skysight-inc/HackerNews huggingface dataset:
First many people can be that guy? If that is 5% that means 95% of the rest should go.

Second, just because a good engineer can have much higher throughput of work, multiplied by AI tools, we know the AI output is not reliable and needs a second look by humans. Will those 5% be able to stay on top of it? And keep their sanity at the same time?
I've been a subscriber since close to the beginning, cancelled 2 weeks ago. I got an email telling me that this is available, but only for Plus.

But for 30 posts per week I see no reason to subscribe again.

I prefer to be frustrated because the quality is unreliable because I'm not paying, instead of having an equally unreliable experience as a paying customer.

Not paying feels the same. It made me wonder if they sometimes just hand over the chat to a lower quality model without telling the Plus subscriber.

The only thing I miss is not being able to tell it to run code for me, but it's not worth the frustration.
At $342 I'd rather buy the production line JBC from Weidinger and spend the difference on tips or another handle.
Depends on the point of view. I think it is awesome that everyone can do something to their abilities AND get paid for it. If drawing would not be needed, all the artists would be basically out of work from one day to another.
Maybe you could, but any influence these concepts had on general culture might still leak in.
This is concerning - how do you know you aren’t being fleeced out of your money here…? You’ll get your results, but did you really use that much?
From what I remember vegetarian/vegan food became very popular during the pandemic and then steadily declined in popularity after. Wonder if the work on this chain started a couple of years ago and the team got the timing wrong.
More sites should be static
Reasons I still love the fish shell
>Sure you can make it a full hybrid but then you’re like 80% of the way there to a battery vehicle anyway.

This sounds like a good thing? Currently the most expensive component of electric vehicles are their batteries, so hybrids seem optimal. Hybrids excel at the exact use cases mail trucks have, so it seems a bit baffling they didn't go with that form of electrification.

Toyota has proven maintenance and reliability aren't an issue with hybrid tech.
The only thing those people melt into are prison populations and early graves, it’s a (loose) international crime organization and very much still active especially in the EU and Australia IIRC.
You are grossly overestimating or misremembering how user friendly usenet was for anyone who doesn't know what a server or port is
...which is silly. Search engines never had to deal with this bullshit and chatbots are search without actually revealing the source.
I am pessimistic about purely in silico or even in vitro methodd to tackle a problem as complex as aging rates. Improving mouse models to incorporate a high level of genetic diversity is a better first step. This is what our group of resesrchers is doing now. Results are promising and results are also highly dependent in genetics and sex.

https://pubmed.ncbi.nlm.nih.gov/36173858/

https://pubmed.ncbi.nlm.nih.gov/34666007/

https://pubmed.ncbi.nlm.nih.gov/34552269/
Software engineering pay is an outlier for STEM fields. It would not be surprising at all if SWE work fell into the ~$80-120k camp even with 10+ years experience.

They won't go broke, but landing a $175k work from home job with platinum tier benefits will be near impossible. $110K with a hybrid schedule and mediocre benefits will be very common even for seniors.
We just receivied this email:

Hi there,

I’m x, PM for the OpenAI API. I’m pleased to share with you our new series of models, OpenAI o1. We’ve developed these models to spend more time thinking before they respond. They can reason through complex tasks and solve harder problems than previous models in science, coding, and math.

As a trusted developer on usage tier 5, you’re invited to get started with the o1 beta today.
Read the docs
You have access to two models:

Our larger model, o1-preview, which has strong reasoning capabilities and broad world knowledge.
Our smaller model, o1-mini, which is 80% cheaper than o1-preview.

Try both models! You may find one better than the other for your specific use case. Both currently have a rate limit of 20 RPM during the beta. But keep in mind o1-mini is faster, cheaper, and competitive with o1-preview at coding tasks (you can see how it performs here). We’ve also written up more about these models in our blog post.

I’m curious to hear what you think. If you’re on X, I’d love to see what you build—just reply to our post.

