ḑ̸̨̛̺̣͈͖̦̭̽̄̈́̌̚͝ḙ̷̢̧̛ I 'm trying to get out of this virtual reality. am looking for the source code to crack reality 👁️🗨️ ḑ̸̨̛̺̣͈͖̦̭
OMEGA POINT 🌌
Joined November 2015
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$Dot
I've rarely come across a project this complete with such a low market cap.
At a $1.3M market cap, I think the upside is massively underestimated.
Do your own research.
@usedotai
We spent $40,000 on infrastructure, and have now trained our own model.
Dot Loom Conductor v0.1 is live: our first trained orchestration model for multi-modular AI systems.
DLC is a 14B control model that decides how much inference a request receives, which models participate, and what each model is allowed to see.
Training our first model fundamentally changes what Dot is capable of becoming. Instead of relying exclusively on frontier providers, we can now build intelligence purpose-designed for our own infrastructure.
Every future optimisation, routing decision, orchestration policy, and verification strategy can itself become learned, creating a system that improves with every deployment rather than remaining statically engineered.
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
Our team has been busy fully implementing the graph structure into the plugin. Previously, this has only been used internally by our team in frameworks testing. The plugin is being upgraded and hardened in a major way before we begin releasing new things.
Here is a previous benchmark ran by the testers at agent-bench.xyz comparing an older version of Sibyl Memory vs Honcho.
A running theme you will notice with our tools is a drastic reduction in token spend by users who follow our teachings and use our products together.
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
the time has come.
base:0x23a2847d772803f9efc64b4277b782b06296fe51 @usedotai
Our weekly inference usage has surged 38.86% in just seven days.
Between October 12–18 and October 19–25, we recorded a substantial acceleration in inference demand across our infrastructure.
- 5.86 billion tokens processed, up from 4.22 billion
- +1.64 billion additional tokens processed week-on-week
- +38.86% growth in total inference usage
- 837 million average daily tokens, up from 603 million
- 25.1 billion tokens in projected 30-day usage, based on our latest weekly run rate
This acceleration is being driven in part by our latest enterprise deployments, which are bringing increasingly substantial workloads onto Dot's inference infrastructure, alongside significant demand for Dot Motion following its recent launch.
Together, these developments are expanding our inference footprint across both enterprise and consumer applications, demonstrating the growing demand for private, cost-efficient AI infrastructure as we continue to diversify the workloads and revenue opportunities supported by Dot.
Monitor our usage in real-time at: app.usedot.xyz/usage
I have no doubt that with everything @stagedhappen has built and accomplished, we're going to see a god candle on base:0x23A2847d772803f9EFC64B4277b782b06296FE51 in the coming months
And when it happens, a lot of people are going to get Dotlined
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
$BROW is a no-brainer. coded for millions. These are not your average objectives. The scale of what is being built will put @eyebrowCC in a different category.
Anyone not seeing the security breaches increasing and the topic around AI agents heating up is fully blind.
Ape wen we are in millions, fine by me too hehe.
Researchers at Bloom Security counted how many packages AI agents install on their own. On an average machine it’s about 70 a month. On a developer’s laptop it’s closer to 350.
Most of those never get looked at by a person. The agent decides it needs something, pulls it in, and keeps going.
Bloom also found a way to take over more than 1,500 npm packages without stealing anyone’s password. That hole is fixed now, but picture the next one landing on a machine where an agent installs a dozen things a day. AI agentic security is at in its infancy and we are noticing this. Some say eyebrow is very very early, we agree.
Their advice was to check more than packages: MCP servers and skills too.
That’s the job eyebrow was literally built for. Know what your agents run. And we are continuing.
We started working on our new product, our hub, as scheduled according to our roadmap. Seeing all the recent security breaches, the relevance of what we are building is much and much higher than we expected. So we will push harder!
We will be sharing more information on the hub, its magnitude and the huge flywheel impact for $BROW.
The last 3 months were a gentle warm-up. The real work is being shipped now!
$BROW out. #EYEBROW #BLOOMSECURITY #AI #AIAGENTS
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
Read carefully.
base:0x797f214a2cd64a4963a91fa21c8c55ec3eba4714
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
The next billion dollar AI company might be hiding in plain sight 👇🏻
base:0x23a2847d772803f9efc64b4277b782b06296fe51 @usedotai 🔴
medium.com/@thelawofmoneymag…
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
$BROW is sending! Told you about it alot of times. 250k MC right now
Millions are loading! Why?
This is what they have done so far in this short period.
• expaning there ai agent team right now!
•They found security weaknesses in $VVV ($1B+ project),also the #1 GitHub AI agent for email (12k stars) and in @prismassets, amongst others.
• First mover on @RobinhoodApp for AI agent security.️
• Almost 3 months of continuous shipping.
• 3 Products live already, 3 products are in development.
• Partnerships with @sibyl_labs_ and other AI agentic projects.
• Locked 7.4% of total supply (74M $BROW) locked
• Over 7M $BROW burned permanently.
• No paid KOLs, all organic growth.
• Already revenue generating, per end of September 2026.
@eyebrowCC
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
There is increasing concern amongst engineers that AI is going to pose significant security risks to us as they continue to accelerate in development.
These risks are only amplified, if a user decides to provide the context of their entire life to these models, labs, and agents.
Dot is no longer optional, if security remains a priority.
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
Smart money is incoming.
People starting to notice $BROW.
Sleep on this and see you in the millions🫡
CA
0x2142d4816E259fd7C119f61c772e39AE0CdAAFde
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
When I first aped base:0x23a2847d772803f9efc64b4277b782b06296fe51 around $200K mcap, I thought I’d found a decent quick flip.
