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Jon Keegan

Amazon plans to invest up to $50 billion for “AI and supercomputing infrastructure” for the US government

Amazon said it will invest up to $50 billion to build out its AI computing infrastructure for the US government.

Based on the company’s AWS cloud platform, Amazon will help build up to 1.3 gigawatts of dedicated AI high-performance computing infrastructure, according to a press release announcing the plans.

The project, which will including building new data centers, is set to break ground in 2026.

Amazon AWS CEO Matt Garman said:

“We’re giving agencies expanded access to advanced AI capabilities that will enable them to accelerate critical missions from cybersecurity to drug discovery. This investment removes the technology barriers that have held government back and further positions America to lead in the AI era.”

The new computing capacity will be available to agencies through use of AWS government products AWS Top Secret, AWS Secret, and GovCloud Regions.

Amazon to invest up to $50 billion to expand AI and supercomputing infrastructure for US government agencies

Amazon to invest up to $50 billion to expand AI and supercomputing infrastructure for US government agencies

The project, which will including building new data centers, is set to break ground in 2026.

Amazon AWS CEO Matt Garman said:

“We’re giving agencies expanded access to advanced AI capabilities that will enable them to accelerate critical missions from cybersecurity to drug discovery. This investment removes the technology barriers that have held government back and further positions America to lead in the AI era.”

The new computing capacity will be available to agencies through use of AWS government products AWS Top Secret, AWS Secret, and GovCloud Regions.

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Jon Keegan

Apple cuts sales jobs in rare layoff

Apple is cutting “dozens” of roles from its sales team in a rare layoff, according to a report from Bloomberg. The reductions are aimed at streamlining the company’s sales to businesses, schools, and government accounts, according to the report.

Apple rarely turns to layoffs, compared to its tech peers, making the reduction noteworthy.

An Apple spokesperson told Bloomberg: “To connect with even more customers, we are making some changes in our sales team that affect a small number of roles,” and that the employees will be able to apply for new roles in the company.

Apple Cuts Jobs Across Its Sales Organization in Rare Layoff

Apple Cuts Jobs Across Its Sales Organization in Rare Layoff

An Apple spokesperson told Bloomberg: “To connect with even more customers, we are making some changes in our sales team that affect a small number of roles,” and that the employees will be able to apply for new roles in the company.

tech
Jon Keegan

Anthropic releases Claude Opus 4.5, as AI war heats up

The past few weeks have seen new, impressive AI models debut from OpenAI and Google. Today it’s Anthropic’s turn to flex, as it releases Claude Opus 4.5, the latest iteration of its flagship AI model.

Anthropic’s Claude model is widely considered to be among the best at coding, and this model helps the company stay at the head of the pack.

Benchmarks released by Anthropic show Opus 4.5 besting both GPT 5.1 and Gemini 3 with an all-time high score of 80%, and the widely used “SWE-bench” coding benchmark. It also posted high scores for benchmarks measuring computer use, and the notoriously challenging ARC-AGI-2 visual problem-solving test, though apparently it can’t run a vending machine as profitably as Google’s Gemini 3 can.

AI coding is one of the few bright spots as companies seek profitable enterprise applications for AI that actually improve productivity. Anthropic’s success with enterprise customers has helped push its valuation to nearly $350 billion.

Introducing Claude Opus 4.5

Introducing Claude Opus 4.5

Benchmarks released by Anthropic show Opus 4.5 besting both GPT 5.1 and Gemini 3 with an all-time high score of 80%, and the widely used “SWE-bench” coding benchmark. It also posted high scores for benchmarks measuring computer use, and the notoriously challenging ARC-AGI-2 visual problem-solving test, though apparently it can’t run a vending machine as profitably as Google’s Gemini 3 can.

AI coding is one of the few bright spots as companies seek profitable enterprise applications for AI that actually improve productivity. Anthropic’s success with enterprise customers has helped push its valuation to nearly $350 billion.

Jon Keegan
4h
Altman: OpenAI’s AI gadget now has a prototype

Don’t get too excited — the actual product could be nearly two years away.

sam altman, Jony Ive and Laurene Powell Jobs
tech
Jon Keegan

Amazon now has 900 data centers spread across 50 countries, report says

The exact size and shape of Amazon’s AWS global network of data centers has always been a closely guarded secret. A new report from Bloomberg and SourceMaterial sheds some light on AWS’s global reach.

Based on internal documents seen by Bloomberg, Amazon’s cloud operations include more than 900 data centers spread across 50 countries.

Amazon owns the majority of its data centers, but contracts with at least 180 different colocation entities, according to the report.

Amazon Data Center Tally Tops 900 Amid AI Frenzy, Documents Show

Amazon Data Center Tally Tops 900 Amid AI Frenzy, Documents Show
tech
Jon Keegan

Musk: We will build AI chips at higher volumes “than all other AI chips combined”

In a late-night post on X, Elon Musk boasted about Tesla’s custom AI chip plans.

Musk said the current version of Tesla’s AI chip, the A14, is in cars and data centers today, while work is underway on the A15 and A16. The goal is an Apple-style yearly iteration of its workhorse custom AI chip.

Musk wrote: “We expect to build chips at higher volumes ultimately than all other AI chips combined. Read that sentence again, as I’m not kidding.”

Elon Musk on X: "Most people don’t know that Tesla has had an advanced AI chip and board engineering team for many years.”

Elon Musk on X: "Most people don’t know that Tesla has had an advanced AI chip and board engineering team for many years. That team has already designed and deployed several million AI chips in our cars and data centers. These chips are what enable Tesla to be the leader in real-world AI. The" / X

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