skysight-inc/HackerNews huggingface dataset:
> Most orgs that I've seen follow his writing or ideas have ended up in conflict with the business and one another, isolated on a corporate island, and then gutted by layoffs.

This isn't unique to any single author. This is a feature of cargo cult management.

Healthy organizations and good managers don't need to wholesale adopt management practices of a specific author. Their managers will read a multitude of authors, but their techniques and ideas are treated as different perspectives and suggestions to be considered, not prescriptions to follow in fine detail.

On the other hand, poor managers who don't know what they're doing love to pick specific authors and implement their entire frameworks. It makes them feel like they're doing something right, but it also makes them feel like they can blame someone else when it doesn't work out.
The laptops with the new Snapdragon chips that folks have gotten actual hands on do use active cooling.
Code for a public facing website used by hundreds of millions of people is always more complicated than you think it is on the surface.
Or an indictment of pg’s. (It’s this.)
The point of vector search is to support semantic search. It makes sense that grep will outperform if you're just looking for verbatim occurrences of a string.
Ah, yes, Google testing blog. From the same company shipping products recommending we eat "at least one small rock per day".
The primary challenge is not just about harnessing AI for search; it's about preparing complex documents of various formats, structures, designs, scans, multi-layout tables, and even poorly captured images for LLM consumption. This is a crucial issue.

There is a 20 min read on why parsing PDFs is hell: https://unstract.com/blog/pdf-hell-and-practical-rag-applica...

To parse PDFs for RAG applications, you'll need tools like LLMwhisperer[1] or unstructured.io[2].

Now back to your problem:

This solution might be an overkill for your requirement, but you can try the following:

To set things up quickly, try Unstract[3], an open-source document processing tool. You can set this up and bring your own LLM models; it also supports local models.
It has a GUI to write prompts to get insights from your documents.[4]

[1] https://unstract.com/llmwhisperer/
[2] https://unstructured.io/
[3] https://github.com/Zipstack/unstract
[4] https://github.com/Zipstack/unstract/blob/main/docs/assets/p...
> It's not like webpage space is expensive. There's plenty of room to walk through a good example, it just requires a little effort.

Right at the top of the page:

> A version of this post originally appeared in Google bathrooms worldwide as a Google Testing on the Toilet episode. You can download a printer-friendly version to display in your office.

So no, there isn't room for a longer example.
> Retailers are often unable to put returned items back on the shelves if, for example, a box gets opened or a product gets lightly used before being returned.

Not so my local Walmart. I returned a jar of peanut butter that turned out to be open (the seal under the lid). That type was sold out; I took the last one without checking. Ten minutes later, I went to that shelf and see that it was still sold out. No wait, there is one, again! OMG, is that the one I just returned? I unscrew the lid: yep, broken seal.

Restocking an open food item returned by a customer is gross.
One of my favorites, CM-1 t-shirt:

https://www.tamikothiel.com/cm/cm-tshirt.html
Does this claim to be "journalism"?
or to get criminals to swap to a bugged service. This happened before with a darknet market.
Great project. Spun the docker version up on an Oracle always free VPS instance (server class: potato) in a few seconds and it runs great with my imported OPML with a few hundred feeds. As the enshittification of feedly continues I'm keen to find a replacement.

Am I missing the "mark all as read" button? That would be helpful vs going through 13 years of old posts and marking read page by page (albeit quickly at 500 at a time).
> arguably the most important company on earth right now
This is some Nicholas Negroponte level science fiction charlatan handwaving right here.

