Sabitlenmiş Tweet
JonnyDefAI 👾
1.1K posts
JonnyDefAI 👾
@jonny_defi
DeFi & Infra BD Manager @ Velocity Labs | @v_labs || DeFi & AI are the Opportunities of our Lifetime || Be kind do good things || Opinions are my own
Katılım Mayıs 2020
623 Takip Edilen225 Takipçiler
@KSimback You’re right you can jus do things now - also coming from a “generalist” of sorts 😉
English
Some personal reflections on AI
I started off studying CS at uni, but I was never a good coder
I took a corp finance class my junior year and aced it, I was far better at finance than coding so I switched majors
But I always had an inferiority complex towards people who could really code
I knew they could run circles around me when it came to building anything and I was at their mercy for technical dependencies
So I stuck to my Excel models and PowerPoints as my edge
Then working as a consultant at Goldman I met some real finance quants
Most of them could code AND they knew finance
Once again I felt inferior - I was good at math but these quants could run circles around me
And I’ve carried this most of my career while honing my skills as a generalist operator
The coders and quants can still run circles around me, but I can assemble resources into value and view that as its own valuable skillset
But lately with AI, I’ve felt a bit of relief from this career long inferiority towards coders and quants
With Claude Code I can now actually code and build things, not on par with a career-long dev but enough to close the gap a bit
With Claude and a few tools I can now run quant strategies, not on par with a polymath quant but enough to close the gap a bit
My point is that AI is a great equalizer
It can complement the areas where you’re not innately skilled, and it multiplies your strengths
It can be such a powerful game changer on a personal level - you can just do things!
English
@tether hires a 'Big Four' firm for a full audit of #USDT reserves
Now who woulda thunk that this woulda happened..
I guess when you have $180 BILLION USDT in issuance, it gets to an awkward point where you gota kinda let da people know you got their money...
Let's see what the Big Four "trusted" experts say about their holdings..
Either way it's a net positive for the industry, and could remove some of the risk of that "large white elephant in the room" rearing it's ugly head and completely nuking everything.. and it would literally nuke everything..
holding thumbs ✊
GIF
English
DeFi is shifting from degen APYs to predictable, bond-like returns.
@aave 's Stani & @ethena 's Guy nailed it - but here's what they're really describing:
The need for protocols that serve institutions AND retail simultaneously.
SyntropyX = onchain @BlackRock × Ethena
→ Multi-collateral, multi-strategy
→ Senior/junior tranches
→ Synthetic dollar minted
→ Composable across DeFi
DeFi + TradFi aren't competitors. They're interdependent.
This unifies them. ✊🏾
#DeFi #SyntropyX
English
JonnyDefAI 👾 retweetledi
Thanks to all the highly innovative teams who have reached out
There are so many cool things being built in the prediction markets sector
Feels like early defi summer levels of nerdy financial primitives and I love it
Perps, lending, parlays and some insane wizardry
Grant@Grantblocmates
I have just been sent the first draft of this absolute monster guide I think it is one of the best pieces of research/interactive media I have read I am stunned
English
This makes a lot of sense about AI.
The more we rely on it blindly - the less we actually learn from it
We need to apply ourselves first and use it as an assistant - not as the solution
But..humans are sheep and humans are naturally lazy animals
Only time will tell - probably best to keep your pencil sharp ✏️
Sharp sharp
Ronin@DeRonin_
🚨 The more AI you use now.. the less you're worth later. Chess proved it 30 years ago > In 2005 two random amateurs with laptops beat grandmasters AND supercomputers.. just by combining human thinking with AI. Everyone celebrated. Human + machine = unstoppable. The future of work. The golden era > That era lasted 15 years. By 2026.. adding a human to a chess engine makes it play WORSE. Not better. Worse. The human became the bottleneck. That "human in the loop" thing your company keeps bragging about? Chess already proved it expires > But here's the part that should keep you up tonight. Magnus Carlsen.. the greatest chess player alive.. deliberately uses AI LESS than his competitors > Everyone else memorizes 30 moves deep into machine-generated theory. They show up overprepared. Overoptimized. Over-reliant > Then Magnus plays something unexpected.. and they collapse. Because their preparation was rented. Their understanding was surface level. They knew WHAT to play but never learned WHY. The second the game left the script.. they had nothing > Now look around you. This is happening in every single industry right now. Junior devs shipping code they can't explain. Marketers publishing strategies they can't defend. Founders pitching decks they didn't think through > Everyone is faster.. nobody is smarter. And it shows the moment someone asks a question that isn't in the prompt > The current world champion trained for YEARS without engines. No shortcuts. No automation. He built his thinking from zero.. and that's exactly why he uses AI better than anyone today. Because he actually has something to combine it with. Most people are combining AI with nothing > "Did they write that?" "Did they build that?" "Did ChatGPT solve that?" Nobody can tell anymore. So the question is changing. It's not "what did you produce." It's "can you think in front of me right now.. no tools.. no second monitor.. just you." The people automating everything are training themselves to be dependent on something that gets cheaper every month And when it gets cheap enough.. the company won't need you to operate it anymore Because everything what big companies and models need from you — YOUR UNIQUE KNOWLEDGE Amazon and Meta have already proved it too when fired 50,000+ employees who were taking an active part in their AI learning Just ask a question to yourself: "Who are you without AI? Why do you need if one day AI will not exist anymore?" Stay safe.
