skysight-inc/HackerNews huggingface dataset:
As long as the test suite is small enough to quickly run on the devs laptops the gains from CI are fairly minimal. With old school Capistrano-rails you can deploy in 20 seconds and roll back in 5 seconds, IMHO you don't need to pay the price of multi-minute deploys until much later in a project's lifecycle.

I appreciate that they wanted to keep Kamal simple, but rebuilding a Docker image each time you deploy a tiny change feels like a waste. Capistrano just does a 'git pull / bundle / server restart' which seems much more elegant.

Of course, things like upgrading to a new ruby version become much harder with Capistrano's model, you need a separate process for a small release and a big release. But those things happen twice a year, on small projects you can do those manually until you have time to set up Kamal / Terraform / Ansible.
Yes, you are mostly right, it uses LLM in the background, with some smart prompts to make sure it understands your query and suggests the right tools. It’s all about making things simple and helpful for users.
That's more than three times my daily data allowance on my cellphone connection!
Prolog is AI, so whenever I see such a problem, I use miniKanren, implementing Relational/Logic programming in a light-weight way. Bleeding edge AI it is.
Why would you tho?

If you're working against an GraphQL based API, you should be able to pull a schema file. And use that to implement your own API.

All you would get from an Mitmproxy is example queries and mutations. With the additional complexity of extra tooling to stich together the schema file
Say USA had 375k metric tons of gold and wants to use it for paying the debt. This would just crash the gold price and the debt would be nowhere near serviced.
That's wonderful! Thanks!

On mobile the URL is just facebook.com so there's nothing to bookmark for me. It's still useful though.
excuse my poor english :( not a native speaker
Do you have an in depth comparison between RWKV and models like mamba or s4?
It needs to answer the "why" question most IMO. I can read code and see "how" and perhaps guess "what" but the "why" is missing.

It also doesn't have to be that detailed - just a one line comment at the top of a file saying why it's there and what for can make an immense difference to the time it takes to understand code.

Class comments are great too if they have in them everything that's NOT in a ChatGPT summary :-). i.e. I can paste code into ChatGPT myself to get a summary if I really wanted to so I don't need that - but I need all the things it doesn't tell you which is basically why the class exists and what it's intended for.

The lower down the hierarchy it goes the less comments matter IMO.
I used this method too and found several misstakes, it can be pretty gross mistakes where tone shift is not detected by choosing the wrong words. Idioms and fixed phrases are the hardest I guess. Usually I can get an explanation if I ask four-ten follow up questions it can be really hard to get it right. I hope you are not missing mistakes, and that it is just how I use it that makes it such a burden for me.

I have the worst time with transcripts, and email conversations.
Check my earlier comment
https://news.ycombinator.com/item?id=42572483
Coronaviruses can certainly do that. The Russian "flu" at the end of the 19th century is now believed to have been caused by a novel coronavirus:

https://en.wikipedia.org/wiki/1889%E2%80%931890_pandemic#Cor...

(BTW, take all death estimates for old pandemics with a giant pinch of salt).

But at any rate, COVID didn't fill the hospitals. New York had a problem temporarily due to bad management of their very limited morgue capacity, but look at most other places and there was no issue. Even in Bergamo early on, in the period when doctors were accidentally killing patients with unnecessary intubation, they never actually ran out of hospital capacity. Go check the reports at the time if you don't believe me.

Unfortunately, almost everything that people believe about COVID and what happened during it is wrong. When it came to hospitals what you'll see if you review the historical evidence carefully is that media reports and online commentary frequently blurred the line between "it is predicted that hospitals will overflow" and "hospitals are actually overflowing". The former rapidly became reported as the latter with no actual change in the situation. This kind of problem of predictions/reality getting mixed up cropped up many times in different contexts.

