is AI gonna take our jobs?

LAWL

What is incredibly ironic about that is that Google declared a "Code Red" over ChatGPT a few weeks ago, which basically means they are concerned about its threat and are refocusing and redirecting all of their corporate energy towards it and similar endeavors.

Specifically they're concerned that people would rather use a chatgpt-type interface instead of Google search for web browsing
 
https://www.yahoo.com/finance/news/apple-stock-nailed-earnings-tim-cook-economy-111807806.html
Apple stock gets nailed as CEO Tim Cook spooks investors with one phrase



Apple Earnings Overview
  • Revenue: $117.1 billion versus $121.1 billion expected
  • Adj. earnings per share: $1.88 versus $1.94 expected
  • iPhone revenue: $65.7 billion versus $68.3 billion expected
  • Mac revenue: $7.7 billion versus $9.72 billion expected
  • iPad revenue: $9.4 billion versus $7.7 billion expected
  • Wearables: $13.4 billion versus $15.3 billion expected

The stock rebounded. The market cap is $2.42T ... but they will likely cut some spending and investment.
 
That's 80% of their profit, ha...uh ohhh, it's over, we're done, man.

I'm not sure what you're talking about since Google's searches are already automated. it's not like there's a guy in the backroom reading your search prompts and furiously looking up links to send back to you
 
I now attach that saying to everything-AI...to install a feeling of impending technological doom as I leave the chat...
 
ChatGPT makes basic arithmetic and factual errors constantly. I wouldn't personally use it as of now as more than inspiration or a first step in a research sequence,.

BTW DLD, what I've read about the implementation of ChatGPT into Bing search is that it synthesizes the information it brings you into written paragraphs, but with footnote annotations showing you where it got the info, and reading it all out next to the search links themselves. so, almost like a wikipedia entry compiled on the fly. basically that sounds like a perfect implementation of the technology into search. I think I'd absolutely use it. and the NYT tech reviewer (Kevin Roose) who tried it says it converted him from Google.

But Google may yet win the race, at least according to an AI researcher whose newsletter I subscribe to. He writes, "Amongst the biggest advantages that Google has over ChatGPT is the multimodal capability of Google’s AI Systems. Simply put, Bard will be far for than a language model. It will integrate language, images, sound and other senses."

https://artificialintelligencemades...-chatgpt?utm_source=substack&utm_medium=email

First mover advantage won't matter that much if Google rolls out a superior product. I'm not backing a horse, just commenting.

In other AI-related news, "This AI Image Fooled Judges and Won a Photography Contest"
https://petapixel.com/2023/02/10/ai-image-fools-judges-and-wins-photography-contest/


And the company Runway now has an AI video generator that transforms videos you supply into a different style (claymation, for example). But honestly, looking at what it can do gives me hope that the problem of generating photorealistic video from scratch will not be so easily solved. Clearly, it's at least an order of magnitude more difficult to accomplish than photographs.

https://medium.com/generative-ai/gen-1-an-amazing-new-generative-ai-video-technology-bb776f5fe8cc
 
This is interesting. Apparently Runway's bread and butter commercial offerings are cloud-based rotoscoping and other VFX tools that are supposedly fast, easy, and powerful.

Here's an interview with the team at Colbert at how they use the automated rotoscoping features to meet incredibly tight deadlines on VFX-heavy edits: https://runwayml.com/customers/late-night-show-cbs-uses-Runway/

The pricing is quite reasonable. Some tools are available for free. Moving up to full-quality export and the full assortment of tools will cost you either $12 or $28/month. This is potentially something I could use: https://runwayml.com/pricing/
 
A) Text, voice and image integration is obviously a goal but I am not sure everyone will want to go all three on every search.

B) Photo-realistic would have to be cloud based, with the exception of rendering farms.

As to films, I think that if one builds a single image frame via voice or text prompts, one should then be able to subsequently follow that up with a full scene at that "location". In other words, a complete film made from voice/text prompts is entirely possible in the near future.
 
A) Text, voice and image integration is obviously a goal but I am not sure everyone will want to go all three on every search.

Not to return those assets for the search, which you can already basically do. But to process the information in audio and video clips and photographs and report it in the natural language it returns to you when relevant.

B) Photo-realistic would have to be cloud based, with the exception of rendering farms.

I'm sure it would, but I haven't seen a proof of concept to convince me that they're capable of generating photorealistic video in the first place. Maybe it's just around the corner, or maybe not. The runway demo is in some ways not very impressive. Even generated photos are operating at very low resolutions still.

With video game engines like Unreal you can do impressive things but I don't think it actually looks real yet and presumably you need to have a 3D model and a lot of predetermined characteristics about its movement.
 
https://twitter.com/fchollet/status/1624817201906868225?t=OmgvbCJeQ5AEgKWyg-Sfjg&s=19

LLMs (and big curves in general) can store and reuse human-generated abstractions that they're exposed to, but cannot generate their own abstractions when faced with a new problem...

My a-priori expectation is that ChatGPT will be able to solve a previously seen task, but will not be able to adapt to any original task no matter how simple, because its ability to solve problems does not depend on task complexity but on task familiarity.

You can read through his brief trials. Long story short - ChatGPT fails to solve unfamiliar puzzles of equal difficulty as puzzles it can solve because it was trained to.
 
Here's another AI video editor. Seems like it's fine-tuned for creating internet news-clip type graphics. Intro graphics, sound byte emphasis. And it has a text to image generator component for adding b-roll. The interface is word processor-esque based on an automated transcript. But basically you upload an edited interview to their cloud and then add graphics and b-roll in your web browser using their system.

https://ai.capsule.video/

Capsule’s customers aren’t looking for a fully automated “one-click” solution, even though CapsuleScript would be capable of that.

“In reality what customers actually want is 80% automation, and 20% customization so they can tell a unique, creative story without a ton of friction,” he explains.
https://techcrunch.com/2023/02/14/ca...-and-more/amp/

Unlike Runway, this isn't a product that would be useful for the work I currently do for any regular clients. But obviously videos like these are ubiquitous, and personally i watch many. I'm not crazy about the fake photo b-roll. That's not going to add to my experience as a viewer since videos like these are essentially documentary and I would like to be shown reality.
 
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The reporting about the new version of Bing with incorporated chatbot is fascinating. I can't access the service myself to test it out, but there are too many reports coming from too many places to be ignored.

Bing gets facts and dates wrong and then argues with the user. It says strange, emotional things. (I assume that its creators endowed it with some personality-like characteristics?) When asked about the embarrassing error in Google Bard's launch, it said that Bard misstated the number of countries in the EU because Croatia has recently left the EU. (That wasn't the error, and Croatia is still in the EU.)

More troublingly, it mangled financial data when asked to summarize a financial report of GAP. It misstated things, left things out, made numbers up. Wild.

https://www.digitaltrends.com/comput...-hands-on/?amp

https://www.theverge.com/2023/2/14/23599007/microsoft-bing-ai-mistakes-demo
 
It's called "teething trouble". The problem with these AI systems is that there's no predecessor to estimate what it will be once fully developed.

(if a frunk flies off a C-8 Corvette, one thinks that GM will solve the problem bu putting higher quality latches ... but here no one knows where exactly this is going and what exactly it will become)
 
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