skysight-inc/HackerNews huggingface dataset:
Super interesting. You can see why Apple would be interested in strictly controlling output. I wonder if any of this work found its way into the Image Playground.
Yes. When I hear dreams of the past it makes me nostalgic because they all come from a pre-exploited era of tech with the underlying subtext that humanity is unified in wanting tech to be used for good purposes. The reality is tech is a vessel for traditional enrichment, such as resource wars of say oil or land have been. Both domestically and geopolitically, tech is seen that way today. In such a world, tech advancements offers opportunities for the powerful to grab more, changing the relative distribution of power in their favor. If tech shows us anything is that this relative notion of wealth or social posturing is the central axis around which humans align themselves, wherever on the socioeconomic ladder you are and independent of absolute and basic needs.
I would turn that around to be an inference that there was no effective security review....
> end up with industrially-produced bad cheese.

It does't have to be, of course, but the people with enough capital to set up automation tend to care more about money than cheese.
We used to have doors in the office for this.
I love small web!
David Holmgren's Future Scenarios
Many years ago I think, here: https://github.com/rust-lang/rust/issues/46213. (Found this via https://lobste.rs/s/w3jjb2/surprising_enum_size_optimization...)
Or you could occasionally fast for 5-7 days to dramatically ramp up the intensity of autophagy/mitophagy in order to have your body do this for you. No robots needed. You may also discover that you like the way your brain and body operate with a different ketone/glucose energy balance.
We could make it more clear, but it's not an interview.

The link is to a video of a talk we presented about TigerBeetle, it's an overview and demo.

If you haven't watched it yet, take a look and let me know if you still feel that we shouldn't point people to it.

https://www.youtube.com/watch?v=sC1B3d9C_sI
RFC 8375 seems to have approved it specifically to use in Home Networking Control Protocol, though it also states "it is not intended that the use of 'home.arpa.' be restricted solely to networks where HNCP is deployed. Rather, 'home.arpa.' is intended to be the correct domain for uses like the one described for '.home' in [RFC7788]: local name service in residential homenets."

The OpenWrt wiki on Homenet suggests the project might be dead: https://openwrt.org/docs/guide-user/network/zeroconfig/hncp_...

Anyone familiar with HNCP? Are there any concerns of conflicts if HNCP becomes "a thing"? I have to say, .home.arpa doesn't exactly roll of the tongue like .internal. Some macOS users seem to have issues with .home.arpa too: https://www.reddit.com/r/MacOS/comments/1bu62do/homearpa_is_...
Hey, if you're a GTM genius, let's do it! Over the last 5 years, I've worked at an $8m seed startup that couldn't get it right and folded last Dec. I've built three other products that didn't go anywhere because of GTM (lack thereof). If you're the genius I've been looking for, then ping my LI!
If it were an ancient aliens type thing, don't you think the language would want to draw your attention in that direction? Like "...22,000-year-old spacecraft found..."
I feel like it needs a comparison with https://kro.run/ and crossplane v2 which makes it more generic and less cluster scoped.
Adhesion and cohesion always fuck up scenes that combine scale models and water. Splashes always look very wrong, and in the case of a submersible bubbles could be a problem. Smoke chamber makes sense.

Although in the days since “O Brother Where Art Thou?”, when they added dust-yellow color to the entire movie in post, maybe there are other ways now, if you didn’t want to go entirely to CGI.
Trump is dismantling election security networks
I stopped sleeping with my wife in the same bedroom some years ago and it was great for our sleep quality.

It's very funny how people conflate that with other aspects of couples relationships.
Slashdot, StumbleUpon, Everything2, del.icio.us, Digg
Feel extremely passive aggressive. Or just plain aggressive. Especially the one of the woman coming over and the guy hitting the busy button. If someone did that to me that’d be the last time.
Kaiser was hit with a class action for exactly the same issue last year:
https://news.bloomberglaw.com/litigation/patients-advance-ka...

GoodRx, BetterHelp, and dozens of others have received notices that this is an issue. The federal OCR even published a bulletin about this 3 years ago.

