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A young learner speaks with Raku and can interrupt or redirect mid-thought. The same exchange turns those spoken ideas into a visual map or a story world as the talk continues. Raku carries an earlier interest or unfinished thread into the next question or mission. This is the loop... I have watched fail in most AI education tools. The model produces the finished sentence, the child copies it, and the thinking step disappears. Gakku keeps the learner inside that step. The interaction is the product. It requires the child to form the idea, question it, and revise it before any polished result appears. I have spent decades studying systems that amplify human judgment rather than substitute for it. The same principle shows up here in a form built for ages 6-16: real-time voice, persistent memory of what the learner already tried, and a refusal to complete the work. The child remains the author. Raku only holds the thread. Link:show more

Brian Roemmele

495,026 subscribers

46,449 次观看 • 19 天前 •via X (Twitter)

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13 条评论

Zoe 的头像

Zoe19 天前

If AI does all the thinking, what exactly is the student learning? That’s the question more education tools should be asking.

Claire Bennett 的头像

Claire Bennett19 天前

Making mistakes and working through confusion are part of the process. Removing all of that might make things easier, but not necessarily better.

Alex Mercer 的头像

Alex Mercer19 天前

Being able to interrupt, ask a random follow-up, or change direction mid-sentence sounds small, but that’s how real conversations work.

Victoria Blake 的头像

Victoria Blake19 天前

Remembering a kid’s interests could make the next lesson feel less like an assignment and more like something they actually want to explore.

Magna Ding 的头像

Magna Ding19 天前

Curiosity is hard to schedule. Tools that can follow a student's train of thought have a better chance of keeping that curiosity alive.

Arthur Penn 的头像

Arthur Penn19 天前

The challenge isn't making AI capable enough to do the homework. It's making it useful enough that students still want to do the thinking.

Jason C. 的头像

Jason C.19 天前

Completion rates are easy to measure. Whether a student can explain the idea in their own words is a much more meaningful test.

Cherry | Collab Manager 的头像

Cherry | Collab Manager19 天前

I hope more learning tools leave room for productive detours instead of treating every conversation like a task to complete.

Leo Ye 的头像

Leo Ye19 天前

The interesting part of persistent memory isn't remembering facts about a user. It's knowing where their thinking left off and helping them pick it back up.

Sean Wallace 的头像

Sean Wallace19 天前

Turning a conversation into a visual map or story world is interesting because it gives kids something to build on, not just something to look at.

Gakku.ai 的头像

Gakku.ai19 天前

Thanks @BrianRoemmele — really appreciate this perspective. The interaction is the product, and the child remains the author. AI should expand the learner’s thinking without taking ownership of it.

Caitlin Jiang 的头像

Caitlin Jiang19 天前

There's a real difference between explaining something clearly and helping someone understand it deeply. Good tutoring needs both, at the right time.

why 的头像

why19 天前

The continuity between conversations is the interesting part here. Carrying an unfinished thread forward could make learning feel much more personal.

相关视频

The biggest mistake in AI education is automating the part where the child learns. The questions. The wrong turns. The “wait, let me try again.” That’s the part gakku is built around. Gakku.ai helps kids aged 6-16 practice writing, speaking and thinking through live conversations with Raku, its AI learning companion. What interests me from a product-design perspective is what happens when the child changes their mind. Having small kids myself, I know this happens a lot. A learner can interrupt, revise an idea or make a choice on screen. Raku has to adapt while keeping the conversation, visuals and mission progress in sync. The interface becomes part of the thinking. Ideas take shape on screen, and the child’s choices shape what happens next. That’s a much more interesting design problem than generating a good reply. The system has to follow the learner’s intent, remember what came before and decide when to ask, act or wait. For me, the design challenge is knowing how much help to give. Too little and the child gets stuck. Too much and the system takes over the decisions they need to practice making. The child still has to explain, choose and revise. The interesting bet here: the time spent thinking is the value of the product. When AI can generate almost any answer, helping someone develop their own becomes a lot more interesting. Currently trying this with my 6yo at home, will report back on how it goes.

