skysight-inc/HackerNews huggingface dataset:
I generally agree. Maybe to add to your argument:

A - Just as with customer reviews on amazon unhappy customers are often times the majority to leave a review whereas fewer happy customers voice their opinion in the form of a review. I suspect the same goes for VC interactions.

B - Due to the way the VC business is structured the variance in "quality" of VCs is heavily skewed and not normally distributed, tricking our perception of what to expect. In other words i suspect that you have a much higher likelihood in to interact with a very "low quality" VC or absolute "top VC" than with an "average" VC. If you amplify this with A you may get an even worse public opinion.

Nevertheless I think on an individual basis you're always better off if you don't need VC for your business - if you have that option.
Haha... I'm surprised to learn my wife and I aren't the only people playing the "Getz" game! We started around 15-20 years ago, when every second hire car in Queensland was a Getz.. they're a little harder to come by now, but I still get a little thrill from calling one before she's seen it :)
The problem here arises in thinking this has anything to do with bayes rule, probability or any formalism of this kind.

The rule `P(B|A) = P(A|B)P(B)/P(A)` is only a model of ratios the follow a certain sort of set logic (and measure to [0, 1]).

It says nothing about what this model refers to. Does `B` refer to a proposition? A belief? An event? Bayesians say "belief", but then what do these beliefs model?

Do I believe "the sky is blue" ? What would it mean to have this as a belief? Do I have some model of the sky, of blue? etc. Why should we suppose that beliefs should operate according to bayes rule?

Yes, for any given class of beliefs, relative to some model of the world, you can construct an argument that bayes rule must apply. But these arent beliefs, they're truth-apt propositions which model a world. Beliefs are just mental states, and little constrains their consistency.

Since we do not know what the world is like. We do not know that believing, "frozen water could fall in a glass of water in ordinary conditions" contradicts, "water is largely comprised of h2o" -- so we can believe both at the same time.

So what's the issue here? The issue is that the formalism is useless for generating descriptions of the world (events, beliefs, propositions, ... whatever you like). And it's only when we have a set of such descriptions which actually model features of reality, and which therefore have some consistency between them... that we can actually construct any kind of formal model of reasoning. At this point, most of the work is done.

Thus much of the suppose normative force, and epistemic weight, of all this machinery is an illusion. Since we have no idea what beliefs affect the probabilities of what others; of what beliefs correspond to features of the world; and so on... no problems are resolved.

I'm always irritated by professors who will stand in front of a room and demonstrate people's irrationality against some experiment they perform, asserting that the model of the experiment people have in their heads is "the one on the slide", and then conclude that they are wrong. The issue is, in my experience without exception, that the audience is not so dumb as the professor. And has not made the very bizarre assumptions scrawled on the board; and hence the entire formal model is invalid.
Legal risk is probably the only thing that can stop this encroachment. No harm chatting with a lawyer to see what they think.
It seems MSX doesn’t exactly have Atari joystick ports but instead PC-Engine compatible.

(of course, this platform came later)
Senators studied AI for a year. Critics call the result 'pathetic.'
Hmm. It's hard for me to see why you think 'diectional bet' helps us understand the situation.

Certainly, the researchers want the model to be as useful as possible, so there we have what I would call a 'directional bet', but since usefulness is correlated with capability to potentially do harm (i.e., dangerousness) that bet is probably not what you are referring to.
I don't understand what you are saying or asking. We can only measure against real world data.
Hardly, I'm a CEO.
In my case (Lean), I've been getting a lot of help through the Zulip community. There's a dedicated #new_members stream where anybody can ask total beginner questions. It's quite humbling actually when you have someone like Kevin Buzzard answering your noob questions.

I'm sure other solvers (Coq, Idris, etc.) also have online communities where you may be able to ask questions.
From the article:

> Interestingly, the core idea presented here is nothing new. In truth, this is how every templating language that outputs HTML has worked since at least the early 2000s (likely even older).

