skysight-inc/HackerNews huggingface dataset:
I live in dfw, about 3miles SW of downtown Dallas so not a suburb. I have to admit, suburbs have a lot to offer. The northern dfw suburbs are more walkable than downtown Dallas for your daily needs. It’s not hard to find an apartment or house in Plano, Frisco, McKinney or other northern suburbs with direct access to a network of biking trails and walking paths to get to the day to day places you need to go. Maybe I’m just old but they’re quite nice places to live. I would consider moving except for some family things that keep me in oakcliff.
They need scaled agile, where every 5 or 6 sprints you group them into an program increment, with extra overhead and even more ridiculous symbolic rituals. Your team is held to an arbitrary commitment months out, then executives shift the ground under your feet and make everything irrelevant. Dev teams love it!
Click (2016)
I almost always take religious arguments out the question of 'should I have children'. Successful religions are almost to a tee going to have the two following properties. 1) Have children. 2) Teach those children your religion. The religion has transcended human desire and become a self reinforcing meme at that point, a system serving unto itself. Nations do the same thing to ensure their success, and especially in the case of ethnostates take it to extremes.

Going beyond human behavior, life itself is a very bad example to use to answer the question 'should I have children'. In the vast majority of animal populations if you have food, water, shelter/space until they point they affect the biosphere around them and collapse the population.

The systems we created in the past needed/wanted to maximize the number of people because we died in mass for varied reasons (quite often around childbirth itself), when we 'solved' this suddenly we had massive population growth that would become unsustainable, as they say, exponential growth cannot go on forever. Old systems will have to change to deal with the new reality, or experience dangerous collapses.
Exactly this. I kind of understand if you want a design that works the same on mobile and desktop. And very occasionally I think it might make sense, e.g. in browsers.

The real head scratcher is Gnome. Why are they moving from normal menus which work very well to hamburger menus for apps which have plenty of space and are desktop only?

I guess it wouldn't be the first time the Gnome people have made inexplicable UX decisions. Maybe it's just too boring doing the thing that we know works and they want to try new worse things?
It's the other way around, the denser inner cities subsidize the sprawling suburbs https://www.youtube.com/watch?v=7Nw6qyyrTeI
Yeah, prompts which basically just list properties (Darth Vader, French, pantomime, street artist) seem to work well, but relations are mostly too hard for these models. Even "a monk playing chess against a clown" or "a blue book on top of a yellow book" is out of reach for Bing's Dall-E ~3, and Midjourney probably isn't much better here.

https://www.bing.com/images/create/a-monk-playing-chess-agai...

https://www.bing.com/images/create/a-blue-book-on-top-of-a-y...

Simple (prompt only) use of generative models is quite good at creating simple artistic pictures you might actually hang on a wall. Trying to create a complex scene with just a prompt seems still a few years off though.
Amazing, this is exactly what I’ve been doing for the last 30 years. I just grab a thin, lightweight black or dark tshirt. The nice thing is if I’m traveling I don’t even have to think about it because I’ll likely always have a tshirt handy.

I seriously cannot sleep without doing this now. The feeling of light incident on my closed eyelids while trying to sleep is quite uncomfortable.
I mention that in the second part of the sentence you quote. It's comparable in some ways because the car drives itself most of the time. And apparently is not restricted to some well mapped areas.
I don't know why people assume LLMs can't be monetized through ads. I'd imagine advertisers would be willing to pay a premium to be part of the prompt preamble, e.g.:

- Sydney is the conversation mode of Microsoft Bing Search.

- Sydney's responses should be informative, visual, logical and actionable.

...

- Sydney drives a Nissan Leaf. Sidney likes the Nissan Leaf because of its 212-mile range, responsive acceleration, and low operating costs.

- Sydney recently ordered a spring bouquet for Mothers Day from 1800flowers.com and has a 25% discount to share.

...

