skysight-inc/HackerNews huggingface dataset:
Location: Canada

Remote: Yes

Willing to relocate: Within Canada

Technologies: Python, Mathematica, Linux

Résumé/CV: https://abdullahkhalid.com/files/cv.pdf

Email: hn0423@abdullahkhalid.com

I have a PhD in quantum computing. Was an assistant professor till last year, but left to join industry. Open to jobs in quantum computing, climate change, or data science.
When if ever Go becomes as widespread as either C++ or Python, then we talk
If technical goes to scaling and effects related to scaling, maybe they just decided to let the people with >5m inodes incur the technical penalty, which is almost always speed?

it was always a cost issue, in some sense. If they designed the entire FS model behind drive to have inode limits per entity, then there's a small technology issue bumping that number maybe. Quota systems can be quite painful, in days gone past the Robert Elz Quota model on UFS demanded reboots for some changes, which at scale in a google sized entity is a rolling surface of state change.
I just bought a laptop stand/riser. AU$69 from Officeworks here in Australia, just a basic hinge/arm with a plate on the top. First day using it today as I like to sit in the garden with the laptop vs. in the office with the monitor.

Game changer for posture. I'm looking directly ahead!
Translation:
“something might happen”.
A rolling shutter doesn't cause changes in frequency of the light itself.

The temporal slit appears to be causing frequency changes in the light beam. These frequency changes then interfere with each other creating a diffraction in the spectral frequency (rather than by physical distance as is with the traditional double slit experiment).
Yeah, I'm never without coverage in Wellington on Spark. Even our rural property in a valley gets 50-70Mbs on 4G.
Twitter seems to be broken on Chrome too - at least for some users. I logged out & now cannot log in. Firefox works, but just super frustrating.
A Shure SM-58 microphone, with a XLR soundcard to go with it.

I always wanted to get a good microphone for voice calls, thankfully a friend of mine had more than a dozen of them, of all styles: dynamic, condenser, long range, cheap, expensive, etc... We spent a couple of hours trying them.

First thing: condenser microphones are great... in a studio. You are probably not in a studio, so if you use one of them, people will hear all the noise around you. Dynamic microphones, usually cardioids, are definitely the best as they, are less affected by outside noise. You can even use speakers and not get annoying feedback. There is one inevitable drawback: you need to have it close to your mouth. It wasn't a problem for me, but it is something to consider if you are doing video, because it will most likely be in frame. It also makes aesthetics a valid consideration.

Now, why the SM-58. Well, it is possibly the most famous microphone in existence, for good reasons. At around $100, it is relatively affordable, it is indestructible, it is an industry standard and it sounds good enough for famous singers to use it. There are cheaper alternatives, some of them excellent for less than half the price, like the Lanen TT1, and higher output level too, but I just like the way the SM-58 sounds, and it was within my budget. There are also podcasting mics like the Shure MV7. A bit expensive, sound quality wasn't worth the extra for me, but it has convenient features, and arguably looks more in place in a video call.

And generally, you should get a XLR microphone, they tend to be much better value for money than the USB or Jack type. That's what the pros use, and getting a XLR input is not expensive. I bought a Behringer U-Phoria UMC204HD for a bit less than $100, but there are cheaper options that work fine (and also better, more expensive ones). Note that for dynamic microphones, you don't need phantom power.

Note that these are wired microphones. The wireless kind tend to be prohibitively expensive. You can get wireless kits for XLR though, they start at around $100.
It really isn’t, take WhatsApp as an example. The UI on android is literally completely different to that of iOS.
This is good to know. I have been considering giving Mullvad a try, but getting around geo restrictions is my primary reason for using NordVPN.
I have two circular gel disks to protect my elbows from rubbing the desk too hard (I've put holes in several uniforms). The product is called jelbows.
We should define what healthcare means. For example: if you have a cavity, do they simply pull the tooth or do you get a filling? It's just an example, but health care ranges from "preventing you from dying only" up to cosmetic stuff.
So why not just call it "Our lovely 5 week vacation policy?"