Best,
OpenAI API
Silicon Valley's Y Combinator to Double Number of Cohorts per Year
Reading the description of the Thermaltronics TMT-2000S on their web page. Do you not have to set a temperature, and it just senses and figures out the right temperature?
DirecTV's Dispute with Disney Shows Why Satellite TV Is in Trouble
https://archive.today/7ZVWO
AlmaLinux Adds New Hardware Certification Program
Someone hire this person please.
> If it was actually a superior method of serving coffee, then everyone would use it.

If there's anything that "everyone uses" it's the venerable Mr. Coffee 10/12 Cup drip brewers that have dominated the US market for 40+ years. They're popular for many reasons, but today, superior taste isn't one of them.
Doesn’t Tailscale solve this problem directly?

I no longer need to expose a public service or even manage certs because anywhere I am I connect to my tailnet and have transparent access to my entire network
CodeEditApp/CodeEdit: CodeEdit App for macOS – open-source, free forever
Modern Neural Networks are by no means guaranteed to converge on the simplest solution. and examples abound in which NNs are discovered to learn weird esoteric algorithms when simpler ones exist. The reason why is kind of obvious. The simplest solution (that you're alluding to) from the perspective of training is simply what works best first.

It's no secret the order of data has an impact on what the network learns and how quickly, it's just not feasible to police for these giant trillion token datasets.

If a NN learns a more complex solution that works perfectly for a less complex subset it meets later on, there is little pressure to meet the simpler solution. Especially when we're talking about instances where the more complex solution might be more robust to any weird permutations it might meet on the internet. e.g there is probably a simpler way to translate text that never has typos and a LLM will never converge on it.

Decoding/Encoding b64 is not the first thing it will learn. It will learn to predict it first as it predicts any other language carrying sequence. Then, it will learn to translate it, mostly like long after learning how to translate other languages. All that will have some impact on the exact process it carries out with b64.

And like i said, we already know for a fact it's not just doing naive substitution because it can recover corrupted b64 text wholesale that our substitutions cannot.
What's the best book on CBT technique that you would recommend?
> I’ll miss the old Grumman LLVs though. They are the post office to me, being there basically all my life.

Same. I was 6 years old when they started rolling out, and don't really remember the previous vehicles. While I actually like (or at least don't mind) the look of the new trucks, they give me that feeling when I'm traveling in a different country, and the normal/standard service vehicles look different and "weird".
Plus the tax code requiring amortization of developer salaries over 5 years instead of the year the salary expense is incurred.
Conditionally Disabling Code with Comptime in Zig
> LLMs are just tools, they help but they do not replace developers (yet)

Yes but they will certainly have a lot of downward pressure on salaries for sure.
true but tiktok is anki in reverse, it learns you
I have never written anything in Erlang, but if my system requires some of Erlang’s built-in features, I am picking Erlang or Elixir.
> Ideally we want AI agents to have some morals (especially when empowered to act in the real world), not just know what morals are if you ask them.

Really? I just want a smart query engine where I don't have to structure the input data. Why would I ask it any kind of question that would imply some kind of moral quandary?
Are shopkeepers required to take down the name and keep a mugshot of everyone who visits their shop in order to help law enforcement? Are the proprietors of any building one might visit required to do so, including those with home security cameras?

You are implying that by not keeping records of all events you are involved with you are intentionally hindering law enforcement, implying that we are morally and legally bound to gather and retain information which helps law enforcement.

Does that make clearing browser history a deliberate attempt to hinder law enforcement?

Internet cafe's wipe the computers after every session. Is that intentionally hindering law enforcement?
Yep, optimize healthspan not necessary lifespan. Best to do both and “rectangularize” survival functions (falling off a cliff). Lots of effort on this now.
Election Betting Is Going Mainstream After Major Brokerage Gets on Board
Good point! I need to check compatibility of Go version of the target binary!

Created the issue: https://github.com/keisku/gmon/issues/18
I haven't read the CELL paper yet (would love to, if somebody has a PDF to share).

