"Despite $30–40 billion in enterprise investment into GenAI, this report uncovers a surprising result in that 95% of organizations are getting zero return. [...] The core barrier to scaling is not infrastructure, regulation, or talent. It is learning. Most GenAI systems do not retain feedback, adapt to context, or improve over time."
Readit Newspavelboyko commented on State of AI in Business 2025 [pdf] nanda.media.mit.edu/ai_re... · Posted by u/candiddevmike
Thinking about giving up on my speech accessibility project (https://BeUnderstoodApp.com) because once again I built the MVP but gaining customers is so draining and difficult for me that I consider moving away and focus on contributing to some major open source project instead
This is the best thing I discovered in this thread! Please do not give up on this. The idea closely reminded me of Ello (https://www.ycombinator.com/companies/ello), which was started with custom speech-to-text models trained to understand kids. You're doing a similar thing but for an even more underserved niche. This thing could be life-changing if you manage to navigate marketing in the niche.
pavelboyko commented on GitHub cuts AI deals with Google, Anthropic bloomberg.com/news/articl... · Posted by u/jbredeche
I mentored junior SWE and CS students for years, and now using Claude as a coding assistant feels very similar. Yesterday, it suggested implementing a JSON parser from scratch in C to avoid a dependency -- and, unsurprisingly, the code didn’t work. Two main differences stand out: 1) the LLM doesn’t learn from corrections (at least not directly), and 2) the feedback loop is seconds instead of days. This speed is so convenient that it makes hiring junior SWEs seem almost pointless, though I sometimes wonder where we’ll find mid-level and senior developers tomorrow if we stop hiring juniors today.
pavelboyko commented on Show HN: AI dub tool I made to watch foreign language videos with my 7-year-old speakz.ai... · Posted by u/leobg
Please consider adding Simplified English as an output language option, preferably with a level, e.g., A2, B1, etc. This way, I can adjust the language complexity to my kids' level and then gradually remove the crutches as they improve in English.
pavelboyko commented on Show HN: A simple ChatGPT prompt builder mitenmit.github.io/gpt/... · Posted by u/mitenmit
I'm curious, are you all still writing custom prompts regularly?
I was deeply involved in prompt engineering and writing custom prompts because they yielded significantly better results.
However it became tedious especially since each update seemed to alter the way to effectively direct ChatGPT’s attention.
Nowadays I occasionally use a custom ChatGPT but I mostly stick with stock ChatGPT.
I feel the difference in quality has diminished.
The results are sufficiently good and more importantly the response time with larger prompts has increased so much that I prefer quicker ‘good enough’ responses over slower superior ones.
It’s easier to ask a follow-up question if the initial result isn’t quite there yet rather than striving for a perfect response in a single attempt
I have the same experience. I'm sure they are constantly finetuning the model on real user chats, and it is starting to understand low-effort "on the go" prompts better and better.
pavelboyko commented on Anki – Powerful, intelligent flash cards apps.ankiweb.net/... · Posted by u/bcg361
Spaced repetition, especially when using tools like Anki, is effective for memorizing facts. However, memorization represents the most basic level of learning objectives, see e.g. [1] and [2]. Are there any recommended tools for practicing more advanced levels of knowledge, such as relational analysis, synthesis, and critical evaluation?
[1] https://en.m.wikipedia.org/wiki/Bloom%27s_taxonomy
[2] https://en.m.wikipedia.org/wiki/Structure_of_observed_learni...
pavelboyko commented on Show HN: Anki/Duolingo-like app using educational YouTube videos platoedu.org... · Posted by u/kirill5pol
Looks great! On a related note, I developed a similar free tool [1] designed for K12 teachers, primary focusing on curation and discovery of educational videos for classroom use.
pavelboyko commented on If the Moon Were Only 1 Pixel (2014) joshworth.com/dev/pixelsp... · Posted by u/matesz
That everything is so empty is the aspect of the universe that I find most surprising.
This also holds for small things like atoms. They are mostly empty space, too. And for bigger things like galaxies.
Most other aspects seem to be "good" choices. Like limiting the speed of things. The way it is limited (as described by special relativity) is even really elegant. The uncertainty as described by quantum theory and how it is coupled to the observer is downright cool. I often think "Yes, if I made a universe from scratch, this seems like a nice choice to go with".
But that everything is so empty? I would not have made that choice, I think.
You?
Well, if I want my universe to be manageable (don't ask me why), introducing the hierarchy of scales from the beginning is a natural solution.
This reminds me of a story that an old professor of theoretical physics told me. In the early nineties, he left the former Soviet Union for the United States to teach physics at one of the top universities. There he encountered the fact that American students were fantastically good at solving all his standard problems for integrals. It quickly became clear that the students were using the then-new program for symbolic calculations, Mathematica. As a result, our professor also mastered Mathematica and spent half the night finding such integrals that it still could not calculate for assignments.
I use Copilot every day and I can assure you it makes a lot of mistakes. I think that, at least in the short term, CS teachers will still find assignments where it makes mistakes.