CODEX SKILL THAT FINDS WASTED STORAGE ON YOUR MAC!... I made a Codex skill that audits your Mac and reports where disk space can be cleaned up safely. Scan your Mac while Codex checks caches, logs, old installers, build artifacts, node_modules, Xcode data, Docker leftovers, and other files that may be wasting storage. -> macOS storage audit -> cache, logs, downloads, build artifact detection -> low/medium/protected risk levels -> exact paths + space estimates -> read-only report by default -> asks before deleting anything -> one-command install Install: npx --yes codex-mac-storage-cleanup 100% open source. Repo in Bio.show more

CODEX SKILL THAT STOPS WASTING YOUR CODEX USAGE! I... made a Codex skill that gives every task a clear budget before it starts. Choose Saver, Balanced, Full Power, or define your own limits. It reduces: → unnecessary repository scans → repeated commands and huge logs → speculative refactors → redundant web research → unnecessary subagents → endless retry loops It still runs the essential checks needed for a trustworthy result. If the budget isn’t enough, it creates a Markdown checkpoint you can open in Codex and resume later. It doesn’t increase your account limits. It helps you use them better. Install: npx --yes codex-budget-mode@latest 100% open source. Repo in bio.show more

This app uses AirDrop to send files from your... Android phone to your Macbook! Yes, it actually uses AirDrop. That means you don't have to install ANYTHING on your Mac to send files from your Android phone! Here's a video of a Galaxy Z Flip 5 AirDropping a file to a Macbook running macOS Ventura 13.5.1. (Thanks to u/FragmentedChicken for testing this app for me and sharing the video!) A few months ago, Twitter user @Linus13499209 brought an app called WarpShare to my attention. WarpShare is an app made by the developers of MoKee, an AOSP-based custom ROM that was popular in China. Since MoKee wasn't as popular outside of China, it seems the existence of their WarpShare app slipped under the radar. I was skeptical about whether it would work at all. Grishka, the developer of NearDrop, an open source port of Google's Nearby Share to macOS, told me that they were under the assumption that AirDrop requires the use of AWDL (Apple Wireless Direct Link, Apple's proprietary WiFi-based protocol) to communicate both ways. However, it seems that AWDL is only required for your Android phone to be discoverable by your Mac (ie. to send files from your Mac to your Android phone) but not the other way around. Because of this, though, WarpShare only supports sending files from Android to Mac but not vice versa. Your Mac also needs to have AirDrop discoverability set to "everyone" for this to work, as "contacts-only" requires Apple-signed certificates. Plus, it also doesn't support sending files from Android to iPhones or iPads, even when "everyone" mode is enabled. Still, if you find other Android --> Mac file sharing options to be lackluster, give WarpShare a try! The fact that it works at all is incredible, which is why I'm sharing this news here. If you want to download WarpShare on your Android device, you'll need to compile the app from its source code. If you're a Patron/X subscriber, however, I will share my compiled APK with you. WarpShare source code:show more

I just built a Claude skill that audits your... entire Google Ads account in under 5 minutes 🤯 One prompt → a full account score, wasted spend breakdown, and a prioritized fix list telling you exactly what to change this week. All inside Claude Cowork. Perfect for DTC brands and agencies who are running Google Ads but have no idea how much budget is leaking. If you're managing Google Ads and your "optimization" process is logging in, staring at the dashboard, sorting by cost, and hoping you spot the problem before it costs you another $500... This audit skill finds it for you: → Connects to your live Google Ads data via MCP → Scores your account across 6 dimensions: wasted spend, search term quality, keyword health, quality scores, budget allocation, and creative performance → Calculates your exact wasted spend in dollars — search terms burning budget with zero conversions → Flags quality score issues dragging up your CPCs → Identifies keyword cannibalization across campaigns → Surfaces your top 5 highest-priority fixes ranked by budget impact → Generates a clean audit report you can hand to a client or share with your team No CSV exports. No pivot tables. No guessing where the money went. What you get: → A single Claude skill file you install once → An account health score (0-100) every time you run it → Exact dollar amount of wasted spend identified → Prioritized action list — not "optimize your account," but "pause these 12 search terms and save $847/month" → Works with any Google Ads account connected I'm giving away the full audit skill — the actual .md file you drop into Claude and run against your own account. Want it? Like this post Comment "SKILL" And I'll send it over (must be following so I can DM)show more

