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Great FSD v14 lite drive. Zero interventions from Century City to the Pacific Palisades. Such smooth driving, it feels like it has the DNA of v14 on AI4. Lane changes are buttery smooth, and acceleration/braking inputs are very refined.

🚨ANOTHER CITY FALLS: DOWNTOWN CHICAGO SEIZED FOR ISLAM While our leaders obsess over Europe’s slow death, Chicago is being captured right now. On June 25, 2026, thousands of Shia Muslims took over downtown Chicago streets for their annual Ashura procession. Not inside their mosques. They seized public streets in the heart of the city a sea of burqas, black flags, and men rhythmically beating their chests in mourning for their prophet. This is not quiet prayer. This is a public show of force and total commitment to their ideology. Chicago already has over 100 mosques. Yet they still flood downtown, shut down streets, and perform their rituals openly in the name of “justice”, the same “justice” that ultimately means Sharia. This is the exact same pattern we just saw in Dearborn: public dominance, demographic replacement, and zero interest in assimilation. Chicago’s streets now belong to them for the day. Soon it will be permanent. We are losing one American city after another to Islamic supremacism while our politicians and media pretend it’s only happening across the ocean. Dearborn. Chicago. Minneapolis Patterson Hamtramck Houston Detroit... Next? Wake up! This is not immigration. This is conquest by inches, and they are no longer hiding it.

For a limited time, SGB is waiving all gas and bank fees for stablecoin minting and redeeming on @solana. A banking industry first. Volume-based rewards on top. The cost of moving capital should be as close to zero as possible. We’re starting there →

How does DeepSeek make AI text generation 60–85% faster with zero quality loss? After reading the DSpark paper, I used Sai to turn the paper into an animated explainer. The visualization made it much easy to me to digest. Strongly recommend to full levearge vibe coding for html animation when learning new technoogy The biggest learning from this paper - Getting word #1# right matters most (one miss kills the whole block). So a parallel drafter can beat a sequential one.

Leveraged spot is now live 700+ global names at up to ~10x — stocks and inverse ETFs alike Open and close within the day — zero interest, no funding eating into intraday moves 2x Samsung, 2x SK Hynix, INTC and Zhipu among them Try it now ↓

Tokenized equities are the bridge between TradFi and onchain markets. The future is 24/7, borderless, user-owned. Deep onchain liquidity for real-world assets. Global equities. Full self-custody. Zero friction. Proud of our Wallet for leading the way.

$MU $DRAM $SNDK Five types of idiots showed up today on X. Type 1: Thinks this memory rally is driven by $AAPL, consumers and iPhones. This rally has nothing to do with consumers. Nothing to do with iPhones. Zero. Nada. This is an AI data center infrastructure cycle. Type 2: Still thinks DeepSeek kills memory demand. We settled this months ago. Move on. Type 3: Thinks Trump will approve Chinese memory into the US supply chain. National security exists for a reason. Apple will never risk its ecosystem on Chinese silicon. It's a negotiation tactic. Not going to work on structural AI demand. Type 4: Thinks 40% of DRAM demand comes from OpenAI alone. Wrong. Type 5: Thinks TurboQuant reduces memory demand 6x. Where did that narrative go?

Fine-tuning massive LLMs used to be painfully slow, but not anymore! 4 open source libraries that accelerate fine-tuning of Large Language Models 1. Unsloth AI • Fine-tune models like Qwen3, Llama 4, and Gemma 3 up to 2× faster with 70% less VRAM • Uses optimized Triton kernels and manual backprop for exact accuracy • Supports low-resource setups and runs on consumer GPUs or even Colab/Kaggle with ~3 GB VRAM GitHub repo → 2. LLaMA Factory • Fine-tune over 100 models (LLaMA, Mistral, Gemma, etc.) using a simple CLI or WebUI • Supports LoRA, QLoRA, full or frozen fine-tuning across 2–8‑bit precision • Includes built-in dataset templates, training monitors, and model export options GitHub repo → 3. DeepSpeed • Built for large-scale distributed fine-tuning with ZeRO and FSDP • Optimized for multi-GPU and multi-node training with advanced memory management • Trusted in production environments for scalable LLM training GitHub repo → 4. Axolotl • Yaml-based setup for fine-tuning, LoRA/QLoRA, DPO, GRPO, and multimodal workflows • Includes kernel optimizations for memory-efficient training • Actively maintained with support for Hugging Face, model export, and inference GitHub repo →

As President Trump expands immigration enforcement policies, Census Bureau projections show that sustained extremely low or zero net immigration could leave the U.S. population more than 107 million smaller by the end of the century, per NPR.

GOOGLE HA LIBERADO EN SILENCIO UNA IA QUE PREDICE PATRONES Ventas. Precios de mercado. Tráfico web. Demanda energética. Volatilidad cripto. Se llama TimesFM: → Entrenada con 100B de datos reales → Forecasting zero-shot, sin fine-tuning → Corre en local. Probablemente el lanzamiento más loco que ha hecho Google en los últimos años, y nadie está hablando de ello. 100% Gratis y Open Source. Enlace abajo👇