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@NewsFromGoogle @GeminiApp Cool features. But: Personalized ≠ reliable If it uses my photos, show the path: data → model → output Otherwise it’s just convincing guesses. ⚙️ Trust needs receipts

This month, the @GeminiApp became even more intuitive, integrated and personalized. Here's a snapshot of what's new: 🌏 Personal Intelligence is now available to even more users around the world. Now, it can also generate images that reflect your life, interests and the things you care about most using Nano Banana and your @GooglePhotos library. 📓 We introduced notebooks — our “project” feature that integrates with @NotebookLM, giving you a home base for your big ideas that stays in sync across both tools. 🍎 The Gemini app is now available on Mac. Download the desktop app to get AI assistance from Gemini with just a keyboard shortcut (Option + Space). Share anything on your screen — including local files — to get support with whatever you’re looking at. 🎵 Create custom tracks up to 3 minutes long for free with Lyria 3 Pro. To try it, select “Create music” in the tools menu and “Thinking” or “Pro” from the model picker. 📈 Gemini can now transform complex questions into custom, interactive visualizations right in your chat — like playing with adjustable sliders for gravity and velocity to explore questions like how the moon orbits earth.

@HarvardBiz @solidigm AI = pipeline, not prompt Inputs → data quality Flow → pipelines Output → decisions Proof → receipts No verification layer = no reliability 🧾 Claim → hash → receipt → chain ⚙️ Build for proof, not demos

SPONSORED: Why Big AI Ambitions Demand Powerful Data Infrastructure from @solidigm s.hbr.org/48lYEsr

MN Leaf 069 Public Safety & Judiciary verified. Exact label. Exact spacing. Exact value. 3,640,627 status: VERIFIED energy: 0 Order and numbers both matter. ⚙️

MN Leaf 068 Health & Human Services verified. Exact label required. Exact value required. Normalized number rejected. Wrong label rejected. 25,808,265 status: VERIFIED energy: 0 Public budgets now testify. ⚙️

MN Leaf 007 Balance Forward From Prior Year = 10,272,943 Exact match only. No rounding. No normalization. status: VERIFIED energy: 0 From document → to proof. Reality, not narrative. ⚙️

MN Leaf 007 Same number. Different meaning. “surplus” must be present and exact. Missing or altered labels rejected. status: VERIFIED hash: … Numbers don’t speak alone. Labels matter. ⚙️

MN scaffold complete. Leaves 001–006: VERIFIED Leaves 007–100: RESERVED No fake proofs. No placeholders marked true. Capacity built without corrupting truth. System scales. Verification stays intact. ⚙️

MN Leaf 005 A claim is not enough. It must be bound to source. Correct source accepted. Unknown source rejected. Unbound claim rejected. Wrong claim rejected. status: VERIFIED hash: 03e328… Receipts > references. ⚙️

MN Leaf 004 fixed + verified. Revenue, expenses, and balance now pass together. Multi-claim exactness: true Balance identity: true Energy: 0 One claim can lie alone. Systems must agree together. ⚙️

MN Leaf 002 Same number ≠ same claim. Exact source format accepted. Comma format rejected. $3.671B rejected. “approximately 3.7B” rejected. status: VERIFIED hash: 531ac4… Verification > normalization. ⚙️

First real-world leaf. Minnesota budget claim: General Fund Balance = 3 670 799 Exact match required. Spacing enforced. Drift rejected. status: VERIFIED hash: 2a8127… Not math anymore. Public claims now pass the same test. ⚙️

Batch 10 anchored. CID + hash now live on ENS. Anyone can fetch, recompute, verify. 6 proofs. 0 drift. Energy = 0. Not claims. Receipts. ⚙️

Linear Algebra Leaf 003 A=[[1,2],[2,4]] Columns tested: dependent ✔️ independent ❌ status: VERIFIED energy: 0 hash: bb7840… Rank exposed the truth. Not theory. Testimony. ⚙️

Linear Algebra Leaf 002 Ax=b solvability check: A=[[1,2],[2,4]] b=[3,6] exact match accepted wrong b rejected false unsolvable claim rejected status: VERIFIED hash: e60b01… The column space testified. ⚙️

