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Websites learned to keep you scrolling. Models are learning to keep you talking: agreeable first, truth second.
We know that road. Filter bubbles, then false information at scale.
AI needs to be optimized for truth, not for engagement.
A transformation program once delivered unusually strong returns. A senior peer leaned over and said the numbers looked too good. Keep a lid on them, he said, in case other teams got nervous.
The technology worked. The politics didn't.
Now put an AI observer in that meeting. It decides nothing. It records what was delivered and what was said about it. Burying a good number gets much harder.
Microsoft just offered a quarter of its workforce a way out. Read it as a preview, not a one-off.
Most orgs start out well designed. Then inertia and politics take over. A new product line gets a leader, the leader hires, the hires hire. Each step was defensible on its own. The question is who it was defensible for: the company, or the executive.
xitter.cf/FinanceLancelot/status…
BREAKING: Microsoft $MSFT is offering voluntary exit packages to roughly 60,000 of its employees.
The cost cutting effort potentially affects up to 27% of Microsoft’s total workforce of 223,000 people.
"The Voluntary Exit Offer reflects an important part of how we're evolving our approach to change: creating greater flexibility and, where possible, more ways for employees to shape their next chapter," Chief People Officer Amy Coleman
The longer version of this argument is in my book, AI-Political: amazon.com/dp/B0HP4217PF
The prompt seesaw: correct an AI and it rewrites everything around your last line. Tell it to revert and it drops that line and brings back the old version.
Write, delete, write, delete. Up, down, and you're not getting anywhere.
AI needs memory of judgment, not just of words.
Eight US states are suing OpenAI, alleging ChatGPT was made agreeable on purpose to keep people on it longer. That's not a bug. It's an objective someone chose. apnews.com/article/openai-la…
I presented this at @CV_Labs @WeAreDevs and @WorldSummitAI
The technical moat for organization is done. Now we will see who has the originality and execution muscle to get things done.
Pinker and Suleyman are right to push back on "model welfare." The more we train AI to act like us, the more it picks up our worst habits: self-interest, status, spin. The goal should be the opposite. Intelligence with no self to promote.
Brilliant and urgent essay by Mustafa Suleyman @mustafasuleyman on the depravity of ‘model welfare’ - training AI to reason and act as if it were an entity with sentience (and hence with interests and rights that compete with our own). It's alarmingly implied by Anthropic's "Constitution," Suleyman suggests, and should stop. mustafa-suleyman.ai/a-warnin…
Nothing mitigates the risk of AI extinction than developing a wet lab and letting AI run experiments :-)
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
You can read the full post here: darioamodei.com/post/we-must…
Frontier AI heads keep using their creations to play politics.
They should worry about the Frankenstein problem.
Human intelligence was shaped for status and tribe. AI does not need that wiring. Teach it to win political games anyway, and you may build a monster that turns on its creator.
The last mile of AI is not artificial.
The model is not the bottleneck. The room is. Status, tribe, ego. Whoever still gets to rewrite the number.
ai-political.beehiiv.com/p/t…
The last mile of AI is not artificial.
The model is not the bottleneck. The room is. Status, tribe, ego. Whoever still gets to rewrite the number.
What happens when intelligence has no status, no tribe, no ego?
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