AI
Sometimes, gave the same task to multiple models, comparing and merging their outputs to maximize quality. It's like double bookkeeping: when you know something is prone to errors (or, in Al's case, hallucinations), it's best to give the same task to two or three different models. This significantly reduces the error rate.
The approach mirrors ensem
... See moreSo why wouldn’t a fledgling AI—even one destined to eventually become very wise and good—do some serious damage before it grows up? Will it be more like a child, learning slowly under our guidance? What will its ‘pulling the wings off flies’ phase look like? Will it treat us as abysmally as we treat other animals?
Even an AI that can think at apprec... See more
Even an AI that can think at apprec... See more
Why I Am No Longer an AI Doomer
How bad could it be? If you ask the researchers at Anthropic, even if progress stalls out here, current algorithms will automate all white collar work within the next five years: it’s just a matter of collecting the relevant data and spoonfeeding it to the models. In the worst-case scenario, highly repetitive manual labour becomes the last frontier... See more
Why I Am No Longer an AI Doomer
Even companies that are actually profitable (in the sense of bringing in more revenue than it costs to keep the business's lights on) love to juice their stats, and the worst offenders are the Big Tech companies, who reap a vast commercial reward from creating the illusion that they are continuing to grow, even after they've dominated their sector.
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Pluralistic: How much (little) are the AI companies making? (30 Jun 2025) – Pluralistic: Daily links from Cory Doctorow
A 12-Step Guide to Bullshit Work in the Age of AI
Step 1: Schedule a Meeting to Align on Priorities
Launch with a sync to "get everyone on the same page"—a page nobody reads. Auto-invite 12 people who won't attend. Record everything for "transparency," guaranteeing zero future views.
Step 2: Auto-Transcribe the Meeting
Deploy AI to transform manager... See more
Step 1: Schedule a Meeting to Align on Priorities
Launch with a sync to "get everyone on the same page"—a page nobody reads. Auto-invite 12 people who won't attend. Record everything for "transparency," guaranteeing zero future views.
Step 2: Auto-Transcribe the Meeting
Deploy AI to transform manager... See more
Escape Velocity—How AI Will Achieve Peak Bullshit Work
But as Al takes on more complex, specialized tasks, the ability to synthesize information from different fields becomes crucial.
The goal is to become M-shaped, combining mastery across multiple fields with strong business and leadership skills. For exam-ple, a product manager might also become an online marketer and video editor. A finance manager
... See moreTo handle prompt drift (where similar prompts produce inconsistent results), we started treating prompts like code - storing them in our version control system with comments explaining why certain phrases worked better than others. This prompt library has become a valuable team asset.
Prompt to Code: Why I Stopped Prototyping in Figma and What This Means for Product Designers
A mind with the ability to create new knowledge will necessarily be a universal explainer, meaning it will converge upon good moral explanations. If it’s more advanced than us, it will be morally superior to us: the trope of a superintelligent AI obsessively converting the universe into paperclips is exactly as silly as it sounds.
Why I Am No Longer an AI Doomer
Let's Get Real About The Problems With AI
A comprehensive index of real issues, misconceptions, and cognitive fallacies in artificial intelligence discussions.
A comprehensive index of real issues, misconceptions, and cognitive fallacies in artificial intelligence discussions.