Daily TEA – Fintech’s AI Epoch, AML Booms & China’s Power Play
Fintech, AI, Blockchain, AML, Ferrari Token, AI Hardware
Hello, dear TEA-mates—here’s what you need to know today!
1.🏦 Fintech’s Future: AI and Blockchain Steer the Ship
The 2025 “Fintech 100” list from CB Insights spotlights startups radically transforming finance—instead of easy consumer plays, this year’s winners are building foundational systems. AI is automating the nuts and bolts of finance, driving efficiency in everything from compliance reviews to payroll and payments. Blockchain’s next chapter is institutional, as stablecoins, custody, and tokenization integrate into daily business operations. This cohort spans 26 countries, and more than half of the winning startups are located outside the US, illustrating a global push toward embedded, intelligent financial infrastructure. Read More
TEA For Thought: 🫖 fintech is basically the combination of AI and blockchain.
2.💸 AML Spending Set to Reach $75B Globally by 2030
New research from Juniper finds that global spending on anti-money laundering (AML) systems is accelerating—set to hit an astounding $75 billion by 2030. With financial crime regulation tightening across regions, banks and compliance-driven firms are embracing sophisticated, AI-enabled platforms that automate monitoring, detection, and reporting workflows. Major solution providers are scaling up integrations to serve this demand, as regulatory fines and reputational risk drive adoption industrywide. Read More
TEA For Thought: 🫖 AML itself seems to be profitable itself.
3.🧠 AI Debate: Thinking Machines Take on OpenAI’s Scaling Strategy
VentureBeat reports on a growing rift in the AI field: Manila-based startup Thinking Machines is challenging OpenAI’s “bigger-is-better” scaling, arguing that true intelligence requires AI to learn the way humans do—not just train on ever-larger data sets. The debate pits traditional “training” (giant models, massive data) against “life-long learning” approaches, with potential implications for both the education sector and future AI development. Read More
TEA For Thought: 🫖 training vs learning. For humans, I guess that’s also the difference between education and life-long learning.
4.🏎️ Ferrari To Launch Tokenized Auction for Le Mans Car
Ferrari plans to issue a digital token that will allow its top clients to bid on the Le Mans-winning 499P race car via an exclusive auction debuting in 2027. Partnering with fintech firm Conio, Ferrari will launch the Token Ferrari 499P for its “Hyperclub,” a network of 100 elite racing enthusiasts. Token holders will have the ability to trade and participate in VIP auctions, starting with the iconic 499P. Tied to Ferrari’s racing calendar, the initiative follows Ferrari’s recent expansions in crypto payments—accepting BTC, ETH, and USDC for car purchases since 2023, with instant fiat conversion for dealers. Conio is pursuing EU regulatory licensing and hails the project as a milestone in luxury asset tokenization. Read More
TEA For Thought: 🫖 kindly of like. NFT. maybe semi-fungible tokens for sure.
5.🧊 China’s “Mini Fridge” AI Server Uses 90% Less Power
China has unveiled a “mini fridge”-sized AI server that uses up to 90% less power than conventional systems, according to the South China Morning Post. Developed with brain-like architecture, this hardware leap promises quiet operation and reduced energy demands, making AI deployment more sustainable. The tech marks a major advance in AI computing infrastructure and may influence the global race for energy-efficient machine learning hardware. Read More
TEA For Thought: 🫖 the hardware in china is literally unbeatable.
Prompt Tip of the Day
The rule: LLMs, like toddlers, don’t process negatives well.
Telling them what NOT to do just spotlights the unwanted behavior. As Lia said, toddlers focus on the “do X” part of “Don’t do X.” LLMs are the same.
Instead, tell them exactly WHAT to do.
TL;DR:
❌“Don’t be verbose.” → ✅ “Answer in 3–5 concise bullets.”
❌ “Don’t invent sources.” → ✅ “Cite only verifiable sources or say insufficient evidence.”
❌ “Don’t mention internal tools.” → ✅ “Refer to tools generically.”
TEAHEE Moment
Stay sharp, stay informed. See you tomorrow!
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