skysight-inc/HackerNews huggingface dataset:
Over $500/mo but not entirely a livable income yet

Manabi Reader, iOS/macOS app for learning Japanese by reading. Tracks the words you read on the web and shows you what % of an article you're already familiar with (vocab or kanji). Tracks your JLPT level progress. Has Anki integration or its own companion flashcards app.

https://reader.manabi.io
I run https://bonusbuddy.app.

Online casinos in the US will give you daily bonuses of $0.50-$1 just for logging in, and I built a Chrome extension that automatically collects the bonuses for users every day for a bunch of different casinos.

I charge $20/mo and users make roughly $200/mo in bonuses (trying to adhere to the software must provide 10x value philosophy).
If the text is good, and someday it will be, I don't care if an LLM wrote it. If it's bad, I don't care if a person wrote it.

The only reason to care is that the implicit proof-of-work signal has broken because LLM text is so cheap. Open forums might need to be pay-per-submission someday...
Async is not really that in Rust. While it's true that a singular poll cannot be preempted, things like task::spawn schedule that on a multi threaded executor. So a lot of cases behave just like threads except you await them from somewhere else.
I can definitely see the big negative impact on transportation of goods to/from Hawaii as a result of that law, as foreign ships can't stop at Hawaii to offload (and or pickup) goods and then continue on to the continental US.

But I'm not seeing why it would be bad for a local ferry. The sailors operating the ferry are going to be living on the islands, so requiring them to be legal permanent residents doesn't seem too onerous. And these don't have enough range to be traveling to foreign islands so that complication doesn't apply.
IMHO, Waymo's autonomous taxi service is amazing. I think it's a superior product to Uber/Lyft. Consumers won't be getting FSD on their personal cars anytime soon, but managed self-driving fleets seem well poised to compete with ride-hailing services.
When I last posted a Wayback Machine archive URL I was downvoted considerably. Any idea why?
https://huggingface.co/spaces/tomg-group-umd/Binoculars
How to build a turnstile antenna for 435Mhz (and connect it to SatNOGS network)
Deaf culture (with a capital D) is a fascinating study in what it means to have a disability.

The definition of disability is impairing one or more major life function. Capital D says that's not them. They just communicate differently.

So. If they have that culture, is it bad for them to celebrate that they can share in it with their children?

For reference, I think it's bad. But I can see the logic.
There is a lot of work to be done inorder to fuse the gaps between physics and biology.
another important point, typhoons are very big, so wind blows against a building in one direction. Tornadoes are very small, and would push on a skyscraper in multiple directions in the rare event that it hits a skyscraper and doesnt immediately dissolve due to lack of airflow. Airflow from multiple directions would mostly cancel out.
Fortunately in the US they'll be required to offer a minimum battery warranty of 8 years
Did you even read TFA?
This will probably sound more cynical than it's meant, because I do admire this, but here we go anyway - Whenever I see these impressive-looking online data visualisation projects, I think: What would be interesting - and/or convincing - would be case studies written by experienced GIS people showing how and why they would use this (as compared with other offerings).

Because there are quite a few data visualisation options around these days, many re-imagining subsets of standard GIS functionality from 20+ years ago, into their own online, collaborative, friendly UI (<-- what Microsoft used to call "a wizard"). It's very impressive but at the same time, the unique contributions of such projects are often in the areas of visualisation and UI, rather than in the area of geography. Which are important in their own right!, but will not necessarily be the primary consideration of some categories of user.
Ha! I've considered this, and would really value pointers, if you're able to share?
(2022)

Then: https://news.ycombinator.com/item?id=30432987
i would subscribe to your newsletter if you offered one.
Long battery life isn’t so much about contiguous use as it is about not needing to think about charging as often and being able to not carry a laptop charger brick on excursions. It also lets you still have “normal” laptop life left over after periods of high-intensity usage.

Also generally speaking more efficient laptops are cooler which is generally a quality welcome in a device sometimes used in a person’s lap.
I'm making some money by putting all my nonfiction book notes on https://littlerbooks.com/
A great idea! Could even put an actual video stream in there as a "thumbnail" of what is in the data streams.
That seems like a different analogy; making better hammers is a different thing than understanding why holding a hammer a certain way works well. We did eventually invent enough physics to understand why we hold hammers where we do, but we got really far just experimenting without first principles. And even if we use first principles, we are going to discover a lot more by actually using the modified hand-held hammer and testing it, than necessarily hitting it out of the park with great physical modeling of the hammer and the biomechanics of the human body.

And in any case, I'm not saying we shouldn't search for deep understanding of what hyperparameters work on a first try, I'm just saying there's a good chance that even if the principles are fully discovered, it may be that calculating using those principles is more expensive than a bunch of experimentation and won't matter in the end.