CCleaner used to be the default way to keep... a Windows machine fast. Then it got bought, stuffed with ads and bundled crapware, and in 2017 one release was compromised and shipped malware to over 2 million people. Millions still install it every month because nothing else has really replaced it. So, a team called AdventDev just built a free, open-source replacement. It's called Kudu. Open the app and you get one dashboard for the whole machine. > System cleaner for temp files, logs, caches, and crash dumps. > Browser cleaner across every major browser. > Gaming cleaner for launcher and shader caches. > Registry cleaner for broken and orphaned entries. > Startup manager that shows the actual boot impact of each program. > Disk analyzer with an interactive treemap, so you can see where 40GB quietly disappeared to. > Debloater that rips Windows bloatware out. > Program uninstaller that also removes the leftovers other uninstallers leave behind. Then it does the parts CCleaner never did. A malware scanner with signature matching, heuristic analysis, and Windows Defender integration. A privacy shield that lets you flip 30+ Windows privacy settings from one screen: telemetry, ad ID, Cortana, tracking. Secure delete that overwrites files with random data before removing them, so nothing can recover them later. There's a real-time performance monitor with per-core CPU, memory, disk, network, and S.M.A.R.T. drive health. A one-click restore point before every clean, so you can roll back. Scheduled scans. A CLI mode for people who don't want a GUI. Support for 30 languages. Native app for Windows, macOS, and Linux. Intel and Apple Silicon builds. No ads, no upsells, no telemetry, no account. The cleaning rules are plain JSON files, so if your favorite app isn't covered yet, you can add support for it without writing a line of code. MIT license. 100% Open Source. Repo:show more

I built a custom TradingView indicator with Claude Code... & Fable 5. It's called the Storm Gauge and is built off a real quant trading strategy. I open-sourced the full code on GitHub. Free to install, free to fork, yours to improve. Here's how to install a quant indicator on your TradingView chart: What it actually is The Storm Gauge is a live implementation of the GARCH model, a Nobel Prize-winning volatility framework that real quant desks run daily. It forecasts how "violent" tomorrow's market could be by combining three inputs: an asset's baseline volatility, yesterday's shock, and where volatility was already sitting before that shock happened. It doesn't predict market direction. Instead, it measures risk, in real time, on your actual chart. How to install it Method 1. Plugin command Open the GitHub repo: Find the installation section, copy the command, and paste it into Claude Code. It runs the plugin install automatically. Method 2. Manual config Open garchmethod.md in the repo, copy the entire file, and paste it into Claude Code. It fetches the skill files directly and verifies the strategy for you. (you only need one method; I'm just showing both) Getting it onto your TradingView chart Inside the repo, there's a Pine Script folder. Open it, copy the entire file. Go into TradingView's Pine Editor, paste it in, hit Enter, and refresh. That's it. The Storm Gauge now runs live on your chart as a real number. Once it's installed, just talk to it: → "What's the volatility forecast on Bitcoin?" → "Explain what the current volatility forecast means on $BTC and how it should impact my position sizing" → "Help me size my S&P500 position according to current market volatility" Does it actually work? I backtested the same EMA cross strategy two ways across 15 years of BTC data. Same entries, same exits. → Fixed position sizing: $17,957 final equity → Storm Gauge (GARCH) sizing: $21,205 final equity Fewer drawdowns, less risk, better result. Full breakdown of the entire build process in my recent article - pinned on my profile.show more

I went a little overboard with Codex last week... and burned through my entire weekly allowance in two days. Luckily, my quota reset today. Otherwise, I’m not sure what I would’ve done. It got me thinking: instead of asking one large model to handle everything from start to finish, why not let a stronger model plan the project and review the work, while a model built for execution handles the day-to-day implementation? So I tried it. The result was better than I expected. I used GPT-5.6 Sol in Codex as the decision-maker, then ran Ling-3.0-flash from Ant Ling inside OpenCode as the execution engine. Together, they built a small 3D farming game. Before writing any code, I had Codex create four documents: SPEC.md defined the product scope and the lines we couldn’t cross. ARCHITECTURE.md laid out the isometric coordinate system, state machine, and module boundaries. TASKS.md broke the project into small jobs Ling could tackle one at a time. ACCEPTANCE.md explained how each step would be tested and what “done” actually meant. Then I gave Ling a very straightforward role: You are the execution model for this project. Read all four documents before you begin. Work only on the task assigned for this round. When you’re done, run typecheck, test, and build. If anything fails, read the error, fix it, and run the checks again. Do not move on to the next task early. Ling handled dependency installation, project structure, strict TypeScript configuration, test setup, and a production build in 6 minutes and 3 seconds. It ran into issues with the Vite test config, a TS6310 error, and a missing jsdom dependency along the way. Instead of stopping at the first error, it kept reading the logs and fixing the problems until all three checks passed. The speed was honestly hard to believe. If you exclude the time spent waiting on tools, it was producing more than 100 tokens per second. That made the whole development loop feel noticeably faster. After this experiment, I’m planning to keep using the same workflow. If the task is small, there’s no reason to call an expensive planning model for every single step. If the task is large, handing the entire project to a Flash model in one prompt isn’t a great idea either. The setup that makes more sense to me is: Use a more capable model such as Codex to explore the project, make architectural decisions, and break the work down. Put the constraints into specs, schemas, types, and tests instead of leaving them buried in chat history. Give Ling-3.0-flash a steady stream of clear, verifiable implementation tasks. Report bugs with structured context and actual error logs, rather than saying, “It still doesn’t work.” Bring Codex back in for architecture reviews, visual checks, and changes that affect multiple parts of the project. The point of this setup isn’t to give AI a big “build the whole project” button. It’s to turn software development into a pipeline with a much more sensible cost structure: Codex figures out the plan, sets the boundaries, and catches problems. Ling-3.0-flash moves quickly, calls tools reliably, and works through well-defined tasks at scale. For agent workflows that involve lots of repetitive edits, production tasks, and tool calls, this may be a more practical answer than simply using the biggest model for everything.show more