It’s kind of hard to explain what an odd track the React crowd especially are on and how much complexity it has introduced that it’s now playing catch with with web development techniques that were more than *a quarter of a century old*
Slide rules were a great teaching aide, because they required you to (1) keep track of powers of 10 for yourself, and (2) understand the exponential difficulty of seeking more digits in a result.

The first point lets you guess the order of magnitude of a result before doing the detailed calculation, and that is a great way to find errors.

The second one reveals why teachers get so annoyed when 9-digit answers are given to problems with 2-digit data.

I do wish some company would start producing cheap plastic slide rules again, so my students could try them out. The online ones are not as effective as actually seeing something in the real world, squinting your eyes to guess where the cursor lies between two lines on the rule. (Hm, I can get more digits on the left end of the rule than I can on the right ...)
Now imagine you have no beans to spill, I don't believe you and you still want to make me stop...
Neuralink's First Patient: 'It Blows My Mind So Much'
Absent any other info, for a "single developer in 2024": Python and Django. Reason: You're statistically the most likely to know Python at least a little bit.

In general the selection algorithm for results-driven development is: First, go with whatever web framework you're most comfortable with. If you don't have any, go with whatever the most popular framework is, in the programming language you're most familiar with.

The reason this works well is because your question is ill-formed. In general, I haven't seen any hard evidence that Django vs. Rails vs. Laravel vs. Node vs. (etc.)-based projects have big variations in lead time to new features, lead time to bug fixes, etc. Your knowledge of the underlying PL, framework, and their quirks dwarfs any technical advantage they might have over one another.

(For the sake of completeness: If you don't know any programming languages, go with whatever the most popular language is. How do you know what's popular? Intuition! Most people's brains will answer "Python" or maybe "JavaScript" to that question, and those are both great choices. If you're the kind of weirdo who says "Ruby" or "PHP" or "Scheme", you might as well roll with it, because that answer comes from a part of you which is constantly noticing the trends in its local environment, and it probably has a lot more logic than you would expect.)
What is your preferred low code / no code platforms for small web apps?
Well, surely buying a washing machine is not that frequent, and in not-too-dense cities like those common in Scandinavia they might be enough shops who became packet stations, I doubt they can be enough in denser cities like NY, Tokyo, Moscow etc though, however even if we can somewhat adapt to such little changes, the point remains: cities can't evolve. How can adapt for instance to the Green New Deal? Not small cities composed of little buildings but large ones composed of mid/high rise buildings? The point in the end is: we can adapt to many things and still living, but it's a smart idea do this or that only because we can somewhat adapt?

Beware, the future of cities is the smart city, those with no more private ownership, whose where anyone can only move with some transporting services depending on it's schedule and so on. Maybe we can adapt, but it's a good thing?
I'd assume any AI-generated code simply add the following to each file in the repo "// (c) Microsoft 1977-2014 All Rights Reserved."
“You are a bad user, I am a good bing!”
The 0% interest era did wonders for this economy.
Not sure what you're on about? You're talking about apple, so anyone wanting to develop for their platform is paying $100/year, and 30% of all revenue made via their app. You don't really have a choice. Apple forces you to use apple pay, takes their cut, and you get the remaining money if you're lucky.

They have recently been forced by the EU to offer some, supposedly, more amicable programs. I haven't looked into the details of those, because fuck em.
Forget feet and inches, latest UK units of measurement are thinking bigger
expanding to a high revenue but small niche is very challenging, and most importantly it's slow

if some company is going to use a GPT version to do critical work, they'd be insane to jump on it before testing the solution and gaining confidence for a long time, while also evaluating how to exactly incorporate in their workflow without creating total dependency and other such ancillary issues