But I'm surprised I yet haven't seen a mention of Dr. Michael Greger's book [1] How Not to Die, which does an excellent job of elaborating how various diseases -- including cardiovascular diseases, diabetes, etc -- result in death.

I found it immensely helpful in plugging a lot of holes in my understanding of my own health (FWIW: 40s, no chronic diseases, but tendency towards high(er) A1C, cholesterol)

He has subsequently released other books -- How Not To Age, How Not to Diet, etc -- which one might call as capitalizing on the trend, not to put too fine a point on it. [However, I do find his books, videos and discussions quite informative, and not too technical, without going into the hyper-masculine, pseudo-science-y word salad territory waded into by, say, Huberman.]

There's a brief video [2] on side effects of metformin as a life extension drug, which seems relevant to the CELL paper above.

[1] https://nutritionfacts.org/book/how-not-to-die/
[2] https://nutritionfacts.org/video/side-effects-of-metformin-a...
Assessing microplastic contamination in soda beverages
Which part of the problem described in the post, would you say, is caused by the platform?
> Pretty much the entire point of civilization is not to be at the mercy of natural forces, including evolution

The parent to my comment did bring up "survival instinct" (!)
Skipping some detail: the model applies many high-dimensional functions to the input, and we don't know the reasoning for why these functions solve the problem.
Reducing the dimension of the weights to human-readable values is non-trivial, and multiple neurons interact in unpredictable ways.

Interpretability research has resulted in many useful results and pretty visualizations[1][2], and there are many efforts to understand Transformers[3][4] but we're far from being able to completely explain the large models currently in use.

[1] - https://distill.pub/2018/building-blocks/

[2] - https://distill.pub/2019/activation-atlas/

[3] - https://transformer-circuits.pub/

[4] - https://arxiv.org/pdf/2407.02646
Number of people employed in agriculture, 1801 to 2019
Jevons Paradox?

https://en.wikipedia.org/wiki/Jevons_paradox
can I remote into a Ergo runtime and inspect state?
https://www.nature.com/articles/s41586-020-2487-2
A/C with windows down and frequent door opening is still going to be a lot more comfortable for the driver than a crappy fan.

Even if that makes it wasteful, and makes the vehicles more expensive to operate, our postal workers deserve some comfort while they're driving around all day, 5-6 days a week.
Guidelines call for metformin first for most people, add ons from there are usually chosen based on the individual patient's comorbidities.
Does anyone know if achieving this requires a deeply fine-tuned or modified model compared to 4o? At first glance, it feels like a small iterative change that would be achievable with prompt engineering and some slight code modifications alone.
For WebSockets, using SocketCluster (https://socketcluster.io), it's possible to queue up all requests from the same client and then detect and respond to high backpressure spikes (e.g. by disconnecting the client and/or recording the incident).

You can combine different approaches like limiting the number of connections from a single IP within a certain timeframe and also limiting the backpressure.

The ability to detect and respond to backpressure spikes on a per-end-user basis is highly valuable because backpressure in SocketCluster takes into account the processing time of client requests.

A common strategy that spammers use is to identify and invoke the most expensive endpoints in your system.

Unfortunately, a lot of people still don't understand the value proposition of being able to process requests from clients in-stream and in-order. It's also good for preventing race conditions and makes your environment highly predictable.

In terms of security, many of the worst, most expensive hacks in history were the result of asynchronous events exploiting unexpected race conditions on the server side. The crypto industry has been plagued with those since its inception.

People seem to have gotten used to running chaotic, unpredictable systems, supporting impossibly complex permutations of concurrent events and trying to handle every possibile edge case instead of constraining each stream to certain sequences.

I don't understand the industry's obsession with type safety in the face of far greater problems like this. Maybe we just need a new catchphrase: Concurrency safety? Async safety?