Then on top you have the problem of outright fake or misleading reporting. For instance, there was a brief period when TV news crews simply faked reports of full hospitals. They often liked to do this by reporting on a local hospital and claiming it was straining/at the limit etc, then showing video footage of an ICU in Bergamo from months or even years ago without informing the viewer of where it was, leaving viewers to infer it was a video of what was actually happening. This trick with that specific video happened so frequently it became something of a meme. In another case, a news crew turned up and organized doctors and medical staff at the (in reality fairly quiet) hospital to get in their cars and pretend to be patients queuing up to enter the hospital. Someone local got suspicious and visited the hospital a day after the report, discovered there were no queues or overload problems anywhere and asked around what had happened, which is how the news crew were found out.

If you remember, this blew up when bored medical workers started uploading videos of themselves dancing to Tiktok. This revealed the true situation at a time when people were being told to stay home to save the hospitals from overload.

I remember getting into an argument with my German teacher about this topic, because the Swiss health minister (Berset, ugh) actually went on TV and claimed hospitals were overflowing. The Swiss government's own dashboard showed that there was no unusual level of hospital load, there were lots of free beds all over the country and there were no problems to report. He literally just made up a non-existent crisis. They do this because it works, she had no idea he was lying and when I tried to show her the actual graphs just got distressed, saying "I'm not a data person".
This is a particularly amusing case of assuming male gender. If the first possession you see of a person is a dildo, wouldn't that incline you to double-check before you assumed they were male? Especially if it wasn't a buttplug.
> no one buys any of it is real anymore.

I submit that everyone has an operating system; the question is how explicit they are about it, with joy being proportional to the degree of explicitness.
I interpreted the poem less as a literal manifesto against the practicality of blogs and more as a metaphor for how the format impacts us psychologically. Blogs, being chronological and linear, feel a bit disposable—you post and move on—which promotes rot. Wikis, on the other hand, are dynamic and interconnected, inviting ongoing growth and freshness.

I still don't really really agree with that either, though. I tried swapping out my simple static blog for a MediaWiki instance and quickly realized why you don't see many people doing that anymore. Maintaining a "complex abyss of ever-evolving thoughts" and actually writing stuff are often mutually exclusive
The answer is piracy. There are no content providers that are confident enough in their DRM to send 4k streams to devices that are in control of their owners instead of cooperations. PCs are the scariest thing ever and they will do everything in their power to kill them.

Pirate content and be free

Or buy an apple tv and hook it up to your monitor.
gpt-3.5-turbo at 0 temperature:

> The 10.01-pound bag of fluffy cotton is heavier than the 9.99-pound bag of steel ingots.

Interestingly, that was the best answer out of all models and also a correct one. O1-preview doesn't allow setting the temperature, so it's hard to know where the real probabilities fall.
While I can vouch for there being CS graduates who seem mysteriously poor at SW dev/engineering/programming, I also know a chunk of my graduating class never made it into a SW eng career despite having solid CS foundations.

IMO many of them suffered not from being poor at stuff like writing a compiler or foundational CS (because I think some of them were better than me), but not really having a way to translate those core skills to jobs that wanted specific skills that differed. I've had fine luck getting jobs in languages I've never used, but so far as I can tell (a) most people don't even try because they believe requirements are requirements, and (b) it's less and less common consider deviation from "requirements" okay, particularly without connections of some sort.

For non SW engineer engineers it seems worse - I know a good number who've ended up starting unrelated businesses (e.g. making furniture) because they couldn't find a job within a year or so of getting a degree. Or who got masters degrees just to work for $40-$60k a year for 5+ years before finding a way to get paid better.

I do not buy the H1B argument. While I think hiring remote foreigners is now widespread and often an even more economic alternative, I have, for my whole life, seen positions written to be excessively niche, posted in places where actual job seekers will ignore or not see, and applications rejected to hire H1B hires, whether for traditional engineers (chemical, mechanical, etc.) or SW developers. My dad used to enjoy pointing out job ads that weren't supposed to get applicants in papers and magazines.

