4 ms·

I have noticed in the past that companies that try to do many different products tend to fall behind the competitors that focus on just one product. Prior to M

I have noticed in the past that companies that try to do many different products tend to fall behind the competitors that focus on just one product. Prior to MS Office, there were companies that tried to create product suites that contained Word processors, spreadsheets, and so on. They were all very rudimentary compared to the market leaders in the category. It wasn't until Microsoft decided to buy the market leaders and package them as a suite that we got a great office suite. I suspect that's Barb. Google is big but it has many products to deal with and it is extremely hard to be a product leader in all. Not only that but search is its main focus. My suspicion is that Google's offering will get better only after it finds a startup they can buy that will give them the edge. Their big advantage is that they don't always have to produce what they need, they have the money to buy what they need to stay ahead.

razodactyl 3y ago
I would suspect this too but I know it's not the case. I've been writing my own LLM from the ground up (literally from random weights, not from any other models) and have been training it on publicly available data and even my highly inaccurate model is able to maintain coherence that Bard completely lacks. For example: Bard just seems to go on a completely unrelated tangent and throw map directions at me for no reason. Given that I'm just one person, how is it that I'm able to nudge my model to do anything useful and Bard has remained stagnant for the better half of a year? It makes me suspect they're up to something bigger :P
- Jensson 3y ago
  Did you train your model to not violate copyright and avoid politically charged statements and to not be biased against race or gender? Trying to make a model handle everything in a 'safe' manner makes the problem so much harder.

razodactyl 3y ago

I would suspect this too but I know it's not the case. I've been writing my own LLM from the ground up (literally from random weights, not from any other models) and have been training it on publicly available data and even my highly inaccurate model is able to maintain coherence that Bard completely lacks. For example: Bard just seems to go on a completely unrelated tangent and throw map directions at me for no reason. Given that I'm just one person, how is it that I'm able to nudge my model to do anything useful and Bard has remained stagnant for the better half of a year? It makes me suspect they're up to something bigger :P

Jensson 3y ago
Did you train your model to not violate copyright and avoid politically charged statements and to not be biased against race or gender? Trying to make a model handle everything in a 'safe' manner makes the problem so much harder.