endymi0n

Meanwhile, core functionality like “Find My” is completely and utterly broken. Leaving behind my stuff at a new place gets me at least two different messages on my Apple Watch at different timing. One for my devices, one for my Apple tags. One only has a “dismiss” button, the other has a “trust location” button that when I click, it says “content unavailable”, and if it works (which is only! over Wi-Fi), then it only works for that one device. I always need to go through the find my app at every new place since it’s an absolute UX disaster.

That’s what I get for carrying only Apple gear in the thousands of euros with me.

I agree, but the German one is also pretty dodgy: Basically pay the rents of the old generation from a share of the working one. It's already coming apart due to demographic change and the next few years will be disastrous.

If there's an approach to model imho it's the Norwegian one: Actually backed by stocks, but managed and distributed by a central investment fund. It's far easier if the country is smart enough to centralize oil profits as well though...

So how evolution works is that a feature needs to have an evolutionary advantage, but the specimen must also not die. So there are two adversarial pressures here, carefully balancing each other in a mammal species that already has one of the highest birth mortality rates of both mother and child. If heads were any larger, it would create a proportional amount of negative evolutionary pressure by both direct and indirect death (of the mother) at birth.

Interestingly, there seem to be some indications showing that human interventions by modern technology already show clear evolutionary trends: https://pmc.ncbi.nlm.nih.gov/articles/PMC5338417/

Humans might eventually evolve to not even being able to be born naturally anymore at some point.

You folks might like the work being done at turso :D https://turso.tech/blog/introducing-limbo-a-complete-rewrite...

Had the same thought from the headline, but the punchline is that he's using the VPN he completely built himself and can't even trust that one.

This looks interesting for sure:

"ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLU" https://arxiv.org/abs/2406.02075#

These are the only two graphs you need to understand that your assumption is based on >10y old data:

https://www.powerengineeringint.com/wp-content/uploads/2023/... https://upload.wikimedia.org/wikipedia/commons/7/7c/3-Learni...

By the decade is gone that any new nuclear project has been commissioned and built, the rest of the world is running on solar + battery storage at a tenth of the price.

"In the US, 100 years is a long time. In Europe, 100 miles is a long way."

(Or 160,9 kilometers.)

Yep. Most of the time, fire is so slow you can escape it easily in case you're aware, alert and awake.

Since pushing hard for fire alarms and mandatory retrofit obligation, Germany was able to reduce fire deaths by almost 50% (study in German):

https://www.hekatron.de/fileadmin/user_upload/Studie_Wirksam...

Honestly, if I were OpenAI, I'd just go different directions at once, and it looks like exactly what they're doing. Dall-E was a standalone experiment before, and now it's reintegrated into the core product.

It's completely plausible they have two different teams working on Omni and GPT-5, as both are completely different research directions from each other, and with the Q*-gate, it's pretty clear, the other effort is still going strong.

OP's take seems to be overly doomerist and I don't really get why.

They were also in talks with Gemini lately: https://9to5google.com/2024/05/10/google-apple-gemini-discus...

I find it a bit weird that Apple with its massive market share and RnD budget apparently wasn‘t able to get a team and traction (or at least any significant acquisitions or acquihires) on AI with the writing being on the wall since quite some time now. Makes me a bit worried about their privacy angle and that it might disappear.

If you have to fight for a 50$ book, you‘re probably just at the wrong place.

That being said, some developers wanted to test Notion internally, so they got an informal account with a credit card. Turns out they built an important overview in it and send the link around, so everyone who wanted to take a look at it (half the company) implicitly created an account and our CFO got hit by a 10k bill next month.

And that‘s how devs having no purchase authority stories usually start...

This. Guns don‘t kill people, people kill people. And for every bad toddler with a gun, we better have two good toddlers with a gun.

I see lots of hate here for people looking for technical cofounders and bringing up unrealistic expectations into the other side, so I just wanted to offer a counterpoint as a "casted" technical cofounder.

I've had an incredibly great experience and I can confidently say I could not have built this business on my own by far. Here's what got me to sign the deal for the last 10 years of my professional life that I didn't regret:

- "just enough" technical knowledge to be dangerous

- an incredibly well researched market opportunity demonstrating great first principle reasoning and business sense, with a pitch deck for cofounders that was almost seed investor level quality

- a nontechnical early market test, executed intelligently within a few days and 200$ of budget that served as an early indication of product-market fit

- previous demonstrated experience building a team and growth as an employee at a startup

- a lot of grit, with a bias towards action (complementing my sometimes fragmented mind and hesitant personality)

- a humble, reflected personality

In the end, while 98% of pitches for the best years of your professional life are probably BS, don't underestimate how far an excellent nontechnical cofounder can bring you.

also:

https://en.wikipedia.org/wiki/Clustering_illusion

Far. As in, really, really far. We started out with Postgres because it was just the simple and sensible option for a production prototype, and when somebody came around telling me we need something more scalable recently, I calculated that there's not even enough addressable market in the world for our business for more than 4x our size. That's exactly the two remaining vertical doublings of our DB instance (to ridiculously looking RAM & CPU numbers) we could still do in case we need it.

