skysight-inc/HackerNews huggingface dataset:
You are trivially incorrect.

LLMs (unless used in deterministic mode, which you shouldn't anyway) will eventually generate all ideas for the same reason as 1_000_000 monkeys on typewriters will eventually generate War and Peace. The question is only how soon in practice this will happen.

Well, I am nearly certain, that 1_000_000 LLMs (or rather 1_000_000 streams of generation using a few LLMs) will do better than 1_000_000 monkeys on typewriters.

The same 1_000_000 LLMs could do better than 1_000_000 average humans, but we don't know yet.
>> secret angle

> Also called "phase" this is the thing there is to "see" : It has a definite value for a single experiment, but every time you do the experiment it has a different value. It behaves like a random variable and that's what allows you to replicate the behavior of what QM does by generating random numbers. That's the subtlety that makes it so that Bell's theorem don't apply.

That's standard local hidden variable theory. Bell's theorem apply.

The problem is that the device that is used in the article gives the wrong prediction for a beam with 50% vertically (φ=0) polarized light and 50% horizontally polarizad light (φ=90°). What is the ratio of selected photons as a function of the angle a?
Isn't the biggest usecase for B-trees in environments where we don't hold the data in memory (i.e. databases)? There the block size is optimized to balance the cost benefit of one more disk seek vs one more list traversal.
Why the hell would you buy this when a Metcal is the same price (new PS-900 or second hand MX)?!?
Nice! Thanks, these seems to be the most popular types. Do your bevel tips have a dimple in the middle? It is very useful to contain a drop of solder even when dragging the tip over flat surfaces.

> we set up the Power Station to handle two irons

Having two handles is useful sometimes, but quick changing tips are a game-changer even for double jbc stations )
> Everyone on GLP-1s? Is that a future most people actually want?

I want a future where people aren't dying of cancer, cardiovascular disease, losing limbs and eyes to diabetes, getting strokes and where they're living long and healthy lives. I don't really care so much about the means. GLP-1s are the only proven non-surgical intervention that allows people to lose a clinically significant (>5%) amount of weight and keep it off long-term (>5 years).
Nespresso pods are readily recycled aluminium, rather than the plastic of K-Cups.
Interesting - I wasn't aware, but even avoiding the PCI bus the performance must have been lacking as that link talks of "memory tiering". I guess this was "mid tier" somewhere between SSD and DRAM, which is a bit of a no-mans land especially in terms of conventional systems architecture ... really just a fast type of storage, or storage cache (a bit like a hybrid SSD-HDD drive).
That's odd. Tried several times with the same prompt and always got the correct answer with step by step explanation.
Third Time: a better way to work
They claim it's available in ChatGPT Plus, but for me clicking the link just gives GPT-4o Mini.
Looks like the Blob will know everything you do on Windows 11 now if it already doesn't have that amount of access.
My two cents thinking about different scenarios:

- AI comes fast, there is nothing you can do: Honestly, AI can already handle a lot of tasks faster, cheaper, and sometimes better. It’s not something you can avoid or outpace. So if you want to stick with software engineering, do it because you genuinely enjoy it, not because you think it’s safe. Otherwise, it might be worth considering fields where AI struggles or is just not compatible. (people will still want some sort of human element in certain areas).

- There is some sort of ceiling, gives you more time to act: There’s a chance AI hits some kind of wall that’s due to technical problems, ethical concerns, or society pushing back. If that happens, we’re all back on more even ground and you can take advantage of AI tools to improve yourself.

My overall advice; and it will probably be called out as cliche/simplistic just follow what you love, just the fact that you have an opportunity to pursue to study anything at all is something that many people don't have. We don't really have control in a lot of stuff that happens around us and that's okay.
it depends who's doing the simple reasoning. Richard Feynman? yes. Donald Trump? no.
Unfortunately, this is far to common with Stripe. Stripe shut down my previous SaaS without warning or explanation, and later turned it back on after admitting they accidentally shut it down. It was almost a death sentence for my business.