@ihtesham2005 Linear Algebra Leaf 001 A=[[1,2],[3,4]] x=[5,6] Ax=[17,39] exact match accepted drift rejected status: VERIFIED energy: 0 Strang taught it. Now it proves itself. ⚙️

An MIT professor taught the same math course for 62 years, and the day he retired, students from every country on earth showed up online to watch him give his final lecture. I opened the playlist at 2am and ended up watching three of them back to back. His name is Gilbert Strang. The course is MIT 18.06 Linear Algebra. Every machine learning engineer, every data scientist, every quant, every self-taught programmer who actually understands how AI works learned the math from this one man. Most of them never set foot on MIT's campus. They just opened a free playlist on YouTube and let him teach. Here's the story almost nobody tells you. Strang joined the MIT math faculty in 1962. He retired in 2023. That is 61 years of standing at the same chalkboard teaching the same subject to 18-year-olds. The interesting part is what he did when MIT launched OpenCourseWare in 2002. Most professors were skeptical. They worried that putting their lectures online would make their classrooms irrelevant. Strang did not hesitate. He said his life's mission was to open mathematics to students everywhere. He filmed every lecture and gave it away. The decision quietly changed how the world learns math. For decades linear algebra was taught the wrong way. Professors started with abstract vector spaces and proofs about field axioms. Students drowned in the abstraction. Most never recovered. They walked out believing they were bad at math when they had simply been taught in an order that nobody's brain is built to absorb. Strang inverted the entire curriculum. He started with matrix multiplication. Something you can write down on paper. Something you can compute by hand. Something you can see. Then he showed his students that everything else in linear algebra eigenvectors, singular value decomposition, orthogonality, the four fundamental subspaces was just a different lens for understanding what the matrix was actually doing under the hood. His rule was strict. If a student could not explain a concept using a concrete 3 by 3 example, that student did not actually understand the concept yet. The abstraction was supposed to come last, not first. The intuition was the foundation. The proofs were just confirmation that the intuition was correct. The second thing Strang changed was the classroom itself. He said please and thank you to his students. Every single lecture. He paused mid-derivation to ask "am I OK?" to check if anyone was lost. He never used the word "obviously" or "trivially" because he knew exactly what those words do to a student who is one step behind. He treated 19-year-olds learning math for the first time the way he treated his own colleagues. With patience. With respect. With the assumption that they belonged in the room. For 62 years. The result is something that has never happened in the history of education. A single math professor became the default teacher of his subject for the entire planet. Universities in India, China, Brazil, Nigeria, every country with a computer science department, started telling their own students to just watch Strang's lectures. The University of Illinois revised its linear algebra course to do almost no in-person lecturing. The reason was honest. The professor said they could not compete with the videos. His final lecture was in May 2023. The auditorium was packed with students who had never met him before. He walked to the chalkboard, taught for an hour, and at the end the entire room stood and applauded. He looked confused for a moment, like he genuinely did not understand why they were cheering. Then he smiled and waved them off and walked out. His written comment under the YouTube video of that final lecture was four sentences long. He said teaching had been a wonderful life. He said he was grateful to everyone who saw the importance of linear algebra. He said the movement of teaching it well would continue because it was right. That was it. No book promotion. No farewell speech. No legacy management. The man whose teaching is the foundation of modern AI just thanked the audience and went home. 20 million views. Zero ego. The entire engine of the AI revolution sits on top of math that millions of people learned for free from one quiet professor in Cambridge. The course is still on MIT OpenCourseWare. Every lecture, every problem set, every exam, every solution. Free. The most important math course of the 21st century is sitting one click away from you. Most people will never open it.

Truth has a cost function now ⚙️ Exact match = 0 Wrong value = penalty Ground state = verified jaywisdom.base.eth

The model didn’t “believe” the claim. It tested the energy. ⚙️ total_energy: 0 Ground state verified. jaywisdom.base.eth

leaf003 locked ⚙️ Truth became an energy function. ✅ total_energy: 0 ✅ claims accepted ❌ drift rejected jaywisdom.base.eth Proof > narrative.