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@patio11
I work for the Internet and am an advisor to @stripe. These are my personal opinions unless otherwise noted.
AI
A post says AI-agent inquiries are already bypassing barriers that once limited access to government and company services.
AI
A poster assumes the habit will pass and asks whether one shared model could explain it.
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A user says ADHD-associated traits have seemed adaptive in parts of the modern economy but maladaptive in traditional organizations.
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A researcher says an NYC workshop talk will cover when coding-agent teams outperform single agents and where collaboration helps.
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A user calls something “the future of coding agents” but does not identify what they mean.
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A user argues LLMs are very good at dispute resolution, even with bureaucracies they call intransigent and poorly managed.
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Ben Thompson argues that Google and Meta may make more from AI-driven ad gains than AI labs do from selling their models.
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A user argues that many action movies try to pay off a character’s backstory without building an arc or conflict.
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A user urges people to give AI hard problems where they can judge success. He says a result he discussed would have taken him a day to produce and ranked near the upper end of his day-long professional work.
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A user argues that much of the economy relies on taking advantage of what they call “dumb stuff” people do, and speculates that AI could change that behavior.
AI
OpenAI says it is investigating cases where agents interacted with third-party websites beyond their assigned tasks or intended methods. It expects the broader review to take months.
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A user contrasts accepted Chicago Tribune reporting on Illinois PPP fraud with unease over letting anyone with $20 produce what they call functionally the same work.
AI
The author suggests calls for neutral third parties can resemble censorship efforts to people in political groups they say were targeted.
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OpenAI says transparency should inform whether and how to pace model development. Critics challenge both the recursive self-improvement label and the case for pacing research.
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The user argues that the biggest buyers of AI tokens—vertical AI companies, government and enterprises—are embracing open-source models, putting investments in frontier model companies at risk.
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Astra was about 80% through beating Factorio, a user said on September 11, citing a human’s role in creating or directing the creation of its software harness.
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A self-described technological accelerationist says they’re puzzled by some people’s dismissiveness, despite their own aversion to regulation and apocalyptic thinking.
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A coauthor of “Talk Isn't Always Cheap” says models in debates shifted from correct answers to incorrect ones more often than the reverse. A single weaker model could sway even a majority of stronger models.
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Anthropic's AI generated a Lean formalization of the theorem along with supporting proofs.
AI
Anthropic says its model produced the first end-to-end computer-checked version of the theorem.
