skysight-inc/HackerNews huggingface dataset:
Couldn’t agree more. For specific applications like drug development where you have a constrained problem with fixed set of variables and a well defined cost function I’m sure the chess analogy will hold. But I think there a core elements of cognition missing from chatGPT that aren’t easily built.
Nietzsche intended to say the radical opposite, from Ecce Homo:

"My formula for greatness in a human being is amor fati: that one wants nothing to be different, not forward, not backward, not in all eternity. Not merely bear what is necessary, still less conceal it—all idealism is mendacity in the face of what is necessary—but love it"

For him there were no transcendent values, ideologies, gods, what have you. People weren't individualist enough. To him it wasn't about latching onto some cause but to, in his words, become who you are. Affirm your own will and say yes to the world even if you, like in one of his thought experiments, lived in the worst world imaginable, on repeat, forever.
100%. The one thing you get at a bigco is bigness -- you can release a product to potentially millions of customers on day 1. When you call on a possible customer or partner, they return your call immediately because BigCo is on the line.

On the other hand, I can't stand how corporate politics corrupt a product's vision. Even low-level politics like "strategy taxes" are infuriating.
Anonymity on Locutus: https://github.com/freenet/freenet-core/discussions/813
I'm not following. How do you propose search is performed by the ASI designed for "AI Research"? (as proposed by the article)
What about Costco law school?
It's been shared by some number of people, perhaps not by these few who are actually in a position to influence the effort. But I think this sort of counts:

> "Why are we doing this?" Musk said at the company's February 2022 Starship progress update. "I think this is an incredibly important thing for the future of life itself ... there's always some chance that something could go wrong on Earth. Dinosaurs are not around anymore!"
[https://www.inverse.com/innovation/spacex-mars-city-codex]
Maybe it's Friday and my brain is cooked, but my camera keeps facing left in both cases.
I would love for a universal address like...

(Earth) GPS (Elevation, meters, postfixed) (Unit # or Label)
E.G.

N47°26'39.4" W122°18'03.8" Departures Road Bay 20

A (random) place at the major airport nearest to me (as a not DOX example). Also note now the North / West have been moved to prefix the GPS scalar elements, as the biggest shift in direction.

Contrast:

SEA Seattle International Airport
Departures Road Bay 20
SeaTac WA 98158

For street signs I'd expect MAJOR intersections to get big labels that include the full address, with the most geographically major components (the ones that barely ever change in a city) the smallest.

small: N47°
large: 26'39.4"
small: W122°
large: 18'03.8"

N47°26'39.4" W122°18'03.8" Departures Road Bay 20

N47°26'30.0" W122°17'57.5" Departures Road Bay 2

Google's Map also has 'plus codes' CPR2+J7 SeaTac, Washington https://maps.google.com/pluscodes/ and https://github.com/google/open-location-code Which seems like a compelling variation for encoding the GPS value.

The algorithm is described here: https://github.com/google/open-location-code/blob/main/Docum... Key notes: Normalize the GPS coords to +/- values (+/-90 and 180), then add 90 or 180 respectively to create an unsigned index along the range. The 10 largest steps are pairs of 0-19 encoding interleaved, while after that it's single step with the remaining fractional parts of Latitude * 2.5e7 (extract mod 5, *4), Long * 8.192e6 (extract mod 4) for each character after the 10th. The specification page does a FAR better job explaining things, but if link rot happens hopefully the summary here is sufficient.
I wondered the same, but I'm assuming it's just a faster way for the vendor to ship an updated .ko to a known kernel. That is, for existing phone myphone3a-variant7 there is an existing kernel 5.10.123-myphone3a-variant7 and the vendor wants to fix a bug in it; they can either ship a whole OS update containing 5.10.124-myphone3a-variant7 or they can build 5.10.124-myphone3a-variant7, pull out the one .ko that actually changed, stick that in an APEX update, and ship that, thereby getting the update out much faster and with less (no?) action on the part of users.

