skysight-inc/HackerNews huggingface dataset:
Got it, thanks.

Each pod has a limit to how much data it can store. We want to give an example of how many vector embeddings you can store in a single pod. Since the data size is affected by number of dimensions, we have to choose a sample dimensionality for the example. We chose 768 since that was the most common last year (SBERT), although it might make sense to change it to 1536 (OpenAI).
The real hard problem in CV (and science in general) is bad papers that omit useful info.

Segment Anything requires an image embedding. They report in the paper that segmentation takes ~50ms, but conveniently leave out that computing an embedding of an image (640x480) in their model takes ~2+ seconds (on a 3080 Ti). Well, at least they released all the code and model and enough instructions to figure that part out.
Excellent! Thanks :)
To add to your point, surveillance is a key component in such a system, since "undesireble" behavior can quickly be detected and punished. The current zero-privacy interfaces are a huge step in the wrong direction.
"Invented the miniskirt" -- really?

https://en.wikipedia.org/wiki/Egtved_Girl#Gallery
> Using Rust afterwards was great, plus it was faster than the BEAM. I guess, why not use Rust entirely instead of as a FFI into Elixir or other backend language?

Sure, you just need to reimplement light-weight threading with preemptive scheduling prioritizing latency over throughput, extremely robust fault tolerance with a supervision hierarchy, and runtime introspection with code hotloading capabilities. Maybe you could add frictionless distributed system support as well.

No big deal, why not right?
Not only that, but it makes not much difference if they call the GPT Api directly or through a proxy. Only thing that eould really help is having users register and authenticate through the proxy.
I admit for a long time this was my primary motivation to learn Rust, but, sadly, I haven't come across problems in years that were CPU bound/where I needed something like Rust... Rustler still looks like a great fit if needed, but, depending on the use case, if I were CPU bound and needed to write my own code/not just use a Rust library, I'd be as or more likely to look at using Zig and Zigler[0], for much faster learning curve, and from what I've read, easier tighter integration into elixir, including I think language server integration. Some discussion here[1] though I forget if I listened to this one or not.

[0]https://github.com/ityonemo/zigler
[1]https://podcast.thinkingelixir.com/83
Small bits of fashion, anyway.
> and certain types of regex handling that vim can do better

Hi, emacs user here, can you elaborate please.
I'm coming up on 6 years in Seattle. Lived in SLU or Denny Triangle (parts some people consider "downtown") the entire time. I've learned to just largely ignore the incredibly negative comments because my experience and the experience of all the people I know who live here are vastly different. While the city still has its problems I would like for people to approach solving them from a realistic point of view.
As an owner of solar panels, I agree - prices were negative today in the Netherlands and I made money by delivering electricity to the grid. Solar panels are extremely easy to disconnect, but this is only done at big commercial sites due to net metering
After decades of lurking, an elusive bacterium finally strikes in California
I think this is inherent to the technology itself. It's a black box the owners can tweak but the users cannot and the users are expected to trust it at face value.

It's the idea of going to a corporate entity's black box in order to know how to live. It's a blind trust that is truly blind.
easier to learn about this at https://aws.amazon.com/bedrock/ rather than bi article.
I think there is true emergence coming from these newest large language models, which is something that can't be captured by reducing the system to merely a mathematical Plinko machine. To understand emergent behaviors, the system really does need to be treated like a black box and experimented on.

And a secondary point, what if a large fraction of our intelligence comes from language, not the other way around. If that's true, then we might be well on our way to building the spark of an AGI.
>Key metric: the more words & fine distinctions you have to use, the weaker your case. Your knowledge of how executive agencies work comes from what?

That's not really true. While "brevity" may be "the soul of wit[0]," making a point may require elucidation, since details actually matter.

And short declaratives (like the one I'm replying to) elide most, if not all, nuance.

If you reduce everything to a soundbite (or a tweet, for that matter), you miss out on the nuance and complexity of most things.

