The question behind AI panic: What happens to me if it works?
Workers may hide AI gains when working faster makes them look replaceable. Employers need to give them a reason to share.
52 stories
Workers may hide AI gains when working faster makes them look replaceable. Employers need to give them a reason to share.
Longtime dollarization foe Rafael Correa spent a decade attempting to dismantle Ecuador’s dollarized system. It survived him and South America’s Pink Tide.
In my previous Radar article, “Architectural Guardrails for AI-Generated Code,” I argued that AI coding agents need a layer that can hold architectural decisions in a structured corpus, retrieve the relevant ones, put them into the agent’s context before it writes code, and enforce explicit…
The hardest thing to accept is that people who didn’t build this company alongside you can see things you don’t.
Today’s psychedelics bear little resemblance to 1970s counterparts. These medicines undergo rigorous clinical trials and licensed manufacturing processes.
The following article originally appeared on the Agentic AI Foundation blog and is being reposted here with the author’s permission. Websites are designed for people. We can look at a page and quickly understand where to enter information or which control will complete an action.
Fifty years of digital innovation delivered spectacular adoption and declining productivity. Will AI repeat that pattern?
Kevin Warsh may be the most hawkish Fed chair since Paul Volcker. September's Treasury rout shows what that costs.
Our new research finds that the U.S. economy will have more jobs by 2035 than today, but the mix will differ.
On a recent episode of This Week in AI, we discussed that the number of nonhumans on the internet is greater than humans, 144 to 1. It’s an estimate, and the order of magnitude is more important than the number itself. What matters is what a ratio anywhere in that range does to a security […]
Artificial intelligence systems are difficult to reproduce because their behavior depends on nondeterministic models and on data, configurations, policies, and external services that continue to change. But exact reproducibility is not always what operators, investigators, or auditors need.
This is the final post in a four-part series about post-training. If you missed them, check out part 1, part 2, and part 3. Time to get your hands dirty! I’ll take you through implementing the key pieces of the classic ChatGPT pipeline: SFT, then reward model training, then PPO.
My book went through five editorial rounds and more than 4,000 tracked changes, but I later discovered it had 26 quotes that didn't hold up under scrutiny.
The following article was originally published on the Agentic AI Foundation blog site and is being republished here with the author’s permission. A customer asks your company’s AI agent to update the shipping address on account 123.
In the year of America's 250-year history, we are facing the most serious threat to our system of "we the people" government since 1860.
Like the financial industry of the 1930s, the AI industry is currently largely unregulated, heightening fears that it could do widespread harm.
America’s debt is rising by the trillion. Congress is still refusing to face the bill.
AI has made hiring noisier, but the basics of standing out have not changed.
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