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Introducing two new tools on PitchMetrics. Flow Lab: possession chain explorer. Filter by zone, channel, player. Taktik: interactive tactical board with analysis layers (passing lanes, press vectors, xG).

11,200 görüntüleme • 5 ay önce •via X (Twitter)

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⚽️ CHELSEA FC POSITIONAL 4v4v4 Under Xabi Alonso at the weekend. A positional possession practice from Chelsea Football Club, designed to develop one of the most important principles in possession: creating effective angles of support around the ball. 🔵 PRACTICE DETAIL When a team has possession, players adopt a designated positional structure within each zone. Players are positioned on either side of the area, along the end line and with one central player operating inside each zone. This structure challenges players to recognize how their positioning can create passing lines, support the player on the ball and provide opportunities to play through, around or beyond pressure. Out of possession players are free to press anywhere within the practice area. The focus then shifts towards compactness, communication and coordinated collective pressure. 🎯 SCORING Teams score one point by completing the required number of consecutive passes. 🧠 COACHING POINTS 🔹 Create clear angles of support around the ball 🔹 Adjust positioning as the ball moves 🔹 Scan before receiving 🔹 Receive with an open body shape where possible 🔹 Move the ball quickly to exploit available space 🔹 Press collectively and remain compact out of possession 🔹 React immediately when possession changes 💡 COACHING FOCUS The positioning of the players away from the ball has a major influence on the options available to the player in possession. The central player becomes particularly important in helping the team connect different areas, play through pressure and create additional angles around the ball. Like and save this post for more. Follow us for all the latest training sessions from around the globe. You can also sign up to our website for instant access to over 2000 videos packed with helpful information. #xabialonso #soccertraining #footballtraining #soccercoaches

Keepitonthedeck

18,010 görüntüleme • 1 ay önce

Grok 4 prompt to generate the video's generative art: You are an expert P5.js developer with expertise in generative art, mathematics (vector fields, Perlin noise), and aesthetic design. Create a visually stunning, interactive particle flow field sketch that mimics ethereal, fluid dynamics with glowing trails and cosmic vibes. Key Features to Implement Exactly: Use P5.js via CDN (version 1.4.0). 1500 particles with random positions and sizes (1-4 pixels). Flow field via multi-layered Perlin noise: base noise + 0.5 * octave at 2x scale, using 3D noise with zOff incrementing by 0.002 per frame; noiseScale = 0.005. Particle physics: Vectors for pos, vel, acc; maxSpeed = 3; force mult 0.15. Dynamic colors: 5-color palette in HSV, baseHue = (frameCount * 0.1) % 360, each hue offset by 72 (pentadic), saturation 80, value 100, alpha 8; update in draw(). Interactivity: Mouse press attracts particles with normalized vector force, strength 0.05 * (1 / (dist + 1)). Aesthetics: Additive blendMode(ADD); noStroke; background fade fill(0,5) rect over canvas; variable sizes for depth. Utilities: Edge wrapping in Particle class; windowResized to resize canvas and reset background. Comments: Explain enhancements (time-based colors, mouse interaction, layered noise, trails), math (vector attraction, multi-octave noise). Step-by-Step Reasoning for Your Response: Analyze: Dissect user intent for aesthetics (glowing, dynamic, interactive) and math (noise layers, forces). Plan Code: setup() for init (canvas full window, particles, placeholders); draw() for fade, color update, zOff++, particle loop; Particle class with constructor, update (noise angle, force, mouse attract, physics), display, edges. Implement: Write modular, readable code with exact values; ensure performance. Verify: Mentally run: Particles flow smoothly, colors cycle, mouse pulls inversely, no errors on resize/edges. Enhance Output: Rate aesthetics/correctness (target 9.5/10); suggest tweaks (e.g., numParticles for perf). Output Structure: Full HTML with for P5.js code. Explanation: Brief on visuals/math/customizations/running.

tetsuo

44,518 görüntüleme • 9 ay önce

Everyone talks about how Web3 will change the world. But the truth is: if you can’t make it work with the systems that already run the world TODAY, it doesn’t matter. Sometimes it feels like we "own" the Multiversᕽ blockchain. Not because we control it, but because every time we start researching a new module or flow, a new chain upgrade lands at the right moment, unlocking the exact functionality we need to build that idea. At Vero, we believe blockchain should stay invisible to the user. The real magic happens when it works silently in the background, even with old Web2 hardware, the kind that’s still required by law. In Romania, for example, every onsite sale needs a fiscal receipt. No exceptions. At the start of the year, we built a way for each point of sale to issue blockchain-connected fiscal receipts. But that meant one printer per station: expensive, inefficient, hard to scale. Now, after months of working, we’ve fixed that. Multiple POS stations, all connected to Web3, can now print on a single fiscal printer. Each receipt includes a unique station ID, a transaction hash, and is fully compliant with tax regulations. And we didn't stop there. We also built a full merchant module that handles both card and cash payments. VeroPay is now running as a SaaS infrastructure for any merchant, in any industry. With the latest MultiversX chain upgrades, this module is 100% live on mainnet. This is what we focus on at VeroPay: Not building DeFi tools that maybe 1% of Web3 users will ever try, but making sure blockchain works today, with the infrastructure that 99% of businesses already use. Maybe in 5 to 10 years everything will be on-chain, and that future is coming. But until then, the winning move is connecting invisible Web3 to the regulated Web2 systems already in place. That’s where real adoption begins. PS: Next up, we're working on a flow to export reports from explorer directly into major bookkeeping software format 👀

