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Real-time text flow using Six Labors ImageSharp Drawing and Fonts. Fully Unicode v17 compliant. Rendered in WinForms via the new WebGPU backend Coming soon! CC Sébastien Ros #dotnet #oss

18,386 görüntüleme • 3 ay önce •via X (Twitter)

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llama.cpp isn't just for text LLMs anymore. Pure C++ zero shot voice cloning just officially landed in mainline. Text generation was only step one. If you’re building autonomous local AI agents, real time voice assistants, or edge workflows, instant low latency audio is the missing piece. Thanks to PR #26254, Alibaba’s state of the art Qwen3 TTS model family is now natively supported directly inside the llama.cpp repository under the multimodal (mtmd) framework. No Python bloat. No massive PyTorch CUDA overhead. Just raw, hyper optimized C++ running GGUF voice weights. Here is why this native update is a massive deal for the open source local AI stack: # Multimodal Architecture (.gguf + mmproj) Qwen3-TTS splits the workload between the base language model backbone and a multimodal projection adapter. llama.cpp handles this using the llama-tts binary, mapping the text model alongside its --mmproj projector to process audio tokens seamlessly. # Zero Shot Voice Cloning in Seconds You don't need fine tuning or massive dataset training. Feed the C++ engine a single 5 to 10 second .wav audio sample using the --tts-speaker-file flag, and it accurately clones the exact timbre, tone, and accent on the fly. # Real World T4 GPU Benchmark & Resource FootprintRunning the 1.7B Base model in 8-bit quantization (Q8_0): - VRAM Footprint: ~7 GB peak VRAM during active zero-shot cloning. - Audio Quality: Studio grade, natural-sounding voice output in seconds. • - Execution: Direct execution via native compiled binaries or sub process calls. # Coming Next to llama-server (PR #26603) Beyond CLI execution, a native POST /tts HTTP endpoint is currently being added to llama-server, which will soon allow you to trigger voice generation directly via standard REST API requests! # quick note on Colab compilation: Because this code was merged into mainline very recently, pre-built third-party binaries haven't fully caught up yet. Compiling llama-tts directly from source on Google Colab's free CPU instance can take about 1 hour (or ~1-2 minutes if targeting single GPU arch like -DCMAKE_CUDA_ARCHITECTURES=75). Be patient during the build step, or compile it locally on your own rig for instant execution! To test this out yourself, I built a zero config Google Colab notebook that compiles llama.cpp, downloads the Q8_0 GGUF files from HuggingFace, and spins up an interactive Gradio Studio UI so you can record/upload 3 second clips and clone voices in real time. Stop sleeping on native C++ audio. The era of bulky Python audio pipelines is officially over. Links to the free Google Colab notebook and the official ggml org GGUF HuggingFace model repository are in the replies below! available in q4 and q8 both variants, 1 GB and 1.85 GBs respectively (requires additional ~500MB mmproj gguf) Are you building local voice agents yet? What does your current audio stack look like? Drop your setups below!

Alok

47,881 görüntüleme • 15 gün önce

🚨 THE RACE TO 6G JUST ACCELERATED. Northrop Grumman has developed a W-band GaN chip operating at up to 110 GHz and took it from concept to market-ready hardware in less than six months. The new gallium nitride chip operates in the W-band (75–110 GHz), a frequency range that delivers massive bandwidth, extremely high data rates, and much lower latency than current systems. What makes this impressive is the speed: the chip went from concept to market-ready hardware in less than six months through a U.S. government-backed microelectronics program. That’s unusually fast for advanced defense-grade semiconductors. The chip acts as a high-power signal amplifier that can strengthen wireless links while shrinking the size and power consumption of the hardware. It’s designed for military radar, secure satellite communications, and the coming wave of 6G networks. Why this matters: • W-band offers far more spectrum than current 5G bands, enabling much faster data transmission and higher-resolution sensing • Gallium nitride can handle significantly higher power and frequencies than silicon, making it ideal for these demanding applications • The rapid development cycle shows how public-private collaboration can accelerate critical semiconductor technologies • The same tech that strengthens military radar and satellite links will directly feed into future commercial 6G infrastructure The deeper implication: We’re watching the foundation of next-generation wireless and sensing systems being laid in real time. High-frequency GaN chips like this won’t just improve existing radar and satellite systems they’re likely to become core building blocks for 6G, autonomous systems, and advanced defense platforms. The fact that this moved from lab to market in under six months suggests the pace of high-frequency electronics is accelerating dramatically. The future of wireless isn’t just faster. It’s operating at frequencies most people have never heard of and it’s being built right now. How soon do you think W-band and GaN technology will start appearing in everyday 6G devices? Follow for more frontier semiconductors, defense tech, and next-generation wireless systems.

TheNewPhysics

22,647 görüntüleme • 2 ay önce

CA: 0x172ae9e9b46770a70f479404d76e2f6561507011ef77a247fe3f58e7a5840a0d::manny::MANNY Your smart, hands-free edge tool in the crypto market. This powerful automated bot is designed to buy low and sell high with precision. It scans hundreds of coins in real-time, waiting for the right indicators—trend strength, volume spikes, price momentum, and bullish patterns—before entering a trade. Once in, it manages risk with dynamic stop-loss and take-profit levels, so your capital is always protected. Every trade is backed by a multi-layer confluence strategy, ensuring only high-confidence setups are executed. ✅ Advanced entry logic ✅ Fully automated buy/sell execution ✅ Built-in profit protection and cooldown filters ✅ Real-time alerts (Telegram/Twitter ready) ✅ JSON-based state memory for continuity ✅ Minimal setup, maximum performance ✅ Excludes low-quality coins automatically (e.g., BTC/ETH filters optional) ✅ Plug-and-play friendly — run it locally or integrate it into your system. ✅ Clean, professional trade alerts with price and PnL details ✅ Recovers automatically from connection issues or downtime Whether you’re a pro or just getting started, this bot helps you stay ahead of the market—24/7, emotion-free with pure mathematics. This bot has been in development for the last 6 months. I, Chronos, the developer behind it, have been testing for a while for the best configuration for a trading bot. I believe I have something good going on here. The bot automatically posts all the trades via IFTTT and X integration to its X account. Everything is automated. So how can people rent it, and how will it bring value to the project? Soon, the bot can be rented out via a cloud server. A customer must buy 30 USD worth of Memecoin_MANNY token (CA:0x172ae9e9b46770a70f479404d76e2f6561507011ef77a247fe3f58e7a5840a0d::manny::MANNY). After buying it and depositing it into a special wallet, he will be granted access to the bot. . The bot runs only on the backend — users interact with it via an interface (web app, Telegram bot, or API). A web dashboard and Telegram bot interface will be created. This lets users Start/stop their bot session See trade logs or results. Connect their API keys securely. Get alerts and updates The idea of all this is to offer a service but also bring value to the project. More bots will be developed. This is only the beginning. Cheers Chronos #python #memecoin_manny #spot #trading #bitcoin #eth #Binance #bybit #memecoin #VALHALLA