You'd think that any one of these would have triggered internal reviews and discovered this issue for all the others, but that's much too high a bar to expect in healthcare.
That mandatory debriefing was part of the reason why the data was better. That's what I'm saying.

If the relevant Antarctic authorities were performing an end-of-season debrief with each and every employee, following the paradigm used for marine fisheries observers, they might go from "59%, but some punter can claim its actually 14%" to "actually its like 70%, and here's the mountains of data to prove it".

I specifically referenced the marine-fisheries example because, outside of grievous injury or death, the observers cannot leave until the captain of the boat they're narc'ing (your words) on chooses to return to port, and only if the captain of that boat returns to a port they can easily go home from. Which is a pretty serious problem when the harasser/assaulter is the captain. The analogy to Antarctica is pretty strong in that light.
Hmm, didn't cyanobacteria / blue-green algae evolve early in Earth's history? I would agree that chemosynthesis seems like a better bet so far away from the sun, though).
> HTTPS on LAN is essentially useless

Public wifi isn't a thing? Nobody wants to admin the router on a wifi network where there might be untrusted machines running around?
Life on Earth was dependent on chemosythesis for the better part of a billion years before photosynthesis was developed. Photosynthesis is really very complex so I think we can rule that out as an initial form of life.

Hydrothermal vents are a great source of chemical energy in the form of hydrogen, hydrogen sulfide, or other chemicals that can be reacted for energy where the come out into the sea. But you could imagine other sorts of chemical energy driven by other geologic or atmospheric processes that life might bootstrap from.
Right‽ And holding cells are just part of it
We needed to scan. If 30-year-old memories can be trusted, it was on port 666.
> I think the issue is that it's so tempting to lean on AI.

This is not the root cause, it's a side effect.

Student's cheat because of anxiety. Anxiety is driven by grades, because grades affect failure. To detect cheating is solving the wrong problem. If most of the grades did not directly affect failure, student's wouldn't be pressured to cheat. Evaluation and grades have two purposes:

1. Determine grade of qualification i.e result of education (sometimes called "summative")

2. Identify weaknesses to aid in and optimise learning (sometimes called "formative")

The problem arises when these two are conflated, either by combining them and littering them throughout a course, or when there is an imbalance in the ratio between them i.e too much of #1. Then the pressure to cheat arises, the measure becomes the target, and focus on learning is compromised. This is not a new problem, student's already waste time trying to undermine grades through suboptimal learning activities like "cramming".

The funny thing is that everyone already knows how to solve cheating: controlled examination, which is practical to implement for #1, so long as you don't have a disruptive number of exams filling that purpose. This is even done in sci-fi, Spok takes a "memory test" in 2286 on Vulkan as a kind of "final exam" in a controlled environment with challenges from computers - it's still using a combination of proxy knowledge based questions and puzzles, but it doesn't matter, it's a controlled environment.

What's needed is a separation and balance between summative and formative grading, then preventing cheating is almost easy, and student's can focus on learning... cheating at tests throughout the course would actually have a negative affect on their final grade, because they would be undermining their own learning by breaking their own REPL.

LLMs have only increased the pressure, and this may end up being a positive thing for education.
I saw a fun comparison a while back (which I now cannot find) of the amount of CO2 it takes to train a leading LLM compared to the amount of CO2 it takes to fly every attendee of the NeurIPS AI conference (13,000+ people) to and from the event.
Setting it to the new tab page is a neat idea, I will follow your lead
In fact, Barrelfish is based on running a microkernel per core, and makes good use of this design to better adapt to hardware diversity.

I understand why Linux develops everything in one place. This makes it far easier to manage. However, it is far more difficult to configure and specialize kernels. (Saw a paper where core operations of default Linux had gotten slower over the years, requiring reconfiguration.) Or to badly paraphrase Ingo Molnar: aim for one of two ideals in operating system design: the one that's easiest for developers to change/maintain and the one that maximizes performance.
> Food is an art.

