skysight-inc/HackerNews huggingface dataset:
> But UltiSnips works terribly with neovim [1] [2]. Why? Because UltiSnips uses python, and neovim's python interface is 100x slower than vim's python interface. There are design decisions for this and I'm not trying to say that neovim is bad. I use both vim and neovim. But I use vim+UltiSnips+vimtex for writing LaTeX.

I'm using neovim with UltiSnips (and VimTeX), and I don't really have any big issues with it. I'm not saying you are wrongm but I do think the problem may be somewhat exagerated.
Dark Reader. Seriously.
Can I maybe switch accounts from the first screen instead of the second this rendition? It feels so weird to respond to "hi wrongaccount@gmail.com, click next to continue" with next.
Crypto Tycoon Do Kwon Should Be Extradited to U.S., Montenegro Court Rules
Chomsky used "The current crisis in the Middle East" as a perpetual, long-term safe talk subject because of pessimism about it.

Apropos work relevant 25 years later: Fateful Triangle: The United States, Israel, and The Palestinians (1st ed 1983, 2nd ed 1999) Chomksy
What're the odds that invoice has been paid?
Same here: this video helped me finally understand the basics concepts underlying LWE
In the "Select Voice" dialog, all the DeepGram clips end in a loud click. Might want to fix that.
Google apologizes after new Gemini AI refuses to show pictures of White people
Does the elastic license fall under open source as defined by OSI?
> the whole idea of an “AI winter” is that people did not feel that AI was capable and worth pursuing, the Wikipedia link makes that sentiment clear.

Try counting the number of times people mention phrases like “combinatorial explosion” or other limitations like the single/multi-layer perceptron argument, which are the kinds of problems we’re talking about where the issue was feasibility on the hardware available, or things like “expert systems” which were dead ends unrelated to neural networks.

Now, you can try to change the topic again to hypothesize that some non-blockchain technology will become popular but that’s no more relevant to this thread than the 80s expert systems people were to modern machine learning systems. Different technology and implementations having different results isn’t exactly disproving criticism.
yeah. I ended up building most of the tools I needed to get more productive on doing the growth and marketing for my products.
I'm a solo bootstrapped marketer. So I had no choice.
Duke Shuts Down Plant Collection, Causing Scientific Uproar
Air pollution could be significant cause of dementia
That's why we would want it to run locally! Think about a fully personalized model that can work out some simple tasks / code while you're going out for groceries, or potentially more complex tasks while you're sleeping.
I'll give magit a try. But imagine if you had to use TEX to format anything more than trivial documents. It makes me want to get a Vision Pro and see if a direct manipulation git UI could access the full potential but with visual discoverability and safety.
> That 7 second video consumed just 1,841 tokens out of my 1,048,576 token limit.

is this simply an approximation done by Gemini in order to add some artificial limit on the amount of video?

Or do video frames actually equate directly to tokens somehow?

I guess my question is, is there a real relationship between videos and tokens as we understand them (i.e. "hello" is a token) or are they just using the term "tokens" because it's easy for a user to understand, and an image is not literally handled the same way a token is?
Email addresses can be anonymous, though, unlike (for the majority of people) phone numbers.
Wow that just upgraded a portion of your cluster to development software with no prior warning? Glad I haven't had time to mess with this service mesh I suppose, how absolutely user hostile.
Why not here, I also wonder how this is compatible with it being a cncf project.
I was going to say the name was somehow familiar. Then I went searching through the Mozilla bug tracker and found this comment: https://bugzilla.mozilla.org/show_bug.cgi?id=58308#c90.
noob to "semi pro" isn't the jump you are looking for. To get to a level even remotely close to 'semi pro' would require thousands of hours of playtime.

you just need to grasp the basics.

Phil Gordon's Little Green Book and The Theory of Poker (Sklansky) are common recommendations.
You should try yourself. The bing image generator is open and free. I tried the same prompts, and it is reproduceable. (Requires a few retries, though)
Google to fix AI picture bot after 'woke' criticism
Google, Environmental Defense Fund will track methane emissions from space
A good fix would, in my opinion, understanding how the algorithm is actually categorizing and why it miss-recognized gorillas and humans.