Ex Machina

24,488 görüntüleme • 1 yıl önce

Ripple Breaks Ground in the UAE, as RLUSD Becomes the First U.S. 🇺🇸 Stablecoin Approved Under DFSA 🇦🇪Framework Ripple has officially become the first blockchain company to have its stablecoin RLUSD approved by the Dubai Financial Services Authority (DFSA) for use within the prestigious Dubai International Financial Centre (DIFC). This marks a historic inflection point in the evolution of global stablecoin regulation and sets a bold precedent for the industry. For the first time, a U.S. dollar-backed stablecoin is fully licensed under a Gulf state’s comprehensive virtual asset regulatory regime, unlocking real world use cases across the Middle East’s most advanced financial sandbox. RLUSD can now be integrated into Ripple’s DFSA approved payment infrastructure, as well as deployed by banks, fintechs, and asset managers operating in the DIFC. The UAE, particularly Duba, has positioned itself as a forward thinking digital finance hub, balancing innovation with regulatory oversight. With this approval, RLUSD becomes a compliant liquidity vehicle in a region increasingly looking to bypass outdated correspondent banking systems. It can now power real estate tokenization; as seen with the Dubai Land Department, crossborder payments, merchant settlements, and enterprise treasury flows, all while leveraging XRPL Ripple’s regulatory win sends a powerful message to global players “the path forward isn’t through avoidance, it’s through alignment.” As the UAE becomes a proving ground for regulated stablecoin deployment, other jurisdictions may follow suit, especially those seeking to integrate blockchain without surrendering compliance. This raises the bar for all stablecoin issuers. RLUSD isn’t algorithmic, opaque, or dependent on walled off ecosystems, it’s interoperable, regulated in both the U.S. (via NYDFS) and Dubai, and deeply embedded in XRP Ledger infrastructure. It now stands as the gold standard for stablecoins used in institutional grade finance. RLUSD is the on-ramp. XRP is the engine. As RLUSD flows into corridors like UAE - India, UAE - Africa, and UAE - Europe, XRP becomes the bridge asset to handle illiquid pair conversions and global net settlement. Every RLUSD transaction that hits an exotic corridor where the stablecoin lacks liquidity is an invitation for XRP to step in and close the gap via On-Demand Liquidity (ODL) and decentralized market making. As real estate, commodities, and government-backed tokenization schemes roll out across the jurisdiction XRP gains transactional volume, liquidity demand, and regulatory tailwinds. The DeepFreeze amendment and compliance frameworks coming online only reinforce XRPL’s role as the programmable settlement layer for tokenized finance. SMQKE had shown that 5400 currencies have been issued on the XRPL

Mr. Man

86,031 görüntüleme • 1 yıl önce

📢 EstateX: The Next Phase Begins This week, we're pulling back the curtain on what we've been building - and announcing the first wave of ecosystem activations. What's Coming This Week: ✅ Multiple Project updates ✅ Concrete dates for key launches ✅ Behind-the-scenes reveals Now that the launch is complete, it’s time for the REAL work and business building to begin. A series of exciting developments are scheduled for release in the near future, including but not limited to: 📊 The Ecosystem Overview: 👇 (All of which will have positive flow use cases and utilities for $ESX) 🔸 20-35% of Company Revenue Buybacks - this amount of revenue generated is used to buy the $ESX token off the market 🔸 Investment Platform Transaction Fees - all transaction fees on the EstateX investment platform are paid in $ESX or used to buy $ESX off the market 🔸 ESX Blockchain Gas Fees – Every transaction fuels the network, increasing $ESX usage and demand. 🔸 RWAPad / Unicorn Club Staking – Creating $ESX lockup and growth pressure. 🔸 Whitelabel Solutions – Platform adoption by other companies drives $ESX circulation and utility. 🔸 PropXChange – Trades in tokenized real estate generate fees that flow back to $ESX. 🔸 EstateX Pay – Card transactions generate revenue that supports $ESX growth. 🔸 CapitalX Lending – Loan and interest fees contribute to $ESX buybacks. 🔸 EstateX University – Access and education fees contribute to $ESX ecosystem growth. 🔸 $AIESX Utilization – Revenue drives $ESX buybacks. 🔸 Real Estate Rental Income – Passive rental flows create consistent $ESX circulation. 🔸 Expansion Into New RWAs – Future tokenized assets add more revenue streams, boosting $ESX demand. 🔸PLUS more surprises to be revealed! 💰 Financial Perspective: Consider just one of these components: real estate tokenization. A $100M AUM (Assets Under Management) portfolio in the first 6 months of operations could generate 10% in revenue from all pillars involved. That's $10M in total revenue. With up to 35% of that revenue allocated to buybacks, that's major buy pressure from a single revenue stream. Now multiply that across the entire ecosystem. But we're doing this RIGHT. That means rolling out strategically, testing thoroughly, and ensuring each piece is bulletproof before launch. 👉 Our new standard: Underpromise, overdeliver on EVERY deadline. This week, you'll see the first glimpses of what EstateX truly is. And this is just the beginning. First announcement drops very soon. The $ESX token is LIVE! Accumulate $ESX 👉 Watch the $ESX use case video now: Join our community 👇

