skysight-inc/HackerNews huggingface dataset:
These are some good points, but it doesn't seem to mention a big way in which startups disrupt incumbents, which is that they frame the problem a different way, and they don't need to protect existing revenue streams.

So, the Shirky principle: incumbent companies are dedicated to keeping around the problems that they solve. Startups get to define the problem differently, and can solve a problem that an incumbent is dependent on.
Once upon a time, you could buy various things from MS that came with support incidents. I had an MSDN subscription that came with two per year. Using an incident got you an actual support engineer who would be helpful and escalate issues if necessary. And, if your issue turned out to be a real bug of any significance in an MS product, your support incident would be credited back.

This was great for developers (real support was available, and spam was discouraged), and it was great for MS (they found real issues that affected paying customers and they got feedback to improve their documentation).

I wonder whether this program still exists. I have the impression the overall quality of MS documentation has declined.
Most companies completely missed the point of SRE/PE/DevOps and keep them on separate teams doing sysadmin toil work and oncall thrown over the wall by engineers who are only concerned with feature deadlines. They regress them back to sysadmin duties and get none of the value of a true SRE program.

SRE should always be a subtitle for a SWE and not a separate position, and they should always be embedded with SWEs into one team either building products of infrastructure. The shared ownership and toil reduction only works if you have these two things.

All this said, I think the regression is also due to the fact that real SREs are rare. A solid SWE that also has deep systems domain knowledge, understanding how to sift through dashboards and live data, and root cause complex performance problems is a master of many domains and is hard to find.
Please try to remember that one of the the most abused quotes in Software Engineering is the old Knuth chestnut about "Premature optimization is the root of all evil."

The full quote is as follows, "Programmers waste enormous amounts of time thinking about, or worrying about, the speed of noncritical parts of their programs, and these attempts at efficiency actually have a strong negative impact when debugging and maintenance are considered. We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil. Yet we should not pass up our opportunities in that critical 3%."

He specifically does not recommend writing code that is obviously inefficient. He is clearly referring to engineers optimizing routines by introducing new, additional complexity. He is not recommending that anyone write obviously, ruinously slow, bloated code.

Writing software is an art and a science.

Optimization is no different. One frequently missing part of our process is to keep a watchful eye on features that are obviously toxic to performance during development (i.e., multiply-nested for loops, many large external dependencies, introducing and frequently iterating over huge, bloated structs, etc.).

As everyone says, measure early and often, but also please don't just shout "LEEEEEEEROY JENKINS!" as you throw fireballs of slow, bloated code into the world.
Wouldn’t that have to do with whether the problems of the tests have wording that the LLMs have tokenized and answers which the LLMs have also tokenized and find most probable in relationship to the wording of the problems?

Given that this has nothing to do with “understanding” or “intelligence” - what exactly is article worthy?
So it's not intelligent, just a token processing automation.
64% is still an incredible pricing and profitability position. Most firms would kill to be in such a situation!

Apple has, what, 20% smartphone market share?

And look at the margins they're able to run. Granted, boosted by platform lock-in.
I would think that one of the more important aspects of a survival bunker would be to keep it a secret. I think if it were me, I'd have it built for some other purpose as cover to tell the contractors involved. It could be that there are many more out there than are known, but I suppose it's a not a particularly falsifiable idea.
I think this has always been pretty obvious but the AI faithful have vested interested in insisting that LLM can actually think and solve problems.
Twitter, Facebook, Instagram, and YouTube are all fine but I've never felt any desire to explore them. For me, TikTok has been genuinely delightful and interesting to scroll through. I don't think the TikTok algorithm can quite keep up with my diverse interests (absurdist humor, dance, memes, antique machinery, home improvement, wind turbine and power transmission, cats, etc.), but it has still done a great job of showing me interesting, educational, and emotional (e.g. https://www.tiktok.com/@pinupandpigeons/video/71582333179874...) things. It definitely displays too many "Live" and "Shop" videos in my feed for my liking, but it also has the most prominent anti-influencer and anti-consumer content I've seen on social networks. TikTok has really changed my thinking about the youngest generation. Before I probably saw the youngest generation as spoiled brats who are ruining everything. Now I see there there plenty of interesting, creative, dedicated, and hard working young people who are probably the best hope for saving things from the spoiled geriatric ruling class that is too immature and selfish to not hoard and consume everything they can, future generations be damned.
I expect they'll learn the same hard lesson that the Romans and others did... fortifications only get you so far after the civilization you depend on starts to fade or fall. It's an oddly pathetic reminder that money only gets you so far, and "end of an era" is the limit.

Same with the bunkers, when money is worthless and the only truly valuable thing are access to food and force of arms, who's going to submit to some nerd because they "employ" them?

