skysight-inc/HackerNews huggingface dataset:
"Relief that Apple is finally bringing generative AI to its devices added more than $260bn to its stock market value this week. Over the next few years, Apple AI could fuel a massive hardware upgrade cycle. It will only work on a very small number of existing devices, so most customers will have to buy a new and more powerful iPhone, iPad or Mac to see Apple Intelligence."

Any tactic the so-called "tech" company can use to get people to buy new computers. When the old ones are still working fine.

https://cc.bingj.com/cache.aspx?d=732027381763&w=c_PUW-0p05q...
> It's my understanding that despite the high cost to run Meetups, the company itself has never been in a good financial position. They've been bought and sold multiple times.

Former Meetup employee here. A company being bought and sold multiple times is not a sign of being in a poor financial position.

2017: Meetup was first bought by WeWork for $156M.

2020: Meetup was then sold for a fire sale price to AlleyCorp as WeWork was trying to avoid bankruptcy from their unsustainable office rent deals. Watch any of the streaming shows like WeCrashed if you want to know what happened to WeWork.

2024: Meetup was then sold for a very nice multiple of their 2020 price to Bending Spoons after being profitable for several years. However, it had been profitable over those years by keeping it all together with only a small team. Bending Spoons moved operations to Italy, where most developers are cheaper.
> Texas averages ... 2 inches of snow each year.

Really? That does not comport with my experience growing up there.
I'm on the fence with this because it's plausible that some critical component of achieving superintelligence might be discovered more quickly by teams that, say, have sophisticated mechanistic interpretability incorporated into their systems.
the military uses it to describe all things relating to the internet, the rest of us used to use it to mean cybersex, which why you mostly only ever hear it from military folks and c-suite type people now and the rest of us kinda chuckle under our breath every time they mention it.
If you've worked with React and especially built e-commerce stores with it you'd realize what they are aiming for mimics a lot of the work that went into Relay but for the larger community. This is a continuation of that and not driven by trying to pump Vercel bills.

Kind of discredits all your opinions on that topic
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It is called "tipping the market" and it is a well-known strategy in the business of platforms. [1]

Google did the same thing when they released android for free.

[1] https://www.harperacademic.com/book/9780062896322/the-busine...
Counter point, I have worked with a company we’ll call “C” and they have been able to build a pipeline of folks who have been incredibly effective (>50).

That being said the program is a bit more than ~3 months and the students go all in, they’re not doing it part time.

The students come from different backgrounds, some have not graduated highschool, and they come hungry for better opportunities. We’ve tried this with a few companies and that was the only one that has been successful.

That being said, I think it has been difficult for them to scale profitably as it is just a lot of work to find the candidates and provide effective instruction.
> Someone finally came up with a time system more difficult for people to use than Star Trek's stardates.

Woz had that figured out ages ago.

https://www.timesticking.com/steve-wozniaks-nixie-watch/
It's true that doctors should listen to patients, and that diagnosing medical problems, especially psychological problems, can be very difficult.

However, your post has a very "we don't need x-rays, we can just tell the bone is broken" vibe. It reads like you think better and more objective, quantitative diagnosis is not worth pursuing.
smug, me? I am a SWE with a MBA and I never get thermal throttled. What am I doing wrong?
There should be a social norm where if you're going to call out a bias, you should name the bias (at a minimum) and share the bias you see that bias from so readers can calibrate their interpretation. Without it, we're in a situation like this where someone has to ask and others try to work it out and a lot of time is spent trying to understand the claim rather than have a discussion.
Zachary's a good writer. HN denizens might know him for "Showstopper!", about Dave Cutler's project at Microsoft to remake VMS as WNT.
https://easyos.org/dev/images/dir2sfs-2.png

What's "easy" here, exactly?
Zep AI (YC W24) is hiring back end engineers to build LLM long-term memory
Not attributing all of it
HF is not very big, Stanford doesn’t have lots of compute.

Neither of these are even remotely big labs like what I’m discussing
New Technology technology
There are TPC-H numbers in another post: https://cedardb.com/blog/simple_efficient_hash_tables/
Love the project, writing style and what is was made of (fpga, round lcd, Jupiter moons sim... so cool). But now I'm frustrated I can't see the display animation.
Some objects won't cast a shadow until they're visible (noticeable eg on the left wall when approaching the 1st class gym towards the beginning).

Over-optimized culling?
Choose any limit. For example, lack of agency. Then leave humans alone for a year or two and watch us spontaneously try to replicate agency.

We are trying to build AGI. Every time we fall short, we try again. We will keep doing this until we succeed.

For the love of all that is science stop thinking of the level of tech in front of your nose and look at the direction, and the motivation to always progress. It’s what we do.