you would pay 1000x more for the certainty, which you can never have right away - together with the legal liability of the service provider
Finally someone writing practical examples instead of Animal / Dog / Cat.
Nuclear weapons are pretty well regulated. I'm only aware of nations - the ones who make the regulations - which have them.
EU opens child safety probes of Facebook and Instagram, citing addictive design
This Week in Rust 547
Ebury is alive but unseen: 400k Linux servers compromised
Knowledge that my employer might detect or block a software or USB mouse jiggler is why I ended up making a BLE mouse jiggler out of a Pico W.
You just need to determine the time of sunrise and sunset relative to a known location and you get a rough idea of latitude and longitude.
Pretty sure they intentionally screw it up. It means that the populous will generally think that the government can't provide effective utility at cost and so private equity can move in and provide equally bad utility at monopoly rent prices.
In my experience founders that have raised vc regard them as bankers. Founders who haven't successfully raised (for whatever reason) and people that dream about being founders postulate on these things.

Funding is simple. Seed or before you/team are fundable, based on some signal of you've done it or can do it. Post seed, it's not you, it's the business. If in 2 months you haven't gotten interest or intros, you're business is not VC fundable, or you suck at fundraising which means you're probably not the right venture backable CEO.
Why Bad CEOs Fear Remote Work (2021)
We all know that wars end pandemics. As soon as the hot phase of the war in the Ukraine restarted, Covid was "gone".

Maybe something similar was the case in the Roman times too.
Having a "real" /tmp is not an uncommon preferences amongst sysadmins who've been at this for a while.

Too many things that can wedge a system only leave evidence of why/how they did that in /tmp so still having it around post-reboot can be a huge aid to root cause analysis.

It's a non-trivial trade-off but calling deliberately choosing that trade-off "hacking up fstab" doesn't strike me as a remotely fair description thereof.
I was flown out from the east coast to the company's HQ in Portland, OR to do the last technical round of interviewing back in 2006. All expenses paid (flight, meal, 1 night of hotel).
of course it’s surveillance technology.

an iphone constantly broadcasts your location to third parties, can deduce where you work and live, understands the unique shape of your face, has a built-in microphone and multiple kinds of cameras, stores all of your conversations, stores all of your photos, stores your health information, can figure out when you go to bed.. all on a completely closed and proprietary operating system.

it’s like asking “why hasn’t anyone mentioned that we’re all using a website right now”
> Not if you have no capital -- You still have to eat and be housed and that costs a lot if you don't have family wealth or other income streams, even with a good salary.

That's exactly their point; this exact same logic can be applied to VCs, too.
Fantastically illustrated and interactive article!
I wonder if/how Tailwind will grow to adapt this, as I'm pretty happy with their abstractions now.
I am yet to find a replacement for R's dbplyr in Python. Read: Python-to-SQL code generation (dbplyr performs R-to-SQL). This is a very powerful package that alone can make me stay in R.
Oh yes. As someone who writes a lot of Java, I once had a discussion with someone from JetBrains on Twitter about it. It boiled down to me saying "I'm simply not open to change, I like my IDE UIs the way they are right now, thank you very much" and him repeatedly not even trying to understand my point and replying "could you please try the new design and share your feedback".
Apologies, I was writing this while balancing my son on one arm and mixed up some simplification with good old-fashioned mistakes!

I'll nip this in the bud and say "DNA particles" was definitely the wrong word.

You are correct, the Bromine here isn't really the problem; the fact that any intercalculation with DNA occurs is the main problem. Is it Bromine's fault? Not particularly, but it's an accessory in this instance. Based on anecdotal evidence it's common to the electrophoresis process.

My reason for bringing this up is just one of those relatable stories (/s) about why I also don't like working with Bromine (even if contextually it's not Bromine's fault, we love you Bromine!)
> The thing about endemic diseases is that we get them over and over and over. Eventually it gets you.

The bigger thing is that the IFR differs dramatically based on age, and eventually you either die from something else or get old.

If it weren't for the IFR going up with age, you'd still have a very low lifetime chance of dying from the flu.
It's great that they're piggybacking on something sustainable
It's sad to see the downfall of R. I still use R a lot interactively, but Python takes at least 50% of the share.