If the algorithm doesn't work well they have problems to solve.
If someone asked me how much it would cost to move a billion Postgres rows, I would say "probably under $100."

I just had to move 500 million "rows" into S3, and it came in at about $100. I would expect S3 to be more expensive.
Remember, if it's using a similar tokeniser to GPT-4 (cl100k_base iirc), each token has a dimension of ~100,000.

So 258x100,000 is a space of 25,800,000 floats, using f16 (a total guess) that's 51.6kB, probably enough to represent the image at ok quality with JPG.
Who would be the one to actually provide competition? AMD, Intel, someone else?
You bring up a great point. There's already a wide range for what it means to be a "CNCF graduated project" in my opinion, but this further dilutes that meaning.
thanks. i will have to try it out. but it does sound like "rewriting history" in git et al.
I use both Vim (with wiki.vim, a plugin I've made based on Vimwiki) and Anki. I find the combination is very powerful!

I keep a journal for work related stuff and a wiki/personal knowledge base for everything (both work and personal). I use Anki to memorize things I believe may be useful to have readily available and I use my wiki as an extended "long-term memory", sort of.
If is saltwater the pressure should be even higher, plus the weight of 40km of ice.

200Km is uncharted territory for earth, with a maximum depth of almost 11 Km. But life is able to stand until 800 bars at least. More than this is metabolically defiant in organisms made of cells. Vertebrates can survive 760 bars at least.

The majority of the volume on is oceans could be empty and barred to life, but there is still a lot of space for conventional life (and Titanlings could be very different and defy our standards)
Google's AI chatbot spits out 'diverse' images of Founding Fathers, popes
Let's discuss this again in 3 years.

Nvidia is still very expensive and has 5 years of nothing revenue and earnings growth baked in.
Hyperjumps Math Game
There's a new section at the bottom of the article about that.

It looks like an image is 258 tokens, and Gemini splits videos into one frame per second and processes those as images.
The area under the graph is a sunk cost. What matters is the decisions being made today, not the things nobody can change anymore.

US CO2 emissions per capita were higher in 1950 than they are in China today -- and in the US today -- because in 1950 there were no nuclear power plants and renewables weren't a viable technology yet.

That isn't true anymore. Which is why the US is replacing coal with renewables and gets three times as high a percentage than China from nuclear and its emissions per capita are trending lower. But that's harder to do than building them to begin with, because to do that you have to be competitive with a fossil fuel power plant that already exists rather than one that needs new capital in order to be built. And yet it's still happening.

There is no excuse for building new coal in the 21st century. They can't say that nuclear and renewables don't exist or aren't viable yet. They can't say that they're existing plants and they need time to transition. They shouldn't be doing it.
I wish math notation and computer programming had just settled on postfix over prefix early on, it's so much more natural to read. Of course, we kind of get it with object oriented programming, some languages have UFCS [1], F# has that pipe operator etc.

It's funny, when learning programming, I think Haskell was the language that introduced me to the pattern of having a chain of operators processing a stream to build up a result (and I'd later cover it again in SICP), and I loved how clean it looked compared to imperative code. But I now find it one of the harder to read languages due to it all being prefix, whereas Java/Kotlin/C#/Javascript now all have stream constructs that use method calls, so read left-to-right, source-to-sink

And I'm reminded that I need to give Forth a proper go sometime

[1] https://en.wikipedia.org/wiki/Uniform_Function_Call_Syntax
apparently, only on dark alleys at night.
Yeah, what you say makes sense. I am sure you are not the first person to think of this. I wonder if a pre-made library exists for it? I couldn't find anything with a quick search.
Was this a "5 aces" level of poker hand? Or are we not quite there yet?
You mean Ur-Quan Masters? I think there are small differences, and some bug fixes. My bet is it's probably better than the original.
now we're talking about innovation
But it doesn't start at the top, it starts at the middle.
All Java conference talks from 2023 ordered by the number of views
This is the completely and utterly insufferable mindset that one gets when they spend too much time around other engineers and actually begins to buy into the completely fabricated self-important narrative that they are God’s gift to the world. It s a profession! Pull your head in. I’m not sure what sort of highschool bully trauma you’re trying to make up for, but being a bully yourself isn’t the answer. Interest rate rises couldn’t come soon enough, because there’s obviously at least one generation of techies that have been tricked into thinking that ‘finance’ starts and ends with “take a bunch of dumb VC money, build a completely unsustainable business, and change jobs every 18 months”.

