skysight-inc/HackerNews huggingface dataset:
My first exposure assembly language was the PDP-10. All I had was the DEC-10 processor manual. I was completely baffled by it. It had hundreds of instructions, with completely opaque descriptions. What was a register? What was an accumulator? What was an address? What was a stack? I had no idea. David Rolfe wrote some subroutines I needed for my Fortran version of Empire, and that helped a little, but I was lost.

One day, I asked my friend Shal Farley, what was a stack? He said "Imagine a stack of plates. You added a plate (pushed it on the stack), and took off a plate (popped it off the stack). Suddenly, Shal had turned the lights on! I instantly understood it.

Then, I began working with a 6800 microprocessor on a little board. It had something like 40 instructions, that all fit on a card. 40 instructions were simple to learn, and suddenly, I got it.

I want back to the -10 manual, and it all made sense.
Thanks! and this is actually one of the things on my list. Still noodling on how to do this effectively and efficiently, since I want it to follow my same process of filtering through gpt-4o, and running 10 years of data through that could cost me.

But yes love the idea : )
Interestingly, Washington State (US) banned this back in 2017. I remember when I was younger actually getting these kinds of farms pointed out on a boat trip. The boat captain mocked them because they still legally called themselves "wild caught", since they existed in open water instead of farms.

https://www.dnr.wa.gov/news/board-natural-resources-ends-ope...
The blog mentioned that strategy, in the form of gold ore in a gold ore boulder found lying around

It a standard strategy for resource dispensation (though cooldown doesn’t alleviate the infinite resource problem; it just slows it down), it’s just… boring and unimpactful
They are not going to say "we are making an agent to replace programmers. We will use their code and their guidance to train it"
OSS reinforcement learning lib by ByteDance is used to reproduce DeepSeek R1
The weekly trending python project on github (https://github.com/trending/python?since=weekly) is *verl* (https://github.com/volcengine/verl)

This framework is used by Bytedance to train RL reasoning models that achieves openAI O1 level performance on olympics math problems. Code is open sourced.

Now many people are building on top of it to reproduce deepseek R1:
- https://github.com/Jiayi-Pan/TinyZero (8.6k stars): reproducing ds-r1 zero on countdown tasks for just $30, with a model with 3 billion parameters
- https://github.com/ZihanWang314/ragen (700 stars): ex-deepseek researcher use verl to build open source LLM + RL + agent model training framework

Reinforcement learning is back as the hottest topic now. Why was it not popular in previous years?
> The ratings is because of what the fame David Lynch achieved after making this.

Okay, so that's a risk of false positive success. It doesn't mean the bet is pointless, just that it's not the ultimate metric.
You should be ashamed and feel bad for that
> morally culpable

Whose morals? What morals?
IRS Employees Who Took Trump 'Buyout' Ordered to Stay, Work Is Too 'Essential'
This isn't an "audit." It's an extralegal raid.
Kodiak AI
That's what we did with our web scraping saas - with Extraction API¹ we shifted web scraped data parsing to support both predefined models for common objects like products, reviews etc. and direct LLM prompts that we further optimize for flexible extraction.

There's definitely space here to help the customer realize their extraction vision because it's still hard to scale this effectively on your own!

1 - https://scrapfly.io/extraction-api
Evaluate based on both. Why remove any explanatory variables?

And for what it is worth, the paper itself has plenty of other interesting findings that OP fails to discuss or rebut at all. OP asks an LLM some very basic statistics questions, putting into question their ability to credibly apply and interpret the LLM's findings.

My interpretation of that evidence is that OP, a random internet commenter, just doesn't think it is credible that plastics are harmful to humans, and is grasping at plastic straws with cherry picked evidence and poor rebuttals to reach that "fact based" conclusion.
I've seen what a week's worth of groceries looks like for four people and short of a rickshaw you ain't getting all of that on a bicycle with or without panniers. I'm fairly certain the respondent is coyly ignoring the headcount requirement in my original sneer.
What are ratings if not the aggregation of many people's personal preference?
Letting random anonymous people write whatever they want to your database as many times as they want with no protection against brigading or spam is unlikely to ever produce a useful site.

