skysight-inc/HackerNews huggingface dataset:
> You’re right that psychiatry and medication is a lot of trial and error, but that’s the most efficient and accurate way to determine which medications work with a patient.

> Note they practitioners aren’t just guessing and hoping for the best.

Soooo, which is it? You can't have it both ways, either trial and error or "educated guess".
Pro football/basketball are more about raw athleticism than technical ability. The guy who is super technically gifted and who has been training his entire life but not super athletic will either get bent in half by much larger, stronger players and have to retire due to injuries, or just be shut down by a genetic freak who took up the sport in high school
I'm sorry, but Google has already dealt with this issue, and they can deal with it again. Quota is a thing there, and they already have process for billing and managing access to Google resources by entities which are quasi-internal because during the "Alphabet" transition many things that were formerly internal -- such as the e.g. "Access & Energy PA", which became "Access", mostly Fiber ... which I happened to work at the time -- became quasi-external, and they started having to pay Google-proper for Borg usage, etc.

It's not impossible at all for Google to set up process, billing, and data access boundaries. They just naturally have an interest in avoiding this completely. Which is exactly the point -- right now their ads products in particular have way too much insight into both the buy and sell side of the equation, and Google has gone out of its way to dominate the entire ad supply chain using this knowledge.

Forcing an infrastructure separation and an organizational separation for the ads businesses there would do a lot of good for the market as a whole.

And not sure we should care too much about how Google does out of it. They're swimming in ad revenues.
it's not just google. it's the web.

all of the web's useful information--decades of discussion--is stored in reddit's garage. and they've decided to close the door.
Fundamentally, it's that women typically want a partner that's above them--but with society being basically equal now there is a dearth of such men. It's going to take a while to adjust to having to settle for someone who is simply your equal.
Ah nice! That’s good to hear. I have no doubt that the things I listed will get implemented eventually. Altium should indeed be scared.
I agree with your reasoning, but it's not "literally", it's main memory minus (sizeof(struct Entry) - 1). But it's impossible to find a C string that big. Any point in memory is pretty clearly going to hit a 0 or a page fault before then.
> LLVM and Clang are also about having a compiler stack that provides the information you need for a modern graphical IDE.

Is that why all GNU utilities shipped with OSX were also stuck at the GPLv2 versions and never upgraded?
I think not working on a laptop will give far greater ergonomic gains than any amount of keyboard remapping.
I don't agree. A conman's mark may be foolish, but it is not their fault they were conned and they don't deserve to be punished. The conman does.
Looking at this table from 2019: https://ucr.fbi.gov/crime-in-the-u.s/2019/crime-in-the-u.s.-...

SF has much more property crime than Los Angeles, but lower violent crime than Los Angeles (and most other big cities).
Deliberate practice is practice + an evaluation feedback loop. If you aren't analyzing how you are doing and using that to feed back into your practice you are just practicing. The use of a coach\teacher\oracle as the evaluator is important because of the DK effect, higher skill people generally are better at evaluating a performance making the feedback loop better.

So in general: practice activity, evaluate performance, come up with drill to improve weaknesses identified during evaluation, do drill, repeat.
>that HMDs will not replace PCs/laptops — is the wrong way to think about their value.

that was how apple justified the cost of the device, so I think its a fair critique.
> With all agile sprints and shit, real feedback for one's actions still comes very very late in the life of a project.

This is one of the things I dislike about agile methodologies. A big part of why I choose the jobs that I do is because I'll learn something new in them that I want to learn.

Agile methodologies don't leave much room for that sort of analysis and learning. They are very focused on production, and only production.
I've been referring to it for years as the corporate web but unfortunately I think these are the same things.
we really need to stop talking about these situations with legitimate terminology. They aren't "VCs" or "Investors". They're marks, and they got scammed.

"you can't cheat an honest man" definitely applies.
>most weights in a LLM are significantly overdetermined. Once you have ingested several terabytes of natural language, you know how to generate natural language.

more than anything, AI/ML/DL enables people to make claims that cannot be refuted by any application of the scientific method. it's literally "not even wrong" in exactly the same way as people claim string theory is.
> An engineer

More like a dozen of engineers over a couple of weeks. Make sure popular LLMs can run on their hardware, as well as Stable Diffusion and other popular projects, and then they will see consumers flock to their hardware.

With consumers I mean something like what "gamers" used to be during all these past decades (and still are), those who won't be using it for business cases (what Quadro used to be) but for their hobby; this, but oriented towards AI, which currently is limited to LLM, image generation and ASR.

If they focus on this, the community will start helping, maybe even cleaning up their mess of repositories they have on GitHub.

There are two benefits over Nvidia: They have more VRAM and they have an open source software stack.