I’m not for one second saying that Boeing hasn’t been seriously mismanaged. The whole debacle has just inexplicably been some sort of lightning rod for people that want to flex their self-identified nerd cred by saying “ENGINEER GOOD BUSINESS BAD!”
Seems like the title would be more accurate specifying postgres to snowflake

In the end, there's companies paying to use snowflake, & despite what one may believe they aren't price oblivious. Having their application in postgres is a cost optimization, but then still relying on snowflake for data warehouse integrations
please consider commenting more thoughtfully. I understand this is a joke but we don't want this site to devolve into Reddit.
This feels more like a personal attack than a response to the argument made.
Replacing the CEO in addition would have sent a stronger signal of commitment to safety.
There's nothing rational about this valuation. Sir Isaac Newton would like to have a word. There was a certain radio company, a switch manufacturer, a video game retailer and a car company. Money inflows dominate the price and money outflows will dominate it in the future, but will it be tomorrow, in 6 months or 3 years is a different question.
Honestly, if you think about the availability guarantees that these FAB's have to deliver, I'm kinda surprised they don't run off of IBM mainframes. Can't believe it but it would be a perfect use case. High bandwidth I/O, paired with ungodly, over-the-horizon-radar like availability.
That message is from updating the linkerd CLI, so not quite that bad. My script updates the CLI and then the cluster, though, so if I hadn't interrupted then it would have.
I can’t wait for a junior developer to push back on my recommendations because they asked an AI and it said otherwise.
Atuin – Magical shell history
It's the dose that makes the poison. Drinking too much water will kill you by messing up your electrolyte balance, yet nobody says drinking water is unusual.

There were indeed plenty of missteps, but the imbalance due to GE Capital was the wrecking ball for the company.

> The effective end of GE Capital is the end of an important era for the former conglomerate.

> The company has been trying to become leaner and more profitable in recent years, selling off its appliance business in 2016, its NBC Universal entertainment unit in 2011 and its light bulb business in 2020, among other divisions.

> And while those businesses had a higher public profile than GE Capital, no business was more important to the conglomerate during its heyday than GE’s finance arm. It provided financing on many of its industrial products, such as jet engines and electric power plants, as well as a key source of financing for small business and consumers. It even became a major player in the subprime mortgage business.

> But when the housing bubble burst and the subsequent meltdown in financial markets in 2008, no part of the GE business was wounded more than GE Capital, and what had once been a key driver of the company’s success became an albatross...

(https://www.cnn.com/2021/03/10/investing/ge-capital-close-ai...)

Or "GE dismantles the business that ended its dominance a decade ago" referring to GE Capital: https://abc17news.com/money/2021/03/10/ge-dismantles-the-bus...

Or "How decades of bad decisions broke GE" which sounds like your basic thesis (and I agree there were many problems) but describes GE Capital as "the finance company that dealt GE a near-fatal blow during the 2008 crisis." https://money.cnn.com/2017/11/20/investing/general-electric-...

GMAC / Ally Bank likewise distorted GM, but the example of one company is enough for now.
A Techno-Industrialist Manifesto
yeah the web think is pretty limited. no context lines on diffs at all, and I couldn't find a link to the full-file diff from the changeset. But i wouldn't worry too much about the nest usability yet.
Eventually I will want to debug/change the script where we get right back to the situation where I want cat at the front of the line.
So, how many GPUs are needed to replace all the white collar workers? Maybe that’s the potential of NVIDIA.

