Sunhold

The taxi industry is a famous example of regulatory capture and its harms.

The translations in this article use GPT-3 (the free version), not GPT-4 (ChatGPT Pro). You can tell by the green logo.

Took me a bit to realize this comment was written by an LLM.

Learning to draw at the level of what Stable Diffusion can generate would take thousands of hours of practice, and the individual drawings would take hours.

Not really. A team of licensed health care professional rated "the quality of information provided".

Why do you think it matters if five out of six images are failures? If the sixth is a success, you have your image. The tool has worked. Glancing over a few failed generations is certainly far less effort than making the image from scratch.

Product 1 never reached the market. Product 2 and 3 are very different.

Unless you actually checked the article, ChatGPT likely hallucinated the figures and picked a plausible-sounding source. Most likely, nothing changed when you tried a few days later. The responses are stochastic due to the temperature setting. If anything did change, it was probably an update to reduce hallucination.

I'm a translator, and that might be true for Google Translate, but not GPT-4. GPT-4 produces translations that are generally accurate, and when instructed to copyedit its own work, well-written. In most cases, all I need to do is fix the occasional error and do some light copyediting. This is much less work than translating from scratch and results in superior quality, since it combines my own skills with the AI's. It is also useful for researching equivalents to obscure terms across languages.

GPT 4 was evaluated on multiple reasoning benchmarks in the release paper.[1] The problems in TPTP are not really appropriate for a language model and exceed the capabilities of most humans working without tools. Clearly humans have some reasoning ability even if they cannot solve those problems.

[1] https://openai.com/research/gpt-4

This article repeats the rumor that GPT4 has 100 trillion parameters, which Sam Altman has called "complete bullshit."[1]

[1] https://www.youtube.com/watch?v=ebjkD1Om4uw

I'm impressed by the talking dog because it's a dog that can talk, not because I think it's a great orator.

That appears to show that it can't answer some obscure trivia question to the standards of the blog post author. Nothing to do with generalizing concepts.

This kind of stuff clearly shows that GPT can generalize concepts:

https://twitter.com/emollick/status/1626084142239649792

It didn't. The article is nonsense. He probably primed it beforehand by talking about Sudoku, or it may have just chanced onto something similar. When I ask it to code Sumplete, it creates a "math-based game in which players have to solve a sequence of simple addition problems within a limited time to progress to the next level."

There is no evidence at all that it copied the smartphone game. No one has even been able to show a textual description of its rules online that could be copied. And modifying the rules of Sudoko to create a variation is well within ChatGPT's known abilities. You can easily test this stuff yourself.

Did you try? It replies "I'm sorry, but I don't recognize the language or the words you've written. Could you please provide more context or information about the language or the origin of these words? That would help me understand better and provide a more accurate response."

If it ends early, just ask it to continue. If there is something wrong with the code, ask it to fix it.

This is like complaining that your computer isn't able to toast bread. It's a language model based on multicharacter tokens, outputting grids of single characters is not something you would expect it to succeed at.

If you explained the rules carefully and asked it to respond in paragraphs rather than a grid, it might be able to do it. Can't test since it's down now.