Just sayin'.

[0] https://literarydevices.net/brevity-is-the-soul-of-wit/
Kind of. I’ve been using it, and it gets stuff wrong (hallucinations) or it just doesn’t know about things (I.e. the new additions to GameLift).

Granted GPT is what I use to do this now. But I’m also ready to see what focused, tailored AI would be able to do.

P.S. if any Amazon engineers see this and there is indeed a focused AI in the works, I would love to be a pre-alpha/alpha tester. I am willing to provide useful kind feedback.
But there are so, so many things abstracted away from our need to understand them.

People a 120 years ago had to memorize trig tables.

People 60 years ago had to learn how to operate a slide rule and understand how to handle accuracy.

People 30 years ago had to learn how to do algebra and calculus.

People 10 years ago needed to know how to set up the equations to ask Wolfram Alpha to solve the problem.

Today, we're closing in on being able to say, "Draw up plans to build a mixed-use building on this plot with at least 20,000 square feet of retail and 60 residential units." And getting back an answer.
> India is pretty much a socialist country.

I take this as an example that anyone that uses the words "socialist", "capitalist" and "fascist" in derogatory terms doesn't have a very good understanding of what these words mean.
Looks like they peppered in some weird projects in there as well. I'd have expected some "hard software engineering" projects as well, but I guess not everyone is ready to be a spokesman for github's view of the world.

https://github.com/EddieHubCommunity/LinkFree : "Your profile will have links to your social media and content. You can also add your timeline, testimonials, and upcoming events that you are participating in."

Sounds lame. Is this really worth including in this list?

https://github.com/JessicaTegner/pypandoc: "Pypandoc provides a thin wrapper for pandoc, a universal document converter."

So random. Why not support pandoc instead?

It seems like a political statement by Microsoft. The list only has "trendy" stuff, carefully moves around any and all "AI" stuff, and none of it seems experimental at all. If I didn't know this was "Github Accelerator" and was shown the list, I'd have assumed this was some VC's list of prospective Open Source programs that could turn a penny or two down the road.

It seems pretty obvious to me that now that Github has cornered the "open source" market, it's on the "Extend" phase, looking to change how Open Source is approached.

https://en.wikipedia.org/wiki/Embrace,_extend,_and_extinguis...
They really brought a heavily armored vehicle and came guns blazing to arrest this guy, lol
I don’t know anything about Mission Local, but
reading of the article prior to reading your comment left me with the impression that the author was really invested in this being a targeted killing. The first part of the article started strong, and then it felt like the author was grinding a political axe, though I’m sure it’s in response to other articles grinding different axes. It was a well-written article to be sure, but I guess I’ve grown weary of motivated journalism.
Where are future devs experienced with the company's code supposed to come from if not new hires?
> Apparently the motorcycle+miata crossover is huge.

Going fast is all about power/weight. Some gear heads love changing the numerator. Some realize that the best option is to change the denominator. :)
For some developers, this is sort of intentional. The reason is at least twofold:

1) Calling OpenAI directly is one less hop, so user gets lower latency

2) Not having to set up / maintain a backend server = get to market faster

There are some very popular GPT apps recently that are obviously putting their API keys on the client side - won't name them but they've been featured quite a bit.

The downside is not as bad as people think. Worst case, someone takes your key and what, plugs it into their own app, costing you a few bucks?

- OpenAI keys have a hard budget limit that requires manual approval by OpenAI anyway

- Not much privacy risk - unlike other API keys, OpenAI APIs don't allow you retrieve previous data AFAIK. There are some APIs to fine-tune models, but I seriously doubt any of these consumer apps are doing this now.

- You can just create a new version later and revoke the old key. And now you've broken the thief's app.