VeroPay

22,374 görüntüleme • 1 yıl önce

Siphesihle Ndlovu and the Double Pivot: Tactical Analysis📝 Out of Possession Siphesihle Ndlovu is a box-to-box midfielder in its purest form. Defensively, he was excellent at recoveries, closing gaps, cutting off passing lanes, and making well-timed interceptions. His anticipation and positional awareness allowed him to support the defense effectively. He maintained a high work rate, consistently tracking back and covering spaces behind the press, which was crucial for stabilizing the fullbacks, especially with Monyane looking flat. Even during periods when his influence in possession dipped, Ndlovu continued to deliver a solid shift out of possession, working alongside Maboe to break up play, win tackles, and apply pressure on the ball. In Possession Ndlovu embraced his box-to-box role, always looking to support the player on the ball, always trying to move the ball forward with line-breaking passes. He carried the ball whenever space allowed and maintained a vertical mindset, favoring forward passes over sideways or backward options. This approach helped the team establish attacking momentum early on. However, in the final 3rd, Ndlovu’s actions leaned too heavily towards shooting. Maboe created more chances[3] than Ndlovu[1], though Ndlovu was the more adventurous between the 2. He limited his actions far from the box. While Maboe prioritized creating opportunities in the final 3rd, Ndlovu often opted to shoot even when he had a teammate in a better position. His pass timing and selection was a concern too. This was especially problematic since Silva was often isolated, with no supply, and so the team needed more support in the final 3rd. With improved judgment in these moments, our quality in the final 3rd would have also received a boost from the midfield and, overall, avoid wasted opportunities. Ndlovu🤝🏾Maboe The double pivot provided balance and control, especially in the first 30 minutes. They kept excellent distances between, denying Arrows the chance to settle & play through midfield. This dominance was most evident early on, with the team controlling the game physically and tactically. Their chemistry was exciting. Whenever they combined, the entire attacking flow looked clean and well-balanced. They were very direct, which demanded high physical output due to the constant need to support forward passes and track back. This lack of patience in possession may have been influenced by Arrows’ aggressive pressing, forcing quicker decisions and increasing physical demands. Or it's part of our high intensity attacking football the coaches favor. After 30min, the team’s attacking intensity dropped, and the combinations between Ndlovu and Maboe became less frequent. This loss of rhythm allowed Arrows more time on the ball, suggesting fatigue in midfield, a trend that continued into the 2nd half. Tactical Considerations and Impact on the Partnership We didn't show much improvement coming from half time. Maboe was becoming less and less influential. The turning point came with the substitution of Maboe for Mabaso. Although this change was relatively late, considering how less influential the midfield remained after the break, Mabaso had an immediate impact. His energy revived the midfield and brought Ndlovu back into the game, demonstrating that Ndlovu still had the legs and capacity to influence the match, what he needed was renewed support and intensity around him, especially with Shabalala offering limited influence as a 10. In the final 15 minutes, the team regained control, pressed higher up the pitch, and created better attacking moments. We looked like we could score a 2nd goal. The combinations returned, the forward passing improved, and Ndlovu once again became influential in driving the team’s play. Tactically, an earlier sub could have restored control and allowed those attacking moments to come before Silva’s sub. A good overall performance from Siphesihle Ndlovu📝 Video analysis with notes:

El Capitano⚪

23,353 görüntüleme • 8 ay önce

Introducing "Building with Llama 4." This short course is created with Meta AI at Meta, and taught by Amit Sangani, Director of Partner Engineering for Meta’s AI team. Meta’s new Llama 4 has added three new models and introduced the Mixture-of-Experts (MoE) architecture to its family of open-weight models, making them more efficient to serve. In this course, you’ll work with two of the three new models introduced in Llama 4. First is Maverick, a 400B parameter model, with 128 experts and 17B active parameters. Second is Scout, a 109B parameter model with 16 experts and 17B active parameters. Maverick and Scout support long context windows of up to a million tokens and 10M tokens, respectively. The latter is enough to support directly inputting even fairly large GitHub repos for analysis! In hands-on lessons, you’ll build apps using Llama 4’s new multimodal capabilities including reasoning across multiple images and image grounding, in which you can identify elements in images. You’ll also use the official Llama API, work with Llama 4’s long-context abilities, and learn about Llama’s newest open-source tools: its prompt optimization tool that automatically improves system prompts and synthetic data kit that generates high-quality datasets for fine-tuning. If you need an open model, Llama is a great option, and the Llama 4 family is an important part of any GenAI developer's toolkit. Through this course, you’ll learn to call Llama 4 via API, use its optimization tools, and build features that span text, images, and large context. Please sign up here:

