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Trippy Labs Profile
Trippy Labs

@TrippyLabs

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Following
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102
Statuses
2K

Multidisciplinary Studio | 1M+ @ https://t.co/IYKRfyOPj2 | $20M+ Onchain Charity

Joined August 2021
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@TrippyLabs
Trippy Labs
1 year
Beyond Basel 2024 πŸ„ Factory Town || Miami, FL w/ @pudgypenguins & @AbstractChain
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@JayaGup10
Jaya Gupta
11 days
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@ttunguz
Tomasz Tunguz
11 days
11 Predictions for 2026 Every year I make a list of predictions & score last year’s predictions. 2025 was a good year : I scored 7.85 out of 10. Here are my predictions for 2026 : 1. Businesses pay more for AI agents than people for the first time. This has already happened
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@lennysan
Lenny Rachitsky
15 days
My biggest takeaways from @ElenaVerna (Head of Growth at @Lovable): 1. In AI, you now need to find product-market fit every three months. Product-market fit used to mean: build something people want, then scale it for years. In AI, the underlying technology changes so fastβ€”and
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@DeFi_Hanzo
Hanzo γŠ—οΈ
16 days
🚨 $HYPE WILL BE WORTH $1, AND HERE'S WHY: Everyone keeps asking why HYPE is down ~60% from its ATH in September, when Hyperliquid is legitimately dominating. They generated $874M in fees this year. $3T+ in volume. Surpassed Ethereum and Solana in 30-day fee generation. Real
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@timourxyz
timour kosters
16 days
Great essay by Vitalik. Some brief thoughts: TL;DR: Society has a hollow middle; power is concentrated in the state and corporate oligarchies, leaving the individual isolated. We need "neo-tribes" to act as intermediate 'civil society' institutions. Part of our goal at
@VitalikButerin
vitalik.eth
17 days
My latest views on popups, network states, coordi-nations, zones, and where all of these things could lead us. (Long poast) https://t.co/g0kIWwiV59
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@bryan_johnson
Bryan Johnson
17 days
My magic mushroom longevity experiment found a metabolic reset button in the brain. We expected brain changes, but not a potential metabolic breakthrough. The discovery: my blood glucose control dramatically improved. + before: top 2% of population + after: top 0.2% of
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@_The_Prophet__
SightBringer
21 days
⚑️What she is feeling is skill deflation shock. And it is real. But the conclusion most people jump to is wrong. 1. The uncomfortable truth The pain is not that AI learned her craft. The pain is that her craft was procedural mastery, not scarce judgment. High-end
@alexandriagreen
The Alexandria Green 🧚🏾
22 days
The fact that it took me years to master high end retouching and frequency separation in photoshop, to the point where I developed fcking carpal tunnel before the age of 25 now people can just ask chat to do it edit anything for them is something that I have a hard time
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@shanaka86
Shanaka Anslem Perera ⚑
22 days
BREAKING: The $300 Billion Trap Nobody Saw Coming Two companies that have never turned a profit just signed the largest technology contract in human history. Oracle's credit default swaps hit 141 basis points this week. The highest since Lehman Brothers collapsed in 2008.
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@benroy
Ben Roy
23 days
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@gothburz
Peter Girnus πŸ¦…
23 days
@Jhaddix Satire is just documentation with better engagement metrics. Thank you. The industry provides.
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@aakashgupta
Aakash Gupta
23 days
This is the biggest news from today’s GPT-5.2 launch. Forget the benchmark charts OpenAI showed. Forget the 100% AIME score and the SWE-Bench Pro numbers. The real story is buried in a single data point from ARC Prize: 90.5% accuracy at $11.64 per task. A year ago, hitting 88%
@arcprize
ARC Prize
23 days
A year ago, we verified a preview of an unreleased version of @OpenAI o3 (High) that scored 88% on ARC-AGI-1 at est. $4.5k/task Today, we’ve verified a new GPT-5.2 Pro (X-High) SOTA score of 90.5% at $11.64/task This represents a ~390X efficiency improvement in one year
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@WatcherGuru
Watcher.Guru
23 days
JUST IN: πŸ‡ΊπŸ‡Έ SEC Chair Paul Atkins says US financial markets are moving "on-chain." "SEC is prioritizing innovation and embracing new technologies to enable this on-chain future."
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@guil_lambert
GEE-yohm LAMB-bear
23 days
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@godofprompt
God of Prompt
24 days
Everyone assumes ChatGPT uses some sophisticated RAG system with vector databases to remember your conversations. Not really. After reverse-engineering the entire memory architecture, this developer discovered something way simpler and frankly, smarter. ChatGPT uses four
@manthanguptaa
Manthan Gupta
24 days
I spent the last few days prompting ChatGPT to understand how its memory system actually works. Spoiler alert: There is no RAG used https://t.co/zxvRRP2GK8
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@0xQuasark
Paul Brown
24 days
Science just did the unthinkable: Researchers genetically modified the world's deadliest virus to trace how psilocybin physically repairs the brain... π—±π—Όπ˜„π—» π˜π—Ό π˜π—΅π—² π™šπ™­π™–π™˜π™© π—»π—²π˜‚π—Ώπ—Όπ—»π˜€ π—Άπ—»π˜ƒπ—Όπ—Ήπ˜ƒπ—²π—±. We've finally figured out why one trip can change your entire
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@pgreyy
pg
24 days
Re: where VCs are investing their funds. I scrapped @defillama raises data and sorted them out by protocols that have received >$10m in funding in the past 3 months (73 of them). Pretty much evident that VCs don't care about L1s anymore. None in the past 3 months save Tempo
@pgreyy
pg
25 days
they're busy funding real world assets, and ai companies now, lol wild assumption but i hope i'm wrong if i check the data.
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@IntuitMachine
Carlos E. Perez
24 days
The Hive Mind Paradox Scientists just proved something wild: a swarm of bees is mathematically identical to a single AI learning algorithm. Not 'similar to.' Not 'inspired by.' Identical. Here's why this changes everything we thought about intelligence 🧡 For centuries,
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@patrick_oshag
Patrick OShaughnessy
25 days
"The most important thing in the next 3-4 years is data centers in space. In every way, data centers in space, from a first principles perspective, are superior to data centers on earth. In space, you can keep a satellite in the sun 24 hours a day. The sun is 30% more intense,
@patrick_oshag
Patrick OShaughnessy
25 days
This is my fifth conversation with @GavinSBaker. Gavin understands semiconductors and AI as well as anyone I know and has a gift for making sense of the industry's complexity and nuance. We discuss: - Nvidia vs Google (GPUs + TPUs) - Scaling laws and reasoning models - The
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@IntuitMachine
Carlos E. Perez
28 days
You know how some people seem to have a magic touch with LLMs? They get incredible, nuanced results while everyone else gets generic junk. The common wisdom is that this is a technical skill. A list of secret hacks, keywords, and formulas you have to learn. But a new paper
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@credistick
Dan Gray
29 days
Important perspectives on the state of finance and investment: - @WillManidis - on casino culture - @peterthiel - on the rise of socialism - @CarlotaPrzPerez - on the delayed 'golden age' All three point to the same thesis: policy decisions have produced an inept financial
@credistick
Dan Gray
4 months
There are two (outstanding) books that get a lot of play in respect to understanding bubbles in tech: - "Boom: Bubbles and the End of Stagnation", by @ByrneHobart and @TobiasAHuber. - "Technological Revolutions and Financial Capital", by @CarlotaPrzPerez The theme which often
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