Yes. It works.

Just the regular browser. It just works.

I struggle to understand how you guys in the US missed the signs. I mean… stuff like “they are eating the dogs” should sparkle some doubts, right?

The problem is that once it will be normal to request IDs for porn, the same will be extended to everything else with excuses like “let’s do it for the kids” or “if you don’t have anything to hide…”.

VPNs… yeah sure, until there will be a crackdown on those too.

Also a reminder that woke is used negatively by the same people who cannot tell the difference between badly photoshopped letters and a gang tattoo.

The ghost of a nerd died in 1998 adding animated gifs to your website while you sleep.

Fertility drops sooner than what people think, and that includes the quality and quantity of eggs that can be produced for in vitro fertilisation.

Check how frequent the donation of eggs is, especially for women beyond 35 and consider that today it’s relatively common to have the first kid around that age.

Freeze your eggs by the age of 25

Once they told me that the biggest difference between good investors and bad investors is the amount of capital they can move. Good investors have large capitals that can absorb market drops and then rise again. Bad investors are wiped out by small fluctuations. In other words, what works for who drives large funds will hardly work as well for the average bloke. Keep it in mind whatever you read.

Assuming that you wouldn’t ask here if you had large capitals, I recommend you to keep it simple and invest in funds with low commissions (like ETFs) tracking something like companies with very solid brands that will never go out of business (like Coca Cola). With 4/5 points of return above the inflation over 10/20 years you’ll have good results.

If you feel lucky, put 5-10% in something high risk high reward and be prepared to lose half of it. Read whatever you find to understand the jargon (e.g. what’s a “synthetic” ETF) and you should be fine with those simple tools. Don’t forget to study the fiscal aspects, especially in regards of dividends and capital gain: often there are two version of the same fund, but one is more “fiscally efficient”. Last advice: keep aside cash for emergencies because you don’t want to sell your positions in the middle of a crisis.

I’m not a fan and sometimes they are full of BS, but you can check forums on FIRA (for early retirement).

Everything will be ok.

Are hiring managers actually less likely to hire women if they ask for market-rate pay, as opposed to men when they do the same?

If instead of giving passive aggressive replies you would spend a moment to reflect on what I wrote you would understand that ChatGPT reflect the reality, including any bias. In short the answer is yes with high probability.

LLMs do not give the correct answer, just the most probable sequence of words based on the training.

That kind of studies (because there are hundreds) highlight two things:

1- LLMs could be incorrect, biased, or give fake information (the so called hallucinations). 2- the previous point stems from the training material proving the existence of bias in the society.

In other words, having an LLM recommending lower salaries for women is a proof that there is a gender gap.

Almost got fired once when a close colleague spread rumors to put her failures on me. I never got to know precisely what she said but it was “extremely bad” and in the realm of harassment (not sexual, but still…).

The management was not sure and did not involve HR to make it formal. I felt under scrutiny for a while, so I kept all the communication to a minimum, strictly professional, not even an emoji or a joke about the weather, all in writing when possible and including other people every time it was possible. It was horrible and stressful. I considered to quit or to ask to be moved since interacting with her was part of a daily routine, but I feared that it could be seen as an admission of guilt.

Eventually she was fired in a round of layoffs and that was the end of it. Later I discovered from some colleagues that they never believed that shit, but nobody stepped in to say anything.

That’s the reason. At the time HTTPS was not a thing.

Possibly one of the few survivors of that period: http://www.milliondollarhomepage.com/

You sort of described RAG. It can improve alignment, but the training is hard to overcome.

See Grok that bounces from “woke” results to “full nazi” without hitting the mid point desired by Musk.

The study wanted to highlight the bias, not to recommend ChatGTP’s advice

More because of US regression (note: it was a joke)

The problem is to use LLMs for the wrong things expecting correct answers.

I do not believe that LLMs will ever be able to replace humans in tasks designed for humans. The reason is that human tasks require tacit knowledge (=job experience) and that stuff is not written down in training material.

However, we will start to have tasks for LLMs pretty soon. It was already observed that LLMs work better on stuff produced by other LLMs.