skysight-inc/HackerNews huggingface dataset:
I think #2 and #3 are definitely factors.

As for #1, I think basic art education may be streamlined, but art education in general not necessarily as developed as it was in the past. Sfumato, for example, is a technique that would be difficult to learn in an art school due to how long it takes oil to dry, but straightforward in a master apprentice relationship. Bernini grew up as the son of a marble sculptor when and where that was considered the highest form of art, so it's unlikely that anyone born today could be raised breathing marble dust like how he was.

I think that photography and digital technology killed the importance of technique more than anything else. Even with realist painting, having photographic references allows you to "cheat" your way into good enough results with unrefined skills to the extent that only painting nerds care about the difference, it makes more sense to focus on other things, which like you said are more difficult to evaluate.
I've been at this point at least 4 times, each time I couldn't find anything else to pursue long-term that seemed all that compelling when I looked at even the cursory details/financial prospects/day-to-day. It's still on the table for the next time, and I'm keeping an open mind about it, but it would take full commitment.

The silver lining in being laid-off or fired numerous times, for spans of a year or more, is that I've been forced into re-thinking things and my relationship with coding and work. I don't think I'd be able to re-enter a coding job otherwise, it just gets miserable at a certain point, it's isolating, bad for your body, stressful at times; I do think this comes with anything you pursue for long-enough while trying to push yourself in some direction or another, unless you just get extremely lucky and it becomes entirely optional.

In those times, I've worked in random jobs (cafe, etc..) when they've come up, where I've had a different physical and organizational relationship with peers, solving different problems, using my body and communication skills differently, on different schedules, and I think that's absolutely crucial. A LOT of the time it's not as easy as you'd think; if you don't get rejected out of hand for a myriad of reasons, many jobs aren't as easy or as miserable as one would think from the outside. Volunteer work may also be incredibly rewarding. This is my recommendation to you, especially if you have some savings to fall back on for an extended period of time. It'll give you the space to consider things differently and get out of the headspace of being mired in code. Take up a challenging hobby and not-so challenging one, just to do anything else buy coding. Try to learn design or something in the visual arts to a serious level. Have an adventure.

Ultimately, I had the same thoughts as you earlier on in what can only vaguely be called a career, that coding is somehow intrinsically important and I should love it and it'll change the world or whatever crap, but later after numerous burnouts, I realized that coding is just whatever, it's text, it makes computers do things, who cares it's not that important. But it can still be compelling in various ways, and that's fine too, let the relationship be an organic one, and let it fight for your attention once you've put your attention elsewhere.
In general, if there aren't Image Capture drivers, then older, largely 32-bit scan software won't work on Catalina or newer. It's kind of a gamble, and you sometimes have to manually run the device file from the image capture directory to get it to properly load the driver.

I remember the only challenge getting my TMA flatbed scanner working with Ubuntu Studio in 2010 was downloading an extra xsane package.
The law would obviously need to address such scenarios. One idea could be to also make everything public domain, for all mediums, when the author dies or a certain period has passed (like 70-80 years).
I only know because a friend was a delivery driver and complained - it’s so easy to overlook. Completely agree, no one should have to worry about whether working full time is enough to exist on.
shameless plug

If anyone is looking for IoC + async dependency injection in react components I've made a tiny lib that does wonders for me in a an `iti+mobx` combo

https://itijs.org/docs/with-react/react-full#async-request-f...
https://stackblitz.com/edit/github-3g8pzp?file=src%2FApp.tsx
Maybe they just give themselves the dog vaccine, adjusted for their body weight?
> LibreSpeed-go package

Thanks for the tip. LibreSpeed-go works slick-enough to actually be useful for the kinds of things I care about at home.

