skysight-inc/HackerNews huggingface dataset:
We can probably even think of AI as a generalized meta-interface to everything - there’s probably no better UI/UX than natural human language that we’ve all been speaking since childhood.
Musk disagrees.

https://www.bbc.com/news/business-65248196

> Mr Musk said Twitter was adjusting the label for the BBC to "publicly-funded". "We're trying to be accurate," he said.
Don't doctors have a lot of the administrative duties, preparation of equipment, etc., done by other staff in the practice? For practical purposes, wouldn't that count as having an assistant?

In the case of this post, one could argue that collating statistics should be done by ICM staff rather than the committee chair.
For balance, also someone who tried to do something similar:

https://en.wikipedia.org/wiki/Pippa_Bacca
I am talking about non-technical roadblocks. Cross-team product engineering projects can sometimes involve ownership changes which affects the company in non-technical ways. Some influential product/design lead might lose some control of their UX, some engineering team will become "redundant" and need to be reorged or refocused to other types of work etc ...

You might be able to help with those politics but it's probably also not your job to do that. That's partly why actual engineering and product managers are on-staff to focus on things like that.
I think there is plenty of room for lifetime licenses. In fact pretty much any video game works this way! I bought Zelda from Nintendo a few years ago, and Nintendo is not making any money from that purchase any more. But they instead make a new game, which I'll buy, and the cycle continues...
That whole "swearing in" is so dumb, in my opinion.

What is the point, other than ceremonial, I guess.

One can raise their right hand and swear on the bible or swear on "Pale Blue Dot" and still not do what they swore to do. And someone might not swear at all and keep faithful and do what he or she is supposed to do.

How does swearing in make a bit of difference? It's nuts. Just hire me and let me get on with the job.
This is not a criticism of Javascript; this is history. There has been a lot of work done on Javascript over the decades. But historically, it is a language that was put together in a week in an emergency, last-ditch effort to keep Java from being the language instead. That's literally a week, not a rhetorically-exaggerated week.

For a one-week language, it's pretty darned good! But it was still a one-week language. The behavior of the == operator is one of the places where that really shows. I'm sure Brendan Eich would have cleaned that up with more time, but there wasn't any. And the behavior of the == operator is just one of those things that simply can not be fixed for backwards compatibility reasons. That's why an additional one had to be added later that works more sensibly.

There's a few other old corners of JS that have survived into the modern era. See also the excitement of hasOwnProperty and all that involves. This was a huge mess for a long time.

The work on cleaning it up, against the requirements of backwards compatibility and the uphill battle of having so much of it deployed out in the world, has been exemplary. But there is still some things that just can't have much done about them, == being one of them.
One wonders if eventually - historians will plug all the content from a person's personal notes, their diary, their chat logs, into an LLM, and perform research by talking to the AI about the person's life?

If you trained an LLM against all the recorded discussions of Einstein - is it that different from talking to Einstein himself?
Does it work...? The examples given at the bottom of the post were pretty great, but could easily have been cherry picked. I'd be curious to see how it performs against standard benchmarks.

But I love the thought here. I didn't realize the instruction tuning for GPT was from only 40 people. It really does bring into perspective how easily a motivated large organization could bring their employees to bear to do something like this, and I'm grateful that DataBricks has done it and is sharing it here.

I wish I understood how LLMs work a little better. This is a neat piece of the puzzle I wasn't fully aware of. But now my mental model is that LLMs work with kind of "three layers" of inputs:

* The base many-billion or even trillion parameter model, trained on a huge corpus of text, which basically is how it learns to use language as I/O.

* The instruction tuning, on just tens of thousands of inputs, to give the raw model some further guidance. This is a sort of transfer learning, maybe? Doing further training on top of a big model?

* The prompt itself can provide further inputs and context to tweak how the response should look.

I had been thinking of LLMs in terms of the first layer, the base model, and the bottom layer the prompt, and was thinking that you could get progressively more sophisticated in the prompt "context" to have LLMs tailor made for your particular use case.

