skysight-inc/HackerNews huggingface dataset:
I use LLMs significantly on a daily basis, mostly for coding C#, HTML, CSS, SQL. I use them for researching for wiki articles. I use it for summarizing long web pages and science papers. I use them for translation. I used GPT last night to repair my furnace (I've never opened a furnace before).

It (mostly) exceeds and excels at every task I use it for. I'm rarely disappointed. YMMV.

Absolutely life-changing for me.
Musk promises revolution and sells evolution.

Promises FSD, sells EVs.

Promises Mars colony, sells self landing rockets and sattelite internet.

Promises faster tunnel boring, sells smaller tunnel boring machine that drills smaller tunnels.

Promises less corruption and bureaucracy, just fires people.
I'm interested in what you're saying about classical business terms. Can you elaborate on that a little? I've always found these kinds of people hard to understand.

The man has almost unlimited wealth and his motivations seem consistently petty and strange or just downright ludicrous. He's like an alien to me.

I've noted the same feeling when seeing VCs/business people speak when I've encountered them.
Oh and the reason I picked on the Archimedean property specifically is that it had been this that both Leibnitz’”infinitesimals” and Newton’s “fluxions” had handwaved around. They both relied no some sort of non-Archimedean numbers for limits and derivatives to work.

The Archimedean property is that given two numbers x and y there exists an integer n such that nx>y. Infinitesimals and fluxions relied on the idea that they were so small this wouldn’t work and therefore they didn’t fit the definition of real numbers.
The very day your colleagues and your own career are put under jeopardy is a day you will not be at your best. Chaos breeds error, and Trump’s treatment of federal employees is the very definition of chaos.
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Your thoughts are helpfu
My Sony ones have an actual setting for this, the ambient sound mode has a "focus on voices" option and yes, it does help me pick up voices more clearly than usual if there's background noise.
I assume is referring to the mean ageing demographic of those country.
Did they at least seed back?
Linear in what metric?
In the air. If the force applied is not the normal force expected from normal use it might be intended to snap off.
Their 2018 and 2019 losses are $10b each. It would take 10 years of same profit to become net 0 profit.
These probably aren't tasks you need done but;

LLMs are pretty good at translation between human languages which makes sense since they are language models after all. They are better at this any any other technology.

The state of the art image ones can also probably do OCR and handwriting recognition better than any other software though may be expensive to run in large volume. But if you need to take picture of a notebook page with your camera phone an LLM can quickly OCR it.
How do you live in a house without knowing what a hole saw is?
> The Taliban got everything they wanted

So did the US.

> Trump is purely transactional and in the simplest possible way

Realpolitik.
It seems to me that the main enemy of Trump according to Trump is the left/woke. That in particular includes most of the EU political forces which are currently in power there, and Ukraine aligned itself with and have been supported by those forces. Whereis it is also one of the main enemies of Putin, and Putin supports ultra-rights in Europe (and Vance's visit to Munich was significantly in support of the Europe's ultra-right). Thus Trump and Putin, if not full allies, at least "enemy of my enemies".

Thus it isn't "appeasement". Churchill and Hitler were of totally opposing ideology. Trump-Putin looks to me more like dividing "spheres of influence" instead of appeasement. Kind of real estate parcel borders survey.
All those push buttons, flip switches, dials and various knobs make me feel all warm and fuzzy inside.
Where's Tex Johnson when you need him?

https://cdn.shopify.com/s/files/1/2604/4866/files/5aedc13c-3...
At some point, everybody had to learn what a hole saw is for the first time.
>Capitalism with strict regulation?

This gets regulatory captured/lobbied away over by monied interests.

>Profit caps?

This is simply a subset of "capitalism with strict regulation". Implementing profit caps in a manner without loopholes takes detailed regulations and a judicial branch that strictly enforces them. This too will get regulatory captured/lobbied away over time.

Another issue with this is that ironically a proper implementation of this would receive even more pushback than nationalization. Why? Because you have to cap e.g. shareholder returns, otherwise it introduces awful incentives, as we're seeing with this exact case where there's a "profit margin % cap". You'd also need exec compensation caps.

I do have a relatively straightforward idea for this, though I'm sure there are holes in it that I haven't thought of - market cap growth caps. To give an example, let's say we set the cap at 5% YoY. Then if the market cap instead grows 10% in a given year, the company is forced to issue an additional ~5% of shares (of the total number of outstanding shares), which all directly go to the government. The government will then sell these evenly distributed over the next year, on the market.

Feels like this has far less loopholes than any kind of profit or revenue tax.

