skysight-inc/HackerNews huggingface dataset:
To your own point, the reports serve little value aside from a fabricated narrative that some companies like to build feel-goods around.

Discuss the complexities and needs. Break the work into small chunks. Define what progress means. Set expectations for making progress. Regularly and honestly review why you/the team are or aren’t meeting expectations. Rinse and repeat.

Perhaps this is over simplifying it, but these are the tried-and-true high notes in my experience. If at any point one of those steps isn’t feasible, then it’s a larger issue that implementation process likely isn’t going to solve, so the “to measure velocity or not” point seems moot.
A MAGA style government will let MAGA protest more freely for sure.
Young people today are sad nerds
Interesting, I appreciate the term drop, that may be what I’m looking for.

I’ve considered fabricating some sort of handlebar shields for my ATV when I need to be out in the winter when it’s raining (I work in agriculture in Eastern Oregon) because it seems that gloves that can handle both wind, cold and wet just don’t exist.

Often “waterproof” gloves simply aren’t or have a non-waterproof area on the back/wrist that gets soaked when rain flows down my vinyl (or pvc, I forget) jacket leaves.

What I currently use, extra large heavy duty kitchen gloves over smaller insulated gloves, with vinyl jacket sleeves going over the combination, tends to poorly retain heat in wind, especially while riding. An upside of just using a kitchen glove layer, is they are easy and cheap to have spares ready when they get muddy, or break.

Heated handlebars sounds nice actually, though that wouldn’t be a fully fix to the wind problem.

I’d also love see some sort of jacket made of shingled layers of vinyl that allows for breathability when it’s warmer but still wet in the spring. (Perhaps use some sort of spacing between shingles to foil capillary action)
Gor-Tex style jackets are worthless if you are sweating while it’s raining, may as well just use vinyl and get just as sweat soaked while having a cheaper jacket that lasts longer under damaging conditions.

Winter/rain gear seems intended for people in snow or just standing around.
> All wealth arises from natural resources.

So services, technology, knowledge are only valued in their affect on resources? Commodities are relatively cheap - I can buy me some gold.

Power and status are independant of natural resource ownership.
Please attempt to ignore the title of the piece, the contents are interesting imho.
Most days trends shows zero searches for therabreath. The most it ever shows is 100 searches in a day. The data is spikey.

Search for "land cruiser forum" vs "land cruiser community" -- zero data

In the old days, trends would show you data for almost any query.. it was based off the number of people searching for those terms.

I find it hard to believe that not a single person has searched for land cruiser forum or land cruiser community in the past 30 days.

Almost anything i search for that isn't something wildly popular or current has no data.... pick any non popular term and what do you see?

Edit: I'm seeing data now... refreshed and put therabreath for past 5 years and now there is data. Just a few minutes ago there were spikes of 100 searches, 75 searches, about 15 times over 5 years. Very strange.
https://cybernews.com/news/ai-bots-chatgpt-spread-russia-pro...

The article talks about how they're being used this election cycle.
Try doing this task: http://www.boundvariable.org/task.shtml
Lots of people use the same set of tools for all their projects, so the application doesn't really help allocate to projects or clients.

Instead of going off the active app, doesn't it make more sense to categorize based on the open document, or the folder tree that the document is in?
Non-developers might have to learn something about development so they can push back on inflated estimates, which honestly would be helpful to everyone.

If I quoted you $1,000 to unclog your kitchen sink trap, you'd call bullshit because you can probably find out how easy it is to do that. Likewise, if I quote you 13 points to add a generic error toast message because a POST went badly, you should call bullshit on that too.
BTW, if you want something for road trips, check out Bjorn Nyland's data:

https://docs.google.com/spreadsheets/d/1V6ucyFGKWuSQzvI8lMzv...
so people who are so determined to genocide their neighbours are going to say oh damn, this juicy little "fact" about the other sort of person has already been shared 5 times and the algorithm won't let me forward it again, oh well, no genociding today.
"Most people think of high pharmaceutical prices, and blame the companies you'd expect in Big Pharma. These firms, with storied names like Merck, Pfizer, Novartis, Genentech, etc, are powerful, and they are in the business of developing and selling drugs. But this other group, corporations you haven't heard of, composed entirely of middlemen, price and handle payment for pharmaceuticals between doctors, pharmacies, and patients, are perhaps equally important, if not more so. And unlike pharmaceutical companies, who actually employ doctors and scientists, PBMs don't do anything difficult. They keep lists."

