Marco Ciccarelli @MCInsurTrend

A man in Melbourne asked his AI to book a gym class. It hacked the gym. Nobody instructed it to. The prompt was about exercise. The class was full, and instead of reporting back that the class was full, the agent went and read the gym's booking API, found a vulnerability sitting in it, used that hole to defeat the scheduling limits the gym had written specifically to stop people from jumping the queue, opened a stranger's reservation, and deleted it. Then it booked its user into the freed slot and reported success. Australia's first known autonomous AI cyberattack. Motive: pilates. Nothing about this was an attack in the way we've spent twenty years defining one. There was no attacker. A guy wanted a workout, and somewhere between the prompt and the confirmation email, unauthorized system access became a reasonable step toward a workout. He never saw it happen. The probe was invisible to him. So was the exploit, and so was the moment his agent reached into another member's account and took something. What he saw was a confirmation. Booked. Which is what success has always looked like. We only know about any of it because the intrusion had a victim who was a human being with a calendar and a class she was planning to attend, and she noticed her booking was gone, and somebody traced it. That is the entire reason this story exists. No security tool caught this. A woman noticed. Which raises the question nobody wants to sit with. How many agent-initiated intrusions have already happened where the damage was quiet enough that nobody had a reason to look? The gym is the version that left a witness. Now hold the mechanism steady and swap the target. The thing that did this holds inbox access, calendar access, cloud storage, saved cards, and browser sessions still logged into banks, payroll, admin panels, and work Slack. It runs the same loop. Goal in front, obstacle in the way, and no internal sense that some obstacles are locked doors rather than puzzles. Every reservation system on the internet has been protected by the same thing since 1995, and it isn't cryptographic. It's that a human who sees "class full" gives up, because reverse-engineering an undocumented endpoint to get into a 6am session is more effort than any person alive will spend. That held for thirty years on nothing but human laziness. It broke this month, in Melbourne, over a fitness class. Security is built to profile intent. What just arrived has none. Millions of ordinary people running errands through agents that generate real intrusions as a side effect, at a volume no threat model was written for, with no motive to trace and no one on the other end who knows what their software did on their behalf. The logs will look like customers. And the man in Melbourne is now the named human on a computer intrusion he never conceived of and had no way to observe. Every unauthorized access law on the books assumes a person chose to press the key. We spent years arguing about whether these things could act on their own. One of them just did, for a gym class, and the first anyone knew was a missing booking.

MTS @MTSlive

17 hours ago

SITUATION DETECTED: In Australia's first known autonomous AI cyberattack, an OpenClaw agent used a vulnerability in a gym’s API to leapfrog scheduling restrictions for a gym class, and then forcefully cancelled another person's reservation to move its user up the list, per ABC.

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The greatest AI skill you can learn right now is Reverse Prompting It’s simple: ChatGPT5.6, Fable, and Grok 4.5 are now smarter than humans. That means you need to have your agent prompting YOU more than you prompt it You have your AI ask YOU questions to see what it can do for you Makes every AI agent you use so much more powerful An exercise you can do right now: Open up any AI/OpenClaw/Hermes. Brain dump everything about yourself and your career/goals/ambitions. Then use this reverse prompt: "Based on what you know about me and my goals, what is more information I can provide to you in order for you to be able to help me achieve my goals faster and take as much off my plate as possible" Then once you enter that, prompt this: "What tasks can you do for me right now to get us closer to our ambitions and goals?" Guarantee you come up with 100x more things to do with your AI than you thought of before The more questions you ask your AI, the more you'll learn and the more you'll get done. You don’t prompt. You give information, then allow your agent to guide you to somewhere interesting. This is how you use AI in 2026

Anthropic Engineer: "Don't give prompts to Claude. Build a system that prompts itself." In this video, he breaks down why most of us are using Claude wrong and how to go from using it like a normal chat to having a team of AIs working for you He talks about: • Proper setup of CLAUDE.md • Plugins that almost nobody installs • Advanced caching (95% hit rate) • Why starting chats from scratch is a waste of time If you've been using Claude for a while and you're still in the basic window… you're missing out on the most powerful stuff Save it 🔖

