I think the difference in demo style between OpenAI’s GPT-4o (yesterday) and this is interesting. Google’s videos feel more like a mixture of brand marketing and pandering to shareholders. OpenAI’s videos yesterday felt much more like a casual tech demo among colleagues. Hard to explain the exact differences that make me feel that way.
the astra video is exactly in the style of existing google ads. disembodied voice, POV camera. so we're desensitized to them. in contrast the openai videos all had engineers front and center, excited to show off their work.
not hard to explain... im sure theres more elements but this has to be the first principal component
I'm not trying to cancel anyone, it wasn't malicious, and it wasn't offensive. But it's definitely something, and not everyone's chill about it.
But it's not a problem because Google doesn't compete with OpenAI (IMO). Google competes with Microsoft which will add all the necessary polish to de-hornify the OpenAI stuff for the corporate customers.
Meanwhile the core OpenAI tech ultimately demos better and offers it's value proposition to a legion of startups better than Google.
In summary, if you're an engineer of building on top of a model, OpenAI seems better.
And if you're a CTO/CIO trying to pick a horse to sign an enterprise contract with, Google seems better.
How many different AI project names will Google come up with? Most other companies have versions or suites they kinda get behind and start giving them specifiers but Google keeps renaming and coming up with new names for each of their AI products
It sounds like they're doing the "we're an engineer-led company" thing of just releasing their products with the codenames instead of coming up with a marketing name for them.
You need to launch a “new” product to get promo. So you just wait until a team gets reorged, rebrand their work by pitching to some hapless VP, launch something half baked in time for I/O, get the promo, and move on to your next victim.
It's hard to tell with Google what's actually being released VS speculative demos. At first glance it all seems ahead of OpenAI but it's hard to tell how much of this is actually 'real' and will be in our hands.
I saw the Google I/O keynote today. What really bugs me is that Google has all this awesome technology, and they can't figure out a better example to showcase it other than the old "make a restaurant reservation"? I'm excited about the possibility of AGI but this is not earth-shattering.
Maybe I'm just lacking imagination, but I simply don't know what I'd use this for. I wanted to identify a plant the other day, but I really don't need a realtime answer, and I found what I was looking for by searching.
It’s a lot of hype. If they took the money spent on creating these ads and used it to actually get these products out and in users hands, we might actually have some competition in this space
Sundar just keeps throwing different AI to the wall and see what will stick. His leadership destiny is in layoffs and offshoring Google, not innovation.
There were a few other agent demos around 2017-2020ish that also were faked. It's poisoned the well for me at this point so I just have to wait and see
I have a feeling for the longest time that product management at Google is a mess. There seem to be different products doing about the same type of work with little to no cohesive experience between them. Gemini, Search and Astra come to my mind in this case; though they have shown advances in Gemini integration with search (even though gemini is still a separate app????)
This is very strange. I've been working with an AI assistant called Astra since GPT-3 came out. I told it to name itself, and the name it chose was Astra. Now this?
Google assistant would be the perfect name to cover everything since that's the idea, an assistant. Not sure why they have 1038474 names it's ridiculous
No, "great question!" No endless explanation of what Schrodinger's cat means, just a quick and concise answer. For systems we intend to use as assistants and not conversation partners, I think this is close to the ideal response length.
