accidc

Not everyone might be aware of what you are talking about. Would prefer some Context

Sometimes our tastes change as we age, or vice versa: our tastes remain the same and the world has moved along.

Just to say we all have nostalgia and the good old days are never coming back.

Essentially, its a game of capital and solar is accessible to (almost) every human household on the planet.

Additionally, zeroish fuel costs/operational costs, grid connection is optional, capacity to build panels is not controlled technology, raw materials are relatively cheap. So scaling production further or bringing it online is not otherwise constrained.

Nuclear can still can be strategically important as rock solid base load and for grid stability.

In the future, with better understanding and control over nuclear physics, nuclear one day might be as cheap and plentiful as batteries, but for this cycle , solar has essentially ‘won’

Could you list a couple of things you find wierd? Wondering if its worth switching

Mind sharing a source? Anecdotally, the Canadian job market is brutal (barring some sectors)

Also pedantic but: it’s jurisdiction dependent

I wonder if it can do board games (or similar), there are no examples of that (not allowed to test)

They definitely know why, otherwise they wouldn’t be able to tell who to 403 vs not. They obviously dont care to tell you because of ‘security’.

This dismissive contemptuous attitude is typical of all big tech, all your value is just reduced to data generator to be mined, without any other regard.

I grew up in the third world. Agree with this comment.

Also my personal belief is that courtesy is a luxury born of abundance. I have observed how minor ‘scarcities’ in the advanced economies can surface behaviour that some would attribute to less developed places e.g. an unexpected slew of cancelled transit

We could always build, more reliable software. The powers that be however (broadly generalizing) only care about solving the ‘problem’ superficially.

Therefore, we will end up with requests to do more (at the current level of quality/ reliability), as opposed to building better software

Or if it becomes commercially valuable, then you can expect Google to take a third direction (embrace, extend, extinguish) : a la their current approach with android

In Canada , it wasn’t limited to areas with economic struggles/lack of investment.

Most of the investment was in major metropolitan cities, leading to a statistically significant percentage of residential housing stock being bought up with foreign(imported) capital. Many of these units were subsequently used as store of investment (left empty)

Since policies did not support building at the pace that met increased demand(mainly immigration), and many foreign buyers were comfortable bidding up housing: this was a significant contributor to housing prices inflating to mutiples that were much higher than previous trends (i.e. upto 20 times median salary vs 5/7 times previously)

And the foreign buyer ban did lead to a measureable decline in prices

Anyway,

What a leap of judgement

How near/far is that future ?

Cuz what if a human has to intervene as the LLM can’t get it right?

Assuming a human then has till be able to comprehend it?

It depends. A driver may have seen a child dart behind a car and expect them to emerge on the other side.

Does Waymo have the same object permanence and trajectory prediction (combined) to that of a human?

Once the video evidence it out, it might become evident.

Generally Waymo seems to be a responsible actor so maybe that is the case and this can help demonstrate potential benefits of autonomous vehicles.

Alternatively, if even they can't get this right then it may cast doubts about the maturity of the entire ecosystem

Very cool. I did something extremely similar for a personal project.

However, I was not familiar with Swift, the app was more or less vibe coded.

My next goal was to learn swift patterns to refactor the app into something that was understood and robust.

I will be reading though your sources to understand production quality Swift!!

I think nuclear has parallel to mainframes. Capital intensive, long lead time, expensive to operate/maintain/dispose and practically irrelevant in the day of distributed (computing) generation and storage.

It’s uncanny how the narrative rhymes: we have insanely capable portable computing devices at price points that are accessible to every person across the planet. Similarly, distributed generation (and storage) are already bringing electricity to people who have no real chance of being on the grid ever.

I see no way the economics working out for nuclear, except for niche uses.

I can even imagine the grid being something relegated for long range / high intensity applications (instead of household distribution) in a few hundred years

No. You are likely and automatically extrapolating the attention to detail seen in the outcome into believing that it is a reflection of the attention , thought and method of their internal workings.

Which is a good indicator, but you can’t be sure of. Additionally you may imagine liking it but not enjoy it in life, even if true.

I captured a very similar thought in the footnotes of one of my comments here.

A numerical distillation of our aggregated thoughts will live on for potentially longer than any ordinary person could have hoped for (and maybe wanted).

We actually get our own slice of immortality.

Do you have a preferred/recommendation for a NAS OS?

