Power banks are being bought 15k, 20k, 50k these days. These used to be the price of generators.

Creating a high-converting ad video for your website is a massive reality check. Doesn't matter if you are using a human pro or cutting-edge AI tools like Higgsfield—nailing that "perfect shot" for a trendy video format is tough. I’m currently testing a new ad concept for my site. I’ve already sunk around ₹5,000 trying to get it right, and I'm still tweaking the framework. But here is the silver lining with AI video generators: Once you crack the code on that first perfect template, recreating the concept at scale becomes incredibly easy. The setup cost is painful, but the execution phase is a breeze. Let's see how much deeper down the rabbit hole I have to go in terms of time and budget to hit the sweet spot. 🎬 If you’ve successfully cracked high-converting website ads using AI video workflows, drop your recommendations below. I’d love some insight! 👇

The pickup/drop-off mafias are the new revenue generators for Indian Railways.

🧠 𝗜𝘀 #𝗔𝗜 𝗿𝗲𝗮𝗹𝗹𝘆 𝗮𝗯𝗼𝘂𝘁 𝗺𝗼𝗱𝗲𝗹𝘀 𝗼𝗿 𝗮𝗯𝗼𝘂𝘁 𝘀𝗼𝘃𝗲𝗿𝗲𝗶𝗴𝗻𝘁𝘆❓ Most people are still focused on: → Chatbots → Generators → Faster models But that’s not where the real shift is happening. Save this 🔖 🎯 1️⃣ 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝘀𝗵𝗶𝗳𝘁 AI is no longer just a tool It’s becoming national infrastructure ✔ Science acceleration ✔ Defense systems ✔ Economic leverage ✔ Strategic control ⚙️ 2️⃣ 𝗪𝗵𝗮𝘁 𝗔𝗜 𝗶𝘀 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 We are entering an era where AI powers: → Scientific discovery at scale → Drug & material design → Autonomous defense systems → National AI strategies This isn’t innovation cycles anymore This is system-level transformation 🧠 3️⃣ 𝗦𝗼𝘃𝗲𝗿𝗲𝗶𝗴𝗻 𝗔𝗜 𝗶𝘀 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹 𝗴𝗮𝗺𝗲 ➡️ Countries are now building: ✔ Sovereign data ecosystems ✔ National foundation models ✔ Independent compute infrastructure Because relying on external intelligence is no longer sustainable 🌍 4️⃣ 𝗚𝗹𝗼𝗯𝗮𝗹 𝗿𝗮𝗰𝗲 → 𝗻𝗲𝘄 𝗿𝘂𝗹𝗲𝘀 This is not just competition➡️ It’s a shift in power → Over 50 nations are actively investing in AI dominance → Control of AI = control of future economies → Talent, compute and data are the new strategic assets ⚠️ 5️⃣ 𝗧𝗵𝗲 𝗺𝗶𝘀𝘀𝗶𝗻𝗴 𝗽𝗶𝗲𝗰𝗲 As AI scales, so do the risks: → Bias & fairness → Data sovereignty → Autonomous decision-making → Global governance gaps The next phase of AI leadership is not better models➡️ It’s responsible systems at scale 🚀 6️⃣ 𝗪𝗵𝗮𝘁 𝗰𝗼𝗺𝗲𝘀 𝗻𝗲𝘅𝘁 The winners won’t be the ones who simply build AI➡️ They will be the ones who own, govern and scale it. A perspective worth reflecting on ➡️ The next AI leaders won’t build models 🚀They’ll build sovereign systems! #AI #AIStrategy #Sovereignty #FutureOfAI #Leadership @enilev @Jagersbergknut @TysonLester @CurieuxExplorer @GlenGilmore @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @Analytics_699 @mikeflache @FrRonconi @Fabriziobustama @PawlowskiMario @theomitsa @drsharwood @kalydeoo @TAEVisionCEO @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @jornalistavitor @thomas_dettling @FmFrancoise @nafisalam @Mhcommunicate @Corix_JC @jblefevre60 @smoothsale @amalmerzouk @PVynckier @bbailey39 @SiddharthKS @NathaliaLeHen @jasuja @ralf_ladner @SabineVdL @mary_gambara @anand_narang @bamitav

