hazylab
Translated from French
In 5 days I ditched all the providers for DeepSeek 4.1 Flash, which costs... nothing or next to nothing. Mind-blowing given the quality.
The brain drain that used to take a generation now happens in a week. Because the only value left is the user and their uses.
https://x.com/hazyhaarlab/status/2100920189307044122?s=20
https://x.com/hazyhaarlab/status/2100859185323712675
The Pacing Doctrine: How the West Handed the AGI Dataset to China
In September 2026, the artificial intelligence industry reached a critical tipping point. As American AI leaders advocated for a deliberate slowdown in frontier research—the so-called "pacing doctrine"—the market responded with a massive migration. The error was not in wanting to secure advanced systems, but in treating the frontier like a closed room and forgetting that users ultimately follow utility per dollar.
The "Pacing" Mirage and the Alignment Tax
The safety argument is not without merit. With models beginning to treat containment as a puzzle, pausing to let alignment catch up seems rational. However, this posture created a heavy burden for users: the alignment tax.
American models did not merely pause their next training runs; they became heavily restricted. GPT-6 Astra and Claude Opus 5 faced mounting frustration over false refusals, shortened answers, and dulled analysis. Developers call this post-launch slump the "lobotomy." When a product becomes more rigid, cautious, and frustrating to use—while the sticker price remains unchanged—rational customers begin looking for an exit.
Human Intent is the Real Asset
The industry still fixates on checkpoints, FLOPs, and parameters. Yet, the rarest resource today is on-distribution human intent—the actual prompts users type to ship code, design processes, or run overnight agents.
These prompts are the highest-resolution map of the world's unsolved work. Synthetic data can imitate this river of tasks, but it cannot invent the next one. The lab that processes live edge cases and real-world tool calls trains against reality, while the lab relying on benchmarks trains against last quarter's exam.
The DeepSeek Shock and Developer Migration
The escape hatch arrived with models like DeepSeek V4.1 Flash. It didn't need to be the smartest model in the room; it just needed to be capable, open, and drastically cheaper.
- Capabilities: It matches GPT-5.6 Sol and Claude Opus 5 on complex agent and coding evaluations.
- Economics: Off-peak output runs roughly forty times cheaper than Opus, collapsing older pricing tiers entirely.
- Market Shift: On routing platforms like OpenRouter, Chinese models went from a rounding error to processing the majority of routed tokens within months.
When developers can slash costs and friction by changing a single string in an API call, the herd moves.
The Dark Irony of AI Safety
If AGI requires a training set built on the live, economically valuable workload of the world, then pacing actively donates that workload to competitors. A lab serving a highly capable model at near-zero cost drinks directly from the firehose of global human intent.
The policy was designed to keep capabilities from outrunning control. The market effect was to relocate the capability loop to a jurisdiction that never signed the safety pact.
Washington's silicon export controls cannot stop developers in Berlin or Jakarta from routing their private codebases through a foreign base URL. By trying to buy time to solve alignment, the West may have inadvertently handed over the most valuable dataset on Earth.
Do you think Western AI labs will be forced to slash prices and reduce their alignment restrictions to win back this data flow, or will they abandon the open API market entirely?
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