English
Meet Ankh.md for Hermes Agent
Ankh.md helps you craft & use multiple Hermes Agents locally on your computer scoped to folders, projects, or specialized use cases.
Each AI Agent gets its own skills, tools, prompt, and other Hermes Agent features using your local file system and a simple pass-through .yaml config file.
Visit Ankh.md for the video tutorial, cinematic trailer in 2K quality, features, and to try it out. Link in the reply.
100% Free, MIT License, Open Source
@NousResearch Hackathon Entry
English
The Hermes Agent Hackathon Starts Now
Show us what Hermes Agent can do: build something unique, creative, and useful.
1st: $7,500
2nd: $2,000
3rd: $500
To enter, make a tweet tagging @NousResearch with a video demo and a brief writeup, then send the tweet link to the submissions channel in our Discord.
Entries will be judged by Nous staff on creativity, usefulness, and presentation.
Submissions are due EOD Sunday 03/16.
English
@MilkRoadAI This is amazing - and really is a game changer.
Let’s just hope that it’s not JUST a game changer for the medical industries profits - but is made accessible to all at a fair price.
English
The most expensive test in cancer care costs thousands of dollars per patient and takes days to complete.
Doctors use it to figure out who survives immunotherapy.
Most hospitals on Earth cannot afford it and that test reveals what lives inside your tumor not just cells, but the entire immune battlefield surrounding them.
Until now, that battlefield was invisible to most of the world's doctors.
Here is what just happened.
Microsoft Research, working with Providence Health and the University of Washington, built an AI called GigaTIME .
It was published in Cell, one of the most prestigious scientific journals alive.
The old process was that you run a specialized lab test called multiplex immunofluorescence.
Days of work and thousands of dollars per sample .
Most developing world hospitals never even attempt it.
However, GigaTIME skips the lab entirely.
It takes the cheap, routine slide that every hospital already produces, the kind that costs $5 to $10 and converts it into the expensive test, virtually, in seconds .
It was not trained on a handful of patients.
Microsoft trained it on 40 million cancer cells across 21 protein channels.
Then they ran it on 14,256 patients across 51 hospitals and over 1,000 clinics .
The result is that nearly 300,000 virtual tumor maps , covering 24 cancer types and 306 subtypes .
This is the largest population scale study of tumor immune environments ever conducted .
From those maps, they found 1,234 statistically significant links between immune activity, biomarkers, and patient survival .
Those connections were previously impossible to discover at this scale .
Why does this matter?
Immunotherapy is not failing and it is being given to the wrong patients.
The drugs work but only when doctors know which patients' immune systems will actually fight back .
GigaTIME does not replace the oncologist.
It gives every doctor on the planet the same data that only elite research hospitals could access before .
A secondary hospital in a developing country now has the same diagnostic intelligence as a top US cancer center .
The model is now free, open source and available on Microsoft Foundry and Hugging Face right now .
Anyone can use it and the implications are not small.
Cancer kills 10 million people a year globally.
The biggest reason is not a lack of drugs, it is a lack of data to know which drug to use .
GigaTIME does not cure cancer.
But it tells you, at massive scale, which immune cells are active, which tumors are hiding from the immune system, and which patients will likely respond to treatment .
That is the missing layer.
Satya Nadella@satyanadella
We’ve trained a multimodal AI model to turn routine pathology slides into spatial proteomics, with the potential to reduce time and cost while expanding access to cancer care.
English
@stacy_muur Fair points - I’m looking at most of this with the good old 80/20 principle
80% automated
20% taste / guidance / strategy / personal touch
English
My take is that AI can automate a ton of repetitive tasks (SMM / “dumb” influencer marketing / performance marketing, etc.), but it will never be able to automate strategy.
Every CMO / marketer who has ever prompted AI to create something knows this.
AI relies on data that exists.
A good marketer finds solutions that don’t yet exist.
We're not the same.
Okara@askOkara
Today we're introducing the world's first AI CMO. Enter your website and it deploys a team of agents to help you get traffic and users. Try it now at okara.ai/cmo
English
8/ We spent years talking about bringing real-world assets on-chain.
Hyperliquid didn't wait for permission. It just... did it.
And the market responded with billions.
The perp-etual motion machine. 😉🛢️
English
7/ Bloomberg called it "a round-the-clock venue for leveraged commodity bets."
Let's be real though:
This is what DeFi taking a "nice big bite" out of TradFi actually looks like.
Pure and simple -> In $5B of daily trading volume.
English
Oil-linked perpetuals on @HyperliquidX topped $1.29B in 24H trading volume.
The domination is clear.
But the real story is "wilder" than the headline.
GOAT Thread 🧵
English
CANCEL your weekend plans.
You NEED to:
• Learn Claude Code
• Learn Cowork (build 1-2 practical workflows)
• Set up Perplexity Computer/Perplexity Finance
• Optimise Cowork (plug-ins + skills)
• Set up OpenClaw
• Test Google AI products (Nano Banana 2, NotebookLM & more)
• Experiment with basic agentic solutions (Manus)
• Use AI to create a business plan/strategy/context files
• Build an AI second-brain database (Notion)
• Experiment with Notion Agents' *brand new*
• Learn basic automation tools (MCPs, Zapier, n8n)
• Learn prompt engineering - the better you can communicate with AI, the better your Outputs
• Read AI articles
• Dive into robotics
• Research AI stocks/ETFs/investment arbitrages
You have way too much to do...
English