Buy islands, build bunkers... it's just an expensive version of going to sleep clutching a stuffed animal.
Well except that feudal lords had to interact with the local population. It's where their food and servants came from, and if they were true feudal lords, part of their wealth in the form of tithes. They also were expected to raise local troops if necessary by their bosses, higher up the aristocratic hierarchy.

If the feudal lords tried to behave as if their castles were bunkers, they wouldn't have lasted very long at all.
I wonder if ChatGPT was trained on too many high school essays. It’s not very good writing style, but it’s what most people start out writing.
Immich is agpl and fully open, in case you are looking for that
It would be like giving a human an iq test based on smells.
Which IQ tests don't test for, so yeah: who cares what an AI's performance on an IQ test is for anything more than "I did this for fun and it means nothing"?
My current company is split... maybe 75/25 (at this point) between Kubernetes and a bespoke, Ansible-driven deployment system that manually runs Docker containers on nodes in an AWS ASG and will take care of deregistering/reregistering the nodes with the ALB while the containers on a given node are getting futzed with. The Ansible method works remarkably well for it's age, but the big thing I use to convince teams to move to Kubernetes is that we can take your peak deploy times from, say, a couple hours down to a few minutes, and you can autoscale far faster and more efficiently than you can with CPU-based scaling on an ASG.

From service teams that have done the migrations, the things I hear consistently though are:

- when a Helm deploy fails, finding the reason why is a PITA (we run with --atomic so it'll rollback on a failed deploy. What failed? Was it bad code causing a pod to crash loop? Failed k8s resource create? who knows! have fun finding out!)

- they have to learn a whole new way of operating, particularly around in-the-moment scaling. A team today can go into the AWS Console at 4am during an incident and change the ASG scaling targets, but to do that with a service running in Kubernetes means making sure they have kubectl (and it's deps, for us that's aws-cli) installed and configured, AND remembering the `kubectl scale deployment X --replicas X` syntax.

[Both of those things are very much fixable]
Furthermore Copernicus’s system had lower accuracy and more epicycles. There wasn’t any real reason to prefer heliocentric models until Kepler.
Many will know, some will not: "rapeseed" and "canola" are the European and American descriptors for the same substance.
I don't have the real device but I tested it on Safari on iPhone 15 using BrowserStack and it seemed to work.
Commitment Engineering
It’s true but a lot of the reduction in price is having a mature manufacturing industry that the components can be sourced from.
Fable: Forecasting Models for Tidy Time Series
That's regardless of the environment. They are isolated from the rest of society and they want to keep creature comforts no matter what. Hardship is not part of their plans.

Billionaires now have the closest thing to paradise on earth, for the first time in human history. Food, entertainment, transportation, beautiful partners - all at the snap of fingers. Of course they want to live forever. On the other end of it is either judgement or just Nothing.
Open Hardware Glasgow Interface Explorer
That is not true for non-profits. The charter is legally binding.
Not an SRE, but I think the main contribution from this book was to popularize terminology of operations (eg SLAs) and to give an opinionated perspective on how to handle operations at scale.

More practically, I don’t think the book is as useful, as it generally only makes sense when you reach a certain scale that few organizations ever do (imo).

However, we are heading into a future where computing will be everywhere and sensors in everything so in maybe a decade even the “smallest” of organizations may be responsible for large scale distributed systems and operating that would require concepts that are provided in the book.
This article is wrong on many levels. A very good article to read about this is '"Crisis" versus Aesthetic in the Copernican Revolution' by Owen Gingerich

https://dash.harvard.edu/bitstream/handle/1/4258973/Crisis%2...
No. Optum (Change Healthcare) has multiple active competitors in the clearinghouse business. But due to limitations in the industry interoperability standards, switching vendors is a slow and expensive process.
Yes. Feudalism placed the lords in a very complex web of interactions (and responsibilities) with their local population. They weren't 'billionaires in bunkers' helicoptering in their food and ammo.
> more drag

That's true - although the antenna can be oriented to be perfectly parallel to the direction of travel - therefore only experiencing drag from the edge cross sectional area.

> increasing interference with astronomy

The antenna could be painted matt black. It can also consist of ~95% holes without much loss in functionality.

> increased collision risk,

I don't think it will matter while the number of uncontrollable satellites remains low. If I were a regulator, I would put a cap on the number of uncontrollable satellites that may be in orbit at any given time, and if that cap is exceeded prevent all new launches and require active de-orbiting of existing ones.
I had thought this book was redone by someone in Python. Does anyone remember seeing that?
For me, audiobooks present good analogues for both these cases.
I never skip lines in a book, but I might increase my reading speed if something is getting repetitive. Audiobooks also let you increase speed, and I often go to 2.5x or even 3x for low-information-content audiobooks.

For re-reading, you can skip back 30 seconds to re-listen.
Problem with ebooks is that you get product of a lesser value for a similar price. A paper book doesn't need a extra device you have to pay for, will outlast you with proper care, is DRM free and can be lent or resold. There is even a trend of treating physical books as collectors items, so you may even get some return on investment!

