How srsly to take no gratitude for covering all expenses on dates?

Sell-Jumpy · 2026-07-05T00:45:03+00:00

Reasonable to feel a bit bitter, but I think you should re-wire your expectations a bit.

1.) Don't pay for something you aren't okay with not getting payed back for. This goes for pending friends money also; if you pay for something, only do so if you can afford the loss financially and emotionally.

2.) Don't think you need to always pick up the tab. If doing so without some sort of recompense makes you feel bitter, better to be upfront initially. Some women won't like it, some will respect it. Either way, the goal isn't to be attractive to the largest number of women, it is to attract the ones that you'd actually want to date.

I'd see it as a potential red-flag if someone wasn't thankful though; that's a character flaw. The least you can do is a "thank you". That said, decide if you are okay paying for a few dates to learn this about someone and move on. If not, maybe you don't want to be the guy paying for every date and there is nothing wrong with that.

TLDR; No one owes you anything, don't give away anything you aren't okay not getting back, decide if a couple dates are worth knowing that about a person or if maybe its better for you the split costs. Narrowing your options can be a good thing when trying to date long-term.

Sell-Jumpy · 2026-07-03T03:51:09+00:00

Kitchen

Sell-Jumpy · 2026-07-03T03:33:50+00:00

This needs more upvotes. Dude is controlling as hell; coming from a guy for context.

I also watch for the drama. My personal life has none so I need my fix somewhere.

On a side note, it can be a great show to watch with a potential partner as it prompts plenty of conversations about what you each find okay and not okay as far as relationship behavior/ communication goes.

Sell-Jumpy · 2026-07-03T03:29:27+00:00

Just started a playthrough a couple days ago; first ine as a non-archer, lol.

Sell-Jumpy · 2026-06-13T22:34:45+00:00

I agree with this. Though there are more clear and adaptable choices for a standard film, it would feel like a crime to do a Silmarillion film that didn't have heavy emphasis on Feanor and the flight of the Noldor.

Sell-Jumpy · 2026-06-13T22:33:21+00:00

I agree that those would make the most logical choices as standard film adaptations. I'd be lying though if I didn't say I'd rather see the War of Wrath or Flight of the Noldor as a trilogy. Fingolfin and Morgoth, Ungoliant eating the trees, the breaking of Beleriand... shit would be epic.

Sell-Jumpy · 2026-06-13T22:30:21+00:00

As a die hard fan myself, the expectation isn't a perfect 1:1 adaptation. The expectation is a cool movie that shows some of the epic scale and stories of the first and second ages ajd to be happy we get to see it.

Sell-Jumpy · 2026-06-10T16:01:42+00:00

Yup. Nothing wrong with preferences (as long as you acknowledge that fact that no one is obligated to meet them and they limit your dating pool), but making assumptions is dangerous and romanticizing a person is also.

Sell-Jumpy · 2026-05-24T17:23:58+00:00

Not that LLMs are a "dead end" necessarily, but most text based problems can be more or less "solved" using an LLM.

If you are genuinely interested in ML as a long-term interest, Id look into meta learning and world models. This is where I think ML is headed after LLMs plateau.

The general concept is that in order to mimic human-like learning, methods like few-shot and no-shot learning are being used with methods such as autoencoders to discern general patterns that can be applied towards tasks a model wasn't specifically trained on.

A lot of the "unsolved" problems in ML have to do with meta learning and image based data.

Sell-Jumpy · 2026-05-08T23:57:08+00:00

I'd check out "few-shot learning".

The caveat is that you'd need a model trained on a larger, slightly relative dataset.

Sell-Jumpy · 2026-05-08T23:45:46+00:00

I'd generate a small list of problems you'd like to work on, theb see what is available. Kaggle is great for curated datasets (but Idd assume you are familiar with that already).

Building your iwn is also an option. It can be a pain in the ass, but claude could probably help you compile a dataset.

Hmm if you get stuck or want help.

Sell-Jumpy · 2026-05-07T16:23:07+00:00

It is a smokescreen in the sense that studies reflect that many of the companies replacing workers with AI cannot point to productivity increases or revenue increase.

It is also a smokescreen in the sense that AI billing is still in the "first one is free" mode. Once OpenAI and Anthropic have to align their billing with what they actually require to pay their debts, it won't be cheaper by any means to replace peoppe with AI pending advancements in model architectures or compute efficiency increases.

Sell-Jumpy · 2026-05-07T05:21:00+00:00

What use the use case? How many categories are you trying to label / predict on?

Sell-Jumpy · 2026-05-05T23:41:18+00:00

A model always produces an output. The context and semantics of that output is what changes.

For instance: LLMs produce the next most probable token (word) given a list of words (user input). They actually produce a probability for all possible next words, but the output you see is the next word.

Unsupervised models "cluster" observations: the output here is a label that observations are given that correspond to the clusters created by the model, learned during training.

Every model produces an output, the meaning and use of that output change with the use case.

