skysight-inc/HackerNews huggingface dataset:
I don't know about the new developments but with last year's copilot, it's great as long as you don't have it on all the time. Just turn it on when you want it to complete something. Unfortunately VSCode didn't/doesn't make that easy -- you have to hack something together yourself:

https://github.com/orgs/community/discussions/7553#discussio...
I saw a tee shirt the other day that said "It sucks to be the same age as old people". We are that old. :-)
And for raising more its usually also the middle class. Generally, middle class is a convenient target.
> They want enrichment. They want activity. They want meaningful stimulation.

> Writing is work. Acting is work. Making video games is work. Helping old people get around is work.

All true, but keep in mind that value is created when work produces something that someone else wants to consume. Enrichment and meaningful stimulation to one may not produce anything useful to another, and in fact can often come from consumption. The alternative to being paid to be at a job you don't want to be at isn't sitting around doing nothing all day; it's being out there, enjoying themselves, living life, consuming products and services that others produced.

Would you rather clean toilets (providing what is desired by others, i.e. having a clean bathroom) for five hours or go do your favorite leisure activity, be it playing basketball, hiking, or spending time at a museum (consuming to fulfill your desire), for the same five hours, if you got the same universal basic income payment regardless of your choice?

Work is often hard and stressful. People have to deal with irate customers. People have to sweat and lift heavy things and have their bodies ache afterwards. People have to struggle and wrack their brains to solve a technical problem under a deadline. People have to do all sorts of things that they may not want to do in the immediate moment. Currently, the incentive for that is remuneration for time and labor performed. When you take that incentive away, who remains to do the work that is hard, isn't enjoyable, and may not be fulfilling?

What's that you say -- humans want their lives to having meaning, and this will somehow result in all of that stuff being done, anyway? All against the backdrop of a culture that is steadily moving away from one that values hard work in a moral sense? I'm skeptical.
Thanks for the explanation. In that case, the following search works:

-mac os 9
Thanks for the question, very natural to ask. We are also fans of PySft. It offers support for a very wide range of privacy enhancing machine learning tools. But where Flower and PySft differ is in focus. Federated learning is difficult and requires many technical moving parts all working together (e.g., secure aggregation, differential privacy, scalable simulation, device deployments, integration with conventional ML frameworks etc.). All of these need to tightly integrated, and in a manner that performs federated learning efficiently. This is where Flower currently excels. It offers comprehensive, extensible and, most important, easy to use construction of federations that need these different parts together. We believe it offers the best user experience for federated learning currently out there. We hope in the future many tool suites that offer private machine learning (like PySft and others) will actually adopt Flower components so we can all work better together.
I noticed that before and am glad to see it fixed. My current issue is that typing to search is noticeably slow on a 150,000 entry history, especially for the first few characters. fzf is instant for me.
...except it's not. It crashes regularly and has many compatibility issues.
> We'll probably need less and less developers as AI advance. Just like we need less manual labor in farms today.

There will be more developing than ever, but humans will sit on a different place in the stack. We'll be more like team managers. Stable Diffusion can make pretty pictures by itself, but only when a human directs it then it can have value.
Naturally and I doubt anyone would argue otherwise. My point being that OPs comment, about the size of a rounding error was the real reason for the bank going bust, seems highly unlikely.
Not all embedded systems are that limited. Check the specs of some of the latest flagship phones.
Almost. If your dataset contains questions and answers about your own projects documentation, then yes. The UX around how to prompt a fine-tuned model depends on the format of the dataset it's trained on.

One way you can do this is pass your documentation to a larger model (like a GPT3.5 / OSS equivalent) and have it generate the questions/answers. You can then use that dataset to fine-tune something like Llama to get conversation / relevant answers.
Those smoke effects are beautiful!
I believe the space was added when they formally renamed the operating system Mac OS in 1996 (with System 7, specifically 7.6).
Buyers Club
For anybody comfortable with the compiling the single-file binary ... it doesn't gain you anything. For a class of "power-end-users" it provides a mechanism to build sandboxed apps on a multi-tenant system. I think the spiritual successors split though between PAAS/heroku-like systems and "low-code" platforms.
> This is a true story. This actually happened.

