In love with Stella, Father of Cecilia, Ximena and Alexis. Maths & Computers passionate ! Working for Microsoft Corporation since 1996. Tech & Biz impact !

Santiago, Chile
Joined May 2008
What tasks should AI be trusted with, and when should humans remain involved? Designing those decision rights is one of the defining challenges of the AI era. Researchers at @MIT_CISR have developed a framework to help. Learn more: bit.ly/4zed20M
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She smiles at him like she already knows what’s next BBC Chudai Wataa ♠️🛐
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New Scientist
@newscientist
Oct 7
Philosophers have pondered whether we live in a simulation for centuries. Now, Astronomer Royal for Scotland Catherine Heymans suggests a compelling rationale for why our reality might actually be synthetic newscientist.com/article/258…
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New Scientist
@newscientist
Oct 5
The way time ticks forward in our universe has long stumped physicists. Now, a new set of tools from entangled atoms to black holes promises to reveal time’s true nature. Read more: newscientist.com/article/251…
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Anthropic valuation - $2 Trillion OpenAI valuation - $1.5 Trillion Meta valuation - $1.85 Trillion Anthropic 2025 revenue - $4.6 Billion OpenAI 2025 revenue - $13 Billion Meta 2025 revenue - $200 Billion+
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🚨 THE UNIVERSE… A COSMIC MISTAKE? At CERN, scientists may have found a clue to why anything exists at all. After the Big Bang, matter and antimatter should have destroyed each other—leaving nothing behind. But new experiments show tiny differences between them… just enough for matter to survive. That small imbalance may be the reason you, me, and the entire universe exist today. A tiny flaw…
or the greatest mystery ever? Source:
CERN. Matter–antimatter asymmetry research findings.
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A cubic does not yield its roots until its middle term is erased. Shift the unknown by x = y − b/(3a). The equation ax³ + bx² + cx + d = 0 collapses to the depressed form y³ + py + q = 0, with p = c/a − b²/(3a²) and q = (2b³ − 9abc + 27a²d)/(27a³). Cardano writes the new unknown as a sum of two cube roots, U and V, bound by UV = −p/3. Both are fixed by one square root, the discriminant (q/2)² + (p/3)³. Twisting that pair by the cube roots of unity, ωᵏU + ω²ᵏV, returns all three solutions. The method does not create the roots. It only removes the term that was hiding their symmetry.
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When he was in his 20s, Alexander Grothendieck’s ideas changed the course of mathematics. Then in 1970, he quit. Eventually, he moved to a small village in the Pyrenees, where he lived as a hermit until his death in 2014. quantamagazine.org/how-alexa…
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FREE Paper: "Could a Large Language Model be Conscious?" by David J. Chalmers. He writes about augmented LLM systems: "It seems entirely possible that within the next decade, we’ll have robust systems with senses, embodiment, world models and self-models, recurrent processing, global workspace, and unified goals. … It also wouldn’t be unreasonable to have at least a 50 percent credence that if we develop sophisticated systems with all of these properties, they will be conscious. … it’s reasonable to have a significant credence that we’ll have conscious LLM+s [augmented LLMs] within a decade." Link: arxiv.org/abs/2303.07103
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New evidence from the James Webb Telescope is leading some to propose radically different alternatives to our current account of the universe. In 2023, the telescope identified a higher rate of expansion for the universe and mature galaxies billions of years earlier than previously predicted. Some are claiming there is a crisis in cosmology sufficiently profound to threaten a wholesale change in our understanding. Join cosmologist George Ellis, theoretical physicist Claudia de Rham, and philosopher of science Bjørn Ekeberg to debate the future of cosmology in light of these new discoveries. Tap here to watch their debate now, hosted by Jay Shapiro. iai.tv/video/cosmology-in-cr…
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Neurons firing create electrical patterns like galaxies, forming memory, emotion, and awareness.
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Andrej Karpathy predicted the future of AI once again: “Everyone’s renting frontier models for jobs a 3B model could do. Small models are the future.” this 18-page PDF breaks down Karpathy’s case for working with small LLMs. the real question isn’t “Is the small model as good?” It’s “Which of my 1,000 calls ever needed a frontier model?” And @thewebai just answered it for formal logic. TwIL-LM3-Pro: → 3.6B params, on par with Qwen3-8B on formal logic → leads VibeThinker-3B on all 6 formal-logic tasks tested → 95.4% on BBH logic, 95% on SVAMP → 2.09 GiB in Q4, runs on CPU or 4GB VRAM → no API bill, no data leaving your machine The secret isn't size. It's post-training. PDF below. Model 👇 huggingface.co/webAI-Officia…
🤝 Paid partnership
Half a million downloads in a month. Today, our open source family takes another step forward. Thank you for the incredible support behind our first-generation models. We’re excited to introduce TwIL-LM3-Pro. At just 3.6 billion parameters, it brings powerful reasoning to everyday computers, with quantized builds that run locally. No cloud required. In our evaluation: Formal logic: Highest recorded headline score among the small models compared—beating China’s VibeThinker-3B by 35% and Qwen3.5-4B by 24%, and Liquid AI’s LFM2.5-8B-A1B by 47%. Broader reasoning: 95% on SVAMP and 64.1% on MuSR, the highest recorded scores among the small models compared. BIG-Bench Hard’s logic subset: 95.4%, compared with VibeThinker-3B’s 61.1%. We believe AI is entering a post-training era. The advantage will increasingly belong to companies with the best pipelines and those that can produce capable, personalized intelligence faster and more efficiently, then put it on devices people already own. That’s what we’re building at webAI. And we’re only beginning to share what’s coming out of our lab. Coming soon: Meridian, our family of frontier-class models built to run on device. Our most advanced models will be available through the @thewebAI application. Join the waitlist as we expand access. Proudly built in Austin, Texas. 🇺🇸
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Those two 🤣
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A dead MIT professor accidentally destroyed the $20 billion executive coaching industry with one hour of lecture, and ten million people have already watched him do it. He filmed it once in January 2018 and died eighteen months later. Executive coaches charge fifteen thousand dollars a session to teach a third of what he covered in that one hour for free. His name was Patrick Winston. He ran the MIT Artificial Intelligence Laboratory from 1972 to 1997 and wrote the AI textbook every computer science major in the world read for thirty years. Every January for four decades, he gave a lecture called "How to Speak." His entire framework fits on a napkin. Do not read. Be in the image. Keep images simple. Eliminate clutter. Start with an empathetic connection. End with a punch line the audience can repeat over dinner. Never open with a joke. Never end with "thank you." That last rule alone has probably cost the executive coaching industry a hundred million dollars. "Your success in life will be determined largely by your ability to speak, your ability to write, and the quality of your ideas. In that order." That is the actual opening line of the lecture. Winston believed it strongly enough to spend fifty years teaching computer scientists how to talk. Founders spend $80,000 on an MBA and then hire a communications coach to teach them the same material Winston filmed once for free. Engineers write brilliant code and lose promotions to teammates who watched this lecture on the train. The lecture is free on MIT OpenCourseWare. The textbook is free on his page. Winston died in 2019. Almost none of the ten million viewers have actually implemented the four rules on the napkin. The napkin is free. The willingness to actually use it in your next meeting is the entire edge.
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New Free Article: "What’s the Future for Pure Math Research in the Age of AI?" by Stephen Wolfram. Link: writings.stephenwolfram.com/…
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"Von Neumann would carry on a conversation with my 3 year old son, and the two of them would talk as equals, and I sometimes wondered if he used the same principle when he talked to the rest of us" - Edward Teller
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