So someone actually needed permission to operate on a "permissioned" chain, and people are genuinely upset about it?
The irony writes itself. That's literally the whole point of permissioned blockchains—controlled access by design. Yet folks act shocked when gatekeeping happens on a gated network.
Wild times.

Data shows there's still 54,098 OM tokens sitting on Stargaze that haven't been moved yet.
Heads up - if these tokens aren't transferred back to MANTRA Mainnet before the governance-approved split upgrade happens (scheduled sometime after January 15, 2026), holders won't be able to participate in the MANTRA transition. The clock's ticking on this migration window, so anyone holding OM on that platform might want to act sooner rather than later.

Yo, CPI and introspection really went and created like 7 different versions of the exact same data structure. Wild how that's somehow the solution they landed on.

Looks like Grok 4.20 might drop before this year wraps up. The latest version of xAI's model could be landing soon—keeping an eye on whether they hit that EOY target.

This week witnessed something wild in the AI infrastructure space. Grok 4.1 Fast just crushed through OpenRouter's processing ceiling—1.16 trillion tokens in seven days.
That's not a typo. Over one trillion.
The leaderboard reshuffle? Brutal. It outpaced Grok Code Fast 1, left Claude Sonnet 4.5 in the dust, and left Gemini 3 Pro and DeepSeek V3 fighting for scraps. When you're processing at that scale, you're not just winning—you're rewriting what's possible for decentralized compute layers and AI-driven protocols.
If you're building in the AI x crypto space, this kind of throughput matters.

Sunday vibes hitting different today ☕🌄 Hope y'all getting some fresh air!
Quick tech share while we're chilling: stumbled upon this zkML blueprint repo that's pretty wild. They're actually publishing the full mathematical constraints and circom circuit implementations for custom verification points. If you've been wondering how to keep your AI models private while still proving computations on-chain, this might scratch that itch.
The zero-knowledge machine learning space keeps getting spicier. Worth a peek if you're into the intersection of cryptography and AI infrastructure.

Bill Gates just dropped a heavy take on where artificial intelligence is heading. According to him, we're looking at a future—maybe just ten years out—where humans won't be necessary for most tasks. That's the automation wave he's predicting. Makes you wonder what role we'll actually play when machines can handle the heavy lifting across industries.

The audit report for the idOS network is out, and the results are pretty solid.
On the encrypted sharding front, there’s confirmation that there’s been no leakage, and both the SDK and the Trusted Execution Environment passed the checks. This mechanism provides fairly robust protection for cross-chain identities, and sharded data storage is definitely useful in a multi-chain environment.
On the token side, the total supply is capped at 1 billion. The community gets 41.3% of the allocation, mainly for staking and participating in governance votes. This allocation gives the community a significa

Grok just rolled out something developers will love - a built-in coding environment with GitHub integration. Now you can literally code and manage your repos directly through Grok Code.
Looks like they're going all-in on the developer toolkit. More updates supposedly coming down the pipeline.

Think about this: if you can't verify what your AI model is actually doing, how can you trust it with mission-critical systems?
We're literally watching infrastructure get handed over to black-box models right now. Zero transparency. Zero accountability.
The fix? Some projects are building verification layers that stamp every single decision cryptographically. TEE-locked execution means:
→ Every action gets a tamper-proof signature
→ Full audit trail baked into the architecture
→ No more "trust me bro" when billions are on the line
Decentralized infrastructure demands verifiable compute. Anyth

The AI talent war is getting brutal, and one tech giant is bleeding heavily.
A major smartphone maker finds itself stuck in an awkward position—watching its AI engineers pack their bags for the competition. The exodus? Absolutely massive. Multiple senior talents have jumped ship to a social media giant, others headed to leading AI labs, some even chose an AI safety-focused research company.
Meanwhile, the company's CEO keeps rolling out... well, let's just say, some fascinating PR moves.
The contrast is striking: while competitors are building cutting-edge AI models and snatching up top minds,

Some infrastructure projects just click into place when you look back at them later.
Take unified identity systems that work across different blockchains and dApps—seems like idOS is building exactly that. When one identity layer can move through chains and applications without friction, it unlocks entirely new possibilities for what Web3 infrastructure can actually deliver.
The real shift? Establishing a common standard that the whole ecosystem can rally behind.

Currently, user verification and regulatory compliance systems are seriously hindering the development of many projects.
Some infrastructure solutions can quietly handle this process in the background—allowing stablecoin platforms to move more agilely and enabling users to join the system without dealing with complex procedures. As technical barriers decrease, the mass adoption of crypto payment applications accelerates.

People often overthink what I'm saying when a post gets traction. Here's the thing - I'm being literal, not cryptic. When I say machines learn faster than humans, I'm talking about raw training speed. Take PPO training runs, for example. What might take someone hours to grasp conceptually, the model processes in 30 seconds. Maybe even quicker with optimization. No hidden metaphor, no grand philosophy. Just pure computational efficiency doing its thing. Sometimes the straightforward interpretation is exactly the right one.

There's this project called Covalent working on something pretty interesting - connecting blockchain data with AI systems. They've built an AI Agent SDK and rolled out what they call the Model Context Protocol (MCP). The whole point? Letting AI models tap directly into real-time and historical on-chain data, with verifiable access baked right in. This opens up possibilities for building more sophisticated applications that actually understand what's happening on the blockchain.

There's something wild happening here. We've moved past the era of just prompting models for answers. Now? I'm literally watching reproducible ML experiments generate verifiable proof for hypotheses I've been chasing. Not speculation—actual data I can test and rebuild.
Research automation isn't coming. It's here. And it's unhinged in the best way possible.

Just when you thought proxy vulnerabilities couldn't get worse, there's a new beast in town: the "Clandestine Proxy In the Middle of Proxy" attack. This layered exploit is nastier than your typical MITM because it hides behind legitimate proxy infrastructure. Anyone running nodes or dealing with proxy setups needs to understand this threat vector ASAP. The attack chain is sneaky, and detection isn't straightforward.

After nearly a week of tinkering, I finally managed to get all the main components of my self-developed swing trading bot working.
From strategy logic to API integration, and then to the risk control module, I ran into quite a few pitfalls along the way. But seeing it start to execute trades on its own is a really satisfying feeling—it makes all those sleepless nights worth it.
Next up is the live trading test phase. Now I’ll see whether this logic can actually perform in real market conditions. After all, no matter how good the backtest data looks, it still has to withstand the harsh reality

We're racing toward a machine-dominated reality faster than most realize.
Musk's been floating this wild prediction lately—AI advances to a point where traditional jobs become optional. We'd supposedly enter this "abundance economy" where machines handle everything. Sounds utopian or dystopian depending on your perspective.
What's really interesting? Governments aren't dismissing this as sci-fi anymore. Major economies are now openly treating robotics and automation as critical strategic sectors, pouring resources into infrastructure that supports machine-to-machine economies.
The infrastructu

Just spotted this - Mobyscreener rolled out support for $PLUTO tracking! Finally can monitor this one properly now. Pretty solid addition to the dashboard.