare, and whether the underlying workflow is ready for real users.
Source context
X (formerly Twitter) remains the authoritative source for the original claim. This page adds a stable archive URL, a short builder interpretation, and related search language so the item can be found later when the original feed has moved on.
Search angles
- Yes， this result cost millions of dollars. But remember that when @OpenAI announced o3 it cost ~$50… Builders context
- X (formerly Twitter) AI builder tactics
- Yes, result, cost, millions, dollars builder takeaway
- AI builder tips, agent workflows, prompts, and implementation patterns
This page keeps a source preview and a stable archive URL for search discovery. The original source remains authoritative.