skysight-inc/HackerNews huggingface dataset:
If only there was someone in the area who had some entrepreneurial skills to start a new SVB.
The blog post series seems to bury the lede -- it isn't until part 3 [1] that we get to the insight that MQTT and Kafka solve different problems and therefore can have complementary roles in the same system.

We use this architecture for IoT: MQTT for edge because it's standard and super good enough, and Kafka because it turns out we want to do more than one thing with the data as it streams in so not using Kafka would end up being more complicated.

Here's a key insight though: for IoT you don't want to use an actual MQTT broker, like Mosquitto or HiveMQ. If you do, it's hard to avoid data loss. Server side you have something that subscribes to those MQTT topics and pushes the data into Kafka. What do you do when that thing needs to be restarted? Ok, you can use persistent sessions in your MQTT broker. But how much memory does your MQTT broker need? What if your MQTT broker crashes? Oops, now your MQTT broker needs its own persistent database to keep track of all those messages in limbo.

What you want is an MQTT gateway -- something that looks like an MQTT broker to the devices, but the server side does something different with received messages. When it gets the MQTT PUBLISH command, it sends the message to Kafka, waits for the ack from Kafka, and only then sends PUBACK back. Presto, the MQTT thing is now stateless and horizontally scalable. Your clients just need some retry logic.

Maybe Kafka's mqtt-proxy does this, I don't know. I don't think it's mentioned in part 3. But it's a key property of such a system. I'm guessing Amazon's IoT gateway does this, because once you've thought about it hard enough it becomes obvious this is how it needs to work.

1: https://www.influxdata.com/blog/mqtt-vs-kafka-iot-advocates-...
> Both can be technically be modeled with a lookup table, but for Othello that table would be size 3^63.

Could you just generate the subset you need denovo each time? Or the far smaller number of 1-dimensional lines?
obviously this is a rhetorical question, but are you really going to be hurt by the $250k cap? really?

If so, maybe it's time for a better banking plan than "all eggs in one basket"
So if this model has comparable cognitive abilities to your 2 year old, how is it ready to serve as a second opinion for your neurologist?
Grid energy storage doesn't require nickel at all. Lithium iron phosphate batteries produced at scale today do away with nickel, but they just aren't ideal for cars. There are technologies that do away with the lithium part too, but it seems like there's a new lithium discovery every few months now that we're looking, so the future is uncertain.

Copper, sure. You need copper for practically everything, though. The world has run on copper since the dawn of power generation. We may see more aluminum in power transmission at some point, but barring a breakthrough in graphene composites [1], copper will be central to the electricity sector and widely extracted regardless of technology choice.

1: https://onlinelibrary.wiley.com/doi/abs/10.1002/admi.2019004...
If you're not going to try to engage in reasonable discussions I'm not going to continue to respond.

The first event is ancient history and started with a public personal attack by said individual against Musk, and the second Musk apologized for as he was misinformed by others.

> So what you're saying is he bullshits and he lies.

No that's not what I said. Please follow hacker news guidelines.

> Please respond to the strongest plausible interpretation of what someone says, not a weaker one that's easier to criticize. Assume good faith.

https://news.ycombinator.com/newsguidelines.html
GPT Developer Livestream [YouTube]
Most of the time I know exactly what tests I want to write but it's annoying to write them. Copilot autocompletes, I check it and then I use it.
I'm not suggesting you work on your own exactly, I'm saying that 10-20 out of work software engineers could probably do a lot of damage to existing corporations including Microsoft by building their own LLM against them to build as good, or better products.

People are assigning almost super natural ability to ChatGPT 4 already based on the demo video. If that exists, there's little to no reason why I couldn't use ChatGPT 4 to help me build my own more efficient ChatGPT 5.

At this point, I probably won't need a "manager", I'll be managing my own stuff.

You're right I'd need to eat, but I'm sure a lot of people on HN have a years worth of savings to get started building new things. There would probably be also a lot of VCs who have no where else to put their money, at least initially.

That or these LLMs aren't actually as capable as advertised, even if they are impressive and mostly we're talking about hypothetical scenarios, which I think is most likely.
I have been using Duolingo for years.

I find that you can't really learn anything, you can only practice something you already know. You won't learn grammar, it's only useful for sentence translation drills. And those drills are artificial, e.g. one sentence at a time, not using context, which is a big part of Japanese. It also has problems with characters with multiple readings (many). It often introduces a character and drills pronunciation before introducing the meaning.

While I have gotten use out of it for sentence translation practice in addition to other studies, I likely won't renew. I would recommend using another tool, e.g. LingoDeer.