And because it is apparently not cohesively documented anywhere, here's brief instructions for a semi-clued person to quickly make LibreSpeed-go work on OpenWRT:

1. Install the package. Might as well do it from CLI because we need to go there anyway. Log into the router with ssh, and do an "opkg update" and then "opkg install librespeed-go"

2. Enable it. Edit /etc/config/librespeed-go with, eg, "nano /etc/config/librespeed-go" and set "Enabled" from 0 to 1.

3. Start it. "/etc/init.d/librespeed-go restart" works.

4. Use it. Fire up a web browser somewhere on the LAN, and visit http://your.router.addy:8989

5. Clicky button. Observe speed.
Geoengineering Could Alter Global Climate. Should It?
Exactly. Although I would go with starfx instead
Producing circuit boards from leaves would prevent millions of tons of e-waste
The tragedy of a declining impact from operations research continues to annoy me and I mention it whenever I think contextually, it makes sense. Usually when people trivialise complex decision points across non related competing pressures and goals but talk as if some (false) dichotomous choice exist.

I didn't do O/R but family members did at Royal Holloway and some friends I met online, from Cardiff. I have used some of the online decision support tools as a rank amateur. It feels like a specialisation joining stats over computer science and information management, with links to process design, process control, systems description and structural understanding of complex systems and processes.

The intersection of O/R, computing and socialism (state planning) is fascinating. I don't personally see Beer as a tragic figure. He made conscious choices. Allende and all of Chile suffered the consequences of violent opposition to the planning.
I'm working on a rather naive approach that is focused on identifying errors in a LLM response by using LLMs. What I can share right now are screenshots with regards to how it works. The basic idea is you can use other high-quality models to validate and compare against to find irregularities or errors. You can see what it looks like below:

https://app.gitsense.com/--/images/options.png

https://app.gitsense.com/--/images/validate.png

https://app.gitsense.com/--/images/models.png

The basic idea behind my chat system is, every model can be wrong, but it is unlikely that all will be wrong at the same time. This chat system is based on what I've learned when building my spelling and grammar checker. If you look at the following links, you can see that even the best models can get it wrong, but it is unlikely that others will get it wrong at the same time.

https://app.gitsense.com/?doc=6c9bada92&model=GPT-4o&samples...

https://app.gitsense.com/?doc=905f4a9af74c25f&model=Claude+3...
Looks nice! I like the approach.

My holy grail will still be landing on a good multi-layer configuration setup for Rust CLIs. Ideally CLI flags merged over top of environment variables merged over top of configuration files.

Twelf [0] was close in unifying things, but I had some friction. Lately I've been using Schematic [1] to handle the environment + config layers, and then just a manual implementation of Clap arguments layered on top.

[0] https://github.com/bnjjj/twelf.

[1] https://github.com/moonrepo/schematic
This kind of stuff has a lot of value and is very interesting, but I'm not sure people who are into it understand the mindset of the rest of us.

Features are getting added, subjectively software as a whole is getting more reliable every year, and it's getting faster too, if you don't count new features with inherently high compute requirements, like AI. The state of software seems pretty nice right now.

It's getting harder to understand overall, but the individual layers that a dev works on are still manageable, we just have more division of labor and tolerance for using things without knowing what's under the hood.

It's less friendly to hackers and tinkerers, but still perfectly accessible to beginners doing things in the modern style, aside from the fact that there's less motivation when there's already an app for anything you can build yourself without months of work.
I’ll pick up a B580 to see how it works with Jellyfin transcoding, OBS streaming using AV1, and, with some luck, Davinci Resolve. Maybe a little Blender?

Other exciting tests will include things like fan control, since that’s still an issue with Arc GPUs.

Should make for a fun blog post.
It's a good idea because otherwise China will bomb your foundry or steal your designs. Besides, you don't ever get skilled workers if you don't try to develop them.

> Didn't TSMC also struggle to hire enough skilled workers in Arizona?

