Ethan Mollick

Here's another article summarizing the OC article [1].

It summarizes the details without any narrative, and concludes with:

> While he was mostly stone-walled, Galuten was able to confirm this from at least one major producer. A General Mills representative told him that the Progresso Chicken Broth recipe starts with a broth concentrate. Then they add in water and additional ingredients to create what you buy in the store. Or, Galuten, says “just buy literally any box of chicken stock because they are probably all the same.”

Frankly I don't find this as interesting as the original post.

I guess it seems more down to earth and less sterile than presenting the facts in a traditional "journalist" third person way.

Maybe I'm biased because I also write in this style for my own blog, but I frequently see this style used by hobbyists exploring technical topics on the front page of HN. E.g. a random post from the front page right now [2]

[1]: https://www.tasteofhome.com/article/whats-in-store-bought-chicken-stock/

[2]: https://oneusefulthing.substack.com/p/my-class-required-ai-heres-what-ive

The process is spelled out in more detail in Prof. Mollick's month-old Substack post which is linked (through a t.co redirect) from the NPR article:

There are now a lot of services that can create realistic, virtual voices. Many of these can create voices that mimic anybody with high accuracy. For my experiment, I used a service called ElevenLabs, which cost me only $5.... As you might be starting to suspect, there are a growing number of services that will create a video of you from just a script and a single photograph. I used D-ID, which costs $5.99 a month....

<https://oneusefulthing.substack.com/p/a-quick-and-sobering-guide-to-cloning>

I'd typically suggest that HN swap the NPR link for the disintermediated source, though NPR adds some useful observations about the political, propaganda, and fraud elements of the technology. Both probably merit first-order status at HN.

The substack article has been submitted within the past few hours here: <https://news.ycombinator.com/item?id=35274362>

Interpolation and forming internal abstraction from training data to solve problems are what most jobs consist of. Recent language models can do that sufficiently well it can help automate many kinds of tasks.

Check out cases of people using GPT-4 to help automate their coding (on Twitter and elsewhere). It's not ready for harder problems but we're 1-3 key ideas away from solving them as well.

Wikipedia cannot do the followings:

* Minerva: Solving Quantitative Reasoning Problems with Language Models
https://ai.googleblog.com/2022/06/minerva-solving-quantitative-reasoning.html

* What can AI do in 30 minutes?
https://oneusefulthing.substack.com/p/superhuman-what-can-ai-do-in-30-minutes

For that matter, most signatories of the petition (and myself) were never persuaded by most other "revolutionary" ideas you mentioned above.

See the names and accomplishments of the signatories at the bottom part of the page: https://futureoflife.org/open-letter/pause-giant-ai-experiments/

It's self-evident that GPT is a world-modeller, at least within the confines of the text boundary. It's able to come up with novel ideas seen nowhere in the training data, combinations that demonstrate there is a world concept web and not just a text probability web. It may not "understand" much of the hallucination nonsense it spits out, but there absolutely are moments where it "understands".

See the Rome example on this page: https://oneusefulthing.substack.com/p/feats-to-astonish-and-amaze
This is essentially a completely novel answer to an /r/AskHistorians style question, which I would consider one of the most difficult types of internet text to model, in terms of the amount of understanding and concept webs you need to tie together

For example when making goals this year I asked it to break it down into monthly increments and at what point I needed to be at this year and put that into a table, it was quite helpful.

I’ve not used bing yet, but chatgpt is all about feeding it the right data first before telling it what you want else your answers will be generic and awful, I found this article about the bing chat bot that might help:

https://oneusefulthing.substack.com/p/power-and-weirdness-how-to-use-bing?utm_source=substack&utm_medium=email