> “Common carrier” type of deal to allow any player to compete in an energy market, trying to stop behemoth entities from monopolistic?

See above, another subset of the category.

> Non-profit

Ah, like OpenAI? Or the one U2 has in The Netherlands?

>Capitalism with minimal regulation?

This option isn't even worth discussing.

> Government run?

This too can get lobbied away over time, as we've seen, but it takes the longest to do so, and is therefore the correct answer to the question.
For easy things, LLM assist has sped things up a lot for me.

For medium complexity things, I can get them done quickly without manual coding if I have a clear understanding in mind of what the implementation should look like. I supply the requirements, design and strategy and it's fairly easy to "keep things on the rails". The "write a PRD first" hack (https://www.aiagentshub.net/blog/how-to-10x-your-development...) works pretty well. Agent with YOLO mode and terminal access rips, particularly if you have good tests.

For tasks where I know the spec of the feature but don't clearly understand how I would design / implement the feature myself, it's hit-and-miss. Mostly miss for me.

I also haven't had much success with niche libraries, have to stick to the most popular library/tool/framework choices or it will quickly get stuck.
Here's some things I have in my chatgpt history:

- Discussing the various stages of candymaking and their relation to the fundamental properties of sugar syrups, and which candies are crystalline vs amorphous. It turns out junior mints are fudge. Fondant is really just fudge. Everything is fudge, my god.

- Summarizing various SEC filings and related paperwork to understand the implications of an activist investor intervening in a company

- Discussing the relative film merits of the movie Labyrinth and other similar 80s kitsch movies. ChatGPT mentioned the phenomenon of "twin films" which was an interesting digression.

- Learning about various languages Tolkien invented and their ties to actual linguistics of natural languages and other conlangs

- Some dimensional analysis of volumes, specifically relating to things like "how many beans are in the jar" estimation and what the min and max of a particular weight of coins might be valued, in terms of both a par value based on a standard coin mix and outliers of, for example, old dimes that are pure silver.

- Discussion of quines in prolog and other languages, which resulted in a very interesting ChatGPT bug where it started recursing and broke when trying to write a prolog quine.

- Back of the envelope economic calculations around the magnitude of the housing deficit and the relative GDP cost for providing enough housing quickly enough to make an impact. Spoiler: it's probably unreasonably expensive to build enough houses to bring down housing prices by any significant degree, and even if we wanted to, there's not enough skilled workers.

- A number of podcasts transcribed. (I hate audio and meandering, so transcribed and summarized is perfect) I could use whisper and a python script to do this, but I'd rather let ChatGPT do the legwork, and it actually used a more modern model and method of processing than I would have naively used.

I find Github Copilot to be a really great autocomplete. I frequently write the comment at the top of a function and hit tab and it writes the whole function. This is dependent on typescript and having a relatively standard codebase but I think those things are useful on their own. You really have to limit it in terms of scope and specifics, but it lets me think high level instead of worrying about syntax.
Something isn’t open-source because you get everything that went into making it. Something is open-source if you can change it (relatively) easily. The GPL and open-source definition both refer to “the preferred form for making modifications”. The preferred form for modification in the Nvidia driver’s case is the source code. The preferred form for modification in this case is the weights.

Open-source as a concept doesn’t really correspond well with LLMs but to the extent that it does, access to the training data is not required because that training data is not the preferred form for making modifications.
I absolutely hate the Elon hypetrain, but I also don't understand the social media hate I see for AI, like comparing every ChatGPT answer to one wasted bottle of water.

Can we stop for a second and just marvel at a new piece of human ingenuity? Let's not give Elon too much credit, but I think that AI as a whole helps us all understand the nature of intelligence, and therefore humans' place in the universe.

One of the fundamental questions of human existence is: what does it mean to exist and think? Every time we build a new human-like thing it helps us understand the context of our own existence. (Not just computers or AI, but also airplanes, factories, etc.)

True AGI would force us to rethink what it means to be a thinking human being, and I think current LLMs already should and do.
the video was removed
The reason why you need to shovel every written word known to man to make it work is because it needs to learn what words mean before it can do anything useful with them, and we don't currently know any better way of making a tabula rasa (like a blank NN) do that. Our own brains are hardwired for language acquisition by evolution, so we can few-shot it when learning and get there much faster; and if we understood how it works, we could start with something similarly hardwired and do exactly what you said.

But we don't actually know all that much about how language really works, for all the resources we spend on linguistics - as the old IBM joke about AI goes, "quality of the product increases every time we fire a linguist" (which is to say, we consistently get better results by throwing "every written word known to man" at a blank model than we do by trying to construct things from our understanding).

