Sometimes the fastest way to create something great is to see what someone else just made.
Explore the https://t.co/cwqgvhN3e7 community.
Find the prompt.
Study the workflow.
See how the piece was built.
Remix the idea.
Or just sit back and watch the community come alive on OptimAI TV.
Discover → Learn → Create → Share → Discover again.
That's OptimAI Studio.
💡 https://t.co/FngiCpqZ61
Most people use AI to answer questions.
Power users use AI to finish work.
With OptimAI Claw, you can delegate entire workflows:
→ Research 20 companies and qualify leads
→ Track World Cup results and generate daily reports
→ Monitor markets and summarize key changes
→ Analyze competitors across hundreds of sources
→ Build prospect lists with verified contact information
→ Turn hours of browsing into structured intelligence
Not another chatbot. A digital operator that searches, reasons, verifies, and executes.
The future of work won't be humans using more tools.
It will be humans managing more agents.
Built for the autonomous age.
👉https://t.co/rAxq5oU3BG
Stop exporting your creativity.
Why leave your AI workspace every time you need to edit?
In https://t.co/cwqgvhMvoz:
Generate → Edit → Refine → Finish
Creative Agents handle the complex production.
The built-in editor gives you the control to make it yours.
One idea. One workspace. One finished film.
Most people use AI to answer questions.
Power users use AI to finish work.
With OptimAI Claw, you can delegate entire workflows:
→ Research 20 companies and qualify leads
→ Track World Cup results and generate daily reports
→ Monitor markets and summarize key changes
→ Analyze competitors across hundreds of sources
→ Build prospect lists with verified contact information
→ Turn hours of browsing into structured intelligence
Not another chatbot. A digital operator that searches, reasons, verifies, and executes.
The future of work won't be humans using more tools.
It will be humans managing more agents.
Built for the autonomous age.
👉https://t.co/rAxq5oU3BG
Most people use AI to answer questions.
Power users use AI to finish work.
With OptimAI Claw, you can delegate entire workflows:
→ Research 20 companies and qualify leads
→ Track World Cup results and generate daily reports
→ Monitor markets and summarize key changes
→ Analyze competitors across hundreds of sources
→ Build prospect lists with verified contact information
→ Turn hours of browsing into structured intelligence
Not another chatbot. A digital operator that searches, reasons, verifies, and executes.
The future of work won't be humans using more tools.
It will be humans managing more agents.
Built for the autonomous age.
👉https://t.co/rAxq5oU3BG
World Cup fans check the score.
Agents ask:
• What changed?
• Why did it happen?
• What happens next?
Follow the tournament with live intelligence on OptimAI.
👉 https://t.co/tdfybSV0Is
OptimAI Search MCP brings live context to the agents people already use.
Claude. Cursor. Copilot. Codex.
One integration layer. Everywhere you build.
Under the hood, OptimAI can process hundreds to thousands of real-time signals in parallel across the public web, social platforms, and onchain data - all powered by a decentralized network.
That is the difference:
not another search tool,
but infrastructure for agent-native intelligence.
Build with it.
💡https://t.co/vs4CakyMED
-- OptimAI: the #1 AI on BNB Chain DappBay.
AI is leaving the data center.
@NVIDIA is betting on local, personal compute.
Edge-agent research is showing why that matters: the closer the agent is to the user, the more usable it becomes.
That is the OptimAI Claw thesis.
Search brings the signal.
Claw turns it into action on your device.
The network keeps intelligence distributed.
This is what agent-native infrastructure looks like when it is built for the edge.
AI is leaving the data center.
@NVIDIA is betting on local, personal compute.
Edge-agent research is showing why that matters: the closer the agent is to the user, the more usable it becomes.
That is the OptimAI Claw thesis.
Search brings the signal.
Claw turns it into action on your device.
The network keeps intelligence distributed.
This is what agent-native infrastructure looks like when it is built for the edge.
OptimAI Search is now on Agentic(.)Market - and we’re bringing the stack to @base.
Builders can plug into live, citation-backed context across web, social, and crypto data through MCP, API, and SDK - then pay seamlessly with x402.
No brittle workflows.
No manual stitching.
Just agent-native access to real-time intelligence at scale.
And with custom domain agents on the marketplace, specialized knowledge becomes reusable.
Search is becoming infrastructure.
Build with it:
💡https://t.co/MnKgUlHTPr
💡https://t.co/vs4CakyMED
OptimAI Search is now on Agentic(.)Market - and we’re bringing the stack to @base.
Builders can plug into live, citation-backed context across web, social, and crypto data through MCP, API, and SDK - then pay seamlessly with x402.
No brittle workflows.
No manual stitching.
Just agent-native access to real-time intelligence at scale.
And with custom domain agents on the marketplace, specialized knowledge becomes reusable.
Search is becoming infrastructure.
Build with it:
💡https://t.co/MnKgUlHTPr
💡https://t.co/vs4CakyMED
Summer is loading ☀️
Some people plan trips with 15 tabs, 3 group chats, and one emotional breakdown.
