generalistLab

300 posts

generalistLab

generalistLab

@generalistve

Master of the trade, not the niche. Moving past the "saved for later" folder to actually build.

Katılım Aralık 2024
215 Takip Edilen17 Takipçiler
Maurizio
Maurizio@themgmtconsult·
I hear clients have to pay $10K/day for OpenAI consultants (or "Forward Deployed Engineers", same thing) with little value out of them to justify such an exorbitant bill. It's a bit like when you hire SAP services consultants to implement the SAP product when you could have got experts from some SAP partner firm for 1/3 of the cost. Clients usually start with that configuration because they believe these consultants have better ties to the product arm, then are forced to switch because nobody has infinite budget and the "laziness" of these services folks from the product company become apparent after a few months.
OpenAI@OpenAI

Today we’re launching the OpenAI Deployment Company to help businesses build and deploy AI. It's majority-owned and controlled by OpenAI. It brings together 19 leading investment firms, consultancies, and system integrators to help organizations deploy frontier AI to production for business impact. openai.com/index/openai-l…

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generalistLab
generalistLab@generalistve·
@aakashgupta Additionally, Grok is a B2C business that you can afford to make mistakes with consumer products. From was unusable for long periods, with frequent crashes and payment issues. Businesses don't accept and sue the hell out of you
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Aakash Gupta
Aakash Gupta@aakashgupta·
Every productivity revolution in the last 30 years promised this exact 2-4x cut. ERPs in the 90s. Six Sigma. Lean. Reengineering the Corporation (Hammer & Champy, 1993). Outsourcing. RPA. Each delivered real productivity gains in specific functions but never produced sustained 2-4x reductions across an entire company, despite three decades of effort and trillions in technology spend. X is the most aggressive real-world test of Marc's range. 7,500 employees to 1,500 under Elon, an 80% reduction, beyond Marc's upper bound. The platform kept running through it. Significant operational validation that aggressive cuts don't break product execution. Meta ran the version that compounded fastest in equity terms. 25% reduction in 2023, focused on management layers and Reality Labs bets. Stock 6x'd from the trough. Salesforce, Google, Microsoft executed similar playbooks in 2023-2024. 10-15% targeted cuts. Stock prices rerated upward across the cohort. Selection is doing more work than magnitude across these success cases. Meta picked middle managers and unprofitable bets. The 1.2-1.5x range with surgical selection is the demonstrated upper bound for clean equity outcomes. Marc's "2-4x for decades" framing is the bull case for AI-replaces-labor portfolios across venture. Even the conservative version of the thesis is significant: AI probably enables 20-35% headcount reductions at large companies over the next decade, concentrated in specific job categories. That's the most significant productivity shift since the internet. AI changes the productivity ceiling. The "for decades" framing tries to load that change with a 30-year backstory the historical record doesn't support.
Polymarket Money@PolymarketMoney

NEW IN: Investor Marc Andreessen says “every big company is overstaffed by 2-4x and has been for decades” and AI is finally fixing it.