They just need to get the basics working for all those hobbyists, those who want to run little projects on their home hardware.
Just to mention: there was this article (in French but you may use google translate) about fire hazards in disposals related to used lithium batteries...

https://www.lesechos.fr/industrie-services/energie-environne...
> In almost 20 years I've learned that, at least to me, the most challenging group to manage are mid-level developers.

mid-level develeopers promoted to architects/managers because the startup grows fast, in a startup that mostly hires juniors, and then sitting there without ever updating their knowledge
Where did you find pricing? I found the notification about the changes to email a little suspect, it's basically just thrown in as a comment in the middle of the email I got. No info on the product seems to be available, no pricing, no nothing, just it will be available in a month.

I'd really hate to move domains and email again, I just moved everything a year ago.
Maybe a little off-topic here, but if they use Twitter and Reddit as datasets to train their LLMs, how can they guarantee that the AI models will be unbiased. Prejudice, hatred, and ill intentions can all be very delicate to identify.
I don't know who invented this nonsense distinction. First time I was introduced to this idea of "concurrent programming" being a separate thing when Go was released. So, I associate this nonsense with Go, but it could have happened earlier, I simply never heard about it before then.

Anyways. The way I see it used today, it's applied to language runtimes incapable or severely crippled when it comes to parallel / concurrent execution. Eg. Python, JavaScript etc. In such environments programmers are offered a mechanism that has many downsides of parallel / concurrent programming (eg. unpredictable order of execution) without the benefits of parallel / concurrent programming (ie. nothing actually happens at the same time, or only sleep is possible at the same time etc.)

I feel like this distinction, while a nonsense idea at its core, became so popular due to the popularity of language runtimes with disabilities and their users needing to validate their worth by adding features to their languages their runtimes are inherently incapable of implementing.

Similar situation happened with ML-style types. Python, for example, works very poorly with this add-on, but the desire to match features of other languages led Python developers to add those types anyways. Similarly, TypeScript and a bunch of similar languages, especially in Web.
It occurred to me there is an easy way to pressure the government to stop doing this:

Make it a huge PITA to keep this kind of data in the first place.

If everyone nationally submits a FOIA record to every agency which might be keeping data on them, it quickly will become un-economical to keep data on anyone but persons of interest.

https://www.foia.gov/how-to.html
You know what they say about the first 90% taking up 90% of the development time and the last 10% taking up 90% of the development time. That is likely what we are seeing with current AI efforts. They get amazingly close yet aren't good enough to be relied upon.
Kenya's tea pickers are destroying the machines replacing them
Love doing something so much that noticing what you are bad at and putting attention into picking up your performance in that area comes naturally (inspired practice is more effective than 'deliberate'). Along with the intelligence to solve those issues effectively and the wisdom to ignore what's not so important. Rinse and repeat for x units of attention.

Source/flex: that's what got me into the top .01% of multiple pursuits, or into a decent percentile with not that much time invested.
I've done all of that except the butchery part (because that wouldn't make sense). She is homeschooled, and working with me on software projects is part of her homeschooling. Sometimes if the project is fun it could take all evening (like when we make videos demoing stuff for documentation).

As a kid, I went into dirty crawlspaces, helped my dad weld, and went on roofs, which for a little boy was pretty much the coolest thing imaginable. Whenever we were with a client who had a pool, my dad would ask the client if I could jump in, and they always said yes. I learned so much about technology from working on air conditioners. The process of troubleshooting, how machines work, and tons about sales and how to work with customers. My dad was also aggressive about SEO once that became a thing, but even before then, he did all kinds of marketing stuff himself.

I'm a freelancer today and wouldn't be able to if I hadn't been "forced to skip school for long evenings in the butchery", to put it into a phraseology that more matches your own. I think people have an idea of kids working based on school textbooks, which is sometimes (but not usually) accurate. When school textbooks teach the history of laws, it's always in this naive, doe-eyed kind of way.

Right now I'm in Guatemala, and child labor is everywhere, and to be honest, none of it seems as dreary as school does. Imagine as a kid being forced to do an office job where you sit down and do nothing for 6 hours, surrounded by friends who you cannot speak to, skipping play hours so you can study textbooks that teach a completely made up version of your country's history.
You can't shoot the dumb and energetic in modern society, but assigning them to futile cycle tasks is an alternative solution. You don't want them involved anywhere they could do any real damage, but they're on your roster, and they need something to do. Have them continually move goods between several different warehouses, for example. Or, gather a group of them together and put them on an advisory committee that meets daily in a remote building, and task them with preparation of a 1,000 page report, which later goes into the recycler.

