skysight-inc/HackerNews huggingface dataset:
I think it is more complex than the author thinks.

There are clearly defensible aspects for ai startups. Specifically I think these are:
a) in-context and collaborative features (since working alone with ai through a chat box is unlikely the only way we will interact)
b) gated knowledge/data (since commonly available technology can be leveraged with unique data)
c) edge computing and offline usecases won't be the center piece for many classical companies and therefore can be very well exploited.

I wrote up a framework to assess LLM powered Startups/Ideas here: https://assistedeverything.substack.com/p/the-three-hills-mo...
Java has effectively a non-tearing guarantee for pointers. Regarding performance and alignment, Java pointers are commonly 32-bit even on 64-bit Java, due to compressed pointer representation. (Java objects are always aligned to 8-byte or 16-byte boundaries, so the bottom 3 or 4 bits of a pointer can be shifted out, resulting in 8 or 16 times the normal 32-bit address space. IIRC there are even more variations regarding the Java pointer model.)
We can make up hypotheticals to make anything look bad all day, doesn't make them likely to happen. A track record of 75 years with nothing like those hypotheticals says something.

There's no discrimination happening here as Tesla is not a protected group that is covered by this. The right to strike is a fundamental right enshrined in Swedens constitution. The government is very hands off when it comes to labour disputes. PostNord is a government owned private company, their employees are not working for the state.
> Columbus wasn't generally lionised and celebrated during his lifetime, a lot of the mythology about him comes later

Right, but the point is he was lionized during a period where people found his conquests more important than the atrocities he committed, as is consistent with master morality of the time, even if it was not during Columbus' own time.

Similarly, Christianity only became really popular long after the death of Jesus Christ. That doesn't mean his viewpoints aren't an example of slave morality.

> There has always been a plurality of opinion about successful celebrities, modern and historic.

That's a fair point; obviously this obfuscates the situation a bit, but I don't think it disproves the general trend.

> In the not so distant past the writing of the majority either didn't exist or wasn't available for consumption by society in general, and only the writing of influential people survived for us to read later.

Also a fair point, but the observation doesn't rely on learning what the masses think (which I suspect is mostly what they're told to think). We see the same shift in attitude among the powerful elites.

For example, President Joe Biden picked a non-white woman as his vice president, and later vowed to nominate a Black woman to the Supreme Court, to increase representation of underrepresented minorities. If any past president made such a declaration it would have been on record too.

The same is true about a lot of other topics. Homosexuals have existed forever, but large corporations didn't find it necessary in the past to dedicate a month per year to celebrating them, and there are plenty of historical records to prove that.

And so on, and so forth. I think it's hard to deny overall that it's a sign of the times we live in that we must praise and promote the marginalized and oppressed, and criticize and penalize the powerful.
> Good execution remains differentiated. It just requires continuous iteration, evolution and improvement.

But with the underlying basis for everything being open source, everything you learned with "continuous iteration, evolution and improvement" can be copied relatively easily.
Well I can't build a Twitter on my own PC (need other users) like I assume I can in a few years with LLMs you run locally. AI is more general purpose and can do lots or all of the things the algorithms could do before and I needed specialization for. Not only that, but Microsoft and the big players are going to make an AI that is better integrated and more advanced than any startup could for my purposes.
Ha! All my GE switches have been replaced with Leviton now. So far, so good. I think I've had to hard reset and repair one of them in 3 years, so not too bad.

But some days I'm tempted to swap them all for Lutron Caseta. That just gets a bit pricey (both to swap, and then to expand).
ComposedRegex
Most data about [how people work/play/live] is not being captured. Non-public datasets are abundant. Build a tool to capture and utilize that data in a useful way, and you've built yourself a moat.
The license is non-commercial, but:

> For clarity, Derivative Works do not include the output of any Model.

https://huggingface.co/stabilityai/sdxl-turbo/blob/main/LICE...

Doesn't that mean that generated images from it should be fine for commercial?
I think the key benefit brushed on by this article is the potential 10x improvement in access speeds (which has many applications, beyond reducing your s3 op charges).

> S3 Express One Zone can improve data access speeds by 10x and reduce request costs by 50% compared to S3 Standard and scales to process millions of requests per minute.
Yeah. With just a tiiiiiiiiiiny bit more privacy restrictions they can do it. Would you really deny these puppy eyes that? Just a tiny bit, as a treat!