The biggest mistake in AI education is automating the part where the child learns. The questions. The wrong turns. The “wait, let me try again.” That’s the part gakku is built around. Gakku.ai helps kids aged 6-16 practice writing, speaking and thinking through live conversations with Raku, its AI learning companion. What interests me from a product-design perspective is what happens when the child changes their mind. Having small kids myself, I know this happens a lot. A learner can interrupt, revise an idea or make a choice on screen. Raku has to adapt while keeping the conversation, visuals and mission progress in sync. The interface becomes part of the thinking. Ideas take shape on screen, and the child’s choices shape what happens next. That’s a much more interesting design problem than generating a good reply. The system has to follow the learner’s intent, remember what came before and decide when to ask, act or wait. For me, the design challenge is knowing how much help to give. Too little and the child gets stuck. Too much and the system takes over the decisions they need to practice making. The child still has to explain, choose and revise. The interesting bet here: the time spent thinking is the value of the product. When AI can generate almost any answer, helping someone develop their own becomes a lot more interesting. Currently trying this with my 6yo at home, will report back on how it goes.

Linus ✦ Ekenstam 🔜 Adobe MAX Miami 2026

66,269 次观看 • 20 天前

A voice interface has to accommodate a thought that isn’t finished yet. In Gakku.ai’s workshop, the learner moves from preferring movies to choosing books after weighing excitement against imagination with Raku. The opinion card changes, and the map reorganizes around reasons for reading. The interface gives that change of mind a visible form. The conversation and visual structure refer to the same developing thought. That coherence gives the learner something stable to examine while they reconsider what they mean. For learning, the interface needs room for the thinking to evolve. Watch a conversation reshape an opinion:

A voice interface has to accommodate a thought that isn’t finished yet. In Gakku.ai’s workshop, the learner moves from preferring movies to choosing books after weighing excitement against imagination with Raku. The opinion card changes, and the map reorganizes around reasons for reading. The interface gives that change of mind a visible form. The conversation and visual structure refer to the same developing thought. That coherence gives the learner something stable to examine while they reconsider what they mean. For learning, the interface needs room for the thinking to evolve. Watch a conversation reshape an opinion:

Dipti Sharma

39,019 次观看 • 21 天前

Of all the Christian denominations, the Catholic Church holds the most logically coherent position on abortion. It rests on a single premise, that the unborn child is a human being with the same claim to life as anyone else, and it follows that premise through every hard case, since nothing about how a child was conceived changes what the child is. The LDS position does not hold together the same way. The LDS Church condemns abortion as a grave sin, yet it allows an exception when the pregnancy results from r*pe, and that exception gives the argument away. A child conceived in r*pe is no less a child, and the father's crime takes nothing from that child's innocence or worth, so either the unborn life is sacred and the exception cannot be justified, or it is not sacred and the general prohibition has lost its stated foundation.

Of all the Christian denominations, the Catholic Church holds the most logically coherent position on abortion. It rests on a single premise, that the unborn child is a human being with the same claim to life as anyone else, and it follows that premise through every hard case, since nothing about how a child was conceived changes what the child is. The LDS position does not hold together the same way. The LDS Church condemns abortion as a grave sin, yet it allows an exception when the pregnancy results from rpe, and that exception gives the argument away. A child conceived in rpe is no less a child, and the father's crime takes nothing from that child's innocence or worth, so either the unborn life is sacred and the exception cannot be justified, or it is not sacred and the general prohibition has lost its stated foundation.

Kirk Rollins

14,633 次观看 • 1 个月前

Dario Amodei just told software engineers exactly how long they have. Six to twelve months. Amodei: “I have engineers within Anthropic who say I don’t write any code anymore. I just let the model write the code, I edit it, I do the things around it.” The people building the most powerful AI in history have already stopped writing code. That is not a forecast. That is the current working condition inside the lab closest to the frontier. Amodei: “We might be six to 12 months away from when the model is doing most, maybe all, of what SWEs do end-to-end.” The tech industry spent a decade making software engineers its highest-paid, most protected class. That era has a last day now. When a model can execute an entire software build end-to-end, the ability to write syntax stops being a skill. It becomes a credential for a job that no longer exists. Amodei: “And then it’s a question of how fast does that loop close.” That is the sentence everyone skipped. The code was never the hard part. The hard part was everything around it. The model just learned everything around it. Writing the code is already nearly gone. Testing is next. Deployment is next. When all three collapse into a single autonomous execution loop, the machine no longer needs a human in the chain at all. The corporation or sovereign state that closes that loop first does not gain a competitive advantage. It gains a category of speed that biological engineers cannot match, track, or reverse. That is not disruption. That is replacement at a systems level. Amodei is not describing a future disruption. He is describing the current state of his own building. The loop is already closing. The only question is whether you are inside it or outside it when it seals.

