👩🏻‍💻 JustAskPenny

7.6K posts

👩🏻‍💻 JustAskPenny banner
👩🏻‍💻 JustAskPenny

👩🏻‍💻 JustAskPenny

@Justaskpenny

👩🏻‍💻@TheTechDiplomat |🔮⚖️📡🛰️⚡️ CISO preparing for AI Singularity 🤖Telco 🛡️Cyber security 🪙 Payments⛓️DLT Protocol Native🖖Human🕊️AI4Good

TheSingularity Katılım Ekim 2018
5.5K Takip Edilen876 Takipçiler
👩🏻‍💻 JustAskPenny
🚁
Ole Lehmann@itsolelehmann

This is how your next Chipotle burrito, online package, and medical prescription will be delivered. And it might be my favorite company in all of robotics right now. Zipline has done over 2 million autonomous drone deliveries to date. That's more than every other drone delivery company on Earth combined. For reference, Alphabet's Wing has done about 500,000. So obviously the first question is: how did a 10-year-old company outscale Google at autonomous drone delivery? The answer is one of the smartest strategic bets I've seen in tech. Most drone delivery companies started by trying to drop pizzas in American suburbs. Because low stakes, easy customers, friendly weather, etc. Zipline went the opposite direction. They started in rural Rwanda, flying emergency blood to remote clinics where deliveries by truck could otherwise take 3+ hours. It looked like a terrible idea in 2016. But it turned out to be the smartest decision any drone company has ever made. Because if you can build a system reliable enough to deliver blood to a dying patient in a monsoon in a 3rd world country... Then delivering a Chipotle order to a suburban backyard becomes trivial. The hardest use case became the moat. Every single one of those flights made their system smarter, faster, and more reliable. That compounded. Hard. The result, 10 years in, is a lead that's basically structural: > 2 million deliveries done > 5,000 hospitals served across multiple countries The first million deliveries took them 7 years. The second million took less than 2. US deliveries growing 15% week-over-week for 7 straight months. Now they're coming for everything. And the tech they've built to pull it off is genuinely science fiction. Their newest drone, called the "Zip," hovers a few hundred feet up while a smaller "Droid" gets lowered on a tether. The Droid uses tiny thrusters to position itself precisely over a target zone the size of a picnic table. It drops the cargo, then gets winched back up into the Zip. And the whole thing is so quiet that customers couldn't tell when their order had arrived. So Zipline literally had to add an audible beep on approach. The Zip then flies to one of Zipline's autonomous charging stations, which look like streetlamps with an arm and a disc. As Zipline rolls these out across cities, the coverage compounds automatically. And the system uses 97% less energy than a gas-powered delivery truck. Which makes obvious sense when you think about it. A delivery truck weighs 3,000 pounds. The average package weighs under 5. And the scale of what they're building toward is much bigger than just food delivery. In November 2025, the US State Department signed a $150 million contract with Zipline to expand drone delivery across Africa. It's the first pay-for-performance contract the State Department has ever signed, anywhere. At full scale, the deal will triple the hospitals Zipline serves and give 130 million people instant access to blood and essential medicine. In the US, partnerships are stacking up fast: Walmart, Chipotle, sweetgreen, Panera, Cleveland Clinic, Mayo Clinic. They're already in Dallas and Arkansas, expanding to Houston and Phoenix this year, with at least 4 more states by year end. And a June 2025 Executive Order on drones gave them operating rights across all 50 states. The regulatory groundwork for nationwide deployment is basically done. Their ultimate vision: Every package under 8 pounds (food, medicine, household items) delivered by silent autonomous drones in 3 minutes instead of 3 days. A network of streetlamp-sized charging stations across every city, with drones flying between them based on real-time demand. In rural areas, every remote clinic gets the same access to medicine as a hospital in a capital city. In American suburbs, your Chipotle order arrives from the sky in 3 minutes. In Zipline founder @Keller's own words: "It's very obvious that whoever succeeds will be one of the largest companies on Earth. Bigger than UPS and FedEx combined." And the insane part is that this isn't a 5 or 10-year prediction. It's already happening at scale, in cities you can actually visit, today. This is the infrastructure of the future being built right now, by a company most people in tech still couldn't tell you the name of. Oh yeah, and they just closed an $800M Series H at a $7.6B valuation. Gud tech.

ART
0
0
0
3
👩🏻‍💻 JustAskPenny
🤖🕳️Anthropic MCP creates tunnel via tunnel.anthropic.com → your agent reaches your internal server without hitting public network Self-hosted sandboxes (public beta) + MCP tunnels (research preview) = Claude Managed Agents that run on your infrastructure. 👇
Claude@claudeai

Live from Code with Claude London: we're launching self-hosted sandboxes (public beta) and MCP tunnels (research preview) in Claude Managed Agents. Run agents inside your own perimeter, with your security controls applied by default.

