Meanwhile, 27 sports pundits @BBCSport predict the @premierleague season and all pick the same 4 teams. https://t.co/uRZfdr1ZMJ. No way. Groupthink at its finest. None of them will be correct.
There's no way one of @NUFC , @ChelseaFC , or @SpursOfficial don't break into the top 4 and ruin the parade. Maybe a couple of them. Are @ManUtd really so strong that 23/27 put them in the top 4? They missed out twice in the past 5 years alone.
I only used to have to get up at 5, cold plunge, drink white Monster and work at a standing desk. Now I have to get up at 3, check my 67 AI agents, write a long X post about how you're using Claude Code wrong, and then go over to LinkedIn and tell everyone AI is already better at being them than they are. #Exhausting.
Breakthroughs don't come from incremental thinking and behavior. Everyone wants breakthrough, but incrementalism is the safe option. It's crazy to act incremantally and expect breakthrough.
VItal to work out what the user is actually trying to solve. Default human behavior is to project our own cognitive and behavioral shortcomings onto something external. Software is a great target
@miragemunny People with >10 drafts:
0.00072% of DAU
This would be the worst engineering-to-impact ratio in the known universe.
Better thing Iโd like to solve:
why arenโt you just posting those drafts when inspiration strikes?
I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year and a failure to claim the boost feels decidedly like skill issue. There's a new programmable layer of abstraction to master (in addition to the usual layers below) involving agents, subagents, their prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations, and a need to build an all-encompassing mental model for strengths and pitfalls of fundamentally stochastic, fallible, unintelligible and changing entities suddenly intermingled with what used to be good old fashioned engineering. Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it, while the resulting magnitude 9 earthquake is rocking the profession. Roll up your sleeves to not fall behind.
@levie Love this. You can't just use the new tool in the old way. Just as steam power let factories spread horizontally, away from a central shaft, AI is reshaping how knowledge companies are set up. Good insight here by @levie
@dshaw ๐ฏ Sales is now an engineering function, and vital to close the learning loops; Those that can implement, learn, adapt, re-implement the fastest will win. Need multiple cycles, not just one and done.
AI's no silver bulletโit's exposed our weak spots and forced upgrades in people and processes. My take: Bet on foundation over flash, and build teams that adapt without the bs. What's your top AI lesson from '25? Reply or DM your takeโopen to swapping war stories. #AI2026 6/6
Building on the other great SaaS reviews, here's my take as a tech CEO sifting through our 2025 AI "strategy." The five biggest lessons learned: (Thread 1/6)
Humans plus AI is still the accelerator right now. Humans for direction because AI will still sidequest hard. Based on this I need less english majors and more engineers: people who think in data, systems, process and docs. Every function is now an engineering function. 5/6