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Make person level elevate fast abeg Data dey chop pass me sef😅 MTN take it easy 😩🙌 #mtnng #mtn #data #empty

174,747 görüntüleme • 15 gün önce •via X (Twitter)

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Heres an actual way to make $10k a month from TikTok + organic affiliate TT slides is probably the best way to make AI content for a few reasons > easy and not time consuming to make > much harder to detect images are AI > slideshows rarely get the AI label from TT (especially if you do what I’m gonna show you) >slideshows require less engagement to go viral (more consistent virality) >CTA can be more natural this AI slideshow format is going insanely viral consistently on brand new accounts and no one is even detecting it’s AI they’re super easy to make and use a story telling format that’s really smart you can take the exact same formula to promote sweeps offers from Glitchy and make $10k a month pretty easily here’s the blueprint >Content creation to create the slides realistic you can simply take a photo from Pinterest and put it into Gemini or Chat GPT and ask it to give you an EXACT JSON to recreate the image add in any details you want to add like “make her hair blonde” “make her eyes blue” take that JSON and put it into Nana Banana If you want her in certain backgrounds do the same process and add it in with the JSON of the girl you’ve created or just describe it Now clear the meta data from said image to stop getting the AI label If you still get it go to a meta data analysis site and put the data in ChatGPT Ask if their is anything in the meta data that is signalling this to TT >Writing scripts The reason these go so well it’s because they have a negative scroll stopping hook that instantly make you want to know what the slides going to say next “got fired from my job” “failed my exams” Along with the music that sets the emotion of the video It wouldn’t work as well if they had a random viral song that’s up beat plus the cherry on top is that the image correlates with what’s being said in the hook it’s self acting as a visual hook It wouldn’t work aswell if it was just an image of a girl on her bedroom >how to interpret sweeps Choose an sweeps offer from Glitchy for a retail store (Walmart/target) follow the same format of scroll stopping negative hook Example: “broke my arm” then you would tell a story that paints a bad working environment, maybe she got fired for breaking her arm and is now exposing secrets and your CTA would then be “they don’t promote this but they have a secret feedback program” this is just to give you inspiration but there is literally countless ways >account set up - US proxy / US sim - Download TT with US proxy on - Buy aged account (to help with account trust and getting banned due to proxy issues) - warm up for 2 days (scroll vids all the way through, like, comment authentic things relating to video) Then you post This is a very good way to at least reach a couple K a month but I’d be surprised if you don’t reach $10k beyond

Pounds

10,886 görüntüleme • 7 ay önce

The future of footwear may not be manufactured in bulk. It may be fabricated around you. That is what makes this shift so interesting to me. 3D-printed footwear is moving from novelty to a real industrial model, with market forecasts pointing to rapid growth over the next decade. At the same time, brands and manufacturers are using additive manufacturing, digital design, and custom-fit workflows to shorten development cycles and make more personalized products viable. What is new here is not just the printer. It is the system around it: → scan the foot → model the fit digitally → print the part on demand → produce closer to the customer That matters. Because once footwear becomes data-driven and locally fabricated, several things change fast: → fit gets more personal → prototyping gets faster → waste drops because you do not overproduce → inventory pressure falls because you do not need to guess demand the same way To me, that is the bigger signal. This is not just about a better sneaker. It is about a different manufacturing logic. Formlabs notes that 3D printing already enables customized orthotics with better biomechanical precision, lower material waste, and simpler digital workflows. McKinsey has also pointed to digitization and 3D design as a way to shorten design cycles and reduce sampling iterations in apparel and footwear. And once that logic matures, the use cases get much bigger: → custom athletic footwear built from gait and pressure data → hospitals producing orthotics faster and closer to the patient → micro-factories making products on demand instead of stocking shelves → footwear designed for one body, not an average body That is why I think this matters now. The question is no longer whether personalized fabrication is possible. It is whether brands move fast enough before customers start expecting every product to fit like it was made only for them. Would you actually wear a shoe fabricated around your own biometric data? #AI #3DPrinting #Footwear #Manufacturing #Innovation #FutureOfWork #RetailTech #Customization #Technology