A realistic community contribution site requires at least some thoughtfulness toward malign interference. And no, a captcha doesn't do it.

https://imgur.com/a/sdtWjxj
Where Coal Is Retiring, and Hanging On, in the U.S.
> My father was a radar officer in WWII, and recalled warming his hands on cold British mornings in front of the beam emitted by a "magnetron" inside his primitive radar transmitter. Then he went back to work detecting Nazi aircraft. But, it is a short distance from warming to cooking- in 1946 engineers at the military contractor Raytheon noticed microwaves could not only warm, they could heat and cook food.

In the 1990s I was a contractor at DRA Malvern in the UK, which was one of the successor organisations to the WW2 radar research establishments. The greybeards I encountered always felt that they had invented microwave cooking even if Raytheon got the credit later. Sausages cooked using the lab magnetrons, they said, although unfortunately there were no photographs.

The future of cooking was something that famous futurist Arthur C Clarke got wrong. He might have predicted geostationary communications satellites but in his short story The Sentinel - which was the inspiration for the film/book 2001 - the crew of a small lunar rover fry their sausages in a conventional frying pan.
> eggs were placed alternatively in boiling water (Th = 100 °C)

Well nuts, at my altitude water boils at 93ºC. It doesn't appear there is a (known) closed-form solution to this problem, unfortunately :P.
Lithium-ion is an umbrella term that properly includes common cell chemistries like lithium iron phosphate (LFP), lithium nickel manganese cobalt oxide (NMC) and lithium nickel cobalt aluminium oxide (NCA).

It doesn't make sense to compare LFP vs. lithium-ion, because the first is a sub-type of the second.
Right, I think we agree?
From my perspective, the issue is the activists/most motivated to work in jobs focused on and implement DEI appear to judge the outcome and speed of that outcome as the only important metrics of success in any and all fields. The methods of getting there can't be questioned without being cast a racist or right wing or anti-DEI in these circles so its self-reinforcing, and if you aren't in these circles you aren't listened to either.
IMO: Copilot (and Devin) has always missed the mark. Its always been a lazy, bad product that feels like it was made by a team that doesn't even want to use it themselves. Going more agentic is only going to make it worse; Copilot's product leadership appears obsessed with more comprehensive replacement of their customer workflows, but ideal customers want deeper and more fluid integration into the workflows.

Its one of those facts that seems so obvious once you realize it, but no one at Github clearly does. Who is buying and using these things? Seriously, anyone at Github, answer that, not who you think is buying them, but who is actually buying them. The answer isn't CEOs or CTOs; its Software Engineers (or CTOs, for their Software Engineers). Github's leadership needs the answer to be CEOs or CTOs, because the scale of investment (to produce such a shit product) is so large that only per-customer revenue commensurate to the replacement of SE salaries justifies it.

I know of four companies (including my own) that had a corporate Copilot subscription for their devs, and over the past quarter/this quarter are replacing it with a Cursor subscription, at the request of their devs. I'm super bullish on Cursor and Supermaven.

- I think they understand their ICP way better.

- I think their ICP is actually excited to spend money with them.

- I think these new companies have demonstrated that they are more willing to build more than just a panel in VSCode; whereas Github is bogged down by legacy interests.

- I think this deeper level of integration into existing workflows is what pushes AI past the hump of "oh i want to use that". Speeding up existing workflows by 30% feels insanely good. It grows the pie. Smaller & smarter, not larger & derivative.

- I think, from a business perspective, MS/Github has and continues to royally screw up by literally subsidizing the cost basis of their competitors by building VSCode and hosting billions of lines of open source code competitor models train on. I love it as a user. But it costs them millions of dollars, and every dollar of that spend makes their competitors stronger.
Until reasoner AI 10x's research and solves it far ahead of schedule.

You don't even need robotics, just a good multi-modal reasoner model with domain knowledge that you can attach to a headset manna-style [0]. The only thing that makes blue collar work different from any minimum wage labor is the System 2 reasoning required, and that'll get solved.