All that said, just because we're taking a different, and quite possibly slower / less compute-efficient route, doesn't mean that we can't get to AGI in this way.
Yeah, I've had similar experiences. I still hesitate if it's a field I don't know too well of course (never trust an LLM), but R1 has been able to solve things I've been stuck on. And watching it's <think></think> process has been insightful. Only issue is that it ties up all my GPUs while I run it.

Hopefully Mistral can copy their technique and give us a 123b reasoning model.
My wife has found ChatGPT extremely useful when dealing with her mother - who has bipolar and is obsessed with other people's health. I've got a terminal cancer diagnosis and handling my mother-in-law has been extremely difficult - nearly to the point of no longer having any communication with her. ChatGPT has a single conversation with all the back story and has put some useful points across when discussing how difficult her behaviour has been (she watched a operation that failed for me for entertainment, for instance).

I have found similar when giving backstory and needing help to start structuring difficult conversations where I want to say the right thing but also need to be sensitive.
seriously reminds me of https://xkcd.com/927/

if im doing color-anything, i do enjoy manipulating the raw colors over any integer representation of them, then sending whatever code i need back to whatever.

im more irk'd at the main linked page, shows up nice and dark background, then scroll down a hair and its back to staring at the day-star, ie white background and eye killer. why oh why? ha, if i scroll up and down fast enough its like a strobe light. weeeee.
and there was another HN page related to oklch themes yesterday that did the same thing; making me improperly biased already.

please folks, dont make a mess of my dark mode
The bulk of his wealth is the Tesla stock. I know that SpaceX produces value. Some of his ventures do. But the image of a genius entrepreneur is way more valuable than any government contract he might get.

Remember he was way less crazy before his market cap skyrocketed. Now he can afford being polarizing as a PR strategy once his fanbase has reached a certain critical mass. He’s been constantly testing what works.
I'm very sorry if this isn't the case, but this message really feels LLM-written.
We can all thank Gwynne Shotwell for this though.
There is mainstream browser support for name constraints now?! That is huge, I had given up hoping for adoption progress already and was one of my major gripes regarding web stagnation.
Trust is a strong word, but there are levels of hell
Pulling back the curtain on the magic of Y Combinator
Im going to try do what you described. But if you happen to write down the steps I'm interested. I hate that to post photos or chat with friends I have to be exposed to reels.
I didn't know snapper supported LVM. That is nice. OpenSUSE's installer probably doesn't support it with its snapper setup though. Default is / btrfs and allowing snapshots if the disk is big enough. (More than 30gb?)
Making my debug build run 100x faster so that it is finally usable
Not saying you're necessarily wrong but can you provide a source on the list of most popular ideologies in the US you reference?
> What happens when it is at end of life? Does it get removed?

Good question. I recon it just stays on the sea floor, if it's less profitable to remove and sell. Although they might probably pull just those sections in shallow waters and then leave the rest on the sea floor.
I think a lot of that comes from people thinking the eye-catching memorable views they've read are the most common views. When they're really not and are mire likely just the views of the most passionate 1%.
Can you check for me how many hundreds of trillions the US spent in Afghanistan and what they got for it?

18 years,
More than $2Trillion,
For nothing.

What sort of transaction were you hoping for? Another 18 years commitment?
> Fox News covered it a little bit.

Those were just the stories I could find in 5 minutes.

Also previous presidents didn't issue nearly as many EOs with nearly as controversial content which gives rather less for people to complain about (and yet they still did.)
I'm sorry for your situation.

> she watched a operation that failed for me for entertainment, for instance

You make your own choices, but cutting a person like this off would be very reasonable
You need an X Premium Plus subscription on Twitter.
Most of these claimed “open” models are not open source. Some of them are open weights. But even some of the ones that share weights are not really open - they force a restricted license on you. To be open source I think they need to share training data and training code under an OSI approved license.

AI2 has a model called OLMo that is actually open source. They share the training data, training source code, and many other things:

https://allenai.org/blog/olmo2

They also released an app recently, to do local inference on your phone with a small truly open source model:

https://allenai.org/blog/olmoe-app
Deleting the key immediately should be safe enough.
Gwynee Shotwell works for Elon Musk.
finally, after two years of hype I have some usage for llm.

we import descriptions of products from a seller. the problem is they are mental ( probably written by chatgpt :)) and are way too long. we need only small blurb.

I put our style guide and given text to chatgpt and I get somehow reasonable description back. then editors still need to check it, but it's way less work.
I can still use Kindle Scribe exactly the same as before the Jailbreak. Think of it this way - before it had Library (for reading and annotating Kindle books) and Notebooks (for writing). Now it has a third thing - KOReader (for reading only, KOReader doesn’t support handwriting annotation).
You've got to see the whole production, not just a few selected cases. As they say, the exceptions confirms the rule.