But actually, there's a decent chunk of space to explore on the instruction tuning? Like, say you wanted an LLM to help lawyers with case law or something, to keep it from hallucinating quite as much and being more detailed and useful. Is that something that would fit in the middle layer? Could a "legal AI startup" tackle that problem by starting with a big open source base model, proprietarily tuning it with 10s of thousands of legal questions and answers, and then sharing that model with law firms, with maybe a customer support rep at the firm able to do the final tweaking with the prompt context? Is that how this all fits together?

The examples here of digesting DataBricks info and customer support tickets I found really interesting. How exactly would large companies like DB tailor LLMs to their particular use cases and data?
Yea, ofc. There's just a lot going on all at once. And some of it is honest to god huge quality of life improvements, which impose guard rails around piles of garbage and creates reluctance to see or acknowledge very real negatives.
> This is nonsense

Core 2 duo Quad from 2007+ used to have 2 L2 cashes (not 4) and no L3 and task manager of Windows refused to see more than 2 cores, but for some rare tasks Quad was perfect such as playing GTA4. That is just my memories, feel free to correct me if you see me mistaken.

> Then you don't understand "Amdahl's law". It is very basic and only about parts of software that aren't multithreaded becoming a bottleneck.

Everything except of browser is not multithreaded in 2023, for example a garbage collecting of interpreted languages.

> This is not true either and you could look at benchmarks to see it.

I have a heavy single-threaded application which I need to run 24/7 and I still use Pentium 4 because no modern computer can make it 2x faster.

> Disable hyperthreading and all your cores in the bios, then run multithreaded software and say the same thing.

I mean starting from 2 cores the number of cores does not add anything visible.
Power delivery and cooling are not cheap at datacenter levels.
The entire world now has a brilliant assistant for these kinds of things - it's ChatGPT.

Every numbskull to every professor now has the ability to generate information on a scholarly level and solve problems that could take a human years of training and experience to produce.

I'm really trying hard not to get all doom and gloom about this stuff, but I'm honestly worried. It keeps me up at night.
I think it explains the why quite clearly- editorial independence. It's a big deal. NPR is allowed to be critical of the US government in a way that RT is not.
Talk about rage quitting. They'll be back.

And whether it's unpopular or not, CPB gets federal and state grants for part of their operating budgets . Technically state funded or affiliated in the same way auto makers get government contracts.

I don't know why they are mad about the designation. Whether it implies bias or not, it's true they get state funds, ergo they are state funded media.
Yeah the same concept of "if statement", very smart /s
>I was pretty amazed when I pasted in some of my medical lab test results and ChatGPT was accurately able to parse everything out and summarize my data

I think an important question is how much faith we give in the answer (especially with medical data!). There are lots of examples of great uses but also a number of examples of hallucinations and just plain bad summaries. When the stakes are high, the conviction needs to be couched in the risk of it being wrong. We need to be cognizant of the automation-trust factor that sometimes makes us place unwarranted trust in these systems.
Yeah, I agree. The point of making mind maps is the relationships your brain makes between topics and subjects. Having an AI generate this for you won't help with recall or understanding a subject because it's not how your brain relates concepts. It's how some machine thinks they are related.
Use rpath and ship your dependencies. Even if you dlopen every shared library explicitly you have the same problem.

The glibc version problem is not new, you have never been able to rely (safely) that a version of glibc exists that works for your compiled program. This is an example of why containers exist, but unfortunately the problem isn't ELF - it's glibc!

And for that matter, glibc also ships the loader. This is the part that's mildly insane.
>>I don’t think car dependency will turn out to be a good one

VERY True!

And a huge amount of it is due to the corporations influencing against any form of public transportation in past decades.

The only thing that (almost paradoxically) is may be helping progress, is the surge in e-bikes. It's both bringing a lot of people into biking, and/or enabling them to bike longer distances, so encouraging a lot more. And apparently, the net exercise amounts are similar, so it's still a health benefit. With all that, maybe we'll get to serious support for biking one day. Soon, I hope.
I don't believe it, $10 says somebody someplace changed how inflation is calculated in order to make the number look better.
> This isn't tragedy of the commons, because the whole of humanity does not end up worse with these actions.