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generalistLab
generalistLab@generalistve·
@aakashgupta Companies are overstaffed for a reason. Risk compliance erodes employees' negotiating power and creates a pipeline for future talent. It's a choice that AI won't replace 1:1.
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generalistLab retweetledi
Polymarket Money
Polymarket Money@PolymarketMoney·
NEW IN: Investor Marc Andreessen says “every big company is overstaffed by 2-4x and has been for decades” and AI is finally fixing it.
Polymarket Money tweet mediaPolymarket Money tweet media
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generalistLab@generalistve·
@MatthewBerman @trq212 I don’t think this is new, It’s similar to using JSON for prompts which stated to become unpopular again
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generalistLab@generalistve·
@AIInvestorHQ You friend bought a house $650k Cash Then he must be retarted. Most likely put 20% that’s 130k in 2007 and not 650k
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JC Investing
JC Investing@AIInvestorHQ·
People think buying a house is a “smart Investment” My friend bought a great house in 2007 for $650k Today he can’t even sell it for $775k That same $650k in the S&P 500? Now worth $4.29 million
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generalistLab
generalistLab@generalistve·
@petergyang @googlephotos You're overengineering. There's already a folder for specific people that you can create. On top of that, you can either manually pick the photos you want or it'll automatically make a video from the available folder
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Peter Yang
Peter Yang@petergyang·
I synced my iPhone photos to @googlephotos and there seems to be no way to just prompt Gemini to "create a highlight reel of me with my daughter growing up" Seems like a missed opportunity.
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Aaron Rupar
Aaron Rupar@atrupar·
"The average IQ in Somalia hovers around 70, and that's the threshold for mentally handicapped ... they're a net drain on the society" -- even by MAGA standards, the unvarnished racism of this interview of Rep. Brandon Gill by Benny Johnson is breathtaking
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generalistLab
generalistLab@generalistve·
@atrupar @grok @grok who the fuck is Lynn/Becker and why are they testing war-torn children as if that’s representative?
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generalistLab
generalistLab@generalistve·
@atrupar @grok Somalia has no functioning government. You can't even get opinion polls. It's not even possible to get IQ test data.
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WOLF
WOLF@WOLF_Financial·
CHRIS CAMILLO JUST LAID OUT HOW TO MAKE $500,000 A YEAR AS AN "AI GUY" FOR LOCAL BUSINESSES His blueprint: 1. Walk into any HVAC, plumbing, or sprinkler business. 2. Ask where they're leaking money. 3. Build them an AI agent that answers after-hours calls, sends instant texts, and gets quotes out in real time. 4. Integrate it with their CRM for free. 5. Charge them $2K-$3K/month to be their "AI guy." Repeat across 10-20 businesses. "There are people right now doing this."
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generalistLab
generalistLab@generalistve·
@aakashgupta This is invaluable. High standards have killed so many dreams before they take off. Post the video, make the cold call—you’ll learn from failure. I need to do that myself.
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Aakash Gupta
Aakash Gupta@aakashgupta·
Jensen Huang runs a $4.9 trillion company. His advice for success: have low expectations. "People with very high expectations have very low resilience. One of my great advantages is that I have very low expectations." He said that to Stanford GSB in 2024, then wished the room "ample doses of pain and suffering." He earned the right to say that. In 1973, when Jensen was nine, his parents put him and his ten-year-old brother on a plane from Taiwan to Tacoma, Washington as unaccompanied minors. The boys spoke no English. Their uncle, who'd just immigrated himself, was supposed to enroll them in a prestigious American boarding school. He picked one out of a brochure and sent them. The school was Oneida Baptist Institute in rural Kentucky. It wasn't a prep school. It was a reform academy for troubled boys. Their parents had sold most of what they owned to pay the tuition for what they thought was the American dream. They had unknowingly sent their two small Taiwanese sons to live in a dormitory with American teenagers who'd been sent away by their own families. Jensen's roommate was 17 years old, covered in knife scars, and could not read. Every morning, Jensen scrubbed the school's bathrooms. Every afternoon, he and his brother walked across a wooden swinging bridge with planks missing from it to get to class. The older boys at the school bullied them constantly. One of them tried to throw Jensen off the bridge. Jensen taught his roommate how to read. The roommate taught Jensen how to bench press. He did not narrate any of this as trauma. He told a reporter years later that he was "probably the best toilet cleaner they ever had." When he was eventually sent to Oregon, he got a job at Denny's at age 15. Dishwasher first. Then busboy. Then waiter. He says he learned more about handling pressure during a dinner rush than he later learned running NVIDIA through three near-death moments. In 2019, Jensen donated $2 million to Oneida Baptist Institute. They named a building after him. Greatness, in his framing, is downstream of character. Character is downstream of suffering. He did not get to $4.9 trillion by aiming for it. He got there because, at nine years old, he had already learned that the next day was probably going to be worse.
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