That said, there's a large mix of H1B hiring types. But most of what I've personally seen and witnessed has not struck me as savory. Every shenanigan in the books gets used - label a SW eng role as "programmer" or "IT system tech" role, muddle whether the comparative pay does or doesn't include benefits valued correctly, reject applicants for inane reasons to get the more "perfect fit" non-American.
Current LLMs are equivalent to tabular Markov chains (though these are too huge to realistically compute). What's the size limit when a tabular Markov chain can generalize to novel inputs?
And trusting Microsoft is the equivalent of thinking the Earth is flat.

See, I can make insulting comparisons too...
What do you mean "apps"? Isn't the messaging app still an... app? Do you mean like proprietary networks/protocols that only one vendor can access? Even by that standard, you can reach half the country through iMessage and the other half through RCS (which has some limited operability on iOS now). And both still fall back to SMS.

The "dominant messenger app" thing just never really took off here in the US the way it did in Europe and Asia. Facebook Messenger was popular for a while, but never the majority. Same with AIM before it, though that was before the smartphone era.

If you really want to reach 90% of the country, though, it's not really about messaging apps... just do something noteworthy and word will get around organically, with people sharing across channels for you.
You can watch the recording of the presentation at https://media.ccc.de/v/38c3-wir-wissen-wo-dein-auto-steht-vo... , including with translated audio tracks (!)
Have you tried the Jupyter desktop app? It's more self-contained.
> Microsoft are significantly changing their strategy, something they probably wouldn't have done if they were market leader.

You have cause and effect the wrong way around there. Microsoft have been pushing this strategy from the start.

There’s a reason they partnered with Sega to put Windows CE on the Dreamcast. And their failed attempt at XNA on the Xbox 360. It was always about owning the software layer rather than them being a dominant hardware manufacturer.

If they cared about hardware then you’d see Microsoft PCs. Instead we have decades of IBM-compatible clones, some half hearted attempts at Windows Phones, which they again didn’t manufacture the hardware for, and a few Surface Pros which are basically just templates to inspire HP et al into action.

The Xbox was always about software dominance but at the time MS knew they had to get their software onto the consoles first.

Whereas Sony was originally a hardware company. They didn’t even own any studios when the first Playststion was released (hence why they released an SDK for the Playststion while Sega still expected 3rd party developers to write assembly like their in house teams were)

So the difference in hardware sales isn’t at all surprising when you factor that in.

If you look at Xbox Live subscriptions you’ll see just how hard Microsoft are pushing this strategy. And to get where they are with it, it cannot have been just a reactionary approach due to coming 3rd in hardware sales. The fact that Microsoft Windows has been pushing Xbox Live for literally years too is further proof of that.

Also when you look at some of the controversial decisions regarding the Xbox One, which MS backtracked on, those unpopular design choices make much more sense when you think of the console as a fat terminal for subscription-based games.

I’m honestly a little worried for the future of the Playststion because if things pan out the way they’re going presently, Sony might just end up an OEM for Xbox Live compatible devices.

> They should have been working on adding a solid console UI to Windows a generation ago.

A lot has been said in the past about Microsoft’s design team and not just for the Xbox One. They’re the only billion dollar company that consistently gets UI more wrong than Amazon.

30 years ago I honestly think they were best in class for designing UIs. But somewhere around XP they lost their way and they’ve been getting worse at it with each coming year.
Even worse is Amazon Prime, which doesn't even provide 1080 on Linux systems, even with Widevine.
Going off my personal experience I don't see SSE being mentioned anywhere at all. But I always come across some new shiny web framework/wsgi listing websockets as a feature.

The reality is a lot of applications simply do not need bi-directional client-server communication but for some reason this abuse has been adopted as standard.
Thumbs can get overuse injuries (2023)
On a quick glance, it seems it's possible to run this as a service similar to JupyterLab, right?

I'd be keen to offer it as an alternative to Jupyter on my little GPU platform experiment.
The need to start the server is really annoying. Especially when you have notebooks in multiple places, or multiple virtual envs.