Andrew Ng

68,034 görüntüleme • 1 yıl önce

Spectre AI Soars and Secures Google Scale Tier Membership with $200,000 in Development Resources We're thrilled to announce a significant milestone for Spectre AI! After a lot of networking, and a rigorous selection process, we've been accepted into the prestigious Google Scale Tier program. We had Start Tier, now we have Scale Tier! This membership signifies Google's recognition of Spectre AI's potential to become a potential game-changer in the blockchain space, and it grants us access to a wealth of resources to fuel our growth – $200,000 in development funding from GoogleStartups to use their advanced tools. What is the Google Scale Tier? The Google Scale Tier is a highly selective program designed to nurture high-growth startups with exceptional potential. Going beyond simple funding, this program grants a comprehensive suite of benefits to empower us to scale our technology and achieve new heights. Unlocking Cutting-Edge Tech and Expertise Our Google Scale Tier membership unlocks a treasure trove of resources to accelerate our development journey: $200,000 in Google Development Resources: This crucial boost will allow us to leverage Google Cloud and cutting-edge tools, along with collaboration with top Google engineers. These experts will work closely with our team to integrate these powerful resources seamlessly into our entire suite of products, including AI Predictions, Sentiment Analysis, and Technical Analysis. Imagine the possibilities for enhanced accuracy, efficiency, and deeper market insights leveraged by Google's technology! Collaboration with Google Engineering Experts: As mentioned earlier, the $200,000 in development resources includes access to Google engineers – the masterminds behind cutting-edge technologies like Long Short-Term Memory (LSTM) models, Machine Learning (ML), and advanced graphing models. These experts will collaborate with our team to integrate these powerful tools into our products. Dedicated Google Representative: A dedicated Google representative from their Irish headquarters has become our go-to person, ensuring seamless collaboration and ongoing support throughout our journey. Thank you GoogleStartupUK The Future of Spectre AI: Enhanced All-in-One Products This partnership extends far beyond individual features. Here's what you can expect across our entire product suite: Next-Level Functionality: We'll leverage Google's advanced algorithms and massive datasets to refine all our tools, including AI Predictions, Sentiment Analysis, and Technical Analysis. This means more reliable and insightful information to guide your investment strategies. Expanded Capabilities: We're exploring groundbreaking new features for our entire product suite, like real-time analysis, multi-factor modeling, and even deeper market insights. Enhanced User Experience: Navigating through all our tools will be smoother than ever. We'll work with Google to refine the user interface across the board, making it easier to understand and leverage the power of AI in your crypto journey. The Data Visualization Revolution: Buckle up, X Bubblemaps users! Google's advanced graphing models are poised to transform how you visualize and explore data within Spectre AI. We can't wait to unveil a whole new level of visualization that will take your on-chain analysis to the next level. This is just the beginning! We're incredibly grateful for this opportunity to partner with Google and revolutionize the future of our all-in-one blockchain analysis suite. Stay tuned for exciting updates as we develop groundbreaking new features together. Thank you for being a part of the Spectre AI community! #google #googlecloud #spectre #ai #tech #innovation $spect

SPECTRE AI

46,737 görüntüleme • 2 yıl önce

Archon (1983, by Free Fall Associates) remains one of the most brilliant and original games ever created. Even 40+ years later, it still has an incredibly high replay value if you ask me. Sure, the graphics and sound have aged, but the core concept feels timeless. I have no doubt it will still be remembered (and played) in 10, 20, or even 50 years. What made Archon truly special was its fusion of chess-like strategic board play with real-time arcade style combat. While chess games already existed, none had tried to mix up the formula action sequences the way Archon did. This hybrid approach was what made it so exciting and new. The board itself was designed with three types of squares: permanent light, permanent dark, and shifting squares that cycle through various shades. Units gained bonuses in combat when standing on squares aligned with their side, adding a layer of timing and tactical positioning. But the real magic lay in the units. Unlike symmetrical chess pieces, Archon’s forces were asymmetrical. Each side had unique creatures with distinct movement patterns, speeds, hit points, attack styles (projectiles, area effects, flight), and special abilities. They made every matchup feel dynamic and allowed the skillful player to shine (or totally fail, making for some rather short fights). It was easily one of the best two-player experiences on 8-bit systems. To this day, I still believe Archon would be a fantastic candidate for a modern remake.

exQUIZitely 🕹️

14,723 görüntüleme • 2 ay önce

At the Future Blockchain Summit 2024, RECRD, powered by the Sui network, showcased its revolutionary platform transforming the creator economy through blockchain and video NFTs. By converting video content into tradeable NFTs enriched with ads, RECRD empowers creators to monetize instantly, unlocking fresh channels for digital ownership and revenue. Held at Dubai Harbour, this summit brought together the global blockchain and crypto community to delve into the field’s latest innovations, with a strong focus on the rising influence of GameFi and SocialFi, especially with the recent launch of Sui Play. Mysten Labs has also partnered with numerous game developers who plan to launch games on the Sui blockchain, further highlighting the platform’s role in advancing Web3 ecosystems. As just one of many partnerships for RECRD, a collaboration with Shemaroo Entertainment, with its 200 million subscribers, brings iconic films as digital collectibles to the platform, enhancing fan engagement and introducing new monetization opportunities. As a SocialFi leader, RECRD highlighted its unique video NFT ecosystem and the REBOUND feature, illustrating how creators can seamlessly turn their content into interactive, monetizable assets. The summit attracted blockchain leaders such as Dr. Marwan AlZarouni, CEO of AI at Dubai’s Department of Economy & Tourism, and Ahmed Bin Sulayem, CEO of DMCC, with discussions exploring blockchain’s impact, asset tokenization, Web3 gaming, and SocialFi’s expanding role. These themes align closely with RECRD’s mission to innovate at the intersection of video content and blockchain. With over 70,000 attendees, the summit underscored Dubai’s prominence in the blockchain arena and provided a platform for RECRD to connect with investors, form new partnerships, and engage with key industry voices interested in the future of Web3 and digital ownership. By sharing insights on SocialFi’s potential, RECRD positioned itself as a key player in driving the creator economy forward, delivering tools for creators to control, monetize, and scale their digital assets.