That was mostly marketing so they could ask for more tax credits. In practice it seems to be going okay.
I don't know if it's just me (checked in Firefox and Chrome), but the black text on the red buttons is really hard to read. I'd suggest using white, unless you had some reason to use black.
It's a ridiculous combination of needing to go to the ER but something that can be scheduled (especially beyond the initial shot).
Tangentially related clojure dialect compiling via C++ & LLVM: https://jank-lang.org/

jank has a progress page to give you an idea how much is implemented so far: https://jank-lang.org/progress/
> Every time you go to sleep your consciousness shuts down. So, each morning is a copy of you wakes up

I think it doesn't "shut down", maybe fades away to a different, low-power mode. When you go to sleep and then wake up, here is still a continuity, because of the same underlying structures and processes from which the consciousness emerges. So it is like a 4D thing.

That continuity never really breaks (until death? which is like singularity) and I think this is what makes you "you". You can't copy/teleport it (kinda by definition), but you can extend/transform it.

Perhaps a "Ship of Theseus"-style approach would work — gradually replacing neurons one by one, or brain sections piece by piece. Alternatively, the brain could be extended with peripheral "devices" connected to it with bandwidth comparable to the interconnections within the brain itself, up to the point until the biological part becomes irrelevant. This is similar to how a portion of the living brain can be removed while still preserving consciousness — as neurosurgeons often demonstrate.
> Older, vulnerable people told me that voting for Trump this year was a way to avoid another Jan 6.

Unfortunately it's not easy to have an honest conversation with someone who opposes Trump about Jan 6, precisely because of the cases where people's family ratted them out, ongoing imprisonment without trial, etc.

> Your mother in law is brave to say that.

She thinks she's going to prison for voting against Trump, so I definitely agree with you there.

> Tucker Carlson is a coward for claiming, despite the video, that Jan 6 was unarmed.

I guess it depends on what you mean by armed. If people were planning on actually wresting control of the government then they would have brought their firearms. None of the protestors had firearms. Some had improvised weapons, like bats, so yeah that's my bad for not being clear. A select few were armed with bats. It's more about intent, right? If you're going to overthrow the government you're obviously not going to leave your real weapons at home and instead just bring baseball bats.

Also, events like Jan 6 are massive, complex and chaotic--and what is happening in one area can be totally unlike what is happening in a different area. Especially if there are organized groups trying to take advantage of the dissatisfaction in the crowd. Anyone showing videos and trying to characterize the event a single way is oversimplifying to fit their agenda.
It happens all the time in consulting. You ask the user what product they want. Or you propose something in a power point and it gets commented on.
Also 78 first try. Small optimizations could probably be made but not much beyond that..
> Or else why even release the code publicly?

So folks who would rather not have to write the functionality themselves can use it (like myself). Nobody is forcing you to use any of this.
Oh wow, I’ve always thought this would be a good way to do it but I’ve never bothered to actually look up the key of the songs I can “hear” in my head. If the “Hello” of Comfortably Numb is an F#, that’s all I need :)
Look at the RTX 3090 and RTX A6000 (the non-Ada one). They both have 24 memory chips with a 384-bit memory bus, but one has 24GB of VRAM and the other has 48GB of VRAM. They both have two chips per channel. This breaks the 24GB VRAM limit that you claim to exist.
This entire thread just has me wanting to watch The Prestige one more time.
find to supported region, request model access, wait for model access, create policy, create user, attach policy... it's not comparable
I run a 12GB model on my 3060 and use it to help answer healthcare questions. I'm currently doing a medical residency. (No I don't use it to diagnose). It helps comply with any HIPAA style regulations. I sometimes use it to fix up my emails. Not sure why people are longing for a 128GB card, just download a quantized model and run with LM Studio (https://lmstudio.ai/). At least two of my colleagues are using ChatGPT on a regular basis. LLMs are being used in the ER department. LLMs and speech models are being used in psychiatry visits.
* RDS is a managed relational database service. You got a database? We'll run it in the cloud for you. Exact same bits and bytes as you're running locally.

* Aurora is Amazon's own relational database. You can't run it yourself, only with Amazon. It can pretend to be either Postgres or MySQL. And it'll be cheaper and faster and have higher availability. But it won't be the exact same bits and bytes as your own Postgres, so there's some risks.

