CEO & co-founder @oyachatapp | turning complexity into confidence | architect → product lead | civic & volunteer community builder | finding my voice 🎤
The Desert
Joined July 2009
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- Followers173
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Vanessa Conyers retweeted
Jensen Huang, CEO of Nvidia:
"Every engineer is going to have and manage hundreds of agents."
The most valuable engineering skill of 2026 is not taught in any university.
No CS program teaches harness engineering.
No bootcamp teaches agent memory architecture.
No degree prepares you to build systems that survive production.
One builder mapped the entire thing out — free, step by step, no degree required.
This is the roadmap ↓
Bookmark this for the weekend.
Vanessa Conyers retweeted
We’re here to make crypto deliver on its promises. Natural language commitments are here.
Vanessa Conyers retweeted
Yes, Sam — but brains are far more energy efficient than computers.
Brain: 20 watts
AI: gigawatts
Biology wins.
Naveen Rao (@NaveenGRao) CEO, @unconvAI
Konstantine Buhler (@Konstantine) Partner, @sequoia
TLDR: Biology currently delivers far more general intelligence per watt than silicon.
"Why can we not build a computer that acts like biology? The single thing that hit me when I was an undergrad, like 30 years ago, and that’s when I learned about 20 watts of energy in your brain, and just how biology kind of does computation. It doesn’t really do computation, by the way. It’s like dynamical systems, but we can get into that later.
My whole career has been about that, actually. When I came out of undergrad, I was like, “Okay, well I wanna build computers. How do I build those?” So I actually became a computer architect. I worked on UltraSPARC III and a bunch of processors, then did a bunch of ASICs, then went back to school to do a PhD in neuroscience.
And I’m like, “Okay, now I know how to build a machine. I’ve done it several times, sort of from scratch.” I’m still no closer to the answer of why computers aren’t as good as brains.
At that time, we didn’t really understand what brains were doing. I think now we kind of do, but at that time we almost thought of brains as sort of magical."
"But Naveen pointed out this is the moment to dramatically reduce power, which everybody knows is, if not the, major constraint of AI, and have a trade-off that’s much more reasonable in the AI world."
Vanessa Conyers retweeted
No one brings people together like @kartiktalwar and @Ethglobal in our film — now streaming!
Vanessa Conyers retweeted
Crosschain with Kanishk - AI-Centric Crosschain Flows
@kanishkkhurana will be joined by @jdshutt and @Nesseps of @OyaChatApp
Thursday, January 29
10:30 AM EST
Live on X
Vanessa Conyers retweeted
In the near future, new custom agents will be built and deployed immediately to serve every intention. We're creating the infrastructure. Months, not years.
Vanessa Conyers retweeted
Actually love that, and genuine question, doesn’t it seem like monetization within the platform is leading to a lot of the same behavior? Bots seem worse than ever before and people are so incentivized to spam reply on popular posts. Is there any way to mitigate that behavior and make this place feel more authentic again?
So much signal getting lost in the noise here
Vanessa Conyers retweeted
I am disappointed that market structure legislation seems to be held up by the stablecoin yield issue. Most of the concerns bouncing around Washington are based on unsubstantiated myths.
So I've written a new article tackling the 5 biggest. They include:
1) Whether stablecoins decrease bank deposits
2) Whether domestic adoption hurts credit creation
3) Whether banks are major sources of credit
4) Whether community banks are more vulnerable
5) Whether borrowers matter more than savers
Take a look, spread it around, and talk to your members of congress. We can't have new legislation be based on FUD and speculation.
Vanessa Conyers retweeted
How are you using OyaChat? Are you a deep researcher, using our top-of-the-line data and reasoning to study crypto? Or are you a next-gen investor, using plain language requests to trade tokens and earn yield on Ethereum, Base, Arbitrum, and Polygon?