Years ago, Sam said “slope is more important than Y-intercept”. Forget about the y-intercept, focus on the fact that the slope never goes negative.
Fly.io: AWS Without Access Keys
Yup, most definitely.
>> Objectively, no it doesn't. Even if you think it's a bubble, then the bubble is just growing. There are zero signs of anything popping yet.

> Ever seen a bubble pop? It doesn't contract and then pop, usually. A hole develops, and almost immediately no more bubble. If you watch very closely, you might see signs of the end a fraction of a second before it vanishes.

Well, if that’s the case then why is the OP arguing that the bubble is popping based on feelings and vibes instead of objective data caused by the rapid popping of the bubble that you postulate?

Literally you’re saying the bubble is going to pop so fast that it’s noticeable to everyone and objectively undeniable in fact, the numbers are going to show it, and that’s why… grandparent’s vibes are evidence that it’s happening, quickly and indisputably, despite the failure of the numbers to show it?

Incoherent take.
Turned out to be adequate for experimentation.

I think it's interesting they had a CLU binding before C. https://en.m.wikipedia.org/wiki/CLU_(programming_language)
Research: The Most Common DEI Practices Undermine Diversity
We need the Oscars "In Memoriam" every year, but it's for words we lost to semantic satiation.

Off the top of my head:

iconic

epic

brilliant

"blazingly fast"

literally
> By contrast Lambda only costs money while your code runs.

There is no fee for uploading it, only a fee for executing? In that case could I upload a function that only disgorges a static payload? Then I could store a multi-GB file for free and just invoke it in order to download the data.
I think in language learning it’s important not to over-review content for this very reason.
Job vacancies surge over 60% in London - companies scramble to invest in fintech
For years, I had seen X11 desktops in magazines before Linux and the Intel 80486DX-33 permitted me to first boot X11 on my own machine in 1992 (after installing it from fifty 3.5" floppy disks, which required two trips to the nearest university, as the first time one of the disks was faulty).

Still remember that feeling of first typing xeyes & and xlock & and inspecting the result on that 14" color CRT screen (I was beaming more than it, perhaps).

Then by winter term 1996 I owned a refurbished HP9000-715/75 running HP-UX 9.03 (also X11-based), pre-owned and via uni discount and still the price of a car at the time... the only undergrad on my corridor who had a workstation in the dorm room (its 21" CRT filling most of the 9 m² space that was not occupied by the bed). My next goal then was to get all the manual books (X11 and HP-UX) - still got 'em.

HAPPY 40th BIRTHDAY, X11! And thanks to the X11 authors for making it available for free - imagine, X11 supported mice with 16 buttons already back then!
Brian Newbold has some posts contrasting the design decisions of AP vs Bsky, in reply to this EFF article,

> a design tradeoff between atproto appviews and mastodon instances is that atproto appviews are generally "big world" and index the entire network, so the cost to run the indexing component scales with the size of network. (there is also read-volume scaling, separately)

> in activitypub, the scaling needs of an instance roughly go with the number of users, and the volume of interactions they have with entire network (read and write). so instances can start small (fewer resources)

> the point I was getting at is that actually you can have an atproto appview which doesn't index the entire network, just PDS instance of interest.

> this has some "cheap and totally independent" benefits, but trades off against not being able to see and interact with entire network

> aka, "full" appviews are more resource-intensive to get started, but have huge value.

> (also, the protocol is designed to make it way way cheaper than web crawling or other trad indexing, both in terms of compute resources and in terms of admin/ops labor)

https://bsky.app/profile/bnewbold.net/post/3kva4vxi45s2q

Bsky's as a distributed distribution mechanism has yet to be tested in any major way, but the premise of bulk transmission seems more built-in where-as AP was crafted more as a person-to-person relationship.

I'm less familiar with Mastadon's own protocols. It does seem like trying to keep Mastadon's sidekiq egress queues from flooding is a damned hard job for a lot of growing instances, at least it was ~2 years ago when I was active there.
They don't think superintelligence will "always" be destructive to humanity. They believe that we need to ensure that a superintelligence will "never" be destructive to humanity.
Needs a video demo, showing how to run it and the main features.
> I know nothing about physics. If I came across some magic algorithm that occasionally poops out a plane that works 90 percent of the time, would you book a flight in it?

With this metaphor you seem to be saying we should, if possible, learn how to control AI? Preferably before anyone endangers their lives due to it? :)

> I think it's inevitable that at some point that smart thing will behave in ways humans don't expect.

Naturally.

The goal, at least for those most worried about this, is to make that surprise be not a… oh, I've just realised a good quote:

"""
the kind of problem "most civilizations would encounter just once, and which they tended to encounter rather in the same way a sentence encountered a full stop."
""" - https://en.wikipedia.org/wiki/Excession#Outside_Context_Prob...

