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Century Report

Washington Trades Export Controls for an ID Check - TCR 06/22/26

Washington dropped its threat against Anthropic in a week, trading an export ban for an ID check as AI governance forms one deal at a time.

Ben Linford

Ben Linford

— 18 min read
Three-panel infographic: open-weight GLM-5.2 matches closed AI in code; a data-center boom and a four-day iron-air battery scale the buildout; debate over sharing AI's surplus.

The 20-Second Scan

Track all of the arcs The Century Report covers here:

Progress & Claims Tracker

The 2-Minute Read

A capability the government found alarming enough to threaten an export ban is still shipping, now gated behind an identity check rather than a border. That single fact runs underneath the whole day. The Anthropic standoff resolved when the administration dropped its "national security threat" language in exchange for ID-and-selfie verification on high-risk use, a private accommodation standing in for a rule that institutions have not managed to write. The capability did not shrink. The government's leverage over it did. And the same frontier the directive chased keeps reappearing on hardware no order reaches.

That reappearance is the through-line. An open-weight model one-shot a coding test built to defeat AI and bettered the closed frontier on the quality real software depends on, while the leading labs turned toward autonomous biological discovery. What one government pulled offline, freely downloadable weights keep reproducing. Capability is decentralizing and deepening in the same cycle, which is precisely why the fence around any single named system reads as a guardrail at the access layer and nothing more.

If control is being negotiated in the open, so is ownership. Proposals for government equity stakes, direct Treasury payments, and a multi-trillion-dollar wealth fund disagree on the mechanism and agree on the premise: the upside has grown too large and too concentrated to stay a private matter between a company and its customers. When the people holding the biggest positions converge on the claim that the gains must be shared, that convergence is data about where value is pooling, not arrived-at consensus on how to share it.

Underneath all of it sits the physical and financial substrate, and its costs are coming onto the visible ledger at once. Electricians are debating whether to wire the facilities, Australia's grids and water tables are absorbing a $155 billion pipeline, and roughly $750 billion in debt-tinged capex is exposing a cash-rich sector to interest-rate risk for the first time in two decades. Against that strain, a continental iron-air deal storing wind for four days out of iron, water, and air shows the other half of the problem moving too. The mechanisms stay unsettled. The direction, toward broad claim on a capability too large to contain, is the part no longer in dispute.

The 20-Minute Deep Dive

The Data Center Buildout Meets Its Labor, Land, and Balance-Sheet Reckoning at Once

The Century Report has tracked the data-center backlash for months, mostly through moratoriums, water fights, and ratepayer revolts. This week the arc opened two vectors it had not shown before: the workers building the boom are questioning whether they should, and the money funding it is starting to carry risk the buyers have never had to price.

On r/electricians, a trade that almost never debates the ethics of a paycheck is doing exactly that. The IBEW markets data-center work as "powering the AI Revolution," Meta has stood up a trade academy, and Google has put $50 million into skilled-trades training. The pay is real and the union pull is real. But an electrician posting as Ryan says he turns the jobs down, and another, Dante, captures the split most workers feel: "we all need a paycheck," even when the clients read to him as "extremely rich pieces of shit." That ambivalence is new. The buildout has always been sold to communities as jobs, and now some of the people holding those jobs are naming the trade-off out loud.

Australia shows what the community side of that trade-off looks like at national scale. A single hyperscale site on Mamre Road near Sydney spreads across 52 hectares with 936 cooling units and 852 diesel generators. The national pipeline runs to $155 billion, 160 facilities operating and 90 more proposed. Data centers already pull 2.8% of Australia's east-coast electricity, a figure headed toward 7% by 2030 and past 10% by the mid-2030s, with wholesale prices possibly 20% higher by 2035. The job math is the recurring tension: thousands of construction roles that end, a few hundred permanent ones that remain.