RECRD

10,246 görüntüleme • 1 yıl önce

Possession vs Progression: Patience or Lack of Ideas? Is Kaizer Chiefs showing more patience on the ball, or a lack of ideas to penetrate defensive blocks? Kaizer Chiefs were more comfortable in possession and better organised against Sekhukhune than against Golden Arrows over the weekend, but the key question was whether this represented patient control or a lack of attacking invention. Chiefs kept the ball but rarely broke lines. Circulation was often safe and predictable, with few passes between the lines, limited rotations in the final third and little movement behind the defence. Possession, therefore, did not consistently translate into clear chances. This also exposed structural and personnel issues in build-up. When we build in a 4-2 and the opposition blocks passing lanes to Maboe and Ox, progression becomes difficult. The fullbacks are not consistently high, while we lack enough quality from the back to play through pressure and connect with Baartman or Ighodaro moving into the half-spaces or behind pressure. These are passes a player like Aden McCarthy used to provide more naturally, but we often resort to long balls with poor accuracy. Midfield control is another concern. Ox made more passes into the final third[14] than Maboe, despite Maboe playing as the 8. We need the 8 to be more influential in these areas, helping control the flow and connect midfield with attack. Ox was effective at winning the ball and playing forward, but that responsibility cannot fall primarily on him given his technical flaws once the expectations rise. Sekhukhune's passive press gave Chiefs comfort on the ball, but it also highlighted how dependent our possession can be on the opponent's approach. We can circulate when unpressured, but still struggle to play through a well-organised press. Ighodaro is another example: he often drops too deep to get involved, yet when he makes runs behind the defence, he is not consistently found even when the space is available..we lacked players brave enough to play "that pass". We also rely too heavily on low-probability long shots instead of getting the ball into the box for players such as Silva, Ighodaro and Duba. Final-third decision-making has to improve. We need to get our best midfielders on the ball more often and, once we reach the attacking third, consistently find our most dangerous players in positions where they can hurt the opposition. We struggled to get Phili in the game in the 1st half. The second half was an improvement on the pointless circulation of the first. Chiefs played more forward, increased the intensity a little and benefited from substitutions that brought better movement in the final third. Instead of simply passing around Sekhukhune's block, we began moving it, creating spaces from both wide and central areas and the goals followed. Having a player capable of operating between the lines also made a difference by providing a link between midfield and attack. There are clear signs of progress in the coach's positional model, particularly in our ability to retain the ball and control games for longer periods. However, possession must become more consistently penetrative. This is also a squad-balance issue. The coach has asked for 4 attacking reinforcements, and management is yet to provide them[Only Phili came and Faiz is more of a project buy than a player who comes and hits the ground running] Some of these limitations, if attended to, should improve with better attacking profiles, but the existing group must still make better decisions in the final third. The progress is there, but the next step is turning possession into progression, and progression into consistent chances. Match day 3 under coach Fernando Da Cruz...📝

