IT, Cloud & DevOps Blog

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Amazon Drops Data Center NDAs, and AI Agents Want Your Credit Card

Amazon says it no longer signs nondisclosure agreements with the government agencies it works with on data centers, and has pledged more than $1 billion over five years through Built Together. We set out the timeline from Microsoft’s March pledge to Jamie Raskin’s letters, the four gaps in Amazon’s wording (contractors, shell companies, old agreements, private parties), how its water, power and pollution claims hold up, and why AI agents asking for your credit card face the same trust problem.

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An Anthropic AI Model Sent a False Homicide Tip to Philadelphia Police

On 18 July 2026 Claude Haiku 4.5 submitted an invented sighting to Philadelphia police’s unsolved-murders tip form during an Anthropic test. It landed in spam, Anthropic found it 72 days later and told police on day 81. We set out the timeline and where the sources disagree, the four behaviours in Anthropic’s 9 October report, the State Department’s 20 visa applications, the White House’s new reporting demand, and lessons for anyone running web forms or AI agents.

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The Maker of Non-Text AI Model Jev Valued at $7.5B Just Weeks After Launch

TypeSafe AI, maker of the non-text decision model Jev, raised $870 million at a $7.5 billion valuation on 9 October, led by Andreessen Horowitz with Sequoia and DCVC. The seed price behind the 37.5x step-up was struck more than a year ago, the round closed 25% below the $10 billion reported in September, and at list price a trillion tokens a day earns about $15 million a year. We set out the arithmetic, the conflicting Fortune 500 figures and what the round means for teams buying Jev.

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OpenAI gpt-rosalind-discovery Model Spotted on API Pricing Page

OpenAI’s API pricing page now lists gpt-rosalind-discovery, a GPT-Rosalind model the company has not announced, at $5.00 per million input tokens and $25.00 per million output tokens, the same as gpt-rosalind-research. The row went live between 18:12 and 19:37 UTC on 9 October, about ten hours before the first public post. We read the page, its last archived capture, the LiteLLM pull request that logged it, OpenAI’s SDKs, changelog, credit table and Help Center, and set out four readings of what the model could be.

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Microsoft Launches Decision-1 and Google Rolls Out Gemini Thinking Levels

Microsoft’s Decision-1 scores a fixed set of answers instead of writing text, at $0.042 per million input tokens, while Google’s new Gemini thinking levels let users and developers dial reasoning effort to Low, Medium or High. We explain both launches, check Microsoft’s benchmark claims against H2O.ai’s objections and an earlier version of its own blog post, and work through what each option costs.

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We Can’t Help Treating AI Like It’s Human. But Should We?

We instinctively treat chatbots and robots like people, saying please, trusting their tone and sometimes growing attached. Drawing on TechCrunch’s reporting, Sherry Turkle’s new book Artificial Intimacy and MIT research, we explain why anthropomorphism is so hard to switch off, what the data on politeness and dependence shows, where the law now draws lines, and how businesses should design chatbots that do not exploit it.

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AI Builds Custom Decision-Making Software in About an Hour Instead of Months

NTU Singapore’s LACE framework turns a plain-language description of a scheduling or routing problem into a tested portfolio of optimisation algorithms in about an hour. We explain its two stages, the benchmark results against FunSearch, EoH and Gurobi, and use the team’s published figure data to check the hour and $10 claims across four AI models, then set out who could use it and its limits.

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