skysight-inc/HackerNews huggingface dataset:
Lower cost of operation leads to lower costs of goods for the average consumer. Net win in the end, as economic resources are utilized more effciently.

Same reason we use 3$/hour labor to make clothes rather than $30/hour. How much would clothing cost then?

Is it fair to burden the working poor with prohibitively expensive goods to raise wages beyond a market equilibrium level? No, not really. Decades of economic analysis to corroborate this viewpoint.

Though there will always be a winner and a loser with shifts in income. Can be cases where it makes sense to advantage some groups at the expense of another, even if it's less optimal in a total sense
I get what you're saying, but let's not downplay how difficult secret rotation is out the the real world of physical devices.

I work on robots. Let's say you want to rotate the very important image signing keys. If you're lucky enough to have hardware that supports multiple keys (not universal), your process might only be as painful as producing doubly-signed images, coordinating global updates, and field servicing an inevitable percentage of the fleet that had weird issues.

Worst case, you'd have to find every unit around the world and physically replace the PCBs.

I'm personally going to avoid both without some extremely good reasons.
"Allow 3rd party apps" should be a benefit of twitter blue, problem solved.
I would love to see Best Buy, B&H Photo, or similar site run with this idea. They would get great marketing and help the world out, even if just a little bit.
Sadly, just yesterday Kathleen changed settings to manual approval of all signups: https://groups.google.com/a/mozilla.org/g/dev-security-polic...

But yes, we who are already subscribed will enjoy the sporadic, but colourful drama that brews there.
I do a ton of voice dictation, and the notes are usually haphazardly written and rife with structural and semantic issues.

With the appropriate prompt I can literally just toss the entire block of text into chat GPT and it will spit out a polished structured version of my original transcript, I've probably saved dozens of hours already.

It does an excellent job summarizing and restructuring existing data.

I have heard people using it for fiction generation, but the results that I have seen are highly unimpressive and tend to be extremely formulaic. Impressive for a LLM but not for a good storyteller.
At this point, why spend your time contributing to a company which has made it clear that they don't care about you? I miss some of the Twitter community but I'm also keenly aware that my choosing to use the service helps their business and encourages people I know to do so as well.
I don't think we ever developed any software targeted at the Lisa (or if we did, it was in the brief period before I joined). We were always developing for the Mac, initially cross-compiling from Lisa.

We did move to Mac-based development after not too long. I have zero memory of why/how that happened, but I'm sure it was clear even at the time that the Mac was the more sustainable long-term platform (also the Lisas were insanely expensive). Still, for a while there it was a real stretch to squeeze a reasonable dev environment into Mac hardware. I remember – and this feels insane as I'm typing it, but it happened – at some point we actually paid someone to fab an add-on circuit board that we somehow glommed into our Macs (these were probably 512KB or 1MB models, I can't remember) that doubled the RAM size. The additional RAM couldn't be used for normal applications, it somehow manifested as a RAM drive. We had one RAM drive in the add-on memory, a second RAM drive partitioned from the standard motherboard memory, and the rest of the standard memory was used to run dev tools and/or the application under test. Putting all of the source code into a RAM drive was necessary to make the development experience tolerable (I can't remember whether the concern was source code navigation, build times, or both... EDIT now that I think about it, it might have been the object code rather than the source code that needed to be on the RAM drive; or perhaps both).

Different times...
There's nothing strange about that. Why pay $10 a month extra for something that can be eliminated with $20 worth of hardware?
I am reading it correctly. They do not have a right to privacy, because we all have the right to know who the government is keeping on lists. Regardless the line of thinking reeks with hypocrisy - the government of the United States has been doing nothing but trampling privacy, yet when it comes to top secret government surveillance state programmes they hold it close to their chests
I've seen immigration officers go on power trips before, and it ain't pretty. That much discretion with little if any opportunity for the potential victims to retaliate goes to some people's heads. And then they just need an excuse.
Pretty sure that is a reference to DoubleClick, which Google bought, who has a pretty long history of allowing their network to be used to distribute malware.

The basic summary as I remember it is:

Website A has a deal to show DoubleClick ads.

DoubleClick can choose to directly show an ad from their network, or sell the spot to another smaller ad network.

There may be multiple layers of reselling here.

Someone signs up to some tiny ad network that is just happy to get customers and don't care too much about vetting.

That someone probably uses a stolen CC to buy ad space, and because you can inject JavaScript as part of your ad, this person injects some malware.

There was a bunch of pretty high-profile cases of this happening on major websites (NY Times and Wired, iirc). Some were done using flash, back when that was a thing.
It’d be a great add to a store or store adjacent credit card. 1% cash back and we’ll match to a charity or something like that.
I agree in general, but in this case it was pretty clear-cut: TrustCor was a CA primarily to serve a single product, MsgSafe.io. This is the same product that was found to have bundled the only known unobfuscated Measurement Systems malware and was also found to be claiming E2E encryption when very rudimentary tests showed they couldn't possibly be encrypting the email.