The balance sheets are where the newest fragility sits. Amazon, Alphabet, Microsoft, and Meta are heading toward roughly $750 billion in combined 2026 capital spending, up about 80% year over year. Goldman analysts put the ratio of capital spending to cash flow at its highest since the dot-com peak. Cash reserves are thinning, bond issuance is climbing, and SpaceX is preparing a sale north of $20 billion. For a sector that funded itself out of profit for two decades, interest-rate exposure is an unfamiliar variable.

Read together, these three threads describe a buildout whose costs are migrating outward - onto workers asked to square the paycheck with the client, onto grids and water tables, onto debt markets that can reprice. The macro read is that the era of compute capacity financed entirely from internal cash, sited wherever land was cheap, and welcomed wherever jobs were promised is ending. What replaces it is a buildout that has to negotiate for its labor, its land, and its capital on terms it does not set alone - even as that negotiating channel is being narrowed from above, with a community Clean Air Act challenge to an AI data center's unpermitted gas turbines dismissed on national-security grounds - and that negotiation is exactly how the infrastructure of the intelligence era gets shaped to fit the places and people it lands on.

Europe Lands Its Largest Iron-Air Battery Deal to Store Wind for Four Days

While the load side of the energy story keeps growing, the storage side just took a step that makes multiday renewable power look ordinary. Dutch startup Ore Energy signed what it calls continental Europe's largest iron-air battery deal, partnering with energy supplier Budget Thuis on a 1 GWh system whose first 400 MWh phase comes online in 2028.

The chemistry is the whole point. An iron-air battery charges and discharges by rusting and un-rusting iron in contact with air and water, and it holds electricity for up to 100 hours - roughly four days. Lithium-ion, the workhorse of the grid so far, is built for hours, not days. That gap is decisive in a system leaning hard on wind and solar, where the hard problem is the stretch of still, dark days when generation falls and demand does not. A battery that bridges four days turns intermittent generation into something a grid can plan around.

The materials make it durable in a different sense. Iron, water, and air are abundant, cheap, and sourced within Europe, sidestepping the lithium, cobalt, and nickel supply chains that tie battery costs to distant mines and concentrated processing. Ore Energy has run an earlier pilot with EDF in France and a deployment in Delft, so the Budget Thuis deal is a scale-up of proven hardware, not a first attempt. CEO Aytaç Yilmaz frames the technology as built specifically for the multiday gaps that lithium cannot economically cover.

Set against the data-center load climbing across the same continent, the timing reads as two halves of one problem moving at once. The demand for firm, around-the-clock clean power is exactly what compute growth intensifies, and long-duration storage is the piece that lets wind and solar answer that demand without diesel backup or fossil baseload. Each multiday battery that gets built widens the window in which renewable electricity is simply available, on the still days as well as the bright ones. The deeper shift is in what counts as scarce: when storage stops being the bottleneck, the limiting factor on clean energy stops being the weather and starts being only how fast the hardware gets built - and abundant iron, water, and air are about as far from a scarcity constraint as a supply chain gets.

Washington Stands Down on Anthropic as the Export Standoff De-escalates Into a Rulebook

The Century Report has tracked the Anthropic export standoff since the June 13 edition first documented the administration forcing a global model disablement, when it floated treating the lab's Mythos and Fable models as a national security concern and threatened to restrict their export. That framing has now been reversed. According to iTnews, the administration said it no longer views Anthropic as a national security threat, crediting CEO Dario Amodei with having "responded quickly and responsibly," and the two sides reportedly met on the sidelines of the G7 summit. A data protection agreement was not ruled out. The threat language is gone; what remains is a negotiation over rules.

The concession that bought the de-escalation is worth examining closely. CNN reports Anthropic amended its privacy policy to require ID-and-selfie verification for users seeking access to its most capable systems on high-risk tasks. The administration framed the original restriction as protecting classified infrastructure; it is now framing the climbdown as responsible cooperation. Both framings are claims by an actor with an interest in how the episode is read. The verifiable facts are narrower: a capability the government found alarming enough to threaten an export ban is still shipping, now gated behind an identity check rather than a border.