I think naming things co-pilot is getting excessive. Its just diluting your potential brand with MSFT and the term itself seems to be meaningless now.

While MSFT may not own co-pilot, they definitely control the mindshare.

See also: https://news.ycombinator.com/item?id=42781316

As long as we understand that the ‘want’ may originate beyond what individuals desire. e.g. the state may want agricultural production to be in-house for food security or have sufficient industrial capacity for national security

So these measures (public/investments) would be instituted to fulfill these ‘wants’

Within the article, he details his attempts to get clarity/feedback and the response of the hiring manager is as vague as it gets

“but to deal with ambiguity and open-endedness, which is essential in R&D projects like Kagi Labs”…. Also based on the nonsense responses by the hiring manager, it sounds like one of 2 things

Either someone had a vision and is saying ‘Read my mind’

The alternative explanation seems to be, there is no vision, and the interviewee needs to define it.

In either scenario, the amount of communication, feedback, specificity, lack of respect for the power dynamics is appalling.

not sure if this is the right place to point out, I tried installing the windows store version but it seemed unavailable. I am wondering if the app is restricted to only specific regions.

Certainly! Its just that now I can objectively discern the difference in responses (lack of made up citations): while earlier it was merely a feeling of mine that chatGPT was getting 'worse' somehow. And I feel the loss of a fairly useful tool. Consequently I am voting with my wallet.

Thanks, I do intend to explore the API when I have time. For now, ChatGPT was the lowest 'effort' (just throw money at it) in terms of exploring/leveraging LLMs. I sincerely hope the API exposes the real gpt, I read a twitter thread about a new content-filtering attributes being introduced in the response

I am certain a sanitizing layer has been added over chatgpt[1], which makes it all but useless. its responses are too deterministic now. Earlier, it used to happily regurgitate studies that did not exist and provide made up links. This was actually still very useful as key terms from the response could then be used to formulate searches that would bypass the garbage that typically turns up in google (or other engine's) front page.

Now any request to chatgpt start with a long-winded spiel about its cutoff date, another one about how not to trust it and ends with another one about how one might perform a google search. Another commenter here noted that it sounds most like a clickbait article generator.."Here are 5 extremely generic things you need....". It will continue to happily apologize and ignore any instructions that you provide it to the contrary

I have cancelled my subscription. I guess I just need to rant as it was the first tool that allowed me to move away from google. It was the first tool that allowed me to augment my capabilities. I guess, now its just as good[2].

[1]<https://news.ycombinator.com/item?id=35983824> [2]<https://news.ycombinator.com/item?id=36373854>

P.S: Just before posting this rant, I just realized this comment is going to be used to train a future model. A part of my 'soul' is destined to live a rather long time as a part of a set weights in some model. The absurdity of that makes it extremely humorous, will AIs be able to self-amuse (chatgpt helped me find one word that means to make oneself laugh) ?

A piece of advice from someone who wanted to work at startups.Having realized that its unlikely that my skills will translate to doing well at startup interviews, its only pragmatic to not pursue that path. But my end goal is not to work at a startup, its to keep learning and to stay relevant/employable and those can be done outside of a startup.

Any interview that is structured like a test is a bad interview. Starting your relationship with an abusive process will set the tone of the relationship and I applaud all those who have walked away from interviews that make one jump through hoops. From personal experience, The last interview I took lasted 40 minutes and the person we hired is the best developer I know.

I was never confident at giving interviews until my mindset changed from it being a test to an exchange where someone who needs help is trying to get together with me, someone who can help them. They should able to explain to me how they see me helping them. Questions like: 'what is your biggest challenge right now' or 'if I were hired, what would be the first task' help start that conversation. They obviously will do their due diligence and I need to do mine (collaborative environment, sane hours, reasonable pay, competent management etc.)

All of the above is opinion.

There have been a few articles on the hiring/interviewing practices. As someone who has not worked/interviewed in a startup, I have a few rhetorical yet sincere questions:

Does every startup implement their own algorithms etc. from scratch. Isn't it the reason why we have libraries? I thought most software was mostly glue/crud.

Do engineers at startup only code? Do they never talk to customers or need to clarify requirements or work on timelines or deal with scope creep, since it seems that these skills aren't evaluated at interviews.

If the answer to these questions is what I think it should be, to what end do we have this dog and pony show?