Nothing about "tragedy of the commons" implies that the "commons" must be of global scope. The name derives from the classic example of unregulated grazing on common land in the UK.

> These arguments turn a blind eye to the harms to surrounding people and the homeless involved.

Not at all, the whole point is to reduce those harms. When you clear an encampment, the homeless person doesn't just disappear. You don't fix the problem, you just move it elsewhere and make it worse and harder to fix.
On Monday Yann LeCun and Andrew Ng said instruction following LLMs would be commoditized. Apparently they were right.
Before moving to Ireland, Canada was our #1 option. I started some research on what would I need to have my Brazilian degree validated so I could take the oath and be accepted into the EIC.
I have always dreamed of a paint/pigment that you could flip from high absorbent to highly reflective and then connect it to a thermostat. When it is cold out, your house is vantablack and in the summer, it's bright white.
linkedin is a mess, they used to let everybody get access to your email, and bombard you with spam
Laravel – Closing Tickets
I really don't understand why this ticket was closed .
Was always surprised more super focused job boards like this dont exist. Are all the fully remote jobs actually fully remote? Quite often these ads look very US centric and dont tend to mention acceptable locations at all.
We have courts of law that determine fact, and if the behavior isn’t criminal, we have civil courts as well. For professionals we have ethics boards and censuring processes. But do we really want to set up a system where people vote people out of their careers with no review or process? How do you prevent this from being abused? Or worse expanding beyond the original remit to more facets of life? There’s a reason we have reasoned institutions handle these sorts of things rather than the lynch mob. How long until internet trolls use these tools to take down people that go against their politics, or ruin random people for lulz?
I didn’t even know there were mastodon clients, though I should have assumed. Know and good ones for Linux and Mac?
Webb Observes the Hubble Ultra Deep Field
Hot take: I don't think organizations with less than ~1000 engineers in the org-chart should even have "Principal Engineers".

If you:

1. Write code

2. Build proof-of-concepts

3. Fix bugs

4. Create designs

5. Align work across multiple teams

6. Work together on a complex feature, or features

7. Identify new directions and opportunities

8. Create an architecture

Then, congratulations, you're a software engineer.

Enough with this self-aggrandizing s*!t already.
So Intel might use TSMC's better process for some of its own CPUs while fabbing ARM CPUs in its foundries?
I really like those "case study" books about our industry, too. Off the top of my head, two more:

- "Hatching Twitter" by Nick Bilton (published in 2014, about the early days of Twitter)
- "Super Pumped" by Mike Isaac (published in 2019, about the early days of Uber)

Neither of them go into great detail or nuance — they're made for popular consumption, so they simplify things and gloss over details. You won't find any extensive discussion of microservice architecture and organizational design. But they were still interesting reads.
One level further: the historian asking questions is itself an AI meaning as soon as primary sources are provided, interesting history insights flow out.
It may be windows specific thing like registry looking at specific runtime thing or whatever... This software doesn't run with OpenJDK: https://support.ismacontrolli.com/Software%20%26%20Tools/iSM...
You might like "Manufacturing Consent: The Political Economy of the Mass Media", a 1988 book by Edward S. Herman and Noam Chomsky.

> It argues that the mass communication media of the U.S. "are effective and powerful ideological institutions that carry out a system-supportive propaganda function, by reliance on market forces, internalized assumptions, and self-censorship, and without overt coercion", by means of the propaganda model of communication.

https://en.wikipedia.org/wiki/Manufacturing_Consent
I was trying to do the same thing (ffmpeg to do file transformations on upload) and couldn't figure it out with Supabase functions. After poking around in the Deno discord for awhile, it seems that ffmpeg.wasm for Deno just isn't much of a thing yet. I was able to get it working with Vercel functions, but it was a total nightmare and the runtime made it a non-starter. I landed where you started: just do it in Lambda!
The policy I linked isn't new, just recently updated- they started wading into those waters a long time ago.
"If you trained an LLM against all the recorded discussions of Einstein - is it that different from talking to Einstein himself?"

