mfld

Never trust a statistic you haven't sneaked into the training corpus yourself.

My hunch is that improving those proofs specifically might be a similar endeavour as improving a large vibe coded app.

Great idea! During my time as a researcher, I heavily used org-babel. I used it to put code for data wrangling, plots, and notes into a single document. The notes would often contain formulas to describe what was done. I would regularly export that to PDF using pdflatex to send it to collaborators. Maybe this is an avenue worth considering for Ledge.

> For now, this is mostly a story about how AI can be used to parse existing data to discover new biology (which is fantastic!).

I'd like to expand that: in my view, this is also a story of how agentic AI systems can come up with bioinformatics strategies to discover novel features. One would think such a task would be the ideal domain of the genome language models, which have learned the structure and functional relationships of DNA/RNA sequences. The agents instead relied on classical bioinformatics methods such as HMMs to make their discovery.

Note: I could not find the Supplementary Note 1 that was supposed to describe how exactly agents came to their solution, but I assume it was autonomous.

Not tested this myself, but there are ways to improve markdown/org-mode interop, like in https://youtu.be/RJqRwlVvB3E

What would be a typical size of the search index, let's say after 5 years of intense browsing?

Remember when Google acquired YouTube for $1.6B in 2006? That amount seemed ridiculous at the time. Its now peanuts compared to YouTube's yearly revenue.

Very interesting project! I can imagine usefulness even beyond the intended use case, namely in joining the information from multiple large genomics studies. The sharing and access of such data becomes increasingly difficult, and by this approach one could increase the effective sample size while keeping the data private.

YSeq, TellMeGen - or reaching out to local sequencing labs

Very cool! Looking forward to try out the xref and markdown features. The latter becomes increasingly important since the developer community at large seems to disagree with org-mode being the superior syntax...

Maybe for marketplace articles shipped from outside the EU. It's not legal, so Amazon will surely have a close look (for directly sold items), as well as any company shipping from within the EU.

I guess the author refers to the fact that many well-known tools have some randomness built-in. The most obvious one is differences due to the order of parallel processing. But these differences are often small and have no significant downstream effects. They are mostly inconvenient for regression testing.

Does anyone remember the art of optimising MSDOS startup to have enough free memory for games? And inspecting gorillas.bas? For me, this probably contributed to an interest to learn more and experiment. In fact, I'd like to encourage my son to a similar creative exploration, but don't how this is going to happen when pulled into the current generation of games and videos.

This is the right mindset. Securing huge piles of heterogeneous data while giving PhD students the freedom to "play" with it are quite conflicting goals.

From a bioinformatics perspective, the general approach is fine. Here is another post from today where someone landed on the similar technologies: https://news.ycombinator.com/item?id=47825381

Maybe a future direction will be the submission of detailed research, specifications and change plans for feature requests. Something that can be assessed by a human and turned into working code by both slides.

Yes, they are only mentioned in the last section. Other notable misses would be Ion Torrent and MGI. Still a nice article with a focus on the key technologies.

Agree. I used a color e-ink to display my son's school timetable (previously discussed at https://news.ycombinator.com/item?id=42408546), and it has been running reliably for 18 months, with charging needed every 4-5 months. I note that the author (cool project!) also earlier took the route of displaying websites as PNGs.

Using it for both transactional and marketing emails (but "only" for thousands of recipients) for some years. Could need some polish IMO, but the core offering is solid. Support is helpful, too.

This looks great! Shout out to FreeCol, a reimagined Colonization, that has the same isometric look and is a lot of fun.

I'd like to hypothesize a little bit about the strategy of OpenAI. Obviously, it is nice for academic users that there is a new option for collaborative LaTeX editing plus LLM integration for free. At the same time, I don't think there is much added revenue expected here, for example, from Pro features or additional LLM usage plans. My theory is that the value lies in the training data received from highly skilled academics in the form of accepted and declined suggestions.

It's a good price because the yearly statements for an LLC/GmbH are costly. We pay about 200/mo for accounting - with some more invoices :) -, 100/mo for payrolls but also the yearly statement alone is more than 2k. You can save that by not having an LLC - I personally think the risk in many software businesses is quite low. And some risks must be accepted as an entrepreneur...

Agreed. In case you do not have big investors, just register as an individual entrepreneur, get a bank account and get going! It can be turned into a LLC/GmbH later if business goes well.

Also taxes will be much easier. Just get one of the countless apps where you add invoices, and they generate tax reports for you. With an LLC or when employing other people, getting a tax consultant is advised. IMO, they are not expensive - how many hours of your time are you willing to spend on this topic instead of paying e.g. 200 EUR/mo?