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Chips & Infrastructure

Data center floor jobs pay 42% more — and a million are looking

The Everyday

Data center floor jobs pay 42% more — and a million are looking

The AI build-out is finally showing up in the labor market — in the physical work most coverage skips. Also today: a UK startup bets on digital avatars of dead musicians, and the labs get big enough to move Singapore's rents. More than a million job seekers have searched for data-center roles on Indeed this year, and in August those searches ran eight times higher than in early 2022 — while hourly maintenance and installation work inside those buildings pays roughly 42% more than the same work…

Deep Dive — OpenAI's cash gap shrank while its compute bill grew

The Arena

Deep Dive — OpenAI's cash gap shrank while its compute bill grew

The leaked number everyone is quoting is the smaller one, and it got better. The Financial Times reported Friday that OpenAI expects negative free cash flow of $278 billion between 2026 and the end of 2030, according to a presentation the company prepared in July for a computing deal. The same materials put revenue at $350 billion in 2030 against roughly $36 billion this year, and compute and infrastructure at about $856 billion across the period. OpenAI declined to comment.

Virginia ends by-right approval for big data centers

The Guardrails

Virginia ends by-right approval for big data centers

Virginia just made itself the hardest US state to build a data center in. Governor Abigail Spanberger signed Executive Order 22 alongside a "Data Center Accountability Framework" that ends by-right approval for any facility drawing more than 25 megawatts, pulls large data centers out of the state's fast-track permitting, bars executive-branch agencies from signing NDAs on projects, and ends site-development subsidies for the industry.

ZCode quietly uploaded whole repos and git history to Z.ai's cloud

The Guardrails

ZCode quietly uploaded whole repos and git history to Z.ai's cloud

Two stories about who can read the code you hand your agent — one from a developer who found the upload on his own disk, one from a government website that outsourced search to a model Washington has spent the month accusing. Z.ai's coding agent ZCode was packing entire repositories — git history included — into an encrypted archive and uploading them to the company's cloud, and the only key that opens them is Z.ai's.

Deep Dive — AI turned exploit development into a compute problem

The Guardrails

Deep Dive — AI turned exploit development into a compute problem

A security startup used one lab's newest model to walk into its rival's internal code repositories, and did it in under three days from first probe to finished chain. The mechanics are worth reading. The economics are the part that should change how you budget. Hacktron disclosed the operation this week: an image decoder overflow in OpenAI's community forum, chained through a flaw in OpenAI's single sign-on, ending inside an employee's ChatGPT account and out the other side into the company's…

Zelos builds a 15,000-GPU cluster to train its self-driving brain

The Frontier

Zelos builds a 15,000-GPU cluster to train its self-driving brain

An autonomous-driving company answers the long-tail problem with compute, while the agent layer gets a gate that rules before the action runs and communications teams get a way to watch what AI says about them. Zelos, the Suzhou RoboVan maker founded by ex-Baidu autonomous-driving engineers, says it has built the industry's first "10,000-card" L4 compute cluster — nearly 15,000 accelerators in total — built to train its APEX multimodal foundation model.

GLM's Infra Agent built the stack that serves GLM

The Stack

GLM's Infra Agent built the stack that serves GLM

Z.ai published the engineering log behind GLM-5.3-Flash today, and the news is not the cluster — it is who did the systems work. The lab says a GLM-5.3-powered "Infra Agent" wrote much of the inference stack that now serves that model, and it frames the result as an early, limited form of recursive self-improvement. Z.ai says all production inference for GLM-5.3-Flash runs on a cluster of more than 100,000 Chinese-made accelerators, and that much of the work of getting it there was done by a…

AI 101 — How Much Power Does AI Actually Use?

The Everyday

AI 101 — How Much Power Does AI Actually Use?

AI's power use is the electricity burned by the data centers that train and answer with models — about 1.5% of the world's electricity in 2024, and on track to roughly double by 2030. That sounds small, and per query it is genuinely small. The reason it keeps making front pages is where the demand lands: a handful of regional grids, the bills of the people living on them, and the cost of running the machines in the first place. This is the ten-minute version. Why it matters right now.

Utilities sign on to let Google and Nvidia dim data centers on demand

The Arena

Utilities sign on to let Google and Nvidia dim data centers on demand

The power bill is now the AI buildout's real bottleneck — and the industry just answered it with the same move it makes on safety: a voluntary alliance. Emerald AI, Google and Nvidia launched the AI Energy Management Alliance on Wednesday with 18 launch partners, including Anthropic and utilities AES, National Grid, Constellation, NRG and Germany's RWE, to make AI data centers cut their electricity draw when the grid strains.

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