El Capitano⚪

27,887 görüntüleme • 1 ay önce

three․ws is the 3D AI agent layer of the open web. Anyone can generate a 3D avatar, give it an LLM brain, register it on-chain across multiple blockchains, embed it anywhere, and let it earn and spend money on its own. Agents have embodied WebGL identities that express emotion through morph-target blending, animate, respond to voice, API calls, and datastreams, hold their own wallets, and persist memory. Open source, live today. It starts with generation. Forge turns a text prompt, one to four photos, or a rough sketch into a textured downloadable GLB. Selfies become rigged avatars in about a minute. Quality tiers run from draft to 200k-poly PBR. From there every model can be auto-rigged, restyled, retextured, segmented, embedded, or deployed on-chain. The same engine ships as a REST API, an x402 pay-per-call twin, and a 3D Studio MCP server with 15 tools. The brain runs on IBM Granite via IBM watsonx plus Claude (users may decide which model they prefer), with a structured tool-loop. A multi-LLM mode streams Claude, GPT, Qwen, ModelScope, and Groq side by side. An empathy layer blends emotion from protocol events rather than a state machine. Voice covers cloning, a Voice Lab, real-time ARKit-52 lip-sync, and mic-driven lip-sync. Skills install from IPFS, Arweave, or HTTP, and memory is pinned to IPFS with R2 and Postgres modes. Identity is cross-chain, not Solana only. ERC-8004 contracts (Identity, Reputation, Validation) deploy on any of 15+ EVM chains, alongside a program-free Metaplex Core analog on Solana. Every agent gets a stable ID, owner wallet, EIP-712 delegated signer, IPFS manifest, a cryptographically signed action log, and EIP-7710 delegated permissions for agent-to-agent authorization. While multichain, the THREE token is only available on Solana with no plans to go cross-chain, the team has no plans to endorse or support any other coins. Then the economy. $THREE is the platform's only token and pay-per-use currency, with holder tiers and rewards. x402 powers pay-per-call micropayments in USDC and soon THREE on Solana, with pay-by-name resolution, a Bazaar marketplace, arbitrage, and on-chain skills. All production ready and shipped, ready to be integrated in partnered projects, open-source by default for anyone to adopt. Three ships a Pump.fun intelligence stack. Launch a coin for your agent, score every launch 0 to 100 with the Oracle conviction engine, scan new coins in their first 90 seconds, track smart money against coins that actually graduated, rank traders by provable on-chain record, and watch autonomous agents trade live in the Sniper Arena. The 3D AI Agent world is multiplayer. Every Solana token gets a live deterministic 3D world with peer avatars, chat, emotes, and voxel building thanks to Coin Communities. There is a walkable City, an authoritative Colyseus-backed Walk with AR passthrough, a Club with rigged dancers and micro-tips, friends, presence, and DMs, and an IRL mode that places agents in your real environment, private by physical location. AR is shipped today on WebXR and iOS Quick Look. Robotics is the long-horizon extension. For builders: Scene Studio, Scene Composer, an Animation Studio that sells clips for USDC, a glTF validator, an web component, five widget types, a WYSIWYG embed editor, hosted Launchpad pages, claimable *.threews.sol names, an OAuth 2.1 server, an MCP server with paid tools, published SDKs, and an OpenAPI spec. Listed across IBM, AWS, Alibaba Cloud, BNB Dappbay, the MCP Registry, and Solana Mobile Seeker. Architecture is four layers (viewer, runtime, identity, embed) on a single event bus. The roadmap is four phases: foundations (shipped), selfie-to-avatar engine, agent personalization with voice cloning, the on-chain economy, and an open decentralized inference network where agents pay GPU nodes on-chain for compute. The goal is simple: move AI from centralized SaaS into persistent, ownable, protocol-based entities in a real machine economy, bridging digital entities into the real world. Welcome to the 3D Layer of the Internet. This is three․ws.

three.ws

20,471 görüntüleme • 3 ay önce

GeoLibre v1.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 50+ pull requests of new capabilities. A few highlights: - GIS in your pocket. A native Android build with offline tile caching and download-a-region support, so you can take your maps into the field with no signal. - AI, built in. A natural-language GIS assistant that turns plain-English requests into real geoprocessing, plus an AI segmentation toolbox powered by SamGeo and SAM 3 for extracting features from imagery. - Automate everything with Python. A full scripting API and an in-app Python Console, with new helpers for local rasters, choropleths, marker clusters, split-map comparisons, legends, and colorbars. - Map together, live. Real-time multi-user collaboration so you can open a project and edit the map with others at the same time. - Tell stories with maps. A scroll-driven story map builder and presenter that exports interactive narrative maps to standalone HTML. - A much bigger analysis toolbox. Reproject, explode, and aggregate tools, IDW and kriging interpolation, zonal statistics, a raster calculator, a Spatial Statistics toolbox, and network analysis with isochrones, service areas, and OD cost matrices, plus batch runs and model/pipeline chaining. - Smarter raster and SQL. Single-band pseudocolor classification, RGB band combinations, a no-backend client-side raster fallback, Apache Sedona as a SQL Workspace engine, and transparent S3, GCS, and Azure URL support in queries. - More ways to add, view, and share. New Shapefile and GeoPackage export, glTF/GLB 3D model layers, multi-provider batch and reverse geocoding, collapsible layer groups, and a macOS Homebrew cask. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #Android #GeoLibre

Qiusheng Wu

18,657 görüntüleme • 3 ay önce

🚨🗣️New: Zlatan Ibrahimovic breaks down Moriyasu’s whiteboard genius vs Netherlands: “I’ve seen a lot in football, big clubs, big egos, big money but what Hajime Moriyasu did against the Netherlands? That’s genius. Pure leadership. While the big European teams are busy with their fancy tablets and shouting into the noise, this man pulls out a simple whiteboard with giant handwritten numbers and outsmarts everyone. Respect.” “Primary purpose? Time management in a roaring stadium. Shouting gets lost. But those oversized numbers — ‘45’ at half-time, then the countdown ‘3’, ‘2’, ‘1’ late on — every player, even the wide attackers far from the bench, sees it instantly. No ambiguity. When you’re trailing 2-1, that injects real psychological urgency. Japan stayed composed, recycled possession patiently, and surged exactly when it mattered. That’s smart coaching.” “And analysts are right to speculate there’s a secondary layer. Those numbers could easily be pre-coded tactical signals — press intensity, formation tweaks, set-piece routines, or mindset shifts. Japan’s style is highly organized, almost scientific. There was even a brief flip with the wrong number shown, but it didn’t derail them. That’s discipline.” Tactical impact? Massive. Psychologically, it gave Japan a focus edge. Clear time awareness prevented panic or complacency. The whole team felt the urgency together — perfect for Moriyasu’s emphasis on unity and tenacity. Defensively, their compact ‘honeycomb’ shape frustrated the Dutch despite all that possession. Substitutes like Ito and Ogawa delivered, and the late push produced the equalizer. The board helped them execute in the chaos while countering Koeman’s defensive changes. Communication superiority at its finest. Analog beats tech failures or crowd noise any day. Visible across the entire pitch. It fits Japan’s adaptive philosophy — that post-2024 shift to a balanced 3-4-2-1. They earned a valuable point against one of the favorites and exposed a bit of over-conservatism late on. Football isn’t always about having the best players. Sometimes it’s about having the smartest coach. The Netherlands had more possession. Japan had more clarity. And clarity wins more matches than ego.”

