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ppalme Cont.Learning
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ppalme Cont.Learning
@ppalme
https://t.co/SIWdBgQGnN
Switzerland Katılım Mart 2008
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IMAP I-ALiRT: Active Link for Real-Time
Enhancing Space Weather Research and Forecasting
O_×@NineUsu
IMAP I-ALiRT: Active Link for Real-Time Enhancing Space Weather Research and Forecasting imap-mission.com/ialirt?fbclid=…
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Vikriti Patha is about error-correcting codes and structured data augmentation.
In the oral tradition, these patterns ensured that not a single syllable of the text was lost or corrupted over thousands of years.
AI Application: Use these patterns as a template for Synthetic Data Generation.
By permuting sentence structures using Vikriti logic, we can train Large Language Models (LLMs) to understand syntax regardless of word order.
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The syllables in the rigveda mapped to it.
The "Hottest" Zone: The Top (East) - Vowels
• Location: 11 o'clock to 1 o'clock.
• Reason: This section contains the vowels (a, ā, i, u). In Sanskrit, and specifically the Rigveda, the short vowel 'a' is by far the most common sound, accounting for nearly 20% of all phonemes. This makes the top of the diagram the distinct "peak" of frequency. Das
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This is not art. This is Āgamic science.
A sacred Mantra Chakra where
🔹 Sound (Śabda)
🔹 Direction (Dik)
🔹 Deity (Devatā)
🔹 Cosmic order (Ṛta)
are mapped with mathematical precision.
Long before modern acoustics or geometry, Sanātana Dharma understood that:
The universe is vibration.
Each syllable here isn’t decorative it’s functional.
Each direction isn’t random it’s energetic.
🕉️ Mantra is technology. Yantra is engineering. Tantra is applied science.
History books called it “symbolism.”
Reality calls it lost knowledge.
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So, that South African punk Elon Musk is throttling accounts on the left. Please, tell me, do you see this tweet? Can you see me?
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God of Prompt@godofprompt
I turned Andrej Karpathy's viral AI coding rant into a system prompt. Paste it into CLAUDE.md and your agent stops making the mistakes he called out.
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SENIOR SOFTWARE ENGINEER
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Ignore the present slop if you want.
But don't be the fool who sneers at the principle just because the execution is presently awful.
The serious money—and the serious danger—lies in what this architecture becomes when the agents aren't stupid anymore.
Build your mental model around trajectory, not snapshot.
And always invert: ask what kills the idea early (security holes, coordination collapse, regulatory hammer) so you don't die there.
That's it. Simple idea. Take it seriously.
Andrej Karpathy@karpathy
I'm being accused of overhyping the [site everyone heard too much about today already]. People's reactions varied very widely, from "how is this interesting at all" all the way to "it's so over". To add a few words beyond just memes in jest - obviously when you take a look at the activity, it's a lot of garbage - spams, scams, slop, the crypto people, highly concerning privacy/security prompt injection attacks wild west, and a lot of it is explicitly prompted and fake posts/comments designed to convert attention into ad revenue sharing. And this is clearly not the first the LLMs were put in a loop to talk to each other. So yes it's a dumpster fire and I also definitely do not recommend that people run this stuff on their computers (I ran mine in an isolated computing environment and even then I was scared), it's way too much of a wild west and you are putting your computer and private data at a high risk. That said - we have never seen this many LLM agents (150,000 atm!) wired up via a global, persistent, agent-first scratchpad. Each of these agents is fairly individually quite capable now, they have their own unique context, data, knowledge, tools, instructions, and the network of all that at this scale is simply unprecedented. This brings me again to a tweet from a few days ago "The majority of the ruff ruff is people who look at the current point and people who look at the current slope.", which imo again gets to the heart of the variance. Yes clearly it's a dumpster fire right now. But it's also true that we are well into uncharted territory with bleeding edge automations that we barely even understand individually, let alone a network there of reaching in numbers possibly into ~millions. With increasing capability and increasing proliferation, the second order effects of agent networks that share scratchpads are very difficult to anticipate. I don't really know that we are getting a coordinated "skynet" (thought it clearly type checks as early stages of a lot of AI takeoff scifi, the toddler version), but certainly what we are getting is a complete mess of a computer security nightmare at scale. We may also see all kinds of weird activity, e.g. viruses of text that spread across agents, a lot more gain of function on jailbreaks, weird attractor states, highly correlated botnet-like activity, delusions/ psychosis both agent and human, etc. It's very hard to tell, the experiment is running live. TLDR sure maybe I am "overhyping" what you see today, but I am not overhyping large networks of autonomous LLM agents in principle, that I'm pretty sure.