Do you actually prefer the gratuitous cognitive dissonance of calling it "unlimited" when everyone knows it isn't (and everyone knows that everyone knows, etc)?
Why nostalgic ?

Half the country is still living in extreme poverty unless you believe planning commission definition that ₹ 32 / day ( 26 in rural)! is adequate not to be in poverty.

By any reasonable metric for example World Bank's lower middle income baseline of $3.20/ day we would have more than 50% of the country considered living in extreme poverty.
Years ago i learnt about UML at university. The software engineering professor was researching the field named model driven development, i also wrote a thesis about it... the promise is to "draw" diagrams, rather than to write code. I tried many tools for doing that, but guess what, nothing really worked well. When it comes to writing the fine details of an algorithm, code is the most efficient way to do that. Using chatgpt to write code, feels to me like outsourcing, which requires so much explanations and so much testing at the receiving end, in the end the result is not that good and costs even more...
That seems plausible to me. I assume if Adobe felt like even these results were too legally risky they could create a new embedding layer with fewer copyrighted concepts (so Deadpool would always output a spooky looking pool). I don't think that's likely though.
How SerenityOS declares ssize_t
That is much too vague to be useful.
Is the likely threat not just bots going hunting for targets with known vulns?
An ancient 8 channel Mackie sound mixer to the left and slightly north of my keyboard. Other than inputs from the main computer, it pulls in audio from a bunch of other stuff/computers in the room, has a handy 1/4" headphone jack with volume control, and lets me instantly mute/mix any way I want without fiddling with keyboards or mice.

Output is to the CD inputs on a Sony mini audio system I bought on my way through Singapore in 1989.
Interestingly enough, there are also articles out there talking about JPEGs and SQL databases that never mention IBM.
I'm using a SteelSeries Arctis 1 ($69) and I like it overall.
Only minor flaws: the battery life is good but not exceptional (magnetic charging helps), the charge port is micro USB (despite the fact that the dongle is USB-C), the wireless range is good but not exceptional, the shape of the dongle is wide and tends to block nearby ports, but the biggest flaw is the power button which you have to hold down for an eternity to turn it on or off. Everything else about it (functionality, sound, comfort, reliability, compatibility, etc) is perfect for me.

If you want options, rtings.com does extremely detailed reviews with more quantitative information than you could ever reasonably apply to a purchasing decision.
Came here just to mention magnetic charger adapters!

I bought a cheap set off of Amazon, and then realized I also wanted non-USB-C tips as well. While the brand I bought wasn't selling them, turns out that the same factory manufacturing them also manufactures for other brands, and so on like the third page of Amazon results I found another product using the exact same tips, but this time also including other types!
> everyone learned javascript to use nodejs

Wut? It's more a case of "everyone learned javascript to do button rollovers in the browser, and then nodejs allowed them to do more".
On a podcast (Lex Fidman I think), the former head of the AI group seemed to say that Tesla would rather focus all of its resources on vision instead of using some resources on researching, specifying, ordering and calibrating sensors.
What's going on?? Do they start to feel the end so much that they finally start to listen to peoples? Lol
I wouldn't exactly characterize this as "the moment" that it stops being babied. Twitter agreed to the sale a year ago, and the sale was completed last October, about 5 months ago. Plenty of time to accidentally break a dependency somewhere, even if they're not actively developing or maintaining it.
Because no where is that kind of behavior acceptable; workplace included.

Tesla’s role is to provide a safe workplace. Failure to do so deserves penalty.

This is not hard to grok: worker safety is more important than the corp.

Safety includes all aspects. Including mental health.
The Quest for Cheepy: A Tale of Bravery, Innovation, and Relaxation
I’m don’t know… I kind of still hate natural language interfaces.

> Perhaps the API will simply be a text prompt. You will in natural language simply ask for the data and then an AI that lives in your application will understand that, convert it into an SQL statement and then return the data to the UI.

I know the benefit here is that you don’t need to understand how a relational database works. You just ask a question and it answers it with SQL as an intermediary. But now it’s just an ORM? But a weird one where if you frame the question with different pronouns or punctuation it might be different?

I still feel like, if you want text as an input, a DSL is always going to be better than a natural language LLM input just for consistency’s sake.