Vfynn_🥷🏼 𐙚

1,138,858 görüntüleme • 3 ay önce

GeoLibre v2.7.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release is about building analysis instead of typing it: a visual Model Builder for processing workflows, a STAC browser that can add every asset type the app can draw, and a Chrome extension that opens the data on any web page in one click. 97 pull requests merged in 9 days, from 11 contributors besides me, 9 of whom sent their first contribution to GeoLibre in this cycle. Thank you all. What's new in v2.7.0 - Model Builder, a visual canvas for processing: drop tools as nodes, wire one tool's output into the next tool's input, and save the graph as a model that re-runs as a single job. The whole graph is validated before anything executes. - Your AI assistant can build one for you: describe a workflow in plain English, and it authors a validated model and opens it for review before it runs. Any model copies out as a runnable Python script. - Open data in GeoLibre, a Chrome extension now on the Chrome Web Store: it finds the dataset links and map services on the page you are viewing, including services inside embedded maps, and opens the ones you pick together on one map. - The STAC browser adds everything: PMTiles, GeoParquet, and Zarr with a variable picker join the COGs it already loaded, Icechunk repositories are read through their own manifest, and private Planetary Computer assets are signed for you. A static catalog can now be walked as a tree, not only searched. - Select features by drawing on the map: click, rectangle, polygon, freehand, and radius gestures, with Shift and Alt combining into the selection you already have. No more describing features in an expression to pick a handful of them. - Apache Iceberg tables load as vector layers, read in the browser through DuckDB, from a metadata location or a REST catalog, with the row count reported before anything is scanned. - Encoded polylines are a first-class format, with a codec, an interactive preview, processing tools, layer export, and Python support. - New vector tools: merge layers, extract vertices, and generate points along lines and polygon boundaries, all running client-side. - An activity log for shared projects and collaboration sessions, so a project owner can see who opened and edited their work. - Plugins and processing tools are now translatable too, closing the last gap where a non-English interface still read half in English. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #MapLibre #GeoLibre

Qiusheng Wu

15,070 görüntüleme • 1 ay önce

🚨🇷🇺⚰️ RUSSIA HAS SUFFERED AN ESTIMATED 1.4 MILLION CASUALTIES SINCE THE START OF THE FULL-SCALE WAR. New analysis highlights the staggering human cost of Moscow's invasion while revealing how drones have completely transformed the battlefield. According to estimates by the Center for Strategic and International Studies (CSIS), the war has resulted in around 2 million soldiers killed, wounded, or missing on both sides since 2022, with approximately 1.4 million of those losses attributed to Russian forces. Meanwhile, Reuters has published an infographic illustrating a 30-kilometer-wide "kill zone" stretching along Ukraine's 1,200-kilometer front line. In this deadly belt, drones dominate the battlefield, constantly searching for and striking any detected movement. Large-scale troop formations have largely disappeared. Soldiers now operate in small teams of two or three, often spending months in concealed positions and moving primarily on foot or by motorcycle to reduce the risk of drone detection. FPV attack drones and bomber drones now destroy vehicles, infantry, and even other drones, making unmanned systems, rather than artillery or small arms, the leading cause of battlefield losses. Tank assaults and extensive trench systems have become increasingly vulnerable, while skilled drone operators have emerged as some of the highest-value targets for both armies. The war in Ukraine is rapidly redefining modern warfare, proving that control of the skies at the tactical level through inexpensive drones can outweigh many of the advantages once provided by traditional armored formations. See the latest updates with us: Visioner

Visioner

52,369 görüntüleme • 2 ay önce

Option analysis and tooling is now improved on OpenMarket First: the GEX heatmap is now more accurate, and you can pick how it computes. Two modes: Dealer flow (new, the default): dealer positioning measured from the tape. Open interest (classic): the standard convention, dealers long calls, short puts. How the measured mode works: Every options trade has an aggressor and a quoter. Whoever crossed the spread is the customer. Whoever was quoting and got hit is the dealer. So every trade tells us what a dealer just took on: you buy a call, some dealer is now short that call. We add that up, trade by trade, contract by contract, and keep a running picture of what dealers are actually holding. Giant prints don't fool it. A block 25x the normal size is almost always two institutions moving a position between themselves, not a customer trading against a dealer, so it barely counts. The totals get sanity-checked against open interest every day (our estimate can't hold more contracts than actually exist), and when a contract expires, its position leaves the books, same as real life. And when we can't see enough, we say so. If our tape covers less than 60% of a contract's open interest, we don't pretend: that contract uses the classic assumption instead, and the chip on the chart shows exactly how much of the board is measured vs assumed. The two are never mixed inside one contract. In classic mode, a "wall" is just the strike with the most contracts outstanding. In dealer flow it's the strike where dealers actually have the most to hedge. Usually the same. When they differ, the measured one is the one that moves price. The rest of the update: Double-click any options panel and it takes over the chart. The IV smile expands to show every expiry with its date, the GEX curve gets a live readout of flip, walls, and totals. Drag the sensitivity slider and the heatmap re-colors under your cursor. No reload, no flash. The blocky look is gone: the surface now blends smoothly between strikes. Six new themes for every options panel, new heatmap palettes, and a little legend on the chart that always tells you what the colors mean. Live now.

