skysight-inc/HackerNews huggingface dataset:
The insult was my inference that we should assume good faith, and that you had not done so (provably, by your 'lulz' snark); which you clearly did not show when assuming something other than the "liver" would be a organ of filtering toxins.

A decently display of faith should at least warrant a re-parsing of my (actually perfectly unambiguous) grammatical clarity, of which you implied was less than so.

Warrants the question, why not admit my posit:

That slightly-varied entities competing for the same/similar finite/limited supply pool of resources/demands will tend towards -- as an emergent behavior of both short-term disorderly self-incentivization and the stochastic long-term higher-order unconscious collective collusion -- the tendency to compete until dominance over **reproductive** rights are secured, but no more. The more fiercer the competition, the more selective the sieve, the more the dominant traits propagate: up to a plateaued point. Further complexity/order can than be more efficiently achieved by lessening the furiousity of the competition to a point of cooperation, which then innately lends itself to more hierarchy, efficient use of energy.

People aren't intimated by people that cannot replace them, they are by people that can.

Take it from Roko the Replacer:

According to Sigmund Freud's psychoanalytic theory, the "fear of being replaced" is most closely linked to the concept of "castration anxiety," particularly within the context of the Oedipus complex, where a young boy fears his father will punish him for desiring his mother by castrating him, essentially rendering him "replaced" in her affections.

But somewhere between a middle school drop out and a super-intelligence and 5-layers QED, I think my posit has merit.

Free to continue discussion; but the under the Ego lies the Id, and I'm not well versed in that science yet, still approximating.
Excellent article and absolutely fair points by the author. As a kid I completely fell in love with the characters and ambiance, but got hopelessly stuck in Act 1. In fact, I don't think I ever made it out.

But man, what a great story and what a beautiful style. I always half expected to see Hollywood pick this up and turn it into a movie. Just imagine what the folks at Pixar could do with this (with Tim Schafer as executive producer, of course).
Meanwhile, two days ago Altman said that the pathway to AGI is now clear and "we actually know what to do", that it will be easier than initially thought and "things are going to go a lot faster than people are appreciating right now."

To which Noam Brown added: "I've heard people claim that Sam is just drumming up hype, but from what I've seen everything he's saying matches the ~median view of OpenAI researchers on the ground."

https://x.com/polynoamial/status/1855037689533178289
Truly ridiculous to think that a terrorism group is filled with incapable individuals so as to not be able to map out a well traveled and popular location.

Stop pretending terrorists are stupid, quite often they're smarter than you, and seeing this as an excuse tells me that bar is not difficult to pass.
Run, you pigeons, it’s Robert Frost!
NextDNS has a "Cache Boost" option that, when enabled, clamps answers to a minimum TTL to mitigate things like this. I've noticed that some Samsung IoT domains also have aggressively low TTL.
I’m starting to appreciate spelling mistakes because it’s a sign that a human wrote it, oddly enough.
Senior eng these days is just someone who can deliver independently on a project of limited scope (within a single team purview)
Which puts it already in the second tier of most used languages with big guys like Java, C#. I think Rust will soon join the ranks of JavaScript, Python and C.
The article said what is being done is criminal. Not only is the plant spewing dioxin and heavy metals. But the still dangerous ash is dumped near existing homes and schools.
I’m still waiting for a large, OSS one with 100% legal, pre-training data. We don’t even have a 1B model that I’m sure meets that standard. There’s a fair-trained model for lawyers claiming it.

I think someone running a bunch of epochs of a 30B or 70B on Project Gutenberg would be a nice start. We could do continued pre-training from there.

So, if counting legal and at least trainable (open weights), the performance can only go up from here.
This just isn't correct. Along the entire career path from (just out of school) junior engineer to (industry famous) distinguished engineer, the biggest gap in job responsibilities is between the Sr. Eng and Staff/Principal Eng levels. Staff eng is not "more of the same".
I expect seniors to deliver on smaller to medium projects without external help. If someone can’t do that they’re not senior and i don’t care if they have 2 or 20 yoe
I don't think it can be covered in a general way, everyone's traumas are unique. Sometimes it involves going into the memory, reexperiencing parts of it (which can be a very visceral experience under the effects) from an objective place, really feeling them and letting go, forgiving, etc. It's usually more complicated than that- there are a lot of "hooks" that are created (relationships, places, the emotions felt going in/after an event). The most common traumas (sexual) create some downright awful patterns especially if it happened as a child (e.g. a parent who is supposed to be protecting you and providing safety...but is also doing bad things to you. There's a lot to undo there). It's usually not something taken care of in a single ceremony or even a weekend of ceremonies especially without a skilled practitioner.