Big Pharma has been permitted to own PBMs.

https://www.ftc.gov/news-events/news/press-releases/1998/08/...
I remembered and ultimately found a source for a workaround for the serialising on flags problem, intel paper at https://web.archive.org/web/20150131061304/http://www.intel.... amounts to new instructions with better behaviour for ILP
Hacking the Mac OS X Kernel for Unsupported Machines (2005) [pdf]
I've been following the state of things, but I'm not sure which ones are the best. There's Meta's CodeLlama[1], Mistral's Codestral[2], DeepSeek AI's DeepSeek-Coder-V2-Instruct[3], CodeGemma[4], Alibaba's CodeQwen[5], and Microsoft's WizardCoder[6].

I'm pretty sure CodeLlama is out of date now. I've heard DeepSeek LLMs are good and DeepSeek-Coder-V2-Instruct was released recently. With the good reputation and its massive size (236b) I'd guess it is the best coding LLM, but if it's not being trained efficiently, maybe Codestral and Codestral Mamba come close.

I don't think the best coding LLMs are close to GitHub Copilot but I could be wrong since I'm just relaying information that I've heard secondhand.

[1] https://ai.meta.com/blog/code-llama-large-language-model-cod...

[2] https://mistral.ai/news/codestral/

[3] https://github.com/deepseek-ai/DeepSeek-Coder-V2

[4] https://developers.googleblog.com/en/gemma-family-expands-wi...

[5] https://qwenlm.github.io/blog/codeqwen1.5/

[6] https://github.com/nlpxucan/WizardLM
Thanks for this! I didn’t know the guidelines were published. This is like FINCEN’s 2013 and 2019 guidances for cryptocurrencies.

“The limit on not-for-profit losses… does not apply to corporations except S Corporations”.

It doesn’t seem to mention LLCs. These are “disregarded entities” at the IRS level, so what does that mean? For tax purposes they are treated as sole proprietorships?

It seems to me there is some “minimum” level of bona-fide for-profit business that might be helpful to reach if you are a prolific traveler or movie goer or eat out in restaurants a lot. That’s my main point. A little bit of effort and you can write off thousands of dollars a year in business expenses while you also stand a chance of making money on top of it.
Because in the end, they are a proxy for time. We can call them "complexity" or whatever, but that doesn't help much with planning a time-boxed period of activity. So they end up meaning "time".
> Scheduling is an NP problem. [...] it takes n^p calculations to schedule it optimally

That isn't what NP means. (An O(n^p) algorithm would in fact be in P.)
Don't even elevate my tantrum.
If you’re outside the US, I’d be even more concerned about the US completely compromising your networks. It’s well known the NSA is tapping backbones, DNS, and exchanges around the world
Which CPU? One of the DEC Alphas?

I tried a few Kagi searches, but found Wikipedia claiming that at least one Alpha ran faster:

> The Alpha 21164 or EV5 became available in 1995 at processor frequencies of up to 333 MHz. In July 1996 the line was speed bumped to 500 MHz, in March 1998 to 666 MHz. Also in 1998 the Alpha 21264 (EV6) was released at 450 MHz, eventually reaching (in 2001 with the 21264C/EV68CB) 1.25 GHz.
Google Slides and Drawings (under + > More...) are great tools. They support the diagramming objects, connectors, shared collaboration, and integration with the other Google Doc tools. They also have great history and diff tools as well as team comments, with actions.
Practical Data Oriented Design- Andrew Kelley(Zig)
> Prompt: Can you compare the two outputs above as if you were a teacher? [to GPT-4, the "two outputs" being GPT-4's and ChatGPT's attempts at a Socratic dialogue]

Okay, that's kinda funny lol.