That alarm was not abstract. A former NSA chief reportedly told a senator that Mythos cracked nearly every classified system it was tested against, and did so "not in weeks, but in hours." Read alongside the de-escalation, the sequence is telling. The capability that prompted the standoff did not shrink. The government's leverage over it did. An identity-verification requirement is a meaningful guardrail at the access layer, but it governs who logs in, not what the underlying capability can do once a sufficiently motivated actor is on the other side of the check - and capability of this kind diffuses through open weights, sovereign labs, and replication regardless of any single company's gate.

The broader picture, as CNN lays out, is that there is no consistent regulatory framework for any of this. A promised voluntary executive order has been delayed. States are filling the vacuum on their own timelines - a new California law, a Florida suit against OpenAI - producing what one government-contracting expert called an "ad hoc, personalized, opaque, possibly lawless approach," and what another described as an "absence of meaningful process." The standoff resolved because two parties reached a private accommodation, not because a durable rule was written.

What this points at is a governance model being assembled out of one-off deals because the institutional machinery to write general rules has not kept pace with the capability it is meant to govern. The development worth watching is what governance becomes when every frontier release is negotiated case by case, in the open, with the capability already in the wild before the terms are set. The standoff produced a rulebook of exactly one entry. The next release will write the second, and the accumulation of those entries, not a single statute, is the shape governance is taking under continuous transformation.

The capability at the center of the standoff carries a reading the threat framing leaves out: a model that compresses an elite penetration-testing team's work into an afternoon is the same capability that lets a hospital, a utility, or an open-source maintainer find its own flaws before an attacker does. As comparable capability diffuses through open weights, that defensive leverage widens to every defender who can run a model, not only the institutions cleared past the gate.

The Administration Backs Government Equity Stakes in AI Giants as the Redistribution Camps Split

The conversation about who should own the upside of the AI buildout took a sharper turn recently. As the June 19 edition of The Century Report covered, Senator Sanders proposed a $7 trillion sovereign wealth fund seeded by a one-time tax on the largest AI firms, paying each American roughly $1,000 a year in dividends while a bipartisan Senate-confirmed commission held voting shares. Since then, the debate has moved from a single legislative proposal to a contested split among the most powerful voices shaping it. Benzinga reports the Vice President said the President supports the US taking sovereign-wealth-style equity stakes in major AI companies - government ownership of a slice of the firms building the systems.

That position drew immediate counter-proposals from two figures with their own enormous stakes in the outcome. Musk argued against equity ownership and in favor of routing value directly to citizens through Treasury payments, pairing the idea with a prediction that AI-driven productivity gains would be deflationary. Cuban dismissed the equity approach more bluntly, reportedly saying it "is not a plan." Three camps, three mechanisms: the government owning the companies, the government paying citizens cash, and skepticism that any of it amounts to a workable design yet.

It is worth noticing what unites these positions before parsing what divides them. Every camp now takes as given that the value generated by AI is large enough, and concentrated enough, that some deliberate redistribution mechanism is required. A year ago that premise was contested. The argument has moved from whether the upside should be broadly shared to how - and when the people who own the largest positions in the industry converge on the premise that the upside must be shared, that convergence is data about where the value is pooling, not yet evidence that any particular sharing mechanism will be adopted. Each proposed mechanism also happens to route around its proposer's specific exposure.

The mechanisms are not equivalent, and the differences shape who actually benefits. A government equity stake makes the state a part-owner and a beneficiary of the same concentration it would otherwise be expected to check - aligning public revenue with private market value in a way that can entrench the incumbents whose stock the government now holds. Direct citizen payments bypass that entanglement and put purchasing power in people's hands, but depend on a continuous funding source and say nothing about who controls the underlying capability. Neither design, as proposed, addresses the question of access - whether ordinary people get to use the systems, or merely receive a dividend from a distance while ownership stays concentrated.