At least, that's what I'm guessing; I can't tell for sure either:P
It’s exactly what you would expect from what an LLM is. It predicts the next word in a sequence very well. Is that how our brains, or even a bird’s brain, for that matter, approach cognition? I don’t think that’s how any animals brain works at all, but that’s just my opinion. A lot of this discussion is speculation. We might as well all wait and see if AGI shows up. I’m not holding my breath.
It goes both ways. In that case, the developer had the cash to front the loan.
Reverse Engineering a Restaurant Pager System
The Digilent Zmod SDR Is a Comprehensive Tool for RF and SDR Applications
Radically overhyped. Like blockhcain with fewer ethical uses. No path from LLMs to AGI.
I would end up eating nothing but Costco hot dogs. When are they doing this in the south SFBA? Sign me up.
Converting In-Context Learning to Weights in Linearized-Attention Transformers
Not at all my experience, 673 movies and counting. I encode at around 10 to 13x with my 12900K using svt-av1.

My command:

ffmpeg.exe -i file.mp4 -r 23.976 -vf scale=1280:720 -c:v libsvtav1 -pix_fmt yuv420p10le -crf 30 -preset 10 -g 600 -c:a libopus -b:a 96k -ac 2 -c:s copy -map 0 out.mp4

Try it.
Wonderful news! No lets make sure this one doesn't happen behind closed doors.

Using that sweet monopoly money to avoid the sunshine of the public eye was not a good look.
You asked questions, I tried to answer. If you don't like answers, I suggest that you not ask questions.
Programming with Math – The Lambda Calculus [video]
If we're building straw men I'll contribute

Step 1. Open Colab. Step 2. Start building your model.
this is going to be costly for me as i will now need 2 pc's one running linux for personal use, programming, w/e, and one running windoze just for games
I like what I know of Costco, as a service, and as a company. But that architectural rendering, of the cool housing straddling the no-frills Costco big box, reminded me of Idiocracy's "Welcome to Costco; I love you".

https://www.youtube.com/watch?v=sdNmOOq6T8Y
For what? Do you see LLMs replacing HTTP? Search Engines? Why would I want to?
You can tap on the time wheels and a numeric keypad will pop up. Not the most discoverable UI, but very welcome.
Recent, similar talk: https://news.ycombinator.com/item?id=40469711
The actual interview text, seems to be here : https://stratechery.com/2024/an-interview-with-amd-ceo-lisa-...
How? Aside from their tacky generated images, the only real gen AI thing they're doing is providing a quick interface to ChatGPT.
That’s a good point. Imagine if an LLM could only read, speak, and hear at the same speed as a human. How long would training a model take?

We can make them read digital media really quickly, but we can’t really accelerate its interactions with the physical world.
StackPath Immediate End of Life
And they are starting their own ad network.

https://todaysecommerce.com/2024/06/costco-is-working-on-ad-...
I do powerlifting 3x week. No real aerobics, I should add that but I just hate it. Sometimes I’ll drop the weight and do high rep sets which does get my heart pumping.
sounds good!, i do very much appreciate all that you have written so far. its just that texturing is the one thing i really do find difficult and its frustrating its not there :) -- thanks again for all your hard work.
They actually do a decent impression of one using generators: https://effect.website/docs/guides/style/do#using-effectgen

import { Effect } from "effect"

// Get the current timestamp
const now = Effect.sync(() => new Date().getTime())

// Prints the elapsed time occurred to `self` to execute
const elapsed = <R, E, A>(
self: Effect.Effect<A, E, R>
): Effect.Effect<A, E, R> =>
Effect.gen(function\* () {
const startMillis = yield\* now
const result = yield\* self
const endMillis = yield\* now
// Calculate the elapsed time in milliseconds
const elapsed = endMillis - startMillis
// Log the elapsed time
console.log(`Elapsed: ${elapsed}`)
return result
})
It's odd how little attention we've paid to the long-term effects of viruses in general. The cumulative effects of the illnesses they cause could easily be carving off multiple years of healthy lifespan for millions of people but until COVID, nobody really cared as long as the majority were able to return to productivity relatively quickly in the short term.
Syzygy: An open standard for low cost, compact and high-performance peripherals
The beauty of competent management from the very top down. They understand that paying people a living wage has become a massive competitive advantage these days.
The biggest issue the author does not seem aware of is how much compute is required for this. This article is the equivalent of saying that a monkey given time will write Shakespeare. Of course it's correct, but the search space is intractable. And you would never find your answer in that mess even if it did solve it.

