Building the Family OS @ https://xitter.cf/t.co/hTQtc5cmrn | Co-Founder @ AI Idea Lab | Exited EdTech founder | Dad of 2 | #GenerationAI 🎙️

North Carolina, USA
Joined November 2007
Every family has someone who remembers everything. The school emails. The pickups. What the babysitter needs to know. What would it look like if AI helped the whole family carry that load? Today we’re launching Andi: family-friendly AI for parents, kids, and caregivers. Andi brings your family’s context into everyday conversations: - Family memory that builds on the routines, preferences, and plans you share. - Help making plans, setting reminders, and working through scheduling conflicts. - Age-appropriate guidance for kids exploring questions, interests, and homework. - Care Share, so grandparents and babysitters can get the details they need for a handoff. - Parent controls for family values, topic preferences, and visibility into their kids’ AI experience. A parent planning tomorrow, a child working through homework, and a grandparent handling pickup need different kinds of help. They also need context about the same family. That’s what we’re building with Andi. We call it Family Intelligence. We started imagining this a year ago in a Starbucks in Boston. Today, we’re proud to put it in families’ hands. Andi is available now for iPhone: andi.ai A few examples below 👇
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Kids are already bringing their questions to AI. Homework. Friendships. Whatever they’re curious about that day. We wanted an experience designed around their age, with a way for parents to stay involved. Andi helps kids work through questions and understand the next step. Parents can set family values and topic preferences, and choose visibility through conversation views, summaries, or safety signals. The experience can change as kids grow and become more independent.
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Think about everything you explain before leaving the kids with someone else. Pickup. Dinner. Bedtime. The little routines that make the evening easier. With Care Share, you choose the details to share and review the briefing before giving a caregiver access. You control who gets access and for how long. They can then ask Andi what they need to know. That’s the bigger idea: making family knowledge useful to the people helping, so one person doesn’t have to repeat every detail. Try Andi with your family: apple.co/4k6U5sx
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Ardis Kadiu retweeted
A retired NASA engineer who had worked on the Space Shuttle program for 25 years was hired by SpaceX at age 62. He described the first week as the most disorienting experience of his professional life. At NASA, a design change required 3 meetings, 2 committees, a review board, and 6 to 18 months of documentation. At SpaceX, his new supervisor said "if it works, build it. If it doesn't, change it by Friday." He sat at his desk after the first day and called his wife. He told her he felt like a man who had been swimming with ankle weights for 25 years and someone just cut them off. He could move. He could decide. He could build something in the morning and test it in the afternoon. The constraint that he had accepted as the nature of aerospace engineering turned out to be the nature of bureaucracy. Within 6 months he had contributed to more design iterations than he had completed in his last 5 years at NASA. Not because he was working harder. Because the time between having an idea and testing the idea collapsed from months to hours. The same brain. The same knowledge. A different operating system. He described a specific moment where he proposed a modification to a Raptor engine component. At NASA, the proposal would have entered a queue. At SpaceX, the modification was machined by the end of the day and tested by the following morning. He watched his idea become a physical object in 18 hours. At NASA, 18 hours would not have been enough to schedule the first meeting to discuss whether to schedule a meeting. He told an interviewer: "I didn't get smarter when I went to SpaceX. I got faster. The intelligence was always there. The system was in the way." The difference between SpaceX and NASA is not talent. NASA has extraordinary talent. The difference is the time between a thought and a test. SpaceX compresses it. NASA elongates it. The same engineer produces 10x more at SpaceX than at NASA because the bottleneck was never the engineer. It was the meetings about the meetings about the work.