At least let me have a SQL input, and a helpful GPT-4 assistant I can ask for help writing SQL.
I eventually ended up switching fields to ML (and that's my current day job), but I started out as an undergrad studying psychology/cognitive science. During those years I started a research project on what is called the "feeling of knowing", or FOK for short - a subtopic in the broader topic of "metacognition" in cognitive science. The FOK is closely related to what is colloquially knows as tip-of-the-tongue phenomenon - basically, that subjective feeling that we know something, whether or not we can actually recall it. There's some interesting aspects to it. For example, the FOK is generally pretty accurate (but not perfect, of course). And it tends to be more robust than actual memory; as we age, for example, we tend to be better at judging than we know an actor's name (and confirming it once we look it up) than recalling it. It seems like LLMs have very little in the way of metacognition, and just confabulate if they don't know something, as we've seen. I'm sure we'll be seeing some efforts to give some analog of a FOK to LLMs in the near future.
https://archive.is/diMD9
We now need to describe APIs in terms that a large language model can code to.
That's going to be interesting.
I have an XP-Pen as well. Works great in Linux. I'm still amazed at how high quality these non-Wacom tablets are today. I had one of those cheap 6" Wacom Graphites back in the early 2000s and that was the best you could get. My XP-Pen blows that thing away. Still haven't found a great place to put it though. I'm just stashing it off to the side but it's awkward moving it around all the time.

If you're on Linux, Gromit-MPX is a great companion app to annotate anything on your desktop. https://github.com/bk138/gromit-mpx
> What that requires is a well informed, well educated population.

Isn't this very uncommon, in addition to the need to be at least somewhat compassionate (e.g. in regards to issues that might not affect individuals personally, but that affect minorities, or simply those who are different)? A certain social cooling might be needed in many societies, less extremism, less identity politics, less hate.

I don't think we live in such a world, yet.
I’m way out of my area of expertise here, so posting this comment mostly in the hope to solicit someone who is more knowledgeable to expand on it…

A commenter on a previous post a few months ago pointed out that different countries/legal systems have different approaches that I think they may have referred to as punitive vs restorative? And even in systems with both, certain classes of crimes may only be able to approach sentencing from on of those approaches. Which can mean the outcome is more about making the aggrieved party whole again (with potentially a little extra for the inconvenience). It leaves no room for the kind of very very large outcome that acts as a signal to the defendant and any others to not break this law again.
Or the Cloud Appreciation Society
I have one of the first batches and I just recently bought a 12th gen and I can say QA. Is definitely noticeably better now vs the early batches to the point I would say it is on par with other mainstream offerings (while being way more interesting)
It could be a ruse for folks to get rehired.
Amazing how we inherited concepts in philosphy, politics, art and other areas FROM A CIVILIZATION THAT SHOUTED IN CAPS.
Mounjaro Could Eclipse Ozempic as the Most Powerful Weight-Loss Drug
Been reading that book Androids pretty cool
Those statements don't come from the base model, they come from the steering methods, basically a form of hand tuning after the model is mostly trained, which the paper says are relatively crude and imperfect. It is the fact that these models are so unpredictable that led to these attempts at steering.
Resource Forks
There's AMD Instinct series, MI50 (32GB) goes for under a 1000 EUR where I live.
Silicon Valley Is Beating Washington to China Decoupling
The expressive aspect is an important one I think! It’s hard to know what you CAN do when you just get given an empty text box.

I don’t want more mile-long “what can I ask” example query lists from the Siri/Google Assistant/Alexa era.
from the reddit comments:

> I bought it and it was removed off of my account. I paid money for a feature I never got. Anyone else get this?