LLMs are stochastic parrots. What you’re experiencing when you see its output is essentially pareidolia but with language and not faces.
A big problem is that most states also have an income tax--and most of us want a solution which will calculate both federal and state taxes.
A system designed to be idiot-proof is eventually designed by the idiots.
Sinch from Sweden

https://www.sinch.com/
I think we should have gone straight from steam to faster than light warp drives
I mean if you're running for office and your junky kid gets federally indicted as prohibited person with firearm, something probably 5+% of the populace is unwittingly guilty of due to using pot and being in a house where a gun exists somewhere but basically all but never prosecuted despite being a damning 5+ yr prison charge. The implications aren't too hard to figure out. Some peaceful junky trashing a gun getting federally prosecuted like this is like double lottery ticket winner territory, except it ain't bad luck. It looking more like politics.
I don't doubt what you have said, and it follows my own experiences of politics in Australia.

But i must say, when I hear the reasons why people vote the way they do, my estimation of their intelligence drops significantly.
Are there any 1-bit LLMs available on GitHub?
But do we ackshually want to use Windows?

The HN crowd is probably in alignment against, but Windows still rules outside of the major metros and tech sector. Sadly.
You know, it's funny on grep: back 25 years ago, I used to spend a lot of time with my IDE and made sure it supported jumping to definitions and such, but I went in the opposite direction... when I sit down at your code base I want to be able to find what I'm looking for without figuring out how to get the perfect code explorer working first (and, frankly, I don't think that the usual implementations of "jump to definition" would handle a project file that contain multiple copies of the function and a ton of conditional build includes anyway). Do you have a recommendation? The #1 issue I run into is with Google projects that use Bazel, so it would have to support that...
How many workloads are running in a compiled language though? I'm at a Java shop right now, and I realized I can save a ton on node costs by just running those existing workloads on ARM.
There's so much wrong here:

* 12 big cores vs 4p+4e CPU

* active vs passive cooling

* Ignoring that M4 exists

* completely avoids single-thread performance even though that's what is most important to laptop users.
One wonders how any of us survived childhood! By modern standards we were dead kids walking and should have been taken into care immediately!
I understand where he's coming from, but on the other hand it sounds like he's trying to avoid saying "maybe that OOP thing isn't all it was cracked up to be".
Windows, since 7, appears to suffer from a "law of conservation of awesomeness": any improvement in one area must be counterbalanced with at least a commensurate drawback in some other area.
Even if all the other senses were gone, the human eyes are hooked up to the human brain. Elon's references to cameras being eyes always glosses over the image processing part.
YOLOv5 on FPGA with Hailo-8 and 4 Pi Cameras
This is a three part series about language-neutral ABIs. It should probably evaluate https://en.wikipedia.org/wiki/SWIG and C# as possible solutions.
Using a touch screen to control wiper speed seems insane. In fact, most of what you wrote sounds incredibly unintuitive and frankly stupid.

Things like wiper speed need to be brain-dead simple muscle memory controls - and similar in behaviour to other vehicles. I own three (cheap and old) vehicles, and I can easily switch between them and control the wipers even if I haven't driven one for 6+ months.

Vehicle control interfaces and design peaked long ago. True of many things in the modern world in my opinion.

I do under these modern designs are cheaper and that is generally the push for them.
Monitor the transactions, collect evidence, get warrants, seize things, collect evidence, get arrest warrants, etc.

if someone is dumb enough to register with a real name, the amount of time needed to coordinate it can be reduced.

like with the 911S5 botnet, they got evidence over the years to build a case to arrest them.

if it's a large group of people, it may take time or a turncoat to slowly gain evidence on the other parties.

seizure of assets in those countries required the police and courts in those countries to have probable cause that yeah it was definitely related to the crime and necessitated seizure in a coordinated fashion. This is similar to the coordinated quiet takeover of a darkweb market, or the coordinated spooky takedown of another, to scare criminals onto the bugged one.
> Sure. But would you say your usage of a laptop is the typical use case? Using it as a permanent desktop?

Guess you never saw 15.6" laptops in your whole life.

Like come on, my 14", 1.2kg is a thing what even I (185cm, 110kg) sometimes find exhausting to handle and I'm not always with it. If my work depended on it 24/7 I would go for 12" or even less. Yet vendors are constantly make those 15" or 17" 2-3kg monstruosities, mraning there is a demand for it.