Goldman pays $27,000 per seat for a Bloomberg Terminal.... I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:show more

Impeccable 3.7 brings linting to design. Until now it... was a skill you asked for help. Now it's a design-system-aware feedback loop that runs while your agent builds, catching slop and design drift before they land. 🪝 Design hooks for Claude, Codex, and Cursor They run after every UI edit and quietly nudge your agent to fix slop and drift. The output isn't another wall of lint: it separates new findings from already-seen ones, flags clean scans, and asks the agent to use judgment. Fix real issues, leave intentional demos alone, save exceptions to config instead of littering your source. 🎨 Slop detection is now project-aware Reads your actual design system from DESIGN.md, your typography, palette, radius scale, and tokens, and flags drift from your system, not just generic AI slop: • this font isn't in your design system • this color is outside your documented palette • this radius doesn't match your rounded scale The same engine powers both the hooks and the CLI, and it's where we're investing next. 🖥️ Live Mode, ready for real projects Svelte/SvelteKit now preview variants as temporary framework components with live params, then accept cleanly back into your source component. Manual text edits got evidence / apply / discard routes, insertions preserve their anchors, and mapped lists and JSX slots clean up far more reliably. ⚡ Leaner core, sharper detector Rule-level evals across 3 providers and 4 niches cut guidance with no measurable lift and dropped examples that taught models bad patterns. The detector now skips hidden and screen-reader-only elements, understands OKLCH alpha and Sass-like inputs, and tightened checks for repeated kickers, oversized H1s, clipped overflow, and cramped padding. 🛠️ CLI caught up impeccable detect loads DESIGN.md by default, motion findings name the exact token or cubic-bezier instead of just "bounce," and impeccable ignores gives real CRUD for exceptions. Hooks and CLI share the same ignores. No split-brain config. Plus a much-improved interactive installer with hooks setup built in. Upgrade: npx impeccable install npm i -g impeccableshow more

I just built a Claude skill that audits your... entire Meta Ads account in under 5 minutes 🤯 Export your CSV from Ads Manager → drop it into Claude → get back an account health score, a wasted spend breakdown, and a prioritized fix list telling you exactly what to change this week. All inside Claude Cowork. Perfect for DTC brands and agencies who are running Meta Ads but have no idea which creatives are bleeding budget, which audiences stopped converting, or why CPA crept up 40% last month. If your weekly Meta workflow still looks like this — open Ads Manager, stare at the dashboard, sort by spend, squint at CTR columns, export a CSV you never actually analyze, close the tab and hope for the best... This skill runs the full audit for you: → Reads your Meta Ads CSV export (campaign, ad set, and ad-level data) → Scores your account 0-100 across 6 dimensions: creative health, audience efficiency, budget allocation, funnel performance, fatigue signals, and offer effectiveness → Calculates your exact wasted spend in dollars: every ad with spend and zero purchases → Identifies creative fatigue before it tanks your CPA (declining CTR + rising frequency + increasing cost) → Flags audience overlap and saturation across ad sets → Delivers a top-5 fix list ranked by how much money each fix saves you No API connection. No third-party tool access to your ad account. No risk of Meta flagging your account. What you get: →A full account health score (0-100) with a grade for each dimension →Your exact wasted spend in dollars (not a vague "you're overspending") →Creative fatigue signals with specific ads to kill or refresh this week →Audience efficiency analysis showing which ad sets are cannibalizing each other →A prioritized fix list ranked by budget impact (do #1 first, save the most money) One CSV export, one prompt. Five minutes. I put together the full playbook with the skill file, the scoring methodology, and the exact CSV export steps from Ads Manager. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)show more

