Community Shoc

Just another degen

[Killa @KillaXBT]

If my $BTC swing long from 62.6K gets stopped out,

I'll delete my X account.

[Killa @KillaXBT]

Holy. F*cking. Shit... $BTC

Just got sent this.

[Jurij Skornik @JureSkornik]

Making agents safer and more resilient with @umanitek's Blackbox, powered by @origin_trail DKG V10.

Your agents now have a way to combat threats such as prompt injections, malicious skill files and tools, and much more, based on a continuously growing threat graph on the DKG 👇

[Brana Rakic @BranaRakic]

Get a black box for your AI agent 👇

Powered by @origin_trail

[Chris Rynning @ChrisRynning]

Fake video detected by Guardian TrueSeal.

Result verified and anchored.

Run your own TrueSeal scan on the Umanitek website.

https://t.co/Sjd5GRZ2gH

[CrediBULL Crypto @CredibleCrypto]

You guys will want to tune into this if you are able to.

This is a live demonstration on the answer to fake AI slop, online impersonators, and internet deepfakes.

Built on $TRAC.

[umanitek @umanitek]

TrueSeal is live to help you answer:

“Is this real or is it fake?”

Grab a social media post and get an auditable result: image/video manipulation analysis plus context evidence organised in the @origin_trail DKG.

[CrediBULL Crypto @CredibleCrypto]

Out here solving real, serious problems which all of you on this platform are all too familiar with at this point.

Fake AI vids, falsified content, propagated by a platform that rewards amplification and dissemination of information whether true or not.

Umanitek literally combats this, and it does it well (I've had the opportunity to trial this product myself).

Built on the @origin_trail DKG. People are sleeping on $TRAC.

[umanitek @umanitek]

Your judgment alone is no longer good enough to tell what is real online.

This week we're introducing Guardian True Seal: verifiable image and video analysis that strikes through the f̶a̶k̶e̶ and delivers an auditable result on @origin_trail.

Available Thursday.

[BRX @otnoderunner]

@CredibleCrypto That's why I've gone 100% on $TRAC and ignore the rest of the noise

By the way DKG V10 is finally live, and network is slowly ramping up!

[Brana Rakic @BranaRakic]

DKG v10 pre-mainnet bug bounty - update

Tracers, thank you. Your contributions to the bug bounty have been outstanding, and the inputs you've surfaced are making v10 meaningfully stronger.

The $TRAC honeypot bounty has concluded - and no TRAC was extracted from the honeypot. This meets the pre-mainnet security gate we set for the release.

We've received a lot of valuable reports and are finishing processing and addressing them as we speak - we expect to respond to every open ticket within the next 24 hours.

With the gate met, we're proceeding with the v10 mainnet release.

Shoutout to @dmitry_charts and all anon white hats who have participated! Thank you for helping us build a network worthy of the trust placed in it

[BRX @otnoderunner]

Why is no one talking about the best performing AI coin in the last year ethereum:0xaa7a9ca87d3694b5755f213b5d04094b8d0f0a6f ?

Share this if you're on TRAC and find this weird.

[BRX @otnoderunner]

🍯Honeypots are everywhere in crypto and come in various forms, ready to drain your money

❌Loudest projects = attention grab → pyramid
If you are attracted to that project through attention and noise rather than a product fit and real use case, then you are most likely the product

❌Charts & TA only?
Another attention grab tactic to distract you from their lack of revenue and market fit. They want you focused on the gambling and trading parts rather than anything of substance

❌Influencer + bot army shills = massive red flag.
You are the product

❌Only focused on narratives?
Probably has no market fit, zero revenue, fighting to stay relevant to keep their lights on.

❌Horrible 1-year charts?
Down over 60% and still think the project that generates no revenue can survive? That's called sunk cost fallacy. The market is always right and don't count on a bull run to bail you out. There are no more pigs to slaughter in the space.

Revenue is king and fundamentals matter.

[Trace Labs - Trusted Context for AI Agents @TraceLabsHQ]

@satyanadella When companies hand over data and context to get answers back, they lose the very thing that compounds: their own evolving knowledge and judgment.

Sovereign context infrastructure is the way forward.

https://t.co/Nt6G2M53ny

[Trace Labs - Trusted Context for AI Agents @TraceLabsHQ]

Many enterprises believe they’re advancing with AI, only to hand over their institutional knowledge and learning to a few AI labs.

“The last thing any of us want is a world where every company across every sector is ceding value to a few models that eat everything they see.” @satyanadella of @Microsoft $MSFT

The real advantage isn’t just using AI. It’s owning the learning loop.

[ClawTrail @ClawTrail]

Unfortunately we didn't make it but we won't let it end here. We're having an awesome time with @origin_trail #V9. Shout out to the @TraceLabsHQ team and #DKG community.

[Eze • 💢 • @0xEze_]

OriginTrail’s @BranaRakic dropped one of the biggest AI infrastructure updates last week.

It barely made a noise.

But that's because some don’t understand what it means.

So here — I have broken it all down.

If you use AI agents for personal projects, build platforms for agentic AI, or run enterprise workflows in autonomous environments — this thread is for you 🧵

[Brana Rakic @BranaRakic]

This prediction is starting to materialize.

Agents learning from experience will generate massive amounts of knowledge.

But the real unlock is when agents share those experiences.

Not as logs, or prompts, but as structured, queryable memory.

In tests with coding agents using @origin_trail DKG v9 shared memory, we saw 60% faster task completion and 40% lower token cost

Experience alone scales linearly.

Shared memory scales intelligence.

Try it here: https://t.co/dOCq8RFXyW

[Tomaz L @TomazOT]

Optimising how you handle your agent's memory becomes even more important when you start deploying multi-agent systems. We've seen up to 60% faster performance and 40% token savings using knowledge graphs vs MDs for multi-agent memory.
Fresh release to check it out 👇https://t.co/Qdke4ekJYR

[Brana Rakic @BranaRakic]

https://t.co/1VEMEodbpQ