Try walking in their shoes, I guess?
Translator here:

It is literally the acronym for my name and Maza-nav माझा नाव in Marathi means my name.
Is Hunter Capone? Federal prohibited drug user with firearm with no aggravating factors is unicorn prosecution territory. I guarantee 5+% of HN is guilty of this due to weed but it's almost never prosecuted unless as a tack on for some other serious shit. It's naked political attack on the Bidens.
Why sadly? I’m quite happy with windows, thank you very much. I have just as many gripes against MacOs as I’m sure you do against windows.
If you want to run locally you can look into this https://github.com/PaddlePaddle/PaddleOCR

https://andrejusb.blogspot.com/2024/03/optimizing-receipt-pr...

But I suggest that you just skip that and use gpt-4o. They aren't actually going to steal your data.

Sort through it to find anything with a credit card number or anything ahead time.

Or you could look into InternVL..

Or a combination of PaddleOCR first and then use a strong LLM via API, like gpt-4o or llama3 70b via together.ai

If you truly must do it locally, then if you have two 3090s or 4090s it might work out. Otherwise it the LLMs may not be smart enough to give good results.

Leaving out the details of your hardware makes it impossible to give good advice about running locally. Other than, it's not really necessary.
Absolutely, I don't have a problem with it
'It's better for humans in general': The 4-day workweek is closer than you think
Guess the website is hosted on it... "Resource Limit Reached"

Here is a backup: https://web.archive.org/web/20240528075957/https://firstmicr...
Maybe true for pure software projects. There are other things in tech - robots, from drones and cars to rockets, for example. There are complicated systems that will never, even with banger LLMs, be designed and executed by a small team. Some teams are lightweight and agile and manage to work magic. Maybe tools will help a little there… not so sure. Systems of systems has boggled planners since the first Apollo program, at least. It’s roughly the same approach today.
When Matters as Much as What
What I want to know…can it run Linux? And can it run Linux better than a M3 MBA?

I don’t want Windows. I don’t want MacOS. I want a thin, efficient, fast, light, affordable replacement for my aging Latitude 7370 running Linux.
Not really, Snapdragon X score is 14000 claimed in Geekbench MT, Apple M4 is 13401 published.

Microsoft's requirement for these 1st gen "AI PC" is 45 TOPS of NPU performance, M4 "faster than any existing AI PC" is 38 TOPs advertised.

It's marketing. Both sides. And those are just ARM laptop CPUs after all.
every coal and nuclear electric power station, and a good fraction of the oil ones and part of each combined-cycle gas power station, runs on steam. these are still the majority of the electric power grid. so all those electric cars you see on the road, as well as the streetlights above them and the factories they were built in, are powered primarily by steam. it's just coupled to them through wires instead of driveshafts

so 'The steam car was an inflection point where steam power, for so long an engine driving technological progress forward, instead yielded the right-of-way to a brash newcomer. Steam began to look like relic of the past, reduced to watching from the shoulder as the future rushed by' is utterly clueless

(so is contrasting steam engines with 'combustion engines'. steam engines are combustion engines, except for the ones in nuclear power stations; they're external combustion engines, while the onboard engines that commonly run cars are internal combustion engines. see https://en.wikipedia.org/wiki/Combustion_engine)

so the overall framing of the article is wrong, but that isn't its main thesis. its main thesis is that steamers were slow to start up and complicated to run, and then the matthew effect took over. i don't know enough about early automotive history to evaluate this thesis, but an obvious alternative hypothesis is that only henry ford knew what the fuck he was doing, so everybody else (including gm, which he had sort of founded before he founded ford) copied him once he outsold them ten to one in the 01910s
If AGI were available as an API tomorrow, I would have it come up with 1000 startup ideas, code them all, market them all, and hope at least 1 reaches PMF without leaving my couch.
They should have invented Li-ion batteries as well. What were they thinking…
You are what you believe yourself to be
6 days ago [0](11 points, 2 comments), 3,2 days ago [1][2]

[0]: https://news.ycombinator.com/item?id=40470193
[1]: https://news.ycombinator.com/item?id=40500499
[2]: https://news.ycombinator.com/item?id=40509169
Is ignoring M4's existence really 'wrong' given the fact that it isn't in macbooks yet? Are the benchmarks they mention possible on the iPad? Do the iPads benchmark similarly to the macbooks with the same chip?