That's the trick about science, it's more about finding the right question to answer than how to find answers, and often times the best questions only become apparent afterwards.
Note that this works for Furby Connect, original Furby had IrDA only.
Migrating AWS EC2 Instance to IPv6 to Avoid IPv4 Charges
STMicroelectronics Makes a 18K Big Sky Sensor So Large Only Four on a 30cm Wafer
Apple supports grounding as a first-party offering by using their extension cables that plug between the wall and the power brick. So this product isn’t doing something untested and unsupported.
It means that it needs to be able to get the vehicle into a safe situation regardless of conditions. That can mean needing human help once it is there in some cases.

This doesn't mean that it needs to magically cross destroyed bridges, as the popular culture definition often implies.
I guess it depends on the employer. Mine is fairly chill with it.
iOS 17.3 adds multiple features originally planned for iOS 17
Same question, same frustration, from Norway
The grounding lug exists on the charger body itself because some of Apple's first party plug adapters are grounded.
The Team page for that site has 115 people rather than 4. I'm sure it's a worthy cause and perhaps more people could help but there's no need to exaggerate...
I have seen them do so in the past. But they need to be very targeted similar to surgery. There's some tumor in the company and you need to identify what that is and remove all of it.

I've seen it effectively done once.
You sir.... are a paragon among men.
And what brought about this idea?

Seems absurd frankly. How would they even approach this task? Something like this is either organic, gradual, and before you are famous or it is stealth and as wide as possible.

I don’t see them pulling something like this off without everyone noticing.
That's awesome, thanks for sharing. I'd love to work on projects like yours, they are hard to find!
Being tech savvy, there's no way I'm implementing that for $0.002 per request. $150 gets you 75k scrapes.
Humans write. LLMs pretend to write. Really what they are doing is a statistical process called "continuation".

By training an LLM on human-written content, we are essentially restricting the problem domain from "any possible next character" to "something similar to what the humans wrote".

What the LLM does at the end of the day can be as simple and intelligent as blindly stumbling around whatever data it was given, because the domain it is stumbling around is made exclusively out of human-written content.

An LLM won't generate nonsense, because nonsense lies outside its domain: the LLM was never trained on nonsense, so there is no nonsense for it to stumble into.

An LLM can stumble into lies, offensive language, threats, incorrect arithmetic, logical fallacies, etc. These are generally presented as "limitations". The limitation is that we can't keep them out of the domain. It would be more clear to say those are limitations of the LLM creator. To the LLM itself, these limitations are a feature; though not the kind we are happy about.

Humans are able to think about our writing before we write it. That's a feature called objectivity, and LLMs don't have it. There's no obvious place to add that feature, either.
Looking at the output image examples, very nice, although they seem a little blurry. But I guess that's a dataset issue?
Have you tried training anything above 1024x1024? Hope someone releases a model based on this since open source pixel space models are a rarity afaik
Love it. Always wanted to have exactly this for password sharing. Simple yet secure.
It doesn't even have to be snow. Heavy thunderstorms can close schools too.
With regard to model selection, one thing I learned a long time ago that provides powerful intuitive guidance on which model to use is the question: "How could this be compressed further?"

There are some deep connections between data compression and generalized learning, both at the statistical level and even lower at the algorithmic level (see Solomonoff induction).

For a specific example at the statistical level, suppose you fit a linear trendline to some data points using OLS. Now compute the standard deviation of the residual terms for each data point, and using the CDF of the normal distribution, for each residual, map its value into the interval [0, 1]. Sum together the logarithms of the trendline coefficients, the standard deviation, and the normalized residuals. This value is approximately proportional to "sizeof(data | model) + sizeof(model)". It represents how well you compressed the data using the OLS model.

But now suppose you plot the distribution of the residuals and find out that they do not in fact resemble a Gaussian distribution. This is a problem because our model assumed the error terms were distributed normally, and since this is not the case, our compression is suboptimal.

So you back out some function f that closely maps between the uniform distribution on [0, 1] and the distribution that the residuals form and use this f to define a new model: yᵢ = m*xᵢ + b + εᵢ, with εᵢ distributed according to f(x;Θ), Θ being a parameter vector. When you sum the logarithms again, you will find that the new total is smaller than the original total obtained using OLS. The new trend line coefficients will slightly mess up the residual distribution again, so iterate on this process until you've converged on stable values for m, b, and Θ.