> Everything in this essay exists.

I can't read this and believe that this article wasn't written by Nathan Fielder.
Hmm. I've driven on snowy roads and found it to be better at handling than any other car I've driven, even counting cars that had dedicated snow tires (whereas the Ioniq only had all-season tires).

It also has a "snow mode" to help with particularly bad roads. I found at least one review that puts its snow handling down as a "pro", so it's not just me. [1]

I did get the Limited AWD with the 20" wheels. Not sure if that makes a difference.

[1] https://www.hotcars.com/2023-hyundai-ioniq-5-review/
>Machines don't lie.

What about that viral story about the Taskrabbit captchas and a bot lying about being a visually impaired human?
Man, that would be great if we can add a step to summarize an article before posting it to social media
It’s the other way around - they decided NOT to make their websites adblocker-friendly. Deciding to make it _unfriendly_ would require extra work.
> do I make any decisions based on what my weather app is telling me? No.

Do you not ever go outside? I can't imagine not caring about the forecast, I make decisions based on it every single day.
This is cool no doubt and I use it every day and it still has shortcoming and isn't perfect.

However, I definitely see job cuts coming. Not now, in some years. I'm lucky, I'm closer to the tail of my career than the start.

But I feel for the hords of young people who have got into this career but may soon find only a smaller percentage of them are needed.

You can't fight it, it's going to happen. It's up to the individuals to identify this risk and take steps to ensure their bases are covered if it and when it does.
The problem with 2.5G is that it's not enough of an upgrade over 1G to warrant buying all new switches and NICs to get it. For that matter few home users push around enough data for 10G to be a big win.

IMHO this is why Ethernet has stalled out at 1G. People still don't have large enough data needs to make it worthwhile. See also: the average storage capacity of new personal computers. It has been stuck around 1TB for ages. Hell, it went down for several years during the SSD transition.
Your comment is pretty clearly against the community guidelines but ok. Donald Trump donated his entire salary every year he was in office, effectively zeroing it. Do you like him more now?

source: https://www.usatoday.com/story/news/factcheck/2023/02/02/fac...
“Lying to the public for decade”

I think you meant since forever. I’m sure propoganda has existed since someone could yell loudly in a town square.
- lock down of PC software to the Microsoft app store, probably roughly at the same time apple also tightens a lock down on macOS

- more anti competitive steps to make installing desktop Linux on consumer hardware hard while arguing you could just use WSL and it's "for your security" and they are not anti Linux because they embrace Linux on servers

- trying to kill Valve, there should only be Windows games and only through the Windows app store

- maybe retrying mobile if Google doesn't do that well

- probably even more anticompetive email nonsense in the sense of "who needs emails providers beside a few giants (like gmail)"

- probably trying to make proper (by then) modern 2FA not work on linux due patend or drm issues, trying to make it hard to log in anywhere in the web with a native linux system
Beethoven's genome sequenced; to be made available to researchers
50% means we can't "accurately" identify them at all. The article mentions that it is effectively like a random coin flip, but the title is misleading.
Student debt is a mini-bailout for millions of mostly lower and middle class people. The Swiss bailout here is for dozens of stupendously rich people.
That force runs both ways, though. People don't just increase family size as a fact and force themselves to buy a house at any cost. The cost of housing suppresses household formation and household size.
> Many of my childhood friends have given up on the idea of ever owning a home, which is really tragic. Home ownership is a key driver of upward economic mobility

Can housing be affordable and a “key driver of upward economic mobility” at the same time? I guess if housing prices are flat at least you are getting equity for your money.
I last looked at that maybe eight years ago? The web page has undergone some updates, but the PDF paper is still from 2009.

Older Lisps didn't mess up fexprs. The developers wanted (ahead of time) compiling and moved on.

