
Co-Founder @swirlDAO β‘ | @permute_finance Tribe member | Exploring Web3 + DeFi/GameFi | Content Creator & Writer βοΈ | DM for collabs
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Joined February 2022
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- Following1.6K
- Followers1.6K
- Likes44.5K
ACEπββοΈ retweeted
Uncensored AI. Running locally. Inside your browser.
In Sigma you can chat with your own local LLM directly in the browser.
The model runs entirely on the user's machine and is fully open-source. No external APIs, no cloud processing - all interactions stay local.
Both censored and uncensored versions are available.
Try it out now
sigmabrowser.com/local-ai-chβ¦
ACEπββοΈ retweeted
Our referral program update is LIVE!
Invite your friends to join Sigma and earn $SIGMA for every successful referral.
We have simplified the whole flow, so it is now faster and easier than ever.
The video below shows exactly how to do it.
P.S. whitepaper release next week ;)
ACEπββοΈ retweeted
πAve.ai PNL Challenge: Show Your Profit & Win Big!
Ave fam β ready to flex your trading skills? Join the Ave.ai PNL Challenge and turn your best calls into real rewards. π°
How to Participate
1οΈβ£ Join the Telegram group
t.me/+sRUeT37k330zN2U1
2οΈβ£ Share your call
Drop the token CA in the group that you believe has strong potential.
3οΈβ£ Generate your PNL proof
Once the token pumps, use @AveTokenFinderBot to generate the PNL image showing the gain multiple.
4οΈβ£ Weekly ranking
At the end of each week, admins will calculate the Top 3 tokens with the highest gains (based on CA posted) over the past 7 days and announce the winners.
π Rewards
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π
The event runs for one month. Winners will be announced on Telegram & X.
Letβs see who has the sharpest calls on-chain. π Drop your CA and show us your PNL! π₯
#Aveai #Crypto #PNLChallenge #Degens
ACEπββοΈ retweeted
The real promise of Web3 goes far beyond tokenizing buzzwords itβs about redefining ownership and giving control back to the community.
Thatβs what makes @dgrid_ai interesting to me.
Built on , itβs creating a decentralized intelligence layer where AI isnβt controlled by a few
ACEπββοΈ retweeted
The internet was built for speed π
Not for permanence
We optimized for reach
For engagement
For scale
But we did not optimize for memory
βββββββββββββββββββββββββββββββββββββ
Permacastapp challenges that imbalance
In Web3, people talk about ownership and sovereignty
Yet much of our media still depends on storage layers that shift, expire, or change policy
When conversations, research, and governance records live permanently, something subtle happens
Communities gain continuity
Narratives gain stability
Decisions gain weight
You cannot quietly edit what has already been anchored Permaweb_DAO
Permanent data turns speech into responsibility
βββββββββββββββββββββββββββββββββββββ
Now look at AI infrastructure
Most models operate behind centralized endpoints
You interact with intelligence
But you do not see the machinery
You trust that outputs are computed fairly
You trust that responses are not filtered beyond your awareness
DGrid AI moves inference into a distributed environment
Multiple nodes compute
Quality gets evaluated
Participation becomes economic
This shifts AI from opaque service to accountable network dgrid_ai
βββββββββββββββββββββββββββββββββββββ
When permanent storage meets verifiable inference, the result is more than technical integration
It is structural alignment
AI generates
Networks verify
Storage preserves
In a world where synthetic media can reshape perception overnight, this combination builds friction where friction is needed
Proof over assumption
Record over revision
Decentralization plus AI is not about chasing trends
It is about designing systems where intelligence leaves a trace and history cannot be erased
If we are serious about building open networks, we cannot separate computation from accountability
The future of Web3 will not depend on louder narratives
It will depend on whether our systems remember
And whether they can prove what they have done
ACEπββοΈ retweeted
When preservation becomes part of the publishing process, the entire ecosystem benefits.
The infrastructure supporting @permacastapp is designed to make that permanence standard, not optional.
ACEπββοΈ retweeted
Replying to @TheDAOLabs
My social mining started with an information from my uncle, he told me how to go about it and taught me almost all I need to know, big thank you to him
My goal : Before I started social mining, ive been wanting to improve my thread writing skills and community management skills, now, I have the platform, and yes, ive been improving, thanks to @TheDAOLabs
The Value: I will really use my thread writing skills to explain Daolabs and affiliate projects to all X users, as for community management, I'd help grow the @DAOLabs_Africa community and keep it active also, helping new beginners to master social Mining
Thank you for this platform once again!
@TheDAOLabs
#SocialMining #DAOVERSE, #Web3Community
ACEπββοΈ retweeted
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ACEπββοΈ retweeted
Replying to @shelbyserves
@shelbyserves
Weβve normalized renting our own dataβ¦ and when you really think about it, thatβs crazy.