Not that.
There is nothing free on the Internet anymore :)
Juneteenth: No Freedom in Sight
TriOptimum Corporation was already taken.
like into a portable monitor?
It would be nice if authors wouldn't use a loaded-as-fuck word like "transcendence" for "the trained model can sometimes achieve better performance than all [chess] players in the dataset" because while certainly that's demonstrating an impressive internalization of the game, it's also something that many humans can also do. The machine, of course, can be scaled in breadth and performance, but... "transcendence"? Are they trying to be mis-interpreted?
A tube system is cheaper than I thought, about $300-500K for a big hospital system:

https://www.aerocom.co.uk/blog/how-much-does-a-pneumatic-tub...

I don’t know if this takes into consideration facilities remodeling.
Hey, I mentioned you in my comment elsewhere on this post. Checked your recent comments and found you here.

You were right in 2019, despite being downvoted. Good call. Congrats

https://news.ycombinator.com/item?id=19774532
was one of them Mark Zuckerberg?

https://en.wikipedia.org/wiki/Elon_Musk_vs._Mark_Zuckerberg
I don't think speculative decoding proves that they consume less/more energy per question.

Regardless if the question/prompt is simple or not (for any definition of simple), if the target output is T tokens, the larger model needs to generate at least T tokens, if the small and large models disagree then the large model will be called to generate more than T tokens. The observed speedup is because you can infer K+1 tokens in parallel based on the drafts of the smaller model instead of having to do it sequentially. But I would argue that the "important" computation is still done (also the smaller model will be called the same number of times regardless of the difficulty of the question, bringing us back to the same problem that LLMs won't vary their energy consumption dynamically as a function of question complexity).

Also, the rate of disagreement does not necessarily change when the question is more complex, it could be that the 2 models have learned different things and could disagree on a "simple" question.
Exactly. Though security is an onion, so it is at least making it harder.

In the traditional Linux desktop model a vulnerability may allow to run something as the user. It can change your bashrc, your application menu as well as your launchers, your browser extensions and settings. You may already have a user writable directory in your PATH so it can replace things even on a lower level.
"She’s also eligible for bonuses of up to $7,500 monthly for reaching certain goals—for an annual take of $175,000 in the best of circumstances."

Let me tell you how often those "best of circumstances" happen in the restaurant business. I worked for a franchised burger joint in my youth and they were telling the managers the same thing back then. And, mysteriously, they always fell short of the necessary goals.
So learn it. It is one of life’s greatest secrets.

What the original commenter said is correct, meditation helps you see how thoughts arise in the moment, and with practice you can get to a point where there is very little noise and instead you have a broader view of ideas and your life in general.

It is also calming, for your entire system. Learning to monitor and control your breathing consciously is a serious mental workout. If you have never sat down to practice it, you might surprise yourself as to how much is going on in your own mind and how the wheels and cogs just keep turning.
Unrelated to F# (Microsoft's functional .net language) as far as I can tell.
what excites you about risc-v?
The seemingly critical parallel job performance issue sounds like it can and should be handled transparently by the OS when multiple pages are involved, and should thus be an area of research if it isn't already.

Frankly, the idea that it isn't already a solved problem makes me wonder if that could possibly be the case...

The writes thing... Outside of very rare circumstances, I would think that properly batching inserts/updates within transactions at the app level would resolve half of that, and multi-user concurrency would buy back the rest.

What am I missing?

P.S. I'm mad at the author for enlightening me to the real-world performance impact of enterprise SSD. i'm about to buy, and that might just cost me...
If that's your standard of "control", then we can definitely "control" human intelligence.
Fair enough!

c) Humanity unleashed AI superintelligence, but safeguards proved inadequate, leading to our extinction
> Lambda is also distributed, though — while CGI scripts just live on the webserver itself.

Most of the stuff people use lambdas for they could run from the cheapest Digital Ocean droplet or cheapest Hetzner server.

You need "omg distributed" perhaps after your millionth user, and even then it's highly debatable.
2024 is finally the year of the X desktop
There are at least three competing definitions of the word:

There's the existential threat definition of "safe", put forth by Bostrom, Yudkowsky, and others. That's the idea that a superintelligent AI, or even one just incrementally smarter and faster than the humans working on AI, could enter a positive feedback loop in which it becomes overwhelmingly smarter and faster than humans, people can't control it, and it does unpredictable things.

There's the investor relations definition of "safe", which seems to be the one typically adopted by mission statements of OpenAI, Google, Meta, and others. That's (cynically) the fear that a chatbot with their branding on it promulgates culturally/ethically/morally unacceptable things it found in some dark corner the Internet, causing end users to do or think something reprehensible (and, not incidentally, causing really bad press in the process).

There's the societal harm definition of "safe", which is at first glance similar in to the investor relations safety definition, but which focuses on the specific judgements made by those filtering teams and the knock-on effects of access to these tools, like economic disruption to the job market.

