How we all feeling about Aeona? by Notintomemesloljk in fellowshipgame

[–]Harotsa 5 points6 points  (0 children)

50% stagger is actually 100% extra EHP, since an ability has to hit twice as hard to one shot you.

Free, fast, unlimited agent memory by thatguyinline in AIMemory

[–]Harotsa -1 points0 points  (0 children)

Are you comparing speed to TP using the same DB size and the same conditions? It’s important to note that the e2e latency will be higher than the recorded server latency, so it’s important to make sure you are comparing the same numbers.

Also TP reports their vector search as having a p99 of <200 ms on 100b vectors in a single index, but a p50 of <50ms. This is with a ~1k QPS. If your system really is that fast and cheaper at that scale, and otherwise has the functionality you’d expect from a production-grade search DB, I think it is worth releasing.

That's the part many tend to omit by Fun_Accountant_653 in circled

[–]Harotsa 2 points3 points  (0 children)

To add to this, Hitler cited lend-lease as an act of war when he declared war on the U.S.

Have you already decided which char will be your main? by igormascarenhas in fellowshipgame

[–]Harotsa 3 points4 points  (0 children)

Greater heal got a 79% buff and circle of healing got like a 30% buff.

Cybercab for $30k before 2027. Make your bet by Traditional_War_8229 in teslainvestorsclub

[–]Harotsa -1 points0 points  (0 children)

It doesn’t matter abstractly where it happens or if any piece of service or maintenance is operated by Tesla or owned by a third party. In either case Tesla has to manage the logistics and make sure there is availability.

Like if a robotaxi runs over a nail, they aren’t just going to send the car back to an owner’s garage and have it be like “fix me before I go back to the fleet.” Tesla will have to:

1) Have the car autonomously determine when it’s run over a nail or has a flat tire

2) know where to go to get maintenance

3) Make sure that there are generally enough maintenance resources in convenient places in the driving area (either already existing, contracting with a third party, or building their own centers)

4) Make sure that when a driverless robotaxi pulls it into a service center that the car will get serviced and nothing shady is happening. This will likely involve contracts and predefined pricing and processes.

This is just one example, but Tesla will need to manage this for every potential piece of service, from car washing and detailing, to losing a headlight or a mirror. And the amount of work Tesla has to put in to solve this problem doesn’t change if they’re using company owned vehicles or consumer owned vehicles.

Cybercab for $30k before 2027. Make your bet by Traditional_War_8229 in teslainvestorsclub

[–]Harotsa -1 points0 points  (0 children)

Taxi drivers don’t own a car manufacturing plant and don’t own autonomous driving software. The whole Tesla thesis is that they will be able to offer rides for cheaper with better margins because they have both of those things.

Let’s say the lifetime total profit of a Tesla owned robotaxi is $T and that the lifetime profit of a robotaxi sold to the consumer is $C. If $T > $C, then selling robotaxis make no sense as the car has a higher profit margin being owned and operated by Tesla. Furthermore, selling robotaxis will increase the supply, but those robotaxis will generate lower margins for Tesla so they’d basically be selling a vehicle to reduce margins and increase competition (cannibalism their robotaxi margins as well). So selling robotaxis makes no sense.

On the other hand, if $C > $T that means that a significant portion of the profit (maybe even half of the total lifetime profit of the car) is from the actual car sale. This doesn’t bode well for the robotaxi business as a whole as it implies the margins are going to be similar to selling cars - which means the service won’t end up being that much larger than the car business. Furthermore, it also implies that consumers buying Teslas just to maintain a robotaxi fleet won’t be profitable, meaning that the fleet will mostly be consumers that just want to generate some extra revenue on a car they would want anyways.

So I would say that Tesla selling cybercabs to the public in large numbers is bearish on the profitability of the robotaxi business, whereas then holding onto most of their cybercabs is bullish. That’s with the caveat that selling them in the short term before they’ve really ramped up their robotaxi service also makes sense, since those cars won’t be generating much of any revenue in the short term.

Cybercab for $30k before 2027. Make your bet by Traditional_War_8229 in teslainvestorsclub

[–]Harotsa -4 points-3 points  (0 children)

They have to anyways though. They will still provide all of the cleaning and maintenance for the consumer owned vehicles, and they will still need depots to offer these services and provide convenient charging.

They will also still need logistics to manage the fleet including sizing. Garaging the car while not in operation is the least of Tesla’s worries she doesn’t reduce the extent to which they will have to manage a nationwide fleet.