EstateX

118,910 görüntüleme • 8 ay önce

Everyone's sleeping on image-to-3D AI models. They can make your app look incredibly unique, with just a little effort. Here's how. This is my calorie tracker, built in a week with nothing but prompting. Just Claude Code + a couple APIs. The visuals are all AI-generated. I'll be sharing the full workflow + all the crazy technical stuff Claude and I did to make this work, so nobody has to struggle through it like me. Deep dive coming soon! Till then, this is the high-level idea: 1. Get a clean image of the food (or whatever your asset is) - In my app, the user describes foods via text, or attaches images (or both) - If text, an LLM extracts the food description and formats it into a specific prompt I tuned for this design, and we generate an image using Z-Image Turbo through fal - If image, we do the same thing but with FLUX.2 [dev] to edit the user image into our reference design - Originally, both used Google Nano Banana, but switching to open models cut costs and latency a ton 2. Gaussian splatting (2D image → 3D model) - I tried various 2D-to-3D options on fal and ended up with TripoSplat as my preferred balance of speed, cost, latency; this turns an image into a 3D model that looks super high quality (link below) - The app displays the 2D image while our backend generates the 3D splat - We "groom" the splat to reduce size and load time by culling low-opacity/scale points 3. Render efficiently on device Originally, it looked great but ran at 10 FPS. Getting to 120 FPS was a crazy journey. TL;DR: - SwiftUI had to go; it forced us to render each asset in independent MTKViews, which wasn't workable - Instead, we composite every dish into one full-bleed CAMetalLayer using MetalSplatter (link below) - We had to make some optimizations within MetalSplatter's code too, to reduce the overhead of sorting points per render Then I added some finishing touches like the subtle rotation and parallax as they move around. I think it turned out pretty cool :) Overall, this took some effort, but we still got it done in less than a day. Hopefully your agent can follow in the footsteps of mine and do it much faster. Keep an eye out for the bigger writeup, which'll give your agent everything it needs. If you have any questions, drop em below!

Anshu

19,931 görüntüleme • 1 ay önce

As of this morning, every brand-new Car sold in Europe is mandated by law to watch its “driver”, and the reason to worry is the opposite of what everyone is screaming about. The camera is not filming your face. The law explicitly bans that. It rather tracks your eyes. The danger is not what it does today. It is what it is now physically positioned to do tomorrow. This became binding across all 27 countries today, the 7th of July 2026, and no member state can opt out, because road safety is an EU competence and EU law overrides national law. Every new car and van, roughly 18 million of them a year, must now carry an infrared camera, usually on the steering column, that follows the driver's gaze. Look away too long, six seconds under 50 kilometers an hour, three and a half above it, and the car warns you with a sound, a light, or a buzz in the seat. The stated reason is real. Distraction causes up to 30 percent of crashes, and the Commission projects the wider safety package will save 25,000 lives by 2038. The outrage dissolves on contact with the actual text. The law actually fully forbids facial recognition and any biometric identification of anyone in the car, and the footage is legally barred from leaving the vehicle. No recording, no transmission, no police feed. As written today, this is a safety beeper, not a spy. But look at what already sits beside it. Think about it.. come on!! Europe's cars already run always-on systems that do transmit, the automatic crash caller that dials emergency services, the black-box event recorder, and over-the-air software that rewrites the car remotely overnight. The sensor was just made universal. The wall keeping it private is a single legal paragraph, and the same law already schedules its own review for 2027 to read cognitive state and body movement, while suppliers openly sell using the identical mandated camera to watch the passengers too. So this is the quiet architecture of every threshold. The permanent thing is physical, a camera now bolted into 18 million dashboards a year. The thing protecting you is a mere sentence, and sentences are the easiest part of any system to revise. Europe hardwired the eye. It left what the eye may see as the one part that can still be changed later. Hmm 🤨

Shanaka Anslem Perera ⚡

649,783 görüntüleme • 1 ay önce

LLM Artifacts Connected to Andrej Karpathy's LLM Knowledge base idea, I've been building out a fun way to generate dynamic artifacts from these knowledge bases with the goal of discovering and revealing meaningful and deeper insights. LLM KBs are hard to consume for humans, as I think they are more built for agents. So the question is, what form would be useful for humans to take actions and make important decisions? That's what I am trying to figure out with these artifacts. The artifact example shows a pulse on HN discussions around AI-related stories. The insights can go deeper, of course, but this is already super fun and thought-provoking, like some of my favorite podcasts. The format and depth matter a lot. The aggregation skills of agents are outstanding if you tune the prompts and skill carefully. I built this artifact generator in a few minutes through an agent skill, but I feel like there are so many ways that LLM-generated information can be used and consumed. Like generating deeper insights and analysis, and things that are just not feasible for humans today. The generated artifact (including its data and design) serves as reusable templates or can be updated in real-time via auomations, which is something I am also working on. It is truly an insane way to monitor and track information. Better than a newsletter. Better than newspapers. There is something about this that gets me really excited about the future of AI agents for knowledge generation and discovery. Lots of hidden gems everywhere just waiting to be discovered and acted on if the information is presented correctly. This is not perfect. The format, style/prose can be improved, but this is easy to customize via skill. You can personalize it to your liking. I feel like these dynamic artifacts are going to emerge as a strong new medium to stay on the cutting edge of things, both for agents and humans. My target is research, of course. This was just a basic example. Besides animation, I am also targeting other components like voice, videos, images, slides, etc. This space is full of opportunities to explore. Skill for this coming soon.