After software have eaten the world, now AI is eating everything.
Outdated stacks are career ending. If you spend years on old stacks, it’s extremely hard for you to switch jobs and command the same amount of career growth.
Oh fair enough then.
As a cat servant I care not about gut-busting.
Introduction to Multimodal LLMs with LLaVA
3% isn't that low when you consider how many people there are.
Yes.

And more you've heard about.

And yet more you haven't, since they're in stealth.
I believe syntax highlighting with VimTeX (which is suggested in the blog post) should be quite fast and generally feel snappy.

Disclaimer: I'm the author of VimTeX.
You do understand that this has nothing to humans in general right? This isn't AI recognizing some evolutionary pattern and drawing comparisons to humans and primates -- it's racist content that specifically targets black people that is present in the training data.
Did this affect all interfaces including commercial APIs? Or can commercial users "lock down" the version they're using so they aren't affected by changes to the models/weights/parameters/whatever?
Based on my experience working with Postgres users since a decade (ex-Citus/Microsoft), I don't think Postgres is there yet to support every possible workload - ex: medium to larger scale (ex:1TB+) workloads in Real Time analytics, Data Warehousing, Search etc. Sure at smaller scales, it is very versatile to support any workload. That is why it is super common for companies to complement Postgres with other data stores. Don't mean to say that Postgres will not get there, I think it will! But I see it to be more in the long term.
I'd predict Amazon and MS. A huge portion of Nvidia's revenue is from data centers run by amazon/MS, and they both have at least some experience in designing their own chips (more on Amazon's end with Graviton). I'd expect that they are both motivated to try to design something in house that is more suited to their needs and cuts out the nvidia profit margin.
Roger that! Will fix it.
As probably the person in the entire world who has been wanting this for the longest, thank you!
Please share on Pijul's Zulip, and ask for any help you may need.
It clearly can't have human understanding without being a human.

But that doesn't mean it can't have any understanding.

You can represent every word in English in a vector database; this isn't how humans understand words, but it's not nothing and might be better in some ways.

Fish swim, submarines sail.
Personal anecdote: A few years back I left my car at a dealership for some warranty work that was going to take a few days. It has a soft top and they left it in their gated lot overnight, where it got broken into (slashed the top, ripped open the glove box, stole a cheap machete I got from a white elephant exchange). They claimed that they weren't liable at all since I signed a waiver and should go through my own insurance. After a little push back, they caved and covered it under their insurance like they should have from the beginning. I don't go to that dealership for anything anymore, for that and other reasons.
not being able to set ssh parameters (and key paths, etc) via .ssh/config was a nightmare on git a long time ago. impossible to not leak identities to random servers. impossible to have curated identities for the same remote. imposible to use adhoc jump hosts. etc.
They're producing hardware...there are physical limits to growth rate. Is growth decelerating because there's only so much chipmaking capacity available, or is it because of a demand slowdown? The net income levels suggest maybe it's the former.

Totally open to being wrong here!
Yes, somewhat unavoidable.
What tool did you use to submit to all of the directories?
You nailed it on the head. People dismissing this because it isn't perfectly accurate are missing the point. For the purposes of analytics and surveillance, it doesn't need to be perfectly accurate as long as you have enough raw data to filter out the noise. The Four have already mastered the "collecting data" part, and nobody in North America with the power to rein in that situation seems interested in doing so (this isn't to say the GDPR is perfect, but at least Europe is trying).

It's depressing that the most extraordinary technologies of our age are used almost exclusively to make you buy shit.
That might explain why I found GPT4 via Azure a bit useless unless I turned the temperature down…
what you say makes sense for corporate software, where LTV is high and customers stay with you for years or even decades.

In microsaas b2b that targets other startups, the average customer churns in about 4 to 18 months.

So let's say I priced my tool at $15/mo, as many of the competitors.
This would mean that an average user LifeTimeValue would be somewhere around $199.
Which means that selling it for $199 upfront actually is a better option for me, because I get money upfront and it's exact same LTV.

Some users will pay 199 and stay with for 10 years.
But some will close down their site in 3 months.
So in average, I will get same outcome.