Queueing up message processing per-client doesn't add any noticeable delays from the user's perspective because most operations are a few milliseconds which is unnoticeable once you factor in latency between client and server. It's only noticeable when you want it to be; for example when the user uploads a large chunk of data which requires heavy processing. You can also specify which streams can be parallel and which can be serial.
It must be iteratively calling itself to check/re-check work. EXPENSIVE.
Do not assume constant demand. There are whole classes of projects which become feasible if they cash be made 10x faster/cheaper.

As for maintaining sanity… I’m cautiously optimistic that future models will continue to get better. Very cautiously. But cursor with Claude slaps and I’m not getting crazy, I actually enjoy the thing figuring out my next actions and just suggesting them.
Or even Tailscale Funnel to expose your service to the internet

https://tailscale.com/kb/1223/funnel
I don't really believe there is anything mystical about it, but yea, that stuff is interesting - and I am well practiced at becoming lucid during a dream state, due to chronic severe nightmares I've had since a very young age. But, what I am describing here looks and feels way different to me.

However, this is funny:

> According to Kragh, "The yogi is here instructed to think of whatever dream arises as being merely a dream and to relate to it without any fear. If he dreams of water, he should plunge into it or walk across it. He should jump into an abyss or sit down to be bitten by dream-dogs or beaten by dream enemies. He should fly in air, visit the god realms, or go sight-seeing in India."

> Blessing as illusory and getting rid of fear – Here, the yogi checks their mind during the dream to see if there is even the slightest fear, and if so, they should let go of it by recognizing that they are only in a dream. Once they've mastered the feeling of complete unobstructedness, they have "blessed their dreams as illusory" (sgyu ma byin gyis brlabs pa).

I basically do this but didn't know it was a thing. When I experience that sleep-paralysis like terror in a dream state, I try to conjure up the most horrible thing I can imagine until it goes away, stuff like that. Nothing ever comes.
Why so much hate? They're doing their best. This is the state of progress in the field so far. The best minds are racing to innovate. The benchmarks are impressive nonetheless. Give them a break. At the end of the day, they built the chatbot who's saving your ass each day ever since.
Alright.

I'm trying to come up with other examples, but as the parent said, it then depends how pedantic we want to be e.g. take Poincaré's spacetime, but he'd still be working from two pre-existing ideas, "space" and "time"; the idea of combining the two is (feels?) quite novel and unexpected.

Going back some more, the notion of "space" (or that of "time") feels more primitive, less explainable in terms of other notions.
I would guess because there is not much problem-solving required in that domain. There’s less of a “right answer” to reason towards.
1. The demand for software is insatiable. The biggest gate has been the high costs due to limited supply of the time of the people who know how to do it. In the near term, AI will make the cost of software (not of software devs, but the software itself) decrease while demand for new software will increase, especially as software needs to be created to take advantage of new UI tools.

I've been in software engineering for over 20 years. I've seen massive growth in the productivity of software engineers, and that's resulted in greater demand for them. In the near term, AI should continue this trend.

2. It's possible that at some point, AI will advance to where we can remove software engineers from the loop. We're not even close to that point yet. In the mean time, software engineering is an excellent way to learn about other business problems so that you'll be well-situated to address them (whatever they'll be at that time).
Eh, I don’t think thats true either. Here in Washington it’s not exactly secret Boeing is trying to hollow out their local workforce.

Unless you’re at the executive level, Boeing is “heads we win, tails you lose.”
People didn’t get the gist of your comment.

Here is another way of looking at it:

One could write mobile apps and mobile games in Go, but should you really?
Same MPG but now with AC is a huge win!
Any RL task needs to decompose the loss.

This was also the issue with RLHF models. The loss of predicting the next token is straightforward to minimize as we know which weights are responsible for the token being correct or not. identifying which tokens had the most sense for a prompt is not straightforward.

