Application-Specific Blockchain is starting to heat up again, with more and more projects moving towards vertical scenarios.
It must be said that bytemaster's design for Steem back then was truly ahead of its time— a blockchain specifically optimized for social content, which remains very inspiring even now.
What is most eye-catching are a few design features at the protocol level: native support for multi-signatures and Passkey signature verification, which greatly enhance user experience; and the atomic gas fee sponsorship mechanism, allowing project teams to seamlessly cover user transactio

Look, here's why the momentum's real:
We're ditching the old guard's "just take our word for it" playbook. What's emerging? A radically open security layer—adversarial by design, impossible to shut down. Built by a global army of contributors, not some closed boardroom.
Think about it: as AI becomes humanity's most critical asset, whoever controls the infrastructure protecting that intelligence holds all the cards.
That's where Subnet 23 enters the picture.

Remember those robot laws Asimov cooked up? Three neat little commandments: protect humans, follow orders, self-preserve - but only when it doesn't mess with the first two.
Sounds bulletproof on paper. Reality? That's where things get messy.
Asimov himself knew this. His entire story collection is basically a masterclass in watching these rules bend, break, and backfire in ways nobody saw coming. The robots weren't the problem - the logic gaps were.
Now we're building AGI, and suddenly those old sci-fi debates aren't theoretical anymore. The question isn't whether machines can follow rules. It

Satellite internet now reaches the planet's most isolated corners—even Antarctica gets coverage. Makes you wonder how decentralized connectivity infrastructure could reshape access in regions traditional ISPs ignore.

Recently, the social accounts of big Vs in the circle have been lost one after another, which is worth talking about.
The hacker's routine is indeed escalating. The early fake phishing links have now evolved to send contract addresses that have skyrocketed - this trick is not small for the old leek, after all, everyone has seen those CAs, and their vigilance will decrease.
But to be honest, the most ruthless trick has not yet appeared. If I take down a KOL's account, I don't need to rush to send any token address. Change your avatar, add a picture with three big characters "New Project", and t

Heard Nvidia's cooking up some wild tech—basically GPS tracking for their chips. Word is they can now pinpoint which country their hardware's actually running in.
Why bother? Stops smugglers from sneaking high-end AI chips into places where exports are banned. Smart move or overkill? Either way, this could flip how tech companies handle export restrictions. No more "oops, didn't know it ended up there" excuses.
Curious how this plays out for miners and data centers operating in gray zones.

Those authors of the liver emperor in Japanese comics are probably able to breathe a sigh of relief now - AI finalization is really feasible. Everyone is vibe coding, so isn't it logical for vibe painting?
I think in comic creation, coloring and detail polishing are enough for this AI. I took my daughter's graffiti and tested it, and the effect was quite surprising.
The prompt is also simple: retain the original expression characteristics of children's paintings, the picture quality is close to the level of comics, and finally process it into a double-open layout format with spreads.

When established exchanges on Wall Street begin to seriously think about "moving stocks on-chain", the changes may be more bottom-level than we think.
Nasdaq is promoting an ambitious attempt: to allow US securities to be cleared directly on-chain. This is not a gimmick, but a structural change that could leverage the logic of the operation of the U.S. capital market. Imagine real-time settlement of transactions as soon as they are completed, eliminating the need for a T+2 waiting period or so many intermediate links to go back and forth.
There are a lot of things involved behind this. Traditi

Musk just dropped some specs on the upcoming X algorithm overhaul—it's rolling out this month. Here's the kicker: Grok will be chewing through 100 million posts daily. That's not a typo.
He mentioned the compute requirements are massive. "Hopefully it doesn't fry Grok's circuits," he joked, but you can tell the infrastructure behind this is no joke. The AI horsepower they're throwing at content processing is pretty wild when you think about the scale.

I've been digging into why Lighter avoided the heat back on October 10th when ADL enforcement got super aggressive everywhere else.
This piece tears apart various ADL distribution models, but here's what's wild—Lighter appears to be running the identical ADL ranking system as Hyperliquid. Same logic, same parameters. So why the different outcomes? The distribution mechanics might be the same on paper, but implementation details matter way more than people realize.

Recently, I spent 4 days experiencing AI-assisted programming, and I have two deep feelings:
Now one person can really stand up to a small team. In the early stage, running through the business logic, 5 people are more than enough, and there is no pressure at all to support a product that can be launched.
To be honest, those who do basic work and executive positions may not have a good time in the future.

Someone nailed it with a religious metaphor I can't track down anymore: one faith waits endlessly for salvation, another watched it arrive and leave without a trace. That's exactly where we are with AGI in 2025—either it's already here doing absolutely nothing, or we're still waiting on a promise that'll never land.

Musk just dropped some wild updates about X's next-gen algorithm dropping this December. Here's what caught my attention:
Their AI system Grok is about to process 100 million posts daily. Yeah, you read that right - 100M posts EVERY SINGLE DAY. Musk joked it might "destroy its mind" handling that volume, but honestly? That's the scale needed for proper content filtering nowadays.
The goal sounds simple enough: surface content people actually want to see. But we all know recommendation algos are never that straightforward. The interesting part? They're betting everything on Grok's ability to un

Musk recently dropped a bombshell—he's been haunted by AI nightmares for days straight. Wild, right?
Someone asked him point-blank: "You keep saying nobody will need jobs or money in the future because AI handles everything. What's that supposed to mean?"
His answer? Straightforward but chilling. AI and robotics will eventually execute any task humans throw at them. We're talking full automation. Every. Single. Thing.
The implications hit different when you realize he's not just theorizing—this guy's literally building the tech. Whether it's a utopia or dystopia depends on who's steering the s

Musk dropped some wild perspective on Starship recently. He's betting future historians will mark it as a civilization-level breakthrough. Here's the thing though—most people still don't grasp how revolutionary this tech actually is. We're talking about a fundamental shift that's flying under the radar while everyone's distracted by surface-level noise. First reusable superheavy rocket that could rewrite the economics of space access entirely. The implications? Massive.

Musk recently dropped some wild predictions about where AI and robotics are headed. If things keep moving at this pace? We're looking at a future where machines can literally handle any task humans throw at them.
Think about it. Every good, every service you can imagine—all potentially automated. That's the trajectory we're on. The tech isn't just improving incrementally anymore; it's accelerating in ways that reshape entire economic models.
Whether you're bullish or skeptical, one thing's clear: the convergence of AI capabilities with robotic systems is creating scenarios that seemed like pur

Still wild that we standardized visual NFTs but audio remains fragmented. JPEG became the universal image language decades ago — why's there no equivalent for on-chain music? Different platforms, different formats, zero interoperability. Someone needs to crack this. The music NFT space won't scale until we solve the format puzzle.

Arkham just rolled out a slick update to their transaction filtering system that's honestly pretty overdue.
Here's the deal: whenever you're digging through transaction logs and set up custom filters, there's now a Save button sitting on the right side. Click it, and boom—that exact filter setup gets stored for whenever you need it again. No more rebuilding the same search parameters from scratch every single time.
The saved filters? They live in a Bookmark section you can pull up anytime. Super straightforward.
For anyone doing regular on-chain analysis or tracking specific wallet behaviors,

The Apriel-1.6-15B-Thinker model newly released by the ServiceNow research team is truly impressive—it achieves performance on par with models in the same class, but with just 15B parameters and a model size reduced by a factor of 15. Even more impressive, 15% of its pre-training data was powered by NVIDIA, making its computational optimization approach worth noting.
If the path of high performance with smaller models proves successful, it could significantly impact the entire AI computing power market landscape. After all, everyone is currently burning money to stack parameters, so a solution