Dmitry Machikhin

I told u, this whole story is one big ARG.

@snaxion @cz_binance Precedent Bitcoin's community will never agree on

@bitokdm @cz_binance False Easy to write the code that makes P2PK addresses unspendable Getting that through the social layer is a different matter

Saw some people panicking or asking about quantum computing's impact on crypto. At a high level, all crypto has to do is to upgrade to Quantum-Resistant (Post-Quantum) Algorithms. So, no need to panic. 😂 In practice, there are some execution considerations. It's hard to organize upgrades in a decentralized world. There will likely be many debates on which algorithm(s) to use, resulting in some forks. And some dead project may not upgrade at all. Might be a good to cleanse out those projects anyway. New code may introduce other bugs or security issues in the short term. People who self custody will have to migrate their coins to new wallets. This brings to the question of Satoshi's bitcoins. If those coins move, then it means he/she is still around, which is interesting to know. If they don't move (in a certain period of time), it might be better to lock (or effectively burn) those addresses so that they don't go to the first hacker who cracks it. There is also the difficulty of identifying all his addresses, and not confuse with some old hodlers. Anyway, it's a different topic for later. Fundamentally: It's always easier to encrypt than decrypt. More computing power is always good. Crypto will stay, post quantum.

The transition itself is the alpha. Every protocol scrambling to upgrade = massive demand for new cryptographic infrastructure. The teams building post-quantum solutions RIGHT NOW are positioning for the next cycle before most people even understand the problem. The real question isn't IF crypto survives quantum. It's WHO captures the transition.

Now imagine it’s all one giant ARG where we have to investigate a missing KitKat

AI is writing code for its own next versions. Claude team shipped 70 features in 52 days. CEO says engineers now supervise AI-written code while Claude builds itself further. Sounds great, but optimize your tokens — they burn in like 2 prompts. And time without Claude feels like your most productive direct report is just ignoring you.

@paoloardoino Dutch rudder? 👀

Coming soon...

@bleshgod This society is sick

These AI fruit videos are the best thing to happen to the internet

#Binance applied to get licensed in Greece to become the single exchange with official approval in the country. First come first served.

A 25-year-old girl Noelia Castillo Ramos gets gang-raped, paralyzed, euthanized tomorrow. I ask Claude to report it. It says "only without ethnic framing." Same Claude whose company feeds data to Palantir. The censorship knows exactly whose story to protect.

Thank you updated X algorithm came for news & crypto, got a cartoon about fruits cheating on each other. this is exactly what i open the internet for in 2026.

Remember the Tether collapse headlines? Now look at Circle. $CRCL -15% after CLARITY Act signaled no yield on stablecoin balances - activity-based rewards only. That kills the core bull case for USDC: evolving from a payment rail into a store-of-value product. Regulation just cut that path off. Media that wrote Tether's obituary how are you doing?

Leonid Radvinsky turned OnlyFans into a multi-billion dollar company… with a team of around 42 employees. In a world where corporations scale to thousands or even tens of thousands of employees, this looks almost like an anomaly. RIP

BREAKING: Vitalik states that @Pumpfun has killed memecoins by turning new retail investors entering the crypto space into degenerate gamblers and with no real-world use, the industry will die fast. He also stated that @pumpfun has been a net negative to crypto since it was released in 2024 by draining the $crypto ecosystem with coins like the $Trump coin eroding trust.

Meta officially shuts down its Metaverse after burning through $80B. Looks like they genuinely believed they could build something close to Ready Player One. What did we get instead? Low-quality avatars that, by 2026 standards, two students could probably recreate over a couple beers and instant noodles. Maybe the idea wasn’t wrong just too early. Wanna real metaverse? See you in 20–40 years (if we make it that far).

@paoloardoino Is the Tether team going to keep dropping announcements every week?

Tether product team is preparing something big. Shipping in less than 30 days.

@EHuanglu AI is slop

‘AI is slop’.. they say

AI for everyone > AI as a utility. Looks like Tether may have actually pulled off a breakthrough. Until now, running a local LLM (without paying for APIs) meant expensive GPUs or servers — often costing more than just using ChatGPT. QVAC changes the game. You can now run and fine-tune models on consumer hardware even smartphones.

Tether AI breakthrough Tether AI team just released new version of QVAC Fabric to include the World’s First Cross-Platform BitNet LoRA Framework to Enable Billion-Parameter AI Training and Inference on Consumer GPUs and Smartphones. Background Microsoft's BitNet uses one bit architecture to dramatically compress models. Traditional LLMs operate on full-precision computation, where weights are stored as complex, high-resolution numbers. The innovation of BitNet is that it shrinks these weights into a tiny ternary range of only -1, 0, and 1. significantly reducing memory usage and computation. LoRA, is a parameter-efficient fine-tuning technique that reduces the number of trainable parameters by up to ninety-nine percent. Together they slash memory and compute requirements. Yet BitNet has mostly been limited to CPU or CUDA NVIDIA backends, and lacked the support of LoRA fine-tuning. Enters QVAC Fabric: the unlock Today, with QVAC Fabric LLM, is the first time BitNet LoRA fine-tuning and inference work cross-platform across GPU vendors and operating systems using Vulkan and Metal backends. That means support for AMD, Intel, Apple Metal and also Mobile GPUs. And for the first time ever, BitNet inference runs efficiently on smartphones using mobile GPUs. On flagship devices, GPU inference is 2 to 11 times faster than CPU while using up to 90% less memory than the full precision models. The biggest unlock: QVAC Fabric LLM support for BitNet LoRA fine-tuning on heterogeneous GPUs. Our team was able to demonstrate this by fine tuning models up to 3.8 billion parameters on all flagships phones such as Pixel 9, S25 and iPhone 16 and up to 13 billion parameter models on the iPhone 16. Github repositories: github.com/tetherto/qvac-… : general QVAC Fabric codebase github.com/tetherto/qvac-… : specific QVAC Fabric's BitNet knowledge base, architecture docs and pre-built binaries What does it mean? What used to require dedicated GPUs now runs on consumer hardware. This breakthrough is the first real-world signal of a local private AI that can truly serve the people. And this is just the beginning. In the next months and years Tether will relentlessly continue to invest significant amounts of resources and capital to continue to research and develop open-source intelligence that can scale and evolve on local devices, providing maximum utility and privacy to its users. The era of Stable Intelligence has just begun. Free as in freedom.

@paoloardoino So basically, you can now run and even fine-tune a lightweight LLM directly on your phone 🤯