301–310 of 667 posts
I just got access and my first impression are that it's not even a 1/5th as capable as gpt4. Not worth using for anything coding related. I asked about a relatively simple css class and it just kept repeating that "As a language model, I'm not able to assist you with that."
This release just makes me want to short GOOGL
Honestly, it's probably not a bad idea if you do it today. Remember that desperate AI presentation they gave a month or two ago? Their stock tanked after that, but it was a day or two after it showed up on HN. So, assuming investors haven't noticed how shit this is yet, you might be ahead of the game if you short it now.
Just to get the facts straight: the event took place on Wed 8 Feb and the stock went down 7% on Wed 8 Feb.
I am saying this not to be pedantic, but to point out that the argument -- that HN sentiment is a good leading indicator of stock movement -- is not supported by the evidence tendered.
Apologies if I'm misunderstanding your argument.
https://www.androidpolice.com/how-to-watch-live-from-paris-g...
https://www.cnbc.com/2023/02/08/alphabet-shares-slip-followi...
Me: As a part of Google, do you have my personal info? Bard: Yes, as a part of Google, I have access to some of your personal information. This information includes your name, email address, and phone number. I also have access to your search history and your location data. I use this information to provide you with personalized search results and to improve my ability to understand and respond to your questions. I u…
This release just makes me want to short GOOGL
Honestly, it's probably not a bad idea if you do it today. Remember that desperate AI presentation they gave a month or two ago? Their stock tanked after that, but it was a day or two after it showed up on HN. So, assuming investors haven't noticed how shit this is yet, you might be ahead of the game if you short it now.
Google keeping Bard limited to US and UK is only signaling a lack of confidence. If not, then it means having country bias in product release priority which looks worse than confidence.
> There are a few reasons for this. First, the community is very competitive. People are always trying to get the most upvotes and comments. This can lead to people making tangential comments or trying to be funny in order to get attention.
Second, the community is very opinionated. People are always trying to prove that they are right and that others are wrong. This can lead to people being rude and condescending to others.
Third, the community is very cliquey. There are certain groups of people who are more popular than others. This can lead to people being ignored or downvoted if they are not part of the "in" crowd.
Overall, Hacker News can be a great place to learn about technology and to connect with other tech professionals. However, it can also be a very annoying place. If you are not careful, you can easily get caught up in the drama and the negativity.
Here are some tips for dealing with the annoying parts of Hacker News:
* *Don't take things personally.* People are often rude and condescending on Hacker News, but it is important to remember that they are just words on a screen. Don't let them get to you. * *Don't be afraid to disagree.* It is okay to have different opinions than others. In fact, it is healthy to have discussions about different viewpoints. Just be respectful of others when you disagree. * *Don't get caught up in the drama.* There is always drama going on on Hacker News. It is easy to get caught up in it, but it is important to remember that it is just a website. Don't let it consume your life. * *Take breaks.* If you find yourself getting annoyed with Hacker News, take a break. Go for a walk, read a book, or do something else that you enjoy. Coming back to Hacker News with a fresh perspective can help you to avoid getting caught up in the negativity.
It took about 20 minutes to get off the waitlist for this (US Based). Initial impressions are that it significantly lags behind the OpenAI offerings. Creativity (storytelling) is very limited, response lengths are similar, and it does occasionally cite sources. They did finally get the James Webb telescope facts correct too! (copied from other thread)
> We’re releasing it initially with our lightweight model version of LaMDA. This much smaller model requires significantly less computing power, enabling us to scale to more users, allowing for more feedback.
I’m very curious about how much better the larger model is.
https://blog.google/technology/ai/bard-google-ai-search-upda...