@BowTiedPhys Do you have a guideline on how to start as a complete cardio beginner and gradually progress? There’s an overwhelming amount of conflicting information on this
@alpharivelino Regarding point 12: What do you think about women who are completely fulfilled by being mothers? Who think only about family and live entirely in everyday routines. No possibility for deeper conversations or philosophizing. No desires or goals beyond family and children
@smithee_b@Die_Libertaeren So aggressiv meine ich das gar nicht. Was willst du tun wenn uns die USA etc uns keine Chips/Medikamente liefern ohne hohe Zölle zum Beispiel? Das würde sich hier massiv aus die Lebensqualität auswirken. Aktuell haben wir die EU um Großmächten entgegen zu stellen.
@BreatheLesss Crazy, almost every tweet of yours shows up right after I’ve been thinking about that exact topic for days. It’s like you’re posting what’s on my mind. Strange. I really love your tweets and the way you think.
@celestialbe1ng Your tweets are amazing – so profound, every single one an inspiration. So many lives could be saved if we talked about these things in real life
@Die_Libertaeren Cool, gerade angefangen zu lesen. Ich finde den Libertarismus super interessant, aber was erhofft ihr euch realistisch in einem so linken Land wie Deutschland zu erreichen - mal ganz direkt gefragt.
@ginandstocks Zum Hodln niemals! Wenn man auf kurze Bewegungen spekuliert mit Futures die auch meist mit Hebel gehandelt werden dann immer mit Stop Loss sonst droht der Totalverlust.
No longer hiring junior or even mid-level software engineers.
Our tokens per codebase:
Gumroad: 2M
Flexile: 800K
Helper: 500K
Iffy: 200K
Shortest: 100K
Both Claude 3.5 Sonnet and o3-mini have context windows of 200K tokens, meaning they can now write 100% of our Iffy and Shortest code if prompted well.
It won’t be long until AI will be writing all the code for Helper, Flexile, and Gumroad. My guess is by the end of 2026.
Our new process:
1. Sit and chat about what we need to build, doing research with Deep Research as we go.
2. Have AI record everything and turn it into a spec.
3. Clean up the spec, adding any design requirements / other nuances.
4. Have Devin code it up.
5. QA, merge, (auto-)deploy to prod.