People can get smarter, too. If they recognize they're involved in a futile cycle, then that could mean they're ready to move on to doing something more useful.
Seems like category error to me. the purpose of perception is to replicate faster, spread farther, alter gene frequencies, etc. nervous systems evolved in multicellular animals from their cell to cell signalling systems.

i think its error to imagine there is a "bottom" that grounds consciousness. its just an emergent phenomenon only describable from the inside. saying consciousness requires needs is like saying "motherhood" is grounded in "love."

its just infinite regress. consciousness is a behavior, selected for over 100Myears because having an world model is a better way of spreading than performing a random walk for some creatures. diatoms seem to be doing just fine without it.
Yeah, and so far, they've failed. So that's not really encouraging.
In terms of who the winners were, sure. There were many also-rans like Viber or companies that won only in certain markets like Line or Telegram.

But the idea that the network effects couldn't be overcome was definitely false. Not only are MSN, AIM and YIM so dead their servers are shut down, but the services which displaced them (Facebook Messenger and Skype) have themselves been displaced by a third wave of services (WhatsApp, iMessage, Discord, Slack)
> Now, hear me out.

This turn of phrase almost always is followed by an argument you don't have to bother reading because it is wrong.
IMO, those things you listed where deliberate practice doesn't work aren't technical, nor really "skills" so much as acquired "wisdom"
- No they, though you can use any language you want in the editor.
- Self-hosting is currently limited but, in any case, MongoDB and Redis is necessary.
- A sync integration with providers like GitHub or GitLab is in the pipeline, but currently you might be able to work something out with Webhooks and Content Transformers, depending on your use-case.
- Docs are fairly fresh. Agolia recommends that you have some content ready before you integrate it for the first time and I'm looking to add some more details in there, like API docs in upcoming days. When that's done, I'll add search.
They're investing in the team, which I think is smarter than investing in an idea. Those people built llama at meta and flamingo/chinchilla at deepmind.
> I've got certain frequently used commands / passwords / passphrases programmed in those buttons (color coded: green for gpg passphrase, blue for ssh, red for login, etc)

Isn't that rather unwise? Your keyboard has become your key to everything.

A password manager and/or USB security key and/or smartphone key vault are much better places to store secrets.
I asked Bing's GPT4 to summarize the abstract and then to summarize the summary for 11 times. I was starting a new chat after each summary. I was adding "Summarize the following text:" before each summary. I had to use the Creative mode else Bing was searching instead of summarizing.

1st summary:
The text discusses the impact of large language models (LLMs) on online text and image generation. It argues that LLMs can cause model collapse, a phenomenon where the original diversity of data is lost due to feedback loops between models and data sources. It shows that model collapse can affect various types of generative models and warns that it poses a threat to the quality and reliability of online content. It suggests that data from real human interactions will become more valuable to prevent model collapse.

2nd:
The text warns that large language models (LLMs) can cause online content to lose its original diversity and become less trustworthy. It explains that LLMs can create feedback loops that reduce the variety of data they learn from. It suggests that real human data will be more important to avoid this problem.

3rd:
The text argues that LLMs can make online content more homogeneous and unreliable by creating feedback loops that limit their data sources. It recommends using real human data to prevent this issue.

4th:
The text warns that LLMs can produce biased and repetitive online content by relying on narrow data sets. It suggests using diverse and authentic human data to avoid this problem.

5th:
The text advises using varied and real human data to prevent LLMs from creating online content that is unfair and redundant due to limited data sources.

6th:
The text suggests using diverse and authentic data to avoid biased and repetitive online content by LLMs.

7th:
The text argues that LLMs need better data to produce more varied and realistic online content.

8th:
The text claims that language and literature models (LLMs) require more diverse and accurate data to generate online content that reflects the real world.

9th:
The text argues that LLMs need better data to create realistic online content.

10th, Bing started to hallucinate, I double-checked that it didn't search and the chat was new:
The text claims that online content creators who use language models (LLMs) should have access to more reliable and diverse data sources to produce realistic and accurate content. It warns that LLMs can generate misleading or harmful content if they are trained on biased or low-quality data. It also suggests some ways to improve the data quality and availability for LLMs, such as using data verification tools, crowdsourcing data collection, and collaborating with other content creators.

11th:
The text argues that online content creators need better and more diverse data sources to use language models (LLMs) effectively. It cautions that LLMs can produce harmful or inaccurate content if they rely on flawed data. It also recommends some methods to enhance the data quality and access for LLMs, such as verifying data, crowdsourcing data, and cooperating with other creators.
If you still have access to cellular internet, it's no good, in my experience. There needs to be no internet.
Well, that was self inflicted...
They have an amazing track record for this as well. I buy m2 processors because I know they're great. I don't even bother trying to figure out a comparison to Intel chips any more. I've done semiconductor research and used to obsess about stuff like this.
(author) It worked great. You deserve it! Thanks for making it.
It's also lack of time. Because you start a small task (put clothes away) and realize there are more steps (clear out the drawers so the clean clothes fit), then more (sort clothes into summer and winter so you can store), then more (take the old clothes for recycling), and it just becomes too much work for the small task you started with!
Yes. Really.

