skysight-inc/HackerNews huggingface dataset:
I have an M1 Macbook and can't bring myself to switch to the Framework I recently bought.

The trackpad is awful compared to the Macbook's. I keep zooming things that I'm trying to scroll. And the click is the kind where it's hinged at the top so you have to click at the bottom rather than anywhere. I tried switching to taps but those are far too sensitive and have no tactile feedback. And when I boot into Linux it's even worse, failing to interpret two finger scroll actions at all unless my fingers are perfectly aligned.

The screen is also... off. I was able to calibrate it with a colorimeter to look close to my Macbook, but it's still not quite right. It seems like the bright parts are a bit too bright for some reason which ends up being distracting.
The decades long quagmire of encapsulated HTML – Russell Beattie's Notes
Enhancing News in ChatGPT with the Atlantic
A Content and Product Partnership with Vox Media
Are we sure it’s a single model behind the scenes doing that?

Practically it doesn’t really matter, but I’d like to know for sure.
For a humorous and oddly interesting YouTube view on what happens to bad engines in cars, see the I Do Cars YouTube channel. Come for the oil starvation, stay for the newly installed inspection ports. On a good day, he'll get some parts to sell from each core. He also occasionally goes through the process of pulling usable parts from an entire junked car.

https://www.youtube.com/@I_Do_Cars
I've seen this done in C++ for generating GLSL before a few times.

One from Waterloo Univeesity in the early 2000s became RapidMind: http://web.cs.ucla.edu/~palsberg/course/cs239/papers/rapidmi...

There were a few others, but I can not remember their names.

Generally these techniques work, but for some reason they tend to die out.
Standardization can be good, but when the entire industry standardizes on the same processes how can anyone differentiate themselves?
You know they'll take the "die at their desks" part out of context. And not absorb the fundamentally unpalatable truth that expertise is real but specific.
Depends what you mean by "win". I suppose it implies "achieved some defined geopolitical goals". Those wars, perhaps, didn't have defined goals -- so what does "win" mean in the context of not having a win condition?
Maybe it’s because “nobody’s heard of them” and “nobody listens to them” that they are allowed to come to correct conclusions?

Maybe if they were as influential as the CIA they would get a ton of political pressure to throw out their analysis and echo the current administration’s foregone conclusions?
I'd need capital as well as financial independence, but I'd work on free / at-cost daycare, including for shift workers. Working in infosec, I've often thought that one of the reasons (not the only one of course) that we have so few women at the senior levels is that so few women can take the typical entry route (night shift SOC) for family reasons. I'm sure there are many other similar professions.

If that didn't work out I'd lie on the couch, get fat(ter) and read philosophy and history. Less meaningful but still a pretty good life.
This sounds like entitlement, Altman cannot respond to every attack and satisfy people that assumes he’s guilt if he doesn’t reply
As much of a cynic I typically am, there is a well established record of events which shows that this is not true.

Google search was taken over by an ambitious clique of failed yahoo managers that successfully destroyed their former company for their own financial advantage then did the same at google.

Acting as parasites on society at large.
to put a yet finer point on it, Microsoft owns the infrastructure, and can afford to throw vast sums of money at the researchers to get them hired, if needed, assuming the GOOG or other big players don't get at them first.
They really don't. Pretraining on low quality QA is a bad idea so at the very least they're filtering down the data set. Low quality QA is still useful for RLHF/task training though if the question is well answered.
Isn’t the old term “going steady” the equivalent of explicitly exclusively dating someone?

I’m not convinced a decade or so ago this was so different, but let’s say it was. If the norm is different now, then it’s unreasonable to expect dates to behave as if it isn’t. I’m not saying it’s unreasonable to ask for what you want, I just think it’s silly to feel disrespected when someone violates an expectation that’s not been communicated.
I have given my "model" some thoughts and unfortunately arrive at the conclusion that it probably won't change much, for the following reasons:

- Extraordinary scientists and engineers usually don't like management, so eventually management goes into the "managers". The rest is history.

- How can we make sure that ordinary people have a say? In my model I frankly dismiss their right to rule because they cannot compete with the elite scientists.

But again maybe this is still better than what we have today. Imagine the whole society functioning as a huge university. Sure you get corruption and cronyism in universities too, but at least if you mess up something and if you get caught, you will be shunned.
"ChatGPT and other LLMs don’t remember everything you say" in the title is contradicted by the "Reasons to worry anyway", because OpenAI does remember (store) everything I say in non-opted-out chat interface, and there's no guarantee that a future ChatGPT based on the next model won't "remember" it in some way.

The article reads as "no, but actually yes".
Actually, you’re right. With the links it’s clear.
> I think this is well reasoned.