Big Tech cloud storage made us comfortable with control we donβt actually have.
Your files exist on their terms, not yours.
They can scan them, restrict them, or remove them silently, all without your permission.
And somehow, that became normal.
Shelby is changing that narrative.
A model where your data is truly yours, not temporarily hosted under someone elseβs rules.
No file scanning.
No hidden restrictions.
No surprise deletions.
No platform deciding what
should or shouldnβt exist.
Just real ownership.
Your data stays live, accessible, and fully under your control, period.
Cloud storage should never feel like permission-based access.
If itβs your data, ownership shouldnβt be negotiable.
Thatβs the future @shelbyserves is building.
@shelbyserves
ACEπββοΈ retweeted
DGrid AI and Permacastapp aren't separate tools. They form the backbone for creators who refuse to rent their future from Big Tech servers or fleeting platforms. I've watched too many builders in emerging markets lose entire archives to one policy change or outage. Permacastapp ends that cycle. Built by PermawebDAO on Arweave, it turns every podcast, article, or audio file into an immutable Permaweb asset. Upload once. It stays addressable, verifiable, and censorship-resistant for decades. No broken links. No sudden deletions. Your work becomes a permanent, on-chain identity that compounds reputation across apps.
Permanence matters because knowledge without durability is just noise. In places like Nigeria, where electricity flickers and platforms shift rules overnight, this infrastructure is survival. Creators finally own the raw material of culture instead of leasing it. Now pair that with DGrid AI. This decentralized inference network routes any query across 120+ LLMs through one simple API. Smart nodes handle the heavy lifting. Every output carries on-chain Proof of Quality verification. Inference costs drop by up to 70% because idle GPUs compete globally, and there are zero middleman fees. You pay supplier prices directly.
What truly sets DGrid apart is the AI Arena. Community members judge model outputs, earn USDT, and shape the network's evolution. Models and agents get tokenized in the open marketplace so builders capture long-term value, not just usage fees. Intelligence stops being a black box rented from California. It becomes a shared, auditable economy. Here's where the real power emerges. Feed Permacast's permanent archives straight into DGrid's verifiable inference. Want an AI agent that analyzes five years of your immutable podcasts for trend insights? The inputs can not vanish.
The computations prove themselves on-chain. The results stay trustworthy because nothing in the loop depends on a single company's goodwill.cThis synergy creates something rare: user-owned intelligence that compounds. Traditional AI extracts value from your data and then locks you out. This stack lets you own both the data layer and the reasoning layer. Small teams in any timezone suddenly run enterprise-grade analysis without begging for GPU credits or fearing account bans.
Key strengths of Permacastapp:
Permanent Arweave storage that outlives platforms AI Media Intelligence Engine for smart tagging, summarization, and distribution On-chain identity that turns content into portable reputation assets
DAO governance that keeps evolution community-led Key strengths of DGrid AI:
Unified API to hundreds of models with intelligent routing 70% lower costs through node competition and direct pricing
AI Arena for transparent quality signals and community rewards Marketplace where agents and models get tokenized for ongoing ownership Builders who integrate early gain an unfair advantage.
Your content never disappears. Your AI outputs stay provable. Costs stay low enough for consistent experimentation. In a world racing toward agent economies, this is the difference between renting tools and owning infrastructure. I have tested similar flows in volatile environments. The peace of mind is measurable. One upload. One API call. Outputs you can actually trust and build upon across cycles.
This is not another hype narrative. It is practical sovereignty for creators who understand that in AI, control equals longevity. Start simple. Upload your next piece to Permacastapp. Run a test query through DGrid. Watch how permanence and verification change what you dare to build next. The stack is live. The edge belongs to those who use it.
DGridAI
Permacastapp
DGrid AI and 0G Labs represent the frontline of decentralized AI, where true innovation escapes Big Tech's grip. From my vantage in Web3's trenches, I've watched centralized models stifle creativity through opaque costs and biased outputs. These projects flip that script, building verifiable, scalable systems that empower builders to own their intelligence because in AI's next wave, control equals survival.
DGrid AI dismantles the inference monopoly with a blockchain network that routes queries across 200+ LLMs through a single API. It's not just convenient; it's revolutionary. Centralized gateways like OpenAI charge premiums while hiding computations, breeding distrust. DGrid's Proof of Quality verifies every output on-chain, letting node operators monetize idle GPUs and slash costs by 70%. Imagine deploying an AI agent for market analysis: instead of paying a black-box fee, you get transparent, community-voted results from the AI Arena, where users earn USDT for judging models This matters because it turns AI from a rented tool into a shared economy, fostering diverse, unbiased intelligence that adapts without corporate vetoes.