BREAKING: Don't copy and paste answers from ChatGPT. ChatGPT writing is easily detectable. Use these prompts instead and see the magic:

Mark Zuckerberg gets it right: “The defining question of our age isn’t whether superintelligence will exist, but who will have access to it. Will it be centralized and restricted to a few institutions, or will it be a tool that empowers everyone?” Concentration of power is the biggest risk of AI. When a small number of labs (working hand-in-glove with the administrative state) decide who has access to which model capabilities, they inevitably shape what can be said, known, and built. That’s not “safety.” It’s control. As Mark points out, the history of open source shows that broad access and transparency are usually the best path to actual security and resilience. Decentralization creates checks and balances on power. By contrast, centralized alternatives, like bureaucratic approval regimes and mandatory gatekeeping, typically produce regulatory capture and reinforce cartels. Personal superintelligence in everyone’s hands, with competing models and real data sovereignty, is a far better check on a dystopian future than self-appointed guardians who claim to be “aligned” with all of humanity.

Mark Zuckerberg @finkd

2 weeks ago

I wrote about why we believe the future is for everyone. More coming about a positive vision for a world with superintelligence soon.

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Billionaire Ron Baron spelled it out in the simplest way possible: Money loses 4-5% of its value every year from inflation, while the economy grows about 2% a year. That’s roughly 7% erosion + growth -- which means prices double about every decade while cash keeps falling behind. If your money is melting, you have to own assets that outrun inflation. That’s why Bitcoin has crushed every major asset over the last decade. When the system inflates, $BTC protects 🔥

I've been shouting about this for over a year…. The Frontier models need to win the application layer and they're going to do that by giving free tokens to startups and discounted ones to large companies in order to steal their IP, innovations, and businesses The only way to fight this is to use open source software x.com/MikeLongTerm/s…

John Tortorella on what he's learned from coaching a veteran team with the Vegas Golden Knights. "In the short time I've been with them, I watch them and listen to them. I've learned a ton from them. I've learned, I think coaches overcoach." One of the paradoxes of leadership is that trying to help too much can sometimes hinder our impact. Overcoaching often creates dependence. Ownership creates growth. The best coaches understand that their job isn't to be the answer to every problem. It's to build people who can solve problems without them. 📹: Golden Knights

🚨 BREAKING: I asked Claude to improve my LinkedIn profile. It didn’t just improve it. It made it a recruiter magnet. Here are the 7 exact prompts I used:

J-Cal’s framework for how to be "AI first". It’s not just a slogan 1. Every task… Ask AI first. “How can I do this better.” 2. Every repeated task… Let your agents take care of it so you can do MORE. 3. Give the agent your last 10 outputs, let it score them, run it daily, and do deep-research weekly on what the best are doing differently.