... It's so insidious. So wrong, so useless.
Something that gets overlooked here is that most people will associate the early players for a particular kind of AI (OpenAI) with being at the forefront. Even if there are 100 competitors offering the same service with similar quality, sticking to the best-known provider gives confidence to enterprise buyers, especially when they have to explain the purchase to their bosses or shareholders. This, and the ability to attract and retain top talent, will continue to be an advantage of the early winners as long as they also continue to focus on pushing the boundaries and don't fall too far behind when competitors come up with new advances. Heck, they can even relax and cash out after a while and continue to reap the benefits, like IBM continues to do for enterprise computing even to this day despite (shamefully) not caring to be at the forefront anymore.
He kind of hints at one way to be successful with his mention of Azure and private blockchains. If Intel or Boeing are going to use AI to help with design, they are going to have train private custom models from their proprietary data. I am sure there a several other services that enhance the effectiveness of AI that a startup could be based on.
The amount of experience this engineer has is invaluable.
> OK I have a table in postgresql and I am adding a trigger such that when an insert happens on that table, an insert happens on another table. The second table has a constraint. What happens to the first insert if the second insert violates the constraint?

How can I get help with this now?

Google result 1: https://stackoverflow.com/questions/77148711/create-a-trigge...

Google result 2: https://dba.stackexchange.com/questions/307448/postgresql-tr...

Like 90% of my questions like this are going to ChatGPT these days.

I can figure it out via the docs, but ChatGPT is SO convenient for things like this.
But Where Do People Work in This Office? (2015)
This is really good! One suggestion - enlarge the font when I maximize the window. I'd like to have it on one monitor while I do work on a different one.

Question - is the content kept in the browser and not uploaded to the service? E.g., sensitive appointment or something - you don't collect that per your privacy policy, right? Just want to be sure.

Thank you for making this tool.
I don't have stats either, but working for a company that offers the shuffles for that kind of monetization for streaming media (jitm packaging and remix, drm, personalized ads, live2vod) and enthusiastic Podcast listener I tend to believe quite the opposite. (Jit ad insertion is popular in video (ie FAST) but we barely ever sell this to audio shops)

Dominant (tech) podcasts seem to favour focus on production, not distribution. Spotify went in guns ablaze and mostly failed. Personally targeting outside walled gardens often misses basic stuff like ads in a matching language. Content catalogue is billboard-irrelevant class. Nothing remotely near classic product placement or creator curated ads.
A lot of these companies also misunderstand their value proposition, the classic, "Uber for X," approach to starting a company. Also known as, "Me too!"
Not working for me. Am I going to have to read docs or search Google like some boomer?
How ironic, considering throughout most of history, a large family was a sign of/creator of wealth due to more labor. Now the incentives have reversed due to human unskilled labor being so cheap + dissolution of family obligations.
> Your consequentialist arguments are irrelevant. Whether Congress has the bandwidth or expertise to take up particular issues doesn’t change the governmental structure the Constitution created.

It seems fair to say that you ascribe more importance to rigid fidelity to a 200-year-old document — written by people who knew far less about the world and lived in a much smaller and less-populous country — than to addressing the practical challenges of keeping a nation together, as circumstances change over the decades, in a semi-reasonable manner that kinda-sorta fits the document's text. In Christianity that's been referred to as "bibliolatry" — the idolatrous worship of the literal text of the Bible, in the manner of a golden calf.

https://en.wikipedia.org/wiki/Bibliolatry
Swedish Law was that plates could only be delivered by government owned Postnord.

The courts just ruled that Tesla is temporarily exempted from this law until the case is settled.

Postnord also has many plates in their possession, and tesla can not legally sell or ship the cars they are registered to. The court has just ruled that Postnord can hold on to these plates until the case is settled
I am unemployed in my late twenties and feel like nothing to go right in my life. I pray to die everyday, but I cant say that without getting sent to a mental ward taking another 20 grand of my money and a week of my life.

Everybody involved with mental health is sick. Especially when the healthiest thing I can do would be going outside, but I cant without police harassment. And I am an extremely attractive person who dresses well. Seems like a societal problem.
Following the advice of chatgpt without double checking? Bad idea.

Using ChatGPT as a starting point? Sounds really good to me, been there, done that.
I'm fairly certain the author is speaking to the functionality of the application.
We should tell Amazon that. Will be free by tomorrow.
Ask HN: What smarthome ecosystem is most open, private, and hackable?
As the title suggests.

I walked into a Home Depot yesterday to buy a lightbulb, and was overwhelmed by all the "smart" bulbs with different smarthome service names.

Yes, I do want a "smart" bulb. I want to be able to write some python that can control all the lights in my house.

But I'm wary of anything that needs a round-trip across the internet to turn on my reading lamp. I just want a local network of devices that I can easily control, without fear that a firmware update next month will close them off.
AnyDream Broke Stripe Rules to Profit from Nonconsensual Pornographic Deepfakes
Title edited (too long for HN)
No, it’s valid reasoning.

All things that transport charges are electric currents.
Students transport charges.
Therefore, students are electric currents.