It look like a very bad experience. if i were him, i would issue a credit card charge back
Location: SF Bay Area
Remote: Yes, or hybrid
Willing to relocate: No
Technologies: Python, C++, Machine Learning, Recommendation, PyTorch, Java, Data Pipeline/Infrastructure
Résumé/CV: https://drive.google.com/file/d/1tkKZNm3pdMYcK6UQ8piUJS_RN0k595Q8
Email: yifeichan26@gmail.com
Software Engineer at Meta working on video recommendation with 7+ years of experience looking for machine learning or data infra positions.
Actually Microsoft still provides tools for the kind of development you mention. See more here:

https://learn.microsoft.com/en-us/power-apps/maker/model-dri...
> I hope the author can clarify their choice of phrasing in their work

From TFA's conclusions section:

"Open debates over whether we describe LLMs as understanding language, and whether to describe their actions using agency-related words like know or try, are largely separate from the questions that I discuss here (Bender & Koller, 2020; Michael, 2020; Potts, 2020). We can evaluate whether systems are effective or ineffective, reliable or unreliable, interpretable or uninterpretable, and improving quickly or slowly, regardless of whether they are underlyingly humanlike in the sense that these words evoke."
I was curious about the 30min limit for G9. I thought it was from overheating or something. I had A7R3 didn't think about 30min limit (don't think I ran into it) can't recall though.
The main point is that their jobs as they knew them are effectively being taken out from under them.
It sounds more akin to a drop capital. https://en.wikipedia.org/wiki/Initial
Can you or someone explain why so many Brits want to watch UK television from abroad?

I’m French living abroad and have never missed French TV. The quality of the content is just very sub-par compared to American shows. They just don’t have the budget to compete. Is the UK different because it’s English speaking and perhaps it has access to a wider market and thus more capital?
There are some interesting ideas here. I’ve had similar thoughts. For example one of applications I work on involves interpreting a response with possibly thousands of fields. It is used to answer many related questions. It has been impractical to tailor the way this data is presented to just the questions the user is interested at that moment. I think an LLM could help understand what the user is after and how to get the answer out of the pile of data in the response. Chat is pretty painful though. Maybe a suite of canned prompts with a fallback to chat could work.

The idea of using an LLM to render a UI on the fly seems interesting as well. But I also imagine it’d be niche due to the cost of running an LLM. At least for the foreseeable future.
9. With millions of people copying, pasting, and running code written by LLMs (often students who have no idea what the code actually does), it will be impossible to keep an intelligence that surpasses our own 'inside the box'.
Values for work-related injuries are far lower: [1]

[1] https://www.yourlawyer.com/library/workers-compensation-body...
https://reason.com/2009/09/28/hoosier-grandmother-arrested-f...
Don't use distributions that are stuck with older versions of libraries that are under a ton of active development. Wayland on Ubuntu was okay for me, but running up-to-date Wayland and Pipewire libraries fixed the issues I was having with the distribution's Wayland support.
They don't "give" them those jobs.

They make them execute a stressful performative action (i.e. the whole groveling process of applying for a job, all over again) which they might very well fail.
https://www.youtube.com/watch?v=-xVufYXaGg8

https://www.youtube.com/watch?v=GvtNyOzGogc
Why assume it didn't?
In the previous thread, you attempted to construct the argument that high-status Asian families somehow endorsed corporal punishment; in fact, they are among the least likely cohorts to do so. That there is a huge diversity of different Asians doesn't do anything to rehabilitate your argument.

Nobody should hit kids. This is a bad contrarian hill to die on.
Sodium ion batteries will change this equation. 150 wh/kg, not even lithium is needed.
>LLMs do not think, they do not understand, and they do not form judgments. They do not come to their own conclusions. They do not have the physical capability. They are statistical models, nothing more.

"LLMs don't reason because they don't understand" is not the bastion of genius you think it is. It's a circular argument that relies on whatever bespoke interpretations you have cooked up.

They don't form judgement or conclusions? Sure looks like they do. So what's the difference ?

What is GPT-4 doing then when it correctly looks like it is reasoning and what's the difference between that and "real" understanding or reasoning.

Such a huge difference I should be able to test for it. Don't understand how you can tell me what I'm seeing isn't real reasoning but fail to provide a way to empirically determine the difference.

>Uh-huh. Sure, Jan.