[0] https://marshallbrain.com/manna1
I used to love Ripcord, but I wish the developer would take the FastSpring payment button off their site. I paid back in 2020 or so because it was fantastic back then, and I had hope development would continue. The Slack implementation is completely broken now, and the Discord implementation got so buggy, I finally made the switch to using the official Discord client in my browser instead.
It's not the miracle you seem to imagine! I deleted my linkedin account at least fifteen years ago now, disgusted by their spammy, underhanded recruitment tactics, and I have never had any trouble finding interesting work.

I understand that some people find it reassuring to receive a constant stream of recruiter inquiries, but from what I hear these messages are mostly low-effort, shotgun-blast attempts to fill undesirable positions, so I don't feel like I am missing out.
Walden, by Thoreau

The Myth of the Machine, by Lewis Mumford

Cloud Hidden, by Alan Watts

Computer Lib/Dream Machines, by Ted Nelson (Technology purpose and arrow)

The Rise and Fall of the Third Reich, by William L. Shirer

Small is Beautiful, by E. F. Schumacher
I haven't read the original but I am familiar with the broad stroke view. There are similarities (perhaps vague) in the more recent work of someone like McGilchrist and his The Master and His Emissary (another book which I only have a broad stroke view of).

At the time I had this idea I did not know of either of these. I think I was drawing explicitly on the conscious / subconscious vocabulary.
IntelliJ with Cursor-like autocomplete or Cursor with IntelliJ-quality general IDE tooling (lookup/rename symbol, diagnostics, and general UI) would be the ultimate editor.

IntelliJ’s autocomplete was really bad last time I tried it, and if it’s still only single line it’s still bad. Fortunately GitHub copilot in IntelliJ is good, maybe as good as Cursor except that it can’t delete/rewrite code or jump to different locations.

IMO agents aren’t nearly as important for either team to focus on, because they can be used outside of the IDE or in a separate IDE. I think the teams who develop the best agents will be big model-trainers and/or teams dedicated to agents, not teams writing IDEs.
Did you use machines, or barbells/dumbells?

I find machines hyperfocus the training on specific muscles, but take away most need for stabilization. They can also cause RSI-like effects by constraining you to one and only one movement path.

With barbells (or dumbells, or kettlebells, etc.) you have to not only lift the weight but also balance/stabilize it, that recruits and strenthens a lot more small muscles along with the major muscle area you're training.
It optimizes for echo chambers. You see what gets upvoted the most.
> It's a really hard problem.

Classify them as weapons of mass destruction. That's what they are. That's how they should be managed in a legal framework and how you completely remove any incentives around their sale and use.
All my old assembly games would be 14x too fast. I'd have to adjust the between loop sleep constant?
...so you are saying that the probability distribution indicates that there is a 50% probability that there more than a spoon's worth of plastic in our brain?
> 8 cycles between boiling and room temp would be tedious without automation

Sounds like there is room in the market for a periodic sous vide device. Can't get around pumps. But maybe it's a two-piece device, with a heating element for the hot tank (use your own pot)-- the user is responsible for putting ice in the cold talk (use your own pot)-- and a hoses and pump assembly to dump and drain to and from the cooking tank (use your own pot).

I guess the tankless system isn't the MVP. A two-egg cooker is. Two tanks, one the user fills with ice, the other which contains a thermometer and heating element, and a small cooking tank with circulation and a powerful pump (expensive bit) to quickly dump and drain.
I mean, people don't have a problem with the iPhones being built by essentially slave labor.

If you can walk out the door under your own power, then you're not a slave. Check your privilege (and while you're at it, your history.)

If you gleefully throw Nazi salutes while addressing a friendly far-right audience, then you're a Nazi, mentally ill, or both. Either way, I'm not buying a car from you.
> Do we have test coverage of the use-cases that are affected?

