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Shahriar Tajbakhsh
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Shahriar Tajbakhsh
@s16h_
Co-founder & CTO @MetaviewAI. I was paying attention before attention was cool.
Katılım Ekim 2011
637 Takip Edilen660 Takipçiler

“A motorcyclist who traveled 15 miles every day for a year had an astonishing 1 in 860 chance of dying. A person who took a 500 mile flight every day for a year would have a fatality risk of 1 in 85,000.”
stevestewartwilliams.com/p/love-blindne…

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@jerryjliu0 If AGI forgot what it was asked to do every 3 days.
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@MetaviewAI's internal AI agent is very funny. The most AGI-pilled part of it is that is uses our custom emojis so well.

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Candidates often ask me who @MetaviewAI competes with and what I think of those companies. I’ve never found that line of questioning very useful, and here’s my answer.
I don’t spend much time thinking about competitors. Not because they don’t exist, but because it’s the wrong frame. Competition is a feature of markets where products are substitutable and strategy is reactive. That’s not an interesting game to play. The only comparison that really matters is against our own trajectory.
Our real benchmark is ourselves. Specifically, the rate at which we are improving. Not just yesterday’s output, but the curvature of our progress. Are we learning faster than we were last month? Are we compounding insight? What has to be true today for the slope of our improvement to steepen tomorrow?
That’s the work. Improving the underlying system that produces progress.
Yes, there are other companies in the space. Some will ship features that resemble ours. Some will raise money. Some will make noise. I don’t track it closely. The one external signal I pay attention to is talent density. Are they assembling a group of unusually capable, serious people who raise each other’s standards?
Building a high-talent-density organization is extraordinarily difficult. It requires taste, discipline, and a willingness to say no far more often than yes. Very few companies sustain it over time.
If someone assembles a truly exceptional team, I’ll pay attention — and I’ll learn from it. Until then, our focus remains purely internal: increase the rate of learning, raise the ceiling, and make sure tomorrow’s Metaview would outperform today’s.
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You don’t perform on 6 hours sleep.
One of the most important sleep studies ever ran a brutally simple test.
People slept 4h, 6h, or 8h per night for 14 days. No all-nighters. Just “normal” short sleep.
Cognitive performance was tested every two hours.
By day 14:
6 hours = same impairment as being awake for 24 hours.
4 hours = same as 48 hours awake.
But here’s the scary part – after day 3–4, people stopped feeling more tired.
Reaction times kept slowing, attention lapses kept increasing, working memory kept degrading.
But subjective sleepiness flatlined.
Your brain keeps getting worse, your ability to notice it breaks.
This is why chronic undersleeping feels sustainable – you adapt to feeling tired but you do not adapt to being cognitively impaired.
The participants would’ve told you they felt “okay”. Objectively, they were functioning like they’d pulled an all-nighter.
If you’re sleeping 6 hours and think you’re fine, you’ve probably lost calibration.
Sleep need is biological. Most adults need 7–9 hours.
“I only need 6” usually means “I forgot what normal feels like.”
Feeling fine is not evidence you’re functioning well.
Chronic sleep loss doesn’t just impair your brain – it blinds you to the impairment.
— h/t @aakashgupta
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At @MetaviewAI, over the past 7 days, 95.3% of merged PRs had at least one AI co-author. Only 21 out of 444 PRs were purely human — mostly reverts, config tweaks, and one PR literally titled “Handcrafted magic”.
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Engineering managers -> want engineers with a green tiled Github wall
Recruiting managers -> want recruiters with a blue tiled @MetaviewAI wall

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This is the world we live in now. Soon, the amount of work that can get done each day will round up to infinite.
cc @probabletrain

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@paulg ‘A’ sweet spot, but not ‘the’ sweet spot. An agentic loop (i.e., msg, tool use, repeat) is another sweet spot, even in areas where the rate of producing text isn’t the constraint.
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