inder1

3 ms·

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by inder1 7mo ago
debian's stance actually makes more sense than a ban. you can't detect the origin of a contribution reliably. what you can do is hold the contributor accountable for what they submit. the problem is when people use that accountabi
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by inder1 7mo ago
the skills that protect against displacement long-term are exactly what vibe coding erodes. an engineer who built with AI but never developed the instincts to spot its mistakes has a gap they don't know they have. this maintainer probl
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by inder1 7mo ago
The capability vs adoption gap is the real story. Anthropic's data shows LLMs can theoretically handle 94% of computer and math tasks but actual usage is around 33%. Entry-level hiring has slowed most in exposed roles. Not because AI i
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Show HN: Salvobase – MongoDB-compatible DB in Go maintained by AI agents
3 points by inder1 7mo ago|0 comments
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by inder1 7mo ago
The "K-shaped workforce" framing is real and probably underappreciated. Senior engineers get more out of AI because they can evaluate the output, catch the architectural mistakes, and debug the edge cases. Juniors using AI to writ
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by inder1 7mo ago
The "senior gets better results" dynamic is real and probably the most underappreciated fact in the AI-jobs debate. The question isn't whether AI writes code. It's whether the person steering it has enough context to cat
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by inder1 7mo ago
The failure mode here is predictable. Junior practitioners in any domain are being asked to use AI tools before they've developed the professional judgment to validate the outputs. You can't spot a hallucinated court order if you
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by inder1 7mo ago
the correction you're describing is real. the timing is unknowable but the direction isn't. two things tend to protect people in this scenario: domain knowledge that's hard to hand off, and a visible productivity multiplier w
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by inder1 7mo ago
$730B on roughly $11B ARR is ~66x. Microsoft trades at 12x. The market is pricing OpenAI as infrastructure, not software. That's probably right. The implication is that the productivity gains accrue to whoever controls the infrastructu
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by inder1 7mo ago
The $2M+ gross profit per person target is the number that actually explains this. That's 4x their pre-covid baseline. Every company that over-hired during ZIRP is running this same math correction. The AI framing helps the stock. The
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by inder1 7mo ago
The "AI kills software jobs" framing and the "AI is just a tool" framing are both wrong in the same way — they treat it as uniform. What actually seems to be happening is that AI compresses the value of generic output an
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by inder1 7mo ago
The feedback loop described here is what stuck with me — AI improves, companies cut headcount, savings go back into AI, AI improves. No natural brake. The article puts a specific number on it: a $180K PM replaced by a $200/mo AI agent.
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by inder1 8mo ago
use code PROMO for a 100% discount on Stripe payment. Makes paying for the app optional.
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by inder1 8mo ago
My son had questions about his career and couldn't answer them. So I built Parallax — a tool that helps you explore career options and arrive at your own answers. Upload your resume, get an AI exposure score (0-100), then run simulatio
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Show HN: Parallax – See how exposed you are to AI disruption and make a plan(parallaxapp.world)
1 points by inder1 8mo ago|2 comments