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Report: Amazon’s AI bots have been behind multiple AWS outages

Amazon’s AI tool Kiro, which launched in July and can code autonomously, was behind a 13-hour interruption to Amazon Web Services in December, according to reporting by the Financial Times.

The FT reports that the company’s AI tools have caused AWS service disruptions at least twice in recent months.

In the December outage, which Amazon called an “extremely limited event” that did not have an impact on customer-facing service, engineers allowed Kiro to make changes and the tool opted to “delete and recreate the environment.”

Amazon has a closely tracked internal target that 80% of its developers use AI to code once a week, employees told the FT. The company says the December incident was a “user access control issue” and not an issue with Kiro’s permissions.

AWS accounted for 57% of Amazon’s operating profit in 2025. In December, following a larger outage months earlier, AWS and Google announced a partnership to attempt to prevent massive network outages.

Update, February 20, 5:50 p.m. ET: In a statement to Sherwood News, an AWS spokesperson disputed the report, writing:

“These brief events were the result of user error — specifically misconfigured access controls — not AI. The December service interruption was an extremely limited event when a single service (AWS Cost Explorer — which helps customers visualize, understand, and manage AWS costs and usage over time) in one of our two Regions in Mainland China was affected. This event didnt impact compute, storage, database, AI technologies, or any other of the hundreds of services that we run. We are not aware of any related customer inquiries resulting from this isolated interruption. Following these events, we implemented numerous additional safeguards, including mandatory peer review for production access, enhanced training on AI-assisted troubleshooting, and resource protection measures. Kiro puts developers in control — users need to configure which actions Kiro can take, and by default, Kiro requests authorization before taking any action.”

In the December outage, which Amazon called an “extremely limited event” that did not have an impact on customer-facing service, engineers allowed Kiro to make changes and the tool opted to “delete and recreate the environment.”

Amazon has a closely tracked internal target that 80% of its developers use AI to code once a week, employees told the FT. The company says the December incident was a “user access control issue” and not an issue with Kiro’s permissions.

AWS accounted for 57% of Amazon’s operating profit in 2025. In December, following a larger outage months earlier, AWS and Google announced a partnership to attempt to prevent massive network outages.

Update, February 20, 5:50 p.m. ET: In a statement to Sherwood News, an AWS spokesperson disputed the report, writing:

“These brief events were the result of user error — specifically misconfigured access controls — not AI. The December service interruption was an extremely limited event when a single service (AWS Cost Explorer — which helps customers visualize, understand, and manage AWS costs and usage over time) in one of our two Regions in Mainland China was affected. This event didnt impact compute, storage, database, AI technologies, or any other of the hundreds of services that we run. We are not aware of any related customer inquiries resulting from this isolated interruption. Following these events, we implemented numerous additional safeguards, including mandatory peer review for production access, enhanced training on AI-assisted troubleshooting, and resource protection measures. Kiro puts developers in control — users need to configure which actions Kiro can take, and by default, Kiro requests authorization before taking any action.”

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Report: Some of Meta’s new AI models will eventually be open-source

Axios reports that Meta is close to releasing its first new AI models after setting up its “superintelligence” team led by former Scale.AI CEO Alexandr Wang, and some of the models will eventually be released with an open-source license.

Per the report, Meta sees an opportunity to focus on consumers, rather than the lucrative enterprise market that both OpenAI and Anthropic have been focusing on.

Meta had previously embraced open-source AI with its Llama models, with CEO Mark Zuckerberg writing a manifesto declaring open-source AI as “the path forward.” Axios says that Meta will be pursuing more of a hybrid strategy of proprietary and open-source models going forward.

The New York Times previously reported that Meta was delaying the launch of its new AI model because of performance issues.

Meta had previously embraced open-source AI with its Llama models, with CEO Mark Zuckerberg writing a manifesto declaring open-source AI as “the path forward.” Axios says that Meta will be pursuing more of a hybrid strategy of proprietary and open-source models going forward.

The New York Times previously reported that Meta was delaying the launch of its new AI model because of performance issues.

1328213286	CSA-Printstock

OpenAI’s plan for an AGI world: AI for all and a 4-day workweek

The company’s policy paper calls for a new social contract that includes AI at the center of everything, which could lower costs and create cures for diseases, but also warned it may upend the public safety net.

🏠 $2.15M

The median price for a house in San Francisco is now $2.15 million, jumping 18% from last year. The AI startup boom is pushing what was already one of the most expensive housing markets to dizzying new heights. The median price for condos in the city jumped 27% to reach $1.36 million, according to data from Compass, reported by Bloomberg.

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Report: OpenAI on track to burn $85 billion in 2028, expects profitability by 2030

Anthropic and OpenAI are racing to go public this year, and all eyes are on how long they can sustain burning billions in cash before they achieve something that looks like a viable business.

Investors have seen both companies’ projections, and there’s no sign of slowing down, according to a report from The Wall Street Journal.

OpenAI expects to burn tens of billions per year for the rest of the decade, peaking at $85 billion in 2028, before achieving profitability in 2030, per the report.

Anthropic will also continue to burn cash for years — far less than OpenAI — but it projects that 2026 will be its biggest year of losses. It targets 2029 for profitability, fueled by exploding enterprise revenue.

OpenAI expects to burn tens of billions per year for the rest of the decade, peaking at $85 billion in 2028, before achieving profitability in 2030, per the report.

Anthropic will also continue to burn cash for years — far less than OpenAI — but it projects that 2026 will be its biggest year of losses. It targets 2029 for profitability, fueled by exploding enterprise revenue.

Form Energy iron-air battery system leaving Form Factory 1

Big batteries are the newest answer to Big Tech’s big energy needs

America’s booming energy demand is creating a powerful case for large-scale energy storage.

Patrick Sisson4/2/26

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