It could be that we disagree on what it means to define something.
I am a SQL wizard and I have to lookup and experiment with the syntax every time I use it. Every engine handles it differently, which is a little maddening.
They for sure can find a use internally for them. Hat-tip to the less-shiny teams like glacier that have to endlessly put out fires on dilapidated old s3 compute/array handmedowns.
Project Bacchus
This reminds me of people saying that search engines were doomed as a business in the late 90's. They have no real moat. All you need is to gather all the text on the internet, make an index, and build it on well-known information retrieval algorithms. PageRank was even in a published paper.

Well, this was only mostly true. With search engines, there was a "winner-take-all" effect. Yes, many companies could build search engines, but Google was just a little bit better. Once one of the search engines is a little bit better, why would you use anything else?

Eventually, Google figured out how to create a real moat, by using click data to improve search result ranking. Even though Microsoft is willing to spend billions of dollars on Bing, they don't have access to Google's user data, and aren't quite able to match Google's search quality.

I believe that many AI startups will have a similar "data moat". If you are the first AI company to get a significant amount of users, you may be able to learn from their behavior to improve the product. If you can do this, you'll have an advantage that competitors won't be able to easily copy.

So just make something people want, gather data on what your users are doing, and use that data to make your product better. If you do that right, you'll keep growing, and you'll be able to describe this simple strategy as a "proprietary data advantage" to give your slides more buzzwords if you need them.
Those in AI that are not data providers or a source of enormous amount of new private data and access to data centers are doomed. ChatGPT wrappers have a huge platform-risk by the GPT marketplace.

The ones that are dependent on VC cash and making little money against open source models or cheaper solutions are going to lose the AI race to zero.
Vid2Doc: Generate beautiful documentation from demo videos
As a machine learning engineer who dabbles with Blender and hobby gamedev, this is pretty impressive, but not quite to the point of being useful in any practical manner (as far as the limited furniture examples are concerned.

A competent modeler can make these types of meshes in under 5 minutes, and you still need to seed the generation with polys.

I imagine the next step will be to have the seed generation controlled by an LLM, and to start adding image models to the autoregressive parts of the architecture.

Then we might see truly mobile game-ready assets!
> However, the new storage class does open up an exciting new opportunity for all modern data infrastructure: the ability to tune an individual workload for low latency and higher cost or higher latency and lower cost with the exact same architecture and code.

I get it, but at the same time that is also what you lost when you locked yourself in with a particular vendor.
By fixing bugs in X11, you get to make nontrivial decisions; that's the point why nobody wants to touch it.
If you think the names on AWS are bad, check the icons out!
You should choose the devices that are the most secure, using the information you have available at the time.

Choosing a foreign government to spy on you rather than your own government isn't a clear choice. While a foreign government is less likely to be interested in you personally and likely less able to directly cause you harm, you also have less recourse against them than against your own government and their interests are less likely to be aligned with yours.

Additionally, your government may be able to co-opt the compromised devices anyway and would certainly have an incentive to do so.

I'd also question that a device that is by-design-compromised is otherwise secure from bad actors. It is difficult to imagine the incentive structure that would make that possible.

Finally, once this personal data has been harvested by either government, there is nothing to stop these governments or rogue elements within these governments from trading or sharing that data with your own government or other actors.
Ask HN: Any interesting CyberMonday deals on training courses?
I know CyberMonday is over but was wondering if any good deals are still around.
> with the underlying basis for everything being open source

The models may be open (or available to anyone who can pay). But so was TCP/IP and the App Store.

Nobody is going to win on the tech alone because nobody has ever won on the tech alone. If your founding team has the relationships to get you ensconced at a beachhead of customers, and your technical team can move fast enough that inertia keeps them put, you have a solid shot at denying that space to other entrants.
This post is all over the place. It's about technology but treads on lesser concerns of it IMO.

The greatest immediate risk is concentration/centralization of power (in human hands).
You will learn very quickly a head start doesn’t mean anything against very powerful competitors.
> This is validated by the absolutely insanely long line queueing up to buy this thing.

$100 deposit preorders without contact with the real thing isn't a sign of how popualr the real thing will be when people get it, its a sign of anticipation based on marketing and brand identity, probably with some FOMO built in.

> I predict that we'll see many more Cybertruck looking trucks in five years, just like we're seeing many more Model Y looking EVs now.

Model Y's just look like normal, pre-EV sedans of similar size for the last couple decades. That was Tesla conforming to the broader market expectations. The Cybertruck is...not that.
A couple of things off the top of my head:

The title conflates languages and their implementations. Different implementations prioritize different things. They occasionally do test different implementations, as in the main Ruby distribution vs JRuby, but it is still annoying.

The second, and I think largest issue, is that they chose the Language Benchmarks Game as the set of sample programs to test. I do not believe that the kinds of programs in the Language Benchmarks Game are representative of the broader set of software written in most languages. They tend towards math-y, puzzle-style programs, and not CLIs, web applications, GUIs, or anything else.