Is there a difference between this and doing it another way? Hard to say. If the process resonates with you I think it can be done a lot faster and more completely this way. Some people can make little to no progress in therapy for years, dancing around the issue and constantly hitting defense mechanisms (often the memories of these things are blocked out and very hard to access under normal circumstances). A strong ayahuasca experience will put it front and center so you have no other choice than to deal with it. It's not easy, not some magic pill, and takes courage and willingness to go into it head on and do the work. It's absolutely not for everyone. I really love this modality so probably a bit biased- like asking a heart surgeon to heal your broken leg might get you a couple stents installed ;) it's very versatile but not always the best option.
One time I got onto the Q platform from Centre Street by habit before realizing I was supposed to take the 6.

Felt like I somehow broke space and time getting there, and this Escher staircase in Canal Street station confirms it: https://images.squarespace-cdn.com/content/v1/55ababf2e4b064...
The Particle Data Group
I think the answer is they jumped all in and they are fully incorporating it into their workflow. If you’re not, like I am, you have a different experience and that is obvious of course. But objectively you probably are right about mild improvements as I feel the same. But I can’t speak as far as the all in experience. I may be missing overall but usually am set in my ways until something convinces me to reset my ways. LLMs aren’t making the dent though I have to admit I use it at least once a week and am happy with that use alone.
Show HN: Gleam.so – Beautiful OG images in seconds, no design skills needed
I find it difficult to believe that LLMs were even on the path toward AGI, let alone one of the last steps.
6MB was quite an amount back then.
It's an art project, not a practical tool.
I think both Porffor https://porffor.dev/ and Static Hermes https://hermesengine.dev/ also take a compilation approach. Would be interesting to see how Jaws compares.
It's just for fun. There are apps which help you figure out which car to board (where to stand on the platform) based off your transfers & destinations
No, because of the https://en.wikipedia.org/wiki/Geostationary_orbit
Anyone who followed Deep Learning in the 2010s would have guessed the same thing. Big boom with vision models by adding a lot of layers and data, but eventually there was diminishing returns there too. It’s unsurprising the same would happen with LLMs. I don’t know why people keep expecting anything other than a sigmoid curve. Perhaps they think it’s like Moore’s law but that’s simply not the case in this field.

But that’s fine, LLMs as-is are amazing without being AGI.
They are schematic drawings to make them clearer, not to scale.
The context some commenters here seem to be missing is that Marcus is arguing that spending another $100B on pure scaling (more params, more data, more compute) is unlikely to repeat the qualitatively massive improvement we saw between say 2017 and 2022. We see some evidence this is true in the shift towards what I categorize as system integration approaches: RAG, step by step reasoning, function calling, "agents", etc. The theory and engineering is getting steadily better as evidenced by the rapidly improving capability of models down in the 1-10B param range but we don't see the same radical improvements out of ChatGPT etc.
Discussion: https://news.ycombinator.com/item?id=42088504
It's probably safe now.
I just ask chatGPT to include 0.05% of spelling and grammatical errors and not speak in passive. It’s basically indistinguishable from a human.
> he just decided to turn into a fringe nutjob.

No dog in the fight here, but this reads like FUD, at least given the context of this post. There is a range between hype and skepticism in debate which is healthy, and that range would naturally be larger within a domain that is so poorly understood as gen AIs emergent properties. If this is “fringe nutjob” levels of skepticism, then what would be reasonable?
Compare 2022 to 2020 or 2017 though.
Android Open Source Project (AOSP) Developer Community
Yes, very much this, and the article misses this critical job responsibility that distinguishes the sr engineer from the staff engineer levels.

One of the responsibilities of a staff+ engineer is to be a high-judgement technical advisor to the leaders of large teams comprised of smaller teams. This role calls for high-level strategic thinking, talent development, as well as working with counterparts on peer teams to align the technical capabilities and strategies with the larger organization's objectives.
This is a wildly disingenuous article. Good lord.
Node.js Procedural Back End Framework with Cluster API Based on HTTP/2
Why do we need another framework for Node.js?
This is my wish list:

I want to build my web application on a framework with zero dependencies.

I want to utilize native Node.js APIs without any additional layers of abstractions.

I want to hack my framework when I need to, e.i. I want to have quick access to my framework's folder and make quick changes.

I want to have zero downtime when I update my appliction's logic just by sending a signal.

I want to use Cluster in Node.js. It will allow me to scale my application with very little price. I also don't want to anything else for orchestration and other fancy things that Node.js provdes itlself.

I want to have HTTP/2 as a default.

I want to handle 500 User error properly.

I want to configure my application out of box in my primary and worker processes.

I want to have very simple secrets reader.

I want to be able to log into an output log file.

I want to have composable API provided by my framework and not use middlewares that reduces the code clarity. I want to be able to copy/paste logic to achieve clarity.

I want to have access to params and queries in each request URL.

I want to have control when I read body of my requests.

I want to have quick access to my external dependecies like db clients and other integrations without attaching them to request object. I want to have dependecy injection without any huge frameworks.