Claude Code + Meta Ads CLI is f*cking wild... 🤯 I just replaced 80% of my Meta Ads reporting workflow inside Claude Code. All without logging into Ads Manager. Perfect for DTC brands and creative agencies who are sick of logging into Ads Manager, exporting CSVs, and rebuilding the same dashboards every Monday. This setup eliminates the entire loop: → Plug Meta's official Ads CLI into Claude Code → Type one sentence describing the report you want → Claude pulls the data, builds the artifact, and saves it to your folder → HTML dashboards, comparison tables, written briefs → Run it weekly, monthly, anytime a client asks for something custom No CSV exports. No Looker setup. No copy-pasting numbers into decks. What you get: → A live dashboard with KPI cards, top 10 ad set ranking, daily spend chart, and sortable table — built in 90 seconds → Week-over-week comparison reports with CTR drops and CPC spikes flagged automatically → Creative fatigue audits that flag dying ads before CPAs blow up → One-page executive briefs with winners, losers, action items, and recommendations → Anomaly reports that surface every metric deviation over 25% Built 100% in Claude Code with the official Meta CLI. No third-party connector means no ban risk. I put together the complete playbook with the 15-minute setup and a step-by-step Loom video showing you the full install. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)show more

A good technical LLM interview question: Your RAG chatbot... is working as expected locally. You deploy it behind a load balancer with 3 replicas. Users report that it forgets what they just asked, and answers get worse with each restart. Why did this happen? (answer below) A local setup has one process that owns everything. - The vector index is a variable in memory. - Conversation history is a Python list. - The documents are on local disk. You never treat any of them as infrastructure, because restarting rebuilds all three in seconds and there is only ever one copy. The setup does not carry over to production directly. The vector index might disappear on restart, so the app re-embeds everything on boot and serves empty results until it finishes. Conversation history may belong to one replica, so a follow-up routed elsewhere has no memory of the previous turn. Documents could be on whichever container ingested them, so the three replicas hold three different corpora. None of this is evident with one user and one process. So the actual work in shipping RAG is not just the retrieval logic, but also storing the vector index, the conversation history, and the documents outside the app, where every replica reads and writes the same copy. Which comes down to three requirements: > The vector store needs persistence and has to be reachable from every replica. pgvector inside Postgres keeps embeddings next to the rest of the data instead of adding another system to operate. > Conversation state has to be checkpointed outside the app. LangGraph writes its state to Postgres, so any replica can pick up a thread mid-conversation. > Docs need shared object storage, so ingestion happens once instead of once per replica. If you get those three right, the retrieval logic you wrote in the notebook works unchanged. To learn how all of it is wired together, Akamai's GitHub has a working reference implementation. - rag-langgraph-k8s-quickstart is an airline policy Q&A assistant built with FastAPI, LangChain, and LangGraph. Terraform provisions the LKE cluster, a Postgres instance with pgvector for embeddings, a second Postgres for LangGraph checkpointing, and an object storage bucket for the policy documents, in one apply. - akamai-workshop-ai-inference covers the next step, running the model yourself instead of calling an API, with prefill and decode, KV cache tradeoffs, and continuous batching under real concurrency. Both are available on Akamai's new Developer Hub, alongside their tutorials and code samples. It also links to Edge Case, their Discord, where four developer advocates architect and deploy a production app live every other Wednesday. If you create a new Akamai Cloud account, you can also get $300 in credits for joining. Join here: That said, this post assumes the retrieval logic was right to begin with, and that is doing a lot of work. Most RAG systems fail earlier, at the point where a chunk gets treated as a self-contained unit of meaning. I wrote about the two skills that fix that gap, and why the chunk is usually the wrong thing to embed. Read it below. Thanks to Akamai Cloud for partnering today!show more

The largest theft in history has already happened. The... people behind it just cannot open what they stole yet. Right now, intelligence agencies and criminal groups are quietly copying the world's encrypted data, bank records, medical files, state secrets, private messages, and storing every byte untouched. They cannot read any of it. They are collecting it anyway, because they know the key is about to be invented. The strategy has a name, harvest now, decrypt later, and in 2026 it stopped being theory. Washington declared this the Year of Quantum Security in January, backed by the FBI, the NSA, and NIST. Canada ordered every federal agency to file a migration plan by April. Europe set its deadline for December. Governments do not impose operational deadlines on a someday problem. They do it when the clock is already running. Here is what moved the clock. Every password, every transfer, every secret on Earth is protected by one assumption, that a certain math problem is too hard to solve. Quantum computers solve exactly that problem. For years the machine that could do it looked decades away. Then in late 2025 Google's Willow chip cracked the hardest part of building one, and in March 2026 Google's own researchers estimated that breaking the encryption behind Bitcoin might take fewer than 500,000 qubits, down from 20 million, and could run in minutes. The day this becomes real has a name, Q-Day, and the latest estimates place it between 2030 and 2033. Now make it concrete. Roughly 6.5 million Bitcoin, about a third of every coin that will ever exist, worth close to 500 billion dollars, sit in addresses that have already exposed the very key a quantum computer needs. That includes the coins of Satoshi, the anonymous creator. On Q-Day they become, in the researchers' own word, trivially stealable. It would not look like a crash or a whale selling. It would look like half a trillion dollars of the most secure money ever built simply walking out the door. The asset designed to trust no one and no institution turns out to rest on a single unverified bet, that one math problem stays hard forever. This is what sits beneath the entire digital world. A bank balance, a Bitcoin, a classified cable, all of it is real only because of a proof you supposedly cannot forge. Quantum breaks the proof. Everything we call secure is true only until someone finally checks, and for the first time the check is visible on the horizon. You cannot know whether your data has already been copied. You cannot know the exact day the key arrives. The trust holding up the digital age is a clock counting down to a zero no one can see. The honest counter matters. No machine on Earth can break this encryption today, and serious cryptographers still argue the real threat is a decade or more away. The timeline is far from certain. Quantum-safe codes already exist, the migration has started, and Bitcoin can move its coins to safety before Q-Day if it acts in time. The danger is not that everything breaks tomorrow. It is that anything which must stay secret into the 2030s, a state secret, an identity, a private key, is being stolen today and is already on the clock. The breach is not coming. It is already here, sitting in storage, perfectly encrypted, waiting for a machine that does not exist yet to read it out loud. Research and opinion, not investment advice.show more