Using lexical scope in the context of fexprs is only a minor (and obvious) improvement. If fexprs made a comeback in, say, Common Lisp, it is painfully obvious they would be functions, whose parameters and locals are lexical by default.

Under a single dynamic scope, what it means is that when a fexpr is evaluating the argument code, its own local variables are possibly visible to that code. If the fexpr binds (let ((X 42) ...) and inside there it calls EVAL on an argument which contains X, that argument's X resolves to 42.

That could be fixed by using two dynamic scopes: the fexpr having one implicit dynamic scope for its own execution (perhaps newly created for each call to the fexpr), and using an explicit dynamic scope for evaluating the argument material (that scope coming in as an argument).

Under a single dynamic scope, if the number of fexprs in the system is small, they can stick to some namespace for their own variables, and all non-FEXPR routines stay out of that namespace. fexprs have to then be careful when they pass pieces of their own code to other FEXPRS.

In a program with large numbers of fexprs, symbol packages would solve the problem: there would be multiple modules providing FEXPRS, which would use identifiers in their own package. Then only fexprs in the same package could clash when they use each other, which is resolved by inspection locally in the module. (E.g. use unique symbols across all the FEXPRS.)

I don't suspect hygiene was a problem in practice; during the heyday of fexprs, there wouldn't have been programs with huge numbers of FEXPRS (let alone programs with churning third-party libraries containing fexprs). Everything would have been done locally in one site, by a small number of authors working in their own fork of Lisp as such.

Thus, I don't think this was the main problem identified of fexprs; it was really that impediment to compiling. Schutt's paper doesn't seem to attack this problem at all.

Hygiene is a non-problem; we are still cheerfully using Lisps without hygienic macros in 2023, whereas fexprs not being compilable was clearly a pain point in 1960-something already.
I follow the market for Seattle East side pretty closely and prices have definitely dropped compared to a year ago. A ton of houses that were listed with ridiculous early 2022 prices have been re-listed multiple times to lower prices, in many cases dropping the price by well over 6 figures. One example a house in my neighborhood initially listed for 1.8m ended up selling for 1.45m
To me the key issue are these 'hallucinations'--mistakes that seem plausible but are completely made up, like API endpoints that would be super useful except for the small problem that they don't exist. GPT4 is better than GPT3 on these but it still produces a lot of them.

The question is whether these are somehow inherent to the LLM approach or whether scaling up and continued improvements can eventually get rid of them.

They are the main barrier at this point between a very useful tool, but one that still needs to have all its output carefully checked by humans when it comes to anything important, and a true autonomous agent that can be given full tasks to do on its own.
Do you do anything outdoors? Sports? Hike? Drive? Own a home that is affected by storm systems? Commute on transit systems that are affected by the changing weather?
Richard Dawkins declares there are only two sexes as matter of science
> Obamacare was a Republican idea designed by the Heritage Foundation in the 1990s.

I may be misremembering, but I think the basic outline was first proposed by an health insurance industry trade group during the debates over President Clinton’s proposed healthcare reform, and was popular with Republicans as an alternative, and the Heritage Foundation version was a further elaboration.

But, yeah, very far from Left.
Oof, so many things wrong with this tweet, starting with the fact that the chart doesn't address the claim of the the image to which he's responding.

The claim is that all of those things could be afford on a single income. The chart doesn't look at individual income, but uses "family income" in both cases, hand-waving away protests by saying two-income homes were already common in 1953. That is debatable, and the tweet offers no evidence or basis for comparison, but again, does not address the claim of the original image, which involves a single income.

Smugly pre-declaring that you've made a case you haven't made, and gently mocking people trying to point out your error, it's not a good look.
I remember reading Ray Kurzweil's book 'The Singularity is Near' (a book with bold predictions about human development and future) and thinking this guy is nuts, we are decades if not centuries away from these predictions. Well, now I don't feel so comfortable.
Mid level engineers will be surpassed two years later. And then seniors. But we'll still need humans in the loop, humans who understand.
You pay $700k for the house and $2.5M for the weather, stable power grid, and lower taxes (yes, people in Cupertino pay lower overall taxes than people in Austin).
Depends on the model size. A model like GPT3 that has hundreds of billions of paramaters, you can do few-shot learning with. You'll still pay for the tokens processed and it'll at least linearly increase response times the larger your input is.

