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raducu

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AND magically gets 4x cheaper energy they are in a much weaker stance for the long haul.

By energy you mean electricity,the nuclear, solar and hydro-- the kind China has installed new 2TW capacity over the last decade while US installed 0.2TW capacity in the same time?

A lot of people are emotionally unprepared for a world where the music doesn't stop.

I've been wrong before. However, when was the last time this business model made sense -- that facebook, SpaceX and others, all just pivot from their market niche to general purpose AI datacenter providers.

How on Earth does this make sense?

What happens in a few years when DeepSeek runs on the chinese chips like the Huawei Ascend at a fraction of the cost ?

These are all very high value added companies going into comodity AI hosting and they're all going to make a killing?

he people I found worst at this were IT.

My experience as IT in modern banks was the opposite. The legal department were absolute assholes when it came to software features. And I'm talking absolutely 100% ok features, like paying your bills from the banking application.

The least fun, trigger happy, cover their buts people I've ever seen.

Like all they could ever say was NO. I guess they were heavily incentivized to just say NO to everything.

is regularly wrong, frequently myopic, and just outright dumb constantly.

I give LLMs snippets of text messages exchanges with my wife and I can't believe how dumb the LLMs are of getting basic facts right let alone nuance.

I'm 100% not one those "LLMs are just stochastic parrots" people, but coding and coding-like activities are extraordinarily well fit for LLMs, but for things that there's less training data, LLMs probably do a lot worse

Most nicotine users today?

I did use pure nicotine and it was very bad for my health, probably due to high dosage, but still.

I've used heavy stimulants, benzos, opioids, dissociatives without an issue, but nicotine is in a class of its own in terms of how insidiously addictive it is.

But just from a health point of view: extreme arm and hand joint issues, forearm vascular issues that made my hands numb at night, palpitations/arrithmia like I was about to die when I used nicotine before sleep and I was drifting to sleep -- it really felt like I was about to die, like my heart was mangled up.

notice more and more are consumed $1k in tokens a month

I've said it before: if you allow people to see how much others spent, they will try to climb up the "leaderboard".

It takes just ONE little praise for using tokens or one perk gained, and the GAME IS ON among the developers!

dependent on a few minor lifestyle adjustments

Only if you don't have psychological issues, then none of that really works.

I've done all the sleep hygiene and it does help a bit, but sleep polysomnogram shows my sleep architecture is toast + loads of microawakenings (and no sleep apneea).

The older I get the more sensitive to a single poor night's sleep I become.

Back when I was 20 I had a drinking problem. One time I drank so much that I passed out sitting at a table. Woke up with friends having stripped my clothes and washed them. I woke up at 9AM, feeling 100% sober, just anxious about my 20 missed calls from my mom. I got a bit drunk at about 33 and next day I thought I was dying.

That's how I learnt what hangovers were.

Again, at around 25, I helped my brother in-law move bee hives all night, including some 8 hours of driving.

Went straight to work and in the evening I had dinner with my wife at a restaurant.

Now I crash in bed at 9PM and if I'm lucky, I also sleep (but quite often I wake up at 2AM).

Getting old(er) sucks, and I'm only 42 and I miss so much how nice being in my 20 something body felt all the time.

I am a strong believer and selected as power user because of AI usage metrics, but I also see perverse incentives -- a colleague was desperately searching for me on the Claude token usage leaderboard (I was part of a different group he did not have access to) -- it was clear he was actively trying to climb that leaderboard.

Meanehile our average PR loc balooned to ~2000loc -- generated with Claude, reviewed with copilot but colleagues also review it with Claude because it gives valid nitpicks that bump up your github stats, while missing glaring functional/architectural issues, overenginerring issues.

No way this doesn't blow up down the road with the massive bloat we're creating while getting high on the "good progress" we're making.

Yes, your 3 minutes prompt got merged. So was my friends(ex-programmer now manager) non-ai generated PR that a technical TL got stuckstuck on for 2 weeks. Different perspective? Survivor bias? High authority?

high level of motivation and self discipline to go 3 times a week.

I don't really have the time for gym but going feels so good so I can see why someone who does have the time might go 7 days a week.

Without weighing on the validity of their hypothesis that one or both sides found the other“especially attractive”

I get that it's survivor bias and all, but modern racial preference also paints a clear picture, I don't understand why we are so against this hypothesis that male homo sapiens did not particularly like the female neanderthal (I can clearly see why as any modern male would).

We found neanderthal fossils with sapiens DNA (afir it was something like 7% so not sterile hybrids, but a few generations after the hybridisation). I don't think we have ANY evidence for non viability of male sapiens + female neanderthal non-viability, we just don't like the fact that this viability proves the asymetri.

Perhaps because modern psyche loves to picture males as sexual brutes and women as these higher wonderful rosy elves and this "shocking" neanderthal(i.e. "beastly") preference goes strongly against this meme?

