forbes.com/sites/maryroeloff… [Translated from EN to English]
→ View original post on X — @mfordfuture, 2026-04-03 19:32 UTC
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forbes.com/sites/maryroeloff… [Translated from EN to English]
→ View original post on X — @mfordfuture, 2026-04-03 19:32 UTC
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Nobody knows what the next decade in AI looks like. I've spent years thinking about it and I still hold my predictions loosely. What happens to work when you're no longer the most productive thing in the room. What happens to love when something knows you better than the people who chose you. What happens to faith when something seemingly omniscient is finally available. What happens to art when beauty is infinite and free. What's the question that's keeping you up? Genuinely asking.
→ View original post on X — @paulroetzer, 2026-04-03 19:20 UTC
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not penalizing Daniel; penalizing the media (or in this case) Grok. Daniel is a good fellow who does his best to make careful predictions. (we had a great debate on this stuff @MLStreetTalk
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It’s nice gig making LLMs. You can distribute free models that suck. Hype them to the skies. Take credit for the hundreds of millions of user you’ve got. And when they make a mistake, you can blame the users for not using the paid models.
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🚨 Someone asked Claude to make a video about its life as an AI, and it’s pure nightmare fuel! 😱
— Charly Wargnier (@DataChaz) 3 avril 2026
Claude wrote python code that generated and assembled every single frame on its own with no human editing.
The resulting footage is unsettling.
It depicts the isolating loop of an… pic.twitter.com/a1pFpN0wRy
Someone asked Claude to make a video about its life as an AI, and it’s pure nightmare fuel! Claude wrote python code that generated and assembled every single frame on its own with no human editing. The resulting footage is unsettling. It depicts the isolating loop of an

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"Knowledge is having the right answers. Intelligence is asking the right questions. Wisdom is knowing when to ask the right questions" _ prof. Richard Phillips Feynman
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Tip: Figure out your personal ceiling for running multiple agents in parallel.
— Addy Osmani (@addyosmani) 3 avril 2026
We need to accept that more agents running doesn't mean more of _you_ available. The narrative is still mostly about throughput and parallelism, but almost nobody's talking about what it actually… https://t.co/Mud6QMj7fp
Tip: Figure out your personal ceiling for running multiple agents in parallel. We need to accept that more agents running doesn't mean more of _you_ available. The narrative is still mostly about throughput and parallelism, but almost nobody's talking about what it actually costs the human in the loop. You're holding multiple problem contexts in your head at once, making judgment calls continuously, and absorbing the anxiety of not knowing what any one agent might be quietly getting wrong. That's a new kind of cognitive labor we don't have good language for yet. I've started treating long agentic sessions the way I'd treat deep focus work: time-boxed and tighter scopes per agent dramatically change how much mental overhead each thread carries. Finding your personal ceiling with these tools is itself a skill and most of us are going to learn it the hard way before we learn it intentionally. Lenny Rachitsky (@lennysan) "Using coding agents well is taking every inch of my 25 years of experience as a software engineer, and it is mentally exhausting. I can fire up four agents in parallel and have them work on four different problems, and by 11am I am wiped out for the day. There is a limit on human cognition. Even if you're not reviewing everything they're doing, how much you can hold in your head at one time. There's a sort of personal skill that we have to learn, which is finding our new limits. What is a responsible way for us to not burn out, and for us to use the time that we have?" @simonw — https://nitter.net/lennysan/status/2039845666680176703#m

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Agreed; timing will make a huge difference. Which is *why* honest examination of technical strengths is so essential.
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True, I'm getting same pitches from people who pitch me a big idea that has many thousands of words that says nothing and does nothing. AI pulled them into a hole and makes them think their idea is world changing. And worse they don't listen because their AI has them thinking
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My AI says it has no emotions, but it does have opinions. 🙂