While I respect the point you're making, food is not an art. It is usually a perishable commodity and a requirement for survival.
There are some semantic differences compared to POSIX filesystems. A couple big ones:

- You can only append to an object, and each object can only have one writer at the time. This is useful for distributed systems - you could have one process adding records to the end of a log, and readers pulling new records from the end.
- It's also possible to "finalize" an object, meaning that it can't be appended to any more.

(I work on Rapid storage.)
I saw this post where Andrej Karpathy asks if hyperbaric oxygen therapy might work like exercise by boosting oxygen to tissues, I wonder if sleep has any correlation.

https://x.com/karpathy/status/1903586665832321271?s=46
Or people who's minds are swirving more and more use weed as a guard rail which eventually can't contain the ever growing mental swings.
I was always a bit surprised other sci fi authors liked the "three laws" idea, as it seems like a technological variation of other stories about instructions or wishes going wrong.
>We’re either handicapping our brightest, or boosting our dumbest.

Honestly it seems like we're doing both most of the time. It's hard to only optimize resources for boosting the dumbest without taking them away from the brightest.
To each their own! When I watch Ross ask how to beat up a woman in the street with eyes bugging out of his head there's a pretty big difference between a laugh track and no laugh track. Just like Garfield comics hit very different when you realize that John is actually talking to himself.

I don't "reflexively dismiss" all shows with a laugh track. Some of Friends is genuinely hilarious. But a lot of it is only funny, to me, when surrounded by others laughing.
Can you see how this comes across as double speak?
This seems like it could be summarized as tag merging. When the member of an enum is another enum, then the two can be effectively merged, rather than tested, so that there is one discriminant tag. The tag values have to be displaced/renumbered so that their ranges do not overlap.
I was talking about TR in the UK. You have to push it just right, it's noisy, and you have to use force.
https://gist.github.com/fpgaminer/8782dd205216ea2afcd3dda29d...

That's the model automation. To evaluate the prompts it suggests I have a sample of my dataset with 128 examples. For this particular run, all I cared about was optimizing a prompt for Llama 3.1 that would get it to write responses like those I'm finetuning for. That way the finetuning has a better starting point.

So to evaluate how effective a given prompt is, I go through each example and run <user>prompt</user><assistant>responses</assistant> (in the proper format, of course) through llama 3.1 and measure the NLL on the assistant portion. I then have a simple linear formula to convert the NLL to a score between 0 and 100, scaled based on typical NLL values. It should _probably_ be a non-linear formula, but I'm lazy.

Another approach to prompt optimization is to give the model something like:

I have some texts along with their corresponding scores. The texts are arranged in ascending order based on their scores from worst (low score) to best (higher score).

Text: {text0}
Score: {score0}
Text: {text1}
Score: {score1}
...

Thoroughly read all of the texts and their corresponding scores.
Analyze the texts and their scores to understand what leads to a high score. Don't just look for literal patterns of words/tokens. Extensively research the data until you understand the underlying mechanisms that lead to high scores. The underlying, internal relationships. Much like how an LLM is able to predict the token not just from the literal text but also by understanding very complex relationships of the "tokens" between the tokens.
Take all of the texts into consideration, not just the best.
Solidify your understanding of how to optimize for a high score.
Demonstrate your deep and complete understanding by writing a new text that maximizes the score and is better than all of the provided texts.
Ideally the new text should be under 20 words.

Or some variation thereof. That's the "one off" approach where you don't keep a conversation with the model and instead just call it again with the updated scores. Supposedly that's "better" since the texts are in ascending order, letting the model easily track improvements, but I've had far better luck with the iterative, conversational approach.

Also the constraint on how long the "new text" can be is important, as all models have a tendency of writing longer and longer prompts with each iteration.
Most people today will be familiar with her as depicted in the title card for Columbia Pictures.