Why would it be so inconcievable that the male part of homo sapiens drove the sexual selection for the more "refined" features of the species and the preference for intelligence of women was not intrinsic but partially "forced" -- i.e. warbrides and all -- so it would make perfect sense that some homo sapiens women would be attracted to the physical strength cues of male neanderthals, just like... gasp... modern women are?

I have conflated those two, but my main point is the monstrous, one-sided destruction Israel has caused in Gaza is a clear proof Israel has gone way, way, way into the genocide territory and not just into the "hamas fighters were hiding among the civilians and after considering the international laws for such cases SOME civilians were killed".

Israel demonstrated complete disregard for human life for the sake of expediency to say in a gentle way, but in a harsher way, you could say the aftermath and details that are emerging point to malicious collective punishment.

All other things being equal, if your opponent engages actively in hiding among medical and press workers as a type of guerrilla warfare, then the reality does become this.

So let me check this reasoning: if there was a single US soldier in the WTC towers, the 9/11 attacks were justified because the soldiers were hiding among the civilians?

Or if Hamas killed a single israelian soldier in their horrendous attacks in private homes, then it's justified because there were soldiers in those houses?

Or if the israelian reservists have their weapons at home and can be called upon directly from home to action, does that mean Iran or Hamas are justified at flattening residential buildings in Israel because those could host soldiers?

Gemini 3.1 Pro 5 months ago

Don't get me started on the thinking tokens.

Claude provides nicer explanations, but when it comes to CoT tokens or just prompting the LLM to explain -- I'm very skeptical of the truthfulness of it.

Not because the LLM lies, but because humans do that also -- when asked how the figured something, they'll provide a reasonable sounding chain of thought, but it's not how they figured it out.

Gemini 3.1 Pro 5 months ago

Gemini also frequently gets twisted around, stuck in loops, and unable to make forward progress.

Yes, gemini loops but I've found almost always it's just a matter of interrupting and telling it to continue.

Claude is very good until it tries something 2-3 times, can't figure it out and then tries to trick you by changing your tests instead of your code (if you explicitly tell it not to, maybe it will decide to ask) OR introduce hyper-fine-tuned IFs to fit your tests, EVEN if you tell it NOT to.

let myself atrophy, run on a treadmill forever, for something

You're lucky to afford the luxury not to atrophy.

It's been almost 4 years since my last software job interview and I know the drills about preparing for one.

Long before LLMs my skills naturally atrophy in my day job.

I remember the good old days of J2ME of writing everything from scratch. Or writing some graph editor for universiry, or some speculative, huffman coding algorithm.

That kept me sharp.

But today I feel like I'm living in that netflix series about people being in Hell and the Devil tricking them they're in Heaven and tormenting them: how on planet Earth do I keep sharp with java, streams, virtual threads, rxjava, tuning the jvm, react, kafka, kafka streams, aws, k8s, helm, jenkins pipelines, CI-CD, ECR, istio issues, in-house service discovery, hierarchical multi-regions, metrics and monitoring, autoscaling, spot instances and multi-arch images, multi-az, reliable and scalable yet as cheap as possible, yet as cloud native as possible, hazelcast and distributed systems, low level postgresql performance tuning, apache iceberg, trino, various in-house frameworks and idioms over all of this? Oh, and let's not forget the business domain, coding standards, code reviews, mentorships and organazing technical events. Also, it's 2026 so nobody hires QA or scrum masters anymore so take on those hats as well.

So LLMs it is, the new reality.

Once you use up the entire internets worth of stack overflow responses and public github repositories you run into the fact that these things aren't good at doing things outside their training dataset.

I think the models have reached that human training data limitation a few generations ago, yet they stil clearly improve by various other techniques.

Claude is still just like that once you’re deep enough in the valley of the conversation

My experience is claude (but probably other models as well) indeed resort to all sorts of hacks once the conversation has gone for too long.

Not sure if it's an emergent behavior or something done in later stages of training to prevent it from wasting too many tokens when things are clearly not going well.

That's just a different bias purposefully baked into GPT-5's engineered personality on post-training.

I want to highlight this realization! Just because a model says something cool, it doesn't mean it's an emergent behavior/realization, but more likely post-training.

My recent experience with claude code cli was exactly this.

It was so hyped here and elsewhere I gave it a try and I'd say it's almost arrogant/petulant.

When I pointed out bugs in long sessions it tried to gaslight me that everything was alright, faked tests to prove his point.

Eggs in one basket. Renewables are good, but it gets cloudy, night is a thing, it might not be windy

Also, we can't survive an asteroid crash/extinction event with solar.

Nuclear is transcedental. If we had practically unlimited fusion power, we could build underground, grow plants in aquaponics and aeroponics and ride it out in underground cities and farms.