Fine-tuning can get you similar results on smaller / faster models. The downside is you have to craft the dataset in the right way. There are trade-offs to both approaches but fwiw, I don't think Alpaca-7b can do few-shot learning.
It could be an inflation hedge. You buy a house at a fixed rate, you pay your $5K/mo mortgage for 30 years. Meanwhile inflation makes this $5K less and less in real value. But you can rent it out for more and more.
I’ve replaced Dark Sky with Windy but, although Windy is quite good, it doesn’t answer the same questions that Dark Sky answered quickly (and the article does a good job of pointing out these questions).

https://www.windy.com/
You should care if your code's license is being violated by being reproduced without attribution. Undermining OSS's licenses can ultimately weaken it, and the cynic in me suspects MS is fully aware of this.
That movie lost me when I realized someone had to pour the concrete with the bullet and bullet hole and cracks already in it, but the same doesn't happen when the bullet comes out of human flesh.

I'm imagining the horrifying disease a child must have been born with, that legitimately cured by putting a time-reversed gun to its body and pulling the trigger.
I really miss Dark Sky, but MyRadar has been pretty good to me in its stead.
> it cuts the step of installing the correct interpreter... at the cost of requiring the correct computer architecture.

Obviously this depends on the product but I'd give anything to worry about interpreters over the correct computer architecture in the M1/M2 Intel Embedded world.
Leaked Document Shows How Amazon Ended Up Over-Listing Thousands of Jobs
> but where or where are the authors who wanted to expand the minds of their young readers? I cannot find them anywhere.

Challenging writing has been iteratively squeezed out of books aimed at young readers. The goal of addressing as large a market as possible means every publisher wants all their authors targeting exactly where kids are, or a bit under, to maximize appeal. A couple decades of that pressure means "where kids are" keeps becoming a lower and lower target, because none of their books are challenging them anymore.

Options outside of YA are dwindling because YA, romance/porn, and true crime / mystery / crime-thriller (all aiming at ever-lower reading levels with each passing year) are the only things people actually buy anymore, in large enough numbers to be worth the effort. Other genres simply can't support very many authors these days. Sci-fi and fantasy are hanging on mostly by shifting more heavily toward YA (and sometimes romance), as you've observed.
Just a reminder, you can donate to archive.org. [1]

[1] https://archive.org/donate
Candida auris was discovered in 2009. CRISPR in 2012. Candida auris itself could not have been the result of any CRISPR editing experiment. Maybe you are suggesting that a particular strain of Candida auris is such a result. This is difficult to refute without an actual genomic analysis. But a much simpler explanation exists: Candida auris is nasty in itself. It does not need genetic engineering to be nasty. It is simply spreading in hospitals among immunocompromised patients because this is what Candida auris does. Per wikipedia [1]:

> Often, candidiasis is acquired in hospitals by patients with weakened immune systems. C. auris can cause invasive candidiasis (fungemia) in which the bloodstream, the central nervous system, and internal organs are infected. It has attracted widespread attention because of its multiple drug resistance. Treatment is also complicated because it is easily misidentified as other Candida species.

[1] https://en.wikipedia.org/wiki/Candida_auris
I'm first to crap on MS but they've really pulled it together recently with a lot of big plays coming to fruition. I don't use any of their tech but I can respect what they've done as a business.
You should definitely submit this to https://github.com/orbitalindex/awesome-space#earth!
https://news.ycombinator.com/item?id=35263734 helped explain it for me.
Even GPT-4 can only handle a few pages of text as prompt for examples. In most cases you'd want to fine tune.
It's more like marrying a sex doll.
Tcl already has built-in event loop and async programming features.
Do you use ActiveDirectory for identity? In my experience, most corporates are either AD + Windows , or Google Workspace + Chrome
Whatever model the Weather app uses has been hopelessly unreliable and at times downright incorrect. Dark Sky wasn’t always accurate (no model is), but it seemed to match reality more often than not.
Just turn around and face the wall. It’s oral, not personal.
I think it's more about salesforce, I have a pretty negative opinion about them and everything they acquire seems to limp along or die (and the good employees leave immediately) - just seems like a boring place to be (nice sky scraper though).