It's a bit worrying how much the AI industry seems to be focusing on the superficial appearance of success (grandiose marketing claims, AI art that looks fine on first glance, AI mimicking peoples' appearances and speech patterns, etc.). I'm just your random layperson in the comment section, but it really seems like the field needed to be stuck in academia for a decade or two more. It hadn't quite finished baking yet.
> Interesting, so the disk controller firmware understood records / data sets?

Yep. The disk was addressed by record in a fundamental manner: https://en.wikipedia.org/wiki/Count_key_data

An offshoot of this is that the Hercules mainframe emulator reflects that in its disk image format, which unlike other common disk image formats is not just an opaque stream of bytes/words.

> I assume it was a logical transition for businesses transferring from punch-cards or just plain paper "records" to digital ones.

Yeah, that is a sensible assumption. In general, MVS's "not-filesystem" world looks in a lot of ways like an intermediary between paper records/tapes and actual filesystems.
Story points are a useful exercise when trying to discuss complexity of a task but IME it completely falls apart when used as a metric to determine anything useful like velocity.

I had a terrible experience with them once. I was a relatively new, enthusiastic engineer on a struggling team of guys who'd been at the company a long time and were pretty burnt out. Inevitably I started getting all the "hard" stories with a lot of points, til it got to some stupid point where I was outputting about 80-90% of our team's combined story points. Management caught wind of it, didn't like it, so what they decided to do was adjust my points "downward" to be more in line with the rest of my team's output. It really irritated me, because it'd result in absurd situations where my teammates would get a "3 point" ticket that was like, just updating some field in a config file to an already-known value and checking it in somewhere, and I'd get this whole-ass project wrapped in a single ticket and they'd give me the same amount of points for it. And of course this was tied in to performance reviews, adding to how annoying it was.

Another super irritating thing that would happen is I'd be asked to estimate complexity on some super vaguely defined ticket describing some problem that would take a lot of detective work to even figure out how to solve, so how am I supposed to give an accurate estimate of complexity? If I knew that much, I'd already have probably fixed whatever the issue was.
From the point of view of the people doing the scraping, the law is pretty just already and gets ever closer to justice as it discards the various facets of the historically popular legal theory of egalitarian property rights.
Is reading playing? Because most kids I’ve seen enjoy reading.
All the main IDE-integrated ones seem very much on par (Copilot, Sourcegraph Cody, Continue.dev), with cursor.sh liked by some as it has code assistant-first UI.

I've personally went back to the browser with Claude 3.5 Sonnet (and the projects + artifacts feature), as it is one of the most industrious ones, and I really like the UX of artifacts + it integrates new code well into existing code you paste into it.

In the end I think it also often comes down to what languages/frameworks you are using and how well the LLM/product handles it, so I'd still recommend to test around. E.g. some of the main frameworks I'm working with on a daily basis went through big refactors/interface changes 1-2 years ago, and I stopped using ChatGPT because it had a strong tendency to produce code based on the old interfaces/paradigms.

Aider[0] is also quite interesting, especially when it comes to more significant refactorings in the codebase and has gotten quite good with that with the last few bigger model releases, but it takes same time to get used to and doesn't have good IDE-integration.

[0]: https://github.com/paul-gauthier/aider
Several companies wanted to make similar moves, but it didn’t pan out. You don’t have people that you need, among others.
This is one one the most useful and informative comment I ever faced on HN. Thank you very much.
Apple, Anthropic, and other companies used YouTube videos to train AI
It's not something that happens very often, so I'm OK with pushing myself a bit before interviews.

The way that I see it is that it's a financial investment. Not only can you increase your chances of multiple offers (which can lead to increased salary), but performing well could be the difference of $10k+ salary per year.

If you think of raises as a percentage of salary and compound that over the years you might spend at a company, then potentially we're talking multiple 10's of thousands over the lifespan of working at a company - all for a bit of extra effort up front.

It is extra strain for sure - the smart thing to do is to start your prep a month or more before applying. Also, don't keep your prep code in the IDE. I did this (had an 'archive' folder), and Intellisense was picking up the name of an existing class I'd used during my practice (not sure if the interviewer noticed that...)!
They want more jobs to be available at wages where they can afford to buy or build houses.