This is why I moved to working with Jupyter notebooks in VS Code, there is no server to manually start.
Ironically despite my central European heritage, I didn't watch Dinner for One, but I just watched that episode this December 29th, being on a Red Dwarf re-watch spree... again.
frankly I find rot quite appealing.

Rotting produces compost, fertiliser. And at the same time makes way for new things. Great, isn't it?
I mean privately owned, centralized internet based apps like WhatsApp, Facebook (the social media and the messenger), Twitter, etc.
How Java's Executable Assembly Jars Work
I think the link should be: https://drilian.com/posts/2024.12.31-emulating-the-fmadd-ins...
I think companies have a lot of data in systems like confluence and JIRA and their chat solution which is hard to find and people in the company don't even know that it might be there to search for it.

An LLM that was trained up on these sources might be very powerful at helping people not to solve the same problem many times over.
"real successful and effective" =/= healthy.
>should be be able to choose enforceable legal protection or unbreakable technological protection

No. The latter would effectively mean rightsholders make their own laws, rather than follow the law.

DRM should simply be abolished, as it interferes with the premise of copyright: To grow the public domain.
It's mentioned in the article that they hope the model for Linear B can also help with Linear A.
Good detective work.
Second mention, some months later: https://www.reddit.com/r/occult/comments/7gi7pd/comment/dqju...
That's OK and perfectly reasonable, we all love him and Dinner for One just the same.
It's not unusual to make infrastructure investments that will pay off in 30-50 years. I don't see why not an AI model - unless it's not true that we're at the end of scaling.
> ... A Modern and Efficient Alternative to JupyterLab ...

This is not meant as criticism, just perspective. It's a classic development sequence:

* A team creates a powerful, small-footprint, REPL environment.
* Over time people ask for more features and languages.
* The developers agree to all such requests.
* The environment inevitably becomes more difficult to install and maintain.
* A new development team offers a smaller, more efficient REPL environment.
* Over time ... wash, rinse, repeat.

This BTW is what happened to Sage, which grew over time and was eventually replaced by IPython, then Jupyter, then JupyterLab. Sage is now an installable JupyterLab kernel, as is Go, among many other languages, in an environment that's increasingly difficult to install and maintain.

Hey -- just saying. Zasper might be clearly better and replace everything, in a process that mimics biological evolution. Can't leave without an XKCD reference: https://xkcd.com/927/

Again, not meant as criticism -- not at all.
> I remember the first time I picked up a Wired magazine and couldn’t tolerate the insane lack of continuity.

I've never been able to articulate why I couldn't stand Wired so succinctly! Thankyou
In all of "career frameworks" I've seen, people who actually build things are labelled as "juniors" and "middles" while those who navigate office politics and ass-kissing are "seniors" and above.
> One crucial way in which we do this is through the democratization of highly curated data sources that sunshine usage and cost patterns across Netflix’s services and teams.

No engineer has ever said this. I miss when engineering blogs were actual engineering. This blog post has been through so much management waffle rewording it no longer adds much to the conversation.
Yo a 5K run around the neighborhood is nothing like being a slave, or manual labor since being a child.
Some of Tufte's criticism of slide bullets is not specific to PowerPoint, but could be extended to software which work with nested nodes like Roam/Workflowy(software which I like). Workflowy, in fact, allows you to convert a tree of nodes into a linear presentation. Wittgenstein also wrote his classic books as numbered nodes (though not nested).

Indeed, this can also be seen as a critique of structured code editors vs text editing. Mathematics books also follow tree structure a bit, (Def 6.3.1, Example 6.3.2), though there often is some connecting narrative.

The point about oversimplification to fit into a single slide is specific to PowerPoint. But, the critique that organization into discrete nodes often skips over an underlying narrative or a causal structure which connects the nodes is more general.

What can be said in defense of discrete organization? Firstly, the overall narrative is not initially apparent. Listing the pieces together can help to discover this structure.

