alun
Funnily enough, Reddit got so bad that I stopped appending "reddit" to my queries and I often find myself appending "hackernews" instead (or more commonly, I ask the LLM to find HN discussions on the topic), just because the signal is much higher.
It also makes me think about how much of HN might be astroturfing. Less than reddit for sure, but certainly not 0%.
In real life, a human doesn't do classification tasks with the System One part of their brain, they use System Two. So by definition what Jev does isn't System One thinking.
If anything, regular programming that automatically executes based on logic, without requiring "thinking" would be "System One".
So it would be interesting to have a metrics dashboard view of it.
For example a daily / weekly / monthly graph of how many people are in space during each timeframe.
Filters by company, nationality, age, etc.
Would be an interesting way to see how space progress is being made and where it's mostly coming from.
I wonder how many of these centenarians aren't actually alive and their just deaths haven't been reported so that the family can avoid paying that.
Otherwise, a perfect replica of the Mona Lisa would cost the same as the original.
For the AI part, I recently started working through this CMU course on Modern AI which teaches you how to build an LLM from scratch. It was posted on HN a few months ago and has been great: https://modernaicourse.org/
If anyone has other recommendations for beginners, please share them!
But what I've also noticed is that a lot of people with unbalanced lifestyles end up becoming depressed.
For example, they might have a habit of going to bed at weird inconsistent times, wake up late, eat junk food, not regularly exercise or go to the gym, etc.
Someone with that lifestyle is much more likely to become depressed compared to someone who sleeps 8 hours a night, wakes up at a reasonable time every morning (i.e. 5am - 8am), has a stable job, and exercises regularly.
Humans are built for routine. Drifting away from that is unnatural.
Open source obviously makes software more auditable, but in an age of LLMs whose intelligence is increasing at an exponential rate, it also makes it much easier to find and exploit vulnerabilities.
For example, had ColdCard (the other hardware wallet that got hacked) been closed source, it would have been much more difficult to exploit the randomized number vulnerability that the attacker used to get the private keys.
Maybe the answer (at least in this case) is somewhere in between where most of the thing is open source, but the parts that deal with creating the sensitive data are kept closed source.
I suspect shrinkflation has a lot to do with inflation. Companies degrade the quality of their products to preserve their margins which are being eaten up by inflation.
In this scenario the user would either sign into the platform via their Anthropic / OpenAI / Gemini account or use their API keys, and any of their usage would be billed to them directly.
The company then doesn't have to worry about the increasing costs from the AI usage.
Of course, in this future, AI providers become the new "Facebooks" of the world.
While it technically won't be grammatically correct, it'll get the benefits he describes in the article while also not being accused of being AI-generated.
For example, just yesterday I reverse engineered the internal API of a SAAS tool we use and it allowed me to gain programmatic access to data that was only available in their slow clunky UI.
Same schedule every single day, you get a lunch break, exams are designed in a way that there's only one single correct answer, outside of the box thinking is wrong, and you'll get at least a B+ if you just do your homework everyday.
The reason might be because they grew up in a world where social media was non-existent, so interacting with strangers was more common. As a result, they tend to be more socially intelligent than the younger generations.
Will be thinking about this article the next time I reach for my AirPods as I'm about to leave the house.
Although making students write it on paper (as described) feels extreme. Why not just make them write the code manually on a regular IDE, see how it compiles, etc.?
For example, if Freenet were to reach scale, it could eventually need some kind of economic primitive around it. Something similar to how Filecoin handles decentralized storage, but for app state. One way to do this could be paying peers to keep app state available, serve it reliably, etc. and prove they are doing so.
All it would take is implementing their own forked version of VSCode (like Cursor did) and making Claude the default choice.
Obviously I'm simplifying here, but they definitely have the capability to do it.