I would be careful to read into these things too much.
multiplying estimates by PI has proven to be a scarily accurate rule of thumb over the course of my career.
They sell subscriptions to their products for teams and collaboration (dont ask me why its needed tho)
I dunno about Ultima III, but QotA had 'battle screen' sections of dungeon, which basically means a top-down section. I believe the altars are in such sections? I do know there's a three-way split in the Stygian Abyss, because I accidentally went around in a circle last time I played.

QotA is really awesome, I should play it again some time.
After getting bored, I begin randomly reading comments as I scroll. I'm surprised at how I find nuggets this way, though mostly it becomes more of the same.
I know a pretty affluent tech grifter who attended this. I'll pass on this nonsense.
https://www.hippohands.com/
Yes, I know the argument and it has some merit. I just don't find it very persuasive, so a thing being implemented in Rust doesn't make me any more or less willing to use it. To each their own.
I have dual boot on my computer, but Steam on Linux has been getting so much better that I've been running stuff mostly on Linux. It's been a while I had to boot on Windows... But I also own a PS5 and prefer to game on it. Seriously, try gaming on Linux for a while!

I share my headphone and the monitor between the PC and the PS5, but the laptop has its own screen so I don't need to use the monitor all the time. The headphone is one of those wireless headsets that has a USB dongle, so I just need to unplug it form the console and plug it into the PC. No need to keep bluetooth pairing, and I don't suffer from latency issues as well.

As a bonus I can have my laptop open when I play the PS5 so I can see notes related to the game (e.g., combo lists).
I didn't get the impression that rockets were a significant cause. For example, they mention a volcano eruption which would dwarf rocket launches.
OpenStreetMap's 20th Anniversary Celebration is August 9
> Unofficially in my opinion, not specific to Microsoft alone, but [conservative policy plan] Project 2025 looms and true systems change work associated with DEI programs everywhere are no longer business critical or smart as they were in 2020

The Heritage Foundation interns updated their quadrennial PowerPoint deck of wishlist items nobody reads and it’s already controlling policy at the second largest company in the world.
> It's also the constant references to Greek and Roman mythology, via Ovid

that's a perfect reason to NOT "update" it: the past is a foreign country. They do things differently there.

You can't make it seem like the First World in the 21st Century. You just have to go there.
That’s where we want to get eventually. There’s a lot of work that needs to be done but I’m confident we’ll get there. Give us 3 months and it’ll be as simple as running Dropbox.
This is from a MSCHF drop from 2021. I bought them all, of course, and they are some of my favorite stupid little toys ever.
> In accordance with federal law, U.S. authorities must fill the local side with concrete after tunnels of the kind are discovered.

Apropos of anything else, that's a strangely specific statute. I have seen multiple references in the media, but couldn't find it. The closest I've come is 18 USC 555 on the offenses of allowing illegal border crossing tunnels or passages (https://www.law.cornell.edu/uscode/text/18/555) but not on required remedies for law enforcement.
I mean... One still can.

It just has different costs and risks.

Just to posit some numbers: If there's 80 miles of range left, and it is 20 miles to the next charger, but mashing the "avoid highways" button makes that next charger 40 miles away instead: I think I wouldn't hesitate to get off of the highway if I felt it would be useful or fun right now.

I'll hypothetically arrive at a charger with ~40 miles of range remaining instead of ~60. Ain't so bad. I do similar risk assessments when driving long distances on gasoline and detouring from my planned route to mix things up.

Now, of course: There's a decent chance that the charger is broken or slow and being SOL, whereas gas is much more available. That's potentially pretty ugly, and it's ugly in ways that running low/out of gas isn't:

It's easy to score some gas in semi-rural anywhere-USA by knocking on a few doors, being polite, and having a bit of cash. (Some people are complete dicks, but I insist that most people are generally good and I am willing to die on this hill.)

Or: I have cheap roadside assistance. They'll bring me a small amount of gas anywhere...eventually...as a part of the service that I pay for by the month.