So far the stuff we said runs on clusters. You pick how big and how powerful and how many and in which AZ and configure how to scale it.

This has fairly pragmatic limits before at a certain point sharding and continuous horizontal scaling just gets too hard.

* Until Aurora Limitless that is which is, well probably not limitless (I don't know) but effectively.

* But you're still configuring cluster sizes and scaling policies. If you don't want to do that, Aurora has a Serverless option. It's the same Aurora but now you don't have to worry about scaling it yourself. The first version was Aurora Serverless but people said it wasn't very good.

* So they put out a 2nd one which is great and scales to zero.

* Now if you have globally distributed customers or care a lot about resiliency, you probably want your database in multiple regions. And you're going to be setting up eventual consistent updates for that. To make that easier there is Aurora Global Database, which is the same Aurora, but now with cross region replication.

* But it's not strongly consistent across regions. Aurora DSQL is. It's an even more bespoke version of Postgres. Actually it's not a relational database one at all, it just pretends to be one. But it uses atomic clocks and shit to cheat the cap theorem and give you global distribution and resiliency with strong consistency.

So in conclusion there's basically only 3 things here:

* RDS which is an unopinionated way of running a relational database in the Cloud

* Aurora, Amazon's highly opinionated relational database. That has Global, Serverless, and Limitless configuration options.

* And Aurora DSQL which is not Aurora a relational database at all but plays one on TV. But it gets to have the best of all worlds - SQL and NoSQL.

They probably should have called it something new but Aurora has good brand recognition. People know and trust Aurora.

In the long term all will probably continue to exist depending on where you are in your cloud journey. But I also expect that in the fullness of time if you're building a new Cloud native application and you don't have to worry about legacy migrations, you'll probably choose either DynamoDB or Aurora DSQL in 99.9% of cases.
I think the lack of discussion of perl is in part because from a bird's eye view, python and perl do exactly the same stuff in exactly the same way, but python has the mindshare. Because of perl's depth and flexibility, for the average developer team it can be really hard to manage.

There's a similar story around javascript - note how es6(?) introduced `"use strict"`. Old school javascript always struck me as a bit like crippled perl with really good vendor support.
IDK, I found a post that's 2 years old that has links to doing llama and SD on an Arc [0] (although might be linux only), I feel like a cheap huge ram card would create a 'critical mass' as far as being able to start optimizing, and then from a longer term Intel could promise and deliver on 'scale up' improvements.

It would be a huge shift for them. To go from preferring some (sometimes not quite reached) metric, to, perhaps rightly play the 'reformed underdog'. Commoditize Big-Memory ML Capable GPUs, even if they aren't quite as competitive as the top players at first.

Will the other players respond? Yes. But ruin their margin. I know that sounds cutthroat[1] but hey I'm trying to hypothetically sell this to whomever is taking the reigns after Pat G.

> NVIDIA gives a lot of support to universities, researchers and institutions who play with their cards. Big cards may not be free, but know-how, support and first steps are always within reach. Plus, their researchers dogfood their own cards, and write papers with them.

Ideally they need to do that too. Ideally they have some 'high powered' prototypes (e.x. lets say they decide a 2-gpu per card design with an interlink is feasible for some reason) to share as well. This may not be be entirely ethical[1] in this example of how a corp could play it out, again it's a thought experiment since intel has NOT announced or hinted at a larger memory card anyway.

> AMD also needs to be able to enable ROCm on desktop properly, so people can start hacking it at home

AMD's driver story has always been a hot mess, My desktop won't behave with both my onboard video and 4060 enabled, every AMD card I've had winds up with some weird firmware quirk one way or another... I guess I'm saying their general level of driver quality doesn't lend to hope they'll fix dev tools that soon...

[0] - https://old.reddit.com/r/LocalLLaMA/comments/12khkka/running...

