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I’m not against piracy but the initial pitch made it seem like it’s more purely for trying to cast streams embedded in websites that you already are visiting and/or have access to, of which do not “allow” you to cast, or for whatever reason only work on a laptop and not on something like AirPlay. But the LLM-slop description of “random websites” in addition to the option for a TVDB API key confuse me as to what the actual focus is here.
I remember going from Java in IntelliJ straight to TypeScript at work for another project, and I recall how _slow_ everything was in the editor(s). I have been using TypeScript 7 RC and most of my complaints have gone away with regards to speed.
I have been eyeing what Taalas is doing [1] by making pure hardware models. The speed is absurd.
At $LARGE_ENTERPRISE_COMPANY, I've found that if you have:
1) A designer that uses Figma correctly (using well defined components / design systems) 2) A front-end framework as close to HTML / CSS as possible for the visuals (I have success with Web Components / Lit) with Figma MCP
The front-end is usually one-shot using frontier models. However in my experience, designers are all over the place with using Figma correctly.
Both NEM 2.0 and 3.0 have serious issues, but for different reasons. NEM 2.0 was basically a early adopter's rich person's subsidy that heavily distorted the market, and NEM 3.0 does not have nearly enough subsidies to justify the cost unless you pay cash up front for a large system. (For the record, I am on NEM 3.0 and got such a system).
At the end of the day, the best case scenario is large scale renewable / battery storage to bring costs down as much as possible, and for those of us who want battery backup / solar can choose to invest in it, but it shouldn't be "the" solution.
I don’t disagree that the expectations are higher, but token output hardly correlates to code output worthy of merging.
Ironically Trump may end up being the most pro green energy president at the end of all of this.
I'm currently in repos where the context window required is so large that the output is almost always "wrong" for the problem at hand. Quite a few people at my company burn through tokens this way, and it certainly isn't providing value to the company.
I'm in a large enterprise context--you have to use human reviewers if you don't want to end up like Github's status page. So much context exists outside of the code that the bots are either not provided or are far too large of contexts for current windows.
I disagree. The amount of slop I need to code review has only increased, and the quality of the models doesn’t seem to be helping.
It still takes a good engineer to filter out what is slop and what isn’t. Ultimately that human problem will still require somebody to say no.
This was definitely true for me, which is why I write everything acoustically and ensure the song is "good" before going in my later age. If I want a specific effect, I then google what pedals were used in a particular song or artist, then I try to recreate the chain, and then tinker with that on top.
Ultimately I spent so much of my time worrying about "what crazy expensive equipment should I buy" when I was younger and more into this stuff, and I should have simply just played my shitty instruments and recorded on my shitty equipment. That's on me, but I also find it empowering as an artist that I can clean up my recording in the way that replaces my need for expensive equipment while maintaining (in my humble opinion) a sense of authenticity of my performance. I agree there may be too many knobs, but finding the knobs that I want has never been easier and I would rather live in the now than in the past.
A lot of people thought the same thing with everything going from analog -> digital. Or heck, even learning an instrument when MIDI was first introduced.
Even before generative AI, there is a long-going debate in audio circles around simulated guitar amplifiers. The truth is, the simulations of them have gotten so insanely good that now one could simply purchase an all-in-one pedalboard and have basically all of guitar history at your toes.
My rule-of-thumb is this: "does this tool I'm using in particular take away from the authenticity of my performance or songwriting?" Example: I am very keen on performing vocals and guitar at the same time, and I don't have an expensive studio setup, and my office has background noise. I use these tools, and yes even some open source AI ones, 1) remove background noise of the individual tracks and 2) do a final master against a recording I want to target (using something like Matchering or similar [0]). It still sounds like me, my voice isn't perfect, my beat isn't consistent, but it sounds like I rented some studio space. So for me it was a cost-saving measure.
Not to be "that guy that just says to use LLMs", but writing out how you want these things to work on your computer to something like Claude, or heck even Google AI mode without logging in with an account, allows you to describe your ideal "home server as a docker-compose.yml file" and for me it did a damn fine job doing it. I had done this all with a previous server manually, and with a new server I simply had provided that I was a Fedora Linux box, with these hard drives, with these containers, and these are the locations of the files, etc. It worked the first try.