My guess is the developers were well aware of the tradeoffs. Just felt it was more important to get to market faster, than to batten down all the hatches. They're probably right?
https://github.com/juanfont/headscale/releases/expanded_asse...
Making a new account to post a pithy pedantic negative reply is usually a indicator of irl issues that need to be addressed. The parent is not wrong in his point that comparing vi to emacs is the proverbial apples to oranges. They are different types of tools
Sure, you can do that for the code you write, but you can't for the code you call. Any Erlang you write or call will have this property, and most of the ERTS provided C code will as well; either it's trivially finite, it is designed to yield during the work, or it's neither but it hasn't triggered anyone to fix it, with occasional deviations of things that become known issues (like -- was for some time; although it got fixed twice and is now fairly ok).
Nice improvements! I'd be interested to see how much overhead tailscales magicsock adds and what a flamegraph after the change looks like. Mostly crypto or still a lot of networking syscall time?
Ad revenue always drops when we go from QE into rising rates and preparing for a recession. I think paying a small fee for social media is fine, but not this hot garbage. It should be like paying for phone service, and no ads, no algorithms, no a manipulation, just reliable service.

Unfortunately, Elon Musk may turn the entire industry away from this if they see Twitter crash and burn while trying to implement it.
The TV show Humans is what, 2 years old now, and one of the main characters was worried they were not needed by the future because robots would take all the jobs.

Now IRL, there already is a steady stream of anxiety & angst, regular questions of "why would I bother becoming a coder anymore, since all the jobs will be wiped out by AI?"

To me it's an indicator we overly mythologize these things we cannot know. We not just believe the hype, but we amplify it enormously.

After Zuboff's Age of Survelliance Capitalism, Cory Doctorow's put out a response position that while the book is great, it 100% accepts every capability these folks say they have to completely reprogram human behavior, and it takes it further.

This tendency to assume technologies have high oracular powers, to- even when we are critiquing (Zuboff)- assume the system is at least if not vastly impactful & powerful than the claims... it's a savage problem for society, a nature of people & how we view the unobservable unexplained world as mystical & overaweing. How we dampen the hysteria is beyond my guessing, atm.
What is ChatGPT's personality type? [video]
GPL applies to a single program: https://lists.gnu.org/archive/html/emacs-devel/2021-10/msg00...
I'm in the same boat with Elixir. I love many aspects of the language, but it borrows the fast-and-loose type ecosystem of ruby.

nil is an especially big problem. Any value could be nil, and this will absolutely bite you over and over. nil even allows you to use square brackets for some reason (some_nil_value[:some_key]) which is a great way to disguise the actual issue.

There is optional type checking with Dialyzer, which is good but has some problems. The warning output can be really hard to read, and unless you're diligent in using it across most of your project, it's not very useful, because you'll end up with 'any' values all over.
That neighborhood isn't really known for homelessness unlike other areas of SF.
Yeah also got some odd behaviour from the site.

Host wasn't my choice...just sharing the links
I had a brief look at the open positions listed on your website. The only (pure) SWE role that doesn't require a degree in electrical or aerospace engineering seems to be this one:

https://spacetech-i.com/career/open-positions/jobs/software-...

?
I got downvoted at the time, but Bob was heavily involved in launching Cash app which was exposed a few weeks ago as having inflated numbers to investors and been grossly negligent in policing their users many of whom were using the platform for crime. It's entirely possible that Lee was either mixed up with bad actors and/or pissed off some bad actors by providing details for the story. Obviously this is speculation too but it seems at least as plausible as it being truly random.
And that milk and beef is delicious.

I understand you prefer something else based on your comment and I accept it. I suggest you try the same with others.
Pulumian here - this is something I'm working on and hopefully we'll have more to share soon.

We're in a good position here in that our providers have rich schemas: https://raw.githubusercontent.com/pulumi/pulumi-kubernetes/m...

However our larger providers, primarily cloud platforms, have schemas much larger than the context length of the model. So the trick is scoping that down to the necessary & sufficient amount of data into a prompt, whether via plugin (not yet available via API), preprocessing the prompt, or using a langchain-esque approach.

