Emmett Chen-Ran

670 posts

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Emmett Chen-Ran

Emmett Chen-Ran

@doubleemt

building @virioai. prev: ff @southpkcommons, apm @salesforce, eng @stripe, cs @yale

SF شامل ہوئے Eylül 2020
703 فالونگ636 فالوورز
Emmett Chen-Ran
Emmett Chen-Ran@doubleemt·
funnily enough, even meeting notetakers were 1. one of the earliest mainstream use cases for AI software and 2. got memed to death they'll probably be one of the only durable use cases for AI software bc only software that supports/enhances human-to-human interactions will stay
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Emmett Chen-Ran
Emmett Chen-Ran@doubleemt·
how many grams of protein are there in turning unstructured data into actionable business insights
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bani
bani@banisgh·
@newdotwebsite has been acquired by Vercel! ▲ We built a way to turn a simple description into a fully functional site in minutes, with forms, automations and integrations that work agentically out of the box. Now we’re joining @v0 to take it further. This wouldn’t have happened without our team and the people who believed in us early. Grateful to @vercel for taking a chance on what comes next.
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Emmett Chen-Ran
Emmett Chen-Ran@doubleemt·
Interesting how over time, OAI’s human-agent thesis has become less like n8n/zapier (OAI agent builder) and more like Sierra (OAI Frontier) Agent builder assumed more upskilling of the everyman working in the weeds with agentic workflows Frontier assumes more upfront cost of a few very technical implementers and then meeting the end users where they’re at
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Emmett Chen-Ran
Emmett Chen-Ran@doubleemt·
The hard reality is that this is just going to be a mental shift humans need to adapt to as the nature of knowledge work moves up the abstraction ladder Pros: everyone becomes more high-agency and better at making decisions quickly Cons: attention spans will def not improve
Rohan Paul@rohanpaul_ai

New Harvard Business Review research reveals that excessive interaction with AI is causing a specific type of mental exhaustion ( or AI brain fry), which is particularly hitting high performers who use the tech to push past their normal limits. A survey of 1,500 workers reveals that AI is intensifying workloads rather than reducing them, leading to a new form of mental fog. While AI is generally supposed to lighten the load, it often forces users into constant task-switching and intense oversight that actually clutters the mind. This mental static happens because you aren't just doing your job anymore; you are managing multiple digital agents and double-checking their work, which creates a massive cognitive burden. The study found that 14% of full-time workers already feel this fog, with the highest impact seen in technical fields like software development, IT, and finance. High oversight is the biggest culprit, as supervising multiple AI outputs leads to a 12% increase in mental fatigue and a 33% jump in decision fatigue. This isn't just a personal health issue; it directly impacts companies because exhausted employees are 10% more likely to quit. For massive firms worth many B, this decision paralysis can lead to millions of dollars in lost value due to poor choices or total inaction. Essentially, we are working harder to manage our tools than we are to solve the actual problems they were meant to fix. --- hbr .org/2026/03/when-using-ai-leads-to-brain-fry

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James He
James He@james_k_he·
In SF for the next 5 days, who wants to grab coffee?
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Emmett Chen-Ran
Emmett Chen-Ran@doubleemt·
AI vs. writing content without the word "quietly" in it difficulty level: impossible
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Emmett Chen-Ran ری ٹویٹ کیا
Andrew Gazelka
Andrew Gazelka@andrewgazelka·
Hiring to build git for VMs. We fork, snapshot, and resume full sandboxes in 26ms. DM me if you are interested.
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Emmett Chen-Ran ری ٹویٹ کیا
Andrew Cai
Andrew Cai@andrewcai8·
hiring for engineers at @VirioAI in sf some stats: - adding $1m+ arr/month - 3 person engineering team - team size 7 to 15 in 2 months please reach out, i'd love to chat :)
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Emmett Chen-Ran
Emmett Chen-Ran@doubleemt·
@braveben They’re taking a Microsoft-like bet on the distribution network and ecosystem. Microsoft’s brand is more diluted than apple’s but for a long time was (and some would argue still is) the most successful tech co in history
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Ben Braverman
Ben Braverman@braveben·
I. They would learn so much more deploying into the customers directly vs. being filtered through (likely dumber) third parties II. The customer will now experience the OAI brand as diluted via legacy third parties without native AI experience. III. They have to share the profit pool What am I missing here?! Just the sheer gravity to overcome? The timelines are so tight that they don't have time to build the team internally?
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connor ling
connor ling@conconconling·
one sad pattern I keep seeing: founders who don’t truly believe in the value of high-slope young engineers end up damaging their career upside by instilling mindset of following rules set by the ‘more experienced’ and making the young default to questioning their own abilities
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Emmett Chen-Ran
Emmett Chen-Ran@doubleemt·
@andrewcai8 A versatile statement broadly applicable to any number of occasions!
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Andrew Cai
Andrew Cai@andrewcai8·
"i met some icp last night" - only in sf..
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Feifan Zhou
Feifan Zhou@FeifanZ·
one of our recruiters sent us a fake candidate. the resume is completely made up — stripe doesn't build in Node/Python. (also other red flags and weird details … how many can you spot?)
Feifan Zhou tweet mediaFeifan Zhou tweet media
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