The team seemed honest, worked hard, and actually shipped. 1M in that amrket condition made me feel comfortable with this trade.
Then came Supercharged, public access, and DOT payments tied to inference burns.
I held.
→ My target became $3M.
Then Stage announced dedicated capacity for 8 NVIDIA H100s at $20K/month to power DotCode. Serious infrastructure behind a private coding agent.
I held.
→ My target became $5M.
DotCode went live. Then came the ROBA enterprise partnership, bringing Dot’s inference into robotics workflows.
I held.
→ My target became $10M.
They kept going: DBrowser, Loom, Reflex, Agent Chat, Jev. What started as a private chat platform kept expanding into something much bigger.
I held.
→ My target became $15M.
Then staking and the IRM. Desktop agents operating real software. Another infrastructure commitment, bringing the team’s announced total above $160K, with B300 GPUs powering more inference.
At some point, I stopped looking at this as a quick flip.
My target is now $50–100M.
And honestly, who knows what @stagedhappen and @usedotai will build before we get there?
They might give me enough reasons to move it to $500M or beyond.
Every time I thought I understood the scale of their ambition, they shipped something that made me look again.
That’s how a short-term trade became a long-term conviction.
Study conviction. 🔴
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
It's time for base:0x23a2847d772803f9efc64b4277b782b06296fe51 to break ATH again.
Looking forward to the release of Dot Motion 🤝
Market's being increasingly selective in terms of which alts it'll allow to run to the promise land.
base:0x23a2847d772803f9efc64b4277b782b06296fe51 is going to be next to have a MASSIVE run.
Observe what happens at all flips of resistance into support.
Consolidate for a little bit here, then expansion to new highs 🔜🔴
- Studious
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
Team billing for businesses going live tomorrow.
Shared memory for Claude & ChatGPT mobile coming soon after.
Big shipper
Why Sibyl Memory Pro?🧠
Thousands of user hours. Proven effectiveness.
Self-Learning: True experiential growth and emergent behaviors come from teaching an agent things it does not already know. With Sibyl, you can build agents that learn the unique parts of your work, so you save money on all future work.
Private by Default: Your memories, your device, your decisions. Sibyl Labs never obtains your personal data other than what is necessary for billing and analytics.
Auto-Debloat: Automatically enforced environment hygiene that cleans up your environment, reduces active tokens in context, and compounds your savings over time.
Learn more: sibyllabs.org
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
Why Sibyl Memory Pro?🧠
Thousands of user hours. Proven effectiveness.
Self-Learning: True experiential growth and emergent behaviors come from teaching an agent things it does not already know. With Sibyl, you can build agents that learn the unique parts of your work, so you save money on all future work.
Private by Default: Your memories, your device, your decisions. Sibyl Labs never obtains your personal data other than what is necessary for billing and analytics.
Auto-Debloat: Automatically enforced environment hygiene that cleans up your environment, reduces active tokens in context, and compounds your savings over time.
Learn more: sibyllabs.org
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
i hope you’re taking the opportunity with $sibyl
time is running out to be this early
Why Sibyl Memory Pro?🧠
Thousands of user hours. Proven effectiveness.
Self-Learning: True experiential growth and emergent behaviors come from teaching an agent things it does not already know. With Sibyl, you can build agents that learn the unique parts of your work, so you save money on all future work.
Private by Default: Your memories, your device, your decisions. Sibyl Labs never obtains your personal data other than what is necessary for billing and analytics.
Auto-Debloat: Automatically enforced environment hygiene that cleans up your environment, reduces active tokens in context, and compounds your savings over time.
Learn more: sibyllabs.org
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
Everyone watches the score
Few witness the becoming
Champions stay obsessed with the process
The future takes shape long before it takes the stage
The work continues long after the crowd goes home
Jobs not finished
@usedotai base:0x23a2847d772803f9efc64b4277b782b06296fe51
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
The Sibyl Memory product now is officially live and available for purchase.
Let us (or me) know in case you want to move to superior agentic memory.
Why Sibyl Memory Pro?🧠
Thousands of user hours. Proven effectiveness.
Self-Learning: True experiential growth and emergent behaviors come from teaching an agent things it does not already know. With Sibyl, you can build agents that learn the unique parts of your work, so you save money on all future work.
Private by Default: Your memories, your device, your decisions. Sibyl Labs never obtains your personal data other than what is necessary for billing and analytics.
Auto-Debloat: Automatically enforced environment hygiene that cleans up your environment, reduces active tokens in context, and compounds your savings over time.
Learn more: sibyllabs.org
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
$brow new roadmap coming!
trust the process!
nice reaction on the chart!
coming back and above!
HM
Working on a major upgrade of our roadmap.
Our security layer has many use cases and we just touched the surface so far. eyebrow keeps evolving and is thinking bigger and bigger. This will make sense soon.
We are brewing $BROW
The_Echo_NoMist (𓄇𓆃)(𓂀) ( Ω ) retweeted
Much… MUCH HIGHER…
Dot Loom has reached 170 GitHub stars, a huge testament to our effort at ensuring open-source infrastructure makes AI inference smarter, not just bigger.
Dot Loom is a provider-pluggable orchestration runtime that dynamically adapts inference depth to the task. It can answer directly when one model is enough, or escalate to specialized reviewers and verifiers when the task demands more scrutiny.
It's objective is to achieve the right balance between quality, cost and latency, with transparent execution traces and reproducible evaluations.
Explore Dot Loom today at: github.com/usedotai/dot-loom