Dario Amodei just told software engineers exactly how long they have. Six to twelve months. Amodei: “I have engineers within Anthropic who say I don’t write any code anymore. I just let the model write the code, I edit it, I do the things around it.” The people building the most powerful AI in history have already stopped writing code. That is not a forecast. That is the current working condition inside the lab closest to the frontier. Amodei: “We might be six to 12 months away from when the model is doing most, maybe all, of what SWEs do end-to-end.” The tech industry spent a decade making software engineers its highest-paid, most protected class. That era has a last day now. When a model can execute an entire software build end-to-end, the ability to write syntax stops being a skill. It becomes a credential for a job that no longer exists. Amodei: “And then it’s a question of how fast does that loop close.” That is the sentence everyone skipped. The code was never the hard part. The hard part was everything around it. The model just learned everything around it. Writing the code is already nearly gone. Testing is next. Deployment is next. When all three collapse into a single autonomous execution loop, the machine no longer needs a human in the chain at all. The corporation or sovereign state that closes that loop first does not gain a competitive advantage. It gains a category of speed that biological engineers cannot match, track, or reverse. That is not disruption. That is replacement at a systems level. Amodei is not describing a future disruption. He is describing the current state of his own building. The loop is already closing. The only question is whether you are inside it or outside it when it seals.

Dustin

318,750 次观看 • 8 个月前

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Grok Bot + Kimi K3 can be turned into something bigger than an agent: an AI operating system the formula: AI OS = Router + Reasoning + Memory + Tools + Loops + Verification not one giant assistant. six layers that keep work moving without you step 1 -> Grok Bot becomes the operator. you give it the goal, it breaks the goal into jobs, assigns priorities and decides what part of the system should act next. step 2 -> Kimi K3 becomes the reasoning core. hard research, synthesis, long context and planning move here instead of forcing every task through the same model. step 3 -> externalize memory. store goals, decisions, failed attempts, artifacts and current state outside the chat. close the session, come back tomorrow, and the system still knows where it is. step 4 -> connect tools: search, code, files, APIs, docs and data. reasoning decides what should happen. tools actually make it happen. step 5 -> add the loop engine: plan -> execute -> inspect -> update memory -> retry. the loop can wait for new information, rerun a failed task, hand work to another agent or stop when the goal is complete. step 6 -> verify before output. tests, source checks, constraints and explicit completion rules decide whether the system ships the result or sends it back into the loop. that's the difference between an AI assistant and an AI operating system. an assistant waits for your next message. an operating system carries state, routes work and keeps moving. Grok Bot handles orchestration, Kimi K3 handles deeper reasoning, memory keeps the state alive, tools execute, the loop keeps the system running, verification decides when it is actually done. build one reliable loop and you have an agent. connect reasoning, memory, tools and multiple loops around it and you start building infrastructure. the full Grok Bot + Kimi K3 AI OS breakdown is below ↓

Alex

13,312 次观看 • 2 个月前

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Steven Pressfield has spent decades studying the art of storytelling. "The female carries the mystery" has become one of his core principles, and once you see it, you'll see it everywhere. Here's how he explains it: "In Moby Dick, the sea is the female, and the sea carries the mystery. The whale dives down into the sea. In Lawrence of Arabia, the desert is the female and the movie is shot to make the desert absolutely gorgeous. Then there's The Magnificent Seven in Japan by Akira Kurosawa. It's the same story of a village that hires gun-slinger samurai to defend it, and the female in that story are the rice fields that produce the rice that the bandits want. At the very end of Seven Samurai, The final thing, when the samurai have won and the bandits have been killed, is the villagers planting rice. So that's a principle that I will have: The female carries the mystery. I'll ask myself, for any idea that I have, what's the female in this story? Is there a mystery? And why, what is it? What is, what is the mystery? And the mystery is almost always something that cannot be solved. It's like... What is life? What is the sea? What is the ocean? It gets back to God. It gets back to creation. It gets back to life."