I built OpenPay (getopenpay.com) so you can flexibly move between payment processors without losing a cent of revenue. Happy to get you set up for free, and help you migrate from Stripe. Feel free to reach out to me at lance [at] getopenpay.com

We've helped dozens of people in your position. We can help you quickly transition the code you've written (our API is basically the same) and make sure this never happens again to you
The advice is unrelated to the model and related to the last year's worth of development. In any case I am advising a relook which is perfectly warranted for anyone pre-university or in university.
Unlike the replies here I will be very honest with my answer. There will be less engineers getting hired as the low hanging fruit has already been picked and automated away.

It is not too late. These LLMs still need very specialist software engineers that are doing tasks that are cutting edge and undocumented. As others said Software Engineering is not just about coding. At the end of the day, someone needs to architect the next AI model or design a more efficient way to train an AI model.

If I were in your position again, I now have a clear choice of which industries are safe against AI (and benefit software engineers) AND which ones NOT to get into (and are unsafe to software engineers):

Do:

- SRE (Site Reliability Engineer)

- Social Networks (Data Engineer)

- AI (Compiler Engineer, Researcher, Benchmarking)

- Financial Services (HFT, Analyst, Security)

- Safety Critical Industries (defense, healthcare, legal, transportation systems)

Don't:

- Tech Writer / Journalist

- DevTools

- Prompt Engineer

- VFX Artist

The choice is yours.
Man I’d love to get this semi-affordably in Europe. Such a cool product. I use a Cafelat Robot for my morning brew and it’s consistently the highlight of my day. Manual espresso rules
My first thought with this is that AI would be directed to figure out exactly how little people are willing to work for, and how long, before they break.

I hope I’m wrong, and it instead shows that more pay and fewer hours lead to a better economy, because people have money and time to spend it… and output isn’t impacted enough to matter.
If you're just there to churn out code, then yeah, perhaps find something else.

But if you're there to improve your creativity and critical thinking skills, then I don't think those will be in short supply anytime soon.

The most valuable thing I do at my job is seldom actually writing code. It's listening to customer needs, understanding the domain, understanding our code-base and it's limitations and possibilities, and then finding solutions that optimize certain aspects be it robustness, time to delivery or something else.
Existing supervisors use 0, so when x86 virtualization was invented they added -1 for hypervisors. and so... are the monitors running on ring -2 ultravisors?
Obviously the idea is to live longer with good mental and physical health.

There's no point in living longer if your faculties are too degraded to enjoy it, you may as well just be dead.
How many places actually accept them though?

Also nestle is a terrible company for the environment and human rights.
I mean, we want to live longer and not get dementia.

I wanna know what happens. I want to download my brain into a computer and see what humanity does over the next couple million years.
This. There are tasks where implementing something might take up to one hour yourself, that you can validate with high enough confidence in a few seconds to minutes.

Of course not all tasks are like that.
It’s not the identical product but it’s fairly similar. Nespresso accepts their used pods back for recycling, and they are made out of metal and not just plastic, but they are owned Nestle and who knows how well they actually recycle that shit.
Thanks.

Now go check the "History" section of that article; which, by the way, takes up about half of it.
The corresponding blog post covers this a bit:

https://planetscale.com/blog/btrees-and-database-indexes

In short, B+trees are good because the nodes can be set to match the size of a disk page.
You seem to think `X -> Y|Null` and `X|Null -> Y` have to be equivalent, but that's not the case. The second function type has a more general input type and a more restricted return type. And a function which can accept X as an input can be replaced with a function that can accept X or Null (or X or anything else) as input type. And a function which has can return types Y or Null (or Y or anything else) can be replaced with a function that can return type Y. Old call site code will still work. Of course this replacement only makes sense if it is possible to improve the function in this way from a perspective of business logic.

> I may still be thinking about this incorrectly. Do you have an language in mind that contradicts this?