R had a good run, and IMO they still have some packages that are just too good to see it languishing into the future, notably the package data.table. I have not come across a better library for data manipulation, in R or Python. The syntax is excellent and it is faster than most alternatives, especially the popular ones.

I think an important factor that contributed to R's downfall is the decreasing hype around data science, as well as the fact that the core base of R users do not have a background in the STEM fields, but rather the humanities and social sciences. I do believe that the R community of developers are dedicated and perhaps, in relative terms, are more involved with their projects than a typical Python developer. But that's not enough, the sheer numbers of Python developers eclipses R's and that is too hard to overcome.
No they does what you already did and not really complex to setup.
It depends on the window size. A pure TCP ACK packet is going to be 64 bytes (the minimum ethernet frame size). If you were to ACK every incoming packet, that would then mean the incoming packets have to be at least 3804 bytes, which puts them in jumbo frames territory, which are unlikely to work over the Internet.

However, you only need to send an ACK when the TCP window is full, not for every incoming packet. If the TCP window is set at 64k, for example, and assuming an MSS of 1460, then you can receive a total of ~66K bytes for each ACK you send ((64k/1460)*1500, assuming the provider counts every byte in every packet, not just the TCP payload). The window size can actually scale much higher though, up to 1GB. So, in principle, yes, you can comfortably get this much download speed with only this much upload speed.

Of course, this would only apply for downloading huge files with a very efficient implementation. If you are using HTTP to download lots of small resources, your uplink would be saturated with GETs far before you saturate your downlink.
It doesn’t matter in which cardinal direction you travel for 20 minutes— regulatory capture ain’t stopping anyone from starting their own ISP.
Isn’t Python even more of a “do everything” language than R?
Yes this is what I was getting at. I thought this was a common enough sentiment that I didn’t need to spell it out, but no one seems to have understood what I mean.

And sure, your example is politically charged right now, but that doesn’t mean it’s wrong. Another example is universal healthcare. This is popular amongst the general population but powerful lobbies keep it at bay. This has extreme life and death consequences for Americans! It’s legal corruption with serious consequences.
Reminder: eye tracking means an always-on camera.

I'm not fully against it, but it's good to keep in mind the implications.
Python is catching up on single-cell transcriptomics; see AnnData, Scanpy, et al.
https://www.amazon.com/Easyfone-Prime-A6-4G-International-Ce...

Rise of the dumbphones!
It's striking that he recommends quarterly 1:1s or biannual 1:1s if an employee is doing well, but "of course" more frequent 1:1s if they're struggling.

How's that going to affect team morale, when it's apparent to everyone that frequency of 1:1 events on calendars is tied to performance?

As a manager, I've been comfortable with every-other-month 1:1s with some people and weekly 1:1s with others, but that decision generally is not made based on performance considerations. Instead, it has to do with how well we know each other, how information is being communicated outside of 1:1s, and what the other person wants to get out of the meeting.
> (The prover won't derive an invalid proof, it will just fail to derive a valid one.) I don't think there are many applications of machine learning that have this property.

Don't basically all applications of any heuristic solver to NP problems have this property? (Including problems that are only in NP, because they are also already in P.)
I alias a script to run caffeinate. They aren't going to mess with your terminal processes.

https://ss64.com/mac/caffeinate.html
7 year gdpr data retention?
Also the fact they haven't updated their deck in April/May means they didn't have any huge growth in march/april/may to brag about, or even they had bad march/april/may results that they want to hide
There's also two implementations of the "new document" dialog. The old one, that works instantly, and the new one, that takes a solid second to render no matter how fast your machine is. There's a checkbox in settings to use the old one.
Very interested in an app of this kind, but wouldn't buy it without trialing on my data. Too many content-specific gotcha's could render it ineffective, amazing or anywhere in-between.