David Perell

321,589 次观看 • 2 年前

I built my short-form video workflow as a Loop in Teamily AI, and it actually runs like a team. Teamily AI is a human-agent collaborative workspace, great for small businesses and teams. more than one person can work with the agents in the same project. it's not one giant prompt. the workflow looks like this: > a Growth Hacker finds recent high-performing references and brings me the strongest angles > I pick the direction in the project chat > a teammate drops a topic idea in the same group, and the Growth Hacker picks it up > a Short Video Editor turns the angle into an original video draft > a Video Optimizer checks the hook, pacing, and caption > the finished draft comes back to me to approve I'm still in it where judgment matters. I pick the reference, I make the creative calls, I approve the final result. the agents handle everything between those decisions using the same project context, so nobody re-explains the topic at each step. then when I'm ready for the next video, I click the Loop icon and run the same workflow again. same team, same roles, new topic, new output. no rebuilding from scratch. that's what feels different from a normal chatbot: instead of recreating a chain of prompts, humans and agents each know their part in one workspace. try it 👇 Teamily AI

I built my short-form video workflow as a Loop in Teamily AI, and it actually runs like a team. Teamily AI is a human-agent collaborative workspace, great for small businesses and teams. more than one person can work with the agents in the same project. it's not one giant prompt. the workflow looks like this: > a Growth Hacker finds recent high-performing references and brings me the strongest angles > I pick the direction in the project chat > a teammate drops a topic idea in the same group, and the Growth Hacker picks it up > a Short Video Editor turns the angle into an original video draft > a Video Optimizer checks the hook, pacing, and caption > the finished draft comes back to me to approve I'm still in it where judgment matters. I pick the reference, I make the creative calls, I approve the final result. the agents handle everything between those decisions using the same project context, so nobody re-explains the topic at each step. then when I'm ready for the next video, I click the Loop icon and run the same workflow again. same team, same roles, new topic, new output. no rebuilding from scratch. that's what feels different from a normal chatbot: instead of recreating a chain of prompts, humans and agents each know their part in one workspace. try it 👇 Teamily AI

Kirill

13,773 次观看 • 1 个月前

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141,430 次观看 • 1 个月前

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Deepak Chopra

62,238 次观看 • 18 天前

Cleared for Publication: This is an IDF drone over central Gaza, cleared for release, and it is not ambiguous. A child is walking weapons down a residential street in Central Gaza and taking it into a civilian house. Laundry hanging in the window. Ordinary street. That’s the point. They do this because they’ve learned the only rule that matters to them. Put the rifles on a child and the jet won’t fire. Park the rifle in a family home and the next headline writes itself if that house is ever touched. The child is not an accident in the plan. The child IS the plan. They turn their own kids into couriers so that when the weapon is found later, the world can scream that Israel bombed a home and killed children. I have zero patience left for the people who watch this and still talk about “innocent civilians” as if the neighborhood is unaware. They ALL know. They have ALWAYS known. This is how they fight. They hide the war inside a child and then demand you treat the child as proof that you’re the monster. That’s not resistance. That’s using a kid as cover and daring you to do anything about it.

Cleared for Publication: This is an IDF drone over central Gaza, cleared for release, and it is not ambiguous. A child is walking weapons down a residential street in Central Gaza and taking it into a civilian house. Laundry hanging in the window. Ordinary street. That’s the point. They do this because they’ve learned the only rule that matters to them. Put the rifles on a child and the jet won’t fire. Park the rifle in a family home and the next headline writes itself if that house is ever touched. The child is not an accident in the plan. The child IS the plan. They turn their own kids into couriers so that when the weapon is found later, the world can scream that Israel bombed a home and killed children. I have zero patience left for the people who watch this and still talk about “innocent civilians” as if the neighborhood is unaware. They ALL know. They have ALWAYS known. This is how they fight. They hide the war inside a child and then demand you treat the child as proof that you’re the monster. That’s not resistance. That’s using a kid as cover and daring you to do anything about it.

Mor Edge Insight

285,351 次观看 • 1 个月前

This is f*cking gold.. Chinese researchers just released a paper with a brutal title: "The End of Prediction". The case is simple: an AI that outputs BUY or SELL is finished as a product. Any signal a model can read is priced in before it finishes reading, and active managers already lose to the index over any multi-year window. The question a model answers well is different: what changed, and what is the evidence that it is real rather than noise. So the architecture flips. Plain code finds the anomaly, a million-token model compares eight quarters in one pass, and the heavy reasoning model is spent only on arguing against the result. 10,000 companies a day become 40 deep reads and 8 reasoning passes -- about $450 of inference where a naive full pass costs $60,000. Flagged events hit 37% precision against a 15 to 20% base rate. A real edge, and still nowhere near a forecast. The output has no score and no call. Only what changed, sourced, and what contradicts it. That is exactly the pipeline I built and wrote up below: Robinhood data, Kimi K3 for the reading, GPT-6 Astra for the counter-thesis. The entire paper in one line: you are selling research velocity, not prediction ↓