This wasn't something that I didn't want to learn myself, but I have so little time with children and gardening on top of my super busy work at this point that I didn't have time to simply google everything. I did know enough about it beforehand to provide a general idea of what I want, so YMMV.
This is how I use my Canon t3i. Once in awhile everything will align perfectly, require very little editing and I feel a huge sense of accomplishment.
I'm at a large enterprise outfit, and "shoving things in your face" has been a problem with large software suites for a long time, long before the AI craze. I keep telling my skip level leadership that we need more User-Experience "mob goons" that have authority across product domains to (metaphorically) beat the living daylight out of bad "PM-brained" ideas.
My work 64GB M1 Max Macbook Pro is consistently out of memory. (To be fair my $LARGE_ENTERPRISE_EMPLOYER reserves about half of it to very bad Big Brother daemons and applications I have no control over)
I lived a block away from a hydrogen fuel station in Oakland, and in the ten years I was there I maybe saw two different Mirais use it.
I have only purchased Toyota vehicles (currently in the market for an EV) and it baffles me that Dodge created a Charger in EV form and Toyota hasn’t made even an EV Corolla or Camry.
Yes, while I use Fedora on my laptop, I also know Fedora is generally not a good option for a server.
Why is Fedora not considered good for a server?
I generally agree with you. As a recent father with a toddler, and two parents with a full time job, I’ve found that the only way I can make time for those personal side projects is to use AI to do most of the bootstrapping, and then do the final tweaks on my own. Most of this is around home automation, managing my Linux ISO server, among other things. But it certainly would be more fun and rewarding if I did it all myself.
I’m at $LARGE_ENTERPRISE_SAAS and I agree. There is a mass psychosis going on around what these LLM tools (which I use daily) are capable of *at scale*. The amount of business processes and tasks these software suites can, and must perform at near 100% correctness every time is massive, across an insane number of domains, accounting for an insane number of laws, countries, languages, browser configurations, business requests, legal teams. The list goes on, and while you can bootstrap a front end that appears to do 80% of a large dinosaur competitor like ours, the reality is it can’t, and the context windows to get there are in the orders of magnitude larger than they are today.
The weird part is that people at our company also fail to see this. “This vibe coder is going to recreate 20+ years of code, use cases, business processes and integrations for thousands of companies across hundreds of domains!” is uttered every day and just simply isn’t true.
Now that you mention it, maybe I'm thinking more of the dual analog sticks than the shoulders. But yeah, Gamecube at least had a Z trigger in addition to the shoulders.
I haven't read much into it, but The Simpsons to me became terrible around the same time Family Guy came out. I don't know if trying to be like Family Guy made the show worse, or if the type of humor The Simpsons championed for so long became unfashionable.
A lot of people say Family Guy copied the Simpsons, but in reality I actually found that the Simpsons tried to copy Family Guy's style of humor and did a very terrible job at it.
Looking back and playing my Dreamcast again, I also believe the lack of dual shoulders (only one L and R) hurt because some games simply couldn’t be easily played with the standard controller (and not everyone is buying the keyboard and mouse)
If anything Microsoft will give up their advantage by making Windows 11 a UX dumpster fire. If Windows 11 had an official way to turn off all of the garbage and opt out of their monopolistic PM-brained “features” a lot of us who switched to Linux probably wouldn’t have happened.
I’m not from Europe but those sentiments I think are changing with the recent intensity and frequency of heat waves.
Even cheaper than SUVs are used minivans. My 2005 Honda Odyssey was an amazing “truck” with a good amount of towing capacity for most cases.
I run quite a few services with a used Dell Wyse 5070 thin client PC from 2018 with 4GB of ram.
I actually find that Quake’s running speed is still quite fast by modern standards.
I can vouch for this as someone who works in a 1.6 million line codebase, where there are constant deviations and inconsistent patterns. LLMs have been almost completely useless on it other than for small functions or files.