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ʇɹɥɐW uıɯƎ ⚡Nuri.com

ʇɹɥɐW uıɯƎ ⚡Nuri.com

@em

https://t.co/b7xdkTc4b5 Bitcoin & Non-Custodial Banking

Bitcoin Katılım Ocak 2009
7.5K Takip Edilen2.8K Takipçiler
ʇɹɥɐW uıɯƎ ⚡Nuri.com
1.Nobel Prize in Literature (2016)  2.Presidential Medal of Freedom (2012)  3.National Medal of Arts (2009)  4.Pulitzer Prize Special Citation (2008)  5.Kennedy Center Honors (1997)  6.Academy Award — Best Original Song, “Things Have Changed” (2001)  7.Golden Globe — Best Original Song, “Things Have Changed”  8.10 competitive Grammy Awards + Grammy Lifetime Achievement (1991)  — incl. 2× Album of the Year (Concert for Bangladesh, Time Out of Mind) 9.Officier de la Légion d’honneur (2013)  10.Commandeur des Arts et des Lettres (1990)  11.Rock and Roll Hall of Fame (1988)  12.Songwriters Hall of Fame (1982)  13.Multiple Grammy Hall of Fame inductions 14.MusiCares Person of the Year (2015)  15.Berklee honorary Doctor of Music (Nov 2025)  Who is that? :) @bobdylan
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ClaudeDevs
ClaudeDevs@ClaudeDevs·
Usage limits are up, effective today we're: 1) Doubling Claude Code's 5-hour limits for Pro, Max, Team and seat-based Enterprise plans 2) Removing peak hours limit reduction on Claude Code for Pro and Max plans 3) Substantially raising our API rate limits for Opus models
Claude@claudeai

We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity. This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.

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Atai Barkai
Atai Barkai@ataiiam·
We've raised $27M to build @CopilotKit — the Agentic Frontend Stack connecting humans & agents. Because all UI will be AI. Co-led by Glilot Capital, NfX and SignalFire.
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Read that cats think humans are just big cats, everything above they can’t comprehend.
We don't deserve cats 😺@catsareblessing

Your cat may act completely independent all day. They won’t come when called. They ignore your affection. But the moment you head to the bathroom? There they are, right behind you. Sitting. Staring. Watching while you’re on the toilet. So… why does this happen? Surprisingly, it’s actually really sweet. In the wild, cats are most vulnerable when relieving themselves, they can’t run or defend themselves easily. That’s why cats in groups often take turns standing guard for each other. When your cat follows you into the bathroom, they’re saying: “I know you’re vulnerable right now, so I’m going to protect you.” They’re literally being your bodyguard. Why the bathroom? - Small, enclosed space — easy to monitor for threats - You’re stationary — they know exactly where you are - You’re vulnerable — their protective instincts kick in- Quiet time — no distractions, just you and them Your cat sees you as family. In feline social groups, only cats who deeply trust and care for each other offer this kind of protection. So even if your cat seems aloof, following you to the bathroom is actually one of the purest signs of love and trust. They’re saying: “I may not be cuddly, but I’ll always have your back.” Your bathroom buddy isn’t being weird, they’re just being the best friend they know how to be.

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Polymarket
Polymarket@Polymarket·
JUST IN: a16z raises $2.2 billion crypto fund to invest in projects linking crypto with AI & traditional finance.
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Guri Singh
Guri Singh@heygurisingh·
this is the most expensive sentence Anthropic will read this year. Someone just shipped a frontier LLM with a 12 million token context window that runs at 5% the cost of Opus 4.7. It's called SubQ. First model built on sub-quadratic sparse attention. Here's why every AI lab should be panicking right now. Transformers check every word against every other word. Double the context, compute quadruples. The labs have known this since 2017. They scaled it anyway and charged you more the longer you needed your model to think. SubQ only computes the relationships that actually matter. → 12M token context with 98% accuracy at full length → 52x faster than FlashAttention at 1M tokens → Runs at under $1.50 per million tokens vs Opus at $15 → Cost scales linearly instead of exponentially Now read this part slowly. Every context window you've ever been sold was a marketing number. Accuracy on every frontier model falls apart past 200k tokens. The labs printed 1M on the box knowing most of that window was decoration. The entire RAG industry exists because the foundation was broken. Vector databases. Chunking pipelines. Summarization loops. Every workaround you've ever built or paid for was an apology for quadratic attention. They weren't clever engineering. They were duct tape on architecture that should have been replaced years ago. SubQ fixed the foundation. The math on every agent product being built right now just changed. Long-context at under 10% of Anthropic's price isn't a discount. It's you no longer paying for the company's mistake. The transformer was the first workable answer. Everyone scaled it so hard nobody wanted to admit it was a local maximum. @subquadratic is the first team to actually ship the way out. Opus 4.7 was the long-context benchmark king. That sentence is now in the past tense.
Alexander Whedon@alex_whedon

Introducing SubQ - a major breakthrough in LLM intelligence. It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA), And the first frontier model with a 12 million token context window which is: - 52x faster than FlashAttention at 1MM tokens - Less than 5% the cost of Opus Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention). Only a small fraction actually matter. @subquadratic finds and focuses only on the ones that do. That's nearly 1,000x less compute and a new way for LLMs to scale.

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Carl Rivera
Carl Rivera@carlrivera·
I’m becoming CPO at @nubank. Everyone has a bank. Almost no one loves theirs. We’re going to change that.
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goodalexander
goodalexander@goodalexander·
you don't need to 'prompt engineer' anymore you just need to articulate yourself clearly and have some kind of system to keep track of everything to avoid going insane
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Monerium
Monerium@monerium·
Euros can now be used onchain with liquidity that comes in when it is needed. At @EthCC, @gislik shared how we approached this with $EURe: Instead of relying on capital that has to sit in place ahead of time, liquidity is made available as a trade is executed and backed in the same moment. That means euro stablecoins can be traded in larger amounts without running into thin liquidity or poor execution. In this clip, Gísli explains how our new liquidity architecture works and why it matters for euro markets onchain.
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