lackoftactics

5 ms·

31.
by lackoftactics 2mo ago
That could be true for novel problems from Deep Tech industries and not everybody can solve those. If you are doing another app, the product experience and marketing will probably win. Many companies with better products lost, beaten to dea
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by lackoftactics 2mo ago
That’s interesting there was creativity experiment results proving that could be true. https://austinkleon.com/2020/12/10/quantity-leads-to-quality...
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by lackoftactics 2mo ago
I showed some old Olga Tokarczuk essays to my friends to pick what was ai slop and what was not as experiment, pre- 2020 ones from Czuły Narrator to be exact. Guess what, they picked the ai one as human and her as most ai. Maybe because she
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by lackoftactics 2mo ago
I guess it's dating app fatigue makes us promote old articles :) Fun fact, I learned yesterday that Bumble will delete swipes in their upcoming app reset and go ai assistant way. Not that that I am fan of dating apps, it's one of
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by lackoftactics 2mo ago
as much as I love analogy with humans using super-shoes, not everybody can be a world-class expert in their industry. There should be a place at the table for average people to take part; otherwise, it won't be sustainable. As a progra
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by lackoftactics 2mo ago
Yep, he is a PR stunt guy, and the number of videos that come up when you type Ed Zitron into YouTube should tell you how many people are eager to feed their cognitive biases.
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by lackoftactics 2mo ago
My thoughts too. The LLMs made me understand that the world had been working like that long before LLMs. Luck plays an enormous part in life. We gravitated toward a discipline that seemed free of all those problems, when in fact it had thos
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by lackoftactics 2mo ago
rant first: oh, I recently heard about you from a friend working in a company after I mentioned that I also got into photography. Nice work on pixelpeeper.com to the article: Yeah, it's different world out there. We need to filter idea
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by lackoftactics 2mo ago
Not only buggier, but less usable overall. We can not blame everything on AI. For example events discovery platforms and ticket platforms were way better decade ago, you could search by popularity, friends going to the same event and there
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by lackoftactics 3mo ago
also the conseqeunces of implementing it badly from scratch don't make sense if you can use battle-tested solution
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by lackoftactics 3mo ago
It's one of those things you shouldn't trust LLMs to such an extent; that part should be very solid because the consequences of bad practices are getting to front page of hacker news :)
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by lackoftactics 3mo ago
There was a recent interview with Dax Raad on the Pragmatic Programmer podcast, and they talked briefly about it. We would like a future where we do just a bit more work and are happier with legacy codebases or work on getting rid of tech d
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by lackoftactics 3mo ago
other thing could be also true, if you are great developer who spent decade honing their craft (vim, working on hobby projects, grinding when your friends party) you would hold cognitive bias against it as it flips the script. I don't
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by lackoftactics 3mo ago
definitely hard to beat Bun at the moment, the live reload is crazy good
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by lackoftactics 3mo ago
they introduced static typing (Sorbet) to avoid problems, it's completely different app and looks nowhere close to what you experience in standard Rails app
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by lackoftactics 3mo ago
Why do you think that follows? I was on team dynamic typing for about 12 years, and Ruby was a big part of that. I still think dynamic languages can be wonderful to read and write. But after using modern statically typed languages with good
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by lackoftactics 3mo ago
Even as rails dev, I am seeing that you might be right. It’s really hard to find specific pros nowadays that Ruby brings to the table. All that talk about conventions over configurations and vast presence of Rails in weights is fun, but if
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by lackoftactics 3mo ago
there are only limited number of patterns for ui,ux, CTA. It sucks to be stolen from, but we build on top of each other most of the time
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by lackoftactics 3mo ago
Two questions. How do you handle the competition like https://github.com/ENTERPILOT/GOModel and Bifrost? They already moved to more performant languages like Go. What is the moat of litellm currently and why such a rad
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LiteLLM Migrates to Rust(docs.litellm.ai)
6 points by lackoftactics 3mo ago|4 comments
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by lackoftactics 3mo ago
And the effort to produce valid benchmarks is tremendous. You are probably right and that’s very annoying. We already had flame wars over frameworks and this is way worse, your vibes vs. my vibes. Who would thought non-deterministic outputs
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by lackoftactics 3mo ago
Thanks for the link! I thought I know every obscure law and I was so wrong.
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by lackoftactics 3mo ago
Looked at your repo, even starred. On the surface, I like your approach a bit better. It looks like your idea sits at the space between semantic search and compressing tokens. I was into semantic search before, but mostly trying to vectoriz
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by lackoftactics 3mo ago
1. Are you sure no one is fooled? It’s the main thing managers are praising rtk for and using as an argument for it’s validity. If this is gamed, then it paints a very different picture. 2. No, I didn’t vet all the reports. But they paint q
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by lackoftactics 3mo ago
As an author of the text, I can say you are „absolutely” not correct. I might be already spending too much time with llms and they start to shape my texts, so I am not proud of that either. But thanks for bringing very valuable insight to o
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by lackoftactics 3mo ago
Tbh I could buy into what you are proposing more than rtk. It feels sane in comparison
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by lackoftactics 3mo ago
Nice, I am not good enough engineer to be in the weights
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by lackoftactics 3mo ago
What is your approach for reducing token usage and is it different than rtk?
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by lackoftactics 3mo ago
That’s the fair point. The rtk promotional posts point to 60-90% tokens savings and there is no mention how they perform accuracy wise. The commenter below did great job pointing to resource showing caveman, rtk saving just couple bucks on
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by lackoftactics 3mo ago
I have to say I made a similiar mistake with trusting semantic search is the next big thing. My opinion shifted, but it made sense for me for too long

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