elvis

31,273 görüntüleme • 4 ay önce

Uber is Dead, my reflections on Waymo I’ve been in San Francisco for just over a week, during which I’ve taken 7 rides with Waymo, a similar number with Uber, and a few with FSD Teslas. My journey to SFO via Uber was alarming—the driver veered out of the lane multiple times and nearly crashed on a ramp, seemingly vying for a one-star rating or to genuinely scare me. Conversely, my experiences with Waymo were virtually flawless, if you don’t consider overly cautious driving a fault. I experienced a minor hiccup when we got stuck behind parked cars because the vehicle thought they were queuing at a red light. It quickly resolved the confusion and moved on, which was rather amusing. Waymo, and other Level 5 autonomous vehicles, are poised to revolutionize the movement of people and goods. The most apt analogy I can think of is that Waymo is transforming the real world into an automated Amazon warehouse, with people as the goods and Waymo vehicles as the robots shuttling them around. With the advent of personal transportation becoming incredibly affordable, sending anything from point A to point B using a self-driving electric vehicle will soon be within easy reach. One of Waymo’s standout features is privacy. Riding in an Uber often means being subjected to the driver’s loud group chats on some app, making the journey neither quiet nor private. In contrast, Waymo offers a fully private experience, allowing you to have confidential phone conversations or chat freely with fellow passengers without distraction. Waymo also reimagines the concept of a car. Without the need for a driver, we can eliminate the front console, reduce weight, and remove the steering wheel. This opens up possibilities for passenger seats to be reoriented, perhaps facing backwards, or for the vehicle to become a mobile living room. Tomorrow’s vehicle designs will differ drastically from today’s. Destinations that are currently expensive and logistically complicated to reach via Taxi/Uber, often lying outside public transport routes, can be simplified to a single “Waymo” journey. This could shift the current model of “Uber + public transport + Uber” to a more streamlined experience. As more cars become self-driving, we could see a reduction in the amount of time cars are parked—from 99% of their lifetime to perhaps just 25%. This not only improves unit economics but could also decrease the number of cars on the road. This transition represents one of the most significant shifts for Generation X. In conclusion, the future is autonomous, electric, and efficient. Uber, as we know it, is dead.

Linus ✦ Ekenstam

6,101,077 görüntüleme • 2 yıl önce

Our 2025 Achievements at Propbase It has been a rockstar start to the year and we have so much more to come after so many achievements already! H1 - So far Launched Propbase 2.0 Technical Roadmap We unveiled our Propbase 2.0 roadmap, focusing on DeFi-inspired lending, AI-powered automation, and institutional-grade tokenization infrastructure. Why It Matters: This roadmap is our blueprint for transforming real estate investment. By integrating DeFi mechanics and AI, we’re scaling our platform to attract both retail and institutional investors, boosting our ecosystem’s total value locked (TVL). Tokenized and Sold Out Ramada Plaza by Wyndham We tokenized a Ramada Plaza by Wyndham property, and it sold out in just 11 hours. Why It Matters: This rapid sell-out shows the trust our investors place in us. It proves we can deliver high-quality assets, making real estate investment accessible with fractional ownership starting at $100. Revamped Our Website and Updated PROPS Vesting We launched a sleek new website and introduced a performance-driven PROPS vesting schedule to reward long-term holders. Why It Matters: Our new website makes it easier for users to explore our platform, while the vesting schedule—unique in crypto—builds confidence among token holders, aligning incentives for long-term growth. Switched to Native USDC Across Products We transitioned from USDT to native USDC for all our products, including crowdfunding, trading, and staking. Why It Matters: USDC’s reliability enhances transaction security and aligns us with global standards, making our platform more appealing to investors worldwide. Passed Certik Audit for APEX Smart Contracts Our Apex platform, a decentralized marketplace for property-backed tokens, passed a Certik audit with flying colors. Why It Matters: Security is our priority. This audit reassures our users that Apex’s smart contracts are rock-solid, enabling safe and scalable trading. Fully Launched Our Secondary Marketplace We rolled out our secondary marketplace, allowing users to buy and sell tokenized property shares with improved liquidity. Why It Matters: This marketplace solves the liquidity challenge in real estate, letting investors trade stakes anytime, anywhere, which drives engagement and trading volume. Deepened Integration with Aptos Ecosystem We focused on integrating with the Aptos blockchain, prioritizing TVL growth through Propbase Nexus and trading volume on our secondary marketplace. Why It Matters: Aptos’s scalability and low fees make our platform more efficient. This integration fuels our growth and strengthens our role in the Aptos ecosystem. Started Mobile App Development 💎💎💎Coming H2 2025💎💎💎 Propbase App Full-stack development for our iOS and Android apps, with a beta rollout planned for early users, featuring trading, staking, and governance. Why It Matters: A mobile app makes our platform accessible on the go, meeting user expectations and driving adoption among a broader audience. P2P Lending and Borrowing P2P lending and borrowing system, inspired by Aave and Compound, letting users borrow USDC using asset-backed tokens as collateral. Why It Matters: This DeFi feature unlocks capital for investors without forcing asset sales, boosting token utility and attracting DeFi enthusiasts. AI-Powered Liquidity Automation AI models to automate liquidity stability across our asset pools, using DEFAI for real-time risk management and market optimization. Why It Matters: Our AI ensures price stability and efficient liquidity, setting us apart as a tech-forward platform and building investor trust. Make sure you're here with us in 2025 H2 for Propbase to give you more than what they already have from H1