And I guess I can't really blame them. Their mental modal is: I need to run `sudo X`. Because, well, that's what the runbook-they-got-from-their-previous-job, Google, or ChatGPT says.

The response they get does not get them any nearer to being able to run `sudo X`. So, they get angry, and push back. Unless you can get someone to sit down, reflect, and think about what they really want to achieve, this is a situation that is very hard to resolve.

So, that's one more reason I love `doas`: it leads to, eh, valuable conversations.
Exactly this. I didn’t know they were acquired, it seems they’re acting quickly. Any recommendations on how to migrate e-mail address + IMAP boxes?
I had a thought(maybe naive). There is this idea(not new or mine) that, API based access aside, LLMs are increasingly able to embed (semi)structured details(like code or Dom based UI navigation) needed for planning(in the ai sense). Then what even is a moat?

And then one fine day; some random guy has a local/private LLM trained to browse his facebook groups as him, his account gets deactivated meta; he sues arguing in court about right of using his own tool to mine personal data.
There is so much other media to consume, I don't ever have the desire to reread any of my books.

So the thing I unlock when I finish a book is a gift for someone else.
I think the biggest problem with employing moderators isn't the cost, but that it now makes reddit liable for the moderation failures.
Methane is oxidized to CO2 in the atmosphere with a half-life of about 10 years, and if you're making it from atmospheric CO2 at high cost, you have strong incentives to use leakless-infrastructure to transport it - and hydrogen is more likely to have leak issues than methane, and it has a GWP issue as well:

https://acp.copernicus.org/articles/22/9349/2022/

> "It is, however, very likely that hydrogen is emitted throughout the value chain, but it is unclear – given lack of data – which components contribute most and least to emissions."
There is definitely a gap for a product like this. At Ritza (a tech writing agency) we use a hacked together set of tools to accomplish this so I definitely see the need and am probably part of the target audience.

Some feedback (based on a quick skim - you've probably thought about all these more than I have but just in case anything is useful)

- Why include project management? It's hard to beat a tool like Linear, Trello, Jira or whatever people are already using.

- I like the idea of a built-in markdown editor, but I think it's also important to allow technical people to bring their own editor or use git directly. Do you support this? If yes, I'd call it out on the landing page. Gitbook used to do this pretty well but they pivoted to a more GUI-focus and now there are weird bugs if you try to use both their editor and git directly

- I agree with other comments that images are something to get right for something like this. Let people paste from clipboard, upload a file from their machine, or link to an already hosted file. Allow the user to the optimization similar to TinyPNG automatically (maybe also CDN, or at least allow integration with CDN). Assuming you're dogfooding this for your own docs, images are loading very slowly so I assume you're not doing this atm.

Good luck!
ps -- I had some issues with the pressure seal; pulling the (presumably silicone?) seal out and reseating it in the lid periodically seems to make everything work better. Also, you shouldn't feel any resistance when you rotate the lid into sealed position. If you do, pull the lid back off; juggle the seal a bit; then reseat and twist to seal again.
I think the real key to top performance is to learn to get over the aches of practicing and training yourself to get engrossed in a range of subjects. Piano is good practice but I usually recommend something more dopamine efficient.
That's different from a donation, and frankly, I never needed professional support so far since KiCad's community is so great.
Privacy concerns led to browsers caching per-user and per-site, so there is even less advantage to "shared CDNs" in 2023's browsers.

That said, tree-shaking can sometimes be a premature optimization if your site isn't a SPA with a comprehensive view of its tree to shake. Some MPA designs may still benefit from caching the whole ESM .min.js of a site-wide dependency and letting the browser tree-shake at runtime.
That’s half of it, the other half is each of those events is extremely simple so the amount of computation is viable with a single thread.

If individual threads were dramatically slower the architecture would get unpleasant by necessity. Consider the abomination that is out of order execution on a modern CPU.
It's going to mess up your hair, your makeup, add weight on your face, and collect face oil like a sponge. Take the keys off your keyboard and roll your face around in that.
> "how can they guarantee that the AI models will be unbiased"

I don't think anyone is making any credible guarantee that any AI model is unbiased.
This page is a delight to read.
> we know already means it will not be a viable monitor replacement for extended use.

This opinion is deeply subjective. I have a Varjo Aero, and I can use it as a daily driver (for productivity), no problem. The Vison pro looks to be lighter... and so would have better ergonomics.

Notice, I don't even mention eye strain... because I personally don't experience any.
they wanted £23 pounds for my .com domain which is ridiculous (plus extras I just moved to Namecheap for like 8 pounds which is 3 times less.
Yes.

My point isn’t really to comment on the specific developments in AI itself, but to assert that McKinsey has no special insight on the topic.