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Chamath says IP and software were "effectively rendered worthless" this week, after people decompiled Adobe's core products and published open-source versions, as every service goes headless "The more important point I want to make though, is I sent this to Nick, there's been a couple things that happened in the last couple days, which I think are incredibly important." "There have been people that decompiled the entire, the entire big five. What is the big five? Adobe has five very, very important products in their product suite. Freeberg may know them all, but I just know Photoshop. There's like a bunch of others. Okay." "And these folks decompiled it, distilled it, and published open source versions of these things. And Rust, yeah. And I was so shocked, because I was like, hold on a second, these are like profound products that have existed and have had moats for years, and now they're just open source versions." "And then Nikita was, I think, trolling, and he was building on that idea, and just talking about GTA, because it's about to get released. I think GTA 6 is about to come out, and we'll reconstruct this." "Why is this important?" "I think that IP and software was effectively rendered worthless two days ago." "Because if you think about it, when everything is headless, so when Elon makes his services headless, Benioff made Salesforce headless a few months earlier, when all of these things are headless, and you can wrap them in agent tools, and you can connect them via MCP to other experiences, the value of IP does no longer exist in software. It doesn't exist." "And I think that probably is the most profound implication." "So, like, even in our business, we would argue with some of our customers all the time, because we'll say, oh, we'll build this for you, we'll own the IP. They'll say, no, we want the IP. We don't know how to negotiate it. And two days ago, I walked into the 8090 guys, I said, who cares? Who cares? But before, it was always a negotiation and a set of trade-offs. Now it's a who-cares thing, where, like, the IP is irrelevant." "It still takes a while for the machinery of a business, and frankly the market, to understand. But that is the most important thing that happened this week in AI, in my opinion."
David Sacks says Anthropic is run by a "religious cult" and is doing the very things it says it fears most, like opening a wet lab while warning of bio risk, and that there's an argument for sending in a federal SWAT team "But I do think that there are potential externalities from having the number one frontier model company run by a religious cult." "So, for example, they are opening a Claude-powered wet lab in the middle of San Francisco. But at the same time, they're warning of bio risk. At the same time, they say that we have to pace the frontier, they're extending the frontier. At the same time that they are saying that there's a risk of superintelligence growing beyond our control, they're programming it to grow beyond our control." "I think there are potentially huge externalities to the way they approach these things. And it's, like, insane that they call these decisions "safety." These are not safe decisions. These are crazy decisions, it seems to me." "This is why I've called this a schizophrenic company, is they appear to be not only hypocritical, but they're doing the things that they say they are most afraid of." "Like, what is going on here? This is bizarre. And I don't know where this all leads. I do think there's an argument for a federal SWAT team to come blasting in there."
Readers added context they thought people might want to know
The open-source Adobe alternatives were clean-room reimplementations built from scratch, not decompiled Adobe code. The project states they were built from public specs and observed behavior with no proprietary code or assets. notebookcheck.net/Photoshop-Prem… explainx.ai/blog/photocraf…
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Ardis Kadiu retweeted
Math, or any other field of science for that matter, does not exist, nor is it funded by citizens or taxpayers, simply to provide people with careers! Society has generously granted us scientists with prestige, status & resources in return for our responsibility to advance knowledge, contribute to humanity & move civilization forward. If AI or super-intelligence is able to do that better than our mission has been completed or we can now change our role to help steer it as long as we are able to add value. Unfortunately, academia has built ivory towers guarded by gatekeepers who have taken advantage of society’s generosity. Superintelligence is now challenging these gatekeepers and throwing the gates wide open. That is precisely why they are so upset.
NYU math professor Tristan Buckmaster says OpenAI’s Tuesday drop of 722 AI-generated math papers wiped out entire research programs: “This recent dump of papers on Tuesday destroyed the careers of early career mathematicians.”
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Ardis Kadiu retweeted
My best career advice: At every job you should either learn or earn. Either is fine. Both is best. But if it's neither, quit.
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Ardis Kadiu retweeted
🚨 side project alert 🚨 Announcing Muse Gadgets, an open source ESP32 firmware and Linux sdk so that you can make hardware devices that work with Muse. Grab an API token from gadgets.muse.ai and point your favorite coding agent at the github repo to build your own peripherals for Muse.
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This is great. Could not have a better use of AI (SI).