I've been building branching and evolving type llm systems for well over a year now full time.

I have built multiple "search" or "exploring" algorithms. The issue is that after multiple steps, your original agent, who was tasked with researching or doing biology, is now talking about battleships (an actual example from my previous work).

Single step is the only real situation search functions work. Mutli step agents explode to infinite possibilities very very quickly.

Single step has its own issues, though. While a zero shot question run 1000 times (eg, solve this code problem), may help find a better solution it's a limited search space (which is a good thing)

I recently ran a test of 10k inferences of a single input prompt on multiple llm models varying the input configurations. What you find is that an individual prompt does not have infinite response possibilities. It's limited. This is why they can actually function as llms now.

Agents not working is an example of this problem. While a single step search space is massive, it's exponential every step the agent takes.

I'm building tools and systems around solving this problem, and to me, a massive search is as far off as saying all we need 100x AI model sizes to solve it.

Autonomy =/ (Intelligence or reasoning)
Ask HN: ChatGPT- Cross-chat memory causing context bubbles?
I rarely use HN, so I apologise if my etiquette is off, but I think I've found 'a thing' and I'm really not sure where I can have a smort conversation with smort people about it, and well, this seems like a good starting place.

The basic premise is this: After a few months of ChatGPT saving chats with its new Memory feature, I feel like it's starting to put me into context bubbles that I can't break out of.

Example 1 - In one chat I asked it for some low carb recipes, using a particular ingredient, now in all chats where I ask for a recipe, the default suggestion is low carb using that ingredient.

Example 2 - I spent some time asking it to generate images in Style X, and now I want to generate in Style Y, but it keeps giving me results in Style X, with artefacts of my Style X requests. (which I suppose may relate more to whatever underlying context is stored through the Dall-E API calls than anything)

On the surface, this seems really handy, because it's learning my preferences, but I feel like it's starting to limit what the system is capable of generating for me, particularly when I give it new scenarios that I don't want to be influenced by previous conversations.

And it's doing it at the speed of AI.

Now, I know I can turn off Memory, or delete particular things/chats from memory, but I don't want the feature gone altogether, I just want to be able to say "for this chat, ignore all context from previous chats", but that instruction doesn't seem to work.

Now, I might be missing something obvious, so I'm just wondering if people have found a way to effectively deal with this, or whether I'm just seeing some early signs that we're about to see a storm where ChatGPT is suddenly throwing everyone into very narrow context bubbles?
This concern seems misplaced. You would have the same result with a used laptop that contained unlawful materials for any other reason. You have no control over what the previous owner put on the machine.

Which is why you can have a look at 18 U.S.C. § 2252A and see a lot of instances of the word "knowingly". Now, could a malicious prosecutor convince a technically unsophisticated jury that you're guilty even though you didn't know it was there? Maybe, but that's also true in all of the other cases. It's the same thing if you're infected with some trojan and then a criminal enterprise is using your PC to distribute their unlawful materials. All it takes is for a lazy prosecutor to decide they'd rather get the notch in their belt by prosecuting a victim than have no case to trumpet because the actual perpetrators can't be identified or are in a Eurasian country that doesn't extradite.

The problem here is not "Freenet exists", the problem is that there aren't enough safeguards against delinquent prosecutors.

If anything the situation would be improved by making things like this more common, so that normal people use them themselves for distributing ordinary content and then realize how it works and put the blame on the actual perpetrators instead of the perpetrator's UPS driver.
Either the advertising misleads the driver or it does not. Whether the advertising might mislead some buyers, investors and unconnected members of the general public, is orthogonal to whether drivers are being misled, and thus whether accidents caused by their unattentiveness should be blamed on Tesla.

There is no credible case to be made that any Tesla driver is unaware of Tesla's stance, that the driver assist features cannot provide autonomous driving and that the driver must always remain engaged.