I don't see this new feature as being useful. Instead of using ML to try to explain what I got wrong, how about just paying someone to write some text to explain the sentence?

Their sentences are already a bit odd. Now I am supposed to learn to talk like an AI? That's very cyberpunk. Sigh.
Say what you mean instead of hiding behind low-effort sarcasm.
I'm confused. Elevator is going DOWN. Person wants to go UP. Presses UP button and elevator stops and lets someone off (not in response to a call). Person who wants to go UP doesn't notice it wasn't a call response and gets in elevator and notices it is going DOWN. Waits the entire DOWN cycle and then presses desired floor button. Elevator is now in UP mode.

What's the problem?
Since this is now an extra thing you can do with bonds (if you're a bank), that presumably increases their value, and thereby drives down their yield, right? It depends on what the lending rate on the bonds is. I assume this is calibrated so buyers are indifferent between buying bonds and taking some other alternative... Surely the rate is lower bounded by that on short term treasuries, or else you'd just borrow against bonds to buy T-bills and collect interest...
People thought it was just a word prediction when it said "or else" then played with it too much, now they're banned.
People don't want tenaments popping up in their nice single family neighborhoods. Why not create one of those magical 15 minute walkable cities from scratch? A brand new, carless EXTREME density city? If it's such a dream come true, people will be sure to move in. Right? It seems pretty obvious that the folks who own property in cities which exist now don't want ultra-dense housing in their nice quiet neighborhoods, so let's put the WEF dream city concept to the test and create one from scratch.
Ignore the nay-sayers in this thread. I doubt the ones commenting have spent many days personally observing or personally doing the problem scenario you are solving for.

This is spectacular for telemedicine in the post-covid regulation environment.

The new model is an onsite medical assistant taking patient vitals and setting up the Zoom, the patient then talks to an APRN (Advanced Practice Registered Nurse) in the patient's field (e.g. subacute care, gerontology, etc.).

The APRNs spend 30 minutes reading the file, tele-consult with a patient for a half hour. Medicare pays for the half hour. Then the APRN has to spend ~60 minutes turning that session into the EHR notes. Many just don't, they make an ultra short note, and hope Medicare doesn't challenge it. Patient loses. If too strapped for time, they also may not pre-read, because they only get paid for the video conf time. Patient loses.

Downside I see with this is the APRNs doing telemedicine are making about 1/4 of the rate they should be, and can't afford an expensive tool. The telehealth provider is not going to pay for it, they get paid for the 1/2 hour, the wasted time is not out of their pocket, so they won't spend to make it up. This is going to be on the nurse, who likely can't afford it.

On the plus side: time saved with this tool would go directly to ability to pre-read, or ability to see a patient an hour instead of one per two or three hours. It would also permit a higher caliber of expertise nurse to do tele-medicine visits in off days, because the time saved could bring comp back more in line with the expertise.

Go for it!
Again, this is not about being able to write the prompt in a way that allows GPT to find the answer. I’m not doubting its ability to do so. It’s that a human can reason through why the answer should be different, despite any common priors, and arrive at the correct judgment.

It indicates that there’s still something a human does that the machine doesn’t, even if we’re not able to place what it is. This is neither an argument for nor against progress towards AGI, just an observation. It’s interesting regardless (to me).
It’s not particularly relevant. Regulators aren’t there to ensure that soft bumpers are in place for companies like a kiddie bowling alley.
In these particular circles the idea of privacy at a technical and ideological level is very strong, but in a world where the biggest companies make their money by people freely sharing data every chance they get, I doubt that most would object to an affordable way to better their chances of survival or winning a court case.
My biggest gripe with C# at the moment is the lack of discriminated unions. It feels _so_ close to being good with type pattern matching, except we don't have exhaustiveness checks! Super excited to see this proposal and I can't wait to have this
You are right, my prompt is incomplete. It is an example. As a journalist with first hand knowledge of the events I can prompt craft a complete article with my core facts. Most of what you asked is already out there, possibly all prompt crafted by a human with knowledge of the subject.

If I prompt craft an article about SVB, and the LLM learns to emit language about SVB from my article, then all future prompts can utilize what it has been trained in. The origination of facts would be humans writing prompts. But the language models would still incorporate that.