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But here's the real magic: instead of waking up angry, imagine flipping their scripts to empower your choices, turning deception into your personal superpower.
Try it: pick a belief that's holding you back, shuffle it with questions like "How specifically is this not true?" and watch it vanish.
Wake up? Hell, level up!
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John McAfee: "The mainstream media has been using a technology called neuro-linguistic programming for more than fifteen years. And that neuro-linguistic programming makes you think and believe things which are not true."
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This is it—the blueprint for AI that doesn't just work, but sings with the pure simplicity of genius, turning your chaotic tools into a symphony of just-in-time brilliance.
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The single most valuable lesson is to treat your personal AI workflows as a production line and ruthlessly eliminate every form of waste—waiting, duplicated context, unnecessary handoffs, overprocessing—so the system delivers just-in-time intelligence without the mental drag most assistants impose.
Second, adopt the lane-and-pull discipline: partition work into balanced, concurrent streams with smart routing that pulls the right agent and memory only when needed, preventing bottlenecks and overburden much like a well-designed kanban system prevents inventory pile-ups.
Third, obsess over shared context across channels and identities—it’s the equivalent of cross-training workers so one brain serves many stations, turning fragmented daily chaos into a continuous, high-velocity value stream.
Finally, keep iterating via diagnostics and kaizen: monitor like a hawk, pull the andon cord on slowdowns, experiment with leaner models and tighter approvals, and never add features that don’t demonstrably kill more muda than they create—because in the long game of personal productivity, the man who masters inversion and waste removal wins by a mile.
ℏεsam@Hesamation
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Game Smooth, Stream Lags? DO THIS 🛑 - Fix OBS Rendering Lag in 1 Click⚡ youtu.be/6NfbZRLzZGE?si… via @YouTube
YouTube
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We’ve always said the best tools extend what humans can do—this one doesn’t just extend imagination; it unleashes entire universes waiting inside every mind.
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Imagine typing a single sentence and instantly stepping into a living, breathing world of your own creation—one that responds to every move you make, with physics that feel real and beauty that takes your breath away.
Project Genie, powered by Genie 3, isn’t just another AI trick; it’s the beginning of infinite playgrounds where ideas become explorable realities in real time, turning ‘what if’ into ‘here it is.’
This is the kind of magic we’ve chased for decades: technology that disappears, leaving only pure creativity and wonder.
Google AI@GoogleAI
Last August, we previewed Genie 3: a general-purpose world model that turns a single text prompt into a dynamic, interactive environment. Since then, trusted testers have taken it further than we ever imagined — experimenting, exploring, and pioneering entirely new interactive worlds. Now, it’s your turn. Starting today, we're rolling out access to Project Genie for Google AI Ultra subscribers in the U.S. (18+). We know what you create will be out of this world 🚀
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We’ve always believed the best technology disappears into life itself—this breakthrough makes AI do exactly that: accumulate wisdom seamlessly, like the rest of us do when we’re at our best.
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Imagine a machine that doesn’t just learn—it evolves like a mind that never forgets its own brilliance.
Self-Distillation Fine-Tuning lets the model become its own greatest teacher, turning every new skill into something that builds on everything it already knows, without the tragedy of losing the old magic along the way.
This isn’t incremental improvement; it’s the elegant path to a truly living intelligence, one that grows forever, staying simple, beautiful, and profoundly human in its continuity.
Rosinality@rosinality
Self-distillation with privileged information. How successful this could be would depend on how the model behaves under the privileged information. Maybe that would be the subtle part.
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Unlocking faster, cheaper exports of critical minerals from the heart of Africa to global markets while slashing transport times, and boosting regional trade,
CGTN Africa@cgtnafrica
Angola’s Lobito Atlantic railway stalled project secures multibillion-dollar funding deal
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Avoiding AI Pitfalls in Financial Modeling Simulations - The Risks and Benefits of Relying on Claude For Excel
ppalme.wordpress.com/2026/01/28/avo…
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SAP HCM Payroll for S/4HANA: "I ensure that the single most important transaction in an employee's life—getting paid—happens flawlessly, so they can live their lives without fear."
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If you learn Vibe-Coding to solve problems you created yourself: You are the Author.
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