For thinking you might generate 32k thinking tokens and then 96k solution tokens and do this a lot of times. Look at the solutions, rank by quality and bias towards better thinking by adjusting the weights for the first 32k tokens. But I’m sure o1 is way past this approach.
yes that's part of the point that the comment you're responding to was making
Hakko fx888 is a good quality iron but quite outdated tech. The biggest downside is it doesn’t measure the temperature at the tip, but at the heater.
Wikipedia say, "Remix is an open source full stack web framework. The software is designed for web applications built with front-end JavaScript frameworks like React and Vue.js. . . . Remix has been presented as an alternative to the popular React framework Next.js."
Nations Largest Auto Lender: "We're Here to Help"; Took Customers Money and Cars
It didn't go down, though. What makes you think it went down?
Quick link for checking the result: https://duckduckgo.com/?q=timestamp+1598922000&ia=answer
I agree with you, but just wanted to point out that the author is (from what I gather) a teenager, so perhaps a degree of naivete is expected in his writing.
Yes. Next question, please.

Seriously now, using Preact and vanilla JS without any build steps is something that more people should try out. Even bundling seems redundant in these days of multi-request HTTP connections.
I meant LLM. Though LLVM is very cool, it's not revolutionary.
Threads makes it easier to evangelize the open web with a new link feature
This is way too broad of a title.

Title taken from their page:

> Local Privilege Escalation via MSI installer in SoftMaker Office / FreeOffice

I despise click bait.
Hmm, that is a very long time to suffer the side effects. The information leaflets often say to discontinue much sooner.

Well, if your doctor was okay with it, then who are internet strangers to judge? If you had the usual non-tolerance GI problems (more frequent than in 1 in 10 patients), I can only admire the perseverance. It takes a lot of self-care from keeping close to a toilet to hydration.
"you end up competing against your offspring for resources"

This was relevant in the pre-agriculture era. We already live in densities several orders of magnitude higher than evolution optimized us for.

I am more concerned about the somewhat artificial societal resources, such as top jobs. We might get a very ossified elite. We almost saw a presidential election with two ancient guys competing. With longevity widespread, this may become a pattern.

"you give pathogens a non-moving genetic target to attack"

True, but we generally try to manage new infectious diseases by scientific means, not by "0.6 per cent of population is resistant to this, let the rest croak". See: AIDS, Covid.
Circulating long noncoding RNA: biomarker research for mood disorders [pdf]
Yes, I went back to a country with socialized medicine where patients as well as doctors are still relatively courteous to each other. It was a huge relief to leave the US, professionally speaking. BTW, I don't really get why you're so riled up.
Perhaps the next generation of UPS trucks will have large windows like the new USPS trucks. If it seems to be a useful feature, others will adopt it eventually.
That reflection model is in no way comparable to whatever OpenAI is doing.
I think it's clear their strategy has changed. The whole landscape has changed. The size of models, amount of dollars, numbers of competitors and how much compute this whole exercise takes in the long term have all changed, so it's fair for them to adapt.

It just so happens that they're keeping their old name.

I think people focus too much on the "open" part of the name. I read "OpenAI" sort of like I read "Blackberry" or "Apple". I don't really think of fruits, I think of companies and their products.
> However, if the agency has not even tried, I can't sit here and blame Texas judges or anyone else

Fair enough, I'm being overly cynical
Is the file foo_bar.go (no build tag line) compiled or not?

If your Go version doesn't know of such a build tag as "bar", then foo_bar.go is unconditionally compiled. If Go in a later version adds "bar" as a known build tag, then foo_bar.go becomes conditionally compiled. Better hope you know this is how things work (reality: lots of Go devs don't).

Build tag lines don't have this problem. They always specify compilation conditions, even if the build tag is not already known to the compiler. They also apply to the whole file, the same as _tag in the name; there's no preprocessor spaghetti possible.
It doesn't solve the second problem. Though I can't say how much of an issue it is, and CoT would help.

JSON also isn't an ideal format for a transformer model because it's recursive and they aren't, so they have to waste attention on balancing end brackets. YAML or other implicit formats are better for this IIRC. Also don't know how much this matters.
Not necessarily greater (though I'd think so, yes), but certainly different.