My understanding of the article is: feminism happened, which caused women to become more unpleasant. It's not clear though why shifting social norms - and which specific norms, relevant to this topic? - lead to that becoming. Was author implying that somehow society before served as the unpleasant filter removing bad behavior from men, and feminism relaxed that society's norm, so now women have to deal with it themselves?
This is the equivalent of staring but for ears.
What's a "normal computing task" for you?

I know a lot of poeple that don't own a computer nor feel a need to own one. They just use their phones for everything.
I'm not the person you originally replied to so there's no "again" here. You dismissed a valid & straightforward point because of its presentation, not offering any refutation or alternative and now you're mad because I called you out on it.
well we have had 3 cases worldwide.

Be vigilant and keep safe. Heard that one before.

Just in case a chicken bites you (chickens soon to be given Hannibal Lecter style masks) or a bird swoops down and shits on you (definitely need a tin foil hat for that one).

Headlines:

Following on the heels of the COVID-19 pandemic, large outbreaks of viruses like bird flu raise the specter of another disease jumping from animals into humans.

Causing outbreaks in poultry, wild birds, and some mammals:

"devastation"

"deadliest outbreaks"

"Unprecedented"

"Decimation of species"

"phenomenal levels"

"worst ever outbreaks"

please!!
> Did the US "lose" the war or did they simply stop 'bothering' with it?

I think it all depends on (a) what was our desired outcome, and (b) did it come to pass? If we didn't achieve our desired outcome, then we lost.
The question doesn’t make much sense because “stopped bothering with it” is how rich foreign states meddling in colonized territory usually lose wars. It’s not like Vietnam was gonna invade the US, or like we couldn’t have stuck around indefinitely if we’d really wanted to.

This is just what losing looks like in that situation. Yes, we lost.
I don't think they do, for a few reasons:

1. Evidence keeps adding up that the quality of your training data really matters. That's one of the reason's OpenAI are signing big dollar deals with media companies The Atlantic, Vox etc have really high quality tokens!

2. Can you imagine the firestorm that will erupt the first time a company credibly claims that their private IP leaked to another user via a ChatGPT session that was later used as part of another response?

But as I said in the article... I can't say this with confidence because OpenAI are so opaque about what they actually use that data for! Which is really annoying.
Whenever I exit from a MySQL repl, I type "exit; bye!" instead of just "exit", because MySQL is always so nice and says Bye at the end of the conversation.
> IMHO saying no (ie declining an offer or advance) should not qualify as "unpleasant"

It depends, and situations are quite possible when e.g. it's unpleasant bordering with abuse.
Not sure how much current Copilot varies from the original Codex, but another set of benchmarks here: https://paperswithcode.com/sota/code-generation-on-humaneval
Knowing the training data GH has I doubt it's comparable, then again I don't have the benchmarks
For the people here who know windows and Linux, what are some of the major differences between the two that you like/dislike?

I know nothing about windows internals, but I’m curious
Icyphox/legit: web front end for Git
If you fail all your objectives and then "stop bothering", that is losing the war.

The point of war isn't neccesarily to have your opponent destroyed, just to have them yield to your political objectives. If you give up on all your objectives , and grant your opponent everything they want, that is a loss.
It is a human freedom thing. Having to get continued permission to host a visit-able website from a CA is very un-free. That's why HTTP+HTTPS is so good. The best of both worlds with the downsides of neither.

Passive massive surveillance is by definition not doing active MITM targeting.
What could possible go wrong with this asinine idea.
In office isn't higher bandwidth, but it is more fun! I love going traveling to the office and hanging out with people. Hardly any work gets done, but being around people is really entertaining. Bonds definitely form better - whether that is good or bad for business I haven't been able to figure out yet. However, it is better for my social life.

All I know is that if I see someone WFH I know they are getting more work done than if I see them in office. 80% of top performers WFH the majority of the time or are remote.

Also, being remote and traveling into the office for week-long visits the past 3 years, I can say I almost never see people whiteboarding. I've done it once while in office in a meeting and it wasn't needed at all. People using online diagramming tools during zoom meetings? Definitely.

I really miss the social aspects of being in office, but the benefits to Remote work just outweigh those aspects, sadly.

Ultimately, what happens to RTO really depends on the market. If the job market heats back up again, RTO will largely go away. If the job market tightens, then it will dominate. That's because the vast majority of executives and owners want to be in office around their domain. What's the fun of being a billionaire and having to be on zoom all the time?
Except he provided an inaccurate translation so it seems to me that the concept is not so well understood...