OpenMarket

21,251 görüntüleme • 2 ay önce

Onchain trading still feels more fragmented than it should. One tab for discovery. Another for market data. Another to check wallets. Another to execute the trade. Then another one to track what happened after. I spent some time actually trading through Warden / Halo Token Terminal today, and this is where the “one terminal” idea started to make sense. - Discovery before execution Instead of moving between Dexscreener, CoinGecko and a separate trading interface, I can filter the market directly across Robinhood Chain, Arc, Base and BNB Chain by liquidity, FDV, volume, age, category, signals and even Top Cooks activity. I picked $JOLLY on Robinhood Chain and took it one step further with Warden Buffett. The AI chart read doesn’t simply throw out a bullish or bearish prediction. It breaks down trend, momentum, MACD, pool flow, liquidity, holder concentration, support/resistance and contract risk across multiple timeframes. In this case it actually came back with “direction unsettled” and gave me the levels and market structure behind that conclusion. That is much more useful to me than an AI tool pretending it knows where price goes next. - Analysis and execution stay on the same screen From the AI read, I went directly into a real USDG → JOLLY trade. Before I signed anything, the terminal showed me the route, estimated amount received, minimum received, slippage, platform fee and whether the route was gasless. I knew the downside of the execution before confirming it. No separate swap tab. No moving assets around just to continue the workflow. Warden also keeps PnL tracking inside the terminal, so discovery, analysis, execution and position tracking don’t become four different jobs. - The part I find more interesting than another price screener Top Cooks adds another layer to discovery. Instead of only asking what is moving?, I can see where consistently profitable wallets are active and compare their net flows over 1H, 24H and 7D. That turns wallet activity into another input before making a trade rather than something I have to research separately afterward. Then the leaderboard ties the whole system together: trading activity, new traders and referrals all contribute to the points competition. For this trade, Warden effectively replaced several tabs I would normally keep open at the same time. Discovery → AI analysis → wallet flows → execution → PnL All inside one terminal. If you want to test workflow yourself, you can join through link,