Pascal Bornet

47,489 görüntüleme • 4 ay önce

This is a typical example of “while men slept”. Make we sha no dey do watin go cary us go hell fire ooo 😒. God abeg!!! First of all, Imisi is not an “uneducated Yoruba woman”, as you said. She's proud of who she is, who God has made her, and most importantly where she came from (Ebute Meta), she never hides it for once, she carry am for head like gala. Let's get it straight abeg! You can excuse everything with fancy words, but let’s not twist facts to suit our narrative, remember, everyone is watching: Faith dragged a pot, insulted Imisi as “uneducated Yoruba alubosa (onions)” reduced her to his maid at home. At least, if he doesn't respect Imisi, he should respect the person (his maid at home) who cares for him at home. I have attached the video of the part that was deliberately left out, you can watch it in case you missed it. That wasn’t just a slip, it was aimed to degrade her. Imisi has always been the bigger person, laughing off insults that would break others. If Imisi does not appear as the most glamorous housemate, we believe that does not make her less of a woman, and the narrative of “in real life she can never near me” and I'm happy to tell him that in real life their path will never cross too if not for the show✌🏾 Imisi is more than their taunts, she is talented, strong, and hearty. Come what may, she will continue to stand up for herself in the face of it all with her TEN TOES DOWN!!! #ImisiAyanwale #BBNaijaS10 #BBNaija cc: Big Brother Naija MultiChoice Group

IMISIOLUWA🧡

477,897 görüntüleme • 1 yıl önce

🔄 Ever wondered how a substation “understands” electricity? Currents flow. Voltages fluctuate. Temperatures rise. But protection relays don’t read analog waves — they read numbers. Before a breaker trips or an alarm appears on SCADA, an invisible process converts raw electrical signals into digital intelligence. That silent hero? Analog-to-Digital Conversion (ADC). Let’s break it down step by step 👇 📡➡💻 From Analog Signal to Digital Decision 1️⃣ Low-Pass Filtering (Anti-Aliasing) ⚙️ Purpose: Remove high-frequency noise before sampling. Why? If unwanted frequencies enter the ADC, they cause aliasing — distortion that corrupts measurements. 💡 Clean input = accurate digital output. 2️⃣ Sampling 📉 The continuous analog waveform is captured at fixed time intervals. Sampling rate matters. Too slow → information loss. Too fast → unnecessary data overload. In power systems, sampling is often synchronized with system frequency (50/60 Hz). 3️⃣ Quantization 🪜 Each sampled value is approximated to the nearest discrete level. Resolution depends on ADC bits: • 8-bit → 256 levels • 12-bit → 4096 levels • 16-bit → 65,536 levels Higher resolution = finer accuracy in current and voltage measurement. 4️⃣ Encoding 🔢 Quantized values are converted into binary form. Example: Analog value → Quantized level → 110010 Now the signal is no longer a waveform — it’s data. 5️⃣ Digital Output 📲 The binary stream is transmitted to: ✔ Protection relays ✔ IEDs ✔ RTUs ✔ SCADA systems From here, algorithms detect faults, measure harmonics, calculate power, and trigger protective actions. 🧠 Without accurate ADC: ❌ Protection misoperations increase ❌ Fault detection becomes unreliable ❌ Automation decisions degrade With precise ADC: ✔ Real-time protection ✔ Advanced fault diagnostics ✔ Accurate metering ✔ Seamless IEC 61850 integration Every digital substation depends on clean, time-synchronized data. ⚡ From a simple CT secondary current to a breaker trip command — it all begins with precise sampling and conversion. Next time you analyze disturbance records or SCADA logs, remember: Behind every number lies an ADC working in microseconds.

Taha Alasemi | طه العاصمي

24,450 görüntüleme • 6 ay önce

We all remember. We all remember when blockchain was pitched as the next big thing. And today, we feel like we’ve been waiting and waiting. Until recently, Blockchain was too expensive, slow under load, and hard to integrate for most businesses. So enterprises ignored it. It didn’t solve their business problems. That’s changed. Why blockchain, why now? Businesses don’t care about the tech, they care about cost and performance. They’d ask a simple question “Does it save or make me more money?” For a long time, blockchain didn’t clearly do this. That’s no longer true. Blockchain is proving real business cases, especially on Avalanche. On Avalanche, transactions cost fractions of a cent. settle in about a second. And instead of forcing everything onto one shared chain, businesses can launch their own Avalanche L1s with their own rules. To understand this let’s identify the problem and then provide the solution in a way that's easy to understand. Where Businesses Lose Money Most large industries lose money due to operational inefficiencies. Data lives in different systems. Teams spend hours reconciling records that should already match. Intermediaries sit in the middle, taking fees to coordinate all of it. Individually, each step looks small. Together, they create real cost: > Labor spent on manual processes > Capital locked up during settlement delays > Fees paid to intermediaries > Risk introduced by time gaps and mismatched data This is where businesses actually lose money. Not in big, obvious ways. In constant, compounding friction. Take Private Credit, for Example Private credit is loans held outside of traditional banks. It’s a multi-trillion dollar market, and much of it still runs on spreadsheets and weekly reconciliation processes. Loan data is tracked across systems. Teams manually process requests. Funds move on traditional rails, often on delayed cycles. It doesn’t have to be this way Entire teams exist just to keep systems in sync. Now move that system onto Avalanche. Loan data updates in real time. Transactions settle in about a second. Every participant sees the same state instantly. Reconciliation isn’t a separate step because the system itself is the source of truth. The impact is straightforward. > Reduced manual work > Shortened settlement cycles > Fewer layers of coordination between parties Avalanche is Infrastructure for Real Businesses Avalanche is designed to match how businesses actually operate. Instead of sharing a single chain, they can launch their own Avalanche L1s with custom rules, built-in compliance, and predictable performance. They control the system. Avalanche’s Moment For the longest time, blockchain naysayers said this could all be done better with spreadsheets or existing systems. They were right. That’s what the technology allowed. Now it’s changed. Avalanche can replace many of those systems with real-time settlement, shared data, and automated execution. For the first time, the economics work. Built for business. 🔺