My point is that humans would still be responsible for processing facts of the world and entering it into computers and computers would “learn” those facts from the prompt created content. Maybe we would skip the prompt creation step and just start encoding facts directly as semantic facts and we can stop writing language to encode a fact, and just use language models to create human readable communication of fact. It doesn’t matter. Facts would still be sourced by humans, even if the language is crafted by machine.
Anecdata, sure, but Apple employees seem to be relatively not as well compensated as those in other FAANG companies, at least in terms of pure salary.
Ok but most medicine isn't emergency.
If they're using LUKS then I think trimming/discard won't be possible.
I’m convinced when the AI is released that triggers the singularity, the last human comment made on the internet will be on HN: “this isn’t that big of a deal, really.”
if you're really curious, you can just look it up on levels.fyi.

total comp for a senior engineer easily breaks $300k at any of the FAANGs. at the same time, downleveling is common for people who don't grind leetcode problems pretty intensely. I know more than one person with 10+ years at the "senior" level at other companies who only got a mid-level offer at FAANGs. and they still took it; it was more money even with the downlevel.
I actually thought that Apple had about the most cash on hand of any tech company or even almost any corp but I guess I was very wrong. Apparently it’s only #20, and MS, Alphabet and Amazon have more cash. I’m not sure how much I trust that they really do though (I definitely trust that Apple does).

https://www.financecharts.com/screener/most-cash
In my case about 50% of the test code is just boilerplate, so I usually type the test name and generate the rest. Most of the time I have to rewrite the actual test logic (although very trivial tests are sometimes correct), but I probably keep more than 40% if we're talking tests specifically.
I'm thinking about this in the context of GPT-4 going from bottom 10 percentile to to 90 on the LSAT and similar standardized tests. What's going to happen to this figure when they get bigger and better models to drive Copilot?
I feel compelled to recommend a couple of books: Mind and Nature by Gregory Bateson and Alien Information Theory by Andrew Gallimore
> Throughout human history, anyone can profit off of hearing something you said in public.

I think the big difference here is that this will now be automated. This comment I'm writing right now is being "donated" to any company that wants Hacker News on their dataset, but they didn't even need to go through the work of reading my comment to use it, they just feed along with hundreds of terabytes of random text they get from the internet and apply heuristics/other models to filter the dataset.
I feel somewhat uneasy about it, specially when writing code now. I don't think my code is good in any way shape or form, but there's a reason I license them as GPL, I don't want it used without being contributed back in some way, I write that for the greater good. License infringement was always a touchy subject since it's quite hard to find license infringement in proprietary software, but now that an opaque black box is involved in that process the people write the software might not even know they violated a license.

Just throwing ideas, I'm not really in favor or against LLMs using public datasets. At least on one side, it levels the playing field among all participants. On the other side, however, big tech will always have an edge in training and testing these large language models. My current stance is to just wait and see what happens, and then react accordingly.
There are. But their impact and likelihood to be that persistence probably raises flags.
Maybe it's something else ?

I am genuinely not sure what they mean, this is the timecode in the announcement: https://www.youtube.com/live/outcGtbnMuQ?feature=share&t=651

It seems to say that they use Be my eyes "to make the product better", so it could be humans in the loop during captioning, or maybe they are using volunteers data from Be my eyes as training set ?

Or it's completely opposite, and that Be my eyes is using the OpenAI APIs ?

My guess is that it is both ?
This. VCs advise their portfolio companies on any number of mundane business arrangements and cash management should on that list.

I strongly suspect that SVB's relations with the VCs interfered with this obvious item.
Don’t forget the diversity boost from this strategy!
You can't unring a bell. Very true.

Nevertheless, the development of AI jurisprudence will be interesting.
You're making exactly the same point I am making. I was just substituting the word "coarseness" for "frequency" in an attempt to make it more accessible for people who have never studied this topic.

I'm glad someone else sees the frequency space folly of the diffusion process. If I had time, I would test the hypothesis of doing all the learning in frequency space rather than trying to shape the profile of the noise. But I don't have time so feel free to steal my idea.
You can’t reach the brain through the ears
> They've been trying to de-personalize banking since back when I got my first ATM card in 1983 or so.

For personal banking, absolutely. But the property management business I bought, and then sold, had dedicated account managers at both banks we used, and both they (and the previous owner of my company) had an expectation of personal contact and fairly regular conversations--both because our customers also used those banks, but also just because it's the norm.

This was in 2020, for reference.

Business banking isn't all startups.
No, though all banks now have protection against the HTM assets fire-sale conditions which caused SVB to fail, which, from the perspective of stockholders, executives, and non-depositor creditors is a lot better than infinite deposit insurance, because its a lot stronger protection against failure (which wipes out those three groups), even if its not a stronger protection for depositors if failure happens anyway.
How many watts of power does your 2 year old use?
> short mental leap

It looks like climbing a tree to reach the moon to me.