Also "book trade" doesn't include piracy, which works as the "solution" to the value problem.
Also, there's another post trending on this very day from Brendan Gregg [1].

His books (linked on the blog post) are also incredible, concrete resources to learn about optimizing systems.

[1] https://www.brendangregg.com/blog/2021-06-04/an-unbelievable...
Does it have a chapter on how to deal with end-user support?
HPAs and VPAs are useful k8s concepts for your auto-scaling needs.
I don't understand the legal speak on these pages. What does your comment mean? That I'm supposed to reach a certain level of understanding of open source terms to be allowed on here? Sounds extremely narrow minded

Also why did you leave two replies?
IQ tests aren't a great way of testing the intelligence of an LLM, hell they're even controversial when used to measure human intelligence.

There is plenty of psych research out there pointing out the potential issues with IQ tests so I won't rehash them here.

More importantly, the tests were only ever designed and validated to test human intelligence relative to all other humans that take the test. Unless we're expecting that LLMs (or AIs) have an intelligence that is functionally identical to humans, using an IQ test for them is like expecting a speedometer designed for a bicycle to work for my car on the interstate.
You have to guess that some of the people at the time saw that this film was also a prophecy of the end of telegrams: telephones, television, and movies existed and were improving year by year. The film itself is an example of a medium that would displace telegrams.

The video promotes how important the telegraph was to sports fans by showing summer clips from football and baseball followed by shots of the Telegraph operators; but of course sports fans would rather watch than read a telegram!

I wonder if this film was produced precisely as a “we’re still relevant!” PR strategy?
> don't think it's fair to sacrifice North Africa for an overabundance of life in South America

Would note that the Sahara isn’t Mars. It has an ecosystem we would destroy in terraforming it.
Lower than broadcast TV? Lower than most video games? Lower than two people punching each other in the face? Lower than rage-baiting "news"?
The Ukraine War in 2024 – The Military and Economic Balance of the Long War [video]
Chinese gangs are behind illegal weed farms across the US
As much as people want to believe, LLMs are not intelligent by any stretch. They are very limited in what they can do and they mostly are regurgitating human intelligence supplied in text form.

If you ask an LLM about something that isn't very written about, it'll make up nonsense, substituting things that are nearby (in some sense).

We're not even touching on the question of what intelligence is. There is no concrete definition so there is no concrete way of deciding if something is intelligent. IQ tests are not it.
Thanks, I was wondering how they got a bird to sit still on a hand for a photo. Not exactly common behavior for flappies.
Artemis II crew, recovery teams train for final phase of moon mission
The worst possible way to be rejected for a job
You have a very simplistic view of things. I don't think Andalucia's Russian criminal underground is a very united or pro-Kremlin crowd.
HPA is useful until your maxReplicas count is set too low and you're already tapped out.
It's hard to tell what exact resolution of the vision encoder is used in ChatGPT. And what is the exact design, if it is based on CLIP or not. But this and disinterest in adding training data like this could be one of the issues.
I haven’t used kubernetes in a few years, but do they have a good UI for operations? Your example of the AWS console where you can just log in and scale something in the UI but for kubernetes. We run something similar on AWS right now, during an incident we log into the account with admin access to modify something and then go back to configure that in the CDK post incident.
For scaling, have you tried using either an HPA or keda?

We've had pretty good success with simple HPAs.
Some of those Romans became the nobles and royalty in the new kingdoms after Rome fell. We might not want them learning those lessons.
This matches our experience as well. As long as you treat your managed k8s cluster as autoscaling-group as-a-service you'll do fine.

k8s's worst property is that it's a cleverness trap. You can do anything in k8s whether it's sane to do so or not. The biggest guardrail against falling into is managing your k8s with terraform-ish so that you don't find yourself in a spot where "effort to do it right" >> "effort to hack in YAML" and finding your k8s cluster becoming spaghetti.
That depends. Eyesight doesn’t mean intelligence. It would be like evaluating the intelligence of a mostly blind individual on a standard IQ test. How does it perform if we can provide the test in a form it can process. Vector images or something similar maybe.
> Above I alluded to the fact that we briefly ran ephemeral, interactive, session-lived processes on Kubernetes. We quickly realized that Kubernetes is designed for robustness and modularity over container start times.

Is there a clear example of this? E.g. is kubernetes inherently unable to start a pod (assuming the same sequence of events, e.g. warm/cold image with streaming enabled) under 500ms, 1s etc?

I am asking this as someone who spent quite a bit of time and wasn't able to bring it down 2s< mark, which eventually led us to rewrite the latency sensitive parts to use Nomad. But we are currently in a state where we are re-considering kubernetes for its auxilary tooling benefits and would love to learn more if anyone had experiences with starting and stopping thousands of pods with the lowest possible latencies without caring for utilization or placement but just observable boot latencies.
Sso should be the default really. And as a starting point every language has openid connect implemented. Yes it needs work but surely better than the average password reuse?