Other than that, thanks to a lot of the recent work on connection handling and concurrency since PG 11, Postgres is getting better and better actually using these additional resources well: https://www.enterprisedb.com/blog/performance-comparison-maj...

Spot on for me, but there's a different argument at play: At the beginning of the OSX on x86 times, Apple had an OS with a stellar user experience, but the hardware was just completely overpriced, so Hackintosh made complete sense.

Fast forward to today and I think Apple managed to pivot this almost to the complete opposite end. I think the hardware is incredible value (that's debatable for sure, but my M1 aluminum machined Macbook with Apple Silicon is blazing fast, completely silent, super sturdy and runs forever — I wouldn't trade it for any other laptop I could buy with money), while the Operating System has really taken a backseat, with hugely annoying bugs unfixed since 10 years: https://news.ycombinator.com/item?id=39367460

To me, in a world like that, Hackintosh simply doesn't make much sense anymore. Asahi Linux is really the star on the horizon, by doing exactly the opposite: Letting a free and better maintained operating systems run on strictly awesome hardware.

I've never quite understood this worldview, my children are born _because_ the problems at hand are huge. The only chance the next generation has are educated, intelligent, hardworking people with enough grit and resources to take these matters into their own hands and continue executing on one of the most spectacular economical and technological turnarounds of all human history.

That and preparing them for it is exactly what I'm capable of. Kids from religious fundamentalists will come on their own, whether the worlds needs them or not.

And as always, Goodhart's law applies: "When a measure becomes a target, it ceases to be a good measure"

While the concept of cyclomatic complexity can be a somehow useful guideline, I've seen way too many CI/CD pipelines enforcing CC goals, which then usually results in an un-untangleable middleware and module mess where any piece of core logic is scattered over 102 code points in 34 modules — instead of just residing in a single, well readable and commented main function that would neatly self-explain a whole complex task in three screens that might have a CC of 20.

Interestingly, France and Germany are getting serious on this. Looking forward to see more of these.

https://www-adac-de.translate.goog/verkehr/recht/verkehrsvor...

And honestly, pre product-market fit my advice would be not even coding, but iterating in an extremely scrappy way (read: Google Sheets, Jupyter Notebooks, no-/low code, handwritten invoices) until you have people paying for your product and not churning after the first month. Everything else comes secondary. For every company that didn‘t manage to scale their tech and teams fast enough, there‘s 100 that die by „building and they will come“ a polished app with great UX through 4 ecosystems that get launched to deafening silence.

There’s a brand new hybrid quantization for Mixtral out that uses 4b for shared neurons and 2b for experts, which does not bleed much perplexity, but fits it into a 32G machine. Haven’t had it in hand yet and no link here on mobile, but can’t wait to try.

> • Crashes per mile on each manufacturer's "self-driving" systems

...counting miles where self-driving was activated including the 5 minutes afterwards — https://www.motortrend.com/news/nhtsa-tesla-autopilot-invest...

(Honi soit qui mal y pense.)

Any TL;DR context for non-Harvard, non-US Hackers?

There is at least one documented survival at the insane speed of Mach 3: https://theaviationgeekclub.com/bailing-out-at-mach-3-the-in...

omg just had a look and this one is just everything I hate about mathematics and academia.

Starts with lots of random definitions, remarks, axioms and introducing new sign language while completely disregarding introducing what it‘s supposed to do, explain or help with.

All self-aggrandization by creating complexity, zero intuition and simplification. Isn‘t there anybody close to the Feynman of Linear Algebra?

You're right, but I see the signs are on the walls for a reversal already. If I see how desperate recruiting efforts get _everywhere_, despite a not-yet-recovered economic situation, that's just a first flavor of what's to come demographically.

A new generation can already choose from way too many offers, which will be even more expanding as the larger generation ages out and needs more care.

Continuing the trend, junior educated talent will be in such demand that economically, I see no choice than rising prices for their service. Which will in turn triggering inflation and devaluation of existing assets. Additionally, remote work options (held in place by the shortage for talent) will continue to significantly eat into ever increasing city density, and the population plateau — which in developed countries already is a decline — will empty many apartments as well.

The only effect left is rising inequality through inheritance. Slap a hard 90% inheritance tax on any "set for life" money above 2 million USD to finance the rest of society and you're fine.

Just my 2 cetn.

How many German LLMs do you need to change a lightbulb?

One. They're efficient and don't have humor.

Long but not unheard of here.

The dirty secret is that it mostly works in your favor: Nobody can really force you to work at full motivation and capacity, so most of the time you just cut a mutually beneficial deal when leaving and do it anyway (in a shorter time). The other way around, it means a whopping 6 months of severance.

As to the best of my understanding, Fortran still offers some "fringe", but very important low-level optimization potential, specifically in the areas of pointers and aliases that are important to linear algorithm packages, which are apparently still hard to impossible to recreate in C.

Semi-informed, but serious question: Isn't there any other modern, high-level language that can offer these kinds of optimizations? Preferably in a safe kind of way?

I'm still struggling to understand how Fortran still stays relevant and what could possibly succeed it as a migration (or transpilation?) target with equivalent speed but superior maintainability and safety.