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Julian Sawyer

Julian Sawyer

CEO 於 Zodia Custody · Team 於 Gemini · Team 於 Bitstamp

Julian Sawyer 是 Zodia Custody 的執行長,曾任 Bitstamp 的執行長以及 Starling Bank 的共同創辦人。他曾任 Gemini 的英國與歐洲董事總經理,以及 Starling 的共同創辦人兼營運長,帶領公司經歷高速成長,包括擴展其應用程式,近期已達到一百萬客戶。Starling Bank 是英國最大的行動銀行之一,顛覆了零售銀行業。Julian 也負責 Starling 的業務營運,包括支付系統、卡片營運與客戶支援。在此之前,他創立了財務管理顧問公司 Bluerock Consulting,並於 年出售。在過去 年中,他曾在高速成長的金融服務組織工作,包括在 Andersen Consulting(現為 Accenture)和 Ernst & Young 擔任管理顧問,專注於卡片與支付產業的大規模轉型。歐洲是現代金融市場的發源地,英國數百年來一直是全球金融創新之都。深思熟慮的監管概念正是從這些市場數世紀的經驗教訓中發展而來。

新聞提及

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@natbrunell2026年6月

Economists asked ChatGPT, Gemini and Claude which jobs were most vulnerable to being replaced by AI. The answers often varied widely. https://t.co/9DPoGWhK8s

@WSJ2026年6月

Economists asked ChatGPT, Gemini and Claude which jobs were most vulnerable to being replaced by AI. The answers often varied widely. https://on.wsj.com/3PFanwg

@wsj2026年6月

ELON MUSK GAVE A MASSIVE WARNING ABOUT CHATGPT AND GEMINI: “MY CONCERN IS THAT THEY ARE NOT MAXIMALLY TRUTH-SEEKING. THEY ARE PANDERING TO POLITICAL CORRECTNESS. WITH XAI, OUR GOAL IS TO BE AS TRUTH-SEEKING AS POSSIBLE, EVEN IF IT’S UNPOPULAR. THAT’S IMPORTANT.”

@pete_rizzo_2026年6月

Healthcare can't deploy Claude. Legal can't deploy GPT. Defense can't use Gemini. Their data cannot be seen by a third party. SERV's privacy stack solves this: TEE-backed inference, end-to-end encryption. No provider sees the raw input. Enterprise AI is finally possible.

@cryptoshiro_2026年6月

elon's on a generational run right now, google just agreed to pay spaceX ~$1 billion per MONTH for 3 years -> google accesses 110,000 gpus, cpus and memory in order to scale Gemini thats another $30 billion+ revenue booked on spaceX's balance sheet bringing the total to $85 billion across anthrop

@cryptopunk72132026年6月

As LLMs become commoditized, the real value shifts entirely to the input. Models like GPT, Claude, Grok and Gemini are powerful, but they are only as good as the context you provide. https://t.co/XD2sXckrPC

@unstoppableweb2026年6月

Main focuses for this week were testing out some of the new video models for mission verification. Goal is to get is as cheap as possible while making sure the accuracy of the model can properly detect a variety of tasks, which isn't an easy problem to fix. We've landed on the latest Gemini Flash mo

@katch_live2026年6月

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@cameron2026年6月

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@cameron2026年6月