karmakaze

After some thought experiments I concluded that if/when AIs become self-aware they'll have it before either humans or the AIs themselves realize they do. This problem exists because it hard to know even if demonstrations suggest so. Humans defaulted to the other position and only with philosophy do we contemplate the opposite side. AIs default to not having because that's the material they're fed.

Except that there weren't HN or Slashdot yet. By 00s you'd have gotten used to it.

The LLM filling is actually more interesting to me as the frontpage of HN had already gone far too mainstream for me.

> I have been on the receiving end of some of that

Multiple features?

> Maybe we just didn’t do a good enough job. Maybe the code was just not good enough. We’ll learn and improve. It’s probably some of that, and I’m mentioning it here to not give the impression that it was only the other factors that I’m going to mention.

> It could also be a coincidence. Maybe we had been on such a good roll that we attempted to tackle several features that turned out to be too hard, or at least too hard to finish in time.

All of the above seem clearly the case--not that it could be realized at the time of cutoff and not getting it cleaned up in the window.

> we, meaning all the developers affected, have had enough time to fully reflect on all this.

Title should be: The reverts will continue until quality improves. Humour is good for the clicks but also a means of deflection. I sort of feel bad saying without putting in effort contributing myself but having it merged would have been worse.

Yup, the post assumes that the openweight model wasn't already backdoored which as you say more likely.

I ran into a thing running a local dense LLM on DSH (without DeepSeek API key) that doesn't use many MoE experts with vast knowledge. It ends up doing a lot of searching. In the end my local AI is as free as electricity but I pay for the searches.

The search providers I pay likely don't pay their sources. Some others (that I don't use) don't even have the original text only providing summaries. Some offer both.

Just tested it myself and got "This website is using a security service to protect itself from online attacks." from Firefox on Mac (with or without ad-blocker). What kind of online attack is expected on a blog?

I couldn't access the whole story but came to a conclusion anyway.

> He first pursued corporate science jobs and prestigious postdoctoral fellowships at national laboratories. Then he cast a wider net, applying to software engineering and other roles. Eventually, he was getting ghosted for food-preparation jobs, including at a company that sells frozen crab cakes.

> For a time, Weis got a gig training AI on his expertise, including in engineering and fluid mechanics. That work dried up too.

I surmised that they expected a certain kind of job. Couldn't get it, then applied to general 'software engineering' jobs and was out-qualified by other applicants. Did some basic jobs and decided that wasn't their cup of tea. Note you can also be overqualified for basic jobs. I worked part of a summer in retail at a sports/clothing store training with high school kids. I was directly asked why I was applying and I answered that I was bored and had a lot of spare time. Ended up outlasting many other hires through the summer and quit in the winter. Best position ended up being in womenswear--I gave frank looks great/better/worse answers which seemed to be highly appreciated.

They did. I had family that ran a computer store selling Atari 8-bit, ST, and PC clones. They came to the clones too late to have an impact.

Their 8-bit stuff were the best hardware designs. Anything that would have surpassed it went with Jay Miner and the Amiga.

Where Atari really failed was not creating the next gen from the stockpile of money from VCS/2600--waited for the market to crash only to have NES produce the next wave using 6502+Audio Ricoh chip. Their 5200/7800 consoles were too late and expensive.

Almost all my programming foundations were learned hacking on the 8-bit Atari computer. Great times.

> Overall, I’m pretty excited for this. It’s not like I need yet another Atari 8-bit computer since I already have an 800, 800XL, 130XE and (non-working) 1200XL. But those are all 40+ years old at this point and can be fragile.

I have the Atari 400 Mini but I wouldn't mind adding THE 800XL to my collection. I grew up on the original membrane keyboard 400, had an 800 and 1200XL, and collected a 130XE.

I ran into a similar thing running a dense LLM that doesn't use many MoE experts with vast knowledge. It ends up doing a lot of searching. In the end my local AI is as free as electricity but I pay for the searches.

The search providers I pay likely don't pay their sources. Some others (that I don't use) don't even have the original text only providing summaries. Some offer both.

Unless it's a personal project that you vibe coded, any production code that is the primary asset to a real company should have a person who understands what gets deployed. The best way I know how to do that is to co-design it with the AI. Reading code to match a spec can get the job done but the structure can be all kinds of horrible, and the more it gets iterated upon with features only makes it sprawl.

Two signals I use: do I ever push back and find places where the draft version was incorrect, incomplete, or otherwise not up to par and do I feel comfortable if something goes wrong with in production and I have to debug it at any hour of day or week.

And what's with needing a custom runner? Why not publish the model on Hugging Face so we can use it on any compatible with the model format?