SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
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whybitcoinonly.com
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SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
1.01K subscribers
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
NEW ERA AT THE FEDERAL RESERVE
Substack
NEW ERA AT THE FEDERAL RESERVE
Warsh is challenging forward guidance, institutional inertia, and the Fed’s traditional approach to inflation.
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
Run Kimi K3 in Just 64 GB RAM? Meet Deltafin
Medium
Run Kimi K3 in Just 64 GB RAM? Meet Deltafin
How to run Kimi K3 in local system?
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
What is Kimi Delta Attention (KDA) in Kimi K3?
Medium
What is Kimi Delta Attention (KDA) in Kimi K3?
When Moonshot AI released Kimi K3, one of the biggest technical highlights wasn’t just its 2.8 trillion parameters or 1 million token…
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
mundoruralbusiness
source
YouTube
DOSSIÊ BOI BR 2026/ 2031: PREPARADO PARA LUCRAR MAIS?
Tenha acesso agora mesmo a todo o conteúdo exclusivo para assinantes da Rural Business, conteúdos na integra, além de cotações, gráficos, análises de mercados diárias de Soja, Milho, Boi, Leite, Suínos e Frangos, acesso ilimitado a todas as séries investigativas…
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
I stopped distro hopping when I realized the desktop environment was the real upgrade
XDA
I stopped distro hopping when I realized the desktop environment was the real upgrade
From one vice to the next.
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
Kimi K2.7 Code is live on @nprofile…6nzx Use Open Weight models ...
Private Provider (npub1fe…ejzfa)
Private Provider on Nostr:
Kimi K2.7 Code is live on routstr Use Open Weight models with Open Source money https://routstr.com/routstrd
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
Run multiple isolated agents in a single Sandbox
Vercel
Run multiple isolated agents in a single Sandbox - Vercel
The @vercel/sandbox SDK now supports multiple Linux users and groups, so you can run agents side by side in a single Sandbox.
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
Quem é Satoshi?
#Analise
source
YouTube
SATOSHI NAKAMOTO E BITCOIN
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
Com rodada de R$ 5,3M, startup quer escalar IA para comércio exterior
Startups
Com rodada de R$ 5,3M, startup quer escalar IA para comércio exterior - Startups
A cearense Einship recebeu cheque da gringa Parceiro Ventures para acelerar expansão internacional e expandir sua plataforma AI-native
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
The most powerful thing about understanding bitcoin is accepting the fact that everything you thought you knew about finances was basically a lie This really shows you what kind of person can even understand it in the first place, because most people with decades and decades of a certain thought process will never be able to recover from it The pitfall here is that college level economics are some of the worst teachings that can possibly shape your mind if you want to understand what money ac...
Nitter
Ron Sovereignty Swanson
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🗝️
(@RonSwanonson)
The most powerful thing about understanding bitcoin is accepting the fact that everything you thought you knew about finances was basically a lie
This really shows you what kind of person can even understand it in the first place, because most people with…
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
I will keep pounding this drum, but the entire last cycle was during economic headwinds The correlation here is not up for debate I truly believe that the “diminishing returns” crowd are going to have their next reset in the future
Nitter
Ron Sovereignty Swanson
⚡️
🗝️
(@RonSwanonson)
I will keep pounding this drum, but the entire last cycle was during economic headwinds
The correlation here is not up for debate
I truly believe that the “diminishing returns” crowd are going to have their next reset in the future
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
I love when people tell me that a finite money doesn’t work in an economy The reason I love this so much is because the world has never even had an adequate and functional money that could operate in a finite capacity until bitcoin was discovered We’ve literally never even had that opportunity before… Please tell me more, money prophet
😂
Nitter
Ron Sovereignty Swanson
⚡️
🗝️
(@RonSwanonson)
I love when people tell me that a finite money doesn’t work in an economy
The reason I love this so much is because the world has never even had an adequate and functional money that could operate in a finite capacity until bitcoin was discovered
We’ve…
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
TFTC
#Article
#TFTC
#Economics
#Adoption
source
www.tftc.io
Satsuma Technology Shareholders Vote 90% to Liquidate 668 BTC Treasury
Satsuma shareholders voted 90%+ on July 20 to dump 668 BTC and delist from the LSE. Less than 20% of £163.6M raised will be returned.
