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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

#201

Post by margorczynski »

brunooliv wrote: post #82
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 p…

I agree, people in general overestimate the skills and input of your average developer where many (even in FAANG) are simply not capable of creating anything more than some simple CRUD or tooling script without explicit guidance. And being good or very good with algorithms and estimating big-O complexity doesn't make you (it can help) a good software engineer.

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

#202

Post by soulofmischief »

fdgsdfogijq wrote: post #131
soulofmischief wrote: post #103

Earlier quoted context omitted.

Learning about these things allows you to think differently and transform incoming information in more novel and well-adapted ways. You can't ask ChatGPT about things you don't know to ask about, and when you are able to use this tech on the fly through neural chip AR interfaces, everything is going to be totally fucked anyway and human relationships will look nothing like they do now.

Yeah its coming, improvements in these language models coupled with convincing AR will change the world. A full conversation with a computer that might be as engaging as with a human

Ha, well I totally agree, this is a coming zeitgeist and at my company this is exactly what we are building.

A WebXR-enabled playground for neural models and people to coexist, collaborate and form relationships. Virtual embodied AI who can take the same actions as players. My goal is to make them indifferentiable to the casual eye, and to create a working economy and camaraderie between AI and players. AGI might be a long way off, but we can already build increasingly fun experiences today as the cost of compute trends to zero.

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

#203

Post by ioseph »

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…

It's definitely not if but when. I'm sure radio engineers felt the same way until evolved antenna became a thing.

https://en.m.wikipedia.org/wiki/Evolved_antenna

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

#205

Post by ThrowawayR2 »

pixl97 wrote: post #97
WheelsAtLarge wrote: post #62

I think tests should be easy for ChatGPT to pass. It has been trained on data that has the answers and it's good at getting the data. I'm starting to doubt its long term usefulness since it does not seem to have good decision making abilities and even the slightest bit of cognitive ability. I suspect the current crop of AIs will find very specific functions and hit a hard stop. They will change how we function but we…

Why are you making these assumptions? Do you believe that human intelligence is based on something ethereal that cannot be recreated by machines, and if so, why?

LLMs are statistical models. All it does is guess word sequences in response to prompts, like a 'roided out version of autocomplete. (This is why it hallucinates imaginary facts.) It has no ability to conceptualize or reason nor is there any credible proposal for a path forward to graft reasoning onto it.

The training data can be tweaked and more compute hours can be thrown at LLMs until it no longer makes financial sense to do so and then, as the OP said, it will hit a hard stop.

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

#206

Post by paulclinger »

WheelsAtLarge wrote: post #200
skellera wrote: post #134

Earlier quoted context omitted.

Doesn’t have to replace an SWE. 10x-ing the ability of 1 engineer is a good enough win. Soon that will be 20-100x. Feels odd to dismiss such a huge breakthrough by saying it’s still not as good as the pinnacle of AI (general AI). Just because the Apple 2 wasn’t a home super computer, didn’t make it less revolutionary.

True but it's not thinking. It's not smart it's a tool for programers to be more productive. Right now it has more possibilities than real results. We'll have to see. The biggest issue to me is that you can't trust the results. You always have to double check the them. I know it's mainly beta but I need to see more to get a better judgement.

The car is still useful even if you're the one driving it and responsible for selecting where to go and how to get there.

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

#208

Post by margorczynski »

alephnerd wrote: post #65
klyrs wrote: post #59

Earlier quoted context omitted.

To be fair to the people that I hear that from, they're essentially complaining about the worst part of their job. They're active participants in those meetings, they are genuinely thinking about the complexities of the mismatch between what management asks for and what their ICs can do, etc. I see their value. But the awful truth is that a $10k/project/yr license for PMaaS software will be very appealing to executiv…

And as a Product Manager, I'd support that. Most PMs I see now in the industry are glorified Business Analysts who aren't providing value for the amount of money spent on them. But that's also true for a lot of SWEs and any role. Honestly, the tech industry just got very fat the past 5-7 years and we're just starting to see a correction. edit with additional context: Writing Jira tickets and making bullshit Powerpoin…

> Writing Jira tickets and making bullshit Powerpoints with graphs and metrics is to PMs as writing Unit Tests are to SWEs. It's work you need to get done, but it has very marginal value.

Don't want to be rude but I don't think you know what you're talking about. And this is coming from a person who most certainly doesn't like sitting on writing Unit Tests.

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

#209

Post by brailsafe »

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…

"Please write a dismissal of yourself with the tone and attitude of a stereotypical linux contributor"

I mean, maybe I'm a trash engineer as you'd put it, but I've been having fun with it. Maybe you could ask it to write comments in the tone of someone who doesn't have an inflated sense of superiority ;)

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

#210

Post by martyvis »

Shared a beer or two with machinist friend yesterday. It blew us away that given a description of a block of steel and how we wanted to process it, it would write generic G-Code (commands for a computerised machine tool) that were feasible, but also would give explanations for the purpose of each command. You could then ask it to adjust the design. We asked it write a poem about G-code and sharing a beer and provided a pretty nice "techbro" moment describing the love of seeing beauty in design and making things.

At home I later got it to write decent sample router and firewall configuration (for my dayjob). Chatted with it about career prospects in the future, and had it write a pretty funny joke :-

  Me: Can you write a joke about how token bus doesn't have wheels?

  ChatGPT: Sure, here's one:

  Why did the Token Bus cross the network?
  Because it didn't have any wheels to take it for a spin!
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