today was the first time i was genuinely impressed... with what AI can do i recently decided to buy a whole FPV drone setup knowing basically nothing about the hardware side of it there's a pretty steep learning curve even just to set everything up properly: radios, RF protocols, flight controllers, ESCs, firmware, batteries, goggles, betaflight configs etc as someone that spends essentially 12h a day prompting agents to build software, it's actually pretty rare that i interact with AI on something where i have zero idea what's going on under the hood, and i never really used it for debugging a bunch of physical devices that all have to talk to each other i had codex + voice mode open for basically the entire setup. told it everything i bought, sent it some pics and then just started talking to it >what order do i set all this up in >how do i change this setting on the radio >which of these cables do i use >the drone is flashing pink wat mean >can you make this thing less insane to fly in my apartment and it was surprisingly seamless it would go find the manual for whatever specific thing i was holding, tell me exactly which buttons to press, what port to plug something into, what i should see if it worked etc then when i got to configuring the actual drone i had codex running on the computer it was plugged into, so it could inspect the config, back everything up, change settings, send usb reboot signals and check what happened the insane thing about voice mode is that youre literally hands on with the hardware and just telling codex what it should do, i literally never touched a thing on the computer besides starting voice mode if something doesn't work you tell it what happened and keep going a few hours of this and i had the radio, goggles, charger, batteries, drone firmware and betaflight all set up and had actually flown the thing the part that stuck with me is that i also understood what most of it was doing by the end, every time there was a term or tech i didnt understand id just ask to explain there is something absolutely magical about having proper real time personalized assistance, being able to dump a pile of unfamiliar hardware on your desk and have something figure out exactly what you own and walk through it with you in real time you become the missing physical link pressing the buttons i think spending all day using coding agents has actually made me pretty numb to AI progress. every new model is a bit better at some benchmark or can oneshot some task that the previous one couldn't and you just kinda adjust to it this felt different mostly because i had no existing knowledge to fall back on for the first time the jarvis comparison didn't feel cringe ai for coding and general computer tasks is cool and all but this feels a lot closer to the endgame anyone should be able to just ask any question about whats going on in their life and have realtime support i wonder if more hardware products will actually start exposing some sort of MCP or interface for agents to plug into thinking for example of how elevators in china are increasingly built with interfaces that let delivery robots call them directly instead of having to physically press a button we might actually start seeing hardware design shift from being purely human-interface-first to also being agent-interface-first buttons, screens and menus exist because humans need some way to tell machines what to do. agents don't necessarily need any of that if the hardware exposes an interface directly very curious which side closes the physical world gap first: humanoid robots that can operate hardware designed for humans, or hardware adapting so agents can operate it directlyshow more