AI like chatgpt aren’t writing new code, they’re outputting code following their inputs, which is code found on the internet. That’s useful to an individual, but by its nature can’t go beyond what’s already there.

If you hunt around on SO, you aren’t going to find code to generate an AI that can code a better AI. Because no one’s created that code. That’s how current AIs work too, so they aren’t going to be able to do it either, no matter how large and capable the models become.
I feel like it has been getting worse for me in the past few months. I will write a comment and it will autocomplete - but have something wrong - almost like using chatGPT to try to generate code. Mostly right - but not quite. Things it would have gotten in the past.

Maybe it's just me.
Its actually not true, but is that relevant? Can't a simpleton of IQ 60 be the bearer of golden ears?
You seem to equate variable "measurable puzzle-solving skills" with common sense and capacity to act on a specific domain; please don't do it, because it makes the rest of us feel sorry for you.
For me the worst part about this is that writing tests tediously makes me reach for layers of abstraction on my test code. And then suddenly my test code is complicated and needs its own test code, and changing a test can often be problematic to the abstractions I foolishly employed.

Being able to churn out the boilerplate for tests, which can make DRY a non-concern, is great. I just hope that if I do this, I never get sloppy, and I always review the tests.
This looks great! Thank you for making and sharing!!
Mirrors my experience down to the friendly hire manager who ghosts.

You are probably getting paid more than you would have locally. And locally higher level opportunities are harder to come by.

100x more choices for employers isn't working out better for them. They would rather have the same amount of candidates but higher quality for cheaper but they get a mountain of resumes instead. Hiring ends up taking 3 months and too many man hours.
PLEASE don't do donate to MIT. MIT is overcapitalized, and this, in particular, is waaay overcapitalized in light of the super-sleazy sale of edX for $800M.

I'm a member of the MIT community for over a quarter century (including right now). There are a lot of things one can do to help MIT, but giving money is NOT one of them. It actively harms the Institute to have more.

MIT's endowment stands at $25 million per faculty member. More money leads to worse behavior. This is one of those cases where there's plenty of money, and less would be more -- lead to better research, better teaching, and less fraud (which is now overrunning the Institute).
Interesting detail about military costs though;

Is that "having the unit" cost or is it "broken unit replacement cost" ?

Per "unit" (for some value of "unit") costs frequently include the averaged out development and daily support costs which are not insignificant.

Eg: as a silly extreme example, a unit broom cost might include three thousand years of prior art broom development along with the costs of having a ten man team dedicated to being available 24/7/365 to use the broom along with a wood working and paint shop to maintain and oil the broom.

This is somewhat higher than the actual cost of replacing a snapped single broom.
I bet the person who wrote the article and the person who wrote the title are two different people.

Both did the jobs they’re supposed to be doing. The article writer knew what they were talking about, and the headline writer knew how to get clicks.
Microsoft Research had early implementation for this kind of visual sign language translation with Kinect & ASL recognition in 2013 or so. I expect that with the death of Kinect in the market it stayed lab-bound.
I really wonder how a site like that "fact check" can get things so wrong. Like I just took most of the stats at face value until I see something I'm familiar with. In this example Hancock County Ga is about 70% black, not white as they state. As well, and I don't fault them for not knowing it, but it's truly about 95% black. The north end of the county is vacation homes that people will claim as a primary residence for tax purposes but practically no one lives there. It's over an hour on dirt roads to the nearest dollar general.
Criticizing and attacking your ideas is the job of the people you’re pitching ideas to. They have nothing against you personally and they don’t think you’re stupid. I’m sure if you pitched me one of your individual ideas I’d take it apart and start looking for weaknesses, because that’s the type of person I am.

I think the “patches upon patches” is a really interesting way of formulating the causes and symptoms of some of the systematic and technological issues in the world. That’s why I vouched for this post, despite the title.

I don’t have advice for you except that you won’t succeed if you’re beating yourself up.
Are these billionaires also robber barons?

https://www.forbes.com/sites/chasewithorn/2022/06/02/lebron-...

https://en.wikipedia.org/wiki/Michael_Jordan#Business_ventur...

https://en.wikipedia.org/wiki/Dr._Dre#Entrepreneurship

https://en.wikipedia.org/wiki/Jay-Z#Business_career

https://en.wikipedia.org/wiki/Kanye_West#Business_ventures

https://en.wikipedia.org/wiki/Tyler_Perry

https://en.wikipedia.org/wiki/Oprah_Winfrey
finally we can prove that there are no humanity existing!
I’m not an apple basher and spend thousands a year on them, but what exactly are they at this point other than a commodity tech company? They’re not going to space, saving the planet or transforming technology (any more).