Yes, his daily visual, touch, hearing, smelling, readings... perceptions will be missing from the model.
The English in today's King James Bibles isn't even King James' English. It was originally written in King James' English in 1611 but was updated in 1769: https://en.wikipedia.org/wiki/King_James_Version#Standard_te...

From Wikipedia: "The 1611 and 1769 texts of the first three verses from I Corinthians 13 are given below.

[1611] 1. Though I speake with the tongues of men & of Angels, and haue not charity, I am become as sounding brasse or a tinkling cymbal. 2 And though I haue the gift of prophesie, and vnderstand all mysteries and all knowledge: and though I haue all faith, so that I could remooue mountaines, and haue no charitie, I am nothing. 3 And though I bestowe all my goods to feede the poore, and though I giue my body to bee burned, and haue not charitie, it profiteth me nothing.

[1769] 1. Though I speak with the tongues of men and of angels, and have not charity, I am become as sounding brass, or a tinkling cymbal. 2 And though I have the gift of prophecy, and understand all mysteries, and all knowledge; and though I have all faith, so that I could remove mountains, and have not charity, I am nothing. 3 And though I bestow all my goods to feed the poor, and though I give my body to be burned, and have not charity, it profiteth me nothing."

The ESV (English Standard Version) is considered the modern equivalent.

[2016] 1. If I speak in the tongues of men and of angels, but have not love, I am a noisy gong or a clanging cymbal. 2 And if I have prophetic powers, and understand all mysteries and all knowledge, and if I have all faith, so as to remove mountains, but have not love, I am nothing. 3 If I give away all I have, and if I deliver up my body to be burned, but have not love, I gain nothing.
I had to look that age up. You're right, ~19 years ago[1] badUSB made its debut.

Another fun toy is the USB Gadget Kernel module. I've been running yolo + mouse/keyboard emulation on a raspberry pi to make horrible aim bots.

1. https://en.wikipedia.org/wiki/BadUSB
Ask HN: Is image-GPT-4 better at tikz/canvas drawings than text-only GPT-4?
This question is a bit disingenious because I think that no one here can know the answer, but I think it is an extremely interesting question and I wish someone tested it and posted the results.

By my understanding there are two GPT-4 models, one that is text only and one that is multimodal, with image input. That's what I mean by image GPT--4.

GPT-4 has demonstrated that it is significantly better than previous models at drawing with tikz or canvas.
It can draw rudimentary pictures of things like animals or food. It can also modify these pictures according to your desire.
It was not clear to me from the "sparks of AGI" paper if they used image-GPT-4 or GPT-4 when they tested this.

My hypothesis is that image-GPT-4 is much much better at this task because learning to understand images requires learning some understanding of 2d geometry. If this knowledge carries over to a text-only domain in the form of a better understanding of drawing, then I would see this as a great demonstration of the ability of SGD to really "integrate knowledge". To find weights that somehow represent the underlying world model behind the data, which ought to be the most efficient way to reproduce the data.

Furthermore, I hypothesize that the tikz/canvas drawing capabilities of image-GPT-4 jump up another good bit if one lets it look at its output and iterate.

I hope you find these questions interesting and, if no one can answer them here, perhaps ask them to someone else who might know.
Theybare because they are trained to be. You are actively dissuaded from any diag work, because it can be harder to justify your hours to the customer and dealerships are awful. For a mechanic, its a good and bad job. Nevermind ASE certification that encourages the same. Only small indie mechanics have the freedom to do good work.
I think you could turn this into a game - Dance Hero or something. With a ridiculous storyline where you have to send signals with the power of dance to save the world
Then don't swear an oath if you think it's bs. Mocking the ceremony just shows she's an unserious person and not fit for the responsibility.
Hah, funny. This is how policy changes happen in the Musk era: a juvenile troll, followed by an embarrassingly transparent attempt to cover it up.