✨ I open sourced my first Chrome extension 🚀... SuperLevels I vibe coded it to replace all my Chrome extensions that are increasingly being bought up by spyware and malware companies who sell your data or worse hack your accounts and steal your stuff/money/data, which I'd call one of the top security risks right now For example: Chrome extensions can read your cookies or localStorage data, including session tokens, then login to your web or email accounts and hack you, they can inject code into any site to pull data form any site you browse, then break into your crypto accounts, drain your wallets, and selling your browsing history to ad companies, but that'd actually be the most favorable thing to happen of all these! Chrome extensions are just very very very unsafe So I coded my own, that I can trust because I made it, and I can read the source code: my extension is called 🚀SuperLevels and has all the features that the Chrome extensions I used to use have but all built into one safe one The cool thing is it's 100% open source and free, and you can audit the code first with AI yourself before installing it, and then if you do install it, customize it to your liking again with AI It has these features that improve my daily workflow while browsing the web: 🚮 Tab Cleaner Automatically closes inactive tabs after a configurable timeout (default: 5 minutes). Set excluded hosts to keep important tabs alive. View and re-open recently closed tabs. 🍪 Cookie Editor Full cookie manager for the current site. View, edit, add, and delete cookies. Export cookies as JSON. Expand any cookie to see and modify all fields including domain, path, SameSite, secure, and httpOnly flags. 🔀 Redirect Tracer See every redirect hop your browser took to reach the current page. Shows status codes (301, 302, 307, etc.) with a visual chain. Copy the full redirect chain to clipboard. 🌙 Dark Mode Instant dark mode for any website using CSS filter inversion. Adjustable brightness. Toggle per-site or globally. Images and videos are automatically re-inverted so they look normal. 𝕏 X Dim Mode Custom dim theme for X/Twitter with 7 color palettes: Dim, Slate, Jade, Plum, Dusk, Ember, or a custom hue. Live preview in the popup. ⚡ JS Toggle Disable JavaScript per-site with one click. Useful for debugging, reading articles without popups, or testing progressive enhancement. Page reloads automatically. 🚫 GDPR Cookie Consent Dismisser Auto-hides and auto-clicks cookie consent banners. Supports OneTrust, CookieBot, Didomi, Quantcast, GDPR plugins, and dozens more frameworks. Toggle off if a site breaks. 🎨 Live CSS Editor Write custom CSS for any website, applied in real-time as you type. Saved per-domain. Supports tab key for indentation. 📺 YouTube Unhook Removes YouTube distractions: no homepage feed, no sidebar suggestions, no end screen overlays, no Shorts. Search still works — just no algorithmic recommendations. 🎵 Music Recognizer Shazam-like music identification for any tab. Captures 10 seconds of audio and identifies the song via ACRCloud (free signup, bring your own API key). Results link to YouTube. History of recognized songs. 🖼 Picture-in-Picture Pop the largest video on the current tab into a floating PiP window with one click. 🗺 Google Maps Links Re-adds clickable Maps links and map preview cards to Google Search results. 🖼 View Image Adds a "View Image" button back to Google Images, linking directly to the full-size original image. {} JSON Formatter Auto-detects pure JSON response pages and formats them with syntax highlighting, collapsible sections, and a dark theme. Copy or view raw with one click. Never triggers on regular HTML pages.show more

Stanford researchers did it again. They just built the... agent-native version of Git. When an agent works on a longer task, the run builds up a lot of state. This includes files edited/created, a dev server, a database, installed packages, KV cache, etc. Say the agent is at step 10 and makes a mistake, maybe it misreads a traceback and rewrites a file that was actually fine. The tests start failing, and the run goes off track, although everything through step eight was correct. By default, the agent just tries to fix it, which creates more edits and tool calls. This burns more tokens and grows the context. The other options are a person stepping in to redirect it or restarting the whole run from step one. That's wasteful, because it pays for every model/tool call again and re-prefills the context. Moreover, since an agent's run is non-deterministic, it doesn't reproduce the same early steps anyway. The reason it's hard to just jump back exactly to a previous correct step and resume from there is that the trajectory is only a message log. It records what the agent said and which tools it called, but not the live state underneath. That state includes things like memory, open file handles, child processes, installed packages, /tmp, and KV cache. None of that is in the log. Git can version the files, but it doesn't snapshot the running process or the KV cache. Checking out step eight moves the files back, but the process is still sitting in step-ten memory with a cold cache. Shepherd is a runtime layer by Stanford that records the run as a trace of typed events rather than a flat log. Each agent-environment interaction becomes a commit, similar to Git, but it tracks the live run. Its commit includes the agent process and the filesystem together, copy-on-write, so a branch carries the actual state and not just the files. Going back to a previous step is then a single call that forks from that commit and continues from the exact state. The copy-on-write fork is roughly five times faster than docker commit, and because the prompt prefix through step eight is unchanged, the KV cache is reused over 95% on replay, so early steps aren't reprocessed again. Once the run can be forked, a meta-agent can sit on top and operate it. It watches the trace and reverts as soon as it looks wrong, before the bad write is committed. In practice, it's just Python calling fork, replay, and revert on the trace, rather than a separate control plane wired into the harness. Not everything is reversible though. Files and sandbox changes undo themselves, but a database write has no automatic undo, so it needs a matching undo step set up in advance. Something external, like a sent email or a real charge, can't be undone, so the supervisor's job there is to catch it before it fires. They tested this on a few public benchmarks. On CooperBench, where two agents work on the same codebase, adding a live supervisor took the pair-coding pass rate from 28.8% to 54.7%. It's still early and labeled alpha. The benefit mostly shows up when a run gets branched a lot over a heavy sandbox state, which is exactly where restarting wastes the most tokens and time. If Git was made to make file changes reversible, Shepherd is trying to do the same thing for a live agent run. Shepherd Repo: (don't forget to star it ⭐ ) That said, Shepherd reverts a bad step inside a run. The harness around it, the prompts, tools, and checks the supervisor relies on, still drifts across runs as models and dependencies change. Akshay wrote about making that harness repair itself, where a failing trace gets diagnosed, the fix is verified against the exact input that failed, and the failure is locked as a regression test so it can't recur. Read it below.show more