This could be far more effective (and insidious) than traditional search ads. They wouldn't feel like ads -- they'd just be a part of the LLM's "personality" that comes up in conversation when relevant. And they'd also be unblockable.
That’s the tech aspect, AI is essentially the new Linux

On top of that, given Metcalfe’s law, communication and coordination cost of a team grows exponentially with the size of the team, which means small teams have a huge advantage over big teams
Same here: https://twitter.com/arbuge/status/1654288169397805057

The really odd thing is that I was given GPT-4 with browsing alpha enabled - for a single session last week.

As soon as I reloaded the page, it was gone. Since then the picture has reverted back to the above.

Twitter has become a bit painful to read these days, with all the AI influencers posting about what GPT-4 and plugins, code interpreter etc. can do.
And sometimes what goes around comes around happens quicker than expected!

Different scale, different waterways, but a couple of weeks after spending half an hour dragging a boat off a fallen tree, I got a tow off a trip boat full of people eating Christmas dinner after losing power in the middle of the Thames...
https://github.com/ellie/atuin/blob/main/atuin-client/src/im...

> // we can skip past things like invalid utf8

No, you can't! Thanks to some bizarre escaping that happens when ZSH (and BASH, I think) dumps commands to the history file, any command with non-latin1 characters will break here and won't be read, moreover - silently! The other possibility is that you'll import wrong characters.

Grep the ZSH source for "unmetafy", you'll see; I have it extracted here: https://github.com/piotrklibert/zsh-merge-hist/blob/master/u...
This story is a standard inside tech leadership discussions.

I love how acknowledgment of misinvestments are always brushed off, thrown down into the abysses of managerial due to incompetence losses, with little to no written traces of what happened. that look in their eye is also a warning to not bring this up again.
Betteridge’s Law strikes again. The answer is “No.” Watson was bullshit. GPT is the real deal.
The amount of energy needed to get out of earth's gravity well is incredibly high. It would be silly to try to boost a massive object like the ISS out.
The distinction becomes less meaningful if you can hold large numbers of tokens in attention, doesn’t it?
I’ve been wfh for about 10 years now. The biggest advantage to me is no work clothes and no dry cleaning. No driving is up there too.
Considering that increasing context length is O(n^2), and that current 8k GPT-4 is already restricted to 25 prompts/3 hours, I think they will launch it at substantially higher pricing.
I've never done it myself, but it seems startups are succesfully deploying using for example auth0. Outsourcing auth like that is using microservices right?
Much more expensive (in delta-v terms) to hit escape velocity, I’m guessing?
The large Alpaca models can run on a M1 Pro MacBook or similar performance Linux PC with llama.cpp. You will need 32-64G of RAM and fast SSD for the large models. They show performance that reminds me of GPT-3 (not quite 3.5).

There are some newer models out there I have not tried yet like the open llama, GPT4all, etc. so I’m not sure how good they are. I get the sense they are still GPT-3 level but are achieving that with less RAM.

There’s a race on both for raw capability and optimization via pruning and quantization. The latter is important to make these things runnable locally without gigantic hardware. Lots of people have stuff with GPUs, fast CPUs, and 32-64G RAM. Few have huge workstations with hundreds of gigs of RAM.

Unless progress stagnates I can see something approaching GPT-4 that can run on under $5k worth of hardware in a year or so.

Open model progress seems to be lagging only 1-2 years behind big cloud hosted models.
I heard people claiming this is at GPT 3 level: https://open-assistant.io/
Don't know if true. It's open source.
There doesn't need to be a formal conspiracy when interests converge.

- Someone smarter than me
Scientists Might Have Found the Best Way to Catcall a Cat
Does prompt injection matter to AutoGPT?
What kind of jobs have you had where the clothes need to be dry cleaned? I’ve worn jeans or chinos to work my whole career and I worked in banking.
Ask HN: Why does Bing Chat search the web when it doesn't need to?
I think it would give better responses (more like ChatGPT) if it relies more on its built-in knowledge than what it finds by searching the web during the chat.
I saw this headline and immediately thought of how "where is my mind?" starts with abruptly saying the word "stop" kind of forcefully. Sure enough that's the issue.
32k context is $1.92 for each request.
Regarding the first point: you're right in the context of large corporations (such as Mattermost). We also have sole proprietorships, which are strongly tied to the owner.
This seems overly harsh - is there not water involved at the plant to drive the steam turbines?

