While other countries are cashless
373 karma · joined January 13, 2021
> The Dark Side of the Moon
> OK Computer
Those are my 3 personal records ever. I feel so average now...
Thomson Leighton is the founder of Akamai
Lectures here: https://www.youtube.com/playlist?list=PLB7540DEDD482705B
One of the set of lectures on the internet I loved the most.
Exactly. I care about profiles as well.
But I never trust extensions, I do it manually.
Thank you for pointing out that a video may be more interesting
If you're not familiar with the CMU DB Group you might want to check out their eccentric teaching style [1].
I absolutely love their gangsta intros like [2] and pre-lecture dj sets like [3].
I also remember a video where he was lecturing with someone sleeping on the floor in the background for some reason. I can't find that video right now.
Not too sure about the context or Andy's biography, I'll research that later, I'm even more curious now.
[1] https://youtube.com/results?search_query=cmu+database
I'm sure there are more proxies around.
> I decided to leave my phone at home
I used to do this too but soon I realized I wanted my phone for payments (say, coffee) and/or unlocking public bikes (like Lime).
Now I have 2 phones: - Phone A with my SIM, internet, payment cards, but unlogged from any internet account - Phone B, no SIM, usually connected to Phone A via hotspot, with email, messaging apps, logged into hacker news and everything.
When I want to take an offline walk/ebike-ride I only bring Phone A with me.
Reminds me of PG's "How To Do What You Love"[1]
WLOG
I propose that we should raise the bar for the quality of software now.
[1] https://www.dr-josiah.com/2010/08/databases-on-ssds-initial-...
I wonder how a "programmers + AI" self-improving loop is different from an "AI only" one.
I'm not sure antirez is involved in any business decision making process at Redis Ltd.
He may not be part of "they".
https://lesswrong.com/posts/uMQ3cqWDPHhjtiesc/agi-ruin-a-lis...
This makes me think: I wonder if Goodhart's law[1] may apply here. I wonder if, for instance, optimizing for speed may produce code that is faster but harder to understand and extend. Should we care or would it be ok for AI to produce code that passes all tests and is faster? Would the AI become good at creating explanations for humans as a side effect?
And if Goodhard's law doesn't apply, why is it? Is it because we're only doing RLVR fine-tuning on the last layers of the network so all the generality of the pre-training is not lost? And if this is the case, could this be a limitation in not being able to be creative enough to come up with move 37?
I use Python for the logic (zero dependencies) and SQLite for the data.
I still have to migrate the data, but the core is already online at https://danielfalbo.com
For instance, I have an SQLite table for resources and one for authors, linked together.
The indices for each are automatically generated at https://danielfalbo.com/resources and https://danielfalbo.com/authors
If you open, for example, an author's page, you'll find hyperlinks to all their resources in the first part of the document, and vice versa for the resources. Example: https://danielfalbo.com/resources/fabric-of-reality
The blog will live in the "notes" table, which behaves similarly at https://danielfalbo.com/notes (actually, I'm still thinking whether to split the notes and the blog tables or keep them together, but infrastructure-wise it doesn't change anything).
A fun feature is the dynamic calculation of my age at the moment of writing of any blog post, for example, seen at https://danielfalbo.com/notes/essentials
There is also a lightweight livee preview feature for nice offline html content editing.
I still have to finish migrating everything and might realize there are gaps along the way, but the goal is relevant-features parity with https://old.danielfalbo.com/weblog and https://danielfalbo.notion.site/3cce7ff647e94470ba1342211337...
https://www.asml.com/en/products/euv-lithography-systems/twi...