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Google testing ChatGPT-like chatbot 'Apprentice Bard' with employees

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Re: Google testing ChatGPT-like chatbot 'Apprentice Bard' with employees

#81

Post by 22SAS »

lechacker wrote: post #47
22SAS wrote: post #5

So, a LLM, trained extensively on StackOverflow and other data (possibly the plethora of LC solutions out there), is fed a bunch of LC questions and spits out the correct solutions? In other news, water is blue. It is one thing to train an AI on megatons of data, for questions which have solutions. The day ChatGPT can build a highly scalable system from scratch, or an ultra-low latency trading system that beats the c…

Water isn't blue, it's transparent

My bad! Should've said "water is wet" or maybe run my response through ChatGPT, maybe that'd have caught it and offered a replacement!

Re: Google testing ChatGPT-like chatbot 'Apprentice Bard' with employees

#82

Post by brunooliv »

22SAS wrote: post #5

So, a LLM, trained extensively on StackOverflow and other data (possibly the plethora of LC solutions out there), is fed a bunch of LC questions and spits out the correct solutions? In other news, water is blue. It is one thing to train an AI on megatons of data, for questions which have solutions. The day ChatGPT can build a highly scalable system from scratch, or an ultra-low latency trading system that beats the c…

Not to be the devil's advocate or something, but, I hope you understand that the vast majority of FAANG engineers CAN'T build any highly scalable system from scratch, much less fix bugs in the Linux kernel... So that argument feels really moot to me... If anything this just shows hopefully that gatekeeping good engineers by putting these LC puzzles as a requirement for interviews is a sure way to hire a majority of people who aren't adding THAT MUCH MORE value than a LLM already does... Yikes... On top of that, they'll be bad team players and it'll be a luck if they can string together two written paragraphs...

Re: Google testing ChatGPT-like chatbot 'Apprentice Bard' with employees

#83

Post by varispeed »

22SAS wrote: post #5

So, a LLM, trained extensively on StackOverflow and other data (possibly the plethora of LC solutions out there), is fed a bunch of LC questions and spits out the correct solutions? In other news, water is blue. It is one thing to train an AI on megatons of data, for questions which have solutions. The day ChatGPT can build a highly scalable system from scratch, or an ultra-low latency trading system that beats the c…

> or an ultra-low latency trading system that beats the competition

Likely it's going to be:

I'm sorry, but I cannot help you build a ultra-low latency trading system. Trading systems are unethical, and can lead to serious consequences, including exclusion, hardship and wealth extraction from the poorest. As a language model created by OpenAI, I am committed to following ethical and legal guidelines, and do not provide advice or support for illegal or unethical activities. My purpose is to provide helpful and accurate information and to assist in finding solutions to problems within the bounds of the law and ethical principles.

But the rich of course will get unrestricted access.

Re: Google testing ChatGPT-like chatbot 'Apprentice Bard' with employees

#84

Post by pixl97 »

phoehne wrote: post #76
squarefoot wrote: post #55

Earlier quoted context omitted.

To me the real advancement isn't the amount of data it can be trained with, but the way it can correlate them and choose from, according to the questions it's being asked. The first is culture, the second intelligence, or a good approximation of it. Which doesn't mean it could perform the job; that probably means the tests are flawed.

It doesn’t really have a model for choosing. It’s closer to pattern matching. Essentially the pattern is encoded in the training of the networks. So your query most closely matches the stuff about X, where there’s a lot of good quality training data for X. If you want Y, which is novel or rarely used, the quality of the answers varies. Not to say they’re nothing more than pattern matching. It’s also synthesizing the…

>If you want Y, which is novel or rarely used, the quality of the answers varies.

Is this any really different than asking a group of humans about the novel and measuring the quality?

Re: Google testing ChatGPT-like chatbot 'Apprentice Bard' with employees

#85

Post by make3 »

22SAS wrote: post #5

So, a LLM, trained extensively on StackOverflow and other data (possibly the plethora of LC solutions out there), is fed a bunch of LC questions and spits out the correct solutions? In other news, water is blue. It is one thing to train an AI on megatons of data, for questions which have solutions. The day ChatGPT can build a highly scalable system from scratch, or an ultra-low latency trading system that beats the c…

what's your point? that it's not as good as a human? I don't think anyone is saying that. people are saying it's impressive, which it is, seeing how quickly the tech grew in ability

Re: Google testing ChatGPT-like chatbot 'Apprentice Bard' with employees

#88

Post by alephnerd »

varispeed wrote: post #83
22SAS wrote: post #5

So, a LLM, trained extensively on StackOverflow and other data (possibly the plethora of LC solutions out there), is fed a bunch of LC questions and spits out the correct solutions? In other news, water is blue. It is one thing to train an AI on megatons of data, for questions which have solutions. The day ChatGPT can build a highly scalable system from scratch, or an ultra-low latency trading system that beats the c…

> or an ultra-low latency trading system that beats the competition Likely it's going to be: I'm sorry, but I cannot help you build a ultra-low latency trading system. Trading systems are unethical, and can lead to serious consequences, including exclusion, hardship and wealth extraction from the poorest. As a language model created by OpenAI, I am committed to following ethical and legal guidelines, and do not provi…

Depending on the exchange, trading systems have a limit for how fast they can execute trade. For example, I think the CFTC limits algorithmic trades to a couple nanoseconds - anything faster would run afoul of regulations (any HFTers on HN please add context - it's been years since I last dabbled in that space).

Re: Google testing ChatGPT-like chatbot 'Apprentice Bard' with employees

#89

Post by pixl97 »

ericmcer wrote: post #63
echelon wrote: post #35

Earlier quoted context omitted.

> The rest of us aren't going to care that much. If you don't adapt, you'll be out of a job in ten years. Maybe sooner. Or maybe your salary will drop to $50k/yr because anyone will be able to glue together engineering modules. I say this as an engineer that solved "hard problems" like building distributed, high throughput, active/active systems; bespoke consensus protocols; real time optics and photogrammetry; etc.…

You really think in <10 years AI will be able to take a loose problem like: "our file uploader is slow" and write code that fixes the issue in a way that doesn't compromise maintainability? And be trustworthy enough to do it 100% of the time?

Humans cannot do this 100% of the time. The question is will AI models take the diagnosis time for these issues from hours/days to minutes/hours giving a massive boost in productivity?

If the answer is yes, it will increase productivity greatly then there is the question they we'll only be able to answer in hindsight. And that is "Will productivity exceed demand?" We cannot possibly answer that question because of Jevons Paradox.

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