IMHO it is indeed untranslatable in the sense that there is no single word in English with the same meaning so that a translation requires a description (illustrated by my quote from Wikipedia that spends a whole paragraph explaining what it means).
One of my fave Quine talks https://m.youtube.com/watch?v=IgF75PjxHHA

And he made a Quine for the conf https://m.youtube.com/watch?v=4DfhAK8xVWI
> The U.S. yet yet to pass even a basic internet-era privacy law

Nitpick, but even the first sentence in the article is nonsense. Doesn’t anyone proofread anymore? Let alone read even the first sentence before publishing?
Would you settle for as "horrible" as new open source TTS systems? :D

My current go to is Piper TTS: https://github.com/rhasspy/piper

It's MIT-licensed, supports ~30 languages and multiple voices[0]/quality/licenses.

Voice output samples: https://rhasspy.github.io/piper-samples/

Discovered just now that recently there's also been some efforts to train Public Domain/CC-BY licensed voices specifically for Piper TTS too: https://brycebeattie.com/files/tts/

---- footnotes ----

[0] e.g. One of the English voice sets has ~900 voices(!).
Comments extolling the virtues of LISP or the CLR in a Go thread are "not negative about Go"; they're simply off-topic.

An on-topic, comment critical of Go would be: it's silly that cgo is considered so bad (why?) that people go to such great lengths to avoid it, when so many (otherwise great) Wasm runtimes already exist.

But if I'm already using Go and need a Wasm runtime, my options are wazero or wasmtime-go (etc), not LISP and C#.
> Everything you say is pure rhetoric, meant to gatekeep who gets to "justify" their struggles with mental illness, which is what this whole debate is always about.

Exactly - and there's no winning this argument at all with people like this. Say this hypothetical person (causing harm to who?) finally gets a real diagnosis from a real professional - people like this will often dismiss the diagnosis out of hand, with vague comments about how the DSM isn't "science" or that the doctor was incompetent, etc. I cannot help but feel that the root sentiment behind this stuff is a deep loathing for people struggling with mental illness - or at the very least a profound lack of empathy. I have never really understood it.
Show HN: Paramount – OSS package for *Human* Evals of AI support
Hey HN, Hakim here from Fini (YC S22). We focus on providing support bots for Enterprises that have a high volume of support requests. Today, one of the largest use cases of LLMs is specifically for the purpose of automating support. As the space has evolved over the past year, there has subsequently been a need for evaluations of LLM outputs - and a sea of LLM Evals packages have been released. "LLM evals" refer to the evaluation of large language models, assessing how well these AI systems understand and generate human-like text. These packages have relied on "automatic evals," where algorithms (usually another LLM) automatically test and score AI responses without human intervention.

In our day to day work, we have found that Automatic Evals are not enough to get the required 95% accuracy for our Enterprise customers. Automatic Evals are efficient, but still often miss nuances that only human expertise can catch. Automatic Evals can never replace the feedback of a trained human who is deeply knowledgeable on an organization's latest product releases, knowledgebase, policies and support issues. The key to solve this is to stop ignoring the business side of the problem, and start involving knowledgeable experts in the evaluation process.

That is why we are releasing Paramount - an Open Source package which involves human feedback directly into the evaluation process. By simplifying the step of gathering feedback, ML Engineers can pinpoint and fix accuracy issues (prompts, knowledgebase issues) much faster. Paramount provides a framework for recording LLM function outputs (ground truth data) and facilitates agent evaluations through a simple UI, reducing the time to identify and correct errors.

Developers can integrate Paramount with a python decorator that logs LLM interactions into a database, followed by a straightforward UI for expert review. This process aids the debugging and validation phase of launching accurate support bots.
Sorry, to clarify: I think the author's use is suspect, and I assumed you were using it to mean the same thing.

"Fair play" means playing by the accepted rules. But it seems to me that the rules themselves are changing (arguably justifiably so).
It's not like SpaceX has protected itself with a patent moat. This is a "them" problem, not a "him" problem.
> Do you think this is like an episode of a TV show?

Increasingly, yes. I’m starting to think that @sama is really Samaritan: https://personofinterest.fandom.com/wiki/Samaritan
Healthier diet could add decade to your life
I feel like that is what these will do for me, if they work as promised. When I sing in choir(etc), I can't wear regular earplugs, because my own voice triggers my tinnitus.
On the contrary, I am currently scaffolding out the template projects for a new system at $DAYJOB and I'm seriously considering putting it in the CLI tool template.

On the one hand, these tools are going to be used for Serious Business™ but on the other hand... I owe it to 14 year old me. I'll probably add something to allow disabling it with a flag file that can be created with the tool or manually. ¯\_(ツ)_/¯
At least that way you know it's not written by an LLM...
Maybe I should have put the word "instantly" in there:

Training is not the same as chatting: ChatGPT and other LLMs don’t instantly remember everything you say
Identifying Container Image Vulnerabilities with Docker Scout
Can't they just ask the NSA for their backdoors? What are allies for, after all?
Thanks for the tip. I'm thinking maybe I should at least register for a few pre-requisite courses and see what happens. I did have a Math Master degree but I forgot pretty much everything except SV Calculus and basic Matrix computation. Or I could just use Coursera to advance my learning -- for hell, the topics I'm interested in, e.g. General Relativity, do not need experiments so I might not even need a degree.

