Because the homepage has this "interactive terminal" which is funny and nice (kudos for readline shortcut support) but also partially "broken", i.e. the blog post(s) and other links you see with "ls" are not clickable, at least on Firefox.
When alignment people write papers like "we told the model it had a private scratchpad where it can write it's thoughts, that no one can read, and then we looked at what it wrote" I always wonder what this will do to the next generation of models which include in their training sets this papers.
Also - the speed and quality improvements when having to redo homework lost to an undiscerning canine companion is also a corollary of this.
Perhaps the time it takes to 'redo' is a better measure than last mile - it's the entire effort, minus the initial solution-space exploration?
> but when it comes to Epstein Files and his friends, many of who are in office, they suddenly don't care. Leftists, are, at least as far as i can tell, very consistent in not liking child molesters.
This is totally ahistorical. This was not too long ago a "far right conspiracy" as the right was genuinely concerned about it, and it's only that Trump is in the firing line for Epstein that the left has jumped on it as a cause. Which is the opposite of a principled stance.
> Suddenly Erlang made it fun and programming became addictive.
I'm saying this with complete sincerity: WHAT IS IT THAT YOU PEOPLE SEE!? What is the fun? What are you addicted to? Typing and seeing the output? Solving a problem?
I feel like I am missing out on some amazing life altering experience when I see people state that. The same thing I have with the article - what does it mean to love a programming language?
In Haskell with `head (sort list)` the entire list does not have to be sorted, depending on the sort implementation. Everything is lazy, so sort can sort the list just enough to return the smallest element.
I have a fairly large code base that has been developed over a decade that deepwiki has indexed. The results are mixed but how they are mixed gives me some insight into deepwiki's usefulness.
The code base has a lot of documentation in the form of many individual text files. Each describe some isolated aspect of the code in dense, info-rich and not entirely easily consumable (by humans) detail. As numerous as these docs are, the code has many more aspects that lack explicit documentation. And there is a general lack of high-level documentation that tie each isolated doc into some cohesive whole.
I formed a few conclusions about the deepwiki-generated content: First, it is really good where it regurgitates information from the code docs while being rather bad or simply missing for aspects not covered by the provided docs. Second, deepwiki is so-so for providing a high layer of documentation that sort of ties things together. Third, it is highly biased about the importance of various aspects by their code docs coverage.
The lessons I take from this are: deepwiki does better ingesting narrative than code. I can spend less effort on polishing individual documentation (not worrying about how easy it is for humans to absorb). I should instead spend that effort to fill in gaps, both details and to provide higher-level layers of narrative to unify the detailed documentation. I don't need to spend effort on making that unification explicit via sectioning, linking, ordering, etc as one may expect for a "manual" with a table of contents.
In short, I can interpret deepwiki's failings as identifying gaps that need filling by humans while leaning on deepwiki (or similar) to provide polish and some gap putty.
I have to admit I still don't really know what thunderbolt even is. I think it's something that is done over USB-C, and requires hardware support on the CPU.
I'm guessing it's one search query + a one minute read away though. I just haven't.
Arc Raiders, and their previous game The Finals, uses AI in some capacity for Voice Acting - though they do still hire VA and make it explicit in their contract offer
>Some of the voice lines were created using generative artificial intelligence tools, using an original sample of voice lines from voice actors hired specifically with an AI-use contractual clause, similar to the studio's production process in The Finals.
You do have a point there. I did forget about the [-].
However, I read the comments in hopes they are interesting. If we have a culture where the "I don't know what this thing is"-type comment is popular, people will post those comments more and more. This leads other people to spend their time replying to it, instead of engaging with the content of the article. In other words, it distracts other commenters, who might otherwise have contributed something good.
Second, I think having low value comments is undesirable by itself. We could all start posting "First!" on articles, and everyone who hates that can simply minimize them. I think you can see why that would not be great. We can argue whether this is a low-value comment but I already did that in my original reply: it is not addressed to the article author (in this case they happened to show up but generally they don't) so the complaint doesn't lead to anything, and the comment complains about having to read about a concept they are not familiar with, but does the exact same thing itself.
I’m building an AI-powered fashion search engine that helps people find clothes that actually match their style, fit and price across 1000s of brands and millions of products
Most shoppers spend hours to find the rights product. We’re fixing that with intent-based search that understands descriptions, images and personal preferences.
We’ve hit 25K+ searches in 4 months, growing 50% MoM, and built our own scraping system that makes product data collection 100× cheaper than existing tools.
Still early, but live. Would love feedback on search quality and result relevance.
PS! There are some products out of stock, this is expected, fixing it right now.
>It's easier to make a car that doesn't require oil changes than it is to make every car owner learn to perform oil changes.
No, it's not. There's fairly low level physics and chemistry reasons you can't make a car that doesn't need oil changes. Oil changes could be about as difficult as swapping out toner cartridges if they cared to make it that way though.
Similar situation (in some sense, an entry level entrepreneur here)
Except, I have a decade plus experience. Yet find your situation relatable.
After graduating with an engineering degree from a not so bad college in India, all my job applications were going in an abysmal pit. Even the 18 call centers I applied to rejected me (despite being told of having reasonably good English language skills). What worked was relocating to a metropolitan town and literally going door to door in person and show up at companies and walk-ins, and I got an engineering job (btw, I'm at that exact stage now - will get to it later).
Few years later, went to US for MS, spent a year after graduating in applying for jobs - stopped counting applications after 2250th application. Didn't even get a single interview. Out of desperation, did a site-wide search for some niche enterprise software name I knew about on craigslist, landed a craigslist subdomain page for a town I hadn't heard of - got job interview and the job. Fast forward a few years later, I had been looking for a way to find a meaningful occupation to return to central India - spent all my vacations over the years looking for something that I could do. Never found it. So one fine day, I packed up my bags from a year old FAANG job, and came back. Since then, I've been building, demoing, pitching, improvising but haven't yet made an income - neither through my network back in the US, nor cold calling. So now, I'm on foot again, just showing up at companies and realizing: the local market is much different, their needs are different ; and in person presence is a huge catalyst in advancing sales cycle. In person communication is introducing me to signals and adapt my offerings. AI, if anything, has only helped be more productive, but I totally see how it would impact entry level engineering jobs - and I don't have any answers for that. Except, that increasing the surface area by in-person interactions may be an avenue to explore if you already haven't. Hanging out at coworking spaces, going to meetups where your potential "customers" would hang out etc. might be worth a try. For a such a well written article, I'd hope someone with the right opportunity may reach out to you. Good luck.
