sensey

My ALBANIA TOURISM guide... 🇦🇱 Sea / Beach: • Palasë / Dhërmi / Himarë — basically the Côte d’Azur of Albania. Higher prices across the board, but by far the best beaches, restaurants, and boutique hotels. If budget isn’t a concern, Green Coast is the top choice: gated, clean, modern, and luxurious. I personally bought a duplex with a pool in the new area. • Ksamil / Sarandë — lower budget compared to the Riviera, beautiful Ionian beaches, lively in summer, and great seafood. • Durrës / Gjiri i Lalëzit — ideal if you want quick access from Tirana. Gjiri i Lalëzit especially has become one of the more modern coastal areas with resorts, villas, and quieter beaches. • Rana e Hedhun — one of the most unique spots in the north, where the sand dunes meet the sea. Very calm, underrated, and perfect if you want something less crowded + cheap. Cities / Nightlife: • Tirana — a true metropolis and, in my opinion, the best city in the Balkans. Incredible architecture, strong cultural identity, beautiful artificial lakes, one of the best culinary scenes in the Mediterranean region, outstanding bars and rooftops, solid nightlife, great people, and only 30 minutes away from both beaches and mountains. Historic Destinations: • Shkodër — historic Venetian influence, stunning lake and castles, strong Catholic culture, and incredibly cheap seafood and drinks. • Berat — beautiful Ottoman architecture, great food and drinks, museums, and one of the most visually unique cities in the country. • Gjirokastër — known for its stone architecture, Orthodox heritage, fair prices, and incredible atmosphere. • Krujë — home of Skanderbeg, filled with history, mountain views, Ottoman-era streets, and one of the most important cultural sites in Albania. Mountains: • Kukës — surrounded by mountains and incredible scenery. Not much life, but amazing nature and views. • Theth — small alpine village, perfect as a base for hikes, rivers, waterfalls, and some of the best landscapes in the Balkans.

hear me out anon. whatever you're using right now, drop it for one night. install hermes agent. set a /goal for that one thing you've been thinking about but never started. go to sleep. just try it once.

Gemma 4 sees a kid and three dogs. Decides what matters. Calls SAM 3.1 Mask and bounding box. Spotlight on subjects. Background blur. Background pixelation. Four effects. Fully agentic. Two models talking to each other on a MacBook. No App. No cloud. What would you edit?

MASSIVE Gemma 4 (31B, Dense), a model that performs on parity w/ Kimi K2.5 (1.1T, MoE) > 35x SMALLER than Kimi K2.5 Would run on any hardware at home - RTX 3090 / 4090 / 5090 * - DGX Spark / Mac Studios - MacBook Pro (24GB+) New local SoTA * Best perf. is when ran on GPUs

NETANYAHU IS A SON OF A BITCH

使用 MPC 等加密技术实现的隐私 Qwen 模型，即不暴露输入。 klearu-demo.qstorage.quilibrium.com

You don’t see this kind of tech for a 15m mcap coin $QUIL, zcash was first, quil is next in privacy

A lot of the "private" AI options out there are lying to you. Look under the hood. Use the dev tools on the browser to see what is actually sent. It's plaintext. What they're actually doing is _promising_ they won't look. We don't do that. See for yourself. We have an inspector tab so you can see the actual traffic data, but you can confirm it in the browser. klearu-demo.qstorage.quilibrium.com Don't trust. Verify.

So Quilibrium just beat ETHs own roadmap, shipping the risc-v zk runtime Vitalik wants. And not only that. Eth plans for 32bit but today 64bit went live. This enables running full Linux VMs inside Q, along with providing proofs and trustless bridging for Eth and Solana. And using CPUs, no expensive GPU clusters. There will be some serious Eureka moments when people start to realize what is being built here, and what it implies.

The criticism is tired, and now, accusing of using community as exit liquidity, libelous. We've been shipping updates like crazy, the claims that nothing shipped is beyond horseshit. In the past two months we shipped: - the mobile beta of Quorum, with a built in wallet, farcaster integration, and mini app support - QConsole, the management console for Q services - Qstorage, the S3 compatible file hosting service - QKMS, the MPC key management service - QQ, the SQS compatible queue service - QPing, the SNS compatible notification service - Klearu, our MPC CPU-powered machine learning library and runtime - MetaVM, our ZK RISC-V, EVM, and sBPF library - several Q node software updates, in cooperation with the many diligent and dedicated testers who have been instrumental in seeing things through Mods banned you from the discord and other venues because you went batshit. But this is exhausting dude, you've followed people talking about real progress happening to try to slander the project, you followed me on both X and Farcaster to repeatedly troll bait. Seek some fucking help.

