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I've seen director / VP-level folks at a public company point LLMs at a corporate product and essentially ask it "What deficiencies do you see here? Output to a Word document." Then forward the output to engineering management as a product task list. One person did this to the same product more than once in a couple week span without realizing it so there were multiple documents with conflicting issue lists floating around trying to be read and triaged. And the expectation is that this comprehensive analysis was done so easily, product fixes should be just as easy.


At this point you can abstract what you wrote to any kind of task. I'm seeing people generate multiple takes on one concrete topic, poop out all kinds of artifacts, and keep emitting them within and outside of the company.


I have to wonder if it's because of how many Enterprise customers they have who have standardized on Github Copilot and gotten it through the gauntlet of legal approvals etc.


This rings true to me as someone who's worked at a few large corps like this. A price hike does not change things when there is a mandate to use MS products over other vendors.


Bingo. Ghcp is the only allowed llm solution at our big well known semiconductor corp. It'll take years to get approval for anything else. We're stuck with it and will pay whatever price we have to.


That is exactly where I am.

We're putting other providers through the gauntlet. An M4 Studio or two running the latest Qwen3 or whatever counts for state of the art in open models is also looking a little more viable all the time.


They can be super complementary! Open weight models can be your everyday standard goto, and frontier models for the harder and bigger tasks.

Having some open weight deployment or vendor is also a good thing, because you may have domain specific tasks where you can get better results on domain specific problems with a quick finetune.

Unsloth makes it particularly easy. Open weight LLMs are incredibly powerful building blocks.


Was he in banking? For some reason I was under the impression he was a lawyer and partner in a major Seattle law firm.


namesilo has been decent for me



This is one area where I find ChatGPT to be quite decent.


FizzBuzz Enterprise Edition [1] is an oldie but a goodie worth a re-mention.

1. https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris...


The Issues in that repo are hilarious


>package com.seriouscompany.business.java.fizzbuzz.packagenamingpackage

>Issue #597 : It's written in java but doesn't support my blu-ray player


Someone close to me works with this guy, who was a total hero last year. Obviously, he had to go through all the treatments. https://www.nbcboston.com/news/local/aggressive-coyote-stran...


I have Starlink at my home located in a rural area where the only alternative is DSL at ~1.0MBPS average downlink. Using Starlink made it possible to actually do interactive work from the house without tethering to my spotty LTE service or traveling to a better location. My own experience is that the service has been quite reliable (often 12 hour stretches without an outage), but I do have unobstructed views of the sky. I do find that streaming audio/video can be glitchy and I usually have some kind of audio issues.


This is my experience (greater Raleigh, NC). It's people asking for referrals for painters or experiences with various Internet service providers. Or lost dogs; so many lost/found dogs.


I see dozens of people losing their dog/cat every day in my small pop area. How are so many people losing track of their pets? just an aside...


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