The warnings are absolutely clear and reiterated so they could not be missed. If you want to challenge that notion in court, be my guest.
By that metric iPhone 15 is a minor variation of iPhone 4. That doesn't seem to have hurt Apple.

Arguably the new S and X are built on the new 3 architecture from 2018 not the other way around.
Cropping the cause is misleading, this is all under cause:

> determines that the probable cause of this accident … Aircraft Engines. The subsequent catastrophic disintegration of the disk resulted in the liberation of debris in a pattern of distribution and with energy levels that exceeded the level of protection provided by design features of the hydraulic systems that operate the DC-10's flight controls.

Under recommendations:

> Encourage research and development of backup flight control systems ·for newly certificated wide-body airplanes that utilize an alternative source of motive power separate from that source used for the conventional control system. (Class II, Priority Action) (A-90-168)

> Conduct system safety reviews of currently certificated aircraft as a result of the lessons learned from the July 19, 1989, Sioux City, Iowa, DC-10 accident to give all possible consideration to the redundancy of, and protection for, power sources for flight and engine controls. (Class II, Priority Action) (A-90-169)

>Analyze the dispersion pattern, fragment size and energy level of released engine rotating parts from .the July 19, 1989, Sioux City , Iowa, DC-10 accident and include the results of this analysis, and any other peripheral data available, in a revision of AC 20-128 for future aircraft certification. (Class II, Priority Action) (A-90-170)

Etc. So calling this a design issue rather than an inspection issue is quite reasonable. Inspections are guaranteed to eventually fail, the aircraft being 100% dependent on them is a recipe for future disasters.
It is just like how they are tearing down one story grocery stores and building them as 4 or 5+1s with the store on ground floor and housing up top. This is much better land use anyways.
https://www.youtube.com/shorts/KaSmgzaKgYM

and

https://www.youtube.com/v/KaSmgzaKgYM

are the same, so at least you can use some redirection extensions to always show you the full interface.

Or use something like 'Simple Blocker' (FF) which would just block everything which includes `youtube.com/shorts/` in the URL.
Checklists are amazing. Humans are really clever, but we're too good at context, and will completely miss steps, especially if the outcome of the previous step is unexpected.
Ask HN: What caused the downfall of Sun Microsystem?
They seemed unstoppable in the 90s and the Internet era should have led them to greatness.

What happened? Why can’t they pivot to save themselves? Even Apple managed to survive from bankruptcy.
Why every new social media clone looks the same?

I don't know much about large scale projects, but wouldn't hosting videos become a huge cost in a project like this? Many social medias didn't have video support until they were huge. In fact, I think Plurk still doesn't support it, even though it has existed for 16 years.

But the other day I learned about this "TikTok" thing that is video-centric, and that there is a clone called Kwai, which is also video-centric, and that everyone seems to want a platform to share videos for some reason.
I don’t think this bears out in a place like seattle for everyone. I’ve been here since 2014 when home prices were much more affordable. I also made a substantial amount on my FAANG+ and adjacent work such I own my house and am debt free and have plenty of savings. I’m not alone. That’s a common story. And, after I wrap what I’m working on now, I’m starting my own thing. But I don’t plan to take VC, I’ve got my own capital now. Especially as FAANG loses its luster I think you’ll see people who did well and aren’t interested in retirement doing their own self financed things. A fair amount of my personal orbit have already done that. They’re actual real engineers that build stuff reliably that’s commercial. Their startups tend to do pretty well. But they’re not flashy valley kids - so maybe they don’t register for most people.

Yes it’s not a story for everyone. But an awful lot of the seattle scene has had a really good run and every one of the FAANG have a second largest if not largest presence here and Microsoft has been churning out wealthy alum for decades, and an awful lot are tired of the megacorp bullshit.
Incredibly hypocritical of them to run to the first amendment as a defense, when they were working to remove other people’s freedom of speech.
Whenever I work with large datasets I use a small subset of the overall data to do testing while I build the pipeline, this avoids long run times and allows for quick iteration while I get things set up to run against the full dataset
Fascinating. I only knew this song as one of the centrepieces of Baz Luhrmann's Moulin Rouge!, but this article doesn't even mention that.
I used to live in an apartment complex with trader Joe in the westwood area of LA near UCLA. Oddly enough, I would walk over to the whole food’s or Ralph’s instead to grocery shop (but everything was walkable, even the target across the street).
Dedalium – turn the entire web into an RPG game
I’m an AppSec engineer, and work with 300+ devs and Software Engineers. I’ve worked through start phase and two acquisitions. You spot on at this point in time. I’m on the team responsible for testing m365 copilot before it rolls out to our org. A month ago I would have agreed with you 100% but now i’m leaning more to theirs a 50% chance of large scale automation happening within 5 years.