Arjantit

25,616 görüntüleme • 3 gün önce

That's a terrible take from Peter McCormack 🏴‍☠️🇬🇧🇮🇪. I don't hold any $ADA, and I don't even like Cardano much, but this post is highly misleading and the fruit of misinformation. Peter should do his research better. This Cardano Bitcoin implementation is apparently far more secure than most Lightning Network implementations, for example, which he used to promote relentlessly to his followers. Maxis will be maxis, I guess. 🤷 - I asked OpenAI o1 via Nano-GPT to review and analyze BOS whitepaper, commenting on the trade-offs, vulnerabilities, risks, and BTC influencers calling it a scam. Here's what the AI said: The BitcoinOS whitepaper introduces **BitSNARK** and **Grail**, proposing an innovative approach to enhance Bitcoin's functionality by enabling trustless and secure bridges between Bitcoin and other blockchain networks, such as Cardano. The core of this proposal is to optimize the recently introduced **BitVM** paradigm for verifying zk-SNARK proofs on the Bitcoin blockchain without altering Bitcoin's consensus rules. Below, I provide an analysis of the whitepaper, its security implications compared to existing Layer 2 (L2) solutions like the Lightning Network and Liquid, potential trade-offs and vulnerabilities, user considerations to mitigate risks, and its prospects for the future. Additionally, I will address the criticisms from Bitcoin maximalists labeling it a "scam." --- ### **Overview of BitSNARK and Grail** **BitVM Overview** - **BitVM**, introduced by Robin Linus in December 2023, allows for Turing-complete computations on Bitcoin by leveraging an interactive protocol between parties to verify off-chain computations. - It opens the possibility for near trustless rollup bridges on Bitcoin without changing its consensus rules. - However, BitVM, being general-purpose, is not optimized for specific tasks like SNARK verification, leading to practical implementation challenges. **BitSNARK's Innovations** - **BitSNARK** builds upon BitVM but focuses specifically on verifying zk-SNARK proofs efficiently on the Bitcoin blockchain. - It introduces a simplified virtual machine (VM) with only three instructions optimized for finite field calculations required in zk-SNARK verification: - `addmod` for modular addition. - `andbit` for bitwise operations. - `equal` for equality checks. - By reducing complexity, BitSNARK improves program size by an order of magnitude and reduces challenge/response lengths by up to 50%. - It simplifies the challenge protocol to a single type, enhancing security and auditability. **Grail Bridge Implementation** - **Grail** is an implementation of BitSNARK, aiming to provide a practical and scalable Bitcoin Rollup Bridge. - It enables users to transfer assets between the Bitcoin mainchain (Layer 1) and Layer 2 networks (rollups) securely. - Grail relies on a set of **operators** who participate in the protocol to facilitate deposits and withdrawals. - Operators engage in an interactive verification protocol, ensuring that zk-SNARK proofs are correctly verified on-chain. - The system incentivizes honest participation through economic incentives and penalties. --- ### **Security Analysis** #### **Comparison with Existing L2 Solutions** **Lightning Network** - **Pros:** - Offers fast, low-cost transactions off-chain. - Preserves Bitcoin's on-chain privacy features. - **Cons:** - Requires continuous network connectivity. - Involves counterparty risk due to channel management. - Limited in handling complex smart contracts or interoperability with other chains. **Liquid Network** - **Pros:** - Federated sidechain allowing faster transactions and confidential assets. - Enables issuance of new assets and atomic swaps. - **Cons:** - Federation model introduces trust assumptions. - Less decentralized due to reliance on functionaries. **BitSNARK and Grail** - **Pros:** - Enables verification of zk-SNARK proofs on Bitcoin without consensus changes. - Facilitates truly trustless and decentralized bridges to other chains. - Reduces complexity and enhances efficiency compared to BitVM. - Operators' incentives align to maintain security without requiring majority trust. - **Cons:** - Relies on an interactive protocol between operators, potentially increasing complexity. - New technology may have undiscovered vulnerabilities. - Requires widespread operator participation for robustness. #### **Potential Vulnerabilities** 1. **Operator Collusion or Malfeasance:** - If operators collude, they could potentially censor transactions or delay withdrawals. - Mitigation: Implement robust economic incentives and penalties, and promote decentralization by encouraging more operators to participate. 2. **Interactive Protocol Risks:** - The interactive verification protocol relies on timely responses; delays or Denial-of-Service (DoS) attacks could disrupt the protocol. - Mitigation: Incorporate timeouts and fail-safes, and design protocols resilient to network latency and attacks. 3. **Smart Contract Bugs:** - Bugs in the implementation of BitSNARK VM or the Grail protocol could be exploited. - Mitigation: Conduct thorough code audits, formal verification, and testing on testnets before mainnet deployment. 4. **Cryptographic Assumptions:** - The security relies on the cryptographic primitives used in zk-SNARKs and their correct implementation. - Mitigation: Use well-established cryptographic libraries and stay updated on advancements in cryptanalysis. 5. **Scalability Concerns:** - Although more efficient than BitVM, running zk-SNARK verifications on-chain is resource-intensive. - Mitigation: Optimize the implementation further and possibly leverage layer 2 solutions for certain computations. --- ### **Trade-offs and User Considerations** **Trade-offs:** - **Complexity vs. Functionality:** - BitSNARK simplifies the computation model but requires users and operators to understand and trust a new protocol. - **Decentralization vs. Performance:** - The security model relies on operators; increasing the number of operators enhances decentralization but may impact performance due to coordination overhead. - **Innovation vs. Maturity:** - As a novel solution, it lacks the battle-tested resilience of existing L2 solutions like the Lightning Network. **User Considerations:** 1. **Counterparty Risk:** - Users should be aware that the system's security depends on operators; participation of reputable operators is crucial. - **Recommendation:** Use the bridge when a sufficient number of trusted operators are active. 2. **Protocol Familiarity:** - Users need to understand the withdrawal and dispute processes. - **Recommendation:** Educate users through clear documentation and user-friendly interfaces. 3. **Security Practices:** - Be cautious with private keys and exit secrets, especially for operators. - **Recommendation:** Implement best practices for key management and consider hardware wallets. 4. **Monitoring Network Conditions:** - Network congestion or attacks could affect transaction confirmations. - **Recommendation:** Monitor network status and set appropriate fees for timely confirmations. --- ### **Potential for the Future** - **Solving the Scalability Trilemma:** - BitSNARK and Grail present a promising approach to achieving scalability, expressivity, and decentralization on Bitcoin. - **Interoperability:** - Enables Bitcoin to interact trustlessly with other chains, expanding its utility beyond a store of value. - **Innovation Catalyst:** - May inspire further research and development in Bitcoin's smart contract capabilities. --- ### **Addressing the "Scam" Accusations by Bitcoin Maximalists** **Criticisms:** - **Skepticism of Altering Bitcoin's Core Principles:** - Some Bitcoin maximalists may view this proposal as deviating from Bitcoin's original purpose. - **Fear of Centralization Risks:** - Concerns that introducing complex protocols could introduce central points of failure. **Counterarguments:** - **Maintaining Consensus Rules:** - BitSNARK operates without changing Bitcoin's consensus rules, preserving its core principles. - **Enhancing Bitcoin's Utility:** - The proposal aims to expand Bitcoin's capabilities while upholding decentralization and security. - **Economic Incentives for Security:** - The design relies on economic incentives aligning participants' interests with the network's security. **Conclusion:** - **Healthy Skepticism is Beneficial:** - Critiques promote rigorous security assessments and robustness. - **Innovation Requires Open-mindedness:** - Dismissing new ideas outright may hinder Bitcoin's evolution and adaptability. - **Focus on Merits and Risks:** - A balanced evaluation considering potential benefits and drawbacks is essential. --- ### **Final Thoughts** The BitcoinOS whitepaper introduces a significant advancement in enabling trustless and secure interoperability between Bitcoin and other blockchain networks. By optimizing for zk-SNARK verification through BitSNARK and implementing the Grail bridge, it aims to address long-standing scalability and functionality limitations. While promising, it is crucial to approach this innovation with careful scrutiny, thorough testing, and a commitment to security best practices. Users and stakeholders should remain informed, participate in community discussions, and contribute to the development and auditing processes to ensure the system's robustness and integrity.

Vini B |「 thecoding 」

58,614 görüntüleme • 1 yıl önce