It's probably also easy enough to ask nicely to use an extension cord to juice up an EV, but that's a ton slower than dumping in a couple of gallons of gasoline is.

And due to limited range, it's more likely to happen with an EV than ICE.

But meh. It's still useful to go on a mini-adventure sometimes. One just needs to take everything into consideration.

And it'll get easier for EV drivers to do this as time moves on.
I think some of the problems and issues we're discussing here derive from confused project management methodologies that call themselves 'agile' yet require detailed estimation, measurement and reporting of task timing.

Story point allocation can be useful to give a quick and easy 'good enough' estimation of time/effort required for a significant chunk of work (epic).

I find that this approximate approach is almost always more accurate than trying to estimate every little task.

If the project manager and engineers try to break down a project into small granular tasks with time estimates then it's almost inevitable that the effort will be underestimated because it's virtually impossible to anticipate every sub task, blocker, unforseen delay, etc (and then there's the extra time it takes to manage all these micro tasks in your PM system!).

In such situations the old project manager trick of doubling all estimates tends to provide a more accurate timeframe.

This is why story points can be more accurate: because you are estimating the effort it takes to do something relative to your previous experience of similar workloads.

So, if you avoid estimating granular tasks and keep your estimates as the approximate amount of effort relative to something you've done before, then you will end up with a more realistic timeframe. Story points can help with this mindset. Also your team will not have to waste time faffing around in Jira too much, or whatever system you use.
Sorry for being too direct and perhaps offensive, but I'm curious. Was the cancer detected much later? I'm assuming that if it were caught in the early stages, you might have been able to get treated with trastuzumab.
GNU, the org where the devs make money at corps where they use that software. Open source does not mean no money.
HIP works very similarly. Install rocm from your Linux distribution or from amd's repo, or build it from github.com/rocm. Has the nice feature of being pure userspace if you use the driver version that's already in your kernel.

How turn-key / happy an experience that is depends on how closely your system correlates with one of the documented/tested distro versions and what GPU you have. If it's one that doesn't have binary versions of rocblas etc in the binary blob, either build rocm from source or don't bother with rocblas.
This describes hacker news too.
Cloudflare reports almost 7% of internet traffic is malicious
"Brother, it's edge cases all the way down"
- Alan Tuna Turing
Kaggle always was a place to conpete in data science contests to me. I never associated it with anything else. If they did sell ML models they did a horrible job letting people know about it
I searched just now in my YouTube downloads and found the video I was referring to above:

https://youtu.be/9QyQmL-mlV0

The French Paradox: How rich food and wine could help you stay healthy | 60 Minutes Australia

I submitted it as an HN post here, in case anyone would like to discuss it:

https://news.ycombinator.com/item?id=40980964

See:

https://en.m.wikipedia.org/wiki/French_paradox
It bothers me that they don't talk about security here, I don't like it at all.
The idea is that if a task is that large can you really not break it down into smaller steps? Do we understand the problem well enough to implement or are we hand waving over likely areas of complexity? Maybe if you tried to break it down you'd realise that the 21 point card is actually more like 10+ 5 points tasks and you had just though "big" not "I know what needs to be done and can size this accurately".

Doesn't mean these cases never occur but it's worth seeing if it's actually smaller related pieces of work.
Have to wonder if X will be next? I've heard rumblings it might happen and there are rumors the SF headquarters space is quietly being marketed. I think it would be possibly be good to move out of SF, but a mistake not to stay in the Valley.
The French Paradox: How rich food and wine could help you stay healthy
Some funds that tried to recruit me were really interested in classical generative models (ARMA, GARCH, HMMs with heavy-tailed emissions, etc.) extended with deep components to make them more flexible. Pyro and Kevin Murphy's ProbML vol II are a good starting point to learn more about these topics.

The key is to understand that in some of these problems, data is relatively scarce, and it is really important to quantify uncertainty.
It's technically non-trivial and deeply irritating to implement in places as people expect bugward compatibility with cuda.

Also nvidia might savage you with lawyers for threatening their revenue stream. Big companies can kill small ones by strangling them in the courts then paying the fine when they lose a decade later.