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Useful guide, thanks. Comments are quite good too.

I'd be very interested in seeing your results and findings written in a writeup in the future. Thanks for sharing!

Useful resource for CISOs and enterprise security leaders.

Thank you for sharing your insight.

Doubtful that they can do this in a way that accurately and effectively helps the user compared to showing the dislike count.

YouTube is plagued by low quality content with clickbait titles, descriptions, and images. Often they outright lie about the content. The recommendation algorithm prioritizes these videos first.

Users can't determine in advance that these videos are poor quality, so they'll be forced to watch those poor quality videos until they find a good one. YouTube wants it to be like this because it increases time on the platform and their advertising revenue.

Along the way, users can dislike these videos but that video still gains views which helps push itself upwards in the recommendation algorithm. Particularly videos with clickbait titles, descriptions, and images tend to amass large numbers of views in short periods of time, which YouTube may recognize as "going viral" and give it an additional push in its recommendations when searching for important keywords.

Furthermore, many users are also watching these videos whilst not logged in or don't care to click dislike, which is another lacking signal to help tune YouTube's ranking algorithm correctly.

The post contains a video of how ads might look within their Search + Bard integration: https://storage.googleapis.com/gweb-uniblog-publish-prod/ori...

Some interesting links and tools in this thread, e.g. datasette.io

Also, Neeva was founded by Sridhar Ramaswamy (ex-SVP of Ads at Google) and Vivek Raghunathan (ex-VP of Monetization at YouTube).

Great article, with many other very interesting articles on his website.

Google has multiple horses in this race.

They invested $300m in Anthropic in late 2022: https://www.ft.com/content/583ead66-467c-4bd5-84d0-ed5df7b5b...

(Non-paywall: https://archive.is/Y5A9B)

Thanks! You are also missing a few other elements which need to be removed:

``` document.querySelector('.paywallActive').classList.remove('paywallActive'); document.querySelector('.paywallFade').classList.remove('paywallFade'); document.querySelector('.paywall-selector').classList.remove('paywall-selector') ```

Optional: This also hides that subscription banner (or you can just scroll past it if it doesn't both you)

``` $(document).ready(function () { $(".pn-offer-grid__body").hide(); }); ```

What is the definition of "agency" in this context?

Also curious about these emergent properties too. Interesting responses and links to this in child comments.

I can't believe they're still selling so many iPhones. $220 billion yearly revenue is at least 220 million iPhones sold a year. Where are all these people buying new iPhones? I don't think they're really gaining market share in the US at least, so unless it's overseas market share growing people are just replacing their perfectly good phones from a few years ago for reasons I can't comprehend. I mean that's 3 out of every 100 people in the world buying an iPhone just in the last year.

Leaked document. What a document.

Fantastic comments in this thread. Worth reading again in the future.

Can't wait to see where the industry goes.

Diminishing returns are currently seen in "transformer scaling laws."

"OpenAI’s CEO says the age of giant AI models is already over": https://news.ycombinator.com/item?id=35603756 (shared 3 dags after this post)

Let's see what the future holds.

The difference between this and crypto is that users are already gaining tangible value and benefit from these AI products.

Same here.

Although you say "slightly Manga-ish" women - I saw some quite realistic photos.

Your comment was posted 22 hours ago though. It's possible that the models (pun unintended) have gotten even better since you last looked.

Thanks for sharing this link to AI resources: https://library.phygital.plus/

Huge fan of your site. My wife is Australian, and moved here to be with her. I used your site when purchasing my one-way ticket!

> I find it is like having a brilliant intern that is not super consistent in taking their antipsychotic medication

This is fantastic.

Note to future self: I feel like this is the beginning of AI truly making the world a different place.

Today is Mar 18th 2023.

The prompts used and documented by OpenAI in their testing of GPT-4 are fascinating (incels, erotic sex themes, etc):

https://cdn.openai.com/papers/gpt-4-system-card.pdf

If you were an NLP researcher at a university whose past years of experience is facing existential threat due to this rapid innovation causing your area to become obsolete, what would be some good areas to pivot to or refocus on?

Exciting times.

OpenAI's GPT-4 announcement, Google announcing AI for Workspace, Meta additional 10k layoffs, and now we're seeing homomorphic encryption come out to the masses.

All in one day!

Here's a mapping of Manager levels to other companies such as Google, Amazon and Microsoft:

https://www.levels.fyi/?compare=Facebook,Microsoft,Google,Am...

And as another point of reference, mapping of Engineer levels to these same companies:

https://www.levels.fyi/?compare=Facebook,Microsoft,Google,Am...

Company announcement: https://www.atlassian.com/blog/announcements/atlassian-team-...

SEC filing: https://www.sec.gov/Archives/edgar/data/1650372/000165037223...