This is f*cking gold.. Chinese researchers just released a paper with a brutal title: "The End of Prediction". The case is simple: an AI that outputs BUY or SELL is finished as a product. Any signal a model can read is priced in before it finishes reading, and active managers already lose to the index over any multi-year window. The question a model answers well is different: what changed, and what is the evidence that it is real rather than noise. So the architecture flips. Plain code finds the anomaly, a million-token model compares eight quarters in one pass, and the heavy reasoning model is spent only on arguing against the result. 10,000 companies a day become 40 deep reads and 8 reasoning passes -- about $450 of inference where a naive full pass costs $60,000. Flagged events hit 37% precision against a 15 to 20% base rate. A real edge, and still nowhere near a forecast. The output has no score and no call. Only what changed, sourced, and what contradicts it. That is exactly the pipeline I built and wrote up below: Robinhood data, Kimi K3 for the reading, GPT-6 Astra for the counter-thesis. The entire paper in one line: you are selling research velocity, not prediction ↓

slash1s

100,002 次观看 • 1 个月前

What is Diwali? Have you heard the story told by Brahminical mythology? Once upon a time, a demon rolled up the world like a mat and hid inside the ocean. Upon the gods' plea, Mahavishnu took the form of a boar, entered the ocean, killed him, retrieved the world, and spread it out. The spread-out Earth, that is, Bhumadevi, desired to mate with that boar. Consenting to the desire, Vishnu, in his boar form, mated with the Earth. As a result, the Earth became pregnant and gave birth to a child named Narakasura. That child tormented the Gods. For the sake of the gods, Vishnu started a war with Narakasura. Vishnu could not kill him. Vishnu's wife waged war against Narakasura and killed him. Because of this, the gods became happy. This happiness, that is, celebrating Narakasura's death, is what the Dravidian people, who are of Narakasura's race, must celebrate. This is the philosophy of the Diwali festival! These 10 things are what make Tamils celebrate Diwali, but what else? Does anyone know? Has anyone said? Let's investigate this. It seems that the Aryans who wrote this story didn't even have basic knowledge about the Earth. Is the Earth flat? Or round? Even if it were flat, could one person roll it up like a mat? From where would they stand to roll it? If rolled up, could it be lifted and carried to the ocean or on the head? From where would it be lifted? If hiding in the ocean, on what would the ocean have been resting at that time? Vishnu... why the necessity to take the form of a feces-eating boar? After killing the demon and spreading out the Earth, why would the Earth fall in love with the boar? Is the Earth in human form? Or animal form? Would mating between a human form and an animal form produce a human child? Then why the fight? Why the killing? Why should we be happy about this? Shouldn't the Tamil poets and scholars who celebrate Diwali think about these things at least a little? Narakasura's city is Mahishmati. It is on the banks of the Narmada River. Another city is called Pragjyotisha. It is near the Visham state in Bengal. These were ruled by Dravidian kings. In Bengal, who could the gods and demons have been? Without thinking about any of this, just because a Brahmin wrote it and says it, getting up in the middle of the night to bathe, wearing new clothes, bursting crackers, and when those Brahmins come and ask if we've had a Ganga bath, saying yes, bowing, giving money, and them taking the money, tucking it into their waist and leaving—what should we call this? Think! Think!! Brahmins... even if your teachers lack honor and intelligence, at least you should think. Why am I saying all this? It's because, in the time this story was written, the Brahmins, that is, the Aryans, must have been such barbarians. Why did we get cheated in that era, why did we fall into a lowly state? Every Tamil must think deeply about this... Thanks.. -Periyar Source :