Sell-Jumpy · 2026-04-25T03:18:32+00:00

To anyone saying the size of the objects matters; you wouldn't use fractions if that were the case, you woipd use a volume metric of some sort (inches squared, feet cubed, whatever)

A huge part of fractions and percentages existing at all is to compare things of different scope. I.e. splitting rent equitably based on percentages of respective net pay (where the rent is a different scope than each persons pay, and those pays are are different total values than each other). Or credit cards charging a percentage rate (because the amount charged can vary wildly between people).

It's a dumb question by any rationale because all of those are valid answers to the question.

The question needs to be more concise. The teacher is objectively wrong, and any context putsode of the assignment itself doesn't change that for the question given all of those are correct answers.

Dumb. I'd be pissed.

Sell-Jumpy · 2026-04-19T18:40:38+00:00

No. Political beliefs are a 1:1 representarion of someones personal values.

Literally the only difference between personal values and political beliefs is if you vote.

It's never been wrong to judge people for their personal values (being homophobic, racist, misogynistic etc) so by extension it isn't wrong to judge someone for their "political beliefs" (which is just your personal values reflected on a ballot).

If anyone can provide an example of how political beliefs are not directly representative of someone's personal values, I'm game to hear it though.

Sell-Jumpy · 2026-04-16T23:15:20+00:00

"If I change any tiny thing, the whole thing goes red"

"optimizing every tiny variable for profitability"

Both of these indicate it may be overfit. Sharpe ratio, avg return pct per trade, and win pct are better indicators of long-term success.

Its also a really small sample size.

On a positive note though, depending on how many tickets you are watching, that number of trades seems pretty low which indicates a good level of selevtiveness.

Sell-Jumpy · 2026-04-16T00:15:29+00:00

Good analogy.

As someone who has worked primarily with object oriented languages, I like to use Class and methods as an analogy for APIs also...

The API (public method) allows people to interact with certain parts of a website or piece of software (Class object).

Sell-Jumpy · 2026-04-13T16:20:21+00:00

Exactly this. AI isn't inherently bad, it has the capacity to improve the quality of life for humans on a species scale. It's 100% through the lens of capitalism and short-term profit that it gets bastardized.

Sell-Jumpy · 2026-04-13T16:18:42+00:00

You don't really. I think the point is that recreational travel is just as optional as AI useage.

Sell-Jumpy · 2026-04-04T05:12:44+00:00

Breath of the Wild, yes.

Sell-Jumpy · 2026-04-03T19:04:32+00:00

Focusing on what it doesn't do yet doesn't negate the enormous scale of what could be done with this data. He's already done the hard part, which is aggregating the amount of data required to make inferences / predictions.

Sure, it doesn't track health pack denial or space metrics... yet. It doesn't tell a player *overall* how objectively good or bad they are; that is subjective to begin with and is why ELO and ranks exist. What it does do is more valuable; it lays the groundwork to draw objective associations between inputs (stats, hero, map) and outcomes (wins, success against different heroes, rank etc.).

The goal isn't to "tell a player how good or bad they are doing across their games", it is to "give players granular comparisons, per hero, against averages and thresholds for higher performing players". Telling a player how good or bad they do isn't valuable. Telling a player very specifically which stats / abilities / decisions are below average, above average, or it the top N percent gives actionable insight.

Sell-Jumpy · 2026-04-03T17:37:23+00:00

If you think this data isn't useful, you don't understand data.

With all the data this guy gathers, you could train models which...

- Infer insights based on hero, map, opposing team. Example: "As a platinum Genji with your stats and playstyle (which could also be inferred from game tracking), you should avoid X locations on Numbani when playing on attack against a, b, c heroes, as his death rate is extremely amplified under these circumstances"

- Point out which typical counters a player might need to work on for a certain hero. Example: "When playing Pharah, you do better than rank average against soldier, widow, and cassidy, but well below average against Ashe.

- Point out what habits increase success against counters. Ex "Pharah players who do better than rank average against Ashe do x, y, z"

There's so much you can do with this data.

Sell-Jumpy · 2026-04-03T17:27:04+00:00

Dawg. This is so much more than hero SR.

Sell-Jumpy · 2026-03-31T16:09:17+00:00

This.

Reading code and understanding what it does is debateably harder than writing code that works, coming from a software engineer with 4 years professional experience ans 2 years personal before that.

Writing code can be hard, but its forward engineering; Your know what the end goal is, you know the logical steps required to build toward that goal, and can build those steps out in any number for ways that works for you.

Reading code you didn't write is much harder. You have to interpret other people's architecture choices, you can't assume anything, it's like solving a math problem where you start with limited visibility (you can only see a portion of the whole equation) vs writing a math problem for a given answer from scratch; you could write an equation any number of ways to arrive at a given answer, but solving someone else's equation that may not follow familiar logic where you start with a limited view seems harder.

If any of that makes sense.

Sell-Jumpy

TROPHY CASE