As Károly Zsolnai-Fehér[1] says, "what a time to be alive!"

[1] of Two Minute Papers fame: https://www.patreon.com/TwoMinutePapers
I'm aware of such, but as it stands using ChatGPT is like talking to a person who's afraid to stop talking. Such people just keep yakking in a sort of continuous improve that constantly prompts itself. Ask such people to sit quietly for five minutes and they'll start to lose their minds and exhibit "self-stimulation" behavior, probably to distract themselves from whatever their inner monologue might say (or so I assume.) I don't mean to suggest that ChatGPT is actually working in the same way, but the result is qualitatively similar. A lot of words with relatively little substance. Details invented wherever necessary to keep the flow going.
They don't really go into the terms of the allowance, but if use it or lose it encouraged some just to go to the movies and eat at a cafeteria a few times a week from now on, it would probably have a better effect for a lot less money than most of the attempts at social programs I have seen.

Whether it is used is probably also a helpful metric.
Is he on hormone therapy? I guess when you're a billionaire the doctors mix you up a good cocktail.
This time is definitely different because its the executives talking about seriously in way that's a first for me in my current role.
LLMs demonstrably model their training data, which has a correspondence to the structure in the world captured in the data[1][2]. This goes far beyond just searching a database for the closest relevant response. The question is what does that mean regarding understanding? I go into that in some detail here[3].

[1] https://arxiv.org/abs/2210.13382

[2] https://twitter.com/leopoldasch/status/1638848881558704129

[3] https://www.reddit.com/r/naturalism/comments/1236vzf/
I do. Tons of people do.

As for new stuff, this is how I generally do it:

Interact with friends and others near me. We trade all the time, recommend all the time. This is my long standing favorite.

Community discussion. Here, for one. This is a strong second.

Search, and now it may appear a GPT entity may well serve me up stuff I am going to like and need.

See what "the feed" has in it.
I remember when a government employee leaked information obtained from a phone call between the President and another foreign leader (long before said foreign leader became an internationally-recognized household name…), and nearly everyone in government was afraid to reveal his identity due to "national security".

now we have intelligence agencies leaking the identity of a government leaker to media organizations in order to publicly out him, by name.

how times change in a few short years, depending on who is in power…
> That’s like saying every Tesla owner should be able to program their own car! Let’s open the source code of Tesla to every owner!

Other critiques aside, these things are not very similar. You can't run someone over with a buggy recommender system. You bork your own newsfeed, who cares?
Probably not a UWaterloo recent grad who is good at programming competitions and has just been hired onto a random product team at Google.
just wondering - have you tried CDKTF ? what do you think of that directions
In the same meaning of the word, yes. That's what an interrogation is: take a person who understands that they should not do or say certain things, then get them to say/do those things anyway. Works every day.
‘I’m all for climate change’: Axel Springer CEO faces heat over leaked messages
No, they never were. We had no relationship with them until now.

Source: I'm a Windscribe co-founder.
I wouldn't be surprised if by making code 5x cheaper to write, aggregate demand for code goes up by at least 5x, and possibly more. The history of computing is full of technologies that made it cheaper to create software (compilers, debuggers, high level languages, version control, increasingly powerful hardware, widely-available open source frameworks, etc...) and as programmers became more efficient and effective, the scope of problems they've been tasked with has kept growing. I think there is a good chance that LLM coding assistance will be a similar story.
The disadvantage being that you have to have $300,000 cash upfront to just live.
> exactly to spec

And that spec is?
You say this as if people aren't working on finding a cure for baldness. Of course they are, the profit motive is certainly there. The demand for such a cure is incredibly high.
I'm a little surprised time-of-day doesn't figure in. When I was a Twitter user, I got different kinds of tweets at night than during the day.
The one thing that I want from all this AI voice stuff is better selection of voice for the siris and alexas out there. i.e. Ability to clone some's voice onto an assistant

Some voices are just more pleasant than others & it differs by person doing the listening
Oh I don't buy this "dark and immaterial" argument. There are many physical processes that seem magical to those unaware, and having access to the final product may reveal nothing about the processes used to make them.