What AI was missing is the larger business context. I doesn’t know the politics behind why things are the way they are and why fixing and issue might cost the company 50k every minute or if library is updated it would break 15 business critical products without proper coordination.

M365 Copilot is bridging that gap. Right now it’s dumb and only access what you can see on OneDrive and sharepoint. With plugins and connectors it’s going to integrate into every development platform sooner or later.

I still think it’s some years out and will require a lot of human interaction before these generalized agents can be onboarded.

It’s a security nightmare for me. We basically just automated the recon for any attacker that has compromised a 365 Account. In my opinion it’s moving to fast even when it’s dumb as bricks and has the context of a 2 year old.

I’ve been using it to compare static analysis findings and m365 copilot returns a lot of the same findings with mitigation suggestion. It’s still not 100% though, but either is any secuirty testing.

I give it two years before the grunt work is fully automated
Well people certainly are good at finding new ways to consume compute power. Whether it’s mining bitcoins or training a million AI models at once to generate a “meta model” that we think could achieve escape velocity. What happens when it doesn’t? And Sam Altman and the author want to get the government to pay for this? Am I reading this right?
I wonder what the return policy will be like.
Monitoring the legal environment in the US is in general super easy.
What tests? I just told you there are no tests which can actually tell you what you need to know. Even destructive tests.

Even if there was a destructive test that actually predicted lifetime performance, the total sample sizes are probably too small for statistics to be valid unless you destroy something like 10% or more. If you only have say 100 of something, a random samling of 1% is too few. 2 or 3 is no better. Maybe 10, IF all 10 gave perfectly consistent results. But there is no such test anyway.
I'm aware of all that... I'm not sure what that has to do with what I'm saying?
I think part of the reason for that is that COVID was new, and an unknown. Also, severe COVID in the early part of the pandemic seemed much more serious than a cold, though it is less so now.
They got acquired by Oracle for $7.4B
I played it on a hp97/hp67.

Memory hazy, but I think I used the inbuilt calculus features of the calculator to get a perfect landing with a burn of 45 (about half the fuel) on say turn 12.

I had no prior expectation of what the optimum burn was and certainly had not heard of a 'suicide burn'.
Before my younger daughter headed off to college, I put her through a mini library studies class. It was designed to teach her how to identify authors with different positions on a topic, write summaries, and write brief analyses. It was very loosely based on a required prep school class I took in the early 1980s. She absolutely hated it. Not sure how much good it did her given her lack of interest in the lessons.

To this day I am grateful I had to take the library studies class. And while I was not the biggest fan of Mr. Hickock, he helped prepare me to learn better. We spent a ton o' time using encyclopedias and the card catalogue.

I am a huge fan of printed books. There's nothing quite like them and they almost magical way they work.
How are they measuring dolphin success? Children? Income? Education?
Oh. :P
Love this. I don't remember hearing the song before, so it was a double treat!
As a former (well, still card holding) union laborer I have to express my displeasure at Costco circumventing the prevailing wage requirements by building modular sections offsite and trucking them in. Other than that, I like the mixed use approach to this building.
It is for every reader on this site, coming as naturally as buying a computer.
> their unique advantages

What are those? I never really found any sort of "unique advantage" of Costco. Certainly nothing to drive the extra distance past Sam's. While I had a membership, it was largely more expensive or didn't have what I wanted.
Correct, unless you are pointing Unbound at those providers using DoT. If Unbound is just using the root servers you would talk to the authoritative name-servers.
Also https://chipmonk.substack.com/p/spaced-repetition-for-teachi...