Flavius

He's going to take your comment and give it to Claude as a prompt.

That's modern internet for you.

Why would I set 4.7 to xhigh or max when the original 4.6 was doing just fine with medium and high?

It's because investors in OpenAI/Anthropic want to get their money back in 10 months, not in 10 years.

Token bonanza! Inference sellers love this simple trick.

Absolutely not. That would be crazy.

Make no mistakes.

We currently use vast amounts of land growing corn and other crops specifically for biodiesel. Solar panels produce over 100x more energy per hectare than corn ethanol, even in countries like Denmark with limited sunlight. It makes perfect sense to repurpose some biofuel farmland for solar panels. That's just efficient land use, not an attack on agriculture.

I can't downvote you enough for this comment, but hopefully others will. You're arguing that a device designed for portability is perfect as it is because you're supposed to use external monitors and proper keyboards. This is peak HN/Reddit/"current society", whatever you want to call it.

Hey Claude, rename all these jobs to include AI so that WSJ can write an article about AI creating new jobs.

"Read the Book" button, next gen web UI. That's all you need to know about this one.

By asking it to cite its sources. Whenever I use AI, I have it pull direct quotes from the text to justify its interpretation. Sometimes it's spot on, sometimes it's wrong. But skimming a paper to fact-check a few specific quotes is still vastly faster than reading a dense paper completely blind.

That sure took a lot of work for something that nobody's gonna watch.

This means llms have not improved in their programming abilities for over a year. Isn’t that wild? Why is nobody talking about this?

Because it's not true. They have improved tremendously in the last year, but it looks like they've hit a wall in the last 3 months. Still seeing some improvements but mostly in skills and token use optimization.

AI won’t replace all white collar work. Just like the tractor didn't replace all farmers, only about 98% of them. The real question is: what's next? When farming automated, those workers eventually filled our factories and offices. When the offices automate, where do they go? Back to farming?

Oh, absolutely. Because history clearly shows that when multi-billion dollar corporations save money on labor, they immediately pass those savings directly to the consumer.

What do you mean by version 7.0? I'm running Version: 26.2.0.3 and it still looks dated after I did my best to configure the interface.

Take a look at these screenshots: https://libreoffice.en.uptodown.com/mac

It looks ancient, worse than office apps from 20 years ago.

The 'fake open-source' debate is interesting, but OnlyOffice is still the best free alternative for anyone coming from MS Office. LibreOffice has a great mission, but their UI feels dated and the formatting issues with DOCX/XLSX files are still a deal-breaker for me.

You call it "abnormality", I call it evolution. We are not the same.

Agreed. It’s mostly just disposable clickbait masquerading as journalism at this point. Outside of feeding people's FOMO, there's little content worth preserving for history.

Maybe you should be a little worried. A healthy fear never killed anyone.

Zero. If a skill actually provides value, one of two things happens: it gets absorbed into Claude Code (or similar) within a week, or a company packages it up and charges real money for it. The "free skill that gives you an edge" window is essentially nonexistent. By the time you find it, everyone else has it too. You're better off learning to prompt well against raw API docs than chasing a library of pre-built skills that are either trivial to recreate or about to be made redundant.

That’s a simplistic take. Displacement isn't about being "dumb", it's about unit economics. A company will replace a brilliant person with a good enough AI if it costs 10% of the salary. The "smart" people who are keeping their jobs are exactly the ones Simon is talking about. They’re being "forced" to work more to prove their value against a machine that never sleeps. That’s the intensification.

This intensification is really a symptom of the race to the bottom. It only feels 'exhausting' for people who don't want to lose their job or business to an agent; for everyone else, the AI is just an excuse to do less.

Retaining 90% range at -40°C sounds like a game changer, almost too good to be true. I'm definitely going to need to see some third-party real-world range tests to validate those claims before getting too excited.

Open Source isn't a tech stack or a specific way of typing syntax, it’s an ideology. It’s the belief that knowledge and tools should be free to share, study and modify. You cannot kill an idea. Whether I write a function by hand or 'vibe' it into existence with an LLM, the act of liberating that code for others to use remains the same.

How do you verify that the human on the other side is not an agent as well?

Spoiler alert: you don't or you can't.

That friction is trivial. You are comparing the effort of snapping a photo against the effort of actually reading and analyzing a text. If anyone chooses to read the paper, it's because they actually want to read it, not because using AI was too much hassle.

That's the whole point. They don't care about students or education, they care about wasting resources and making a lot of money in the process.