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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
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.
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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
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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...
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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...
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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 ...
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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…
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
R to @arena: AutoEval scores provide an early signal for comparing candidate model checkpoints before full live results become available. We compared AutoEval’s early ordering with the final live leaderboard. When two models were separated by at least 10 Arena points, AutoEval ranked the higher-scoring model correctly in more than 90% of cases. For gaps above 15 points, it correctly ordered every tested pair.
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Arena.ai (@arena)
AutoEval scores provide an early signal for comparing candidate model checkpoints before full live results become available.
We compared AutoEval’s early ordering with the final live leaderboard. When two models were separated by at least 10 Arena points…
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
R to @arena: The same approach extends beyond text. Across vision, image generation, and code arena, we train modality-specific reward models on live Arena preferences. For example, on Text-to-Image, our reward model was trained on more than 3 million preference pairs. On the public MMRB2, it achieves state-of-the-art performance among pointwise reward models, more than 9 points ahead of the next-best baseline.
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Arena.ai (@arena)
The same approach extends beyond text. Across vision, image generation, and code arena, we train modality-specific reward models on live Arena preferences.
For example, on Text-to-Image, our reward model was trained on more than 3 million preference pairs.…
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
R to @arena: Read more about AutoEvals on our blog: http://arena.ai/blog/autoeval-scores
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Arena.ai (@arena)
Read more about AutoEvals on our blog: http://arena.ai/blog/autoeval-scores
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
Inkling-Small (@thinkymachines) debuts at rank ~#88 (1431 pts, AutoEval) in Text Arena and ~#21 among open. This makes it one of only five US models in the top 25 open models overall. Note: this is an early AutoEval score, in which a Reward Model trained on Arena's human preference data casts automatic votes in place of live voting, giving a day-1 signal right at release. Scores are tagged preliminary until correlated with live votes. See the thread for more on how AutoEval works and the meth...
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Arena.ai (@arena)
Inkling-Small (@thinkymachines) debuts at rank ~#88 (1431 pts, AutoEval) in Text Arena and ~#21 among open.
This makes it one of only five US models in the top 25 open models overall.
Note: this is an early AutoEval score, in which a Reward Model trained…
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
R to @arena: Dive into the Inkling-Small AutoEval scores on Text Arena at: http://arena.ai/leaderboard/text
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Arena.ai (@arena)
Dive into the Inkling-Small AutoEval scores on Text Arena at: http://arena.ai/leaderboard/text
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
R to @arena: Read more about AutoEval scores and our methodology on our blog: http://arena.ai/blog/autoeval-scores
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Arena.ai (@arena)
Read more about AutoEval scores and our methodology on our blog: http://arena.ai/blog/autoeval-scores
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
⛏️
Block 960,289 just signaled BIP-110! 15 of 674 blocks this period — 2.23%. #BIP110 #Bitcoin [period 476] https://bip110monitor.com?data=eyJwY3QiOjIuMjMsInNpZyI6MTUsInRvdGFsIjo2NzQsInBlcmlvZCI6NDc2LCJzeW5jZWQiOnRydWUsImJpcE51bSI6IjExMCJ9.zqjSWUbcLXoHTCe1YwQPIFqhT5Pi7jqF2jf1qYhaS7A
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BIP-110 Monitor (@BIP110monitor)
⛏️
Block 960,289 just signaled BIP-110!
15 of 674 blocks this period — 2.23%.
#BIP110 #Bitcoin [period 476]
https://bip110monitor.com?data=eyJwY3QiOjIuMjMsInNpZyI6MTUsInRvdGFsIjo2NzQsInBlcmlvZCI6NDc2LCJzeW5jZWQiOnRydWUsImJpcE51bSI6IjExMCJ9.zqjSWUbcLXoHTC…
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
Big Tech Wants Your Face
Switchedtolinux
Big Tech Wants Your Face
All of a sudden, every major tech company wants your face on your device, and that is suspicious. We also look at more surveillance expansion, and other articles in privacy, security, and technology.
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
Google reveals Gemini Robotics 2.0, promising improved dexterity and safety
Ars Technica
Google reveals Gemini Robotics 2.0, promising improved dexterity and safety
Gemini Robotics 2 includes three models, but only one is publicly available right now.
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
You Can’t Have Bitcoin Both Ways
The Bitcoin And . . . Podcast
You Can’t Have Bitcoin Both Ways
The U.S. wants Bitcoin as a strategic asset but resists its censorship resistance, privacy tools, and growing role as real financial infrastructure.
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
🟢
Since December, the supply held for more than 1 year keeps increasing.
💥
This has recently accelerated, with the monthly average now at +217,000 Bitcoin. This is a positive development, indicating that many holders who bought a year ago, and therefore at higher prices, continue to hold. —> But we shouldn’t view things solely from this angle. Even though this builds a solid base, and we can see that this supply increases during every bear market, it’s also a sign of weak demand.
🔴
During stro...
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Darkfost (@Darkfost_Coc)
🟢
Since December, the supply held for more than 1 year keeps increasing.
💥
This has recently accelerated, with the monthly average now at +217,000 Bitcoin.
This is a positive development, indicating that many holders who bought a year ago, and therefore…
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
BUKELE: "We never escaped the 2008 financial crisis. We just shifted the pain."
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Bitcoin News (@BitcoinNewsCom)
BUKELE: "We never escaped the 2008 financial crisis. We just shifted the pain."
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
TREASURY SECRETARY SCOTT BESSENT QUOTES SATOSHI "America will lead or America won’t. It’s not more complicated than that. I believe Satoshi once said it best: “If you don’t believe me or don’t get it, I don’t have time to try to convince you, sorry.”
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Bitcoin News (@BitcoinNewsCom)
TREASURY SECRETARY SCOTT BESSENT QUOTES SATOSHI
"America will lead or America won’t. It’s not more complicated than that. I believe Satoshi once said it best: “If you don’t believe me or don’t get it, I don’t have time to try to convince you, sorry.”
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
Day 1 of BTC++ Consensus Edition
👀
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Bitcoin News (@BitcoinNewsCom)
Day 1 of BTC++ Consensus Edition
👀
SATOSHI • NOSTR • AI CLAW • LINUX • ₿2B • TECH • OSINT | HODLER DIY
RT by @januszg_: bitcoin++ payments edition coming to berlin this fall -- october 1-3 agents welcome. have them buy u your tickets now https://btcpp.dev/berlin26
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nifty, ideas guy (@niftynei)
bitcoin++ payments edition coming to berlin this fall -- october 1-3
agents welcome. have them buy u your tickets now
https://btcpp.dev/berlin26