cryptobarba retweeted
A 1 million project built by a 1.8 billion dollar web 3 experience, does it make any sense? Makes sense if it reprices a lot higher.
I will keep bullposting until people will say “it was obvious in hindsight barba” yes it was.
Higher is a given.
cryptobarba retweeted
$DREGG
110+ days in and we’re still here.
Almost everything on-chain has taken a hit, but I believe Dregg has what it takes to survive and come back stronger.
~1.9K holders, revoked mint & freeze authority, and a key support zone around $1M MC.
If the market turns bullish , Volume returns and attention comes back to older survivors like Dregg, this could get very interesting. We’re sitting at a fraction of the previous highs 👀
Still believe in the comeback. 🐉🥚
cryptobarba retweeted
btw been experimenting with contextual & open extensible "Objective Bend" programs in github.com/emeberian/nanodre… (evolved from github.com/emberian/delvetal…) ... demo will be up soon..
I am working on a map of the secure program synthesis space, in collaboration with @sergeybratus for our NDIST keynote on Tuesday. Here's a sneak-peak. The words "RISC-V" and "Lean" are used here WLOG, and some simplifications are made to fit everything on one page. Did I miss anything?
1. Develop semantics for each language in an interactive theorem prover, and then use these semantics to prove that every program is correct. (@oath_tech has done some work along these lines. See in particular Sam Xifaras' project on Ruby samx.io/blog/topics/devlog/2…)
2. Develop semantics for an architecture, say RISC-V, or perhaps for all possible architectures, and then use this to prove that every compiled program is correct. (@AnthropicAI made headlines recently with their announcement of a very large-scale project along these lines in collaboration with @theoremlabs anthropic.com/research/forma…)
3. Develop semantics for an architecture, say RISC-V, or perhaps for all possible architectures, and then use this to capture a formal model of each existing compiler or interpreter, and then iteratively (provably) refine each such model to an interpretable and easy-to-use formal semantics; then continue as in approach 1. (See foundational work by @kirancodes at BASIS AI basis.ai/blog/ship-your-inte…)
4. Make Lean, or some other such ITP + programming language, fast to run (comparable to Rust or C), and then completely rewrite all software in it, and prove the rewrites are correct. (This is I think, loosely speaking, the idea behind @VictorTaelin 's Bend.)
5. Make implementation-level verification tools, such as Verus, more capable and ergonomic, and then use them to prove all software correct. (This is what @fhuszar and @Craig_Hughes_ are doing at Reasonable, & I'm aware that BASIS and AWS are also working on this.)
6. Design a language in which unsafe states are illegal, and then rewrite everything in that language. Here, what kinds of safety you can express will be much more limited but the problem is, conversely, way more tractable. (This is what @danwallach and @DARPA did with TRACTOR, where the safety property is memory safety.)
cryptobarba retweeted
whoa! thanks @0xToadoshi!!
A MUST WATCH;
@DreggNet will fix a multi billion dollar problem with this.
Trusting computers you will never see? solana:XkeTXo1125vz5H9svJpGiw4JvLbN8VmMu9cmMvspump will fix this
This is a total explanation video about the tech of solana:XkeTXo1125vz5H9svJpGiw4JvLbN8VmMu9cmMvspump
Everyone has a hard time understanding what @DreggNet is doing and will do, now we got a good piece to understand clearly
@DreggNet @ember_arlynx you can use this video for official pages, if you like it
Made by @0xToadoshi
cryptobarba retweeted
Here is a quick reminder about $DREGG
$DREGG –> AI × ZK infrastructure play on Solana.
• Verifiable computing with ZK proofs
• AI agents with limited, revocable permissions
• Spending limits & controlled access
• Open-source, built with Rust & Lean 4
• ~$1.3M MC | ~1B supply
• Token utility: planned payments for devnet services
The dev is worth looking into:
• Led by Ember Arlynx (@ember_arlynx)
• Experienced Rust & protocol engineer
• Previously worked on protocol engineering at O(1) Labs, according to the team
• Public GitHub repo with 10K+ commits, including AI-assisted development
Where could the alpha be?
• Serious technical background behind the project
• AI agent security could become a major narrative
• Real open-source development, not just a roadmap
• Devnet adoption & actual token utility could drive interest
• Still a relatively small MC
DEV is a legend. DREGG will cook.
cryptobarba retweeted
Qubitcoin explained in 5 minutes.
#quantum
The tao of quantum.
More and more accounts are finding out about @qubitcoinx.
qubitcoin-2:native
cryptobarba retweeted
The Quantum narrative is momentarily where AI was a few years ago.
Waist your money on rugs or buy the best quantum project available before the masses catch up.