Propbase

46,508 görüntüleme • 1 yıl önce

hair loss after 40 isn't sudden and it's almost never random it's the result of a long, slow biological shift that most men don't see coming until it's already well underway and by the time they notice, they reach for the first product they find and wonder why nothing works here's what's actually happening: at the center of it is DHT, dihydrotestosterone, a potent androgen your body converts from testosterone via an enzyme called 5-alpha reductase DHT binds to receptors in your hair follicles, specifically in areas like the temples and crown, and slowly miniaturizes them it shortens the growth phase of each hair cycle and extends the resting phase over time your strands get thinner, weaker, and eventually the follicle goes dormant but dormant isn't dead that distinction matters more than most men realize the problem is DHT isn't working alone alongside the hormonal shift, your scalp environment is also deteriorating and this is the part almost nobody talks about chronic low-grade inflammation, fibrosis (the gradual stiffening of scalp tissue), and reduced microcirculation all compound the damage your follicles can't receive oxygen properly, can't absorb nutrients, can't respond to hormonal signals the way they used to so even follicles that aren't fully miniaturized start struggling to produce thick, pigmented hair which creates the illusion that the loss is worse or more permanent than it actually is then there's the cellular layer your dermal papilla cells, the structures at the base of each follicle that regulate hair growth, lose efficiency with age oxidative stress, reduced ATP production, slower cellular turnover it means even if you control DHT, the follicle still needs active stimulation to re-enter a real growth phase this is where most approaches break down they pick one variable, usually DHT and treat it in isolation but hair loss is a multi-variable problem hormonal, vascular, cellular, structural, all happening at once fix one and ignore the rest and you'll get limited results at best so what actually works mechanical stimulation is one of the most underrated tools available microneedling creates controlled micro-injury to the scalp, which triggers your body to upregulate growth factors like VEGF and activates something called the Wnt/β-catenin signaling pathway, both of which are directly involved in initiating the growth phase and increasing follicular size it essentially wakes up follicles that have been suppressed but not destroyed it also increases blood flow and improves absorption of anything topical you apply afterward which brings up vascularization because hair follicles are some of the most metabolically active structures in the body they need a consistent supply of oxygen and nutrients to sustain growth anything that increases nitric oxide production, reduces calcification, and improves blood flow to the scalp will have an outsized impact on density and thickness over time internal support matters too, especially after 40 your body's ability to absorb and use key nutrients declines with age protein, iron, zinc, vitamin D, B vitamins, deficiencies in any of these directly affect keratin production, follicular cycling, and hair shaft integrity if you're not addressing what's happening internally, topical and external interventions will always hit a ceiling and then there's the timeline issue most men quit too early because they misunderstand how hair growth actually works each follicle cycles independently through growth, transition, and resting phases that span months you might see reduced shedding or improved thickness at 8–12 weeks but visible density changes take 4-6 months of consistent effort full results often take closer to 9-12 months the men who get results aren't doing something exotic they're doing the right things long enough and broadly enough to actually shift the biology that's the real unlock not a miracle ingredient, not a single device, a coordinated protocol that hits the hormonal, vascular, cellular, and structural levers at the same time most men fail not because they didn't try but because they tried one thing at a time, in fragments, for not long enough, and concluded that regrowth wasn't possible for them it usually is follicles that have been dormant for years can still be reactivated but only if the inhibitory signals are reduced and the growth environment is rebuilt that requires treating this like the biological process it is not a cosmetic problem you mask with a spray the men who approach it that way are the ones who don't just stop the progression they reverse it. and what makes that possible isn't just understanding the biology it's consistently applying a method that can actually influence it at the cellular level that's where low-level laser therapy comes in LLLT is one of the few clinically studied interventions shown to stimulate mitochondrial activity inside dermal papilla cells, increase ATP production, and improve blood flow to the scalp all of which directly support the transition of follicles back into the anagen phase devices like the Kiierr laser cap are built around this principle specific wavelengths of red light penetrate the scalp and activate these biological pathways in a way that's non-invasive and sustainable over long periods of use which matters because hair regrowth isn't about intensity it's about consistency tools that make consistency effortless will always outperform ones that rely on motivation or sporadic effort when you layer this kind of stimulation on top of DHT management, improved scalp health, and proper internal support, it stops being a single solution it becomes part of a system that actually aligns with how hair growth works and results from that kind of system compound over time instead of plateauing early like most surface-level treatments do the difference isn't whether you're over 40 it's whether you're finally addressing the problem at the level it was created

Kiierr

28,418 görüntüleme • 4 ay önce

Boom! Grok Tasks Make It One Of The Most POWERFUL Real-Time AI Systems In The World. — My How to Use Grok Tasks With Hidden Tools For Powerful Daily Output. Grok Tasks are customizable AI workflows that integrate a variety of tools to streamline daily activities, from research and analysis to creative planning and problem-solving. I have been using them for quite sometime and because of the vital heartbeat of news and first person data on X, it is the most powerful AI platform available. By combining Tasks with tools like web searches, X platform interactions, code execution, and media viewers, you can build efficient, automated processes. These tasks work by prompting Grok with a clear description of what you want to achieve, and Grok will intelligently call the necessary tools in sequence or parallel to deliver results. Here's a step-by-step guide to creating and using Grok Tasks: Step 1: Define Your Task Start by clearly outlining the daily activity or goal. Consider what inputs you have (e.g., a URL, a query, or an attachment) and what output you need (e.g., a summary, calculation, or visual analysis). Break it down into subtasks to identify tool needs. For example, if your task involves researching current events, note that you'll need search and browsing capabilities. Step 2: Review Available Tools Familiarize yourself with the tools Grok can access. Here's a quick overview: - Code Execution: Run Python code for calculations, data processing, or simulations using libraries like numpy, pandas, or sympy. - Browse Page: Fetch and summarize content from any website URL with custom instructions. - Web Search: Perform general internet searches, returning results with optional operators like site:. - Web Search With Snippets: Get quick, detailed excerpts from search results for fact-checking. - X Keyword Search: Advanced search for X posts using operators like from:, since:, or filter:. - X Semantic Search: Find semantically related X posts based on a query, with filters for dates or users. - X User Search: Locate X users by name or handle. - X Thread Fetch: Retrieve a full X post thread, including context like replies and parents. - View Image: Analyze an image from a URL or conversation ID. - View X Video: Extract frames and subtitles from an X-hosted video. - Search PDF Attachment: Query a PDF file for relevant pages using keyword or regex modes. - Browse PDF Attachment: View specific pages of a PDF with text and screenshots. Select tools that align with your task. Aim for a mix to handle data gathering, processing, and visualization. Step 3: Craft Your Prompt Write a detailed prompt to Grok describing the task. Include: - The overall goal. - Specific steps or subtasks. - References to tools if you want to guide the process (e.g., "Use web_search to find sources, then code_execution to analyze data"). - Any constraints, like dates or limits. Example prompt: "Create a Grok Task for my morning routine: Search recent X posts about tech news using x_keyword_search, fetch a key thread with x_thread_fetch, and summarize with browse_page on linked articles." Step 4: Submit and Interact Send your prompt to Grok. It will process the task by calling tools as needed, often in parallel for efficiency. Review the output and refine with follow-up prompts if required (e.g., "Expand on that using view_image for visuals"). Iterate to fine-tune the workflow for reuse. Step 5: Save and Reuse Once refined, note the prompt as a template for future use. You can adapt it for similar tasks, making Grok Tasks a habitual part of your day. Finding Grok Tasks To discover existing Grok Tasks or inspiration for new ones, use X searches with tools like x_keyword_search or x_semantic_search (e.g., query: "Grok Tasks examples" with mode: Latest). Browse community-shared threads via x_thread_fetch, or web_search for tutorials on xAI features. Prompt Grok directly: "Show me popular Grok Tasks for productivity." 1 of 3