At the algorithmic level, the recommendation to use compression as a model selection guide applies even to LLMs, but it's a bit harder to use in practice because "sizeof(data | model) + sizeof(model)" isn't the entire story here. Suppose you had a "perfect" language model. In this case, you would achieve minimization of K(data | training data), where K is Kolmogorov complexity. In practice, what is being minimized with each new LLM version is "sizeof(data | LLM model) + sizeof(training data | LLM model) + sizeof(LLM model)". You can assume "sizeof(LLM model)" is the smallest Turing machine equivalent to the LLM program.
If you wanted to buy some thinking, you used to have to pay a human! Humans are social creatures, we delegate some of our thinking to our social fabric, and some of that fabric are already avatars on screens. This is definitely new!
Every, and I mean every, kid’s reaction when first seeing a unicycle: awe and big smiles. Naturally, right? It’s a bit ridiculous and amazing, isn’t it?

So IMO if any adult doesn’t respond with a smile (at least on the inside … be honest with yourself) then they’ve lost their inner child … and isn’t that a bit sad?

Disclaimer: I have a unicycle and am a terrible terrible rider. Don’t care. Gotta hit the sidewalk once in a while to refresh and damn if I don’t end up giggling every time I fall.
Consumers prefer a vehicle that looks like it'll keep them and their family alive on the streets as given - if some other persons kid ends up dead as a result of their choice - well "whateves".

Make the streets less dangerous and they might prefer something cheaper and as a side bonus less deadly to their neighbors.
I had a probability class and we definitely made that joke more often than we should :P
The problem as I see it is that 'text is good' has two distinct meanings - first, it doesn't sound like an AI wrote it, it's interesting, entertaining, in word 'readable'. The second is that it's accurate / true.

It feels like we're happy to take the first as a surrogate for the second, or at least being good at the first drops our guard on questioning the second.
Put in Prigogine's terms: the system is not at, and does not reach, equilibrium (the state that most other chemical science tends to assume).
I had wondered about this, because my 2013 MBP was grounded (it came with this cable) and it used to zap me constantly. But I did not put 2+2 together.
I think your comment is a little bit off-target but adjacent to something interesting:

Putting a lot of time and effort into learning something difficult, but that isn't directly useful for survival, is a form of status signaling. Hence the stereotype of successful artists and musicians and athletes having countless fawning admirers while considerably fewer people are thought to be throwing themselves at accountants and teachers and farmers.

Unicycling is interesting because you could just be going about your day getting from point A to point B, while a hostile audience sees both conspicuous consumption ("I have so much free time that I can learn to unicycle") and conspicuous outrage ("I'm so secure in my status that I can do something nonconformist that maybe also looks kind of silly"), and feels like they have to take you down a notch.
https://sre.rs - DevOps course for small companies and individuals/self-hosters.

I’ve posted this previously, but it’s been more than a year since I published the course and it’s still right about $500/mon.

When I was starting all this, I had higher hopes, but it’s been difficult competing with instructors who already have tens of thousands of students and thousands of reviews - they appear on the first page when you search for a particular subject and “no one” goes past the first page.
You don't strictly need an ASN in order to request address space, at least with ARIN. It's possible to have your own IPs, and arrange for someone else to announce them on your behalf, or use them on your local network without routing them globally.

(If you qualify for one, there's little downside to requesting it at the same time as your IPs, though)
In good quarters, Tesla has been able to pull ~30%. I'd guess that close to 25% is consistently attainable for a product from Apple.

It isn't quite as good as their normal ~40%, but then again those are not $50k+ devices either.
NUCs are a tremendous value over previous generation surplus hardware in areas where the cost of electricity has skyrocketed (SF Bay Area).

We’re talking more than one order of magnitude less power consumption when you compare to 2-3+ generations ago.
https://www.muckrock.com/ seems to have a lot of good information on this too, and fun-to-look-through archives of requests and responses.
unreasonably based. there's almost no other take than this, and if there is one, it must address this.
secure storage/secure boot while acting as the SSD controller, crypto functions via the Secure Enclave with TouchID processing.

Video codec for encoding/decoding H.264/H.265.

Also handled the hardware for the microphone/speakers, camera, light sensors so that these would be isolated from the main OS. It handled Hey Siri voice command recognition.

It also had independent power/sleep levels from the rest of the system, and handled power/thermal management from what I understand.

Probably because it didn't operate as the NIC, they didn't move system/application background tasks like watching for push notifications or checking email.
Tweak your intuition: energy IS motion. When things are not moving, there is no energy. When there is energy, things are moving.
Nobody needs any new ideas for urban planning. Urban planning mostly just makes everything worse when it's tried, so what's needed is ideas for how to make the planners go away.

I think having an infinite power source via plugging it in will work well enough for power in this case.
> This embodies the very fundamental difference between science and engineering.

