Python Trending (@pythontrending)
token-optimizer는 컨텍스트 압축 과정에서 사라지거나 왜곡되는 'ghost tokens'를 찾아 수정해, 컨텍스트 품질 저하를 줄이는 도구다. 긴 문맥을 다루는 AI 애플리케이션과 에이전트 워크플로우에서 토큰 효율성과 출력 안정성을 개선하는 데 유용하다.
Python Trending (@pythontrending)
token-optimizer는 컨텍스트 압축 과정에서 사라지거나 왜곡되는 'ghost tokens'를 찾아 수정해, 컨텍스트 품질 저하를 줄이는 도구다. 긴 문맥을 다루는 AI 애플리케이션과 에이전트 워크플로우에서 토큰 효율성과 출력 안정성을 개선하는 데 유용하다.
Dan McAteer (@daniel_mac8)
LLM의 토큰 소비를 60~90%까지 줄일 수 있다고 주장하는 트윗입니다. 모델 추론 비용과 성능 효율을 크게 개선할 가능성이 있어, LLM 최적화나 서빙 인프라에 관심 있는 개발자에게 주목할 만합니다.
Tokenization is gaining focus @ Morgan Stanley.
Morgan is moving towards “onchain” finance as a next step in evolving how it serves wealth clients. Plans indicate blockchain-based infrastructure will become part of its core wealth strategy, not a standalone crypto initiative. https://www.coindesk.com/business/2026/04/15/why-morgan-stanley-s-cfo-thinks-tokenization-is-the-next-big-step-for-its-multi-trillion-wealth-business #MorganStanley #BlockChain #DigitalAssets #Tokenization #Banking #OnChain #Finance #WealthManagement
Sure, there are things we don't understand about #LLMs. We know how the underlying #code works, and #tokenization, and all that, but the models are so complicated we can't just take them apart and look at them the way we would, say, a big database. This leads to unexpected emergent behaviors.
That reminds me a lot of my job, which boils down to modeling living systems with #math and code. We know the #physics, we know the #chemistry, and we can observe the #biology, but there are a whole lot of layers in between where apparently simple processes lead to remarkably complicated results.
And? It doesn't mean we don't *understand* living systems, it just means we don't know every single thing that goes on inside them all the time. So we need to #experiment to figure out the most probable results: "If I do this, what do I expect to happen?" Then quantify our #uncertainty about that expectation, which is pretty important when, say, #cancer patients want to know how long they have to live.
Congratulations, #computers! You've joined the entire rest of the universe. In that limited sense, the idea that we "don't understand AI" is true. But it's not some unknowable permanent mystery.
On the scale of revolutions in human affairs, I'm still going with stone #tools, controlled #fire, and #agriculture as somewhat bigger deals. On the second tier I'd put #writing, #machinery that runs on something other than #muscle power, and #electronics including computers themselves.
I don't say it's *impossible* AI will be on the same scale eventually, but if so it won't be any more of a #singularity than the previous big technological shifts. "Our time is unique and nobody else has ever experienced any change this profound!" doesn't have a great track record.
A tokenized fund by Amundi and Spiko just hit $400M in 3 weeks—powered by Chainlink infrastructure. Is tokenized finance entering its next phase?
#Chainlink #Tokenization #CryptoNews #Blockchain #RWAs
https://www.cointoria.com/chainlink-powers-400m-tokenized-fund-surge-with-amundi-and-spiko/

Traditional finance is moving quickly into tokenized assets, longer trading hours, and blockchain-based settlement. That leaves DeFi’s clearest edge, composability, under pressure to prove it can be trusted at institutional scale.

In a new staff research note published on Thursday, The International Monetary Fund (IMF) argues that tokenization represents a "structural shift in financial architecture," not just an incremental efficiency gain.