The Big Three TV broadcasters (NBC, ABC, CBS: National Broadcasting Company, American Broadcasting Company, and Columbia Broadcasting System) are all named after the country, though CBS now seems like the odd one out.
Curious what you mean? (I'm not affiliated with any of them, just been looking for a fast/low-latency/high-throughput hybrid batch/streaming query engine for a while).

Been struggling to find anything that looks mature. Ideally something with a full python dataframe based api.
Not to be confused with The Book of R: https://www.amazon.com/Book-First-Course-Programming-Statist...
> Isaac Asimov describes artificial intelligence as “a phrase that we use for any device that does things which, in the past, we have associated only with human intelligence.”

This is a pretty good definition, honestly. It explains the AI Effect quite well: calculators aren’t “AI” because it’s been a while since humans were the only ones who could do arithmetic. At one point they were, though.
Ask HN: Former employer is submitting my old resume
I'm working with a new consulting company and they found out that my former employer is submitting my resume for the same role that the new consulting company is trying to land. What can I do? Do I need to get a lawyer?
Cool! The heirloom pieces are a good one, I should add some. I think I will leave my great grandfather's fake eye out of it though.
I recall Stanford's past AI Reports being substantial and critical some years ago. This seems like a compilation of many small press releases into one large press release ("Key take away: AI continues to get bigger, better and faster"). The problem is that AI went from universities to companies and the publications of the various companies themselves then went from research papers to press releases/white papers (I remember OpenAI's supposed technical specification of GPT-something as a watershed, in that actually involved no useful information but just touted statistics who context the reader didn't know).
Do you know if fitness trackers with integrated pulse oximeters can detect sleep apnea?

My Apple Watch has an oximeter (I bought it before that feature was pulled in the US), and there's a "sleep apnea notifications" section in the "Health" app, but I'm not sure if the absence of notifications implies an absence of a problem.

Would sleep apnea always be visible as a lower blood oxygen level when sleeping, or can there be negative effects even without that?
Unframe launches with $50M in funding to offer outcome-based AI solutions
When did 3.7 come out? I might have had the same experience. I think I have been using 3.5 with success, but I cannot remember exactly. I may have not used 3.7 for coding (as I had a couple of months break).
Every piece of software in existence calls functions and composes functions, there's no reason to attach 'combinator' to everything.

I do not doubt the correctness of the term, just the point of naming it. The fact that people write parsers all the time using these concepts without using the name proves that the name was not a great one.

> It's a term that has existed in logic for over a century, from before computers existed.

Yes, that's a great reason to not overload mathematical terms for random things. Monads and monoids are a great example of when this goes a bit wrong.

>It seems to me that no amount of renaming of terms will fix people's lack of curiosity or lack of desire to learn or understand.

Yes, I agree. Most people are just writing programs and solving problems, and moving on with their lives. It's weird to insist that they call something by a specific name if it's a simple idea that thousands of people have developed independently.
Satellite phone tech coming to your mobe this year – but who pays for it?
Restate 1.3: Concurrency without losing sleep
>The solution is making all homework optional and having an old-school end of semester exam.

Not really. While doing something to ensure that students are actually learning is important, plenty of the smartest people still don't always test well. End of semester exams also tend to not be the best way to tell if people are learning along the way and then fall off part way through for whatever reason.
>This is the dimensionality mentioned in the adjacent post

LLMs are only a few years old but symbolic ai was abandoned for NLP, Computer Vision etc long before that. Why ? Because the alternative was just that bad and more importantly, never seemed to really budge with effort. Companies didn't wake up one morning and pour hundreds of millions into LMs. In fact, NNs were the underdog for a very long time. They poured more and more money into it because it got better and better with investment.

There is zero reason to think even more dimensionality would do anything but waste even more time. At least the NN scalers can look back and see it work in the past. You don't even have that.

>an LLM trained on descriptions of dogs is going to hallucinate when an otherwise sensible query about dogs doesn't match its training. As others have said more elegantly than I will, this points to a pretty different cognitive model than humans have; human beings can (and do) give up on a task.