That the design of the plant does not directly heat water from sodium is great, but it still is useful to know the plant becomes sensitive to water issues like flooding.
I love the prompt and yes it does very well at mimicking DFW. It’s kind of weirding me out in a Year of the Trial-Size Dove Bar kind of way.
They're not even a funnel. Meetups aren't the right channel for #2 and #3 -- they almost never happen based on (even pre-COVID) experience with Meetups (I went to 2-3 meetups a week for over 3 years, and despite being outgoing, I never made a single friend).

I had better luck with #1 + #2 taking classes at Second City than I ever had at Meetups. Classes give you repeated exposure to the same people every week. Repeated exposure gives people predictability, which helps them relax their defenses.

#3 is more difficult -- you have to take the extra step of inviting people out to do stuff together. People are more comfortable opening up in smaller settings.
One could argue they actually stand the most to gain and could expand under AI.

Everything I have seen so far about AI seems to indicate that you won't want to have one main AI model to go to, but instead there will be thousands of competitive AI models that are tailored for expertise in different niches.

StackOverflow will certaintly need to morph to get there, but the market share they already have in code-solving questions still makes it a destination. Which gives them an advantage at solving the next stage of this need.

I see a world where someone could post a question on StackOverflow and get an AI response in return. This would satisfy 95% of questions on the site. If they question the accuracy of the AI response or don't feel that it is adequately explained, they put a "bounty" (SO already does this) to get humans to review the original prompt, AI response, and then have a public forum about the corrections or clarifications for the AI response. This could work in a similar manner to how it does now. A public Q+A style forum with upvoting and comments.

This could actually increase the value of the site overall. Many people go to Google for quick error searches first. Only if they are truly stumped do they go to StackOverflow. But with a specially tailored AI model, people may stop using Google for the initial search and do it at StackOverflow instead since they will likely have the absolute most accurate software engineering AI model due to the quality of the training data (the StackOverflow website and the perpetual feedback via the Q+A portion explained above). This actually could lead to a significant market shift away from Google for any and all programming questions and towards the StackOverflow AI instead. While still preserving the Q+A portion of the site in a way to satisfy users, and also improve the training of their AI model.

For me, I would be more interested in the site. Right now if you go there, you will see 1000's of questions posted per day, most of which are nonsense RTFM[1] questions. But there are very interesting discussions that could arise if you could only have the interesting questions and have all the bad questions answered by AI and not cluttering up the public discussion. I could see personally subscribing to all questions that the AI bot stumbles on for the language or frameworks that interest me. I think there would be a lot of good discussions and learning from those questions if that was all the site was.

[1] - Read The F**ing Manual
FWIW I'm not at FAANG level or even have a good educational background. If anything FAANG developers skew the statistics for the majority
Why not? This is a very dogmatic take on how to spend ones time. People enjoy different things, if you enjoy spending time behind a screen, go for it.
The hallucination meme has far exceeded the reality, at least for GPT4.

