Exclusive | The Sudden Fall of OpenAI’s Most Hyped Product Since ChatGPT - WSJ
<a href="https://news.google.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?oc=5" target="_blank">Exclusive | The Sudden Fall of OpenAI’s Most Hyped Product Since ChatGPT</a> <font color="#6f6f6f">WSJ</font>
Could not retrieve the full article text.
Read on Google News: ChatGPT →Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
productchatgpt
Progressive Disclosure: Improving Human-Computer Interaction in AI Products with Less-is-More Philosophy
Progressive Disclosure: Improving Human-Computer Interaction in AI Products with "Less-is-More" Philosophy In AI product design, the quality of user input often determines the quality of output. This article shares a "progressive disclosure" interaction solution we practiced in the HagiCode project. Through step-by-step guidance, intelligent completion, and immediate feedback, we transform users' brief and vague inputs into structured technical proposals, significantly improving human-computer interaction efficiency. Background Those working on AI products have likely encountered this scenario: a user opens your application, excitedly types a requirement, but the AI returns completely irrelevant content. It's not that the AI isn't smart—it's simply that the user provided too little informa

Ten different ways of thinking about Gradual Disempowerment
About a year ago, we wrote a paper that coined the term “ Gradual Disempowerment .” It proved to be a great success, which is terrific. A friend and colleague told me that it was the most discussed paper at DeepMind last year (selection bias, grain of salt, etc.) It spawned articles in the Economist and the Guardian . Most importantly, it entered the lexicon. It’s not commonplace for people in AI safety circles and even outside of them to use the term, often in contrast with misalignment or rogue AI. Gradual Disempowerment tends to resonate more than Rogue AI with people outside AI safety circles. But there’s still a lot of confusion about what it really is and what it really means. I think it’s a very intuitive concept, but also I still feel like I don’t have everything clear in my mind.
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Models

AI Code Generation: The Hallucination Tax
Performance-Fresser — Episode 20 "AI will write your code! 55% faster! Ship in half the time!" METR ran a randomised controlled trial. Sixteen experienced developers, 246 tasks, mature codebases averaging one million lines of code. Result: developers using AI were 19% slower. Not faster. Slower. The developers themselves believed they were 20% faster. They were not. One does admire the confidence. The Hallucination 19.6% of AI-recommended packages do not exist. Nearly one in five imports point to packages that were never published. 43% of those hallucinated packages reappear consistently across re-queries. The AI does not guess randomly. It hallucinates with conviction, and it hallucinates the same things repeatedly. This is not an edge case. Across 756,000 code samples and 16 models, the






Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!