Any language which supports "union types" of this sort, e.g. Ceylon or, nowadays, Typescript.
I've always wondered about this. Apart from the small fine dining market, people just want decent food at a decent price and timeliness.
I think this new model is a generational leap above Claude for tasks that require complex reasoning.
If you’re any good at SWE with a sprinkle of math and CS, your advantage will get multiplied by anywhere from 2 to 100x if you use the leverage of co-intelligence correctly. Things that took weeks before now easily take hours, so if you know what to build and especially what not to build (including but not limited to confabulations of models), you’ll do well.
To save me watching the video, can you articulate why you believe that Marx was influenced by Gnosticism and Hermeticism?

Is this the Popperian "Plato was an enemy of open society"?
I disagree that the 'arcane sigil invocations' are necessarily a problem. Yes, they can be, but I also think they can definitely be preferable!

Naming everything as a function often leads to a problem of very deep visual nesting. For example, map-then-filter can be written as "filter p . map f" in Haskell, whereas in sigil-free languages you'd write a mess like (lambda (x) (filter p (map f x))) in Lisp or "lambda x: filter(p, map(f, x))" in Python.

Of course, function composition is a very simple case, but something like lenses are another less simple case where a library would be unusable without custom operators.
No, the taxi is NOT responsible for anything. Only people can be responsible.
Perhaps you can show me where you think I said SpaceX shouldn't be subject to regulatory oversight.
I can't even fathom the utter despair of losing a child, and then beyond that to be hounded, "investigated," and arrested for it, constantly forced to relive the worst moment of your life on top of the unbelievable grief of losing your child.
Not to be pedantic, but there isn’t any evidence he ever actually said that. It’s also used as justification for all sorts of bad business decisions that could have been solved with a tiny bit of research first.
Why is this unfortunate? If it weren’t true and people could separate the things, would we really be better off?

I ask because this guy s a common lament, but I’ve never figured out why. It shouldn’t be a surprise or (to me) disappointment that the fidelity of a communication also carries signal about the status.
Hmmm… yeah I can see the problem there, and the “perks” while heavily implied are ephemeral from an organisational standpoint. So probably a no-go.
But excel eliminated need in multiple accountants. One accountant with excel replaced ten with paper.

Chatgpt already eliminated many entry-level jobs like writer or illustrator. Instead of hiring multiple teams of developers, there will be one team with few seniors and multiple AI coding tools.

Guess how depressing to the IT salaries it will be?
The fastest maze-solving competition on Earth
Unhappy workers may reduce global GDP by as much as 9%, Gallup estimates
Settings -> Library -> Disable Community Content ? I don't know about locking access to the setting though.

...oh - that only prevents it being shown by default, there's still a button to load it.
I'm wondering if the opposite might happen, that there will be more need for software engineers.

1. AI will suck up a bunch of engineers to run, maintain and build on its own.

2. Ai will open new fields that is not yet dominated by software. Ie. Driving ect.

3. Ai tools will lower the bar for creating software meaning industries that weren't financially viable will now become viable for software automation.
1. Not many competitors, but each competitor offers about a $500/mo plan that allows ~10 users.
2. We have greater accuracy and detail in our analysis. This has been proven with sample data and they agree that this is true.
3. $500/mo seems too much on the low-end for this. I'm not sure what "high" would be for a bank.. $5k, $10k?
4. I would like to bill this as an annual contract with monthly, quarterly, or annual payments. Current SaaS users are billed monthly or annually. Since they'll be self-hosting this, they will be responsible for user management and access. I will not have access to their internal systems.

The root of the pricing problem is we charge based on usage. If they self-host, we won't be measuring that usage as the tool will run without network connectivity.
> How many places actually accept them though?

The company itself has a recycling program; you can mail them and some stores accept them.

> Also nestle is a terrible company for the environment and human rights.

Agreed, but so's pretty much everything else we buy.
Obviously San Francisco
As others said, obviously the goal is to live longer in good health. As for why, because.. I like living. Why would I not want to do it for longer?
It doesn't do the 'thinking' in English (inference is just math), but it does now verbalize intermediate thoughts in English (or whatever the input language is, presumably), just like humans tend to do.
In "HTML Snake" the video cuts just as the snake intersects with the obstacle. Presumably because the game crashed (I can't see endGame defined anywhere)

This video is featured in the main announcement so it's kinda dishonest if you ask me.
I absolutely hate nutritional studies.