When it comes to sign ups, if the startup is healty, its signup must be growing Month over MOnth. Not just as cumulative value, but in general, if I had 10 sign ups this month, I must get at least 11 next month, to maintain 10% MoM growth and double every year.
In this case, my revenue is not recurring, but if you zoom out and look at the numbers, then it's like a floating window, I get growing monthly revenues, even from LTDs.

So long story short: revenuewise, there is no difference between $199 LTD or $19/mo.
But marketing-wise, LTDs are far better, I stand out from all the competitors now and my growth rate is pretty high.
> Moving 1 billion rows is no easy task

This isn't an accurate premise. Modern OLAP databases make dealing with billions to trillions of rows manageable, including on a single server. Exporting "select * from table" from an OLTP such as Postgres or MySQL into an OLAP is trivial and quite fast, and if 100M rows/sec on commodity servers isn't fast enough, there's always performance tuning [1].

[1] https://altinity.com/blog/loading-100b-rows-in-minutes-in-al...
There are three main buttons. The big red button with a globe I have no idea what it’s supposed to do, it does nothing when I tap it. The home button doesn’t seem to do anything either. Then I lost interest.
great write up! Thanks
There is no need to implement large scale censorship and moderation in this case. Where is the security concern? That I can generate images of white people in various situations for my five minutes of entertainment?

The whole premise of your argument doesn't make sense. I'm talking to a computer, nobody gets hurt.

It's like censoring what I write in my notes app vs. what I write on someone's Facebook wall. In one case, I expect no moderation, whereas in the other case, I get that there needs to be some checks.
Not crazy! I listened to a software engineering daily episode about pieces.app. Right now it’s some dev productivity tool or something, but in the interview the guy laid out a crazy vision that sounds like what you’re talking about.

He was talking about eventually having an agent that watches your screen and remembers what you do across all apps, and can store it and share it with you team.

So you could say “how does my teammate run staging builds?” or “what happened to the documentation on feature x that we never finished building”, and it’ll just know.

Obviously that’s far away, and it was just the ramblings of excited founder, but it’s fun to think about. Not sure if I hate it or love it lol
NodeShift wants to challenge the hyperscalers with its decentralized cloud
I was listening to the audiobook of "The Future" by Naomi Alderman, and it spent a fair bit of time talking about MENACE: https://en.wikipedia.org/wiki/Matchbox_Educable_Noughts_and_... which I had not heard of before.

Inspired by this I've spent some time thinking about how to encode games of battleship, and honestly it's genuinely a fun problem to explore. (I'm not going to share any of my ideas because I've deliberately not looked into the literature on this and I'm sure it's well-explored.)
The real moat is that Google has access to all the video content from YouTube to train the AI on, unlike anyone else.
This a great, well researched response, and I don’t disagree with the sentiment, but I think we should be careful not go give these companies too much credit. America has, understandably, been investing less in manufacturing over time at a roughly steady rate of decline: https://www.stlouisfed.org/on-the-economy/2017/april/us-manu...

manufacturing's share of nominal gross domestic product (GDP) has dropped from 28.1 percent in 1953 to just 12 percent in 2015

So I don’t think it started in the 90s with walmart. Although the Fed makes an interesting argument in that article: we don’t manufacture less, we manufacture the same but it’s just worth way less as inflation ticks along. They describe American manufacturing as “fairly constant”, which I think would be considered a very hot take by most Americans
I don't think this is a big problem with VimTeX; I've worked quite a lot on these things, and my personal experience is that VimTeX is now quite fast both with syntax highlighting and with folding; although for folding, you do want to use the various "hacks" like the manual fold option or a plugin like FastFold.
Yes, I was also pretty moved by *Figure 6: Toaster Disposal* -- I love when research papers go 200% on context
Is there a limit to the number of GPU's a company may need? I mean for example, assume no one can compete with Nvidia. At what point does it become more feasible to rewrite your architecture or use less GPU's, since it seems Nvidia can charge, and does charge, what ever they want for a GPU. And can charge more if they so wish, which they might. And how long would that take?