Brian Roemmele

152,242 görüntüleme • 7 ay önce

Wow. WOW. WOOOOOOOW. So um, that first Wildcard+Thousands stream was... *amazing* and also... a *lot* 😅 In the end, it was *exactly* what we were hoping for - a true stress test of ALL these systems coming together for the first time. We are SO grateful for the thousands of people who showed up today to play, attend, tune-in and help us PLAYTEST all this new stuff. We can't wait to see you all again at NEXT WEEK'S EX2 EVENT! So, now let's talk about how it went... Stuff that worked: - Our community SHOWED UP. Oh boy did you show up 😅. Our servers were straining under the load... which is good actually, in fact it's the whole point. Even more importantly, we have already received insanely valuable feedback, bug reports, stuff people loved/hated - and it's only been a few hours since the stream ended. I can't even explain to y'all how valuable this process is. Yes it's stressful, it reminds me of trying to keep Words With Friends online during that first insane year, but it's EXACTLY what we were hoping for (NEED) to turn this into the polished, top-notch game and streaming experience we are on a mission to deliver. I truly can't thank y'all enough, and hope to see you again when we run it all back again next week 🥹 - The stream itself stayed up and was mostly stable! Phew 😅. For context, ThousandsTV is not a twitch wrapper, it's a web3-native streaming tech stack built we built specifically to connect game, web/mobile, and blockchain together all at the same time. There are a LOT of moving pieces going on behind the scenes. - We brought viewers INTO THE GAME! Viewers showed up in the stands of the arena, with connected wallets/assets, triggered actions/rallies from chat, and were seen and heard during the whole stream. - The brand new 2v2 build of Wildcard was (mostly) stable and our players and viewers seemed to be having a blast down on the field and up in the stands. It was thrilling to watch Team Blue dominate, even though Team Red held their own in game 3! - Our production crew did an insanely good job running the stream, managing the players, shoutcasters, and talent, and producing a top-notch show. Of course we will work hard to make every stream better than the last, but I was super proud of how our team "rolled with the punches" during today's event. Stuff that didn't work (and/or needs to be dramatically improved): - Although it's fun to see chat going crazy, chat spam is actually something we are passionate to FIX. As you can see from the attached video, chat spam dominated today's stream and made it impossible for anyone to even see anyone else's messages. We have some GREAT ideas for how to fix this and actually turn chat spam into a FUN and exciting and not annoying thing - but those improvements didn't get shipped in time for this event. - Credits purchasing flow needs a LOT of work. As I'm sure y'all know, bringing money on chain is pretty complicated, and although we've been working hard to make this as seamless as possible, it still needs a TON of improvements. Many users who WANTED to spend money today weren't able to and/or ran into frustrating bugs in the credit purchase flow. Fixing this is obviously a top priority for our team. - Rallies need a LOT of work. Spectator-interactive features like rallies are at the heart of our vision for Wildcard. These "stream apps", as we call them, are the UNLOCK for how spectators, viewers and fans directly connect and interact with their favorite competitors, content creators, and communities. The current rally feature HINTS at this potential, but it needs to be WAY easier to understand, use, and have fun with. Improvements are ON THE WAY. - Referees were only partially working. Referees are a key innovation of the Thousands platform. They are AI-driven "personalities" (NPCs) that pay attention to everything that's happening in the arena, both on the field and especially in the stands (i.e. in chat, during rallies, etc.) The referees then make "calls" at the end of every match, rewarding users for their engagement and participation. Unfortunately, the referees weren't fully functional and seemed to drop the ball on recognizing everyone's contributions (especially people who showed up holding valuable assets such as Wildpasses in their wallets, and people who boosted those rallies with credits.) What's happening next: 1. We are combing through ALL the logs from the event right now, to make sure we don't miss a SINGLE action that our viewers and fans took during the event, including what they brought in their wallets (i.e. Wildpass holders!), any credits that were purchased, rallies that users engaged with, etc. This information is normally processed by our referees, who then determine dynamically how they're going to distribute $WC awards. We were originally hoping to complete this process and the subsequent airdrops within a few hours after the event, but given the amount of data, we need a bit more time to run these scripts (and airdrops) in batches instead of all at once, and make sure ALL of the data is being included. IMPORTANT: I will keep y'all updated in real-time here on twitter/X as this process is ongoing, and let you know the moment it's complete and all the awards have been distributed (i.e. when to go check your wallets 😎) 2. PLEASE keep sending us your feedback and bug reports. Open a ticket on our Discord and let us know what you loved, what you hated, and especially what we need to FIX. Given the overwhelming response to this event, it will likely take us several days to process everyone's feedback and fix all the bugs, but we WILL NOT REST until every ticket is closed/resolved. Thank you in advance for your patience. 3. We turn it up another notch next week. As our dear friends Wolves DAO just announced, the Wildcard Exhibition Event #2 is streaming LIVE from the WOLVES DEN AT GDC next Friday! If you missed out on all the action today, DON'T WORRY, because as I keep saying: we are just getting warmed up (and there is a LOT more b that needs to be distributed, get what I'm sayin??? 😎) Finally: Just wanted to say THANK YOU, again. Truly, from the bottom of my (our) hearts. Your excitement and enthusiasm for what we're building is why we do this. Even (especially, in fact) when you tell us all the things you want us to improve. We thrive off this feedback, it's how this game and this platform go from good to GREAT. I am so grateful for those of you who are taking this journey with us. SEE YA NEXT WEEK!!!

