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I’m interested to see what strategy GCP will go with. Azure partnered with OpenAI and AWS partnered with HF. It seemed like from the Google blog post they are g
by faizshah 4y ago
I’m interested to see what strategy GCP will go with. Azure partnered with OpenAI and AWS partnered with HF. It seemed like from the Google blog post they are going to try to market their home grown AI tech through GCP but for many categories they have opted to partner or buy vendors to add more products to GCP.
- paxys 4y agoGoogle has enough homegrown AI tech that they don't really need partnerships or acquisitions. Despite OpenAI getting outsized media coverage, Google still has a miles-long lead in the general area. Most of the advancements that made today's generative models possible came out of Google Research and Google Brain. Their real problem at the moment is productization and marketing.
- _boffin_ 4y agoI keep wondering if we're in the midst of Xerox PARC 2.0, but instead of Xerox, it's Googl. Amazing products and ahead of its time, but can't / won't execute.
- runnerup 4y agoGiven Project Starline, this seems pretty accurate.
- _boffin_ 4y agothat... is just wild. stunning tech
- zarzavat 4y agoIt's also possible to be too early to market. I'd say Google has played it just right. They clearly have a better idea of the readiness of the tech than Microsoft, who hastily released Bing's LLM to muted ridicule. In terms of UI, ChatGPT is a glorified text box. The hard part is the basic research, which Google can grind away on in the background until the moment is right. The problem with current LLMs is that they are inaccurate and untrustworthy. If LLMs were search engines then ChatGPT is the Altavista or Ask Jeeves. Google wants to be the, well, Google - come in later with tech that actually works.
- philliphaydon 4y ago> who hastily released Bing's LLM to muted ridicule. Is it tho? I mean everyone is dying to try it. I’m beginning to feel like all this stuff was intentional to drum up free advertising. Linus Tech Tips picked it up on the Wan show and were blown away to some extent.
- oh_sigh 4y agoGoogle self driving car : Tesla self driving :: Google AI : OpenAI AI. Google is taking a very conservative approach, but their work is years ahead of groups getting far more press.
- tluyben2 4y ago> who hastily released Bing's LLM to muted ridicule …In the tech/hn echo chamber. People who have access that are not technical and that not try to trip it up seem to like it. Don’t think Bing has been used this much since its inception.
- riffic 4y agothey wish to be seen as today's bell labs
- GreedClarifies 4y agoBullshit. None of it was ever released. Until they actually release something and let the masses access their precious AI research there is no evidence they have anything at all. Epic, complete blunder by Google.
- dandiep 4y agoAlso, there's a huge difference between "it works for an ML benchmark" and "it works for real life use cases". OpenAI has done a phenomenal job with instruction tuned models, enabling fine tuning for any use case very very easily, and deploying it all at decent scale.
- rvnx 4y agoPretty sure that in some cases, AI researchers in some companies are like: "sorry we don't give training set nor source-code (detailed instructions how to reproduce the experiment) but it works perfectly and is revolutionary, now give me my PhD / funding to our company"
- cma 4y agoGoogle translate was updated to uss transformers I believe. And snippits uses some kind of AI summarization.
- nerdponx 4y agoIndeed, let's not forget that Google's BERT model was a very hot topic a few years ago, and their in-house researchers literally invented the basis of all modern language modeling, word2vec. Maybe they've been resting on their laurels, but with all the growing hype around GPT models (even before ChatGPT), I'd be surprised if nobody at Google was already working on this stuff.
- Vt71fcAqt7 4y agoThey literally invented transformers. "Open" AI is just productising google's research.
- 4y ago
- ethbr0 4y ago> Their real problem at the moment is productization Hasn't this always been a problem at Google? Post-Gmail, what have they successfully taken from raw tech to successful product on their own? Hangouts/Duo/Meet? Chrome? (Although that latter they leveraged marketing pretty heavily) They've had a helluva lot more success buying successful or nascent products, then developing the hell out of them into more successful products. E.g. YouTube, Android, Docs
- elefanten 4y agoNone of these really contradict your point… but they have some ongoing shots, some near hits and some successful non-monetized products: >Ongoing It’s not a successful product yet, but there’s a good case that they’ve got a strong lead in self-driving cars. Same with AI broadly, super recent sentiment notwithstanding… ongoing shot. >Near hits Stadia was a huge product marketing failure that proved the (very slowly) growing and succeeding cloud gaming model. >Non-monetized Go lang isn’t a “product” in the same sense, but it seems pretty successful. Similar deal with Kubernetes. Point is… productization + adoption from incubation is hard and they aren’t just totally flopping every time. Not sure any other big tech is doing way better?
- dandellion 4y agoThe three best examples are a product that hasn't been proven yet, one of the biggest flops in recent gaming history (I would say the most notorious since the Dreamcast, probably), and a non-commercial project? If anything that reinforces the grandparent's point, I think.
- yyyk 4y agoStadia didn't prove cloud gaming (there are many other efforts often predating Stadia), and its failure was much more a business strategy failure than a marketing failure.
- ren_engineer 4y agoStadia failed because even in the launch thread people said they wouldn't buy because they assumed it would be shut down in a few years, which became true. Google is in a self-fulling prophecy situation for most of their stuff because nobody will build on their stuff because of all the stuff they kill and they kill stuff because nobody will use it
- teaearlgraycold 4y agoGoogle’s Bard is worse than ChatGPT, though.
- ivalm 4y agoWhy do you think that?
- greatpostman 4y agoAn internal google employee told me this
- jjtheblunt 4y agogenuine question: isn't ChatGPT essentially applied huge markov models at google compute and dataset scale?
- ivalm 4y agoIt’s not a Markov model, but it is autorrgressive.
- jsemrau 4y agoSpecify lead please. I have been using SD, HF, ControlNet, GPT3 for a long while now and have never encountered any "must have" Google Product.
- greatpostman 4y agoThey aren’t miles ahead. That’s a myth. That’s why their stock dropped so much.
- nkozyra 4y ago> Google has enough homegrown AI tech that they don't really need partnerships or acquisitions. I don't doubt this, but there was a HUGE marketing/news angle MS+OpenAI and big name recognition in the space for Hugging Face. If it's about deep integration of LLM into products, I'm sure Google has been prioritizing that for awhile. If it's about making a splash with their own thing in their cloud offering, it lands a little softer than Microsoft's or AWS' news.
- janalsncm 4y agoYou can still use Huggingface in GCP. It’s an open source library with open source models. A lot of my Google Colab notebooks have been just messing around with HF models.
- ianhawes 4y agoI believe GCP cut deals with Cohere.
- slimsag 4y agoGoogle invested over $400mm in Anthropic; not sure how people missed this. That's >10% stake in an OpenAI competitor and a clear bet on something.
- Latour 4y agoAdditionally, for those not in the know, Anthropic was founded by some pretty senior ex-OpenAI folks, presumably carrying over a lot of the same culture and technology. It's as close to a copy-cat investment as one could get.
- spicyramen_ 4y ago[dead]
- gorbypark 4y agoAnthropic. https://www.ft.com/content/583ead66-467c-4bd5-84d0-ed5df7b5bf9c https://www.ft.com/content/583ead66-467c-4bd5-84d0-ed5df7b5b...