What is Diwali? Have you heard the story told by Brahminical mythology? Once upon a time, a demon rolled up the world like a mat and hid inside the ocean. Upon the gods' plea, Mahavishnu took the form of a boar, entered the ocean, killed him, retrieved the world, and spread it out. The spread-out Earth, that is, Bhumadevi, desired to mate with that boar. Consenting to the desire, Vishnu, in his boar form, mated with the Earth. As a result, the Earth became pregnant and gave birth to a child named Narakasura. That child tormented the Gods. For the sake of the gods, Vishnu started a war with Narakasura. Vishnu could not kill him. Vishnu's wife waged war against Narakasura and killed him. Because of this, the gods became happy. This happiness, that is, celebrating Narakasura's death, is what the Dravidian people, who are of Narakasura's race, must celebrate. This is the philosophy of the Diwali festival! These 10 things are what make Tamils celebrate Diwali, but what else? Does anyone know? Has anyone said? Let's investigate this. It seems that the Aryans who wrote this story didn't even have basic knowledge about the Earth. Is the Earth flat? Or round? Even if it were flat, could one person roll it up like a mat? From where would they stand to roll it? If rolled up, could it be lifted and carried to the ocean or on the head? From where would it be lifted? If hiding in the ocean, on what would the ocean have been resting at that time? Vishnu... why the necessity to take the form of a feces-eating boar? After killing the demon and spreading out the Earth, why would the Earth fall in love with the boar? Is the Earth in human form? Or animal form? Would mating between a human form and an animal form produce a human child? Then why the fight? Why the killing? Why should we be happy about this? Shouldn't the Tamil poets and scholars who celebrate Diwali think about these things at least a little? Narakasura's city is Mahishmati. It is on the banks of the Narmada River. Another city is called Pragjyotisha. It is near the Visham state in Bengal. These were ruled by Dravidian kings. In Bengal, who could the gods and demons have been? Without thinking about any of this, just because a Brahmin wrote it and says it, getting up in the middle of the night to bathe, wearing new clothes, bursting crackers, and when those Brahmins come and ask if we've had a Ganga bath, saying yes, bowing, giving money, and them taking the money, tucking it into their waist and leaving—what should we call this? Think! Think!! Brahmins... even if your teachers lack honor and intelligence, at least you should think. Why am I saying all this? It's because, in the time this story was written, the Brahmins, that is, the Aryans, must have been such barbarians. Why did we get cheated in that era, why did we fall into a lowly state? Every Tamil must think deeply about this... Thanks.. -Periyar Source :

We Dravidians

272,911 次观看 • 1 年前

A nurse tries to trap Matt Walsh on abortion, demanding to know why he’d force a 13-year-old to give birth to her rapist’s child. Then Walsh asks him one medical question, and the nurse wants to run away. NURSE: “Why do you believe that a 13-year-old should be forced to give birth to their rapist’s child?” WALSH: “I don’t think that it is ever okay to kill a child.” Then he flips it. WALSH: “You’re the medical expert. The unborn child, is that a human being or not?” NURSE: “That is a religious question.” WALSH: “It’s not a religious question. It’s a medical question. What is it if it’s not a human being?” NURSE: “Medically speaking, we don’t consider it a full-fledged human being.” WALSH: “What do you mean full-fledged?” Instead of answering, the nurse pivots: why don’t we have “conception certificates”? Or “a heartbeat certificate”? Walsh even agrees to the heartbeat certificate. But he keeps coming back to the one question. “Is the unborn child a human being or not?” Eventually, the nurse tries to bail. NURSE: “I appreciate your time.” WALSH: “No, no, no. Come back. Come back here.” “You’re the medical expert, and you won’t even tell us what a human being is. I’m starting to get concerned.” [crowd laughs] Then Walsh sums it up: “You have one side that can answer directly. It’s never okay to directly and intentionally kill a human child. That was my answer. I think I gave it probably 15, 20 times. “And then you have the other side that has no answer at all to this question. What is a human child? Can’t even answer it.” The nurse knew the answer. That’s why he left.

A nurse tries to trap Matt Walsh on abortion, demanding to know why he’d force a 13-year-old to give birth to her rapist’s child. Then Walsh asks him one medical question, and the nurse wants to run away. NURSE: “Why do you believe that a 13-year-old should be forced to give birth to their rapist’s child?” WALSH: “I don’t think that it is ever okay to kill a child.” Then he flips it. WALSH: “You’re the medical expert. The unborn child, is that a human being or not?” NURSE: “That is a religious question.” WALSH: “It’s not a religious question. It’s a medical question. What is it if it’s not a human being?” NURSE: “Medically speaking, we don’t consider it a full-fledged human being.” WALSH: “What do you mean full-fledged?” Instead of answering, the nurse pivots: why don’t we have “conception certificates”? Or “a heartbeat certificate”? Walsh even agrees to the heartbeat certificate. But he keeps coming back to the one question. “Is the unborn child a human being or not?” Eventually, the nurse tries to bail. NURSE: “I appreciate your time.” WALSH: “No, no, no. Come back. Come back here.” “You’re the medical expert, and you won’t even tell us what a human being is. I’m starting to get concerned.” [crowd laughs] Then Walsh sums it up: “You have one side that can answer directly. It’s never okay to directly and intentionally kill a human child. That was my answer. I think I gave it probably 15, 20 times. “And then you have the other side that has no answer at all to this question. What is a human child? Can’t even answer it.” The nurse knew the answer. That’s why he left.