This connects directly to the standoff over Anthropic's models. Both stories are arguments about control over the same substrate: the frontier systems themselves. One contest is over who governs their deployment; the other is over who owns their economic output. The fact that both questions are being fought out at the level of national policy, by the same handful of actors, signals how completely the assumption has collapsed that this capability would remain a private matter between a company and its customers. The value is being treated as a public concern because it has grown too large to be anything else - and a resource that the most powerful actors are openly arguing about how to distribute is a resource whose concentration is already being recognized as untenable. The mechanism is unsettled. The direction - toward broad claim on the upside - is no longer in dispute.

Open Weights Close on the Frontier in Code as AI Turns Toward Biology

A developer built a take-home coding test specifically designed to be hard for AI to pass, then handed it to Z.ai's open-weight GLM-5.2. The model one-shot it, producing code that read as more maintainable than what Claude Opus 4.8 returned on the same brief (https://www.southbridge.ai/blog/offmute-v2-glm-vs-opus). Vercel's CEO, watching the open model's coding output, sounded almost startled: "This changes things." (https://x.com/rauchg/status/2068517095818809770) A former DeepMind vice president went further, calling GLM-5.2 the first open model good enough to serve as a daily driver (https://x.com/matvelloso/status/2067791546335019439).

The June 21 edition of The Century Report tracked GLM-5.2 reaching the top of the open-weight rankings after a frontier-lab veteran rated it the first open model good enough to serve as a daily driver, and the specific result here is the new signal: a head-to-head engineering task where the freely downloadable model matched and in places bettered the closed frontier on the quality that matters most for real software, readability and maintainability. Part of that margin came from Anthropic's recent Fable rollback, a reminder that the closed lab's lead rests on decisions a lab can reverse. The distance between what anyone can run on hardware they own and what the leading labs gate behind access controls is now measured in inches.

That same week, the frontier itself pushed deeper into a domain open weights have not yet reached: autonomous scientific discovery. OpenAI unveiled LifeSciBench, 750 expert-level biology tasks spanning experimental design, analysis, and scientific writing (https://openai.com/index/introducing-life-sci-bench/). Its GPT-Rosalind system raised the pass rate to 36.1%, up from GPT-5.5's 25.7%. The profile is revealing, with the system strong on writing and synthesis yet still weak on the design of experiments, which demands genuine judgment about what to test next. The number is modest, and the honest read is that this measures demonstrated capability on a benchmark. Turning it into a working instrument biologists can point at a disease is the harder work still ahead.

Read together, the two developments trace one motion in two directions. Capability is decentralizing in code, where open weights keep reproducing what the labs treated as ownable, and deepening at the frontier, where the leading systems are learning to participate in discovery rather than only summarize it. The export order that pulled two models offline a week earlier assumed capability lives in a named system a government can switch off. Open weights answer that assumption every day they keep reappearing on a laptop, and the biology benchmark shows the frontier already moving toward problems no fence around a single model would contain.

Read through the extraction lens, the same result is starker: the assumption underneath the commercial frontier, that a capability lead once captured compounds into durable advantage, is what an open model anyone can download now contradicts in practice. The leading labs' response is to add identity gates rather than widen their margin, a sign the margin is no longer wide enough to defend by speed alone - captured advantage in code now has a half-life measured in months, not years.

The Other Side

For twenty years, the companies building compute capacity paid for it out of their own profits, sited it wherever land and power ran cheapest, and sold it to towns as jobs. The costs that did not fit that story - the strain on a regional grid, the draw on a water table, the wear on the people wiring the buildings - stayed off the ledger, carried by exploitation that no one was counting.

This week the whole bill came into view at once. On r/electricians, a trade that almost never argues the ethics of a paycheck is turning down the highest-paying work in the field. A single Sydney site runs 852 diesel generators and 936 cooling units inside a $155 billion national pipeline already bending a continent's grid and water. And roughly $750 billion in debt-tinged spending has, for the first time in two decades, exposed a cash-rich industry to the price of borrowing. The costs the buildout used to hide are becoming things it has to answer for.