With statically typed languages and good tooling like JetBrains ReSharper, there are guaranteed safe automated large refactorings that can be done as long as someone isn’t using reflection.m
Good feedback! ill work on making it a bit more clear.

as for the time-dependance / algorithm, good question .I'm still working on tweaking it, right now recency has a 30% weight. I just started this last thursday so im quite unsure how things will change / look on the site over time and what makes sense for a half life / decay of an article.
What are those many ways? Help me understand - I've been doing this shit a long time and I can't think of many ways to provide what Cloudflare does in a way that is cheap, easy, and scalable without working at the HTTP layer. So please help me learn something new, what are those ways?
Microsoft Go 1.24 FIPS changes
In fact, just take a look at the "merit-based" hires the administration that they get on 3-hour podcasts to defend makes. Hegeth, Gaetz, Bondi, Noem --truly leaders of their respective fields surely. This is what you get when you have a small group of people only breathing the air of each others' delusions in a windowless room with no natural light.
Yes. Except our government is the largest buyer.
>For software developers and audio enthusiasts, this might seem like a big deal. But, surprisingly, almost no one noticed.

Because MP3 software encoder or decoder has always been free for personal use.

> because the MP3 format was proprietary.

MP3 is not proprietary. But I guess the word proprietary has different meaning in the modern day communication. Just like patents free.

AAC-LC, baseline version of AAC, has been declared patent free by Redhat in 2017.

Other than not having a true open source top quality AAC-LC encoder, ( most people just use the best one from iTunes but not open source ). There are very little reason to use MP3 today. AAC-LC was introduced in 1997, iPod was introduced in 2001, Nearly all hardware since 2003 has had AAC-LC support.

Of course people may prefer to use Opus. But unless you want low bitrate, I would argue the small bitrate saving at 160Kbps+ is not worth the backward compatibility offered by AAC-LC. Or simply go lossless.
The NSAs charter should be to secure this country and not attack others.
The answer to the question "Is X patent-free" can never be yes until all possible patents have expired. I don't think it's really even possible to do much more than what AV1 is doing. Any patent known was avoided or is royalty-free.

> To fulfill the goal of being royalty free, the development process requires that no feature can be adopted before it has been confirmed independently by two separate parties to not infringe on patents of competing companies.

> [...] technology contributors license their AV1-connected patents to anyone, anywhere, anytime based on reciprocity (i.e. as long as the user does not engage in patent litigation). As a defensive condition, anyone engaging in patent litigation loses the right to the patents of all patent holders.

> As an additional protection for the royalty-free status of AV1, the Alliance has a legal defense fund to aid smaller Alliance members or AV1 licensees in the event they are sued for alleged patent infringement.
Fair enough. They were able to exploit it with a massive share offering at a high price, which not only got them in the black but set them up with considerable holdings sufficient to survive the next downturn. So they're not going anywhere. But yeah, I don't think they have any ideas for future growth.

They should have used that money to buy GOG and go into digital distribution competing with Valve & Epic, or something like that.

But then again, so many stable companies get pushed by their investors to make big ambitious bets, then go belly-up. I kinda got respect for them just focusing on a good brick-and-mortor game buying experience.
That's insane lol.
Well, I'm just saying: the preceding comment believed themselves to be a contrarian for thinking it was OK for NSA to have these vulns, and it looked like you were rebutting them. But your rebuttal, if that's what it is, restates a premise NSA shares.
The lesson is not in vulnerability management.

The lesson is that our desktop software is garbage and the vendors are not properly held to account.
> why do you want to learn assembly language?

Back in the 70s I was fully aware that learning computers was the key to the universe. And if you wanted to learn how computers worked, you have to learn assembler. And if you want to be more than a beta programmer, you had to learn assembler.

> Knuth invented a hypothetical computer "MIX" with its own assembly level instruction set

I never bothered with that. Why, when real computers are available? MIX is a waste of time.

> it is not practical for many modern use cases and has sharp edges

All CPUs have their sharp edges. Like learning to use a milling machine, you don't want to drive the cutter into the vise. Sure, the 6502 doesn't have a divide instruction, but writing a divide routine is a good start to learning how to make the 6502 dance.
The README is indeed clear, engaging and well-structured! The Screencap gifs are pretty helpful to immediately understand the scope of the project.
I blame modern software development methodologies which value feature pushing and ceremonies above well working basic functionality.