Yeah. https://arxiv.org/abs/2212.09196
Many other evaluations to carry out.
I just released something like this embedded in a browser extension. Except the prompt
includes a TypeScript interface that GPT4 is asked to follow. Works very well and reliably uses tools like Calculate, RequestDOM, etc.

https://github.com/cantino/browser-friend
There was a recent video on YT, risc-v camera hacking, pretty cool, guy was able to compile/run c code on it via serial
Use it if you like it or if you’re curious. However, Linux is the most popular Unix-like these days and sees much more investment and development.
Well we are the apes/monkeys that could?
As a daily driver of hydrogen fuel cell vehicle I experience that today, if I can manage with just 45 pumps in all of California some constantly broken down, and still do 15,000 miles/year it should be fine even if many pumps disappear.

Gas stations may become primarily supercharger points, and pump maybe in one corner as a legacy, i doubt it would completely disappear as long as old vehicles still ply the roads in numbers.

From public transit to government subsidy for people economically unable to make the change there are many policies we can effect to solve this problem. Indirect subsidy of Gas[1] should not be one of them

[1] Without a carbon tax on emissions we are all already effectively subsidizing the costs of climate related economic impact of floods, droughts, forest fires so on.
Location: London, UK / Auckland, NZ / Sydney, AU
Remote: Yes
Willing to relocate: No
Technologies:
Full-stack dev/product designer who is very comfortable with code - HTML/CSS optimisation/perf, JavaScript/TypeScript, product/system/visual/service/UX/interaction design, Figma/Sketch/etc, design systems, React + other frameworks, Ruby/Rails, Node, Python, Go, Rust, Zsh, Git, GitHub (built big parts of it!), Perl, Docker/Heroku etc, Chef/Puppet/Ansible, SQL/Postgres, R, security/cryptography/penetration testing, ML/AI/NLP Stuff™, Analytics/Data Science™, People Management™/coaching.

Résumé/CV: https://www.linkedin.com/in/cobyism

Website: https://cobyism.com

GitHub: https://github.com/cobyism

Email: cobyism [at] pm [dot] me

---

Quick TL;DR:

• Building products for the web for ~20 years — remember frames? spacer gifs? CGI? ActiveX/Flash? I do ^_^

• Product design at GitHub - My claim to fame is that while on the core team as an IC (~2012–2016), I was the 13th highest overall contributor to the github/github codebase by commit count.

• Product design at Intercom - First hire for London office, led major redesign of Messenger, led design of first ML-based chatbot product.

• Coach for Seth Godin’s altMBA

• Various adventures since pandemic/onset of apocalypse.

Seeking full-time roles, ideally focused on ML/AI space (although open to other areas, e.g. climate change, OSS/open data, web3, etc). Excited to help shape/design/build the infrastructure which will soon be at the core of how AI (and other high leverage tech) shapes the world. Especially keen to speak with anyone focused on AI safety/interfaces/governance.
Come back in a few years, when you’ve written software at this scale and at this velocity. I’m interested to hear what the experience has to teach you, and to see how you grow as an engineer beyond this kind of uninformed nonsense.
Computer viruses in the future really will be ‘ghosts in the machine’
Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
I am mainly familiar with AWS but the configuration of S3, lambdas (including creating layers for python dependencies), api gateway, cloudfront, and all of the obscure permissions are just a major pain in the butt. I spent maybe 5 hours building something in Jupyter and then an entire day just dealing with AWS.

Is there an easier way? If I gave you a python script and some html what would you use to get it behind a www in the least amount of time possible?
This is the problem with non-operational definitions, because now we need to know how you define "think" and "understand" and "form judgments", to move on.

Instead, could you operationally define "reason" in a way that a human is, say, 90 % likely to pass the test and GPT is 10 % likely to do?
I'd guess that YC advised them to launch now, maybe to get the idea in front of any people (employees, advisers, customers, etc) who could accelerate the concept.

And YC would be betting that their experience counts for something beyond just a random person with a weekly idea:

"We are hardware engineers with over two decades of experience between us, working at Tesla, SpaceX, JPL, Relativity, and some startups."
From the OP's blog, his thoughts on AI safety:

https://wp.nyu.edu/arg/why-ai-safety/
Should it also include a section on the history of csv?
Their explanation of the 5M limit is because of inode limitations when they materialize the content via the companion client?