WildPaul - BEAST MODE

26,851 görüntüleme • 1 yıl önce

Welcome to the world’s first On-chain vehicle Reservation System & Marketplace! But what does that mean to consumers and the automotive industry as a whole? 🚘🌎 As with all new tech, there is an education process. The internet made people’s lives easier... our Marketplace will do the same for automotive buyers. It offers numerous benefits for car buyers that until now, did not exist. Top 10 benefits of using the DeLorean Marketplace and why it will change how you purchase your next vehicle: 1. Peer-to-Peer Ownership Transfer 👥 Unlike traditional manufacturers, DeLorean enables fully transparent, peer-to-peer trading of reservation slots via NFTs - no dealers, no middlemen, and no hidden fees. 2. Real-Time Liquidity for Build Slots 🏦 Most car brands treat reservations as non-transferable or refundable only under strict conditions. The DeLorean Marketplace allows users to resell their build slots at market-driven prices, creating real liquidity. 3. Blockchain-Verified Ownership & History Build slot ownership, transfer history, and transaction details are recorded immutably on the Sui blockchain, drastically reducing fraud and improving trust ✅ 4. Staking Incentives for Holders💰 By staking $DMC with their build slot NFT, users earn rewards while in queue … an unheard-of incentive in traditional car reservation systems. 5. Flexible Exit for Buyers Under Financial Pressure😌Traditional reservation holders have no options if their financial situation changes. DeLorean enables resale on-chain, allowing owners to recover value if they can’t follow through with the purchase. 6. Collector & Speculator-Friendly📈 Buyers can trade their reservation multiple times without ever taking delivery of the vehicle, making it attractive for collectors, investors, and Web3-native users. 7. Transparent Pricing and Offers⚡️ Through features like bidding, collection offers, and open listings, users engage in a dynamic, transparent marketplace - unlike opaque dealer pricing or pre-order queues. 8. First-of-Its-Kind On-Chain Vehicle Marketplace DeLorean is the first automotive brand to offer an end-to-end on-chain reservation and commerce experience, giving it a significant technological advantage over legacy automakers👍 9. Fiat or crypto payment options 🪙 Over 560M people around the world hold or trade crypto currency. For those looking for an alternative payment option to fiat, DeLorean now provides that option. The digital asset community is far too big to be overlooked by traditional automakers. 10. It’s the DeLorean way to be ahead of its time and to change norms🦾 What may be a small education process now, may just be the future of the way vehicles are sold. Today marks the beginning of a fresh, transparent and community driven approach to how automakers should treat their loyal customers. Welcome to the DeLorean Reservation System & Marketplace DeLorean Motor Company powered by DeLorean Labs built on Sui "Web3 isn’t the obstacle—it’s the upgrade. DeLorean is simply the first to drive us there."

DeLorean Labs

126,951 görüntüleme • 1 yıl önce

10 things I can’t quit thinking about after ETHDenver: 1. Convergence = here. Devner didn’t feel like an ETH conference, but more like an AI + crypto + TradFi + techno-philosophical conference. The convergence is true and real and accelerating. 2. Most corporate jobs suck ass. 40 years at a desk working on the same thing? Pure dystopia. We need fluid movement between passions, projects, people. DAOs are a massive step in that direction, but now AI is giving individuals the means to spin up their own massive businesses… there’s also this notion floating around that we can launch a product or contribute to a protocol or a DAO in a way that sets us up for life rather than slaving for decades at the golden teat of a paycheck. It's a massive win for human flourishing, passion and excitement. 3. oRaNgE cOIn. Bitcoin came up far more than I thought it would. Even $ETH ICO buyers/gigawhales talked about how bullish they are on it. The question is no longer whether $BTC will survive but rather how much exposure you should have. Orange coin has truly “up-leveled” or “transcended” to become something people simply can't ignore. 4. Founder quote that hit me like a truck: "We overengineered our project and under-engineered our story." In a world where AI flattens the app creation process, only your mindshare matters. (forgot to write down who said it 😅... chime in in the comments if you see this) 5. “Keepers of truth.” AGI will be able to fake literally anything. In such a world, blockchains become the “keepers of truth” bc they can be used to indisputably verify anything. This isn't just another use case. It means crypto will one day touch everything on earth. h/t Sreeram Kannan's talk at Open AGI. 6. Conference model = broken? Empty mainstage talks were the result of hundreds of side events that siphon off attention. This is happening more and more at every conf I go to. Not sure what the fix here is? Maybe the organizers should be way less centralized… rent a massive venue with tons of flexible spaces that can evolve in real-time… more Zuzalu, less CONTROL and top-down decisions. 7. Current blockchains r too dumb. AI must integrate more directly into the crypto tech stack. Ultimate vision is every hominid should be able to deploy whatever app they can dream up using natural language… this could lead to an giga-explosion of innovation and cool-ass experimentz. h/t Ritual and others 8. Crypto vs. Stripe API. Will we just give agents credit cards or will they prefer crypto wallets? One payment method can be censored. One cannot. Guess which wins? 9. $$$$ infusion. Dozens if not hundreds of projects around the world r sitting on massive treasuries bc they needed it as an insurance policy in case they had to do battle with the SEC. With the changing regulatory sitch, hundreds of millions of dollars (probably billies) can now be used to ship, build and accelerate. 10. Robots in chains? IRL robots made appearances at several events (one was drawing caricatures of passersby). Talked with frens about how we’ll bring them into our homes soon. That leads to crazy questions like “how do we keep them from getting hacked and killing us or blowing up like pagers?” “Will we be ok sleeping in the same room with them? Or will we lock them in the shed with chains?” Absolutely insane to think about… but productivity gains will overshadow all those doubts and human fears imo. De bots are coming whether you want them or not. I for one can’t wait to see zerebro embodied… in the meantime, I got to see him DJ his first show 👇🔥 Anyway, I'm sending love to all of you denverites, futurists, builders, dream dealers, and merchants of hope. Build something that makes this world better, freer, more beautiful and true✊