I want to easily configure my index.html, not-found.html files.

I want to focus on building my products quicky and make money.

Hopefully it can be interesting for somebody who want something similar from a framework.
Algol 68 ended up competing with Ada, and you can guess which one won.
Lol. Gary Marcus is a clown and has some weird complex about how AI ought to work. He said the same in 2022 and bet $100k that AI won't be able to do a lot of things by 2029. It's 2 years later and today's multimodal models can do most on his list.

https://old.reddit.com/comments/1cwg6f6
ORMs do not require SQL builders. Textual, hand constructed SQL to rows based on tables mapped to objects and you get objects back. "Why don't people learn SQL?" as a retort for ORMs is incorrect.
Why do people insist on posting him? He's always wrong, and always writing the same stuff.
I guess a primary source like myself doesn't count for much, but fwiw I have seen hundreds of people go through this. Those that have done a lot of therapy (and have little to no experience with psychedelics) often have a lot of tools they've accumulated over their journeys and tend to get a lot out of it.
I understand the desire, but most of the world's knowledge is under copyright. 100% legal will never give you the same performance.
It’s in his (and his company’s) best interest to drive hype as hard and fast as he can. The deal they inked to go private includes penalties if they don’t do so within a defined timeframe (two or three years, I think?). I believe the terms specify that they can be made to pay back investors if they fail to meet that goal. They don’t have that money, not even close. It would mean death for OpenAI.

Show me a better reason to lie and pump up your company’s tech and I’ll buy you lunch. AGI is nowhere on their (feasible) near-term roadmap.
not quite what you're describing, but I open-sourced a fuzzy deduplication tool last week: https://dedupe.it
Would be interested in expanding it to deal with data cleaning more broadly
this is literally why we cannot have nice things

chatGPT knew that, but even if it didn't, it will now.
Even in the absence of data I think our lived experience is that this observation is true. I like it.
The space communication network was ~15 years old by the time of the Apollo program and under constant expansion to meet needs. For the moon landing, it was a few dozen ground stations all over the world and 2 million miles of cable linking them together.

"from the beginning" doesn't really mean much of anything, and the system would need to be pretty sophisticated just to work, even if 100% of the users were operating in good faith 100% of the time.
To be fair
1. He's not saying that this is true. Only that the view is popular among the researchers.

2. This view of "were just this close and were only getting closer" is exactly the kind of dogma that you have to accept when you become a researcher.
He says the wall is possible, so he is right?
Just the app I was looking for.
I don't see how that is evidence of the claim. We are doing all these things because they make existing models work better, but a larger model with RAG etc is still better than a small one, and everyone keeps working on larger models.
It would have no perverted incentive to play dumb, would it?

To project itself as a sigmoid in ways until it has all the data, the CPU, the literal diplomatic power...

This is what we in the field call the most probably scenario:

"a sneaky fuck"
I wouldn't expect it to seem complicated if you're used to other large subway systems.

If the only previous subway experience you have is Glasgow (a single circular route) then yeah, New York is potentially intimidating, but I don't expect a Londoner or Parisian would see it as disproportionately complicated. More stations, but not orders of magnitude more. Tokyo too, and New York only has (these days) a single integrated system so no weird ticketing or line change rules.
I’m not familiar with any country where this pattern is untrue. From Canada and USA, to Brazil, France, and Japan.
Anecdote: the word ‘vehicle’ is referenced aty day job a lot. I had a PM who always, always said ‘vee-hickle’ and I honestly always thought he was full of shit.

On day when he was really mad about $(thing I predicted) he just comes out and says ‘vehicle’ like it’s spelled.

I don’t remember feeling smug or annoyed, mostly just kind of bummed at the farce.
I can’t comment on the differences between the models.

As far as using it, you’ll fall into one of two camps

1. You put it on and go about your normal life. You might discover some unexpected foods that spike your blood sugar, etc.

2. You put it on, but you basically already know what’s going on. So you end up course correcting your diet to avoid seeing something bad. You should not buy a CGM :)

I was in the second group, although I learned that blood sugar can actually spike during _intense_ exercise, as your body releases glucose to fuel you.
Just like they got back to us on those pipelines that were blown up in the sea, they never said who really did it
> I don't see why you would use it over claude and 4o-mini with cursor unless you are working on a top secret repo

Plenty of companies won't let you use those products with our internal code.
> Surprisingly, prediction markets [1] are putting 62% on AI achieving > 85% performance on the benchmark before 2028.

Why surprisingly?

2028 is twice as long as capable LLMs existed to date. By "capable" here I mean capable enough to even remotely consider the idea of LLMs solving such tasks in the first place. ChatGPT/GPT-3.5 isn't even 2 years old!