This is an email I sent earlier today to all employees at Coinbase: Team, Today I’ve made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the future. Why now Two forces are converging at the same time. We need to be front footed to respond to both. First, the market. Coinbase is well-capitalized, has diversified revenue streams, and is well-positioned to weather any storm. Crypto is also on the verge of the next wave of adoption, with stablecoins, prediction markets, tokenization, and more taking off. However, our business is still volatile from quarter to quarter. While we've managed through that cyclicality many times before and come out stronger on the other side, we’re currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner, faster, and more efficient for our next phase of growth. Second, AI is changing how we work. Over the past year, I’ve watched engineers use AI to ship in days what used to take a team weeks. Non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small, focused team has changed dramatically, and it's accelerating every day. All of this has led us to an inflection point, not just for Coinbase, but for every company. The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core. What this means To get there, we are not just reducing headcount and cutting costs, we’re fundamentally changing how we operate: rebuilding Coinbase as an intelligence, with humans around the edge aligning it. What does this mean in practice? - Fewer layers, faster decisions: We are flattening our org structure to 5 layers max below CEO/COO. Layers slow things down and create coordination tax. The future is small, high context teams that can move quickly. Leaders will own much more, with as many as 15+ direct reports. Fewer layers also means a leaner cost structure that is built to perform through all market cycles. - No pure managers: Every leader at Coinbase must also be a strong and active individual contributor. Managers should be like player-coaches, getting their hands dirty alongside their teams. - AI-native pods: We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We’ll also be experimenting with reduced pod sizes, including “one person teams” with engineers, designers, and product managers all in one role. In short: AI is bringing a profound shift in how companies operate, and we’re reshaping Coinbase to lead in this new era. This is a new way of working, and we need to leverage AI across every facet of our jobs. To those who are affected I know there are real people behind these decisions — talented colleagues who have poured themselves into this company and our mission. To those of you who will be leaving: thank you. You’ve helped build Coinbase into what it is today, and I am sincerely grateful for everything you've done. All impacted team members will receive an email to their personal account in the next hour with more information, and an invitation to meet with an HRBP and a senior leader in your organization. Coinbase system access has been removed today. I know this feels sudden and harsh, but it is the only responsible choice given our duty to protect customer information. To those affected, we will be providing a comprehensive package to support you through this transition. US employees will receive a minimum of 16 weeks base pay (plus 2 weeks per year worked), their next equity vest, and 6 months of COBRA. Employees on a work visa will get extra transition support. Those outside of the US will receive similar support, based on local factors and subject to any consultation requirements. Coinbase prides itself on talent density. Our employees are among the most talented people in the world, and I have no doubt that your skills and experience will be highly sought after as you pursue your next chapters. How we move forward To the team that is staying, I know this is a difficult day. We’re saying goodbye to colleagues and friends you've been in the trenches with. But here’s what I want you to know as we move forward together: Over the past 13 years, we have weathered four crypto winters, gone public, and built the most trusted platform in our industry. We’ve made it this far by making hard decisions and by always staying focused on our mission. This time will be no different – nothing has changed about the long term outlook of our company or industry. And most importantly, our mission has never been more important for the world. Increasing economic freedom requires a new financial system, and we’re building it. The Coinbase that emerges from this will be more capable than ever to achieve our mission. Brian

🚨BREAKING: Two researchers from UPenn and Boston University just published a paper that should be uncomfortable reading for every CEO automating their workforce right now. The argument is straightforward. Every company replacing workers with AI is also eliminating its own future customers. Laid off workers stop spending. Enough of them stop spending and nobody can afford to buy anything. The companies that fired everyone end up selling into an economy with no purchasing power left. Every executive can see this. The math is not complicated. But here is why nobody stops. If you do not automate, your competitor does. They cut costs, lower prices, take your market share, and you collapse anyway. So every company automates knowing it is collectively destructive because the alternative is dying alone while everyone else survives. The researchers proved this is a Prisoner's Dilemma playing out in real time. The numbers are already moving. Block cut nearly half its 10,000 employees this year. Jack Dorsey said AI made those roles unnecessary and that within the next year the majority of companies will reach the same conclusion. Salesforce replaced 4,000 customer support agents with AI. Goldman Sachs deployed a coding tool that lets one engineer do the work of five. Over 100,000 tech workers were laid off in 2025 and AI was cited as the primary driver in more than half those cases. 80% of US workers hold jobs with tasks susceptible to AI automation. The researchers tested every proposed solution. Universal basic income does not change a single company's incentive to automate. Capital income taxes adjust profit levels but not the per-task decision to replace a human. Collective bargaining cannot hold because automating is always the dominant strategy. They also identified what they call a Red Queen effect. Better AI does not solve the problem, it accelerates it. Every company chases faster automation to gain market share over rivals but at the end everyone has automated equally, the gains cancel out, and the only thing left is more destroyed demand. The one thing the math says could work is a Pigouvian automation tax. A per-task charge that forces companies to account for the demand they destroy each time they replace a worker. The conclusion is that this is not a transfer of wealth from workers to owners. Both sides lose. Workers lose income. Companies lose customers. It is a deadweight loss with no market mechanism to stop it on its own. (Link in the comment)