0G Labs, as the first AI-native Layer 1, solve the infrastructure chokehold with modular design for infinite scalability. Traditional blockchains buckle under AI's data demands think Ethereum gasping at 30 TPS while AI needs thousands. 0G's DeAIOS integrates storage, data availability, and compute layers with multi-consensus validation, hitting 11k TPS per shard. It's like upgrading from a bicycle to a hyperloop for on-chain AI: developers run verifiable models without off-chain crutches, enabling fraud-proof apps like autonomous trading bots. Why does this stand out? In my experience, scalability isn't hype it's the barrier keeping AI agents "homeless" in centralized clouds. 0G provides sovereign execution, where AI isn't siloed but composable, turning Web3 into a thriving intelligent ecosystem.
Their synergy amplifies impact: DGrid's decentralized inference thrives on 0G's high-throughput backbone. Picture training models on 0G's secure data layers, then executing via DGrid's nodes outputs, are permanent, verifiable, and cost-effective. This stack counters AI's centralization risks, like single-point failures or biased datasets, by distributing power. I've seen projects fail from data rot; here, endurance builds compounding value, letting small teams rival giants.
Key strengths of DGrid AI:
Community governance aligns incentives, evolving the network through token holders. Modular architecture supports custom LLMs, reducing dependency on proprietary tech. AI Arena crowdsources quality, creating "ground truth" data for fairer models. Key strengths of 0G Labs:
Infinite sharding eliminates congestion, scaling with demand.
EVM compatibility eases migration, accelerating adoption. Decentralized compute marketplace democratizes resources, cutting barriers for innovators. In 2026's AI boom, ignoring these means betting on fragile systems. DGrid and 0G aren't trends they're necessities for resilient, user-owned intelligence. Integrate them, and your projects gain an edge that lasts cycles. From observation, this shift isn't optional; it's the path to AI that serves humanity, not shareholders.
DGridAI
0GLabs
ACEπββοΈ retweeted
GM FAM
17 hours to the end of @idOS_network epoch 2.
I'm going all in on @wallchain
Hope you're positioned? π«΅
Web3 needs infrastructure built for identity the same way XR needs infrastructure built for real time rendering.
@idOS_network optimizes the identity layer so users can interact across ecosystems securely, seamlessly, and without friction.
Quack @wallchain
ACEπββοΈ retweeted
There is a quiet weakness in most digital systems π
They forget
Platforms shut down
Links rot
Data gets edited
Context disappears
And when memory disappears, accountability fades with it
βββββββββββββββββββββββββββββββββββββ
Permacastapp leans into a simple belief
If something matters, store it permanently
Not for hype
Not for nostalgia
For integrity
Web3 talks about ownership all the time
But ownership without memory is fragile
When governance discussions, media archives, and community decisions live on permanent rails, you remove the option to quietly rewrite history
You anchor culture
You anchor responsibility
Permanence is not about storage
It is about consequence Permaweb_DAO
βββββββββββββββββββββββββββββββββββββ
DGrid AI approaches a different weakness
AI systems today operate like sealed boxes
You input
They output
You trust
But trust without verification scales risk
A decentralized AI inference network shifts that balance
Computation spreads across nodes
Results get checked
Quality becomes measurable
That does not make AI perfect
It makes AI accountable dgrid_ai
βββββββββββββββββββββββββββββββββββββ
Now place these two ideas together
Permanent records
Verifiable computation
You start building systems where intelligence leaves evidence
In the AI era, content will multiply
Synthetic voices will grow
Decisions will move faster
The only stable ground will be systems that remember
And systems that prove
Decentralization is not about removing control for the sake of ideology
It is about distributing responsibility
If AI shapes the future, then its outputs must be traceable
And the history around those outputs must endure
Otherwise we automate influence
Without preserving truth
The future will not be defined by smarter models
It will be defined by whether we built memory and proof into the foundation
ACEπββοΈ retweeted
Time compresses weaknesses.
In quiet periods, inefficiencies hide. Under volatility, they surface instantly. Capital moves faster. Decisions accelerate. Stress magnifies.
The structural integration of @0G_labs , DGrid, @dango, and PermawebDAO distributes that stress across complementary layers.
Infrastructure absorbs throughput shocks. Distributed compute handles processing surges. Execution platforms convert backend resilience into consistent market performance. Governance continuity preserves alignment when incentives are tested.
Volatility acts like a systems audit. It reveals hidden dependencies and structural shortcuts. Ecosystems that treat volatility as feedback rather than threat tend to mature faster.
Time doesnβt reward the loudest systems. It rewards the ones engineered to withstand acceleration.
