[krackers]

Assuming that DeepSeek continues to open-source, then we can assume that in the future there won't be any "secret sauce" in model architecture. Only data and training/serving infrastructure, and Google is in a good position with regard to both.

[jononor]

Google is also in a great position wrt distribution - to get users at scale, and attach to pre-existing revenue streams. Via Android, Gmail, Docs, Search - they have a lot of reach. YouTube as well, though fit there is maybe less obvious. Combined with the two factors you mention, and the size of their warchest - they are really excellently positioned.

[mark_l_watson]

Over the last nine months, I have periodically tested Gemini’s access to and effective use of data from Gmail/Docs/Calendar/Keep-notes, etc.

The improvement has been steady and impressive. The entire integration is becoming a product that I want to use.

[cootsnuck]

Yea, I just ended up trying out their Gemini stuff in Sheets and Slides. In Sheets it's pretty cool to have it just directly insert formulas for me. In Slides it's...okay...it was useful for me to rush to get a presentation done. But I can tell it's pretty bad compared to literally anyone who has enough time to just create a decent presentation. But I can also tell it will get better at least.

[tinodb]

Does that ever provide you with anything more than a lame summary? I mean Gemini models can do a lot, but I don’t have the feeling they’ve well integrated tbh.

[mattlondon]

YouTube is very well positioned - all these video generating models etc. I am sure they'll be loads of AI editors too

[vitaflo]

Good, maybe Youtube will finally recommend something to me I actually want to watch.

[HaZeust]

Personally, I've never actually heard this problem. Do you watch industry-specific videos in a non-anonymized browser session enough? Once you watch, like, 5 videos on topics you care about, the algorithm has no shortage of astute suggestions.

[collingreen]

I'm not the person you're replying to but in my experience the YouTube algorithm is quite bad at filling my wish for a variety of topics and tone at all levels. I feel like watching one or two clips from the same channel suddenly floods me with that going forward which is rarely what I want. Personally I have a core set of things I want lots of plus I'd really appreciate brief forays into new topics with similar creators or new creators with similar topics but this feels completely impossible for me on yt.

I think they've jumped the shark and need to give me more control because currently I actively avoid watching videos I think MIGHT be interesting because the risk is too high. This is a terrible position to put your users in both from a specific experience perspective but also in a "how they feel about your product" perspective.

[sciurus]

> I actively avoid watching videos I think MIGHT be interesting because the risk is too high

You can remove videos from your viewing history. I do this when I start watching something but the content turnes out to not be what I expected. It seems to prevent polluting my recommendations.

[soco]

The problem with that is, I have more than one interest. So any algorithm will make a salad out of that and never hit me with what I want. Even if this particular session was about topic X they will still fill it with proposals from yesterday's topic Y, or extrapolate from them to topic Z I don't care, and so on. Mostly useless either way.

[sharpshadow]

There videos which YouTube will very very rarely recommended you, especially if they are not monetised and let’s say critical or opposing the mainstream.

[fulafel]

Making your own hardware would seem to yield freedoms in model architectures as well since performance is closely related to how the model architecture fits the hardware.

[chermi]

Huh? I don't think it's that simple. As far as we know, everyone has some secret sauce. You're assuming deepseek will find all of that.

[spwa4]

... except that it still pretty much requires Nvidia hardware. Maybe not for edge inference, but even inference at scale (ie. say at companies, or governments) will still require it.