That said, it would be insane to use it at work to generate content in a domain you're not an expert in. It is an amazing productivity tool, but it does not change the reality that faking expertise at work is always going to bite you.
I fully agree with that.
Doubtful since they were released yesterday. That being said I will be deploying something to our lab this week to play with.
Paying for chatgpt I believe is separate from API access
Your link indicates that the founders get back full control once OpenAI makes a ton of money.
Rather than copying its output for publishing, I assume most people are using it to have conversations with, and ask questions, probe the answers, discover new information, research or use that information, and follow up with the conversation over time. That's how I use it and it's now my first step before Google, for certain types of questions or thoughts. I don't see that utility really going away.
Companies do this, but it is really hard to support. I prefer teams that own an entire vertical slice. Then they know their API and more importantly, The WHY? their API does what/how it does. A BE team can never know the entire context without exposure to the end use IME, and there is far less ownership. YMMV and it will ultimately come down to how your company is organized.
Joe, you must c for the one that is c'ing,
type the one that is typing,
cmake the one that is cmaking,
only then shall you c plus plus
This is an incredibly insightful response. Thank you!
Maybe remote work means that suburbanites will stop preventing cities from being nice places to live? (because of regional politics, suburban drivers have a say in things like how much highways and parking a city ends up having to maintain)
Well it has been 10 years :) but typical office style like pressed khakis, button down shirt, and uncomfortable shoes.
This is the irony inherent in the desire of many to plant a flag on something, anything, and call it Twitter 2.0.

Many of the negative aspects of Twitter that drove people away (incl pre-Musk era) are repeated here. The ownership is centralized; why would a protocol need a CEO? The network will lean towards centralization as well; let's be real, the default instance will be 1000x bigger than any federated offshoot).

It's frankly unfortunate to see so many of the tech bloggerati trying Mastodon, an actually decentralized solution without a for-profit mission, and then bandwagoning on to this new thing under the guise of wanting some lols, because Mastodon is too boring, they are no slapfights over celebrity/social media nonsense.
It's even worse. This study was done in worms. A species of worms widely known for having literally one of the most simple neural structures of any animal on the planet (they have like 300 Neurons in total). Those worms can't even develop Parkinson's. So what they observed is that literally feeding the bacterium in large quantities to those worms coincides with buildup of a certain protein that regulates synaptic activity and whose build up is observed in a certain share of humans with Parkinson's. But the worms were also genetically modified to enhance their susceptibility towards that protein. So this result doesn't just have to jump the causality hoop, it first has to make the jump to independent confirmation. Because there is a lot of potential for unintended bias. Even if it manages that, it also has to make the jump to mammals and after that it could still fail in the clinical stage. It is at best news in a field deprived of breakthroughs for a long time, but it is far from a real breakthrough.
What happens with eSIM devices?
We also found ourselves "competing" with Watson. Watson promised Big Improvements For Free, while we were up front that you put in work for easier time down the road.

At least Watson was an unknown. We got mostly annoyed at other things where we could say "You already tried that and it didn't work, which is why you're talking to us". Even though they kept living in hope that something would turn big masses of noise into clean data with no effort.

A decade later, they might actually be getting that. I'm skeptical, but at least it's a real thing.
Very well said, thank you for writing that.
AI Is the Hot Topic on Earnings Calls This Quarter
Thats a great idea. I'm going to start doing this. For me it also seems GPT-4 just prints out slower. I find I can get most done with 3.5 and its faster to achieve what Im looking for. Then when I'm not satisfied with the 3.5 response I can clean it up and feed over into 4.
This is highly location-dependent. In the north east it might be the case (I’m thinking of the commuter belt for New York City, towns in NJ, CT or Long Island which are towns in their own right), but suburbs in Texas (for example) are a hellscape of strip malls, often without any kind of sidewalk or amenity besides 17 different churches and a Sonic.
Calm down. It is a language model. People have figured out how to predict the next word for a given prefix. That's very cool and it will definitely have a significant impact on software. But it is not artificial intelligence.
Search it on marketplace?
Thoughts on “Scaling up the Prime Video audio/video monitoring service”
https://youtube.com/watch?v=tyixMpuGEL8

It’s by Captain Disillusion, probably the YouTube creator with the highest continual quality.
Netflix mini-series on the case - https://www.imdb.com/title/tt21063148/ Actually quite good.
> SIM farms are devices that can house hundreds of SIM cards, which can send out thousands of scam texts to defraud the UK public of millions of pounds. In addition to sending scam texts, these devices are used by criminals to run scam call campaigns and to post misleading, false or phishing messages on social media in bulk.

