Anthropic presents data suggesting AI is increasingly capable of automating AI development tasks, raising questions about recursive self-improvement.
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Technology & AI
345 posts
DojoClaw: The Engine Behind the Fleet
DojoClaw, an AI-driven content engine, now operates over 450 sites, enabling high-volume, cost-efficient publishing with provider-agnostic, local compute infrastructure.
The labor share. Is value really moving from labor to capital? The data isn’t on anyone’s side yet.
Recent data shows mixed signals on whether AI is shifting value from labor to capital, with aggregate stability contrasted by early displacement signs.
Technology Is Never Neutral: Pope Leo XIV’s AI Encyclical, and the Empty Chairs in the Room
Pope Leo XIV’s first encyclical addresses AI’s impact on humanity, highlighting ethical concerns and the selective presence of Anthropic at the Vatican event.
The Frameworks Can’t See the Thing That Matters: A Year of AI-Enabled Cyber Threats
A new report reveals AI’s role in transforming cyberattacks, making them more complex and less detectable by traditional threat assessment methods.
The Bottleneck Moved: Inside Anthropic’s Expansion of Project Glasswing
Anthropic is extending its cybersecurity initiative, Project Glasswing, to over 150 organizations, shifting focus from finding vulnerabilities to fixing them rapidly.
The Deploy Button Became the Bottleneck — and Cloudflare Just Bought the Build Step
Cloudflare’s acquisition of VoidZero aims to streamline deployment pipelines, integrating build tools directly into its edge network, signaling a shift in software development.
Glasspane: When Transparency Itself Becomes the Product
Glasspane introduces role-aware dashboards and AI-driven insights, redefining infrastructure transparency for diverse stakeholders.
The prospectus. Where the AI labs’ singular governance history meets the auditor.
OpenAI is expected to file confidentially for its historic IPO, exposing its unique governance structure and associated risks in the prospectus.
The stake. Why the answer to automation is broad-based ownership, not a bigger transfer.
Expert argues that expanding ownership of capital, not increasing transfer payments, is the market-friendly way to address AI’s impact on income distribution.