Everyone seems to be talking past each other, dismissing or ignoring the concerns of other groups.
The worst part about now in hindsight is how they probably could've moved to a work-list system like Vulkan or io_uring and kept it all in separate processes to retain that stability.

Yes, memory wasn't as plentiful back then and with single-core machines there still would've been more unavoidable context switches but with queues the context switches could've still been reduced in total as opposed to crossing the kernel boundary at all.
You certainly can make money from a user-friendly group platform.

It's just not enough money to sustain a VC-backed model or a large sales/support staff.

If OP is careful about managing expenses and doesn't set outlandish expectations for profit (or raise VC), a profitable niche is doable.
I would definitely discount OpenAI equity compared to even other private AI labs (i.e. Anthropic) given the shenanigans, but they have in fact held 3 tender offers and former employees were not, as far as we know, excluded (though they may have been limited to selling $2m worth of equity, rather than $10m).
It worked for DHH. The substance is significantly better than I expected from the opener.
Wow, I had completely forgotten about this.

I spent years of my life writing text like this, and the first large programming project I ever worked on was building my own PHP forum software for fun. It never went anywhere, of course, but I learned a ton.
Fun fact: nextjs was inspired by PHP and can generate static pages that you can throw into a web server.

Another technology that kind of covers the use cases of the article (the mildly dynamic pages) would be htmx and friends.
All you need is Internet access, deepfake video synthesis, and some cryptocurrency (which can in turn be used to buy credit cards and full identities off the dark web), and you have everything you need to lie, manipulate, and bribe an endless parade of desperate humans and profit-driven corporations into doing literally anything you'd do with a body.

(Including, gradually, building you a body — while maintaining OPSEC and compartmentalization so nobody even realizes the body is "for" an AI to use until it's too late.)
Thanks for the explanation :-)
> but to be fair, CGI doesn’t give you an infinite scalability.

That your startup with three users will never need.

Your startup with a million users will not need it either
The HN comment originally made by 'austenallred in https://www.sandofsky.com/content/images/2024/05/image-13.pn... is still available at https://news.ycombinator.com/item?id=13502774 but is now by user '_pecl.
The ownership of the comment changed between July 3, 2019 and January 31, 2020 according to https://web.archive.org/web/*/https://news.ycombinator.com/i....
I guess the author realized it reflected badly on him and contacted HN to anonymize the comment.

Edit: This is not to suggest 'austenallred received special treatment.
> This need to measure everything is almost pathological.

What's pathological is the tendency to see everything in black or white, right or wrong. There are many different causes for fatigue and tiredness: the flu, atypical depression, chronic fatigue, etc. But those conditions can overlap with depression. Putting the symptoms through a sieve by eliminating some causes helps pinpoint the origin (I over-simplify of course).

edit: this complaint about measuring things is a bit surprising considering what needed to be measured so this article https://christianbonanno.substack.com/p/what-caused-my-menta... (edit: interesting reading btw) could be written ?
I’ll be really surprised if Wayland is still popular when X is really ready to be tossed out. But surely by 2065 somebody will have come up with an entirely new successor.
It updates in pretty close to realtime (ie the simulator timestep is extremely close to the actual wall clock time required to compute the next timestep), so “animation” isn’t really the right word. If you let it go for a few hours it leaves fun star trails though!
You look up a word in the dictionary and tap the heart next to its definition (as the tooltip suggests) to save it. The Hearts page (https://flowery.app/hearts) is your personal vocabulary list, and the Cards page (https://flowery.app/cards) generates cloze deletion flashcards for your hearts, which is where the LLM steps in.
It isn't, though. It's the jerk.

The difference between falling from a height and landing on a trampoline, and landing on concrete from the same height, is that the trampoline smoothly accelerates you to a halt once you collide with it. The concrete does so much more rapidly: that's jerk. Both of these are collisions with the same amount of force behind them.
Finally an elevator that will force other occupants to respect my personal space.

We’re all up against the wall during this ascent!
Plaid Layer
People don’t warm servers before entering production anymore?
IIRC, Symbolics' "Dynamic Windows" window system (later CLIM) was originally called Y windows.
True. It’s also interesting to note that a lot of Newton and Leibniz’s original reasoning about infinitesimals itself went through the same sort of three step process: first it was accepted because it was all there was, then rigour became fashionable and it was thrown out. Finally, only last century, it was shown that such ideas can be made perfectly rigorous in the right setting [see: nonstandard analysis].
> It's "campism".

Thank you very much for teaching me this term. It is much more appropriate than my clumsy use of the term "tankie."

https://en.wikipedia.org/wiki/Campism
I think the plan is for ZNS to never be available at retail and I imagine key-value will be the same.