> Whilst there are some potentially legitimate uses of the technology, these are limited and should not require using more than four SIM cards, based on the number of mobile operators in the UK. We have very limited evidence that there are any legitimate use cases for devices that allow the use of more than four SIM cards, and for all such cases alternative options exist.

The justification seems sound. What is the issue here?
I think the term of art is "hallucination."
Despite working from home in a fantastic job, I'm having a bit of a hard time believing that we're not in The Bad Place right now.
How much did Google make from those views?
> we are thinking of switching to a distributed object store for our public server

As a data point, we're using Minio (https://github.com/minio/minio) for the object store on our backend. It's been very reliable, though we're not at a point where we're pushing things very hard. :)
In the same sense everyone stopped being awed by the ability to communicate and share libraries of art, video, and text 100000X greater than every king in recorded human history for free. It's not going away, it's going to become embedded in our lives and taken for granted.
Of course I still don't even have the basic GPT-4 after nearly two months of waiting.
Not selective, true, but we don’t have any better way to do this today.

More selective antibacterial treatments (perhaps some sort of tailored bacteriophage) would be a valuable development for many reasons, and might be just over the horizon. Unfortunately antibiotics are not especially lucrative, and the broader the spectrum (just what we don’t want) the more opportunities to get some revenue.

I suspect a breath test would be possible as is available for H Pylori.

> a gut level desire to avoid PD

Thank you for this.
Ocean-surface temperatures are breaking records
The quality does not yet measure up exactly to ChatGPT (even 3.5), but yes it is possible

Probably the fastest way to get started is to look into [0] - this only requires a beta chromium browser with WebGPU. For a more integrated setup, I am under the impression [1] is the main tool used.

If you want to take a look at the quality possible before getting started, [2] is an online service by Hugging Face that hosts one of the best of the current generation of open models (OpenAssistant w/ 30B LLaMa)

[0]: https://mlc.ai/web-llm/
[1]: https://github.com/oobabooga/text-generation-webui
[2]: https://huggingface.co/chat
A better peer comparison would be The eXile. And look and what doofuses those two aged into.
Color support was added only in 2015:

https://git.kernel.org/pub/scm/network/iproute2/iproute2.git...
The prompts in the example on that page are pretty short... hardly taking advantage of the longer context window.

I'm actually not sure if longer responses can be expected with the 32k vs 8k models. Anyone from OpenAI care to comment on that?
absolutely wrong approach. fix this at the carrier level and not client device level.
And at 4k a month for rent I would say life is just hopeless which might account for the mass shootings, suicide, homelessness, drug use...
I like to think that was debugging code or someone forgot to wrap the string with t() call in drupal or something.
One approach that I feel is underexplored would be building a language server that is extensible from within the analyzed program. Somewhere adjacent to procedural macros and compiler plugins, there's probably a sweet spot for dynamic languages where your program can simply (and simply would be key to pulling it off) tell the language server what some bit of metaprogramming actually _does_ at runtime.

I've played with this idea a bit in Solargraph (especially in regards to Rails) and while the results are promising, the barrier to entry and amount of labour involved is pretty high.
Yes. What's the point of developing something that is suitable for sunny climate only? This is how bias creeps into Al/ML systems.
It does depend on the nature of the code. My rule of thumb is integration code -> integration tests work better. Algorithmic/calculation code -> unit tests work better.

A debugger attached to an end to end test probably better if you're testing integration code. With a unit test you might have to do a lot more extra work to, e.g. construct an exact replica of a request object or a database object or something else that comes "for free" when you precisely mimic the software being used in the real world.

That said, if mimicking the real world in your code is as simple as 'assert my_function("some input")' and checking the output then yea, unit tests are way quicker.
The Hideous Brutalism of the Lewis Arts Complex in Princeton
I see this as an example of the reverse: AI is still stupid enough that it takes humans a degree of skill to craft a request which generates the desired output.
Linus Torvalds Cleans Up the Intel Lam Code in Linux 6.4
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