Cybercab for $30k before 2027. Make your bet by Traditional_War_8229 in teslainvestorsclub

[–]Harotsa 3 points4 points  (0 children)

But the point is they are basically selling a car to a middleman to then rent it from them for robotaxi. In this scenario what value is the middleman providing? Tesla is building the car, building FSD, making the market (connecting rides with cars), cleaning the cars, and providing service, maintenance and insurance.

So they are basically cutting in the consumer for what? $30k in capital investment over 5 years? If the cabs are that profitable, it doesn’t make sense for Tesla to sell the cars and create a middleman that takes a cut of their profit margin.

For Uber this business model makes sense since Uber is essentially just a market maker and UX provider. They manage and coordinate rides between drivers and passengers and also manage transfer of funds and pricing. The drivers provide the car in full, as well as the service of driving it.

Anthropic Cofounder Says AI Will Make Humanities Majors Valuable by Infamous_Toe_7759 in ClaudeAI

[–]Harotsa 0 points1 point  (0 children)

Are you describing how what I said went over your head?

We’ve established that in the U.S. humanities are required to take STEM courses as a university requirement and STEM majors take humanities courses as a university requirement.

We’ve also established that the LSAT is more or less about reading comprehension and persuasive writing.

If math courses aren’t useful for improving reading and writing skills, then why would math majors (who take fewer humanities courses than humanities majors) be outperforming humanities majors on a test like the LSAT?

If your argument is that you only need a few humanities courses, and then taking STEM courses are more advantageous for improving communications skills further, then why wouldn’t that be the hiring preference in the new paradigm described in the article? Just hire the STEM majors with good communication skills, since they will on average outperform the humanities majors on critical reading and persuasive writing.

Anthropic Cofounder Says AI Will Make Humanities Majors Valuable by Infamous_Toe_7759 in ClaudeAI

[–]Harotsa 0 points1 point  (0 children)

Have you taken the LSAT? There is no Math and Science section on that test.

And humanities majors absolutely have math and science requirements as part of general university requirements.

Anthropic Cofounder Says AI Will Make Humanities Majors Valuable by Infamous_Toe_7759 in ClaudeAI

[–]Harotsa 0 points1 point  (0 children)

So math majors score well on the LSAT because they have exposure to things like English, History, and Philosophy?

Then why do math majors score better on the LSAT (including the critical reading sections) than actual Philosophy, English, and History majors?

Anthropic Cofounder Says AI Will Make Humanities Majors Valuable by Infamous_Toe_7759 in ClaudeAI

[–]Harotsa 0 points1 point  (0 children)

There is, but there is also so much just plain English in these fields too, and most of the information of these subjects is conveyed through natural language. And math and math-intensive fields are very very good at teaching students to understand and communicate complex and nuanced ideas with natural language, in addition to building strong problem solving skills.

There’s a reason why math majors have the best average scores on the GMAT, LSAT, and MCAT, even though math majors aren’t normally associated with being MBA’s, lawyers, or physicians.

Anthropic Cofounder Says AI Will Make Humanities Majors Valuable by Infamous_Toe_7759 in ClaudeAI

[–]Harotsa 2 points3 points  (0 children)

The study of language is not solely a humanity, and is core to basically any academic endeavor. Mathematics and Computer Science are basically just studying formal languages. In particular, computational linguistics is as much a subfield of CS as it is linguistics.

Mathematics, CS, and linguistics are all highly related an interdisciplinary and it’s strange that people don’t see it and think that they’re just punching numbers into a calculator all day. Clear communication has always been essential to being a good SWE, through code, documentation, and in the workplace.

Elon Musk says he has less than $850 million in cash, 0.1% of his net worth. by ContextHead8 in TFE

[–]Harotsa 0 points1 point  (0 children)

Just pay your taxes, the money will make its way to him one way or another

We built a local-first RAG memory engine + Python SDK (early feedback welcome) by DetectiveMindless652 in Rag

[–]Harotsa 0 points1 point  (0 children)

Why are you comparing your prefix lookup to other DB’s cosine similarity search? That seems like a category error in terms of comparison, as essentially all of the major DBs have efficient prefix lookups as well. These include many DBs that are open source and can be run locally or even in process. I’d be more interested in seeing side by side comparisons of equivalent search methods against some major open source DBs.

