Donor Funding Amplified AI Alarmism, But Public Records Don’t Prove a Manufactured Panic
Did donors manufacture an AI panic? What the public record actually shows A resignation at an AI lab, a Wall Street Journal story, high-profile tweets and a Senate bill have fed a heated public conversation about advanced AI. A widely shared thread argues those moments were amplified, even manufactured, by a network of philanthropic funders. […]
CFTC Innovation Task Force: Immediate Playbook for AI, Crypto and Prediction‑Market Compliance
Executive summary The Commodity Futures Trading Commission (CFTC) has launched an innovation task force to shape U.S. rules for crypto, artificial intelligence, and prediction markets, a clear signal that futures and derivatives regulators are paying close attention to emerging tech that touches tradable instruments. This is not the end of the story: jurisdiction over many […]
CFTC Innovation Task Force: How Crypto, AI and Prediction Markets Must Prepare Now
CFTC Announces New Task Force Regulating Crypto, AI and Prediction Markets When traders demanded payouts after a viral report about Ayatollah Ali Khamenei’s death, the episode exposed how fragile rules are when real-world events collide with event-based markets. The prediction market Kalshi refused those payouts, citing its rule that bets on deaths are prohibited, a […]
Amazon QuickSight: Automate User-Level Custom Permissions to Prevent Privilege Creep
Automate user-level custom permissions for Amazon QuickSight TL;DR: Use a layered approach. Set conservative account- or role-level defaults, apply profiles at user creation when possible, react to group changes with an EventBridge→Lambda pipeline, and run a paginated batch job to remediate existing users. Together these patterns shrink the transient provisioning window where privilege creep and […]
Amazon Bedrock AgentCore: Heurist’s AI-native investment workbench with per-query USDC data
How Heurist Finance built an AI-native investment workbench on Amazon Bedrock AgentCore A fragmented, expensive set of paywalled market-data sources is the default reality for anyone building modern investment workflows. Heurist turned that pile of vendors into a portfolio-aware chat experience by using Amazon Bedrock AgentCore and buying premium data per query, settling payments in […]
ChatGPT Images 2.5: Flare vs Sunburst and an operational playbook for cost, latency, provenance
ChatGPT Images 2.5: Faster, more precise, but not the same for everyone On Sep 9, 2026, OpenAI announced ChatGPT Images 2.5: two new image models (GPT-Image-2.5 Flare and GPT-Image-2.5 Sunburst), higher quality tiers, faster generation for many use cases, in-chat creative tools, and layered provenance measures. OpenAI also said users now generate more than three […]
AI in Schools: Teach Students to Use Tools Well, Train Teachers, and Safeguard Equity
The question isn’t whether schools will meet AI, it’s whether they will teach students to use it well. Daniel Susskind argues that parents, teachers and policymakers should stop asking for bans and start planning how children will learn to work with intelligent tools. In What Should My Children Do? How to Flourish in the Age […]
UK datacentres will create about 10,400 permanent jobs — far fewer than industry claims
Verdant’s tally: UK datacentres will deliver far fewer permanent roles than industry claims Verdant, an environmental thinktank, calculates that the datacentres currently planned for the UK will directly create about 10, 400 permanent jobs, roughly one-quarter of the headline figure industry lobby TechUK has promoted. TechUK says the sector “supports 43, 500 jobs, and could […]
GPT-6 Astra on Amazon Bedrock: 1M-Token Context, Agent Tools, and Enterprise Pilot Checklist
Take on your most ambitious work with GPT-6 Astra on Amazon Bedrock Amazon and OpenAI are now offering GPT-6 Astra on Amazon Bedrock, a vendor-stated combination aimed at workflows that need very large context, cross-application actions, and integrated agent tooling. According to an AWS blog post by Tanvi Girinath (AWS) and Chris Dickens and Manish […]
Cross-account model governance on AWS with Managed MLflow and SageMaker: hub-and-spoke vs hybrid
When a data scientist clicks “register”: two AWS-native ways to govern models across accounts When a data scientist clicks “register, ” who owns the artifact, who can approve it, and where does provenance live? For teams that must satisfy auditors or internal compliance, those are operational questions, not academic ones. This follow-up to the first […]