bulubulu

They have 4k podcasts releasing 3k+ episodes per week, so that's ~250 listening per episode. That's an achievable number with organic traffic.

https://www.inceptionpoint.ai

Review papers are summarizations to recent updates in the field that deserve fellow researchers' attention. Such works should be done annually or at most quarterly in my opinion, to include only time-tested results. If hundreds of review papers are published every month, I am afraid that their quality in terms of paper selection and innovative interpretation/direction will not be much higher than the content generated by LLM, even if written word-to-word by a real scientist.

LLMs are good at plainly summarizing from the public knowledge base. Scientists should invest their time in contributing new knowledge to public base instead of doing the summarization.

I know a lot of real people using numbered lists in their writing. That's not a decisive feature. Using an emoji for the bullet point is somewhere you definitely need to stop.

Georgia Institute of Technology has a course for these topics. It's part of their online master's program so I believe you can find a lot of resources online.

ISYE 8803 Topics on High-Dimensional Data Analytics

Not working from my side: Get error in console

``` index-DpuJbHxC.js:40 TypeError: Cannot read properties of undefined (reading '0') ```

10 years ago I joined a consulting company as a data science intern. I arrived at work with my MacBook. I learned about excel in courses but had never used in my daily life: I use csv and SQLite for "data-heavy" cases and Numbers for intuitive cases (never coded inside it). When someone shares an excel sheet with me, I open with Numbers with no problem.

On day 1 I realized my work was to deal with several excel sheets of 10~50MB, with huge amount of VBA scripts, rule-based highlighting, charts... They even wrote an internally used extension for those files. Numbers could not handle and crashed.

I need Excel. I asked if I could borrow a PC laptop from the company, no, that's not for interns. I need to bring my own device. I asked if they would pay for Microsoft Office to get installed on my personal MacBook. The answer was obvious, what are you thinking? I had to manage to get Excel for myself, while the full salary they paid me was not enough to cover a license.

I left consulting after that experience and end up working as a "real" data scientist. Nothing like that happened ever. I collaborate with colleagues using different IDEs/editors everyday. If an accountant joins us and tells me notepad is all you need, I would highly respect his choice and continue with my editor. We don't need to argue, our codebase is not locked in any tools.

Nice work! Maybe add one pre-computed route for demo version would be better.

BTW, I was thinking "it must be a German project" when I saw the name xxxx24 and it turns out to be true :)

Nice and neat tool! I wonder which llm model is running in the backend and is there any way to run it locally/self-hosted?

I did math competition when I was in high school and the prize I won opened the door to a top university for me. I would say wrestling with a problem with limited tools (no calculus, no advanced algebra etc), finding a solution as elegant as possible is a game that I enjoyed at that time and still enjoy to this date (I'm close to 30 now, still challenging myself with IMO problems from time to time). But that's it. A game is a game and whatever you do inside the game world, no matter how fancy it is, is not practical in the real world. I didn't feel any privilege compared to fellow students without that experience after entering the university.

Getting into the "higher math" world was really painful for me actually. Seeing how some "modern" techniques (which has already existed for ~400 yrs, not literally modern at all) have solved the problem I struggled with in such an ultimate way made me feel overwhelmed. I felt like a track athlete, gloating over how fast I was running, realizing how modern transportation has revoluted - people no longer move long distances with human power. The quality a good driver needs is attention - on the road and the car simultaneously - not a pair of sporty legs.

The transfer from high school math olympics towards "higher math" requires not only practically a major upgrade in knowledge and toolsets, but also some shift of thinking paradigm - the task is not looking for an elegant and ingenious shortcut to a particular problem, but a highway that is general and inspiring to a fully new field (like how equations opened the door to linear algebra and everything subsequent). I pushed myself to embrace the transition, but it didn't seem to work. I managed to pass the exams and obtained a higher degree, with some expertise in a particular field of application. Still, I always have the feeling that my mathematic understanding is like house built on sand and lack a solid foundation. There is some sort of chasm that I failed to break through...

I agree with the part about mental skills, partially. Experience with math competition improved my concentration and persistence. I found piano practice more contributing in this means.

Thanks! I'm only using it to learn about the structure (and perhaps for backup, a periodical export seems more reasonable though). Can I export/locate data from ios without syncing to mac?

Thank you for building this! I've been looking for something like this and even tried to build some for myself. As a non-developer, I've only been able to port some existing services and use very rudimentary structures. What I like about the chat-style interface is that I can always write little pieces that are easy to send, but hard to edit afterwards. It forces me to keep writing and sending, rather than stopping at a sentence and rethinking the wording and getting halted. I'm actually writing thesis and scientific papers this way. I'm curious about the data storage: I noticed that you mention data is stored in SQLite database. Can you share the path?

Thanks for making this tool, highly useful! In the example you used, more native way is to include the "把" verb structure i.e. 你得把鞋带系好 instead of 你得系好鞋带. I was thinking if this could be improved by adding some examples in the prompt? I've heard that LLMs are good with learning by examples. I'm not sure if it works since you're first getting the English output and then translating it.

I got my account blocked for no reason and they required my ID to resume access. Apparently I don't trust that at all and registered for a new account with an alias email. They unlocked my primary account without me doing anything after a few days. So my suggestion is to disregard it.