TRI-MODE COMPRESS: TORUS FLUX WAVEFUNCTION System: Charged quantum particle on T^2 with U(1) holonomy (φ_u, φ_v) SID MODE (Structure / Interaction / Dynamics) STRUCTURE: Configuration manifold: X = T^2 = S^1_u × S^1_v u, v ∈ [0, 2π) Topology: π1(X) = Z ⊕ Z Cycles: C_u, C_v Gauge bundle: U(1) over X with flat connection A Hol(C_u) = exp(i 2π φ_u) Hol(C_v) = exp(i 2π φ_v) Hilbert space: H = L^2(T^2, du dv / (2π)^2) Basis: |m,n> ↔ Ψ_{m,n}(u,v) = exp(i m u i n v), m,n ∈ Z INTERACTION: Zero-flux momenta: P_u = -i ∂_u P_v = -i ∂_v Flux-deformed momenta: P_u^φ = -i ∂_u - φ_u P_v^φ = -i ∂_v - φ_v Interpretation: Holonomy shifts the generators of translations along u, v. DYNAMICS: Hamiltonian: H(φ_u, φ_v) = 1/2 [ (P_u - φ_u)^2 (P_v - φ_v)^2 ] Eigen-equation: H Ψ_{m,n} = E_{m,n} Ψ_{m,n} Spectrum: E_{m,n}(φ) = 1/2 [ (m - φ_u)^2 (n - φ_v)^2 ] PED MODE (Power / Evaluation / Dynamics on H) STATE EVALUATION: General state: |Ψ(t)> = Σ_{m,n} c_{m,n} e^{-i E_{m,n} t} |m,n> Position representation: Ψ(u,v,t) = Σ c_{m,n} e^{-i E_{m,n} t i m u i n v} Observables: Density: ρ(u,v,t) = |Ψ(u,v,t)|^2 Phase: θ(u,v,t) = arg Ψ(u,v,t) TEMPORAL STRUCTURE: Relative energy: ΔE = E_{m,n} - E_{m',n'} = 1/2 [ (m-φ_u)^2 - (m'-φ_u)^2 (n-φ_v)^2 - (n'-φ_v)^2 ] Beating frequency: ω = ΔE (ħ = 1) PED interpretation: Changing (φ_u, φ_v) reprograms all ΔE, hence all interference beats and pattern drift on T^2. Q MODE (Quantization / Invariants / Phase Structure) QUANTIZATION DATA: Integer labels: (m, n) ∈ Z^2 (topological momentum lattice) Flux parameters: (φ_u, φ_v) ∈ R^2 / Z^2 (defined modulo integers) Q-invariant: Spectrum depends only on fractional parts: {φ_u}, {φ_v} (Aharonov–Bohm class) Shifting φ_u → φ_u k, φ_v → φ_v l, k,l ∈ Z leaves all physics invariant (gauge-equivalent sector). PHASE / HOLONOMY STRUCTURE: Wavefunction is a section of a twisted U(1) bundle: Ψ(u 2π,v) = e^{i 2π φ_u} Ψ(u,v) Ψ(u,v 2π) = e^{i 2π φ_v} Ψ(u,v) (in a gauge where twist is pushed into boundary conditions) Q interpretation: - (m,n) label discrete modes on the torus. - (φ_u, φ_v) label continuous holonomy class. - Physical content lives in the relative pairing: (m - φ_u, n - φ_v) which is the Q-level “shifted lattice”. TRI-MODE SNAPSHOT SID: Torus geometry U(1) holonomy deformed momenta H(φ). PED: Flux-shifted spectrum → flux-dependent time evolution → braided interference patterns on T^2. Q: Integer mode lattice (m,n) fractional holonomy ({φ_u},{φ_v}) → invariant shifted lattice (m-φ_u, n-φ_v) as the core Q-object. Tri-mode compression: A torus with holonomy (SID) shifts the momentum lattice (Q), which retimes all interference beats into a braided wavefunction (PED).