MetaVM has been released. Prove execution of RISC-V, EVM, and Solana sBPF in ZK. Supports Quilibrium's BLS48-581 and Ethereum's BLS12-381 natively, without needing a GPU. MetaVM's RISC-V compatibility is the first full ZK RV64IMAC instruction set – you can run Linux in MetaVM, and prove everything that happened within the VM session, prove a block on Ethereum, or a slot on Solana, and emit proofs compatible with either Q or Ethereum. github.com/QuilibriumNetw…

The world's first usable private ML inference, running on CPUs, not GPUs. If a side track is world-class, what does that tell you about the main track?

Klearu has been updated to support additional features required by Qwen3.5. Run Qwen3.5, E2EE, in the first MPC AI runtime: github.com/QuilibriumNetw…

Today, we are publishing one of the side tracks of research ongoing with Q, our E2EE ML training and inference library, klearu: github.com/QuilibriumNetw… SLIDE proved that hash tables can beat GPUs at training deep networks. Further works compounded on this, and Klearu is the first native Rust implementation built on top of this research, extending it to LLM inference, sparsity prediction, and private two-party computation. In the current days we're seeing deeper trust being placed on AI, while the largest of providers are collecting this data for the purpose of not only training, but also advertising, or even selling this data to others. The risks grow worse with every passing day. The majority of AI research for private AI exists in the form of using TEEs – but we've seen time and time again that using TEEs for privacy is disastrous, guaranteed to leak, and even by it's name, is a massive requirement of trust. Outside of this, other private AI looks towards FHE. We know, at least for the near future, that FHE cannot perform at a speed high enough to be generally useful. So instead, we adopted 2PC, with flexible security configurations, where users can be assured that their requests remain private. The majority of these research projects have strictly an output of papers, with no or limited real world instances of their use. Klearu's implementation is available now, with simple instructions for developers to try it out.

INCREDIBLE We got 3 new SOTAs from Qwen today - Beating Sonnet 4.5 in many benchmarks - Can run locally at home on your own hardware The 3 models > Qwen 3.5 122B-A10B (MoE) > Qwen 3.5 35B-A3B (MoE) > Qwen 3.5 27B (Dense) Great stuff from Qwen as usual The future is opensource

when you realise you’re only 1 Claude tweet away from unemployment

you basically need to be unemployed rn to keep up

The most honest sentence in the entire AI industry right now is one nobody wants to say out loud. Every major foundation model was trained on data its creators did not have explicit permission to use. Every single one. Anthropic settled for $1.5 billion over 7 million pirated books used to train Claude. OpenAI faces ongoing lawsuits from authors, newspapers, and code repositories. Google trained on the entire indexed internet. Meta used Libraries Genesis datasets. And xAI’s Grok was trained on the full corpus of X posts, a decision Musk made unilaterally as the platform’s owner without individual user consent. So when Elon Musk tweets that “Anthropic is guilty of stealing training data at massive scale and has had to pay multi-billion dollar settlements for their theft. This is just a fact,” he is telling a true but deeply selective version of the story. The settlement is real. The $1.5 billion is documented. The pirated books are documented. But framing this as an Anthropic problem rather than an industry-wide structural reality is competitive positioning disguised as moral outrage. Here is the actual mechanism nobody is mapping. Anthropic accused Chinese labs of distilling Claude through its public API. Musk responded by pointing out Anthropic trained on stolen data. Gergely Orosz, a respected engineer, wrote “Anthropic can’t have it both ways.” All three are correct simultaneously and all three are being selectively honest. The structural reality is that the entire foundation model industry sits on an unresolved intellectual property question worth hundreds of billions of dollars. Every lab trained on data it did not license. Every lab knows this. Every lab’s legal strategy is to get big enough that the settlement becomes a cost of doing business rather than an existential threat. Anthropic already paid $1.5 billion. That is not a punishment. That is a licensing fee paid retroactively under legal pressure. The reason Musk is raising this now has nothing to do with ethics. Anthropic is in conversations with the Pentagon. xAI is competing for the same contracts. Framing your competitor as a data thief three days before a defense meeting is not moral clarity. It is positioning. And the deepest irony is the China angle. The United States wants to restrict Chinese access to American AI models on intellectual property grounds. But every American AI model was built on intellectual property its creators took without permission from millions of authors, coders, artists, and publishers. The entire moral framework for the technology export control regime rests on an intellectual property argument that the American labs themselves have not resolved domestically. That is not hypocrisy anyone in the industry wants to discuss because the moment you acknowledge it, the legal and regulatory exposure scales to every company simultaneously. Musk is weaponizing it selectively. Anthropic is deflecting it selectively the way I see this. And the actual creators whose work built every one of these models are watching billionaires argue about who stole from them more ethically.