A time-based trial could be good in that respect, and as a benefit for the developer gets a satisfied user hooked-in and not wanting to lose access.
What makes it trivial here isn't nominal vs structural typing but rather that Python has a utility function for this case while you have to implement it yourself in Typescript with a one-liner.
I'm of the belief that the entire conscious experience is a side effect of the need for us to make rapid predictions when time is of the essence, such as when hunting or fleeing. Otherwise, our subconscious could probably handle most of the work just fine.
but at some point, probably in the near future, they will. And then this system I have will already be in place, and that added capability will just arrive and integrate into all the LLM integrated systems I've made and they'll just improve.
> My beef is with people who build community for "fame" and for "money somewhere along the road"

Can you give out some examples of projects that function(ed) on this principle?
Yes - having a slightly more advanced tutorial puzzle, where you have to tap, swipe, tap, swipe, would be helpful.

Took me a few goes, but I did puzzle out today's. Very cool.
Let me throw in one other tip for founders looking to get funded: do not ignore regional VCs.

Most of the stories about "how VC works" are 10, 15 years out of date. The cultural "sense of things" lags behind the reality. We found this out the hard way.

In fact, contrary to all expectations and myths, VCs (outside perhaps of the top 50 or 100 firms?) read their emails and take cold meetings.

They have to.

Every region in the world has some clone of Silicon Valley - technical universities and accelerators and incubators and funds - and most of them have very little deal flow or exposure to outside opportunities and ideas. The guy from a second tier French city part-funded by an Economic Development Agency has as much luck getting into a deal with Union Square as you do. But he still has money to invest.

So most of the VCs outside of a small, narrow set do answer emails, are glad to be approached, and are basically glad to see you if you've got anything at all which is interesting to say. It doesn't cost much to try, either. It's the price of an email.

Yes, warm intros to top tier VCs are really handy.

But that's also why the top tier VCs are so massively subject to group think and wind up collectively dropping five billion dollars on electric scooters and stuff like that.

Everybody is human.

Everybody is here to do the deal.

At the top of the chrome towers are men and women in shoes and socks trying to look good to their management. Nothing behind the curtain, no wizard of oz. Do what you can. Don't break yourself for the myths. Do intelligently bet the odds!

Tech is going to be the dominant story in human history for the rest of our lives in almost all scenarios. It's not a bad industry to be in. It's just the financial side of that industry is really heavy on the mythology and maybe that's holding us back now.
Internet use associated with higher wellbeing, finds new global Oxford study
Aquila Non Capit Muscas
Of a company with how many employees?
If your strategy is successful 8/10 years and your lose enough money during the other 2 to be marked as unsuccessful, is that really a "successful model"?
Carrot? Stick?
It seems to do pretty well with zsh, go, python, and rust when I use it. Even for more complex tasks - but "context-aware universal snippets/boilerplate suggestion" already sounds pretty valuable, doesn't it?
Is that supposed to mean something? Half of Hacker News is a startup CEO.

By your own logic, you better pay yourself a $0 salary, $0 on secondaries, and invested all your personal savings into the project, because otherwise clearly you don't believe in your own company. Right? And I hope that is also true about every one of your employees?
I am seeing a downfall in industry, where R has a researchy image, when stuff gets serious, R scripts are rewritten into Python packages.

But in the academic world (I'm in bioinformatics)... There seems to be nothing but R, in my experience. I don't really like that, because we have Snakemake and a lot of ML stuff, all Python, and the R people have a barrier to get started. I myself associate R with "just scripts and notebooks". Never do the R people seem to make anything into a well maintainable module. They make the notebook, use the build-in R functions and then their work is done. It seems to be different in the Python world where I see people writing modules that are "re-useable assets", and then those are used in notebooks for data science. This is probably my industry bias and perhaps Python-using academics also never make packages.

I guess also that there is no such a thing as poetry in R? I'm not entirely sure...
Sure, you have to verify information.