A very specific issue I have is that Typescript and JavaScript are very different in their analysis, and that's very confusing to me, given that all JavaScript is valid TypeScript, and you would execute it in the same way. This may be an artifact of issue #2, which is that the benchmarks game is only as good as the people who wrote the programs, and it's quite possible that the folks who submitted the TypeScript code didn't do as much perf work as the JavaScript code, but it is still a confusing result that's not explained anywhere in the paper.

A final one (and this is the one I remember least well, so I may be wrong here) is that it is not reproducible. They do not mention which date they retrieved the programs from the Benchmarks Game, let alone the source code of the program, nor released the scripts that were used to collect the data, though they describe them. This means that these discrepancies are hard to actually investigate, and makes the results lower quality than if we were able to independently verify the results, let alone update them based on what has changed since 2017, which is an increasingly long time ago.

In short, I do not think this paper is literally useless, though I think that it does not actually demonstrate its central claim very well, and is difficult to evaluate the actual quality of the results, making it a far weaker result than the title would suggest.
Premiere Pro, it's worth it
It's about what the I though the H100 was, that's 700W actually. But even at say, 400W, that's 40MW of power. I guess some datacenters are built in the 40-100MW range from some quick googling, but I really doubt they actually can network 100,000 chips together in any sort of performant way, that's supercomputer level interconnect. I don't think most datacenters support highly interlinked network interconnect like this would need either.
Convictional – HTTPS://convictional.com – Full-time – REMOTE (US and Canada)
Convictional is 25 people working on building the B2B graph - a closed network of buyers and sellers of physical products. Today, that happens over a pre-internet data protocol called EDI. We're making it as easy as possible for companies (small and large, modern and legacy) to trade with each other, disrupting EDI and modernizing $5T/year worth of trade.

We are a fully distributed team with people located across Canada and the US. We encourage you to design your work schedule and environment so they’re optimal for you. We use email, not Slack and default to no internal meetings unless necessary. If you can develop and maintain features, enjoy challenges of reliability and scalability, and can be effective cross-functionally to deliver on commitments to customers, it's probably a fit. Our hiring process is three hours of interviews in total within two weeks, plus a short eng challenge.

Tech Stack: Go, React, MongoDB

Open Roles:

Support Engineer - https://jobs.ashbyhq.com/convictional/e96f8d12-906d-4bfb-8d8...

Reach out to prentice@convictional.com if you have any questions.
Show HN: Play Heroes of Might and Magic II demo from 1996 in the browser
Emscripten port https://github.com/midzer/fheroes2 took me over 24 hours due removal of multi-threaded code - and rather slow compile laptop. Currently Browser Audio API can't run in a worker at all. PThreads are stable in Emscripten but can make issues for example if main thread is blocked via mutexes.

Based on Original port https://github.com/ihhub/fheroes2 THX!
I thought this was a pretty good analysis. And for comments along the lines of "Most start-ups are doomed", the article acknowledges this in the first sentence ("The statement that most AI startups are doomed can be fairly mundane. After all, most startups are doomed, just by the numbers.") but then goes on to make an argument specific to these AI startups.

I do, though, believe the author missed a large class of AI startups that I think will likely succeed in the "Wait, so what IS defensible?" section: startups that focus like a laser on very specific, semi-niche workflows where things like UX and compliance are critical. My best example of this so far is Harvey.ai, whose tagline is "Generative AI for Elite Law Firms":

1. First, elite law firms have lots of money to spend, and they'll spend it if they see an ROI.

2. There are plenty of Web 2.0 startups who won primarily because of first-mover advantage. I mean, Docusign wasn't exactly amazing, world-changing technology, but they became synonymous with "legal signatures over the internet" such that they became the default for this use case.

3. Obviously something like "generative AI for elite law firms" has tons of compliance concerns around it. If Harvey.AI can address that, it's a huge wn. As another example, I know of some big financial firms/banks that have giant committees around anything remotely label-able as "AI" because there are so many compliance concerns around AI (a system that gives you an answer with no visibility into how that answer was generated is anathema to the "everything must be auditable" mindset of the financial world). Again, Docusign is a good analogy here, because so much of their initial work was not in tech but ensuring that there was a legal framework (in many jurisdictions) that would deem internet signatures valid.

My overall point is that a UX that is highly tailored to specific, profitable use cases can still win out.
If you want to start your own, it's kind of a depressing realization to have after working at a start-up or interacting with others. It's not some cool tech or algo that makes the difference, it's things like the CTO is leveraging contacts they made previously in their career to get deals to access data that no mere mortal could get, or board members who broker sweet partnerships with legacy companies that matter.
specifically, that freight has right of way at all times. they basically get what they want and tell amtrack to stuff it.