English
0
0
0
74
👩🏻‍💻 JustAskPenny
🛢️⛽️🔬
ScienceFocus@ScienceFocusonX

Japan just turned thin air into fuel. No oil rigs. No drilling. No pipelines stretching across oceans. Just water, CO₂, and a process that flips combustion on its head. ENEOS Corporation, Japan's biggest oil refiner, pulled it off at their Yokohama lab. They built a demo plant that sucks carbon dioxide straight from the atmosphere, splits hydrogen out of water using renewable energy, then fuses them through Fischer-Tropsch synthesis into liquid hydrocarbons. The result? Real, usable synthetic petroleum. The kicker: this fuel is "drop-in ready." That means it works in the cars you already drive, the planes already in the sky, the pipelines already in the ground. Zero modifications. They didn't just brew it in a beaker either. They ran actual vehicles on it. It works. Think about what that unlocks. Countries with no oil reserves could manufacture their own fuel using nothing but sunlight, wind, and the air around them. The geopolitical chessboard would flip overnight. Sectors that electrification can't easily touch, like aviation and heavy shipping, suddenly have a clean fuel path. There's a catch, though. The process is hungry. The same electricity it takes to brew one liter of synthetic fuel could push an EV about 200 km down the road. ENEOS quietly shelved the project in 2025 because the economics didn't math out yet. But the science? Proven. The blueprint exists. Someone, somewhere, will crack the cost problem. And the day they do, the oil map of the planet gets redrawn. Source: ENEOS Corporation / TheTownHall(.)News

ART
0
0
0
14
Tyler Green
Tyler Green@GreenTyler27·
“Property always goes up” has broken many times throughout our collective history. Japan, Ireland, Spain. The US in 2008 and now China on a massive scale. The fallout for Australia is potentially very serious if China’s property contraction becomes a long-duration stagnation rather than a short recession. China’s property sector historically consumed enormous amounts of steel, cement, copper and energy. Australia effectively rode that boom for 20 years through iron ore, coal and LNG exports. When Chinese apartment construction slows the Australian national economy eventually feels it.
Tyler Green tweet media
English
3
5
35
1.4K
👩🏻‍💻 JustAskPenny
Outsource list to AI to review, test etc.. 🤖👀
Nav Toor@heynavtoor

Here are 10 GitHub repos that quietly print money while you sleep. 1. Cal. com Open-source Calendly. Fork it, white-label it, sell to dentists and lawyers for $200/month. The founders hit $5M ARR in 3 years doing exactly this. Repo → github.com/calcom/cal.com 2. Plausible Analytics Privacy-first Google Analytics. Self-host it, resell to agencies for $50/month per client. Two founders bootstrapped this to 7 figures. Repo → github.com/plausible/anal… 3. Ghost Open-source Substack with 100% margin. 1,000 readers at $5/month equals $60,000 a year. Forever. Repo → github.com/TryGhost/Ghost 4. n8n Open-source Zapier. Sell automation services for $500-$2,000 per setup. n8n raised $14M because the agency model behind it works. Repo → github.com/n8n-io/n8n 5. Supabase Free Firebase replacement. Build a SaaS in a weekend, charge $29-$99/month. They raised $116M for a reason. Repo → github.com/supabase/supab… 6. Medusa Open-source Shopify. Take 5% on every sale forever. Zero rev share to Shopify. Repo → github.com/medusajs/medusa 7. AppFlowy Open-source Notion. Sell self-hosted to enterprises worried about data privacy. They raised $30M because this market is massive. Repo → github.com/AppFlowy-IO/Ap… 8. Coolify Open-source Vercel and Heroku. Charge developers $20/month to manage their deployments. Replace their $200 Vercel bill. Repo → github.com/coollabsio/coo… 9. Listmonk Open-source Mailchimp. Send unlimited emails for the cost of an AWS bill. Resell to agencies at 10x markup. Repo → github.com/knadh/listmonk 10. Penpot Open-source Figma. Sell self-hosted design tools to agencies who refuse to upload client files to the cloud. Repo → github.com/penpot/penpot The difference between developers who build features and developers who build businesses is one decision. Pick one of these. Fork it this weekend. Ship it next week. The founders behind these repos already proved the model. Save this. Share it with the developer in your life who deserves to break free. 100% free. 100% open source.