Secondly, in long essays, the larger point often gets buried in the details. This is especially true in mathematical works where the purpose of a complicated definition/result is only seen a long time later. This also happens in source code, where a lot of preprocessing obscures the central purpose of a function (though of course, source code is not a candidate for a report with sentences anyway).

By forcing these documents to become less dense, the narrative actually becomes more apparent. Whereas with a dense document, the reader's attention can wander away before the punchline.

One issue that Tufte seems to not discuss in the oversimplification critique is that attention/time is limited. Since an organization leader cant read all reports 3 levels down the ladder (either usual style reports or nested trees), there needs to be a strategy for marking specific reports as important and also to mark which details from the document need to be passed on to higher levels of decision making and which details should be only relevant to middle managers.

In the Columbia report, the problem is not oversimplification but that the critical conclusion was mentioned as a low level detail whereas a methodology of choosing a 'conservative' model became the heading.

Could a usual technical report have avoided this issue? The 'conservative' phrase could well have been a section heading and the damage indicated in sentence buried inside the section. But a technical report also has a 'Conclusion' section which could have forced the authors to state their position clearly. This 'Conclusion' section is implicitly a protocol for which information in the report has to be passed up to a higher level. IPCC Reports have a 'Summary for Policymakers' in discrete points (https://www.ipcc.ch/sr15/chapter/spm/). Tufte, for some reason, doesn't like "Executive Summary".
The modern web is why web browsers don't have "nice things" (platform APIs)
There is likely some reason why they all look the same and also happen to be some of the best performing companies there are.
Under that criteria, iMessage still counts (when it's not falling back to SMS). Messenger might still be used, but Facebook is generally falling out of favor with the younger generations... think they use Instagram and Discord more. WhatsApp is generally not used here. Twitter has a pretty limited audience and is mostly used for online comms, I think, not DMs to people you know IRL.
The problem also is, how to stop working on the side project after 10 minutes.
srry not meant to be mean
>I just upload the documents to OpenAI and make it available to the Assistant, and it seems to work fine

That is also my experience, OpenAI assistant attached docs do seem to have a good amount of magic. Migrated over from an admittedly basic/naive custom RAG solution and results are similar/better but just have to work with a doc instead of dealing with RAG. One thing I found is I have to add a strong text to the prompt to force it to always check the doc, apart from that works great.
Additionally, to build up on your example, even though one might be quite confortable with techonology XYZ, if it isn't part of those last 6 months assignments, you might even see lesser skilled people acquire additional levels on those stacks, while the unlucky dev will have its capabilities not acknowledged and thus lose the opportunities that might arise in that XYZ technology.
PIA is just one of the Kape brands. Nord Security owns the Nord, Surfshark and a bunch of others.
Musk isn't weasely in the background, he's unhinged in public. Big difference.
yeah mine to
The amount of denial on this website when this kind of discussion comes is something to be in awe of.

For being supposedly a website for smart, or at least above the average intelligence users.

No, semaglutide won't do the same for you. Fucking leave the house and move.
you're not wrong but its a rounding error compared to the resources sucked up to pay the salaries of the ceos and board members of these giant health insurance companies. If we're going for efficiency of health system resources use, better to start with them.
I often tell my people to “stop decking around”, or “don’t be a deckhead”…
I've come across some terrible programs written by almost-to-be-certified engineers :-) - lots of embedded constants and special cases.

I am perfectly happy to be called a "programmer" though. IMO that's a very adequate description and honourable. No need to steal anyone else's glory.
Building a Sarcasm Detection System with LSTM and GloVe: A Complete Guide
Will Yellowstone National Park erupt? Scientists have new answers
Pulling the schema file can, and often is, disabled server side. And GraphQL APIs can, and often do, decline to serve other than persisted queries, and those can't be really inferred even with known schema.
Lol why is it so absurdly hard
German solar sector in distress as consumer boom fizzles
srry im new what dies that mean?