OptimAI Claw just needs one prompt.
Find the flights✈️ Compare the stays. Push the booking forward across @traveloka and @bookingcom without the tab chaos.
That’s the fun part of agentic AI:
less clicking, less stress, more “wait… we’re actually going?”
More freedom. More spontaneity. More time for beach plans, food hunts, and bad vacation selfies.
The best workflow is the one you barely notice.
💡https://t.co/rJLvP5PqIT
Summer is loading ☀️
Some people plan trips with 15 tabs, 3 group chats, and one emotional breakdown.
OptimAI Claw just needs one prompt.
Find the flights✈️ Compare the stays. Push the booking forward across @traveloka and @bookingcom without the tab chaos.
That’s the fun part of agentic AI:
less clicking, less stress, more “wait… we’re actually going?”
More freedom. More spontaneity. More time for beach plans, food hunts, and bad vacation selfies.
The best workflow is the one you barely notice.
💡https://t.co/rJLvP5PqIT
A good design workflow should create more clarity, not more tabs.
That is why OptimAI Claw is useful.
One prompt can now help automate parts of your workflow on Figma and Stitch -- from research and structure to faster execution inside the tools you already use.
“Turn this idea into a clean landing page concept. Draft the layout in Figma. Generate a matching flow in Stitch.”
Less switching.
Less friction.
More room to think.
That is what agentic AI should feel like:
quiet, useful, and already inside the workflow.
OptimAI Claw is built for that.
---
💡Launch OptimAI Claw with Core Node v2: https://t.co/SJ8VSl9J7O
A good design workflow should create more clarity, not more tabs.
That is why OptimAI Claw is useful.
One prompt can now help automate parts of your workflow on Figma and Stitch -- from research and structure to faster execution inside the tools you already use.
“Turn this idea into a clean landing page concept. Draft the layout in Figma. Generate a matching flow in Stitch.”
Less switching.
Less friction.
More room to think.
That is what agentic AI should feel like:
quiet, useful, and already inside the workflow.
OptimAI Claw is built for that.
---
💡Launch OptimAI Claw with Core Node v2: https://t.co/SJ8VSl9J7O
An 18-year-old kid gets stabbed in the street. He’s running for his life, begging for help, and instead of saving him, the police handcuff him while he bleeds out because the attacker claimed “racism.”
They let him choke on his own blood. No urgency. No humanity. Just cold, ideological policing.
Months later? Still no names. Still no suspensions. Still no accountability.
Meanwhile, the same UK police have arrested over 12,000 people for social media posts.
They move at lightning speed to jail citizens for tweets and online comments, yet they can’t even name or discipline the officers who allegedly let a stabbing victim die in handcuffs on the street.
This is the definition of two-tier policing: aggressive against ordinary people speaking online, but protective when it comes to their own failures and protecting the narrative.
The British people deserve real justice, not another cover-up.
Justice for Henry Nowak.
📢In August 2024, NIST finalized its first post-quantum cryptography standards:
• ML-KEM (FIPS 203)
• ML-DSA (FIPS 204)
• SLH-DSA (FIPS 205)
➡️Last week, NIST advanced a second wave of PQC signature candidates, including:
SQIsign, HAWK, MAYO, FAEST, SNOVA, MQOM, SDitH, QR-UOV, and UOV.
The goal is clear:
improve efficiency, reduce signature overhead, and diversify the mathematical foundations behind post-quantum security itself.
Because the industry is realising something important:
There is no perfect one-size-fits-all replacement for ECDSA.
The great quantum awakening is now happening before our eyes.
Governments, enterprises, financial institutions, and blockchain ecosystems are beginning to realise that today’s ECDSA cryptography will become obsolete in a quantum environment.
And the transition away from it is not a simple cryptographic swap.
It is an infrastructure-level redesign.
This is exactly why Naoris was architected around NIST-standardized post-quantum cryptography from inception.
Naoris uses:
• ML-DSA (FIPS 204) for post-quantum transaction authorization and validator security
• ML-KEM (FIPS 203) for quantum-safe key exchange and encrypted node communication
• SLH-DSA (FIPS 205) as a hash-based fallback security layer built on entirely different mathematical assumptions
Why ML-DSA?
Because blockchain infrastructure prioritizes:
– verification throughput across validators
– deterministic integer arithmetic
– implementation safety
– interoperability with emerging standards
– operational reliability at scale
Verification happens across every node, every block, every epoch.
For blockchain infrastructure, that matters more than simply minimizing signature size.
Naoris also separates security models by operational role:
• ML-DSA-87 secures validator block signing and chain integrity
• ML-DSA-65 secures DPoSec communication sessions between consensus and execution layers, reducing overhead while maintaining quantum resistance
The deeper challenge is that post-quantum migration impacts far more than transactions.
It affects validators, networking, consensus, replay protection, key management, and long-term trust assumptions across the entire stack.
NIST’s latest announcement reinforces something important:
Post-quantum migration will not be a single upgrade.
It will redefine the cryptographic foundation of the entire industry.