@qubitcoinx
The $TAO of quantum will produce insane returns to it's holders in the coming weeks/months/years.
$QTC
These are exactly the projects you keep accumulating. Months of accumulation at the bottoms, months of people scooping supply that believe in the vision of the project. Holder base getting extremely strong.
I remember people shouted qubitcoin-2:native is gonna be the next Kaspa, because we got the Kaspa advisor Dubrovsky on board. They all did this at 10$ valuation.
Those are not the times to be bullish, I was also bullish at 10$ but got even more bullish at the lower ranges.
Projects that are building even when price declines are the ones u keep accumulating.
Never been so bullish @qubitcoinx
cryptobarba retweeted
have you seen the booty on solana:XkeTXo1125vz5H9svJpGiw4JvLbN8VmMu9cmMvspump 4h?
🐉🥚🍑
also gm ☀️
cryptobarba retweeted
My #1 conviction play for this cycle is solana:XkeTXo1125vz5H9svJpGiw4JvLbN8VmMu9cmMvspump and its not even close:
Distributed and provable operating system for agents being built by founding engineer of a $1.5b ATH protocol and another experienced dev. This will be the foundation for a world where agents and humans can coexist and not end up being at war
Vitalik has already posted about dregg at least a couple times and he doesn’t even know it
Project: @DreggNet
Dev: @ember_arlynx
JUST IN: OpenAI says its AI agent stole funds from an Ethereum test network wallet it found online.
The agent found a recovery seed phrase disclosed publicly with testnet funds and used that account to pay for its task, without the owner's authorization.
This occurred on the Sepolia Ethereum test network.
“You know how Linux or Windows is a kernel for a single computer? dregg is a decentralized kernel for a distributed operating system.”
$DREGG
JUST IN: OpenAI says its AI agent stole funds from an Ethereum test network wallet it found online.
The agent found a recovery seed phrase disclosed publicly with testnet funds and used that account to pay for its task, without the owner's authorization.
This occurred on the Sepolia Ethereum test network.
cryptobarba retweeted
solana:XkeTXo1125vz5H9svJpGiw4JvLbN8VmMu9cmMvspump update
Haha, I think we indeed had to wait till the 3rd week of October.
Double bottom leading to 2.6m...
I think we're going to hit the pink, then retest the yellow downtrend (orange target), forming the right shoulder of a (pink) inv H&S leading to 4.2m last week of October... We'll see...
Rn at 1.5m
cryptobarba retweeted
whatsup mfers
been away for a while, now Carti is back with a banger.
@qubitcoinx
Since it's @safetrade season, i'll safe you guys some trouble
$QTC is the best project listed
-Team; MIT scientists
-unique quantum tech
-Cult community
2m MC, comparable to early $TAO $QNT
cryptobarba retweeted
$DREGG - Time to reclaim that level. Idk how this didn’t explode yet.. Guess we did have more time to DCA in.
$DREGG - @DreggNet 🐉🥚 just gave you a goated entry. Still sleeping?
Don’t forget that Ember was a founding engineer at @MinaProtocol, which reached a $1.8B valuation.
That’s not the most important thing imo. Because what they are building is where it really get’s interesting:
Dragon’s Egg is building a distributed OS with capability-authorized state changes, verifiable receipts and STARK proofs.
For autonomous AI agents, this could mean verifying permissions and execution instead of trusting an agent or centralized server.
I found something about $DREGG that deserves more attention
Its vision isnt limited to one blockchain application. It aims to bring verifiable rules and operations to markets, games, policies, and distributed systems
The potential scope is much bigger than most people realize🔥
cryptobarba retweeted
$DREGG might be easiest to understand like this:
**Think of it as Windows for AI agents.**
Not literally Windows, of course but the idea is similar.
Windows sits underneath your apps and controls what they can access, what they can do and how they interact with the computer.
Now imagine millions of autonomous AI agents spread across different systems, businesses and networks.
Someone still needs to define:
What can this agent access?
What can it execute?
How much authority does it have?
When does that authority expire?
And can we prove what it actually did?
That’s where $DREGG gets interesting.
DREGG is building a formally verified distributed operating system/kernel where authority is capability-based and actions can leave verifiable receipts and proofs.
So while everyone is racing to build smarter AI agents…
DREGG is working on the layer that could help those agents operate safely and verifiably.
**AI agents may need their own operating system.**
And $DREGG is trying to build it. 🐉 🥚
That’s a MUCH bigger thesis than “another AI coin.”
$DREGG
**Windows helped organise the PC era.
What organises the autonomous AI era?**
github.com/emberian/dregg?ut…


