Microsoft has a better track record with acquisitions.
> which is still planned

Where are you getting that from? That proposal is not accepted.
Jumping the Shark
Senior developer aren't senior because they can type code very fast. They are senior because they can take on responsibilities and make decisions. A junior that types code very fast is a junior that types code very fast.
The game and concept of infection came out in 2013 so it's a lil past the spoiler quarantine.
Even in ‘08 this was the case.

That’s why short sales, foreclosures, ‘mailing the keys in’, etc. were a thing.

With housing, it’s NEVER a thing that someone just sells at a loss just because.

They sell at a loss because they don’t have a choice, and the bigger the loss, usually because the less choice they have.

If labor market is still doing well, then there is little pressure. Usually that happens a bit later anyway - construction workers out of work because housing isn’t being built, or folks employed by tech workers get laid off because tech isn’t so sure about those bonuses, etc.

We’ll see though - maybe the fed will pull off a soft landing this time.
How strongly will those costs be felt by the Swiss people compared to the rest of the world?
In my country it’s not illegal when you punch somebody in the face, but we have another deterrent that works very well. If you punch somebody in the face, then he pulls out his wallet and gives you $50, then presents his face for you to punch again if you’d like. Once you stop punching, he gives you $100. So you see, assailants quickly learn that face punching is an action of grave consequence and loss, and the fact that everybody here is punching each other in the face all the time is probably because of something else.
They are hard problems because of the political landscape in the US. Sorry but I thought that was implied by my statement. Clearly there are simple implementations that can solve the problem.
Another difference. Because Google is on the Ads business, they won't incentivize anti-ad/privacy behaviour. Firefox has that edge, at the very minimum.
Yeah I don't think it's an awful tool for experimenting or education. But I regularly see people expecting a Raspberry Pi fleet to be an actual server cluster, and you're just creating a bad time for yourself there.

I use a combination of Intel NUCs, Gigabyte Brix, and flashed Datto Altos (branded Zotac Z-Boxes) for various roles and they absolutely shine whether running Linux or Windows-based workloads.
> Specifically, investment firms specializing in single family housing

I dont think I have seen good data that includes or calls out "investors" rather than "investment firms" I suspect that a lot of property ends up in the hands of individuals be it a vacation home, rental, air BB or flip.
There are a couple open source implementations. I'll list a couple below:

7B:
- https://huggingface.co/tloen/alpaca-lora-7b
- https://huggingface.co/ozcur/alpaca-native-4bit
13B:
- https://huggingface.co/samwit/alpaca13B-lora
- https://huggingface.co/Dogge/alpaca-13b
30B:
- https://huggingface.co/baseten/alpaca-30b
- https://huggingface.co/Pi3141/alpaca-30B-ggml
Related to [1], I thought modern Java deployment style is to bundle the required modules of the JDK with your app, rather than any concept of a "deployed JDK".

As it is, the difficulty of deploying a JDK + your app is much more than a single static binary, Go-style.
IT departments struggling with skills shortages despite Big Tech job cuts
We forgot very quickly that there was an entire generation of developers who paid $1000-2000 or more for an MSDN subscription just as the base cost for doing business. This is what Microsoft does.
I use macOS in large part because its a *nix OS under the hood.

WSL gives a lot of that power to Windows.
I’ve always felt that merely “being introverted” was just a way of saying “I’m not good at talking to people and I don’t want to get better at it”.

Kind of like saying “I’m bad at math”. No, you aren’t, you’re just being lazy.