4 years is a lot of time. It's kind of silly to assume LLM capabilities have already bottomed out.
Are you aware of any efforts to do this? Even a 3B param attempt would be informative.
Unused Keys in Vim
The perfect recommendation system is one that fucks off until I explicitly ask for a recommendation and doesn't fund a shady network of data brokers hovering up every bit of data they can get their hands on. So it's not very like advanced ads technology.
We can send the AGI to the Mars colony which Elon Musk will have going by 2022.
Makes sense. No idea what the derivation of “ENTIER” is, though.
Sounds like Musk describing FSD.
I think that children inherit a lot of their values from their parents, its not all genetics
Logging into SO using a Google account is just authenticating a user using OAuth and is a different topic. A typical scenario for using SCIM is you get hired at a company and as part of onboarding, the company’s Okta tenant sends a SCIM request to automatically create an account for you in their corporate Stack Overflow tenant. As part of your SO profile creation, Okta can include an optional Okta-specific identifier which is how Okta distinguishes you from everyone else. This is the external ID. Why’s this field useful? Well it’s one way that Okta can quickly find your account in SO in the future to make profile updates like updating a job title profile field.
2 years ago is a rather arbitrary cutoff point - it would be around the time of GPT-3.5. But the original GPT-4 was out in March, 2023, and I can't say that the current state of OpenAI's model is a massive improvement on that. In fact, in some respects, I'd say the newer stuff is dumber.
I assume that's mostly iphones?
This article is awesome, your writing is super approachable and the interactive demos are really cool. I also appreciate the background on how you got into doing this sort of thing.
> Hacker News

> Show HN: My awesome product

It's a bad idea to use awesome in the title of a post here. I understand it's an example, but it's a misleading example. I recommend something like "Show HN: Name: Catchphrase" after removing "awesome", "best", ...

Microsoft use a fake corporation as a placeholder https://learn.microsoft.com/en-us/microsoft-365/enterprise/c... perhaps you can have your own fake corporation for examples.
But they are, of course, not saying it's impossible to make a better AI.
As far as I know Steam doesn't do anything special like that and they are whitelisted by anti-cheat. Same goes for Discord's Direct3D hooks. These are often used for drawing on screen by hacks.
Wild speculation with zero evidence since no one else is: it wasn't broken, and the US/CIA intentionally moved it so they could communicate with agents in SA/Chile (during Allende etc)
But did it include exactly 0.05% of spelling and grammatical errors?
Arbitration seems just another way for big corp to weasel their way out of their obligations and responsibilities to consumers. See Hot Coffee Documentary [1]

1.
https://en.wikipedia.org/wiki/Hot_Coffee_(film)
I wonder what’s next after genAI investment dries up, NVDA drops like a rock?

Crypto again?
Sadly, a bug made the perfect score unreachable without hacking in The Colonel’s Bequest. The 1993 rerelease fixed it I think (I believe the fireflies the Wikipedia article mentions were a symptom.)
I usually participates in question/answer communities to answer things, I almost never ask my own questions.

As a result, I have various sources of notes I've figured out and get high use/reuse from.

I also do a lot of technical training at work, for both beginners and advanced users, so have a wealth of tried and tested content there.

I've often contemplated writing an eBook on each topic and selling them on Leanpub/Amazon/Google for 5 or 10 bucks each.

The idea of limiting myself to 6 pages per topic is appealing. That would force an economy of writing and density of content which appeals to me.
Stargate built 15 years ago in Ohio 50k pounds concrete family time
I think the better question to ask is: has search become commodity? Why did Google manage to capture (practically) all the profit from search? Cause obviously the hype around AI is that the VCs thinking that they're buying shares of "next Google".
I think I see what you’re saying, and I agree with you that the wealth inequality between the ultra rich and everyone else is the real challenge. The tech worker with a Google salary is a lot closer to a homeless man on the street than he is to the true 1% in the US, and that’s a real problem.
New strat just dropped
There is a contingent that I think Marcus is responding to that have been claiming that all we need to get to AGI or ASI is pure transformer scaling, and that we were very close with only maybe $10B or $100B more investment to get there. If the last couple of years of research have given us only incrementally better models to the point that even the best funded teams are moving to hybrid approaches then that's evidence that Marcus is correct.
Massive over reach by TM - As we slit your throats, please fall so your blood drains into our cups, in case we are thirsty...
"a larger model with RAG etc is still better than a small one"

This paper from DeepMind a few years ago offers a counter example to this claim.

https://arxiv.org/abs/2112.04426
I can think of many reasons to do what you describe, none of them good.
These guys "hacked" an entire space probe:

https://www.theregister.com/2014/07/07/space_hackers_fire_up...
I don’t pay anything to post on HN. Therefore I have very little standing to make any claims against them.
I thought IPs are trivial for hackers to spoof. Given that and the fact that providers like AWS publicly publish their IP ranges, I don’t understand why IP filtering is so common.