Look at something like the CCC video streaming site. Hyper focused on its thing, works wonders, developed entirely by volunteers with the help of academia.

If volunteers can do something on a shoestring budget, why can't Disney or Amazon with close to unlimited budgets approach even a fraction of the usability?
We've got a lot of 20+ year old code in production, a lot written late at night in a crunch. Much of it's ugly, non-optimal and screams to be ripped out and replaced.

But it is working, in areas that see little change and are not overly performance sensitive.

So we only do something with it if we need larger changes. Otherwise we leave it be and spend our time being productive elsewhere.
You could probably take this a step further and pipe the OCR'ed text into Claude 3.5 Sonnet and get it to fix any OCR errors
https://www.doge-tracker.com/
This is super, super cool!

I was experimenting with a similar idea recently with the help of o3-mini-high. I talked it through my idea for an algorithm, and it implemented and rendered it in 3D with no manual intervention (although I did prompt it a number of times):

https://3d-water-sim.netlify.app/

It's not perfect yet because I stopped playing with it, but it was improving significantly with each iteration.

Fun fact, it implemented a working version of perlin noise correctly from scratch instead of pulling it from a CDN or something as part of this, for the terrain generation.
One example: Microsoft's closed-source Pylance extension (their replacement to the previous open source Python language server) has DRM that will refuse to run on non-Microsoft builds of VS Code.
This guy says he works remotely from a van, who can gets me back to a previous question, are there any concrete case studies of companies that are actually using AI to replace swaths of employees?
I would recommend against learning MIX, and instead learn the successor, MMIX. MIX was designed in the 1960s, and as a result includes things that simply don't make sense today. For example, the number of bits in a byte is not specified. In fact, MIX is agnostic to whether or not it is a binary computer or a decimal computer! I believe for binary machines MIX says there are 6 bits in a byte, and for decimal machines there are two digits in a byte. Words are not uniform: a word consists of 5 "bytes" and a single bit, used to indicate the sign of the number. MIX has no stack manipulation instructions, and subroutines are implemented using self-modifying code. As in, in order to call a sub-routine you take your return instruction point and write it to a jump instruction in the sub-routine so it will jump back to where you want.
I was looking at Windsurf and Cursor as well, what are the differences?
I asked Deep Research why your comment appeared in it's training data, and it said it doesn't generally have near real time data in it's responses unless it's conducting a real time web search. It thinks it found the answer from pulling together and combining these sources: https://www.animatsiya.net/films.php?search=%D0%B3%D0%BE%D1%... + https://ask.metafilter.com/182144/Whats-this-cartoon-with-a-... + https://www.city-data.com/forum/tv/2017670-dies-anyone-remem... - however it also said it has been trained on youtube comments generally and it's hard to know how many uploads might exist with comments referencing the time stamp, as well as forums that have been included in it's training data that are not indexed by google, but that it itself didn't think it was coming from HN. Who knows. ¯\_(ツ)_/¯
What do you find better about it?
I hear you, but the people I want to communicate with refuse to use platforms that don't so easily ban you.
Yes, my hope is that I'll be able to regain the muscle faster than it took to build the first time.

> So, there are no excuses to not get a pump :)

Well... in my case I'm recovering from a third surgery on the ankle and my focus is on regaining range of motion. Strength exercises increase swelling which negatively impacts range of motion, so I have to wait until I've got the flexibility I need and I'm out of the window of scar formation before I can really focus on getting the meat back.
impressive! so much good journalism exists on substack. wondering what criteria you're using for allowed sources and if you'll expand to different journalists' substacks.
The -11 instruction set is an engineering marvel. DEC had everything needed to utterly dominate the microcomputer business.

But DEC spurned that opportunity, while IBM took it over with the clumsy 8086 instruction set.

There's no purpose to learning the -11 anymore.
Trader Who Made $1B in Single Bet Sues Deutsche Bank
"I'm a Barbie girl" but it's a three voice fugue (2022) [video]