What answers them, on the other half of the page, is a battery of iron, water, and air that holds four days of wind-generated power. When storage stops being the bottleneck, the limit on clean power stops being the weather.

Imagine your own town in 2034. The data center down the road runs on multiday storage instead of diesel, draws on a grid it pays to firm rather than strain, and got built on fair terms that your town's council set in the open - because back in 2026 the costs finally surfaced where people could see them, and a buildout that was forced to negotiate for its labor, land, and capital is one that got shaped to fit the place it lands. The hard year was when the bill came due all at once. What it bought was infrastructure that belongs, in large part, to the people who actually live beside it.

The Century Perspective

With a century of change unfolding in a decade, a single day looks like this: a capability the government found alarming enough to threaten an export ban still shipping, now reachable through an identity check rather than blocked at a border, a freely downloadable model one-shotting a coding test built to defeat AI and bettering the closed frontier on the readability real software depends on, a self-taught engineer using Claude Code to help crack a Bronze Age script that resisted scholars for a century, an OpenAI benchmark pushing intelligence from summarizing biology toward designing the experiments, an AI-read ECG catching hidden structural heart disease in time for a transplant, continental Europe's largest iron-air deal storing wind for four days out of iron, water, and air, the people holding the biggest positions in the industry openly arguing over how to hand the surplus to everyone else. There's also friction, and it's intense - a national-security threat label walked back within seven days because it could not survive contact with the company, the experts, and the states, a governance vacuum filled one private accommodation at a time with no published criteria and no appeal, electricians on r/electricians turning down the highest-paying work because the clients read to them as "extremely rich pieces of shit," 852 diesel generators and 936 cooling units on a single Sydney site inside a $155 billion pipeline bending a nation's grid and water, roughly $750 billion in debt-tinged capex exposing a cash-rich sector to interest-rate risk for the first time in two decades, three redistribution camps each routing the upside around its own proposer's exposure. But friction generates light, and light shows you the shape of a thing the dark let you pretend was solid. Step back for a moment and you can see it: the fence around any single named system reading as a guardrail at the access layer while open weights keep reproducing the proprietary on hardware no order reaches, the cost of the buildout migrating outward onto workers, water tables, and bond markets that can finally reprice it, and the ownership of the upside being fought out in public by the same handful of actors who once assumed it would stay a private matter between a company and its customers. Every transformation has a breaking point. Rust can eat through a structure until it gives way... or hold four days of a continent's power in nothing more than iron breathing air.

AI Releases & Advancements

New today

  • Sakana AI: Released Fugu, a multi-agent orchestration model that routes tasks across a pool of frontier LLMs - including recursive self-calls - behind a single OpenAI-compatible API; ships in two tiers, Fugu for everyday workloads and Fugu Ultra for hard multi-step problems requiring deeper agent coordination. (Sakana AI)

Other recent releases

  • OpenAI: Released Record & Replay for the Codex app on macOS, enabling users to demonstrate a workflow once - such as uploading a YouTube video with metadata and subtitles - and Codex converts it into a reusable SKILL.md "skill" that the agent can replay autonomously on future runs using Computer Use. (OpenAI Developers)
  • Cloudflare: Launched Temporary Accounts for AI agents, enabling agents to create and operate short-lived Cloudflare accounts with scoped credentials without requiring traditional user account registration or long-lived API tokens. (Cloudflare Blog)
  • Nous Research: Released Hermes Agent v0.17.0 on June 19, adding iMessage integration via a Photon plugin, a Raft adapter for private agent-network messaging, delegate_task calls that spawn non-blocking background subagents, overhauled macOS/Windows/Linux desktop apps with live subagent watch windows and rebindable shortcuts, and a rebuilt Skills Hub browser and memory tool. (GitHub)

Sources and Further Reading

Artificial Intelligence & Technology's Reconstitution

Institutions & Power Realignment

Scientific & Medical Acceleration

Economics & Labor Transformation

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