john-titor

Honest question: I recently bought a mac for the first time. A long-time Firefox user I quickly realized it is draining my battery like crazy. What do people do? My whole browsing ecosystem is on Firefox Sync and I would like to keep supporting it, but I am not willing to sacrifice battery life for that

about time people started replacing Deck with something similar-but-not-quite-the-same for their project names

The recent price increase on the MacBooks tipped me towards pre-ordering a ~700 USD more expensive Framework because I believed in the product. Now, to keep my same configuration Framework is effectively asking me to dish out another 300 USD on top of that. Its very unfortunate but consumers really got the short end of the stick here. Unfortunately for Framework I am not willing to pay this delta and will go with Apple for now - bitter to not have pulled the trigger a few weeks earlier.

> Knowledge should be free. It was never created in a vacuum. It belongs to us all

Imagine you're a professional writer and it's your main source of income. How would you feel if someone said this to you? Would you still want to write books?

I was eyeing a 24GB macbook air configuration that used to go for ~1250 USD in my region, which was a fairly good deal. This went up by 500. I guess I'll be going with a frame.work instead. Was willing to pay the premium for repairability anyways and now this has made the price difference a no-brainer.

Care to explain what Omarchy has to do with Valve?

I wonder what makes you feel that. I've been publishing preprints close to a decade on arxiv now and never had any particular feelings about it.

To me it's just a way to get out your work fast, so that there is already a trace of it on the Internets - nothing more and nothing less.

> That is, it's not readily parseable, it really gives an insider term vibe...

Isn't that normal with highly specialized research fields? I agree many papers could benefit from clearer wording, but working in a niche means you sometimes don't reach a broader audience

great write up. it's been a while since I had the pleasure to read a straightforward blog post about ML tricks that feel genuinely applicable to many use cases.

strange no one mentioned portfolio performance until now https://www.portfolio-performance.info/en/

lots of features, has been around for some time

Does something like this exist for Europe?

Nice web page but after reading through the landing page I could not say for certain what the actual product is. There is no text that describes it, it just reads

>GTD for professionals

What does this mean?

Thanks a lot, will do!

Tried to sign up with my corporate email (life sciences, 100k+ employees worldwide with a big research arm). Says the institution is not known to the service. What's the process to get it known?

A lot of exciting development happening in the package one has to appreciate. Also graphs as a modality in general :)

this is well-known to people working in cheminfornatics as the tanimoto similarity, used to calculate the similarity of two chemical structures based on their (folded) fingerprint

Atom + Hydrogen allowed for line by line execution and immediate output in regular .py files, no cell definitions needed. Haven't seen this functionality anywhere else yet and miss it a lot. If anyone knows an alternative, please let me know.

Can someone explain the hype around VSCode to me? I looked into it about a year ago and was immediately turned-off by the overwhelming amount of features that they throw at you right in the 'beginner's tour'.

What I appreciate about Atom is that it is very simple right out of the box and does not get in your way. You cold always beef it up with packages later, but that progression is much more pleasant to me than the VSCode approach.

The biggest selling point of Atom to me as a Python dev was the Hydrogen package. That tight integration of notebook features within the editor is something I have never seen before and a total game changer. Especially if you are working with data that you might need to visualize a lot. Correct me if I'm wrong, but from what I understand there is no Hydrogen equivalent in VSCode? Sure, there are plug-ins that let you run your code through a jupyter kernel and display the output in a second terminal pane, but that is not the same as the ability to simply highlight a bit of code, run that and have the results displayed immediately on the next line below. Having pyplot figures displayed in such a way is also not possible from what I saw, or did I miss something?

firefox <3