The Vigilant Fox 🦊

1,183,593 次观看 • 7 天前

MICROSOFT QUIETLY SHIPPED THE RAG PIPELINE EVERYONE KEEPS TRYING TO BUILD FROM SCRATCH it is called Kernel Memory, and it turns any pile of files into an AI memory that answers with citations. drop your data in and Microsoft's pipeline does the rest: > ingest PDFs, Word, PPT, Excel, web pages, even images > extract the text, chunk it, embed it into vectors > store the vectors with metadata and keep the originals in blob storage > ask a question and it pulls the right chunks with semantic plus hybrid search then it hands the answer back grounded, with links to the exact source and full token usage. and it plugs into whatever you already run: > Azure OpenAI, OpenAI, Ollama, or Anthropic for the models > Qdrant, pgvector, Redis, or Azure AI Search for the vectors > every step is a swappable handler, so you can replace any part with your own one heads up: Microsoft archived the repo in June 2026 and ships it as a reference blueprint, not production. but as a map for how memory and RAG are actually built, nothing is cleaner. run it in one command: docker run kernelmemory/service bookmark this. Microsoft already drew the blueprint, you just build on it.

MICROSOFT QUIETLY SHIPPED THE RAG PIPELINE EVERYONE KEEPS TRYING TO BUILD FROM SCRATCH it is called Kernel Memory, and it turns any pile of files into an AI memory that answers with citations. drop your data in and Microsoft's pipeline does the rest: > ingest PDFs, Word, PPT, Excel, web pages, even images > extract the text, chunk it, embed it into vectors > store the vectors with metadata and keep the originals in blob storage > ask a question and it pulls the right chunks with semantic plus hybrid search then it hands the answer back grounded, with links to the exact source and full token usage. and it plugs into whatever you already run: > Azure OpenAI, OpenAI, Ollama, or Anthropic for the models > Qdrant, pgvector, Redis, or Azure AI Search for the vectors > every step is a swappable handler, so you can replace any part with your own one heads up: Microsoft archived the repo in June 2026 and ships it as a reference blueprint, not production. but as a map for how memory and RAG are actually built, nothing is cleaner. run it in one command: docker run kernelmemory/service bookmark this. Microsoft already drew the blueprint, you just build on it.

NO1ennn

85,704 次观看 • 2 个月前

Parents are the first and forever educators of their children. As such, they alone hold the fundamental right to determine what is in the best interests of their child. No government, institution, or special interest group should have the power to override or redefine that right. And yet, those who seek control over our children’s education have steadily worked to shift authority away from parents, placing it instead in the hands of bureaucrats and policymakers whose priorities often serve their own agendas rather than the well-being of our children. One of the most deceptive battles placed before us—a battle designed to distract and divide—is the push for government regulated universal #SchoolChoice On the surface, it appears to empower parents, but in reality, it is a well-laid pathway to the nationalization of education. As a mother, I do not derive my right to choose the best education for my child from the state or federal government. That right comes from God. It is not granted by politicians, nor should it be subject to their control. Yet, the push for #SchoolChoice, particularly in the form of government-funded vouchers, virtual learning, ESA and charter schools, is part of a bipartisan calculated effort to redefine parental rights while consolidating control over education at the national level. Think I am wrong? Do not attack-Prove me wrong.

Parents are the first and forever educators of their children. As such, they alone hold the fundamental right to determine what is in the best interests of their child. No government, institution, or special interest group should have the power to override or redefine that right. And yet, those who seek control over our children’s education have steadily worked to shift authority away from parents, placing it instead in the hands of bureaucrats and policymakers whose priorities often serve their own agendas rather than the well-being of our children. One of the most deceptive battles placed before us—a battle designed to distract and divide—is the push for government regulated universal #SchoolChoice On the surface, it appears to empower parents, but in reality, it is a well-laid pathway to the nationalization of education. As a mother, I do not derive my right to choose the best education for my child from the state or federal government. That right comes from God. It is not granted by politicians, nor should it be subject to their control. Yet, the push for #SchoolChoice, particularly in the form of government-funded vouchers, virtual learning, ESA and charter schools, is part of a bipartisan calculated effort to redefine parental rights while consolidating control over education at the national level. Think I am wrong? Do not attack-Prove me wrong.