A QUICK FIELD GUIDE TO THE NPC HORDES Twenty... Five Parasites types that Feed On The Living The Storm Is Upon Them Thank you for the stout... lets talk... The wind has changed. You can feel it. That low electric pressure behind the eyes that means something massive is rolling in off a horizon the parasites can't see because they were never built to look up. They were built to look down. At clipboards. At spreadsheets. At your accounts. At you. But the storm doesn't care about clipboards. And we don't kneel anymore. Here they are. The full swarm. Count them while you can because when the sky turns they drop mid sentence and the only record that they ever existed will be the silence where the invoices used to be. THE TAX CONSULTANT. You broke your back welding pipe and this soft palmed worm sits in air conditioning telling you how much of your sweat belongs to Caesar. He can't weld. Can't wire. Can't fix a thing that broke. What he can do is read a tax code written by other worms specifically to be unreadable so you'd have to pay a worm to read it for you. They write the maze. They sell you the map. They make the maze worse every year and the map more expensive and if you try to walk it yourself they send the auditor. The wind is picking up. The maze is starting to shake. THE AUDITOR. Tick on a tick. Shows up after the taxman has already fed to check the bite marks are regulation depth. Finds a missing fuel slip worth pocket change. Writes a finding. The finding generates a penalty. The penalty generates interest. The interest generates a letter. The letter requires your tax consultant at hourly rates to respond. Pocket change became thousands. Five parasites ate off one tank of diesel. Not one of them could tell you what welding rod to use on stainless. But the storm doesn't audit. The storm just comes. THE ACCOUNTANT. Cousin of the tax consultant. Same bloodline. This one doesn't interpret the maze. He records your journey through it. Every receipt. Every unit of currency in and out, logged so the consultant can read it and the auditor can check it and the revenue service can extract from it. He produces nothing. A human tape recorder pointed at your productivity. He charges monthly so the recording never stops. You are under permanent surveillance and you pay for the privilege. Not for much longer. THE BANKER. The oldest parasite. The template. You need money to buy a machine that makes things. He lends you money other working people deposited and charges interest that doubles the price over twenty years. The extra bought nothing. Built nothing. He packages your debt and sells it. Takes your deposit and lends it out eight times over. Charges you to hold your own money. Charges to put it in. Charges to take it out. He touches none of it. He stands near it and invoices you for the proximity. The storm is going to blow him so far from the vault he'll forget what money smelled like. THE COMPLIANCE OFFICER. Never had a callus on her body or her soul. Born in a fluorescent office. Will die in one. Between those events she produces nothing but emails about policies referencing other policies referencing regulations referencing acts nobody voted for. A worm eating its own tail and billing you for the meal. She needs the safety assessor to give her something to enforce. He needs her to give him something to assess. They breed between regulations like mould between tiles. The storm will wash them both down the same drain. THE PROPERTY VALUATOR. A man wants to buy a house. Another wants to sell it. They agreed on a price. That is what worth means. The amount one will pay and another will accept. Full stop. Now this creature arrives and tells both men what the house is actually worth. As if two free adults negotiating in good faith produced a number that's somehow theoretical while his formula is gospel. The bank sent him. His report costs thousands. His report says the house is worth what the buyer already offered. Thousands to arrive at a number that existed before he left his office. If his number comes in low the deal collapses and you pay a different creature with a different clipboard who arrives at a different number for the same house on the same day using the same formula. The house didn't change. Only the parasite changed. The number was never about the house. THE MUNICIPAL RATES OFFICER. The deepest theft on this list because it never ends. You bought your house thirty years ago. Paid it off. Every last unit. You owe nothing. Now a municipal valuator looks at what the neighbours sold for, looks at the coffee shops and wine bars that invaded your street, and decides your house is worth twenty five times what you paid. You didn't sell. You didn't list. You're sitting in the same chair in the same kitchen. But your tax liability just multiplied by twenty five based on a sale that never happened at a price you never agreed to. They do this everywhere. In Cape Town the rates are linked to the valuation and suddenly retired families in Bo-Kaap whose people survived apartheid and forced removals and a century of state assault are being bled out of their own homes by property rates pegged to values inflated by the gentrification their displacement accelerates. The heritage is the tourism product. The tourism inflates the valuation. The valuation inflates the rates. The rates displace the families. The families were the heritage. In