My first quibble is: honestly an 8 hour window for eating is pretty large, that's like, late breakfast, lunch and dinner. Is that fasting? It seems like kind of a normal eating schedule.

My first thought when I read something like this is "why would it be severely detrimental" and the first response is "the kind of people who are overweight are the ones who are going to be trying new diets to lose weight, and being overweight in the first place is severely detrimental to lifespan." Controlling for that, there may be something further confounding, for instance.

People skip breakfast all the time, and skipping breakfast leads to a 60% increase cancer risk. Peter Attia has a writeup on this [1]. Turns out, the people who skip breakfast are far less health conscious. People who skipped breakfast were 3X as likely to smoke. As he says, 'health and lifestyle characteristics between groups can either mask or exaggerate the association between frequency of breakfast consumption and mortality.'

I'd be very surprised if a kinda normal ish eating schedule led to a materially worse outcome when properly controlled. But proper control is damn near impossible in nutrition studies.

[1] https://peterattiamd.com/does-skipping-breakfast-increase-th...
I meant it's not about breastfeeding vs formula.
Asus ROG Ally X review: Better performance and feel in a pricey package
The current status, IIRC, is that recycling in New York accepts Nespresso pods, and in the rest of the US, Nespresso offers free pre-paid shipping bags which you can fill with used pods and drop off at UPS, who will then return them to Nespresso for recycling. They also accept pods at their store locations.

Not sure what the deal is in other parts of the world, if Nespresso is sold there.
Absolutely. You just need integer implementation of fixed point for evenly spaced data.

For irregularly spaced data, you need exp(-t), but that isn't hard to do with fixed point.
Absolutely on heat pumps and EVs. At least in most areas.
Accountants still make plenty of money. Expertise in Excel also pays well independently of that.
I think the industry will bifurcate along the axis of "doing actually novel stuff" vs slinging DB records and displaying web pages. The latter is what I'd expect to get disrupted, if anything, but the former isn't going away unless real AGI is created. The people on the left of that split are going to be worth a lot more because the pipeline to get there will be even harder than it was before.
"Using a CF Tunnel implies that all SSL encrypted connections will be decrypted by Cloudflare, the connections data exists on their servers in plain text and then is re-encrypted for the transport to the user."

https://www.reddit.com/r/selfhosted/comments/133rr6n/about_c...

Is that true? Then third party doctrine would apply and you have to trust them more right?
People want more healthy years.
Guy built 300 apps in 3 years
1673 ELO is wild

If its actually true in practice, I sincerely cannot imagine a scenario where it would be cheaper to hire actual junior or mid-tier developers (keyword: "developers", not architects or engineers).

1,673 ELO should be able to build very complex, scalable apps with some guidance
Why Whole Foods Bags Have Shrunk
Because none of your other majors will hold up much longer. Once software engineering becomes fully automated, so will EE, ME, applied math, economics, physics, etc. If you work with your hands, like a surgeon or chemist, you'll last longer, but the thinky bits of those jobs will disappear. And once AI research is automated, how long will it be until we have dexterous robots?

So basically, switching majors is just running to the back of a sinking ship. Sorry.
> In order for AIs to fit into our society and behave ethically they need to know how to flag that thought as a bad idea and not act on it.

Don’t you think that by just parsing the internet and the classical literature, the LLM would infer on its own that poisoning someone to solve a problem is not okay?

I feel that in the end the only way the “safety” is introduced today is by censoring the output.
I am not sure if it would map to dementia, but:

> The results highlighted a significant slowing of aging indicators, notably a roughly 6-year regression in brain aging.

And some people call Alzheimer's type 3 diabetes. So there could be something protective?
Even if that were possible, and theoretically we could take the entirety of a person's brain and emulate every synapse into digital storage, along with enough compute to run everything (which is a massive hurdle to overcome), would it really still be you?