The joke is on all of us for giving this silly man our attention. I regret that I even know about this "news story."
See Black Mirror S02E01 (it doesn't work out very well)
Shame that this is flagged, I think this is a really exciting development and was hoping to see the discussion around it. Open sourcing the fine tuning training set is a great building block. Will be exciting to see if others continue to build on this. More open source datasets, models, and evaluation frameworks will accelerate the development and adoption of LLMs. It adds more hackers to the mix building the core, rather than just the stuff at the edges (i.e. apps).
Can you please mention how many queries are enough for you to get an impression of Grep?

>It also seems that following some websites is difficult. For example, I wanted to follow Nomad List and Weather Spark...

There is a feature on our roadmap where you can visit grep.help/nomadlist.com to follow the site, but it has not been shipped yet
We are already there.

100% accuracy on up to 13 digit addition can be taught to 3.5 as is.

https://arxiv.org/abs/2211.09066

And 4 has little need for such out the box
I don't care about Lensing's bio, or even him as a person. What matters is, ex-propaganda (protip: https://www.wordnik.com/words/propaganda) bureau head is now leading NPR, an allegedly independent institution. Imagine what you wrote above but substituting China for US.
Which part is false?

Tell that to shitty, billionaire internet troll: https://twitter.com/elonmusk/status/1078010341651492865
Someone should make Harry Potter paintings-themed webapp where you can talk with LLM powered figures for fun
So is your argument that NPR is a mouthpiece for the US government? I think that requires some evidence, rather than flinging about flimsy associations like this.
Came here to say this. Go through the actual course methodically though - readings, summaries, problems solutions. It's incredible. Miles ahead of coursera equiv.

https://ocw.mit.edu/courses/18-06sc-linear-algebra-fall-2011...
All they need is some rapper to look confidently ridiculous in it and voila... instant fashion (gag)
I always like looking these folks up on youtube to see if they have any interviews, this guy did talk for Chicago Techweek, and his story starts remarkably similar to another tech dude who was recently charged with fraud... goes something like this:

(when I was 12) I found some discrepancy in the price of a security, so I wrote a simple program that traded on the discrepancy.

https://www.youtube.com/watch?v=GPBoIyA11TI

Also this one is amusing given the context "you win if you're not afraid to break rules and do things the way they're best done in the new reality"

https://www.youtube.com/watch?v=wAOa-4vnFWg
The article is paywalled, so I looked at the BLS CPI data myself.

The 5.0% number is being driven by falling (plummeting? -6.8%) energy prices. Food is still up, at 8.5%, and all items excluding food and energy stands at 5.6%.

https://www.bls.gov/cpi/
I'll cop to having cooled a lot on dynamic languages in general over the past 10 years, but broadly speaking I think it's reasonable to say the decades of experience of the various dynamic languages leans in favor of == being strict in terms of the types of the operands and making it either "false" or an exception. The convenience of comparing a string "124" to the number 124 is outweighed by the near-continuous stream of bugs generated by the languages that will happily yield "true" for that. If I were writing a new dynamic language I'd look to emulate Python's == more than Perl or Javascript here.

In general == should not coerce types automatically. Automatic type coercion, even in dynamic languages, is the worst aspect of dynamic typing.
Great write up, thanks for posting. I’ve been thinking of doing this for myself.

One thought that’s haunting: how long before AI friends are more interesting and stimulating than any real person would be, leading people to prefer AI over humans to befriend…

Super stimulus to end all super stimuluses?
Neat. But I fail to see any useful use case for this. As a learning experience it’s greeat though
Hi HN,

I'm super happy to provide TS support today. It has been a strong ask from the community after JS support.

Every rule written for JavaScript will work for both.

Please do let us know if you have any feedback!
I highly doubt you understand the situation as well as you'd like to think.

You're calling for a theocracy, and I assume forced re-education and/or mass murder of non-religious people.
This, in your mind, is the best way to have a stable society? And you came to this conclusion because of the influence of some shitty, middle-brow Youtubers and their click-bait?

Bizarre.