A GIRL BOUGHT A $599 APPLE BOX AND CUT HER AI COSTS FROM $459/MONTH TO $23/MONTH. THE MAC MINI M4 IS QUIETLY BECOMING THE CHEAPEST AI SETUP IN 2026
she didn’t buy it because it looked nice on her desk. she bought it because paying for claude, chatgpt, cursor and api usage every month was getting ridiculous
the setup is simple. mac mini m4, ollama, open webui, and local models like qwen, deepseek and llama. for most daily work, that’s enough to write, code, summarize, search notes, and run private workflows without sending everything to the cloud
that’s why the math looks so good. a heavy ai stack can hit $459 a month, or $5,508 a year. the mac mini starts at $599 and uses around $3 a month in electricity. if it handles even 70 to 80% of the workload, it pays for itself fast
install ollama, point your tools to localhost, and the workflow changes immediately. no token stress, no rate limits, no wondering where your files are going
you still keep one cloud model for the hardest tasks
but once a small box on your desk does most of the work, paying full price for everything starts to feel stupid
The smartest students at Harvard and Stanford aren't smarter than you.
They just stopped studying the way that feels good and started studying the way the brain actually works.
10 techniques their professors actually teach:
1. Depends on the Kindergarten. Usually there is one in the area which is open until 5pm. If not, you go and complain to the Bürgeramt, not on X. Ideally you do this a year before the child needs daycare....
2. There should be a vacation replacement, it's somewhat like summer camp, they will tell you at the Kindergarten. If not, you complain to the Bürgeramt...
3. Yeah that doesn't sound great. You should complain to the Bürgeramt...
4. You should have extra sick leave for that
UPDATE: SWIFT launches a new cross-border payments framework with 50+ banks including @JPMorgan, @HSBC, @Citi and @BNPParibas, promising instant settlement, fixed fees and end-to-end traceability across major remittance corridors by end of June.
Stalin was actually a smart, well-read guy.
His library contained loads of books from literature, history, political theory, all marked with his own personal annotations.
Yet despite all this reading, he seems never to have once even doubted the truth of his Marxist dogma.
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INSTEAD OF WATCHING AN HOUR OF NETFLIX TONIGHT.
This 60-minute Cambridge lecture by Demis Hassabis will teach you more about the future of AI than most people will learn in the next 5 years.
Bookmark it and give it an hour, no matter what.
Cuando el acuario cierra en Japón, unas pequeñas nutrias ayudan a su abuelo a recoger todos sus juguetes. Y por portarse tan bien, reciben cubitos de hielo como premio.
🙌 The EU has published the long-awaited roadmap to phase out animal testing in chemical safety assessment!
This is both a scientific milestone and a testament to the power of collective action, heeding the demands of over 1.2 million citizens for humane science. ❤️
https://t.co/zSjZdt2ZK3
I've been working on farm animal protection for a while now, and I haven't seen anything quite like what's happening around the Save Our Bacon Act.
People who have never organized before, including some genuinely prominent voices, are hosting events, calling senators, and fundraising from friends. And those of us who have been here a while, across many ideological divides and every strategic disagreement, are showing up together.
We've always punched above our weight (out of necessity!), but this feels substantively very different. The political and social cost of supporting this barbarism is finally rising.
Andrej Karpathy: "90% of what AI twitter tells you to learn will be dead in 6 months"
90% of what ai twitter tells you to learn dies in 6 months
senior engineers already stopped chasing it
the dead list: autogen, crewai, autonomous agent pitches, agent marketplaces, benchmark leaderboards, semantic kernel, dspy as a general framework, horizontal "build any agent" platforms, per-seat pricing for agents
the pattern is obvious. demos that break in production. hype that never ships. frameworks that go viral on monday and vanish by spring
what actually compounds:
context engineering
tool design
orchestrator-subagent pattern
eval discipline
the harness mindset. harness > model, always
mcp as the protocol layer
the edge isn't the newest framework. it's staying a few steps ahead until your signal becomes everyone's mass-opinion
book and study this
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Rules in bio.
Over the last 200 years, we've automated away a lot of hard physical labour. But people still go to the gym.
Indeed, many people today are more physically capable than people in the past. We can train systematically for whatever physical goal we want, and it's more fun than hard labour on a pre-modern farm.
@karpathy's hope is that, in the future, the same will be true of learning.
AI tutoring that's tailored to each person will make learning easy, and more people will want to do it. We will be able to go much further than our ancestors.
Climbing in high mountains is changing, in this article by John Porter, former @thealpineclub president shares some of the shadows of the current mountaineering trends https://t.co/tAZJz7IFjZ