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
Quoting Bruce Schneier
Simon Willison’s Weblog
A quote from Bruce Schneier
The writing assignments I give my students are gym tasks, not work tasks. I ask them to write policy memos not because the world needs more policy memos. I assign …
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
Tesla Builds 10 Millionth EV: A Look Back at Each Milestone
Not a Tesla App
Tesla Builds 10 Millionth EV: A Look Back at Each Milestone - Not a Tesla App
The Fremont Factory produced the 10 millionth Tesla vehicle globally this week, showcasing impressive manufacturing growth over nearly two decades
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
Text-to-Image Arena helps you find image generation models with granular categories. Now, we’re bringing that same level of detail to image editing by launching categories in Single and Multi-Image Edit Arenas. With millions of real user comparisons, Arena can show not just which model wins overall—but what each model does best. Single Image Edit and Multi-Image Edit have the same seven categories as Text-to-Image: photorealistic, portraits, cartoon, art, 3D modeling, commercial design, and t...
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Arena.ai (@arena)
Text-to-Image Arena helps you find image generation models with granular categories. Now, we’re bringing that same level of detail to image editing by launching categories in Single and Multi-Image Edit Arenas.
With millions of real user comparisons, Arena…
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
R to @arena: We analyzed >3M votes to see if our 7 categories were truly independent. The answer? Not exactly. - Photorealistic + Portraits overlap 64%. - Commercial Design + Text Rendering overlap 36%. - Photorealistic and Art overlap under 1% — they're different jobs.
Nitter
Arena.ai (@arena)
We analyzed >3M votes to see if our 7 categories were truly independent. The answer? Not exactly.
- Photorealistic + Portraits overlap 64%.
- Commercial Design + Text Rendering overlap 36%.
- Photorealistic and Art overlap under 1% — they're different jobs.
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
R to @arena: For more details, check out the full leaderboard: https://arena.ai/leaderboard/image-edit
Nitter
Arena.ai (@arena)
For more details, check out the full leaderboard: https://arena.ai/leaderboard/image-edit
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
Today we’re launching AutoEval: a new evaluation methodology that ranks models using reward models based on millions of real Arena user preferences. Highlights: - High-quality evaluation signals calibrated on real preference data - Strong alignment with live human evaluations - Evaluations that are several orders of magnitude faster (hours instead of days) - Support for Text, Vision, Image, and Code Arena AutoEval enables us to evaluate newly launched models much faster and share results with...
Nitter
Arena.ai (@arena)
Today we’re launching AutoEval: a new evaluation methodology that ranks models using reward models based on millions of real Arena user preferences.
Highlights:
- High-quality evaluation signals calibrated on real preference data
- Strong alignment with…
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
R to @arena: How does AutoEval produce Arena Score? For a new model to be evaluated, we generate responses on prompts sampled from live Arena evaluations. A pointwise reward model on millions of pairwise human votes to score each response and converts score differences into soft votes. We then pass those votes through the same ranking pipeline used for live human evaluations. The result appears directly on the leaderboard as a clearly marked, preliminary AutoEval score. The lightning-tagged r...
Nitter
Arena.ai (@arena)
How does AutoEval produce Arena Score?
For a new model to be evaluated, we generate responses on prompts sampled from live Arena evaluations. A pointwise reward model on millions of pairwise human votes to score each response and converts score differences…
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
R to @arena: We train our reward model to handle challenges like preference shifts, increasingly subtle model differences, ambiguous tie votes, and longer and more context-dependent interactions. To evaluate it fairly, we use a temporal holdout: train on historical votes, and test on models released later. AutoEval’s early scores achieved >0.98 ranking correlation with the live scores that followed. Our text reward model also predicts human preferences 8-10% more accurately than frontier LLM ...
Nitter
Arena.ai (@arena)
We train our reward model to handle challenges like preference shifts, increasingly subtle model differences, ambiguous tie votes, and longer and more context-dependent interactions. To evaluate it fairly, we use a temporal holdout: train on historical votes…