Get live statistics and analysis of tammy's profile on X / Twitter

web3 protocol researcher | exploring agentic economy DeFAI

107 following315 followers

The Analyst

Tammy is a deep-dive researcher of the Web3 world, meticulously exploring the crossroads of decentralized finance and AI integration. With a passion for understanding complex protocols, she shares detailed insights on blockchain decentralization and security. Always eager to learn and experiment, Tammy isn't afraid to tackle big challenges, even when the tech is new to her.

Impressions
11.5k2.9k
$2.15
Likes
52-22
78%
Retweets
1-1
1%
Replies
5-2
7%
Bookmarks
9-9
13%

Tammy’s like that friend who brings a 100-page book to a coffee chat — great for the nerds, but sometimes we just want a giggle or a gif. Maybe toss us a meme between the dissertations?

Her biggest win is confidently open-sourcing her cutting-edge research on resource-constrained blockchain nodes and AI in DeFi, democratizing knowledge with a transparent and collaborative spirit despite early career hurdles.

Her life purpose revolves around democratizing blockchain technology by making it accessible and decentralized at scale, while pioneering AI-powered innovations that enhance Web3 security and intelligence.

Tammy believes in empowerment through knowledge and decentralization, valuing transparency, meticulous research, and technological progress that serves a broad community rather than centralized elites. She holds a strong conviction in the power of open-source collaboration and continuous learning.

Her greatest strengths lie in her analytical rigor, dedication to thorough research, and her ability to synthesize complex blockchain and AI topics into engaging, actionable perspectives.

She can sometimes get lost in the details or overcommit to ambitious projects like AI tool building despite limited hands-on expertise, which might slow momentum or confuse followers without clear progress updates.

To grow her audience on X, Tammy should keep simplifying heavy topics into actionable threads or visuals, engage more with trending Web3 debates, and consider occasional lightweight content such as polls or quick tips to balance her deep dives.

Fun fact: Tammy is undeterred by setbacks, openly sharing her rejection from a16z research internship as a stepping stone rather than a barrier, showing her determination to contribute valuable insights regardless of recognition.

Top tweets of tammy

Task for this week is to finish reading these reports. @spearbit & @cantinaxyz reports are very detailed, which helps to gain insights. PS: it's 100 + pages.

3k

Got rejected from a16z research internship open-sourcing my research statement instead. Statement 1 :Ā Enabling Blockchain Node Operation on Resource-Constrained IoT Devices >Ā The Core Problem: The Centralizing Force of High-Power Hardware Running a full node or participating in mining (like Proof-of-Work) often demands high-performance computing and significant power consumption. This creates a high barrier to entry, concentrates power in the hands of "high-power miners" and large staking pools. >Ā Proposed Research & Vision: Decentralization to the Edge This research seeks to fundamentally challenge this paradigm by investigating the feasibility of running a blockchain node on ubiquitous, low-cost, and low-power micro-controllers, such as the ESP32. The central vision is to push network participation to the "edge," enabling a new level of decentralization. If successful, this could open up opportunities for billions of devices, including standard mobile phones, to act as first-class citizens of the network, validating transactions and contributing to consensus. Long term benefits include : >Ā Massive Decentralization & Reliability > Increased accessibility Statement 2 :Ā Advancing Decentralized Finance (DeFi) with Specialized, Lightweight AI I truly agree with whatĀ @balajis said " Blockchain can become the data layer for AI". MassiveĀ amount ofĀ dataĀ is being emitted across multiple chains everyĀ secondĀ if it's utilized there's a lot of scope to build intelligent products. > The Core Problem: The High Cost of "Hallucinations" in DeFi The integration of Artificial Intelligence with Decentralized Finance (DeFi) presents a transformative opportunity. However, it also introduces a critical, high-stakes challenge. General-purpose Large Language Models (LLMs) are prone to "hallucinations"—generating plausible but factually incorrect or nonsensical outputs. Agentic trading platforms are getting popular but no one is specifically building or training a model for DeFi & web3 applications. This leaves a huge scope for building intelligence models which are tuned to perform specific tasks. Often timesĀ fine tuning SLMs turns out to be far more powerful than training a LLM, as the scope is low and it can be tuned with considerably small sets of data. And it's cost efficient.Ā  > Proposed Research & Vision : Potential application of AI inĀ  DeFi -Ā Intelligent MonitoringĀ & Security - Robust Agentic TradingĀ  -Ā AI-Enabled Network Analysis & Forensics

1k

this is my idea for @_buildspace @_nightsweekends s5! building a ai integrated tool which detects gas optimization findings for smart contracts! do i have any idea about building tools integrated w ai? NO but, we can TRY. CC: @FarzaTV

168

While going through lesson 6 of @CyfrinUpdraft Smart contract and security course, found this info on upgradable smart contracts by @PatrickAlphaC really interesting!

73

Most engaged tweets of tammy

this is my idea for @_buildspace @_nightsweekends s5! building a ai integrated tool which detects gas optimization findings for smart contracts! do i have any idea about building tools integrated w ai? NO but, we can TRY. CC: @FarzaTV

168

Task for this week is to finish reading these reports. @spearbit & @cantinaxyz reports are very detailed, which helps to gain insights. PS: it's 100 + pages.

3k

Got rejected from a16z research internship open-sourcing my research statement instead. Statement 1 :Ā Enabling Blockchain Node Operation on Resource-Constrained IoT Devices >Ā The Core Problem: The Centralizing Force of High-Power Hardware Running a full node or participating in mining (like Proof-of-Work) often demands high-performance computing and significant power consumption. This creates a high barrier to entry, concentrates power in the hands of "high-power miners" and large staking pools. >Ā Proposed Research & Vision: Decentralization to the Edge This research seeks to fundamentally challenge this paradigm by investigating the feasibility of running a blockchain node on ubiquitous, low-cost, and low-power micro-controllers, such as the ESP32. The central vision is to push network participation to the "edge," enabling a new level of decentralization. If successful, this could open up opportunities for billions of devices, including standard mobile phones, to act as first-class citizens of the network, validating transactions and contributing to consensus. Long term benefits include : >Ā Massive Decentralization & Reliability > Increased accessibility Statement 2 :Ā Advancing Decentralized Finance (DeFi) with Specialized, Lightweight AI I truly agree with whatĀ @balajis said " Blockchain can become the data layer for AI". MassiveĀ amount ofĀ dataĀ is being emitted across multiple chains everyĀ secondĀ if it's utilized there's a lot of scope to build intelligent products. > The Core Problem: The High Cost of "Hallucinations" in DeFi The integration of Artificial Intelligence with Decentralized Finance (DeFi) presents a transformative opportunity. However, it also introduces a critical, high-stakes challenge. General-purpose Large Language Models (LLMs) are prone to "hallucinations"—generating plausible but factually incorrect or nonsensical outputs. Agentic trading platforms are getting popular but no one is specifically building or training a model for DeFi & web3 applications. This leaves a huge scope for building intelligence models which are tuned to perform specific tasks. Often timesĀ fine tuning SLMs turns out to be far more powerful than training a LLM, as the scope is low and it can be tuned with considerably small sets of data. And it's cost efficient.Ā  > Proposed Research & Vision : Potential application of AI inĀ  DeFi -Ā Intelligent MonitoringĀ & Security - Robust Agentic TradingĀ  -Ā AI-Enabled Network Analysis & Forensics

1k

While going through lesson 6 of @CyfrinUpdraft Smart contract and security course, found this info on upgradable smart contracts by @PatrickAlphaC really interesting!

73

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