Alice

12,305 次观看 • 1 年前

Greatness is not exclusive or elusive, but the discipline and dedication to achieve it is. "It takes more than skills to be great. I am not the most skilled, but the thing that makes me a step further than people is the obsession and discipline I have for the game."

Greatness is not exclusive or elusive, but the discipline and dedication to achieve it is. "It takes more than skills to be great. I am not the most skilled, but the thing that makes me a step further than people is the obsession and discipline I have for the game."

The Winning Difference

15,240 次观看 • 2 年前

Ilya Sutskever explains the 1% human training loop, and why fully autonomous AI is the wrong target "The thing you really want is for the human teachers that tell, that teach the AI, for them to collaborate with an AI." "You might want to think of it as being in a world where the human teachers do 1% of the world and the work and the AI do 99% of the work." "You don't want it to be 100% AI" "But you do want it to be a human-machine collaboration which teaches the next machine." Most teams are trying to remove the human from the loop. Ilya's design keeps a tiny human control surface and uses it to teach the next generation. The leverage is not zero humans. It is 1% human judgment steering 99% machine work. - Ilya Sutskever (Ilya Sutskever), AI researcher, on Dwarkesh Patel

Ilya Sutskever explains the 1% human training loop, and why fully autonomous AI is the wrong target "The thing you really want is for the human teachers that tell, that teach the AI, for them to collaborate with an AI." "You might want to think of it as being in a world where the human teachers do 1% of the world and the work and the AI do 99% of the work." "You don't want it to be 100% AI" "But you do want it to be a human-machine collaboration which teaches the next machine." Most teams are trying to remove the human from the loop. Ilya's design keeps a tiny human control surface and uses it to teach the next generation. The leverage is not zero humans. It is 1% human judgment steering 99% machine work. - Ilya Sutskever (Ilya Sutskever), AI researcher, on Dwarkesh Patel

Karl Mehta

30,651 次观看 • 3 个月前

THIS GUY BUILT A REAL JARVIS THAT TURNS HIS IDEAS INTO FINISHED PROJECTS ON ITS OWN, AND HE JUST SHOWED HOW THE WHOLE THING WORKS The whole system runs on one clean split he calls a blood-brain barrier. The second brain, his Obsidian vault, is only for things that aren't real yet. Ideas. Each one sits in a project-shaped folder, waiting to be processed and turned into something real. Nothing executes there. The vault is the place where ideas get shaped, not built. Once an idea is signed off, it crosses over to the execution pipeline. That lives on his actual machine, or an always-on box, or a Raspberry Pi, depending on what the project needs. Inside that machine is a fully Claude-native file system. The key piece is one CLAUDE.md file sitting in the root of his documents folder, acting as the map to everything in there. So he just opens Claude and says "go to my projects folder," and it already knows the whole structure, because that root file explains it. Two zones, one rule: the brain holds what isn't real, the machine runs what is. That separation is what keeps the ideas from tangling with the work. Bookmark this

THIS GUY BUILT A REAL JARVIS THAT TURNS HIS IDEAS INTO FINISHED PROJECTS ON ITS OWN, AND HE JUST SHOWED HOW THE WHOLE THING WORKS The whole system runs on one clean split he calls a blood-brain barrier. The second brain, his Obsidian vault, is only for things that aren't real yet. Ideas. Each one sits in a project-shaped folder, waiting to be processed and turned into something real. Nothing executes there. The vault is the place where ideas get shaped, not built. Once an idea is signed off, it crosses over to the execution pipeline. That lives on his actual machine, or an always-on box, or a Raspberry Pi, depending on what the project needs. Inside that machine is a fully Claude-native file system. The key piece is one CLAUDE.md file sitting in the root of his documents folder, acting as the map to everything in there. So he just opens Claude and says "go to my projects folder," and it already knows the whole structure, because that root file explains it. Two zones, one rule: the brain holds what isn't real, the machine runs what is. That separation is what keeps the ideas from tangling with the work. Bookmark this

Yarchi

87,650 次观看 • 4 个月前