Regarding the last paragraph -- yeah I recalled that my first programming adventure was Foxbasing in the mid 90s. I definitely forgot all of those!

Good luck to you too.
Nvidia appears to be scraping web content
> Doesn’t anyone proofread anymore?

If the headline got you to click than the article has completed it's job. The other 500 words are just to make you not feel scammed.
I understand where you are coming from, but I kind of see where the misconception comes from too.

Over the last year and a half, "training" has come to mean everything from pretraining an LLM from scratch, instruction tuning, finetuning, RLHF, and even creating a RAG pipeline that can augment a response. Many startups and Youtube videos use the word loosely to mean anything which augments the response of an LLM. To be fair, in context of AI, training and learning are elegant words which sort of convey what the product would do.

In case of RAG pipeline, both for memory features or for augmenting answers, I think the concern is genuine. There would be someone looking at the data (in bulk) and chats to improve the intermediary product and (as a next step) use that to tweak the product or the underlying foundational model in some way.

Given the way every foundational model company launched their own Chatbot service (mistral, Anthropic, Google) after ChatGPT, there seems to be some consensus that the real world conversation data is what can improve the models further. For the users who used these services (and not APIs), there might be a concerning scenario. These companies would look at queries a model failed to answer, and there is a subset which would be corporate employees asking questions on proprietary data (with context in prompt) for which ChatGPT is giving a bad answer because it's not part of the training data.
I realized that, and so tried to say "boot" for one of the term senses, but missed an occurrence, which might've made it even more confusing.
Great! Maybe this will cause a decrease in the total number of people getting harassed by jerks on the internet.
The other counterintuitive thing was that the featured patient is 59 years old-- seemed a bit too old for therapy with your own stem cells but I guess the team was going all in on the shock value

https://www.nature.com/articles/s41421-024-00662-3
Even in wars between peer-level nations, it doesn't end with total destruction.

Did Germany lose world war 1 or did they just decide to stop bothering with it? I think the answer is clearly the former, but in the end they still kept an independent state, weren't occupied, etc.
I'm loving new-relic but I always found new relic deployments hard to track, especially as I'm not using GitHub actions for my deployment pipeline.

To make my life a lot easier I prepared a custom Laravel command which send to New Relic the new deployment information. The beauty of this command comes from the ability to run it whenever I deploy my code, as it only requires the ability of running a '''php artisan app:deploy-mark''' and the availability of git to retrieve the version (eventually we could change it with the something almost unique as the current date-time)
I do not disagree with the content of your post or Toyota's strategy. Just wanted to mention that charging at home is surprisingly feasible but not necessarily required.
The US dominance in EV is about to be eaten up by the Chinese, and Musk is in the process of making the company implode, e.g. the cybertruck failure.

The US was already a leader in aerospace, by a lot.

He called someone a pedo who didn't deserve it on Twitter, and then bought and managed to tank said platform, to the point where it is the go-to for nazis and propagandists.
> Kagi takes Google's results and then makes them worse

And this is how I know you haven't used Kagi at all.
Won't those people have the same experience? The app won't work until they configure it securely
Arcade machines up for auction after business folds
> Real estate is not cash. It's cash spent.

No, it's an asset only barely less liquid than cash, generally deliberately shelved in a holding company for the exact purpose of hoarding wealth. You have fallen for the bullshit.

> History also shows us that societies without wealth disparity end up poorly for everyone. As in starving.

You left out "unbounded." Deliberate misinterpretation or failure to comprehend? We'll never know. Wealth disparity will always exist. Unbounded wealth disparity is a symptom of a corruptable system.

> Excellent. Go ahead and build one, compete and put Scrooge McDuck out of business.

I already have built one, and I'm quite comfortable, thanks. Putting competitors out of business isn't part of the game plan for sustainable success. Unbounded growth doesn't benefit me past meeting my financial goals. You've once again missed the entire point of my post.
I just noticed that apks built with Kotlin are a bit bigger than ones written in Java. Could be my own lack of knowledge, so I would be interested to read up on how to optimize Kotlin apks in size.
No dictator is using Coinbase. Often they get their digital currencies directly, through other illicit activities. e.g. theft, scams, malware, etc.
cgo is extremely slow, particularly in programs with many active goroutines.

I regularly look sad at profiles of production cgo programs where findRunnable is in the top 10.