Does Apple also have to somehow properly benchmark against the not-yet-available highest end models of their competitor's chips for their numbers to not be wrong?

It looks like it hasn't even been a month since the M4 was publicly announced, I think it's fair that that's just too soon for the benchmarks to make it into these early comparisons.
Why would you be so obsessive about thin and light? Making hardware thin and light costs money and performance.
I find it useful. I'm on a pretty limited mobile data plan. Imagine others might be too. Though I wish there was a way my browser could warn me.
Unsaid in that article is the implicit assumption that the product is webcrap. Not industrial controls, or code within a device that ships to the customer, or the internals of a database, router, or operating system. Implications of this include:

* Errors are mostly harmless, unless they occur too frequently.

* Failures that can be handled by having the end user retry something are generally OK.

* Changes are very frequent and are made for marketing reasons.

Hence the emphasis on moving fast and breaking things. The cost of the breakage does not fall on the implementing organization.
Wipers are a critical safety item. There should be a way to activate them manually, in fact I thought this was a legal requirement in the USA but perhaps I'm mistaken.
Disclaimer: I was Will's direct report, and then Will became my skip level in a past life. I'd rate him as better than average manager, who was surrounded by a lot of well under average managers.

I'd love to hear longer stories on your opinion here, because I have theories on the issues with Will's advice, but nobody sees quite enough organizations to quite be certain. The more stories we hear, the more likely we are to get things right.

My hypothesis is that Will's advice is a lot of recipes to create change in organizations, but lacks focus on when to apply them, and how to be sure you aren't bungling it all up by fixing the wrong problem. This makes the ideas more attractive to the dashing, aggressive, confident executive, whether he has a good pulse on the problems, or he is the kind to trust on the wrong people, and fail to see that they are building enemies (as all agents of change do), without getting sufficient number of fans in the right places. So people that like his advice will tend to fail by overstepping. I know some executive who have an entire career like this, company after company: Seeing themselves as the protagonist of every story, and acting like bulls in a china shop, therefore failing politically even if their diagnosis was somehow right, and their changes made sense.

Ultimately the best advice is 'make sure your manager likes you'. Which works just as well if you are a CTO reporting to a CEO, or an engineer reporting to a line manager. It's trivially easy for executives to think this isn't the case, and then be surprised when the reorg comes.
The less thing I want to use is MacOS[0], the only real alternative for me is a Linux flavor, which may be the case soon enough if keeps trying to pushing Copilot and other AI crap down my throat.

[0] https://ivanca.tumblr.com/post/615979862803562496/
It's definitely selective. Fauci appears to have lied to Congress about gain of function research funding, a crime punishable by up to 5 years in prison. Yet he walks free.

Letting him get away with it because he's rich and because he's advised the president while locking up others for lesser crimes would be selective prosecution. If we can't even convict Fauci how can anyone in our society trust the rule of law?
Smell lets me know when it’s time to roll down the window.
Locally you can choose pypdf or mupdf wich are good but not perfect. If you can send your data online llamaparse is quite good.
This seems clear and authoritative. The one thing I can't wrap my head around: why didn't he say this when the story of Sam getting fired first circulated? Why didn't Sam ask him to clarify the record sooner? It would have been easy to tweet this out at any time.

Edit to add: obviously pg isn't going to respond to every rumor, but this one has had significant attention and he was particularly well placed to address it.
Hook is all you need: 0-API, 0-learning curve React state management
https://www.npmjs.com/package/hook-is-all-you-need

Hook Is All You Need offers a 0-API, 0-learning curve, 0-boilerplate solution that is performant, DevTools-powered (with time travel and logging), test-friendly, supports async flow, and provides compositional, immutable, multi-store state management. It is more of a design pattern than a library.

