Wow, this was some slick long form sales work. I hope your SaaS goes well. Nice one!
Readit Newsgridspy commented on Without benchmarking LLMs, you're likely overpaying karllorey.com/posts/witho... · Posted by u/lorey
Related to your comment. I was a "desktop" developer many years ago (about 20). Back then I mainly coded in Assembler, Visual Basic, and Delphi, and I also learned COBOL, C, and Java.
Just this week, I decided to start learning Kotlin because I want to build a mobile app.
Everything was going great until I reached lambda functions.
Honestly, I can't wrap my head around either their purpose or their syntax. I find them incredibly confusing. Right now, they feel like something that was invented purely to confuse developers.
I know this might just be one of those topics where you suddenly have an "aha" moment and everything clicks, but so far, that moment hasn't come.
Did anyone else coming from older, more imperative languages struggle this much with lambdas? Any tips or mental models that helped you finally "get" them?
You know how to add logic on the outside of a function, by putting that function into a larger one and calling the function in the middle.
However, how do you inject logic INTO the middle of a function?
Say you have a function which can iterate over any list and given a condition do a filter. How do you inject the condition logic into that filter function?
In the C days you would use a function pointer for this. C++ introduced templating so you could do this regardless of type. Lambdas make the whole process more ergonomic, it's just declaring a one-shot function in place with some convenient syntax.
In rust instead of the full blown
fn filter_condition(val: ValType) -> bool { // logic }
I can declare a function in place with |val|{logic} - the lambda is just syntactic sugar to make your life easier.
gridspy commented on The chess bot on Delta Air Lines will destroy you (2024) [video] youtube.com/watch?v=c0mLh... · Posted by u/cjaackie
I'm 2100 rapid on lichess, 2050 blitz and bullet. I got destroyed every single time I played the easy mode version on Delta. It knew opening theory. It did not blunder a single time in the middle game. I never made it to an end game.
Sounds likely it had an opening book dataset. You just needed a weird opening
gridspy commented on The chess bot on Delta Air Lines will destroy you (2024) [video] youtube.com/watch?v=c0mLh... · Posted by u/cjaackie
Getting more thinking time tends to give surprisingly small improvements to playing strength. For a classical alpha-beta search based engine, for a given ply (turn) you might have ~20 moves to consider each depth of the search tree. If you're trying to brute force search deeper, a 10x increase in compute time or power doesn't even let you search an extra ply.
Elo gains for engines tend to come from better evaluation, better pruning, and better search heuristics. That's not to say that longer search time or a stronger CPU doesn't help, it just doesn't magically make a weak engine into a strong engine.
There is a strategy called alpha beta pruning meaning you can discard a lot of move options quickly based on the results of similar branches. That and caching similar board states means 20x options does not mean 20x CPU time.
I use both and ChatGPT will absolutely glaze me. I will intentionally say some BS and ChatGPT will say “you’re so right.” It will hilariously try to make me feel good.
But Gemini will put me in my place. Sometimes I ask my question to Gemini because I don’t trust ChatGPT’s affirmations.
Truthfully I just use both.
I told ChatGPT via my settings that I often make mistakes and to call out my assumptions. So now it
1. Glazes me 2. Lists a variety of assumptions (some can be useful / interesting)
Answers the question
At least this way I don't spend a day pursuing an idea the wrong way because ChatGPT never pointed out something obvious.
gridspy commented on A supersonic engine core makes the perfect power turbine boomsupersonic.com/flyby/... · Posted by u/simonebrunozzi
Somebody calculated that a home in UK needs 1 Megawatt-Hour battery to backup solar energy during the winter. I suspect in 10 years that may cost below 25K, a small fraction of the property cost.
That's probably assuming a solar system sized to cover typical summer energy usage. You can simply over-provision solar until you have wasted capacity in summer and little to no storage requirement in winter. Then it's just a tradeoff between battery and solar costs to find the best price point.
Also this calculation probably assumes no baseload power imported from the grid, where means such as wind and tidal power work year-round and help offset the need for batteries.
gridspy commented on A supersonic engine core makes the perfect power turbine boomsupersonic.com/flyby/... · Posted by u/simonebrunozzi
Turbines are useful even in a 100% renewable powered world.
Perhaps not in a 100% world, though I'll give you the point that they are useful now.
In a 100% renewable world we would not be extracting or refining oil. Natural gas (used by these turbines) is a byproduct of oil drilling. Were we not burning the oil, the natural gas might be too expensive alone.
Also, in a 100% renewable world we would (by definition) have enough generation all the time - (covered by batteries and good baseload sources) that turbine power was no longer required to cover peak loads.
gridspy commented on AI CEO – Replace your boss before they replace you replaceyourboss.ai/... · Posted by u/_tk_
A mistake lies in thinking it’s a market, but it’s egregious you’d call it free
The free market is an analyzable simplification of the real market, however I think the assumptions hold in this case.
If a CEO delivers a certain advantage (a profit multiplier) it's rational that a bidding war will ensue for that CEO until they are paid the entire apparent advantage of their pretense for the company. A similar effect happens for salespeople.
The key difference between free and real markets in this case is information and distortions of lobbying. That plus legal restrictions on the company. The CEO is incentivized to find ways around these issues to maximize their own pay.
gridspy commented on AI CEO – Replace your boss before they replace you replaceyourboss.ai/... · Posted by u/_tk_
Can you explain why we pay Sam Altman & Elon Musk? Or Jeff Bezos & Bill Gates? They’re just middlemen collecting money for other people’s labor.
They are a bridge between those with money and those with skill. Plus they can aggregate information and act as a repository of knowledge and decision maker for their teams.
These are valuable skills, though perhaps nowhere near as valuable as they end up being in a free market.
Use an encouraging tone. Adopt a skeptical, questioning approach. Call me on things which don't seem right. List possible assumptions I'm making if any.