191–200 of 268 posts
Someone pressuring to do something at work gives off creep vibes. Is that in the contract to use AI tools? If not, then what are they on about.
"someone pressuring you to do something at work" describes pretty much all jobs Very very few jobs in the US give you a contract.
tokenmaxxing is silly, but if a developer or manager NEVER uses AI then I do think that's cause for concern as it shows a genuine lack of curiosity... perhaps tokenflooring makes more sense than tokenmaxxing
Seems to be a clear case of Goodhart's Law that states that "when a measure becomes a target, it ceases to be a good measure."
Earlier quoted context omitted.
> Not using AI at this point is a lot like not using CAD as an architect. Does CAD software regularly generate an incorrect design that results in a catastrophic failure of the building?
I have never pushed incorrect code that results in catastrophic failure due to AI, are you sure you're using the tool correctly? If you didn't know what you were doing with CAD software, you could absolutely generate incorrect designs.
This reads more like it's a single employees gripe than a real thing that's happening. They're not using the metrics in performance reviews, and it's a new AI tool that AWS probably wants legitimate usage data out of. That said, if you can't figure out how to use AI in a software job you should look into it. Not using AI at this point is a lot like not using CAD as an architect.
>Not using AI at this point is a lot like not using CAD as an architect. You should have asked AI to come up with a better analogy.
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Human nature? In the early nineties, it was common for experienced electrical engineers to keep on using schematic entry digital design and look down on RTL and synthesis tools, despite that fact the latter was already way more productive. At some point, management had to put their foot down and force everyone to switch to using synthesis. It's not unreasonable to assume that many people are set in their ways and unw…
> It's not unreasonable to assume that many people are set in their ways and unwilling to change their behavior without a bit of a push. You include those only in second round along with guidelines and recommendations on how to use it effectively.
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Thanks for the inside insight. I'm surprised how few comments are written with the prior that Amazon managers aren't stupid or uninformed about how incentives work. My guess would be that someone created the leaderboard without a lot of consultation with managers, and that some employees feel a competitive urge to try to "win" the leaderboard by burning tokens.
Your comment is the equivalent of stating, that Jeff Bezos and Andy Jassy, do not really know their employees are carrying around urine bottles.
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For a small case, a colleague took a screenshot of waves in the waveform viewer and pasted it into the AI tool. It worked. But for large cases, use tools to extract all interfaces from the waveform file and save it as a text file, or add $display statements in the Verilog itself to dump the transactions. A SOTA LLM will eat it up. You point it to the RTL, a log file with hundreds of thousands of lines, and give it a…
This is why I asked: >And why not take the alternative approach of identifying the subset of people who have indeed found solid uses and spread their best practices around? A bottom-up approach has a far better chance of finding those particularly good use cases, and if you lean on the people how found those fits, they're more persuasive than top-down edicts. They actually know what they're talking about. If the poin…
Earlier quoted context omitted.
For a small case, a colleague took a screenshot of waves in the waveform viewer and pasted it into the AI tool. It worked. But for large cases, use tools to extract all interfaces from the waveform file and save it as a text file, or add $display statements in the Verilog itself to dump the transactions. A SOTA LLM will eat it up. You point it to the RTL, a log file with hundreds of thousands of lines, and give it a…
This is why I asked: >And why not take the alternative approach of identifying the subset of people who have indeed found solid uses and spread their best practices around? A bottom-up approach has a far better chance of finding those particularly good use cases, and if you lean on the people how found those fits, they're more persuasive than top-down edicts. They actually know what they're talking about. If the poin…