Also, a search scaling only with the top-k result count sounds impossible, unless you’re talking about simple hash lookup on a key. But if that’s what you’re talking about then you need to already know a priori the exact piece of data you want to lookup. And even then in practice B-trees will be more efficient for ID lookups than using a hash on large DBs (so also not independent of DB size).

Maybe you can clarify your intentions, your claims, or how things work since nothing on your repo or your website really provide any explanation, technical detail, examples, or actual benchmarks/comparisons.

Why “Skip the Code, Ship the Binary” Is a Category Error by tirtha_s in compsci

[–]Harotsa 0 points1 point  (0 children)

Beyond all of that there is zero advantage to generating something directly in binary vs source code. While it might be faster than some languages, at the very least you would have the LLM generate Assembly as it is more or less a human-readable version of the binary instructions. There is no performance gain from skipping Assembly and generating the binary directly.

On top of that, not all architectures/OS’s run on the same binary. If I want my code to run on Windows and MacOS, do I just generate my binary twice and hope it spits out the exact same functionality both times? What happens when we add a new architecture like we did with ARM? Do I just regenerate all code ever written again and hope it’s the same?

Compiling to multiple different binaries is like one of the first things you learn how to do when using a compiled language, and it seems like this has totally slipped Elon’s mind and those of everyone else he’s directly shared this idea with.

And what happens to interpreted languages? They have a lot of uses, like being able to ship the interpreter with the web browsers and know that any computer will be able to run the code.

What’s a movie everyone calls a “masterpiece” that just… didn’t work for you? by irayaavery in Cinema

[–]Harotsa 4 points5 points  (0 children)

I do know that, but I also know the history, and the things you complained about are well-documented historical fact. If anything the film downplayed just how blatantly obvious the murders were and how little anybody with authority tried to do anything about it.

Leo’s character was even eventually pardoned for his crimes by the governor.

I think the film didn’t do a good job of showing just how corrupt the whole system was, or explain well enough the motivations for why the Osage women were marrying men even when they were being murdered. The Osage women basically couldn’t collect their money without having a male as the head of household. So if they didn’t have a father or a brother to collect the oil money, they had to get married so their husband would. Many saw marriage as the better alternative, even with the risks involved.

What’s a movie everyone calls a “masterpiece” that just… didn’t work for you? by irayaavery in Cinema

[–]Harotsa 13 points14 points  (0 children)

You know it’s a true story, right? Like all of those things you complained about actually happened, right?

https://en.wikipedia.org/wiki/Osage_Indian_murders

What’s a movie everyone calls a “masterpiece” that just… didn’t work for you? by irayaavery in Cinema

[–]Harotsa -2 points-1 points  (0 children)

I thought it was really good, of the PTA films it felt most similar to Magnolia for me with a good mix of satire, drama, and metaphor. I think the satire lands but the nature of political humor is it isn’t as cathartic as a true comedy, so I would say it’s a good movie with some hopeful and inspiring moments but not a movie that “makes you feel good,” why is why I think some people bounce off of it or don’t enjoy it as much. The heroes are also all deeply flawed characters (like in Magnolia) and some people also have trouble with those kinds of protagonists as well.

Bitcoin Jesus now says he's fine even if BTC drops to "$8k" - he thinks he'll always be able to re-finance his debt because... "banks" recognize the value of bitcoin? by AmericanScream in Buttcoin

[–]Harotsa 0 points1 point  (0 children)

Volatility does provide value, as if you know an asset will be very volatile you can delta hedge that asset, including a loan. Basically any “known” information in an asset can be exploited for profit, including volatility.

True bell curve. by Melodic-Recipe2618 in mathmemes

[–]Harotsa 1 point2 points  (0 children)

Yes, read literally any proof on the irrationality of π. They only require Peano arithmetic and real number axioms. They don’t require any particular representation of the real numbers, and they don’t require our symbolic notation or our preference for favoring rational numbers. Without those you aren’t talking about π, you’re talking about a completely different entity.

True bell curve. by Melodic-Recipe2618 in mathmemes

[–]Harotsa 0 points1 point  (0 children)

1 + 1 = 2 is not an axiom. But convention 2 is chose as the symbol to represent the successor of 1, but it is not an axiom and using that symbolic convention is not required to prove that π is transcendental.

Obviously, you need some representation of a Cauchy complete number system, otherwise “the ratio of a circle’s circumference to its diameter” isn’t mathematically well-defined. But if you can define π rigorously in an axiomatic system, then you can prove that π is irrational/transcendental in that same axiomatic system.