Artificial Confidence: Ask permission, not forgiveness
Anthropic shipped Fable 5 to the public; we know what happened next. OpenAI cleared GPT-5.6 with Washington before launch and got to ship. This bodes ill.
I’m at the AIE World’s Fair this week in San Francisco. Hit reply and say hi if you’re around; I’m looking to meet some of you folks.
Anthropic put Fable 5 in front of the public and then promptly got pantsed by the White House. OpenAI previewed GPT-5.6 last week as a release it would stage “in phases per the federal government’s request,” having broken out the requisite crayons, puppets, and juice boxes to walk Washington through the model.
It would appear that the question of “which frontier lab is winning” will be settled less by technology than by whom can speak more effectively to political power.
And for downtime enthusiasts, Microsoft Foundry now hosts Claude models.
What Actually Changed (Adjusted For Spin)
Mythos 5 came back for a select few, Fable 5 still MIA
On June 26, Commerce Secretary Howard Lutnick cleared Anthropic to redeploy Mythos 5 to a defined cohort: somewhere around a hundred critical-infrastructure organizations on an approved annex, their foreign-national employees, and a slice of civilian government. Everyone else still needs an export license, which... is a sentence that should probably change how you read a vendor contract. Fable 5, the general-purpose model that we mere mortals were using, stays dark going on three weeks, with Pentagon and NSA sign-off still “pending” like it’s a CloudFormation update.
The price of the partial thaw, per the reporting on Lutnick’s letter, was Anthropic committing to work with the government on “protocols and standards and releases,” plus a clause letting the Secretary revoke the access list whenever he likes. That is the regulatory equivalent of getting your car out of impound on the condition that you subscribe to the impound lot’s newsletter.
For the record, I pay Anthropic every month and I am locked out of Fable along with the rest of the civilian population. The fallback is Opus 4.8, which is fine the way a rental car is fine, right up until you reach for a button that isn’t there. I did seven hours of road tripping last week in a rental car; forgive me if my analogies are as crappy as that Chrysler minivan.
GPT-5.6 shipped, with the government holding the leash
OpenAI previewed GPT-5.6 the same afternoon: three tiers (Sol at $5/$30 per million tokens, Terra at $2.50/$15, Luna at $1/$6), real model IDs, a system card rating it high-capability in cybersecurity, and a new “ultra” mode that throws subagents (a fancy approximation for “money”) at hard problems. The catch is, to no great surprise, the access terms. Available via API and Codex only, limited to “trusted partners,” with the government signing off on customers case by case during the preview. OpenAI’s own post says it doesn’t believe this should become the long-term default, a notably principled stance from the company that’s currently demonstrating how well the default works when you’re the one who pre-cleared. So... points to them for ideological consistency.
The gift of gab becomes the gift of lab
Anthropic’s sin, in the eyes of the people who can turn its models off, was launching to the public and only discovering where the line was afterward. OpenAI’s move was to find the line first, in private, and ship inside it. This reads as a memo to every frontier lab: going to market first is now the liability, and pre-clearing with the US government is this cycle’s moat.
Which is why both companies have abruptly discovered enthusiasm for codifying the process, with an August deadline looming on the executive order that set up voluntary model vetting. They want different things here. Anthropic wants rules because their absence cost it three weeks (so far!) and its flagship. OpenAI wants rules because it just proved it’s good at the part that happens before the rules, the relationship part, and would like that game written down while it’s ahead. Whoever’s best at the clearance dance gets to choreograph it, and right now that’s not the lab with the higher benchmark.
For those of us who who are cloud economists and not the armchair equivalent, this bolts a column onto the model-selection spreadsheet that I’ve never seen on any pricing page. “Cost-per-correct-answer” means precisely nothing the instant a Cabinet secretary can dark the model, and the vendor most likely to still be serving requests next quarter is apparently the one best at managing Washington, not the one with the tightest unit economics. The open-weight tier I went on about last week (GLM 5.2 and Kimi and Cohere’s small one) doesn’t touch frontier cyber capability—and isn’t pretending to. But a download has no approved-entity list to get cut from, and “merely very good and impossible to repossess” is aging into the responsible adult’s hedge.
The future is stupid.
One last thing
Add that horrible column. Before you commit a workload to any hosted frontier model, price the tokens, then ask who has standing to switch it off and how good your vendor is at staying on that person’s good side. The bill was apparently the easy part. Availability is now… political. Some would say it always has been.
See you next week.
— C