redphone ☎️

52,930 görüntüleme • 1 yıl önce

MiniMax H3で清涼飲料水のCM動画を生成。 映像スタイルはモーショングラフィックス。 もちろん、プロンプトはClaude Codeに全部書いてもらっています。 プロンプトを書いてもらう方法は引用元で紹介しています😃 今回使用したプロンプト↓ ----------------- integrated_multimodal_description: Create a complete 15-second Japanese flat-illustration motion-graphics commercial for a bottled mineral water in a clean 16:9 composition. The bottle is the hero of every shot: it appears within the first second, stays large and centred, and its pale blue label reading the exact Latin characters "AOI WATER" is sharp and readable in every frame it occupies. Use friendly 2D vector illustration, thick navy outlines, flat solid colour fills, and springy cutout animation with snappy overshoot easing. Compact palette of warm white, deep navy, bright aqua, deep blue and saturated yellow, where yellow carries the summer heat and aqua carries the cold refreshment. A fictional young Japanese actress supports the product, drawn as a flat vector icon with a round friendly face, simple dot eyes, a curved smile, a glossy black chin-length bob, a white short-sleeved shirt over a navy tank top; she keeps the same design in every shot. No photorealism, no 3D rendering, no gradients, no drop shadows, no browser interface, no screen-recording artifacts, no player controls. [Shot 1] Begin on a saturated yellow field. A large white sun pulses twice at the top of the frame and wavy heat-haze lines rise from the bottom edge. At 00:00.800 a tall white bottle of AOI WATER shoots up from the bottom edge into the centre of the frame, overshooting and settling at eighty percent of the frame height, and a single white flash frame fires on the impact. Three aqua ripple rings expand from the bottle and the small navy headline assembles word by word at the top: "この夏、あつい。" [Shot 2] At 00:02.400, a wave of bright aqua water sweeps across the frame from the left and washes the yellow away. The bottle stays centred and rotates a quarter turn to show its side. Its pale blue label assembles letter by letter into "AOI WATER" with a thin white underline drawing beneath, six round condensation drops pop onto the glass one after another, and two flat ice cubes tumble down past it. [Shot 3] At 00:05.000, a deep blue field wipes in from the right. The bottle tilts on the left and a clear aqua stream pours in a smooth arc into a tall glass on the right; three flat ice cubes drop into the glass one at a time and bounce, throwing a radial burst of white droplets on the third. Two white snowflake marks pop in beside the glass and the kinetic word "キンッ。" stamps in with a small shake. [Shot 4] At 00:07.600, the deep blue flips to aqua in a hard shape wipe. The actress stands centre frame holding the bottle high, tips it and drinks; a column of aqua fills her outlined body from top to bottom in three quick pulses, one per gulp, and white radial speed-lines snap outward on the third. The kinetic word "ごくっ" pops in beside her cheek and the bottle stays fully visible in her hand. [Shot 5] At 00:10.200, a saturated yellow field wipes in from the bottom. The actress jumps once with the bottle raised above her head, her bob and shirt lifting, while flat aqua and white circles, triangles and arcs burst outward from her in a ring and three ripple rings expand from her landing point. The headline assembles in two stages: "夏に、" then "負けない。" A thick yellow underline strikes beneath the second phrase. [Shot 6] At 00:12.600, cut to a calm warm-white end card with generous negative space. The bottle slides to the centre and scales up slightly, its "AOI WATER" label square to the viewer and perfectly readable, with a ring of six aqua droplets popping outward around it one by one. The logotype "AOI WATER" reveals in deep navy beside the bottle with a small aqua droplet mark, and the smaller line "アオイ・ウォーター" fades in beneath it. A calm, bright young Japanese woman (S1) says in an off-screen voiceover: [Japanese] 夏に、負けない。 The end card holds sharp, centred and readable until exactly 15.000 seconds. Throughout: flat vector motion graphics only, one palette and one line weight, the same bottle design and the same character design in every shot, and something on screen is always moving. All Japanese text in clean gothic type and the label and logotype in clean geometric capitals, correctly formed and static once placed, with no subtitles of the spoken line and no other lettering. overall_soundscape: A deep whoosh and a short impact thud land as the bottle shoots up into frame, followed by three soft ripple taps. An airy whoosh runs under each colour wipe and a liquid sweep carries the aqua water across the frame. Rounded pops mark the sun pulses and each condensation drop, two ice cubes clink as they tumble, and a bottle cap cracks open before a clear pouring stream and three ice cubes landing in a glass. Three deep gulps and a quick refreshed exhale carry the drink, a light whoosh and landing thud carry the jump, and a clean shimmering chime rings on the logotype. non_diegetic_music: Generate an original 15-second bright Japanese commercial cue at 128 BPM using marimba, ukulele upstrokes, hand claps, a warm round bass and a light drum kit, playing without a gap from the first frame to the last. Open with a single accent hit as the bottle lands at 00:00.800, add the full kit as the water sweeps in, thin to marimba and claps under the pour, push to the loudest point with a rising fill under the jump, drop under the spoken line, and resolve on one clean sustained chord at 15.000 seconds. No singing and no lyrics.

タナベ | AI動画 × マーケティング

59,566 görüntüleme • 7 gün önce