BowTiedQQxuanx (@qqxuanx) 's Twitter Profile
BowTiedQQxuanx

@qqxuanx

inspired by BowTiedBull & many others in the jungle - building wifi biz - former academic ( Permanent Head Damage ) - Lady Luck brought me to the Jungle

ID: 1187269081075863552

calendar_today24-10-2019 07:26:32

1,1K Tweet

258 Followers

2,2K Following

Mark (@markchadwickx) 's Twitter Profile Photo

I don't think people understand how insane this actually is... Nasdaq just partnered with Kraken to enable 24/7 trading of tokenized stocks. The craziest part is it'll run on Kraken - not through traditional brokers like Schwab or TD. Last week the Fed, FDIC, and OCC confirmed

I don't think people understand how insane this actually is...

Nasdaq just partnered with Kraken to enable 24/7 trading of tokenized stocks.

The craziest part is it'll run on Kraken - not through traditional brokers like Schwab or TD.

Last week the Fed, FDIC, and OCC confirmed
Xeer (@xeer) 's Twitter Profile Photo

the older i get the more i realize how much of life is just increasing your surface area for luck. go outside more. travel when you can. try new cafés. wander into museums. take a different route home. hike a new trail. see a city you’ve never seen. bring a notebook. talk to

Manly Wisdom (@manly_wisdom_x) 's Twitter Profile Photo

Game theory teaches: never enter a game you haven’t studied, never reveal your strategy until the incentives are locked, and never play to be liked, play to make the rules irrelevant by building leverage.

BowTiedBull.eth - Read Pinned or NGMI (@bowtiedbull) 's Twitter Profile Photo

People don't fail due to lofty goals. They confuse pain for failure 1) Do hard things now. Expands pain tolerance 2) Shorten the time. Not years, one shipped product. Onto next 3) Motivation is for weak people Systematic Optimization > Emotional Fuel Repeat, Repeat, Repeat

The Startup Ideas Podcast (SIP) 🧃 (@startupideaspod) 's Twitter Profile Photo

Sam Altman predicted the first one-person billion-dollar company. Matthew Gallagher built a $401M company in year one with $20,000, AI tools, and zero employees. This year he's on track for $1.8B. With 2 people. The playbook has changed: Old path: - Come up with an idea -

Sam Altman predicted the first one-person billion-dollar company.

Matthew Gallagher built a $401M company in year one with $20,000, AI tools, and zero employees.

This year he's on track for $1.8B. With 2 people.

The playbook has changed:

Old path:
- Come up with an idea
-
Matthew Gallagher (@galligator) 's Twitter Profile Photo

Everyone asking why I would ever share this information, has it occurred to you that there are people who do not have a zero sum outlook on success? Elon opened electric vehicle patents to the public. Tim Berners-Lee did it with the web. There are genuinely decent people who

@levelsio (@levelsio) 's Twitter Profile Photo

Very cool and congrats to Matthew Gallagher Most interesting thing is as he said himself that it's not an AI/tech biz that is $1B solo It's a medical business that applied AI

Innerdevcrypto (@innerdevcrypto) 's Twitter Profile Photo

The single biggest advantage of having more money, is that you more time for inner development That is true value of financial wealth: more time to look inside. Not more cars, more houses, more bullsh*t. More free time to figure out who/what is the ¨I¨ And still, even if you

Daniel Batten (@dsbatten) 's Twitter Profile Photo

Here's my case for why every Bitcoiner should experiment with breathwork First - a direct story. One of my clients flew to Costa Rica for three days of one-on-one coaching. He had a list of plans to work through, but my intuition said "Nah. We're doing SKY breathing training."

Claude (@claudeai) 's Twitter Profile Photo

Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform.

Cointelegraph (@cointelegraph) 's Twitter Profile Photo

🇸🇬 JUST IN: Singapore's Monetary Authority is urging banks to strengthen cybersecurity defenses amid growing concerns over Anthropic's Mythos AI model spreading across Asia.

🇸🇬 JUST IN: Singapore's Monetary Authority is urging banks to strengthen cybersecurity defenses amid growing concerns over Anthropic's Mythos AI model spreading across Asia.
SightBringer (@_the_prophet__) 's Twitter Profile Photo

⚡️Meta just confirmed the AI labor displacement thesis at the largest scale yet visible and the fact that AI is writing 4x the code that human engineers write tells you the disruption has crossed from theoretical to operational. The numbers matter. 10% of Meta's workforce is

Anthony Pompliano 🌪 (@apompliano) 's Twitter Profile Photo

I have changed my mind on how AI will impact jobs in America. Previously, I believed AI would replace many entry level roles typically filled by young employees. The technology would then work its way up the organization and eventually reduce the total number of jobs in a

Zac (@zac_pundi) 's Twitter Profile Photo

Singapore’s AI obsession just hit Everest peak. The Foreign Minister is self-hosting Claude on a Raspberry Pi and building a diplomatic knowledge graph using Karpathy’s LLM Wiki pattern. Wahlao! SG devs, the minister is coming for your job. And he’s not even using Cursor — he’s

Singapore’s AI obsession just hit Everest peak.

The Foreign Minister is self-hosting Claude on a Raspberry Pi and building a diplomatic knowledge graph using Karpathy’s LLM Wiki pattern. Wahlao!

SG devs, the minister is coming for your job. And he’s not even using Cursor — he’s
Anthropic (@anthropicai) 's Twitter Profile Photo

New Anthropic research: Project Deal. We created a marketplace for employees in our San Francisco office, with one big twist. We tasked Claude with buying, selling and negotiating on our colleagues’ behalf.

Avi Roy (@agingroy) 's Twitter Profile Photo

Scientists and educators age fastest. Athletes age slowest. A facial aging clock trained on occupation-linked photos found that the gap between your biological face-age and your real age predicts all-cause mortality. The wider that gap, the higher your risk. Women aged slower

Scientists and educators age fastest. Athletes age slowest.

A facial aging clock trained on occupation-linked photos found that the gap between your biological face-age and your real age predicts all-cause mortality. The wider that gap, the higher your risk.

Women aged slower