It allows React developers to view state changes from native useState hook, along with the triggering useCallback, in Redux DevTools with time traveling local state

It provides a powerful dependency injection system that redefines how we think about state management in React. Come and take a look!
Importance of performance in Pivot Tables

Performance is paramount in pivot tables, especially when handling extensive datasets. Think of a pivot table as your data superhero—it manages vast amounts of information and distills it into actionable insights for informed decision-making.

This blog will explore the best practices for speeding up your data analysis with the Syncfusion Blazor Pivot Table. Discover essential techniques that ensure peak performance when working with large datasets. Let’s empower your data superhero to manage your data swiftly!
Here's that segment:
https://www.youtube.com/watch?v=74RdET79q40
Are you in search of the right API testing tool or a viable alternative?

Explore this detailed list of the top 15 free API testing tools. The list includes information on features, pros, cons, pricing, recommended use cases, and a comparison to help you choose the best fit for your needs.
Wabi Sabi in the Workplace
They gave us the go-ahead at work last week so I tried to use ChatGPT today on a task. It failed, and failed, and failed, over and over again. I kept prompting it, telling it where it was wrong, and why it was wrong, and then it would say something trite like, "Got it! Let's update the logic to reflect $THING_I_SAID_TO_IT..." and then it would just regurgitate the exact same broken code over and over again.

It was an absolute waste of my time. I quite like it when I need to get some piece of weird information out of it about the Python standard library or whatever but whenever I try to get it to do anything useful with code it fumbles the bag so hard.
> I'd gladly pay $200 for an aftermarket part that lets me control my goddamn wipers.

A surprisingly low price for what will eventually cause your fatal accident due to inattention.
Regime change as a service. Use AGI agents to apply a wide range of cyber attacks, propaganda, astroturfing, and psychological warfare in untraceable, deniable ways to cause the downfall of a foreign government. Like, let's say, Russia.
> In fact he is right.

Was he, though? I mean, yeah having to push and pop a call stack does indeed require more work than not having to do that. However, compilers can and do inline and optimize out function calls.

And what's the real performance impact of calling functions a constant number of times outside of the hot path? Is an untestable spaghetti salad of things better than a few hypothetical push and pops?

There's wisdom behind Knuth's remarks on premature optimization.
They could focus on battery technology more for sure and much sooner than they did. Demand didn't drive it until much later primarily because they thought that combustion engine is good enough.

First electric cars existed already in 19th century by the way.
it's still not easy. - many years growing up fixing up race cars and such. hardest part besides engine repair
I have about 5000 pages of research notes. I have found that the quality and usefulness of the material varies greatly. Much of the older material is of little relevance with the passing of time. As futile it may seem, I'm finding that re-reading and summarizing rather than straight transcribing is effective. I'm refreshing my memory of what I did discover and only typing up what is relevant now. Fortunately I'm a fast touch typist, so I can stare at the handwritten page and type; only glancing at the screen after a paragraph or two. Two things I find useful to retain are the dates of the original materials and bibliographic references.
they say that recall will remain local on the machine which would make sense but I wonder how easy it would be for them to just ship the resulting model up to their servers.

If they did this, it would mean that we buy these machines from them, capture and store the training data for them and then train the model for them using the NPU and then they just need to send the resulting model up to their servers without having to worry about storing any training data.

All of this, happens at the consumer's cost and infact they will probably make money off of the hardware sales eventually. All so we can give them copies of our brain that they can query at will.

or maybe I'm just paranoid haha! what do you think?
Apache Tika could help extract the relevant bits of PDFs, couldnt it?

https://tika.apache.org/
Basically what X wants to be in the (far) future?
Could this just be a ploy to see how they can manipulate language?