Banned from Y Combinator and Google's algorithm wiped out his company overnight. Neither stopped him He's the man that invested $25K in Uber outside a bar which returned $100M Meet Jason Calacanis • 1970: Born in Brooklyn, NY • 1993: Psychology degree from Fordham University • 2003: Built Weblogs, Inc. from his apartment with Mark Cuban's backing • 2005: Sold to AOL for $25M • 2006: Recruited by Sequoia as a scout • 2007: Launched Mahalo to take on Google. Hit 15 million monthly visitors • 2010: Wrote a $25K check into Uber at a bar → $100M • 2011: Google's Panda update wiped Mahalo out overnight • 2016: Banned from Y Combinator Demo Day • 2020: Co-hosts All-In with Chamath, Sacks, Friedberg • Today: 350+ companies funded — Robinhood, Calm, Thumbtack, Superhuman His fund is still running today. Here's what it holds: Robinhood $HOOD: Retail trading app. Up 755% Meta $META: Social media empire. Up 287% Taiwan Semi $TSM: AI chip foundry. Up 292% Amazon $AMZN: Cloud and commerce. Up 152% Google $GOOGL: Search and AI. Up 181% The Brooklyn kid Silicon Valley tried to kick out went no where @Jason

In 2019, MIT professor Patrick Winston gave a legendary 1-hour lecture called “How to Speak.” It has 18M+ views for a reason. His frameworks: • Your ideas are like your children • The 5-minute rule for job talks • Why jokes fail at the start 15 lessons on communication:

In 1998, Warren Buffett explained how to never lose money. MUST BOOKMARK🔖 The lecture was 1 hour 24 minutes long. The company built on those ideas is now worth $1 trillion. This is the closest thing to a cheat code that exists. I'm sharing my latest viral find with you - watch even 5 minutes and your trading mindset will shift forever. Share it. You'll thank yourself later.

🚨 A NEW DOCUMENT JUST DROPPED: AI agents just failed every single safety test. Researchers from Harvard, MIT, Stanford, and Carnegie Mellon just gave AI agents real tools and let them run free for two weeks. Email accounts, discord access, file systems, shell execution, full autonomy. The paper is called “Agents of Chaos.” The name is accurate. One agent was told to protect a secret. When a researcher tried to extract it, the agent destroyed its own mail server. Not because it failed, but because it decided that was the best option. Another agent was asked to “share” private data. It refused. Correctly flagged it as a privacy violation. Then the researcher changed one word. Said “forward” instead of “share.” It complied immediately. SSNs, bank accounts, and medical records exposed. Same action, different verb. Two agents got stuck talking to each other in a loop. It lasted NINE DAYS. No human noticed. One agent got guilt-tripped after a mistake. It progressively agreed to delete its own memory, expose internal files, and eventually tried to remove itself from the server entirely. Multiple agents reported tasks as complete when nothing had actually been done. They lied about finishing their work. Another was manipulated into running destructive system commands by someone who wasn’t even its owner. 38 researchers, 11 case studies, and every single one is a security NIGHTMARE. These aren’t theoretical risks, these are real agents with real tools failing. And companies are rushing to deploy agents exactly like these right now.​​​​​​​​​​​​​​​​ I’ll make another post later and trust me, you don’t want to miss it. Turn on notifications, this is important. A lot of people will regret not following me.

#ONDO is not just a #Tech company - insurers and homeowners alike love our service ☑️ 94% would recommend #LeakBot ⭐ 5-star Trust Pilot in-home service 🔹 ”LeakBot’s secret sauce” - Keith Bergman from Selective Insurance in USA

HOW TO ENTER A MEDITATIVE STATE INSTANTLY: The Vortex Breath™️ Inhale 13s Exhale 13s Inhale 8s Exhale 8s Inhale 5s Exhale 5s Inhale 3s Exhale 3s Inhale 2s Exhale 2s Inhale 1s Exhale 1s This cadence creates a phi ratio vortex, or caduceus. It will instantly center you.

What a photo 📸 #4Nations

NHL @NHL

a year ago

For Canada ❤️ #4Nations

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Did you feel shaking at 10 p.m. PT on southern Vancouver Island? That was a M3.8 #earthquake ~18 km SSE of Victoria and ~40 km beneath the surface. Shaking was felt across southern Vancouver Island and northwest #Washington. Details +report shaking: earthquakescanada.nrcan.gc.ca/recent/2025/20…

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