Since their only known benefit was issuing certificates in support of a quite-possibly-shady email system, I'm comfortable with saying that the cost-benefit analysis comes down firmly against TrustCor.
This is why one should always be wary of platform risk, as a startup founder. While it might be profitable in the short term to use someone else's platform, it always comes with the implicit risk of being shut down on a whim.

For growing an audience, email is platform with the lowest risk.
Sorry but this is... a little imaginative. Britain was a fairly serious exporter of cars in the late 40s and there was a significant domestic demand with waiting lists measured in years for new purchases. This included people of middle class incomes and there were a lot of cars on the road prior to the war, 2.5 million by the mid 30s, so many that the number of pedestrians being killed by cars was a huge issue at the time. Car culture certainly peaked in the 50s but driving for pleasure was a big thing at the time, although it was called 'motoring'.

So Orwell was very aware of the increasing use and interest in cars and he was certainly aware of his fellow Englishmen owning cars and driving them for fun. The more likely source for his exclusion of personal vehicles from 1984 is his vision of the world of 1984 as one of permanent war and rationing with everything being controlled by the state and individuals only receiving the barest of necessities. That world has such a paucity of personal property that Winston must make due with a nub of a pencil to write with. The chances of anybody in that world having a car are very slim, even for their ruling class. All their remaining manufacturing would be devoted solely to their war effort.
Dumb question: would wearing a seatbelt help? (assuming the chair is fixed)
I personally think Flavor Aid rolls right off the tongue and into the garbage.
> I don't think I've ever seen evidence that ad publishers, or anyone in that massive ecosystem, can inject arbitrary code, running in the browser's context, into websites who monetize through Google AdSense script tags alone.

I've personally witnessed it three times over the years because it usually ends with all users of the targeted sites being pushed to malware sites. Yes, it's happening via Adsense, and usually takes 1-3 days to stop. See also this article, that was one of the waves I dealt with: https://www.seroundtable.com/google-adsense-hijacking-19709....
One was an international charity, and tiny sums definitely matter. 12 cents buys a de-worming pill that helps keep kids free of intestinal parasites for 6 months. $35 bucks plants 20 trees in a village. Their main focus was a brick and wire based stove that prevented unnecessary deaths and blindness by reducing smoke, built locally from local materials for pennies.

Big charities tend to focus on where they can have the most impact. Smaller charities tend to focus on making an impact in a place that needs it.

My current charity work is as as Dev and Technical Consultant for a company that basically helps organizations do online evidence based mentoring and support in both urban and rural communities, using an app they developed. Founded basically by a professor to implement her research, than passed on to a new CEO when it took off. They work with a lot of Big Brothers Big Sisters chapters.

My contract runs out in Feb and I'm not sure what I'm going to do after that, given all the local layoffs. It's not like the stuff I'm working on is at Scale or uses Machine Learning or requires K8 or whatever is going to make some hiring manager's eyes light up now.
Read about "RNN Vanishing Gradients". LSTMs help here, but see eg https://medium.com/analytics-vidhya/why-are-lstms-struggling... for the problems there.
Though in this case, it has more and better quality context (i.e. input), like requirements or anything else that isn't in the model's training set.
Writing commit messages (or comments in general) is like practicing vocabulary, but for your mental understanding of the current problem.

Taking a step back and thinking about what I have actually done often helps me to find misconceptions, the worst bugs of them all.

Automating this away would be like learning a foreign language by pasting book exercises into a translation app... you may get good grades, but does it help your understanding if you didn't put in the effort yourself?
How will AI-Generated art influence building design?
The whole point of pronouns is to reduce cognitive overhead. If pronouns become something you have to remember for each person then you might as well drop them from the language and use names all the time.
Agtech Startup Fundraising Decks: Financial Model Template Sales and Marketing
Big Brother saw fit to build you a walkable city, and this is the thanks you give him?
I think that's just a microwave or dishwasher with a computer glued on. The computer needs to be actually integral to the operation of the appliance, and in general it needs to be involved with motion control.

So e.g. a self driving car could qualify as a robot.
Thoughts and helpful comments on this..Thanks!
> subsisting on their own work output but depending (or being subsidized by) the work and resources of others.

How to even begin defining who is subsisted by who?
Is the FAANG engineer creating sustenance or is he subsidized?

I see something else. Millions of people working their asses of, many in multiple jobs, in the richest country in the world.

Most of the productivity increase of the last decades has gone to the richest part of the population. Who's subsisting on who?
Hating?

Bemused .. and you've essentially confirmed why.

