“Men cheat, but when a woman decides to cheat, she goes harder than a man, and it will over you.” — Highest Eri #BoysandGirls

FORTRESS: The Pentagon is preparing every major U.S. military base to survive 90 days without outside support — no civilian power grid, no global supply chains, no outside fuel or water. The initiative, revealed in documents reviewed by Fox News Digital, envisions portable nuclear reactors, massive battery storage, and microgrids that can disconnect installations from civilian electricity entirely. Strategic reserves of munitions, fuel, critical minerals, and medical supplies would be stockpiled based on wartime consumption rates. Civilian factories are being pre-identified to shift to defense production during a crisis. Pentagon chief spokesperson Sean Parnell put it bluntly: "Power is combat now. Without electricity, you lose communications, water, logistics, assembly lines and just basic military command structures." Full story here foxnews.com/politics/inside-…

The trap of the hyper-intelligent person is they want everything figured out before they take action.

there is no moat. in AI, anything good gets copied fast. so the best thing you can build is an unfair learning advantage around yourself. ⁠1. pick one problem you want to understand better than almost anyone else and stay close to it. build around it, talk to users, read complaints, watch competitors + keep seeing the same problem from different angles. ⁠2. ship constantly. every launch, post, feature, sales call + failed idea gives you another piece of information. the person with 100 real reps sees things the person with 10 reps can't. ⁠3. write down the decisions that matter. what did you believe, what did you choose, what happened afterward? after enough cycles, you start noticing which signals were useful and which ones fooled you. ⁠4. keep the lessons that only came from experience. weird customer objections, tiny product details, pricing mistakes, distribution tricks, workflows that worked better than expected. this is the stuff that never shows up in generic advice. ⁠5. build relationships with people who are close to the problem. customers, builders, operators, researchers. good relationships give you information earlier, better context + people to test ideas with. ⁠6. publish what you're learning. explaining something forces you to sharpen it, attracts other people working on the same problems + gives you a public record of how your thinking is changing. ⁠7. use AI to run this loop faster. research deeper, compare more examples, summarize calls, challenge assumptions, prototype ideas + review what happened. the model is available to everyone. what you feed into it comes from your own reps. keep doing this for long enough and you start to understand stuff like: which customers to ignore, which feature requests are fake demand, which channels work and why, when to ship, when to wait, and which problems are worth chasing in the first place.

Arsenal before Arteta used to be a team you could tune in for 90 minutes and enjoy, even though they don't win trophie but they play beautiful football , they could be losing 3-nil and you’d still enjoy watching them play. Now they’re an eyesore to watch 💔

and they said AI voices would never feel human

you never come out the same person from a technical session with my mentor @liwucodes. you come out a completely transformed engineer. amakuchapachapa ubongo kuchosa kangaude yense 😂🙌

How do I learn to articulate myself better? 🥲

Are vibe coders even aware of... 1. Race Conditions 2. Deadlocks 3. Database Transactions 4. ACID Properties 5. Isolation Levels 6. Optimistic Locking 7. Pessimistic Locking 8. Connection Pooling 9. N+1 Queries 10. Database Indexes 11. Query Optimization 12. EXPLAIN ANALYZE 13. Foreign Key Constraints 14. Unique Constraints 15. Database Migrations 16. Zero-Downtime Migrations 17. Read Replicas 18. Replication Lag 19. Database Sharding 20. Partitioning 21. Cache Invalidation 22. Redis Eviction 23. Cache Stampedes 24. Distributed Caching 25. Idempotency 26. Retry Mechanisms 27. Exponential Backoff 28. Jitter 29. Circuit Breakers 30. Rate Limiting 31. Load Balancing 32. Horizontal Scaling 33. Vertical Scaling 34. Reverse Proxies 35. Message Queues 36. Dead Letter Queues 37. Background Workers 38. Job Scheduling 39. Event-Driven Architecture 40. Webhook Verification 41. Webhook Retries 42. Eventual Consistency 43. Distributed Transactions 44. Outbox Pattern 45. CQRS 46. Event Sourcing 47. Backpressure 48. Graceful Shutdown 49. Health Checks 50. Distributed Tracing