Français
0
0
1
38
Evan Luthra
Evan Luthra@EvanLuthra·
🚨APPLE SPENT 5 YEARS AND BILLIONS OF DOLLARS BUILDING THE MOST ADVANCED SECURITY SYSTEM IN CONSUMER HISTORY.. AN AI BROKE IT IN 5 DAYS.. Here’s what just happened.. Apple built something called Memory Integrity Enforcement for its new M5 chips.. It’s a hardware-level security system that attaches secret cryptographic tags to every piece of memory.. If a hacker tries to access memory they shouldn’t.. The chip blocks it instantly.. Every known exploit chain against iOS and macOS was rendered obsolete overnight.. Apple said so themselves.. Then a small team at a cybersecurity firm called Calif used Anthropic’s unreleased Claude Mythos Preview to find vulnerabilities in the macOS kernel.. The AI found the bugs almost instantly.. Because once it learned the pattern of a specific type of flaw.. It could recognize every other flaw in that same class across the entire codebase.. What used to take elite security teams months.. The AI did in hours.. Within 5 days.. The team had a fully working exploit that escalated a basic user account to full root access on an M5 Mac running the latest macOS.. With MIE fully enabled.. The billion-dollar hardware defense running at full strength.. The trick.. They didn’t fight the hardware.. They went around it.. MIE is designed to catch memory corruption.. Hackers trying to overwrite pointers or inject code.. The team used a “data-only” approach instead.. They manipulated legitimate data structures the hardware was never designed to monitor.. Like changing an internal flag from “standard user” to “admin”.. The chip saw a perfectly normal operation.. The operating system obeyed.. And the attacker had total control.. The hardware thought everything was fine.. Because technically it was.. The exploit never triggered a single tag mismatch.. They walked into Apple Park and hand-delivered a 55-page report.. Apple patched it in macOS 26.5.. And for the first time ever.. Apple’s official security advisory credited the vulnerability discovery to “Calif dot io in collaboration with Claude and Anthropic Research”.. An AI is now credited in Apple’s CVE patches.. But here’s what makes this story truly terrifying.. Before MIE existed.. An exploit kit called DarkSword was hitting iPhones with zero-click attacks.. Six vulnerabilities chained together.. Total device control just from visiting a webpage.. Deployed by Russian espionage groups, Turkish surveillance vendors, and actors in Saudi Arabia.. Then it got leaked on GitHub.. Nation-state capabilities.. Free for anyone.. MIE was supposed to make all of that impossible.. And an AI found a way around it in 5 days.. The previous model.. Claude Opus 4.6.. Found 22 security bugs in the Firefox codebase.. Claude Mythos Preview found 271 in the same environment.. A tenfold increase.. Linux kernel CVEs jumped from 300 per year to over 5,500.. Largely driven by AI-powered vulnerability research.. The IMF designated Claude Mythos as a systemic financial stability risk.. Because if an AI finds a flaw in software used by every major bank simultaneously.. It could trigger a cascading financial crisis.. Anthropic knew this was coming.. That’s why they didn’t release the model publicly.. Instead they launched Project Glasswing.. Giving defensive access to AWS, Apple, Google, Microsoft, Nvidia, CrowdStrike, JPMorgan, and others.. $100 million in usage credits.. So defenders can scan their own systems before attackers get this capability.. The Pentagon blacklisted Anthropic over autonomous weapons.. Then quietly started using Mythos to harden government systems anyway.. The cybersecurity arms race just changed permanently.. Hardware can’t save you.. Software can’t save you.. The only defense against an AI that finds vulnerabilities is another AI that finds them first.. Five years and billions of dollars.. Five days and one AI.
Evan Luthra tweet media
English
60
98
480
90.5K
👩🏻‍💻 JustAskPenny
👩🏻‍💻 JustAskPenny@Justaskpenny·
🤖🤖🤖🤖🤖🤖🤖🤖🤖🤖
Ole Lehmann@itsolelehmann

Am I missing something?? I just found out Unitree is about to IPO in China at just a $7B valuation. This seems dirt cheap. For context, they are literally the only profitable humanoid robotics company on earth right now. And this will be the largest humanoid robotics IPO ever attempted. Look at their actual business: > 5,500 humanoid robots shipped last year > $235M in revenue (+335% YoY) > $90M in profit (+674% YoY) This is the first time anyone in humanoid robotics has been profitable at this scale. Now compare that with the rest of the humanoid field... UBTech ran the world's first humanoid IPO back in 2023 on the Hong Kong exchange. It trades at $7.1B (just above the market cap Unitree is filing at). Difference is UBTech shipped 1,079 humanoids and lost $100M last year. Unitree shipped 5,500 and made $90M. Boston Dynamics has been around 30+ years without turning a profit. Tesla Optimus is prototype-only. 1X and Agility Robotics are both still pre-profit. Figure AI, the most-funded American humanoid company, raised at a $39B valuation last year. And they're still pre-revenue. And Unitree filed at $7B with $90M+ in actual profit. The profitable Chinese leader is being priced at less than one-fifth of an unprofitable American competitor. And on top of all that...Western humanoids are still trying to break $30K per unit. Unitree's cheapest humanoid retails for $4,290. So yeah $7B seems dirt cheap. But I guess we'll find out soon.

0
0
0
22