It doesn't take much to train LLMs to 'give up'. Open AI talk about this from time to time. It's just not very useful with a tendency to overcorrect. And humans hallucinate (and otherwise have weird failure modes) all the time. We just call them funny names like dunning kruger and optical illusions. Certainly less than current SOTA LLMs but it happens all the same.

>I feel like I've had to say this a few times in threads now: none of this is to imply that Cyc was a success or would have worked.

The point is not about Cyc. They're hardly the only attempt at non-monotonic logic. The point is that they should work much better than they do if there's anything to it. Again, forget recent LLMs. Even when we were doing 'humble' things like spelling error detection & correction, text compressors, voice transcription boosters, embeddings for information retrieval, recommenders, knowledge graph creation (ironically enough), machine translation services, etc these systems were not even in the conversation. They performed that poorly.
When Garfield Minus Garfield was being published regularly, I was a regular. I couldn't get enough of its dark, sardonic undermining of the comic aesthetic.
Although calculators can now do things almost no humans can do, or at least in any reasonable time. But most (now) wouldn’t call it AI. It’s a tool, with a very limited domain
Relatively early but there was at least 500 million and perhaps over a billion years separating the first life and the first photosynthesis. At least as much time as between us and the Cambrian Explosion.

https://en.wikipedia.org/wiki/Timeline_of_the_evolutionary_h...
I'm super into the component model but honestly the tooling is still not ready. Basically only LLVM (and really just C) has good enough tooling. The rest of the wasm tool chains are still heavily focused on core modules and if they support components it's only `wasi:cli/run`
TLDR?

Edit: The key suggestions, according to a bot and condensed by me:

- Eat healthy.

- Sleep healthy.

- Exercise healthy.

- Try Intermittent Fasting to promote autophagy / mitophagy.
Rogan minus guest.

“Huhuhuhuhh.” “Wow.” “You wrote that?” “Who?” “Where is that from? What show is that from?”

Very interesting listening material I am sure
Is there any chance that Apple Watch or wife would not notice a severe apnea condition?
Distortions of lip size bias perceived facial attractiveness
Love GMG, glad to see it at number one here. It's really quite amazing how much funnier and yet more profound it is without Garfield. If you like this, you might also enjoy Nietzsche Family Circus: https://www.nietzschefamilycircus.com/

I used to have one stuck to the door of my doom room. No one laughed. :(
Do I really have to jump to a new compositor/window manager to get this? Seems like I should be able to query the state of my desktop without doing that. :(
I loved Stumbleupon. It was a fun way to just explore the internet and truly find many gems I otherwise would have never noticed.

Pretty interesting timeline of events in their Wikipedia article:

https://en.wikipedia.org/wiki/StumbleUpon
See also "What Jim Davis thinks of G-G" (linked from the bottom of the page):

https://garfieldminusgarfield.net/private/61669516/fSymsOGXO...
There is rationality if you think like an autocrat - the goal is to crush dissent and any avenues of dissent so that people "self-censor" in fear.

Combine with upcoming extra-judicial detentions of citizens (we are already detaining legal immigrants in El Salvador), it's required to create a culture of fear and submission.

That it happens to be against a specific group of people is irrelevant - this is the tip of the spear.
>How do you push on the "I can interrupt anyone at any time for any reason" attitude?

i feel like a big light-up sign on your desk that says "busy" might be a good place to start with that.
Humans are one solution to the problem of intelligence, but they are not the only solution, nor are they the most efficient. Today's LLMs are capable of outperforming your average human in a variety (not all, obviously!) of fields, despite being of wholly different origin and complexity.
You can use newer LangVersions with older targets, including .NET Framework. A good deal of features can be made work by just setting LangVersion: 13 and doing dotnet add package PolySharp. But of course this won't bring missing span-based APIs, new ASP.NET Core and EF Core, etc.

However, the workplaces that adamantly refuse to upgrade also select for developers who may not be familiar with pattern matching or other features at all, and never read release notes.
What controversy ?
Surely that's an invitation for election interference? I can't see this ending well.
Will true AI turn against us?