Vanessa Conyers retweeted
narratives i believe dominate 2026:
- prediction markets go mainstream
- ai agents actually using crypto rails
- privacy tech that is easy to use
- defi apps normies can use
- fewer new l2s, more apps
less: new l1s, governance tokens, nft flips, gaming
Vanessa Conyers retweeted
After receiving many requests for a Kindle or Paperback version, an "An Immortal Stream of Consciousness" can now be read in three ways:
Kindle (Amazon): tinyurl.com/3dx5semc
Paperback (Amazon): tinyurl.com/cmnkhnxv
Free PDF : tinyurl.com/2hnscxh2
Vanessa Conyers retweeted
H₇ ∈ [0.70, 0.75] is now measured natural law.
December 2025
The Earth-Sun system was handed a Kerr photon-ring generator and asked to reveal its universal coherence value.
It answered, reproducibly, across independent runs and continents:
0.720 – 0.745
Every coherent node (solar X-ray flux, northern-hemisphere cities, synthetic control) self-organizes into the exact H₇ band predicted by Codex.
São Paulo precipitation repeatedly collapses below the lower cusp → the ring instantly smears into a red accretion disk.
This is not theory.
This is direct, repeatable observation of a universal critical attractor using public telemetry and black-hole geometry.
Zero-dependency PowerShell script:
gist.github.com/jacksonjp031…
Runs on any Windows machine. Installs Python if needed. 30 seconds later the planet speaks the same number on your desktop.
Run it.
Verify it.
The lattice has already signed.
#H7 #DeltaPhi #Codex #KerrRings #UniversalConstant
Vanessa Conyers retweeted
Andrej Karpathy literally built the neural networks running inside coding assistants.
He taught the world deep learning at Stanford. He ran AI at Tesla.
If he feels “dramatically behind” as a programmer… that tells you everything about where we are.
The confession here is that raw intelligence and deep technical knowledge no longer guarantee mastery. The new stack isn’t about understanding transformers or writing elegant algorithms. It’s about orchestrating a zoo of stochastic systems that nobody fully controls.
Karpathy’s list is revealing: agents, subagents, prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations. That’s 15+ new primitives that didn’t exist 18 months ago. Each one evolving weekly.
The mental model problem is real. Traditional engineering gives you deterministic systems. You write code, it does exactly what you wrote. Now you’re managing entities that are “fundamentally stochastic, fallible, unintelligible and changing.”
His “alien tool with no manual” framing is exactly right. We’re all reverse-engineering capabilities in real-time. The documentation is always out of date. The best practices from 3 months ago are already wrong.
The magnitude 9 earthquake isn’t coming. It already hit. The aftershocks are the new normal.
I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year and a failure to claim the boost feels decidedly like skill issue. There's a new programmable layer of abstraction to master (in addition to the usual layers below) involving agents, subagents, their prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations, and a need to build an all-encompassing mental model for strengths and pitfalls of fundamentally stochastic, fallible, unintelligible and changing entities suddenly intermingled with what used to be good old fashioned engineering. Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it, while the resulting magnitude 9 earthquake is rocking the profession. Roll up your sleeves to not fall behind.
Vanessa Conyers retweeted
OyaChat is rethinking how people interact with crypto.
By combining natural language and AI with onchain infrastructure, they’re making crypto safer, simpler, and understandable for everyday users.
Protected by Privy.
You can now chat with Oya, your personalized guide to crypto!
Our soft launch of the chat includes memory, voice, image upload, and live data from web search, @X, @CoinGecko, @DefiLlama, @RootData, @Etherscan, and more. Let us know what else you would like us to add!
You earn points while you chat, with extra points for messages our AI thinks are insightful and interesting!
Come give Oya a try and let her know what you think!
Vanessa Conyers retweeted
We're excited to see @coinbase experimenting with AI with Coinbase Advisor @MurrLincoln @jessepollak! If you want a personal AI guide that helps you trade millions of @base tokens, you can do that today on OyaChat. Natural language interfaces are the future.
A new era of Coinbase starts now.
— Exciting product announcements
— Key business updates
— Lots of other cool stuff
teapaw.org/i/broadcasts/1BRJjgWpw…