For large and small companies surely the best way to maintain their users
I would posit that this is just a vision problem. Or at least a large part vision.

If you presented these questions in something like JSON format, or maybe even ascii art I wonder how it would do?

Driverless cars is the same thing. Actually driving with good info is easy. Getting good info from an imprecise world is hard
If you're not intelligent, then indeed tests designed to test intelligence may seem to represent difficult problems.
More shocking are those that insists that the human brain must then also work by just guessing the next missing thing. As if the thought process behind I'm hungry starts with "I" and then trying to figure out what next best fits in... it's absurd.
I have worked on note-taking app but sadly I am not smart enough to get table editing support under iOS/macOS with NSText
Lost Pig might work for younger kids.

It's a modern interactive fiction game:

https://en.wikipedia.org/wiki/Lost_Pig
Whoa--some of these games feature SLAG hints [1] which is a Perl script I wrote a zillion years ago to produce .z5 runnable Invisiclues files. I had no idea anyone had ever seen or used it. What a fun way to start a Sunday!

[1] https://www.solutionarchive.com/game/id%2C615/Zork+I%3A+The+...
Black-scholes is a hedging argument, the eqn isn't the essence of it
What would you fix if you could?
Yep, I'd say >half of the teams with K8s services have adopted KEDA, but we've got some HPA stragglers for sure.
I generally assume that's the case for any large company.

Sometimes I get pleasantly surprised, but generally speaking the internal incentives are skewed against, the primary focus is whatever the roadmap is followed by tickets from paying clients, public bugs generally have a very low hit ratio so they're unrewarding, unless you manage to snipe one of the company's employees (either nerd-snipe or interest / shock them enough to raise the issue internally) it's like playing the lottery.
Sort of a learning thing though right? Like, if you find maxReplicas is too low you move that number up until it isn't right?

This is different from waking people up at 4am frequently to bump up the number of replicas.
“ A banner … signed by a club called “Women Rooting for Cho Gue-sung’s Pursuit of Happiness.”

Knowing Korean women, this seems to me a bad engliah translation of a very corny phrase.
On a macro level, evidence does strongly support that gentrification is a good thing. That doesn’t mean it doesn’t have downsides, including displacing low income residents in areas being gentrified. The fact this also creates huge reductions in crime is not coincidental though.

There’s a bit of a chicken and egg problem here nobody wants to wrestle with: 1. Poor people commit the vast majority of violent crime. 2. People with records of convictions of violent crime cannot get stable employment. 3. There is a measurable intelligence and emotional regulation gap at the average between violent criminals and productive members of society. 4. There is a measurable intelligence gap associated with income in our modern knowledge-based society. 5. Inability to get stable employment and low impulse control both are major contributing factors to recidivism.

It’s a heavily intractable problem, it’s clear retributive justice is not as effective as rehabilitative justice, but creating a feeling of duty of care in the communities harmed by crime is a nearly impossible ask. Gentrification at least provides a way out to improve communities for those residents who can afford to stay.
That's true of literally every book.
it's not greed. it's called inflation.

> For every dollar in home and auto premiums they collected last year, insurance companies paid an average of $1.10 in claims and expense

if you expect a service to loose money because it's more convenient for you, then you are going to have a bad time.

oh, greed exists for sure, but that's not why everybody is getting crushed right now. wages went up a tiny bit and in the last few years everything else has gone up 20-30% or more.
Nevada AG Asks Court to Ban Meta from Providing End-to-End Encryption to Minors
There is nothing wrong with k8s it is a nice piece of technology.

But the article trending here a couple of days ago describes it well. https://www.theolognion.com/p/company-forgets-why-they-exist...

It is complex enough to make the k8s maintainers the heroes of the company. And this is where things tend to go sideways.

It has enough knobs and levers to distract the project from what they are actually trying to achieve.
"Next token predictor" isn't quite the burn that it seems like, because perfect next token prediction would require actual understanding. That's because you can almost always cast any question about understanding into a form where it depends solely on the next token (there are a couple nitpicky exceptions and caveats but not many).

GPT 4 is at a high enough level of performance that mere simple statistics aren't really helping it do any better, it really is developing structures especially in the middle layers that perform some amount of high level understanding.

I don't think that pure next token prediction will always be the optimal way to train and enhance these behaviors, but it's not fair to say that it's unrelated, if this really was just stochastic parroting then LLMs would have topped out way before the level they're at now.
That looks fantastic, thank you for sharing.
When was the last time you wore driving gloves /s
You can edit your HPA live, in maybe as many commands or keystrokes as manually scaling…until you commit the change to your repo of configs.