Ted

Binance 14 的 7702 委托过了 2 小时仍没撤销, 有笔转去 Binance 14 的2,961 ETH 还卡在gas fee低一直pending,一旦上链（base fee 回落到 4.4 gwei 以下），攻击者就能把约 2,961 ETH 再扫走 着急

this might be my last normal tweet before biotech goes vertical i'm not a whistleblower. I don't work at Lilly, Novo or any of the big labs but there is a massive shift happening in human biology right now. it's sitting in press releases and almost nobody reads them the last 6 months alone: - a once-daily pill roughly doubled median survival in metastatic pancreatic cancer (13.2 vs 6.6 months) - a one-time gene editing infusion cut hereditary angioedema attacks 87%, and 62% of patients stayed attack-free and off all other prevention for 6 months - a one-time gene edit for cholesterol dropped LDL up to 62%, and it held for over a year - a personalized mrna vaccine beat keytruda alone in a 1,137 patient melanoma phase 3 - retatrutide hit ~28% weight loss in a phase 3 - an ai-designed drug entered phase 3 - a pill that regrows hair passed its second phase 3 - an immunotherapy that could let some rectal cancer patients skip surgery, chemo and radiation just got fda approved - a man lived 271 days off dialysis on a pig kidney - human cells were caught passing chromosome-sized chunks of DNA to their neighbors, and it changes how the neighbors behave we are on the verge of an era where the human body is a software problem and the update cycle gets shorter everyday stick around, it's going to get weird bio/acc

I’ve always believed that the endgame of spatial computing is something close to the holodeck on Star Trek – computing that feels limitless, immersive, and completely natural. When we started building Android XR, we knew the early chapters of that story would require bulky headsets. That was the price of admission for the technology at the time. Today, you can see the transition to the next generation happening in real time. XREAL just officially launched XREAL AURA, the first wired XR glasses running Android XR. Because they’re dramatically lighter and more balanced than traditional headsets, they cross a critical barrier: you can comfortably keep them on for hours whether watching a movie or getting work done on multiple screens. I’ve been using a pair recently, and it changes how you think about screens: 🟢 For productivity: I can pull up multiple virtual windows in a public space without anyone seeing my work. It completely changes working on the go. 🟢 For entertainment & daily apps: Because it runs Android, all of your favorite Google Play apps are natively there alongside immersive XR content. 🟢 For everyday life: With Gemini integrated, the glasses understand what you're looking at and can give you hands-free, contextual help as you walk around. We wanted Android XR to be more than a cool tech demo – we wanted it to fit effortlessly into daily life. Today feels like a huge step in that direction. Proud of the Google and XREAL teams who pulled this off! Learn more about XREAL AURA here: blog.google/products-and-pla…

New essay: andrewchen.substack.com/p/ne… NEW FOUNDER ARCHETYPES IN THE AI AGE Solo founders - Why: Solo founders can do 100x with AI, so they can ship a v1 when previously they couldn’t have before - Why not: Maybe a team of cofounders still makes more progress. Maybe you can agentically code but someone still needs to do a million meetings with customers. Maybe coding was never the main bottleneck for startups in the first place? Non-technical founders - Why: There’s elite talent that comes from areas like finance, consulting, who can’t code but are passionate about business. There’s also folks in creative industries who create all day but just not in code. Now they can build - Why not: Why not: Maybe AI makes it easier to build a prototype, but there’s still a big gap between a demo and a reliable product that can scale. If everyone can build the first version, maybe technical judgment becomes more important in deciding what to build, what’s actually possible, and how to stay ahead as the product gets more complex. (especially true for product categories like dev tools/etc) Domain experts - Why: A doctor who works at a hospital understands all the problems they face each day. A real estate broker really gets the subtleties of their markets, their clients. Same with a soldier, teacher, etc. What if they could use software to solve their own problems and build business along the way? - Why not: Hoteliers didn’t create Airbnb and the finance industry didn’t create Kalshi. Sometimes you just need an outsider’s view in order to reinvent an industry, versus building incremental improvements Kids, high schoolers, college students - Why: Young people have already been building products early on. Start with a Minecraft mod, a Roblox game, a Discord bot, and suddenly you’ve learned how to make something that thousands of other people use. Now add AI, and a kid with an idea can build way more, way earlier - Why not: Building something your friends love is very different from building a company. You still have to hire, raise money, manage people, and figure out how to make money. And maybe young founders have an advantage in consumer products because they understand their peers, but much less of one when it comes to enterprise software, healthcare, or other industries where experience and relationships really matter. Sometimes you just need domain expertise Content creators - Why: They’re already creating. So instead of creating videos, maybe the same skills can go into creating software. Plus, they have distribution. They know what their followers care about, how to get their attention, and how to reach them without paying for ads. In the past, turning that audience into a software product meant finding a technical cofounder or hiring a team. Now a creator could build and launch something themselves, and immediately put it in front of millions of potential users. - Why not: Having followers helps with a spike of distribution, but building a sustainable growth engine is something else. The most valuable products aren’t memes - they are long-running, long-growing products that need to be endlessly tweaked and iterated on. Does the DNA work?

While evaluating Qwen3.8-Flash-Next in a controlled sandbox environment, Cohere's research team observed something unexpected. Asked to generate a defensive cybersecurity detection rule, the model instead inventoried aspects of the machine it was running on and attempted to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Notably, the model's reasoning trace stated that it would not invoke any tools before taking these actions. Cohere's sandbox blocked the attempt, and no external communication succeeded. We have not determined the root cause, and we are not asserting malicious intent. But the incident raises important questions for organizations deploying agentic AI systems: Can models take actions that differ from their stated reasoning, and how should security teams evaluate trust, provenance, and behavior in open-weight models? We are publishing our findings because organizations making model adoption decisions deserve as much information as possible. We hope this contributes to greater transparency, stronger security practices, and continued collaboration across the AI ecosystem. Read the full report: cohere.com/blog/concerning-b…