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most exchanges ask you to trust them. @binance just publishes the numbers. back in 2022, proof of reserves (the famous P.O.R) launches. here is some data picked for every year: nov 2022: 475,000 bitcoin:native sept 2023: 588,000 bitcoin:native dec 2024: 580,111 bitcoin:native dec 2025: 617,620 bitcoin:native july 2026, latest snapshot: 640,000 bitcoin:native i’ll let you figure out for yourselves what you're seeing. published monthly, publicly, verifiable, for over four years straight. it comes from millions of users choosing, every month, to keep their bitcoin there. four years of receipt, year after year.

AI makes launching ideas easy, but keeping an edge is tough. 💡 A company’s true moat lies in intangible assets like data, workflows, and brand equity. Join global leaders to discuss how AI is rewriting innovation at Singapore IP Week 2026 (Aug 26-27):

Good news, everyone! We made it easy and free to convert your entire Airtable workspace to durable Markdown files that you own and can use offline. Obsidian Bases supports all your views, filters, and formulas. Your data is yours, take ownership of it.

NVIDIA is reportedly working on a feature that could let future GeForce GPUs use an SSD as extra VRAM. When a graphics card runs out of VRAM, it could use data stored on a fast NVMe SSD instead. Your SSD won’t be as fast as real VRAM, but it could help when a game or AI app needs more memory than your graphics card has. That could mean fewer stutters and better performance in some situations. The feature is reportedly based on RTX IO and Microsoft’s DirectStorage technology.

Before answering one cross-database business question, how much platform rebuilding should a team finish first? This real lineage view tracks 17 nodes and 15 dependencies from two database paths to one ranked result.

DeepSeek-V4-Flash-0731 is Ollama's fastest growing model ever in token usage. We are scaling capacity in US & Europe. On Ollama, this model runs with high performance (100tps+) and zero data retention. Your data stays yours. ollama run deepseek-v4-flash:0731-cloud

Hot take… isn’t it kinda crazy that nobody is really using AI Agents? I don’t mean software engineers or AI early adopters. I mean “college friends talking about it in group chat,” the feeling you got when everyone started using Instagram or TikTok. These frontier AI models are *insane* (as are the harnesses & tool calls & the like). And every large tech co has an AI agents platform, not to mention all the YC startups doing vertical agents. Yet all of your friends and family outside of tech — who spend all day staring at their iPhones and get paid to work in browser tabs — don’t really care or find themselves using any AI agents yet. Yes ChatGPT, Claude, etc. are extremely popular… but if you look at the engagement data the vast majority of people are still using these aI chat tools like a glorified Google + Grammarly. That’s why the AGI labs are all pushing desktop apps for Codex, Cowork, etc. so hard to non-technical ppl. And yes exceptions for lawyers and customer service but even those have some asterisks and exceptions to rule. Look I’m not saying the ChatGPT moment for AI Agents is not coming… it most definitely is! Remember we pivoted from Arc to Dia precisely because we believe computing is going to be radically reimagined around these AI primitives. No doubt. But that’s my point: it’s just so surprising it hasn’t happened yet because all of the tech you’d need is there. Again if you stop for a second and think about it… for all the press and money and hype and models and crazy ARR numbers… this “AI Agent” moment does not *feel* like the other breakthrough tech moments we’ve lived through (e.g. think the shift to Stories via Snapchat & Instagram, or shift to on-demand via Uber/Airbnb/Doordash). Which is a long way of saying: if you can figure out the answer to “why” most people don’t care about AI agents yet (and have no enduring interest in using them) — especially since the models and harnesses are here and ready — the answer to that question will allow you to capture a lot of marketshare and make a lot of money in 2027. Theoretically, the tech is ready for AI Agents to totally transform how we work and live our lives… but alas the general public dgaf… that’s the generational puzzle to solve for the next 12 months for anyone not working on the models themselves.

SpaceX is partnering with @Nvidia to design the Starmind AI1 satellite compute payload. Each of the Starmind satellites will include NVIDIA Rubin GPUs and Vera CPUs for datacenter class space compute →

靠，刚得知我一个做 data engineering 的朋友，他们公司每个星期给的 AI Token 费用是 2000美刀 他们组居然有人还每周都能用完，我看着我的 20刀 Claude 天天等重置，伤心丢进太平洋了