As an example consider gunpowder. Having the finished product doesn't provide any insights into how it was made. It requires, what is now basic, but what was once, a pretty strong grasp of chemistry.

Another example is antibiotics. These life-saving drugs are almost exclusively created by for-profit corporations, yet despite over a hundred years since their invention, they remain easily accessible and some would argue too plentiful.

> Nothing like this exists, this is unprecedented entirely.

The above examples illustrate that life-changing inventions are par for course in human history and represent the cornerstones of the betterment of our species.
That sounds great! Could you share a link or a screenshot please?
Engineering Manager for the Pulumi Cloud here.

We have an equivalent of Atlantis called Pulumi Deployments[1]. The benefit of the Deployments platform is that it is entirely API driven. In addition to defining CI/CD and deployment in configuration/code, we offer APIs that let you do this programmatically. Great for platform automation where you are setting up hundreds or thousands of stacks.

In addition to `git push` workflows, we also support other deployment triggers such as a REST API. This is pretty unique, and let's you do things like build RESTful infrastructure APIs [2] ontop of the deployments platform.

- [1] https://www.pulumi.com/blog/pulumi-deployments-platform-auto...
- [2] https://github.com/pulumi/deploy-demos/tree/main/deployment-...
The average American drives 40 miles per day. A car with 150 mile range gives the average American 3 days of driving while keep 10% <= battery charge <= 90%. That's not bad!

The average EV consumes 34.6 kWh per 100 miles, so a 52 kWh battery is sufficient, on average. The average home charger provides 7.2 kWh so it'll take under six hours to recharge the car at home. You can do it at night when favorable rates are available. It'll add an extra 72 kWh hours to your utility bill for the month. Even in the most expensive part of the country (USA), the Northeast, you're only going to pay $1 per day. And I could get it for under $20K? Sign me up!

If BYD/Toyota could bring such a car to the American market then it's game over for the compact and subcompact market.
We all know GPT is going to improve, the question is how much and when.
Some strategics advisors are saying we might not even need the existing engineers to maintain current levels of productivity.
It has to have been... 16 years ago. Oof. Time flies.

The post-bacc folks ranged in age from late 20s to early 40s.
Yes.

(Not OP, but the answer is yes)
More than you'd think. You're more likely to be murdered by someone you know than a stranger. iirc it's something like ~55% chance of someone you know, ~25% chance of a family member, ~45% chance of a stranger (which could be anything from drug deals gone bad to serial killers).

You can delve into the data but but the format isn't the same for every year so it might be some work to normalize: https://www.fbi.gov/how-we-can-help-you/more-fbi-services-an...
> pay wholesale price so that the poor who can't afford panels aren't subsidizing the rich

The poor are already heavily subsidizing the rich for both electricity and water via base charges and fees. Imagine a poor household of 800sq ft with nighttime open windows for cooling vs. a 4500sq ft rich household with always-on AC. They're both paying the same base charges and fees, artificially lowering the cost-per-kWh of energy. While the rich household is using 10x more electricity, they're not paying 10x as much. So the poor are subsidizing the rich. The greater the base charges, the more money taken from the poor and given to the rich.

Moreover, this scheme financially disincentivizes usage reduction, as the savings on the bill don't properly track efforts made by the resident. You can (and should!) reduce your usage by 50%, but you won't save 50%.

So in short, base fees move money from the poor to the rich while financially disincentivizing reducing energy usage, thereby accelerating climate change.

We need to do the opposite by removing all base charges/fees and protecting net metering. We have to financially incentivize actions that allow us to have a future.
The timing of this seems more like an attempt to stay relevant rather than some concrete milestone