And acceleration is inevitable in any network that succeeds.
Growth creates tension. More users, more transactions, more governance proposals each layer stretches as participation expands. Without elastic design, tension accumulates until something gives.
The layered coordination across OG Labs, DGrid, Dango, and PermawebDAO appears built with elasticity in mind.
@0G_labs expands infrastructural capacity so increased throughput doesnβt choke communication pathways. DGrid absorbs computational spikes from AI-driven automation and data-intensive execution. @dango reflects structural strength in the form of smoother on-chain trading performance. PermawebDAO ensures governance scales without losing historical continuity.
Elastic systems donβt resist tension by freezing. They flex. They rebalance. They redistribute.
In decentralized ecosystems, growth tension is inevitable. Structural elasticity determines whether expansion becomes evolution or fracture.
ACEπββοΈ retweeted
Reconstructing the Nervous System of the Open Web
@dgrid_ai isn't just another AI tool; it is a foundational public utility. We are moving AI from a centralized service to a transparent, decentralized infrastructure where trust is enforced by code, not corporate promises.
ACEπββοΈ retweeted
We are entering a strange phase of the internet π
Content moves faster than context
AI writes faster than humans read
And memory gets replaced by momentum
βββββββββββββββββββββββββββββββββββββ
Permacastapp feels like resistance to that speed
Not loud resistance
Quiet resistance
It treats media as something worth preserving
Not farming
When conversations, governance calls, research threads, and community debates are stored permanently, something changes
People speak with more care
Builders act with more responsibility
Communities gain continuity
Because nothing disappears
In Web3, permanence is discipline
It forces long term thinking in an industry obsessed with short cycles Permaweb_DAO
βββββββββββββββββββββββββββββββββββββ
Then there is DGrid AI
AI infrastructure today runs on trust you cannot inspect
You accept the output
You assume fairness
You assume integrity
But assumption is not verification
A decentralized inference network introduces friction
And that friction is healthy
Multiple nodes compute
Quality gets checked
Outputs become attributable
That changes AI from authority to system dgrid_ai
βββββββββββββββββββββββββββββββββββββ
Now combine both ideas
Permanent storage
Verifiable AI computation
You get memory plus proof
In an era where synthetic media can reshape narratives overnight, that combination matters
Because truth in the AI age will not be loud
It will be traceable
Decentralization plus AI is not about hype cycles
It is about shifting power away from silent gatekeepers
If the future is automated, then the record of that automation must be permanent
And the computation behind it must be provable
Otherwise we build intelligent systems
On fragile foundations
The networks that endure will not be the fastest
They will be the ones that remember
And the ones that can prove what they did
ACEπββοΈ retweeted
What excites me about @metasoilverse?
It starts with things you can actually see, farms, land, resources, and connects them directly to DeFi rails. Concrete assets generating real yield. Pure RealFi. @BingXOfficial #BingXBlast
ACEπββοΈ retweeted
Most Web3 media still lives on borrowed ground π
Posts disappear
Links break
Context fades
We build decentralized systems on storage layers that behave like any other cloud
Permacastapp takes a quieter approach
It asks a simple question
What happens to culture when the servers change hands
Permanent data is not about nostalgia
It is about accountability
When governance debates, research, media archives, and community decisions live forever, the story of a network cannot be edited after the fact
You remove the silent power of revision
You protect memory from convenience
In Web3, memory is governance
If records shift, power shifts
That is why permanence matters Permaweb_DAO
βββββββββββββββββββββββββββββββββββββ
Now look at DGrid AI
Most AI today runs behind closed doors
You send a prompt
You trust the output
You never see how it was processed or who computed it
Infrastructure is centralized
Opaque
Easy to influence
A decentralized AI network changes the shape of trust
Inference happens across distributed nodes
Quality gets verified
Outputs become auditable
This is not about faster responses
It is about measurable integrity dgrid_ai
βββββββββββββββββββββββββββββββββββββ
When permanent storage meets verifiable computing, something deeper forms
AI begins to leave a trail
Not only what was generated
But how and by whom
In a world filled with synthetic content and automated decisions, proof matters
History matters
Traceability matters
Decentralization plus AI is a tension
Power versus transparency
Control versus accountability
If we want systems that outlast founders and market cycles, we need both memory and verification
Without permanence, AI has no history
Without verification, AI has no credibility
And without both, the future becomes easy to rewrite
ACEπββοΈ retweeted
A big share of modern AI platforms seems focused on handing users more levers to pull extra models to test, countless settings to tweak, and an ever growing list of technical choices to sort through. On paper, that kind of flexibility feels
@dgrid_ai is choosing another path.


