[1] - As you said, it's about winning and it can get ugly.
It’s fascinating that Amazon Web Services have so many overlapping and competing services to achieve the same objective. Efficiency/small footprint was never their approach :D

For example, look how many different types of database they offer (many achieve the same objective but different instantiation)

https://aws.amazon.com/products/?aws-products-all.sort-by=it...
No (if the parent really meant ‘compiler compiler’ which, I think, would be what yacc/bison is).
> our societal acceptance of death comes from an inability to imagine anything otherwise

CGP Grey captures this sentiment nicely in this animated essay: https://www.youtube.com/watch?v=cZYNADOHhVY "Fable of the Dragon-Tyrant" [2018-04-24]
It was because everyone was poor and so weren't capable of bidding up the prices of homes nor did they have expectations of living on their own.

https://fred.stlouisfed.org/graph/?g=cWvT

Also, 25% of homes in 1950 didn't have indoor toilets. It was very much not modern quality housing.

Note, more households in the US own their home now than they did in 1984. (I don't have numbers on this one back to the 50s.)

https://fred.stlouisfed.org/series/USHOWN

Fear about this is possibly suppressed memories of the 2008 recession, which was really bad!
if you think intel has bleeding edge processes, that hasn't been the case for over 6 years ...
Things from non-defunct companies of that time are hard to find too. That late 90s to 2000s aesthetic is the current throwback style. Y2K drip.
As someone that learned C# and python before C and C++, to this day I couldn't explain to you how make rules work. Make is so unlike build tools from other languages that it doesn't surprise me someone would rather use python to bootstrap their compiler.
Thanks for the response.

I will return to what I meant by 'complex' in a minute. But nothing in your response undermines my point, which is that similarity between thought and object-of-thought is made impossible by materialism. It is true that "a chain of physical causality [runs] from the outside world to brain states via sense organs", and it is also true that brain states will be different based on the causality imparted by the world, as well as previous brain states, genetics, drugs, etc. But causality is not likeness. A brain-state caused by a tree is not of itself the same as a thought about a tree, any more than something else caused by a tree (like the sound of rustling in the wind) is the same as a thought about a tree. The latter needs likeness, not just causality.

> yet you dismiss the possibility of it being anything physical without offering the slightest justification.

The only way there can be likeness if materialism is true is physical similarity. The brain would have to be physically like a tree when Bob had the thought of a tree for there to be likeness. If we take materialism to mean that everything can be reduced to matter, then there cannot be any likeness that is not of matter. And this means a physical/material/atomic likeness is the only possibility. Yet we know there is no such likeness.

The concept of emergence doesn't overcome this problem. It must either produce a material likeness, which we know doesn't happen, or it must cause some kind of likeness which is real-but-immaterial, which is a problem for materialism.

The 'complexity' I referred to was in the context of how we know there is likeness between thought and reality vs that we know there is said likeness. We can know that the likeness exists without knowing how it exists, or being able to describe it in detail. The point was that no matter how complex the mind/brain/process may be, we know likeness must exist in one way or another, because without likeness there is no knowledge of reality. The complexity of the process, whatever the process is, is irrelevant to the need for likeness. That was my point in raising complexity; I should have been clearer. Complexity does not change the fact that the only likeness for materialism can be a physical likeness.

The CD is not a valid parallel. There is a chain of causality between the laser's interaction with the disc, and the sounds produced by vibrating speakers. A chain of causality is not a likeness, as I stated above. Further, a CD has no knowledge of its contents, so there is no need for likeness (physical or otherwise) between its imprint and the sounds it causes. We have knowledge of the world, so there is need for likeness.

Anyway, the nub of the matter is that you need to show how there can be likeness that is not physical likeness if materialism is true, or you need to show that likeness is not necessary for a thought to be about reality.
AWS does not use the exact same authn/authz/identity model or terminology as other providers, and for people familiar with other models, it's pretty non-trivial to adapt to. I recently posted a rant about this to https://www.reddit.com/r/aws/comments/1geczoz/the_aws_iam_id...

Personally I am more familiar with directly using API keys or auth tokens than AWS's IAM users (which are more similar to what I'd call "service accounts").