Enjoy your personal myopic bicameral Stockholm.
I cofounded Airplane.dev which you may want to look at. Everything you build in Airplane is normal JS/Python/React etc code that you can store in your codebase, version control, setup environments against, etc.
I disagree - the fundamental problem with mass-market goods is the value proposition.

For a new product to replace an existing one, it has to be at least two of cheaper, better, and/or more convenient.

More convenient is out, and plant-based meat substitutes are neither cheaper nor better than meat. They need to be both.

(Better is a complex of attributes. Taste, texture, variety, tolerance of varied cooking and consumption patterns, keeping duration, side-effects of consumption (like nausea, feeling full, or fibres sticking in teeth), and in the long term, health effects, among them.)
Be more impressed if I write the commit message and GPT writes the code than vice versa.

If I wrote the code, writing a commit message is trivial.
It's not. The diff, which is the sole input to GPT-3 here, does not carry the causal context - that is, why the change was made. Nor does it carry the broader understanding necessary to summarize the what succinctly and accurately - things like high-level design terms that mostly exist on diagrams or in issue trackers, but not in the code itself. By adding those details in a commit message, the author can add extra information.

And yes, technically they could do it in comments, which would allow GPT-3 to process it. Except, I think it's highly unlikely for a coder using ChatGPT to write commit messages for them to actually author useful comments on their own. If they write any at all, they'll probably use ChatGPT (or Copilot) for that too.
Something that's standard at the company I work for is commit messages always having the ticket number at the start, and it helps figure out why something was changed so much more than a commit message.

Ex of a recent change I saw, but anonymized a bit.

PROJ-12345: Added preview flag to video player

PROJ-12345 in Jira:

When a preview of a video is playing in the persistent player, preroll ads will display on app launch.
I think the point here is to expose the nofly list as an unethical and/or illegal government program by leaking it to journalists that can evaluate and summarize it's contents, not to help them secure it better.

White hat hacking assumes that the hacked party is doing normal or ethical business, and that helping them secure it would be generally beneficial.

Also, I'm pretty confident that Maia, as a famous hacker and cybersecurity expert, isn't going to be easily duped by someone impersonating a journalist, and knows how to verify such things.
I can confirm it from what we’re seeing on a video prediction task. Future frames end up blurry. The first frame is sharp, but by frame 3 it’s only crisp when it’s very certain of its prediction. Any kind of rare movement, it goes “I kinda know what it roughly looks like” and smears fingerpaint all over the canvas.

The overall trajectory looks ok, so I’ll be more rigorously investigating whether it’s possible to squeeze more precise context out of it. For example, since the first frame is sharp, you could discard the other future frames and use that first frame as the last history entry (rolling completion window). If “the first frame is always sharp” is true, then it seems reasonable that you can generate N sharp frames with that technique, which might work better than predicting N all at once.
This isn't true - the model architecture matters a lot.

In general RNNs cannot handle long term dependencies (ie, long pieces of text) because the gradient vanishes. It's unclear how this solves this problem although they do reference the "attention free transformer" paper: https://arxiv.org/abs/2105.14103
I need to figure out how to turn this into a 5G shield. Will make millions.
So entertainment costs have gone down as subscriptions have gone up?
So what's the level of effort to create ChatGPT equivalent products?

Is it something where we'll have 100s of competing AIs, or is it gated to only a few large companies? Not up to date on current training/querying costs.

Can these models feasibly be run locally?

Given the large number of competitors already announced to ChatGPT, I fail to see how the space will be easily defensible or monetizable (despite large value add, competitors can easily undercut eachother)
Is AI the New Crypto?
sure, the next line after your quote says they realized it's not enough and massively ramped up production in the 70s.

there was never a ban or stigma on private cars, it's simply a very expensive and wasteful way to move people, especially in 1948 when it was one big smoldering ruin. And when everything is walkable, and there is plentiful public transport. But if you really really wanted a car, you could eventually get it and people had millions of them.
The local gas station gives me 5% off for using their card AND 5% to a local charity.
I'll add that while the OED dates the singular they to the mid-14th century (betw. 1335-1361), use as to avoid gendering an individual is found from ca. 1450; the OED also gives earlier attestations for them (1429) and their (1398) of the same usage.
two https://www.bmw-m.com/en/topics/magazine-article-pool/5-litr...
What is not known, however, is if those returns were achieved through legal means…
Musk also promised to step down based on a majority poll. What ever happened to this happening?
> In the last PTO I was involved with
I've built TwitRiv that does exactly this. It is open source where you can use your own API key and then there is a hosted version (the hosted version would not use your own API key but you authenticate with OAuth2).

https://github.com/dashboardq/twitriv

https://twitriv.com/
Switch professions, before it’s too late.
Definitely not seeing Alphabet's 20:1 split in July 2022 when I glance at Yahoo Finance charts - you sure about that? Or are you saying they're adjusted for some corporate actions but not for others?