While there are good examples, many people might not be currently familiar with them.

Btw, I'm just explaining why the impression of Chinese products is there and why it doesn't have to be rooted in preconceptions Chinese people as a whole.
SpaceX is not where most of his valuation comes from: it principally comes from Tesla stock, which is vastly, hilariously overvalued compared to it's performance as a car company, and definitely compared to it's performance as a technology company.

Even more importantly, analysis of Elon's tweeting patterns versus Tesla stock valuation makes the why Twitter became so central to him obvious[1] - it was a massive driver of Tesla stock value. Buying it was a good move from the perspective that he really couldn't afford to be banned from Twitter.

[1] https://www.sciencepublishinggroup.com/article/10.11648/j.ij...
What's the point, though? If it doesn't actually do anything, why keep it on?
TIL it comes from:

"1754: coined by Horace Walpole, suggested by The Three Princes of Serendip, the title of a fairy tale in which the heroes ‘were always making discoveries, by accidents and sagacity, of things they were not in quest of’."

Btw thanks for picking nits. New things can be learned no matter what
I'm pretty sure it's a very wide angle camera and the operator is panning through the recording in a software viewer.
The classic business is about producing valuable economic outputs and creating a stable revenue flow from bringing them to market.

The modern era post-business is about dipping into everyone’s pockets, by securing cash flow from the stock market and the government.

Here building a profitable business model is less important than convincing people and the government to give you that dough. And the best way to do it is to have clout.
My friend wrote it. I’m reading a draft. I’ll ask him if he’s willing to share more broadly, but it’s probably too early
> anywhere but places with the most dense rail networks per sq km

It seems to be the contrary to me. In Japan or France (in the denser places of these countries, because they have plenty of low density areas) building a whole new dedicated rail network was (and still is, see the Bordeaux-Toulouse LGV project) a major undertaking because there's no way to avoid built-up areas. The high-speed lines go from city center to city center, and we're talking about Paris and Tokyo here.

The Shinkansen and TGV use dedicated rail networks, that are built from scratch and are still being expanded. TGV can use legacy lines as well at low speed (including at grade road crossings, although these have almost completely been replaced today) not sure about Shinkansen.

In contrast, it seems to me like it should be easier in the US to find space for cheaper bypasses, tunnels and bridges since it's less dense.
> People just use words in a way that's convenient to them.

Literally how language has always worked and evolved, though.
There's also the other time the rationalist community made national news, when a similar cult accidentally gambled away ten billion dollars in cryptocurrency.
Doesn't really explain why it happens universally and why this doesn't happen after other major changes in lifestyle (people who move to a radically different country don't lose all memories of their life beforehand).
See my other comment. Some of his ventures do produce value. That’s not where the money comes from.
> Let's note the absurdity of moving your washer and dryer to a new house. Those should stay with the house like refrigerators and dishwashers.

Oh hell no. You never know how the old renter treated the machines - for people with sensitive skin for example it can be a big no-no because the old renter used fabric softener by the truckload, never used dedicated washing machine cleaner (if you don't do this at least once every few months on maximum temperature, the insides of your machine will eventually stink horribly as bacteria develops an outright biofilm), or if the dryer vent has ever been cleaned.

The latter one in particular is a very nasty source of fires.
I didn’t get that advanced yet. I’m trying to figure out the Dropbox integration at the moment. I don’t use Calibre. I know highlighting works (I’ve annotated the PDF I’m reading), but I didn’t test highlights export / sync yet.
Are you saying it's closer? Or do you refer to using time instead of distance?

Even if you live in a city, getting to a hardware store usually takes at least 15 minutes unless you really live like right next door. Usually takes longer. Distance is a bad measure of the time it takes.

One can easily overestimate how fast walking and taking public transportation is and how close hardware stores are to people, and underestimate how fast cars are.

As a real world example you can consider this:

From a small village called Luvia, Finland, it takes 18 minutes to drive 19 km to a general purpose hardware store (K-Rauta Pori), while it can take easily 30 min to an hour to traverse this on foot from Pori city center (ie carrying everything yourself), or at least 16 minutes if you conveniently live right next to a bus stop (and there's absolutely not just a few minutes between rides).
Is this the first time you're hearing Elon Musk speak? His entire public presence consists of stuttering out vapid stentences like these.
You need to sprain both knees or ankles at the same time and then use one as the control.
Everyone seems to have a different definition for AGI. Is there some kind of standard there?