Not really though. In engineering, you have heuristics, even if you don't know why they work. In the case of deep learning / AI, there seems to be very little in the way of built up heuristic knowledge - it's just "try stuff and see what works for every problem".
Energy is a behavior, or alternatively a probability.
This is the kind of content I come to HN for. If it makes you feel better, this kind of thread also serves as a lightning rod that contains the self-promoting of projects so you won’t see as many posts of this type.
This is a great video! I wish it existed a few years ago when I struggled to find good information about the MIPI DSI, CSI-2 and D-PHY interfaces. That led me to write my own app-note - partly to teach myself but also to then teach others. You can find it here:

https://www.nxp.com/docs/en/application-note/AN13573.pdf

I used the same RT1170 EVK as shown in the video for my examples in the app-note.
Funny, I've been thinking of building this automation for myself.
You’re not reading my comments.

Yes, more competent hires do a better job. But there is a limit to how much competence you can hire per person. That means there is a limit - or at least severe diminishing returns - to how much more competence money will buy you.

That means you can opt to spend that money on DEI without losing out on competence
This still puts the burden on the consumer of having to verify that their credit file is accurate, not to mention the even bigger burden of trying to correct it.
I know nothing about riding unicycles but I do ride EUC (Electric Unicycle). This thing is the most incredible sport related fun I've ever encountered. As for workout - when off road then yes, it is good core training and raises my HR sometimes to the max. Riding regular roads (except initial learning stage) is - meh. HR fluctuates between 60-70 (50 is my RHR).
This may well be true.

But I can't help thinking back to 2007 when so many were saying how hopeless breaking in to the very competitive and competent cell phone industry would be.
Not sure if this is what is really happening but if someone almost always gives 5 stars, that sounds like they might be getting paid for reviews.

Btw I have also started give mostly positive reviews only as negative reviews can come back haunt me (stories about businesses suing people for negative reviews).
Mine has a broken screen because it's the only part that's failed after 5 years.
Support https://eff.org and similar organizations.
It is fairly trivial. I had the battery replaced in various iPhones and it costs like 70€. Any phone repair shop can do it.
ARM Macs and T2 Macs aren't really at all architecturally similar and I don't think it helped any. It was probably a distraction.
Digitization, upload, has always seemed to me an iffy goal. The brains' packaging doesn't seem very amenable to any of our current technologies, as far as being able to "read" it. And then once read emulating it seems just as difficult.

Once uploaded comes the issue of getting computing time to run it (the economics and politics of prefering run time of X over run time of Y). And maintaining the computing platform. Certainly there are immense advantages to the digitized form - of course.

By contrast, augmentation (which is what we already do) seems straightforward. And seems to fit current society "easily" (haha - or let's say it will be tough enough as a first stage.)

So that from the point of view of a next epoch in life forms, AI fits more immediately in the struggle of AI as symbiont, AI as independent, or AI as desktop assistant.
The Enchippening
You don't need to be deaf to communicate with deaf people, right? You could learn sign language either way.
> I thought that the entire point of thermodynamics is that they are asymmetric.

Those people are journalists. For them, thermodynamics is something they never heard about.
That's why they became creative. /s
Thanks for sharing, that is a very interesting coda to the story!
I think they were referring to CIFS. Not the innocence project.
Wouldn't a child that can hear (and therefore speak) born to deaf parents also learn sign language as a matter of course? I.e. they would be able to communicate with their parents in the parent's preferred medium either way.
I think the iPhone came first before the iPod touch
This was an open kaggle prize for a while
The most comical part to me is the moral outrage by some folks who are "against Palworld" because you can essentially force your collection of animals into slave labor.

Because storing them in balls and only allowing them out when you want them to fight to the death for you is such a great moral alternative.
Around these parts "ideas are cheap" is often repeated, but I've failed to come up with a marketable idea for the past ten or so years.

My hobbies & interests are too niche and the problems I have in life can't be solved by tech, so I have yet to run across an idea I'd be intrinsically-motivated enough to pursue.

With that being said, I'm hoping I'll run into someone else's idea which will help me see through the kind of blindness which prevented rsync users from seeing Dropbox as something worth building, so I find exposure to these "little" ideas useful since reading through threads like these is somewhat like speed-dating for startup ideas.
Apple doesn't care a bit about the early mover advantage, if that even exists.

iPod -> Nope, there were lousy players out before it.

iPhone - > Nope, smartphones were around before 2007.

iPad -> Nope, tablets, ugly ugly tablets were around too.
Nintendo's NDA would only apply to people that signed the NDA. If some third party acquired the code without signing the NDA, the NDA shouldn't apply to them.
These threads work.

Both as a seller and a buyer, I've found customers and products I wouldn't have found organically.
This is a cool idea. I think this is achievable with APIs/scraping of news sites, some machine learning/LLM (to assign locations to news stories), and an open source library like Leaflet.
Likely a joke, but prostitution.