EDIT: OK, I see there's a note that close is split-adjusted but not dividend-adjusted.
Moreover the more modern approach is share repurchases, which are largely not subject to the tax drag and use the same money that was used historically for dividends.
Meanwhile Trump and his followers were out there making racist comments and saber-rattling at China. That astoundingly boneheaded diplomatic failure unnecessarily ratcheted international tensions to the point where, no, we absolutely were not able to simultaneously research the cause and also collaborate on mitigating the impact of the virus. That diplomatic tension was repeatedly highlighted as a specific reason that investigation would not be tenable. If you're going to talk about the erosion of trust, be honest and look at how the conspiracy theorists have been contributing to that erosion.
Most malware I see distributed in the wild comes from Google Ads. Often because the advertiser buys the top spot for "OBS download" so their malicious download is listed above the actual legitimate website for OBS.

MapQuest is my favorite one for malicious Google Ads, because it basically targets seniors. (This is a double whammy for Goigle distributing malware because these are usually pushing malicious browser extensions served by the Chrome Web Store.)

Google allegedly delists these when it finds them (usually after a ton of people have lost their crypto or whatever), but it keeps their profits from doing it.
That seems really low, lots of older devices out there or samsung not updating?
This looks great, thanks for the link
> Name any large organization that has ever worked itself out of needing to exist.

This is an interesting take, but got me wondering, what organization _period_ has ever worked itself out of needing to exist? I'd love to hear examples.
Orwell was an optimist. We carry view screens in our pocket and can be tracked and monitored backwards in time.
Davos sponsored “research”?
"The German language doesn't understand?" :)

(wa should be ga. wa means German is the subject that is doing the not-understanding.)
Thats step 1 of 2. The 2nd part involves forcing the role of SCRUM Master on either the leader of the team, the least lucky person who draws the short straw or finally the lowest producer on the team. Now - you still got SCRUM Masters, you're just not paying for them. Ive seen this done in real life, believe me, it works about as well as you think it would.
Exactly. Nobody is getting filthy rich off bobs dog shelter but people certainly do milk the big charities. Often the tiny ones that benefited from Smile were run by volunteers and all funds raised were used for non-salary expenses.
Just something I was thinking about... while setting a range for tasks instead of a simple single estimate is a improvement, my intuition is that tasks should be described by a log-normal curve (https://en.wikipedia.org/wiki/Log-normal_distribution).

It's very deceptive to say a task will take 4 hours. It's much better to estimate it'll take 2-8 hours, as you do. I think it's another step more realistic to say it's a log-normal curve... then you can get a prediction like:

1% - complete in 15 minutes
5% - complete in 1 hour
10% - complete in 2 hours
50% - complete in 4 hours
80% - complete in 8 hours
90% - complete in 16 hours
95% - complete in 32 hours
99% - complete in 64 hours
99.5% - complete in 128 hours
...

...and so on. This mimics how task duration actually works in real life, in my opinion. The average completion time wouldn't vary that much, but the tails are treated very differently. With this you'd be able to sum up the probability of the the deviation from that average over many tasks.
I moved for work is the simple answer. Came to find pretty quickly life in Melb is pretty great, possibly one of the greatest places to live.
At national labs they need software engineers to build internal tools for scientists in different fields. DOE labs are not all murder building machines, in fact most aren't. They do all kinds of research depending on the location. DOE national labs are a big tent.
Stealing one of patio11’s ideas, there is a whole bucket of internet points waiting for the person who can carefully document Google’s history of allowing arbitrary JavaScript injection. Two people mention examples below, but they reference DoubleClick (acquired by Google in 2008), and a 2015 incident.

Is this still possible? What measured does Google take to limit what advertisers can do?

P.S. in addition to internet points, you’d also be providing important information for anyone who cares about privacy and security. But I’m a little cynical, so did you hear about the Internet points?
Ask HN: It appears Twitter is hiring. Would you apply?
It seems that they are targeting some folks leaving Microsoft.

After all the recent public headaches, would you consider it as your next workplace?
How you have been making tea WRONG your entire life [video]
This is fantastic.

Wasn't the original Lisa source code famously lost by Apple?
And if you had 8 million in a bank in 1923 there's a good chance it would have all been gone when the bank collapsed and there wasn't FDIC insurance.
I don’t believe anyone alive would definitely know the answer to this question, but I can share some options:

1.) George Orwell didn’t think private cars would catch on in any significant way. He did write this in the 1940s so that’s a possibility.

2.) He wanted to convey that the government controlled everything, even transportation.

3.) The government wants to control attention so they can broadcast propaganda (and expect rapt attention) at will.

4.) George Orwell wrote scenes with cars, they were poorly written and didn’t make an edited manuscript.