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Please, show us how to train Alexa or BERT on a 486. That'll definitely win you the Turing and Gordon Bell prices, and probably the Peace Nobel price for all th

Please, show us how to train Alexa or BERT on a 486. That'll definitely win you the Turing and Gordon Bell prices, and probably the Peace Nobel price for all those power savings!

wegs 6y ago
Please show me a business (aside from Amazon, obviously) who needs Alexa. Most businesses need a word processor, a spreadsheet, and some kind of database for managing employees and inventory. A 486 does that just fine. Most businesses derive additional value from having more, but that's always an ROI calculation. ROI has two pieces: return, and investment. Basic business analytics (regressions, hard-coded rules, and similar) have high return on low investment. Successively complex models typically have exponentially-growing complexity in return for diminishing returns. At some point, there's a breakpoint, but that breakpoint varies for each business. If the goal is to limit GPGPU to businesses whose core value-add is ML (the ones building things like Alexa), NVidia has done an amazing job. If the goal is to have GPGPU as common as x86, NVidia has failed.
- fluffything 6y ago
  > Please show me a business (aside from Amazon, obviously) who needs Alexa. I'll bite. Have you ever been getting a haircut, and the hair dresser had to stop to pick up the phone to make an appointment? Have you ever go to actually pick up a pizza at a small pizzeria and noticed that from 4 employees, 3 are making pizzas, and one is 99% of their time on the phone? Every single business that you've ever used in your life would be better off with an Alexa that can handle the 99% most common user interactions. In fact, even small pizzerias and hair salons nowadays are using third-party online booking systems with chat bots. Larger companies are able to turn a 200 people call center into a 20 man operation by just using an Alexa to at least identify customers and resolve the most common questions.

Please, show us how to train Alexa or BERT on a 486. That'll definitely win you the Turing and Gordon Bell prices, and probably the Peace Nobel price for all those power savings!

wegs 6y ago

Please show me a business (aside from Amazon, obviously) who needs Alexa. Most businesses need a word processor, a spreadsheet, and some kind of database for managing employees and inventory. A 486 does that just fine. Most businesses derive additional value from having more, but that's always an ROI calculation. ROI has two pieces: return, and investment. Basic business analytics (regressions, hard-coded rules, and similar) have high return on low investment. Successively complex models typically have exponentially-growing complexity in return for diminishing returns. At some point, there's a breakpoint, but that breakpoint varies for each business. If the goal is to limit GPGPU to businesses whose core value-add is ML (the ones building things like Alexa), NVidia has done an amazing job. If the goal is to have GPGPU as common as x86, NVidia has failed.

fluffything 6y ago
> Please show me a business (aside from Amazon, obviously) who needs Alexa. I'll bite. Have you ever been getting a haircut, and the hair dresser had to stop to pick up the phone to make an appointment? Have you ever go to actually pick up a pizza at a small pizzeria and noticed that from 4 employees, 3 are making pizzas, and one is 99% of their time on the phone? Every single business that you've ever used in your life would be better off with an Alexa that can handle the 99% most common user interactions. In fact, even small pizzerias and hair salons nowadays are using third-party online booking systems with chat bots. Larger companies are able to turn a 200 people call center into a 20 man operation by just using an Alexa to at least identify customers and resolve the most common questions.