This is easy to say but the reality is being a monkey and throwing money in the market over the last 15 years would have made you f u money. Yet most people never did it.
So who is the genius: the guy who remains on the sidelines and eventually is proved right or the guy who remained in the market and did face a brutal correction.
One thing I've learned about myself is that I'll never be the guy on the right end of that mid curve meme so I might as well lean in on being on the left.
Nice - I can see some cool agentic flows created using this. A thing I want to look into is creating a sandbox instance (Ubuntu?) and letting an agent do its thing. Could be collecting data or answering questions and I can pull up the window to check in from time to time. It'll be like having an assistant.
Disappointed in this article. I was hoping to get some introduction to Beers methods especially compared to naive centralized planning but its mostly about how Beer didnt live up to his potential.
Again - think of where we were two years ago. I never understand this hubris people have to think AI can never do X while being proved repeatedly wrong.
GPT styled LLMs were introduced back in 2018 so SIX years ago.
Have they gotten more COHERENT? Absolutely. Is coherence the same thing as NOVELTY? NOT EVEN REMOTELY. I've played with markov chains in the 90s that were capable of producing surprising content.
Unless there is a radical advancement in the underlying tech, I don't see any indication that they'll be capable of genuine novelty any time in the near future.
Take satire for example. I have yet to see anything come out of an LLM that felt particularly funny. I suppose if the height of humor for you is Dad jokes, reddit level word punnery, and the backs of snapple lids though that might be different.
If you have a particular style of witty observational humor that you prefer, providing the model some examples of that will help it generate better output. It's capable of generating pretty much anything if you prompt it the right way. For truly nuanced or novel things, you have to give it a nucleus of novelty and axis of nuance for it to start generating things in your desired space.
I have more than 50 projects and find myself often bogged down by fixes and updates. This can creep up on you. Going back to older code bases (even ones you
wrote) can be daunting and annoying. One customer email can ruin the whole day. AI has definitely made this easier but it's still challenging.
I've now started to be more ruthless in cutting older projects that aren't going anywhere (or are not 100% automated) and I also try and consolidate new project ideas as a features to existing products.
Who uses gnome? Why would you use Gnome over other linux distros? I'm not asking as a diss I genuinely don't know much about the different preferences ppl have for open source OS.
You probably live a monovendor world for your workstation. Linux world is multivendor from the ground up.
Just a simple example in your language: app panel launcher can be provided by a software with a different origin of windows manager (as in move, resize, tile windows on your desktop). Yeah, kind of like android but this concept comes from thirty years ago.
It initially was a simple youtube transcript + summarizer but I've added a bunch of more features. My goal is to make it the tool that lets a user go from video to insight in the shortest amount of time.
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