RDG Charged Particle on Flux-Threaded 2-Torus SID: STRUCTURE Configuration manifold: X = T^2 = S^1_u × S^1_v u, v ∈ [0, 2π) Topology: π1(X) = Z ⊕ Z Fundamental cycles: C_u, C_v Gauge structure: U(1) bundle over X with flat connection A Hol(C_u) = exp(i 2π φ_u) Hol(C_v) = exp(i 2π φ_v) Flux parameters: φ_u = (q Φ_u) / (2π) φ_v = (q Φ_v) / (2π) Hilbert space: H = L^2(T^2, du dv / (2π)^2) Basis (structural modes): |m,n> ↔ Ψ_{m,n}(u,v) = exp(i m u i n v) m,n ∈ Z Inner product: <m,n | m',n'> = δ_{m,m'} δ_{n,n'} SID: INTERACTION Zero-flux momenta: P_u = -i ∂_u P_v = -i ∂_v Flux-deformed momenta: P_u^φ = -i ∂_u - φ_u P_v^φ = -i ∂_v - φ_v Interpretation: Holonomy shifts the relational momentum generators. SID: DYNAMICS Hamiltonian: H(φ_u, φ_v) = 1/2 [ (P_u - φ_u)^2 (P_v - φ_v)^2 ] Eigen-equation: H Ψ_{m,n} = E_{m,n} Ψ_{m,n} Spectrum (structural form): E_{m,n}(φ) = 1/2 [ (m - φ_u)^2 (n - φ_v)^2 ] PED: EVALUATION Time evolution: |Ψ(t)> = Σ_{m,n} c_{m,n} exp(-i E_{m,n} t) |m,n> Position representation: Ψ(u,v,t) = Σ c_{m,n} exp(-i E_{m,n} t i m u i n v) Observables: Density: |Ψ(u,v,t)|^2 Phase: arg Ψ(u,v,t) PED: DYNAMICS (Q-slice temporal structure) Relative energy: ΔE = E_{m,n} - E_{m',n'} = 1/2 [ (m-φ_u)^2 - (m'-φ_u)^2 (n-φ_v)^2 - (n'-φ_v)^2 ] Beating frequency: ω = ΔE (ħ = 1) Interpretation: Flux φ controls the temporal braid of interference patterns on T^2. SID/PED SUMMARY SID fixes: - Torus geometry - U(1) holonomy class - Momentum generators - Hamiltonian structure PED evaluates: - Spectrum shifts - Time evolution - Interference braiding - Observable density/phase fields RDG interpretation: Holonomy deforms SID-momenta → PED-spectrum shifts → braided temporal geometry

AI music generators are trained on an unfathomable number of songs, Alex Reisner reports. Search for an artist or track in four giant data sets he obtained: theatlantic.com/technology/2…

I wasn’t there in WNC but I followed those that were. I know I’ll never get over what happened. The lack of help for these people by the state of NC and by FEMA was so cruel. Daily posts of people dying from exposure in the winter. It was horrific! They were turned away by hotels where they were promised shelter! All I could do was contribute to every legitimate fund I could find and bought some generators for the RV’s on a fundraising drive. And I prayed incessantly. But I’ll never get over it and I’ll never believe our govt will be there for us ever again. FEMA under Biden purposely did not help these people. It was evil.

ZESCO says "no load shedding" and the government says "time for change." Honestly? I’m keeping my generators ready and my expectations very low. Who’s with me? 🔋💀

𝗣𝘆𝘁𝗵𝗼𝗻 5️⃣ Reverse a linked list 6️⃣ Check palindrome 7️⃣ Group word frequency 8️⃣ Fibonacci using generators

Are you kidding. Before Tesla electric vehicles were thought of as glorified golf carts. With the Roadster (08) providing an electric vehicle that went from 0-60 in 4 sec was unheard of. With the Model S (12) actually provided long driving in a luxury and performance package. The innovation in lithium-ion batteries and the ability to mount them vertically helped lighten the vehicle utilizing less energy to move the vehicle as well as larger battery capacity increasing time between charges. Don't get me started on their charging infrastructure, fast charging, and power wall setup for home charging as well as back up generators for the house. Tesla forced the market to advance to try and meet the standards Tesla had innovated.