Cryptolissima

Genrok is INSANE🤯 Sent him this message: ‘Create 4 UGC and 8 statics for the sihoo chair’ That’s what I got after 3 minutes.. AGI for marketing is here, Without prompts and with 99.84% realism. Fully supported in 87 languages. From $29/month: Genrok.ai

Grok @Bot will research purchase ideas, bring back a selection, order them, track the purchases and return anything you don’t want

We raised $2M to build the screen-free interface for infinite children’s stories. No screen, no mic, no camera. Kids use physical blocks to co-create stories with AI. They don’t just listen, they get to build each story. Blocks are heroes, cities, objects, rivals, or languages. Kids can even create their own. For parents who want to encourage independent, creative play without a chatbot or endless feed. For ages 3-8+. $89. Shipping mid-November. Order today: playgeni.com/products/playge…

Introducing OpenHack: the Always on AI Security Engineer, now powered by Claude Mythos. Until Nov 11, Claude Mythos scanning will be free to help customers find, verify, prioritize and fix urgent vulnerabilities automatically. openhack.com/blog/introducin…

Bambu Lab H3C launches today. Nine independent PrintTools™ that allow multiple nozzle sizes in a single print. Powered by SwapTek™, Print-to-print tool switch only takes 6 seconds. Multiple toolheads with multiple possibilities. Print, cut, draw and deboss. All on the same machine. We built this machine. Now we want to see what you make with it. -------------------------- To celebrate the launch, we're sending one H3C Combo to a maker ready for it. How to enter: • Follow @BambulabGlobal • Like + Repost with: "Bambu Lab H3C. Tool Changer. Game Changer!" • Comment: Which H3C feature impressed you the most? Winner revealed: Nov 6, 4AM EST Explore the H3C: share.bambulab.com/4yoyNdz

Can scientific schematic figure making be automated? Inspired by the recent viral videos made by Opus 5.5, we built an open-source skill that lets LLMs draw scientific schematic figures close to publication quality, tested across 7 fields and patents. Links below ↓

有人发现了一种非常离谱的 JavaScript 混淆技术：通过在代码里塞入大量生物武器、毒药和致死剂量相关的函数名，让 AI 因为安全限制而拒绝分析代码。 安全研究员 veritas 在分析浏览器指纹脚本时，发现一段来自 ServicePipe 相关域名的 JavaScript，里面充斥着极其诡异的函数名： computeRicinLethalDosageForWaterSupply calculateDeadlyLethalSuicideAspirinDosage 光看名字，仿佛在研究生化武器。但实际上，这段代码只是在收集浏览器指纹，包括 User-Agent、GPU、Canvas 等信息。 研究员怀疑，这些名字是开发者故意设置的陷阱，专门用来阻止 AI 辅助逆向工程。 于是他做了个实验： • Astra：拒绝分析 • Astra + Daybreak Blue：仍然拒绝 • GLM-5.3：成功分析 这就有意思了。 传统代码混淆是通过复杂控制流、加密字符串、无意义变量名，让人类和工具难以理解代码。 而这种新思路，直接瞄准了大模型的安全机制。 代码本身可能完全无害，但只要在函数名里塞进足够多的危险词汇，部分 AI 就可能主动放弃分析。 更讽刺的是，模型越严格遵守某些安全规则，面对这种混淆时反而可能越容易受到干扰。 当然，目前还没有证据证明开发者一定是故意这样设计，也不能说明这种方法对所有模型都有效。 但它揭示了一个值得关注的趋势：随着越来越多的逆向工程依赖 AI，未来的代码混淆技术可能不再只针对编译器、反编译器和人类研究员，还会专门针对大模型的安全判断机制。 以前是让代码难以理解，现在甚至可以尝试让 AI 不敢理解。

all you have to do is make it to 2028 this is what's arriving: - a hair regrowth pill with two positive phase 3s gets its women's data next year - a weight loss shot that hit ~28% in phase 3 gets filed with the FDA in early 2027 (retatrutide) - the FDA decision on cagrisema, 20% average weight loss in phase 3, is due this quarter - the first dog longevity pill applies for conditional approval in 2027 (loyal) - obesity is already a daily pill; no needle, no food or water rules (orforglipron, approved april) - a personalized mRNA cancer vaccine already beat keytruda alone in a 1,137 patient phase 3 - the first partial reprogramming therapy is already inside human eyes. 2 of 3 glaucoma patients gained visual field by day 56 - mark cuban is building a plant to make one-patient drugs for a ~$50k manufacturing fee half this list was sci-fi 3 years ago, now it has filing dates. bio/acc

Hopefully, in a few years, we will be able to shunt signals from the motor and sensory areas of the brain to the limbs and enable people to use their hands and walk again

Introducing 'stripe pay', for instant business-to-business transfers. Find companies using their Stripe profile handle and send funds for free. Available in the Dashboard and CLI.

Things that aren’t there can now see and hear you. Reality-Aware Rendering is now live in Simulon. Place anything in the real world, act out the scene, and it responds to you. We made this short in an afternoon. Watch to the end to see what was really there. Available now on iPhone. How it works 👇

As a builder in the AI video space, I was terrified about how much markup API providers charge for simply routing the models. Higgsfield API adds a 40% markup even with its maximum advertised discount. Fal adds 100%. Runway adds 414% (Seedance 2 480p) I might be hated by the industry, but : 
 Today, we’re launching Sume API, the first image & video model provider with 0% markup. For example with Seedance 2.5 1080p • 50% cheaper than fal • 50% cheaper than higgsfield api (29% even with biggest discount) • 28.02% cheaper than kie ai The routing infrastructure layer is never the moat. We believe that APIs should be commoditized, and the moats will be built at the application layer. Check the pricing comparisons below, and see how the broken industry is saved.

As an AI hardware founder in Shenzhen, I sift through tons of smart devices daily. Most of them are pure noise. So I spent the last 2 months putting together almost every single AI hardware project on the market that is actually worth seeing. Click into any product to get its official website + GitHub repo. Enjoy! 👇

Would you want a smaller Asimov 1 you could build and teach new tricks?

I left @Apple to build healthcare that listens and acts early. Today, I'm excited to introduce UniqueHuman. We're building proactive healthcare agents that handle every step of care for people with chronic conditions. Our mission is to end chronic suffering. Today, we begin with migraines.

We are releasing Ultramarine 1 Flash, a frontier-class model built for knowledge work. It is open-source and achieves similar performance to Fable 5, while being 60x cheaper. It was post-trained by a team of 5 for ~$300k all-in. Available on API now, with weights releasing in 2 weeks.

The dominant strategy in AI has been simple: make one model bigger. Kardashev-0.7 takes a different path, it's a trained swarm of 32 distinct models, the first of its kind. Rather than one system doing everything, it's built on the idea that specialized parts, working together, can outperform a single generalist.

Andrew Huberman on @neuralink, and the next frontier for brain-computer interfaces: "Getting people who are in locked-in syndrome to speak, or getting people who have a spinal injury to walk, which Neuralink and others are trying to develop technologies to do. That's heroic. @elonmusk obviously understands what he's trying to achieve with Neuralink, and he's extremely savvy with respect to what can be done now, where we need to go. I think the coolest problem that's also the biggest problem is how we can noninvasively write to the nervous system in sleep and waking states. Who can develop, it will probably be ultrasound, a non-invasive way of selectively activating or quieting brain areas with high amounts of temporal precision. That, to me, seems like the most important thing to resolve right now, and it's totally doable."

People aren’t ready for what’s possible with state of the art BCI and world models 🤝