technologyThursday, September 10, 2026
Today's technology news is dominated by a wave of resignations and warnings from inside Anthropic, with researchers going public about existential risks they see in the AI race. The drumbeat of insider concern is getting louder, and it's no longer just a single voice in the wilderness.
The loudest story today is the growing chorus from inside Anthropic itself, with multiple researchers going public with dire warnings about the pace of development.
Jacob Coxon's resignation from Anthropic is the headline, but his warning that the next one to two years are 'crunch time for humanity' is the real story. He describes the current AI push as a 'mini Manhattan project' with insufficient safety measures.
Anthropic researcher Evan Hubinger puts a number on the risk: more than a 10% chance AI could kill all humans within a decade. That's a stark, specific figure from someone inside a leading lab.
Business Insider covers the same Coxon resignation with a different angle, focusing on his accusation that both OpenAI and Anthropic are 'gambling with our lives' in a competitive race.
HuffPost rounds up the broader reaction, noting that other industry voices are echoing Coxon's concerns, suggesting this isn't an isolated opinion but a growing sentiment among insiders.
Beyond the AI safety debate, governments and projects are taking concrete steps toward digital independence and user privacy.
The Tor Project's new VPN beta for Android is a notable step beyond the browser, offering per-app circuit isolation for the whole device. It's a direct challenge to commercial VPNs on privacy grounds.
Switzerland's pilot of a FOSS workplace suite for 3,000 government employees is a small-scale but symbolically important move toward digital sovereignty in Europe, running parallel to Microsoft 365.
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This article introduces a systematic black-box framework for evaluating the security risks of agentic AI systems, which operate autonomously with real permissions. The proposed method utilizes a seven-domain taxonomy to map behaviors to risk categories, automated red-teaming (SAG
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