Avalanche🔺

13,142 görüntüleme • 5 ay önce

Colmap 4.0 was very recently released, so it inspired me to do some work to better understand it and its new capabilities with Rerun. I want to really understand how Colmap, and in particular, pycolmap, works outside of just calling it via the CLI. So my goal is to use the low-level pycolmap API to log every part of the pipeline. The explicit goal is to have an alternative to the SQLite database that I can utilize. Instead of SQLite, I want to try logging everything directly to rerun and use RRD. This means I can have deep inspectability and still save the features/matches/2D view geometry, but be able to view it directly in rerun. I think this is one of the superpowers that rerun provides; data and visualizations are deeply integrated. As I'm often working with sequential data (videos), I'm going to specifically focus on four things: 1. Monocular Video Simple: Calls high-level APIs such as pycolmap.extract_features, pycolmap.match_sequential, pycolmap.incremental_mapping. These are basically identical to the CLI options and provide a good baseline. 2. Monocular Video Streamed: Take the above high-level APIs and break them down to their iterator version, logging each component in a streamed manner. This way, I can stream the intermediate features to rerun while the extraction/matching/mapping is happening. 3. Rig with unknown calibration: <- WHAT THE VIDEO SHOWS This is probably the most interesting version and the first one I've been working on. It allows one to set a rig between known sensors, such as in VR/AR devices, leading to much better reconstructions with multiple cameras. This is the case where we don't know the calibration a priori, so we have to run a reconstruction twice: once as a normal Colmap reconstruction with no rig constraints, use this to generate the constraints, and then do it again with the newly found rig. 4. Rig with known calibration: This is the RoboCap example, where we have a pre-calibrated set of sensors, so we don't need to run the two reconstructions and also gain better matching between cameras, both spatially and temporally. Again, this leads to a much better reconstruction! Along with all this, GLOMAP has become a first-class global mapper, making it super easy to use directly within pycolmap! I'm excited to do more with this and compare it to things like pycuvslam, vipe, and other alternatives.

Pablo Vela

30,070 görüntüleme • 5 ay önce

The reason I never take Beyoncé criticism online seriously, and why it rarely goes anywhere, is because so much of it is disingenuous and comes from a place of already disliking her, often conveniently disguised as “I’m BeyHive myself.” Beyoncé sells a box and suddenly the conversation is about data centres destroying communities, famine, Palestine, classism, low wages, and every other social issue people can attach to it. It’s a box. It’s not an essential commodity. Apparently Beyoncé should price it, and her merch, so that everyone can afford it. But by that logic, every artist should price their tickets, merch, vinyl, and everything else according to what even their poorest fans around the world can afford. Because even a $40 price tag is unaffordable to some fans in developing countries. You see how quickly that argument falls apart? And ironically, it reeks of the same privilege you accuse certain fans of wielding over others. Your own definition of “affordable” is already determined by where you live and what you earn. And “the box is empty” isn’t really the argument people think it is either. It’s empty to YOU. You might look at it and see something worthless, overpriced, or greedy because there isn’t enough tangible value there for you. That doesn’t mean someone else sees the same thing. For another person, the value might literally be in owning it, collecting it, or being part of that small “exclusive” group of people who bought it. People do this all the time. That is how branding has always worked. There are brands selling limited-edition trays, mugs, boxes, notebooks, and random objects for thousands of dollars that might only appeal to 20 people. The fact that you personally would never pay that price does not make the product illegitimate. It just means you are not the customer for that particular product. And this is exactly why so much of the social media activism directed at her never sees the light of day outside these online spaces. The arguments become so exaggerated that whatever legitimate criticism might have existed gets buried underneath them. Beyoncé IS a brand, and increasingly, a LUXURY brand. No brand has ever catered to every segment of its customer base with every product it sells. Sometimes you’ll be priced out by cost. Sometimes you simply won’t see enough value in the product to justify the price. Someone else will. You decide where you land on that and leave us alone. Abeg

IChooseViolence

23,877 görüntüleme • 11 gün önce