Chief Design Officer @jgebbia officially unveils America.gov, the new online home for the United States of America
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Ardis Kadiu retweeted
🌿KEEP OFF THE GRASS!
🤖 Made with AI
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Skills are the core of agentic systems. They are the system of record of how your company runs.
Introducing the Notion Skills API. Edit your team’s skills in Notion. Use them in ChatGPT, Claude, and all of your agents. Here’s what’s new:
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This is really cool. It makes sense that automation requires a separate type of model and can be done faster. I am not sure if this replaces the "reasoning" part but looks amazing for a lot of applications.
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
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That’s awesome.
JUST IN: NVIDIA's $12,930,300,000 acquisition of Hugging Face contains an easter egg. The number 129,303 is the decimal conversion of Unicode point U+1F917. The 🤗 emoji.
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Ardis Kadiu retweeted
The AI inside your business software no longer just offers to look things up for you. Salesforce updates the pipeline, Docusign redlines contacts, Workday runs HR and finance tasks. Incumbents are upgrading from retrieval to agentic action. a16z's Seema Amble says there's still room for startups to compete. No single record understands real work, because real work touches all systems a company runs on. Do the whole job better than anyone and you unlock a learning loop that compounds. "The incumbent may own the record and the lab may control the front door, but the vertical AI company can still win by becoming the best at doing the job itself." Full piece from @seema_amble on where AI-native startups still win: a16z.news/p/the-incumbents-a…
In the midst of the Claudeforce announcement and the debate around systems of record, focused AI native startups can win by leaning into their data asset, depth, learning loops, and ability to work across systems and parties
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Ardis Kadiu retweeted
I'm particularly excited by Atlas's ability to reconstruct scenes from a very small number of input image -- was able to create this flythrough of London's Natural History Museum by combining 3 input images I found from completely separate sources on Google Images
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As agents get better at using and navigating our clunky interfaces, we will see legacy app adoption increasing. It’s strange to thing that learning a software was the advantage you had pre AI.
ChatGPT Work can now use its computer and browser to sign in to websites on web and mobile, without ChatGPT ever seeing your username or password. That means you can ask it to: • Set up utilities for a new apartment • Book a DMV or passport appointment • Check reimbursement costs through your insurance • Find and book an in-network doctor around your availability • Check when your car registration expires and prepare the renewal paperwork • Compare your rental insurance policy with an issue you’re emailing your landlord about • Find and save apartment listings that match your criteria • Restock something just by uploading a photo • Schedule a package pickup for a return • Cancel tickets for a rescheduled trip • Book a vet appointment • Submit reimbursement paperwork for medical treatments • Check resale sites for new drops and save things you might like • Find candidates with specific experience and draft outreach • Take invoices from your email and submit them to your accounting software • Draft replies to rental property inquiries • Fill out permit applications for your small business • Add action items to a vendor portal based on a recent client call • Analyze the latest ad campaign for your small business
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Yep
Prediction: systems of record will need to become AI harnesses or face replacement by agents
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Should you use Codex, Claude, or ChatGPT? If I’m a business professional wondering TODAY whether to use ChatGPT or Claude or Claude Cowork or Claude Code or Codex, here is what AI I would use under different cost constraints: 1) If I have $500-$1000/mo to spare, I’d use Claude Code and Codex, I’d enable Claude Tag in every key Slack channel and use the hell out of it, make it extremely proactive, and I’d use Codex live voice mode every single morning and EOD 2) If I have $400/mo to spare, I’d use both Claude Code and Codex 2) If I have $200/mo, I’d use the Codex 20x plan 3) If I have $100/mo and I view tiny blockers as fun things to push past, I’d use the Codex 5x plan 4) If I have $100/mo and I view tiny blockers as utter hell, I’d use Claude Cowork 4) If I have $20/mo, I’d use Codex and ChatGPT and just focus on scheduled tasks Why Codex over Claude Code? - it’s more complete in features (ex: image gen and voice capabilities) - codex live voice mode is unbelievable - more token-efficient/your money goes farther - feels 2% easier to connect into other tools
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