I kind of think about it a bit like the transporter deck from Star Trek. Are those people really travelling somewhere else or are they getting cloned and then done like Hugh Jackman at the end of The Prestige?

How would anyone even know? A computer simulated you would seem like you to everyone else, but you'd already be gone.
The exciting thing about these findings is not that the monkey's live longer, it's that their brains aged slower.

---

Highlights:

• Metformin prevents brain atrophy, elevating cognitive function in aged male primates

• Metformin slows the pace of aging across diverse male primate tissues

• Metformin counterparts neuronal aging, delivering geroprotection via Nrf2 in male primates
LIME and other post-hoc explanatory techniques (deepshap, etc.) only give an explanation for a singular inference, but aren't helpful for the model as a whole. In other words, you can make a reasonable guess as to why a specific prediction was made but you have no idea how the model will behave in the general case, even on similar inputs.
You can't ignore the fact that literally studying coding at this point is so demoralizing and you don't need really to study much if you think about it. You only need to be able to read the code to understand if it generated correctly etc but when if you don't understand some framework you just ask it to explain it to you etc. Basically gives vibes of a skill not being used anymore that much by us programmers. But will shift in more prompting and verifying and testing
Do you enjoy making computers solve problems? If yes, continue. If you hate it and are in just for the money… I’d say flip a coin.
> Everyone on GLP-1s? Is that a future most people actually want?

If it's a net positive to my life what is the problem?

You have a very dismal view of the world, it is possible to enjoy one's work, or at least tolerate it, or work for yourself in the current economic system. Personally I appreciate the improved standard of living I have thanks to the efficiency of our profit driven system.
Accounting mechanization is a good example of how unpredictable it can be. Initially there were armies of "accountants" (what we now call bookkeepers), mostly doing basic tasks of collecting data and making it fit something useful.

When mechanization appeared, the profession split into bookkeeping and accounting. Bookkeeping became a job for women as it was more boring and could be paid lower salaries (we're in the 1800s here). Accountants became more sophisticated but lower numbers as a %. Together, both professions grew like crazy in total number though.

So if the same happens you could predict a split between software engineers and prompt engineers. With an explosion in prompt engineers paid much less than software engineers.

> the number of accountants/book-
keepers in the U.S. increased from circa 54,000 workers [U.S.
Census Office, 1872, p. 706] to more than 900,000 [U.S. Bureau
of the Census, 1933, Tables 3, 49].

> These studies [e.g., Coyle, 1929;
Baker, 1964; Rotella, 1981; Davies, 1982; Lowe, 1987; DeVault,
1990; Fine, 1990; Strom, 1992; Kwolek-Folland, 1994; Wootton
and Kemmerer, 1996] have traced the transformation of the of-
fice workforce (typists, secretaries, stenographers, bookkeepers)
from predominately a male occupation to one primarily staffed
by women, who were paid substantially lower wages than the
men they replaced.

> Emergence of mechanical accounting in the U.S., 1880-1930 [PDF download] https://www.google.com/url?sa=t&source=web&rct=j&opi=8997844...
FWIW, I feel this quote is often misinterpreted -- too many people take it to mean "If my audience thinks I'm building the wrong thing that's ok -- I must hold my conviction and they'll thank me later". The reality is that any new product is a balance between building something familiar, fulfilling explicit customer desires, and improving in ways they didn't even expect. All of these are important. Maybe we can balance out the Henry Ford quote with this one from Peter Theil:

"No one can predict the future exactly, but we know two things: it's going to be different, and it must be rooted in today's world."
Sulphonyl Ureas are known as secretagoges (They make the pancreas release more insulin) This has many metabolic drawbacks I won't go into.

They reason they are prescribed everytime for DM II by insurance plans is that they are the cheapest drug for diabetes in the world.

They are associated with either no improved mortality or worse mortality.

They naturally don't work in DM I
Not having clicked the link yet, I'm going to speculate that this is the famous Office Space "I have people skills, damnit!" scene.

...

And it was. :-) Nice callback!