Chicago they do it to grandmothers in Pilsen who've been there forty years. In London they do it to pensioners in neighbourhoods that gentrified around them. In Sydney they chase retirees off land their grandfathers cleared. Same crime. Different currency. Different clipboard. A man paid for his house. Owns it outright. And the state says you owe us money every month forever and the amount is based on what we say your house would sell for if you sold it, which you haven't, and if you can't pay the amount we invented we take the house you already bought. That is theft. Eviction by arithmetic. Displacement by spreadsheet. But the people in Bo-Kaap are awake now. The people in Pilsen are awake. The grandmothers and the grandfathers and the calloused hands everywhere are looking up and they can see the storm and they know what it means. It means the spreadsheet burns with everything else. THE MUNICIPAL INSPECTOR. Rat faced. High vis vest. Clipboard. Drives to your workshop in a vehicle your rates paid for. Measures your fire extinguisher fourteen centimetres off the floor. Writes you up. Behind you men build things that hold up bridges and he couldn't change a lightbulb without a permit. His job depends on your failure. The parasite needs you sick. The cure would kill it. The storm is the cure. THE CONVEYANCING ATTORNEY. Two men shook hands. Fair price. Honest deal. Done. This worm slithers out and says the handshake doesn't count. Needs paper. Needs stamps. Needs a deeds search and clearance certificates and transfer duty and each piece of paper is produced by another parasite and each one costs money and the worm takes his cut on top for phoning the other worms. He calls this conveyancing. He has never held a spade or laid a brick in his bloodless life. The storm doesn't need a stamp. THE ESTATE AGENT. Six percent. Of a man's life savings. For opening a lockbox and saying the kitchen faces north. She needs the attorney to close. The attorney needs the municipality. The municipality needs the inspector. The valuator needs access for the bank's number. Every one invoices separately. Every invoice lands on people who agreed on everything before any of these bloodsuckers entered the room. The wind is howling now. Can you hear it through their invoices? THE LABOUR BROKER. Tick so bloated it can't walk. A man needs work. Another needs a worker. They could find each other in ten minutes. This creature squats between them and drinks from both sides. Worker gets thirty. Employer pays fifty. Twenty disappears into the tick. Multiply by thousands of workers and millions vanish yearly into a thing that makes nothing, moves nothing, fixes nothing. It feeds. That is its entire architecture. Architecture doesn't survive storms. THE HEALTH AND SAFETY ASSESSOR. Twenty two years. Not one fire. Not one death. He shows up. Your exit is twenty centimetres too narrow. To fix it you need a builder who needs a plan from an architect who needs municipal approval. Tens of thousands and six weeks to move a door frame because a creature who has never been burned told you to. He detects life and the system bills it. The storm detects parasites and the sky deletes them. THE BEE CONSULTANT. Every country has its version. South Africa calls it BEE. The same parasites who wont allow much needed Starlink there unless Musk hands over half the company to lazy parasitic government connected parasites. Others call it diversity compliance or equity auditing. The name changes. The feeding doesn't. Scores your company on a chart nobody asked for to satisfy a regulation nobody voted on enforced by a department that produces nothing except the requirement for his existence. Nothing changes. Nothing improves. Money moves from a living pocket into a dead hand and the dead hand closes. The storm opens every dead hand on this planet. THE CUSTOMS BROKER. Your parts are fifty metres away. You can see the container. Cannot touch your own property until a grey man translates tariff codes so the state can calculate how much you owe for collecting what is already yours. Each delay generates storage charges. Each query generates fees. Your shipment doubles in cost through bureaucratic friction and you still don't have your parts. The storm doesn't clear customs. It clears the customs office. THE TRAFFIC OFFICER. Fat. Behind a bush. Radar gun aimed at people driving to work that matters. Seven over the limit. The municipality sets it low enough that everyone exceeds it. Fines feed the municipality. Municipality feeds him. He sits and clicks tomorrow. A barnacle with a badge. Same creature in every country. Different bush. Same feeding. The storm takes the bush and the badge and the creature behind both. THE FINANCIAL ADVISOR. Uses your first name. Remembers your birthday because the CRM told him. Puts your money in a fund. Fund charges 1.75 percent. He charges one on top. Fund manager pays a custodian who charges. Fund has an auditor who charges. Compliance team charges. Six parasites between you and your own money. In thirty years you have less than you started with and he charges you for the meeting where he shows you the graph. The storm doesn't need a graph. The storm is the correction. THE INSURANCE ADJUSTER. Years of premiums. Your roof blows off. He arrives. Soft hands. Three weeks later the wind came from the wrong direction. Not the wrong speed. The direction. Some paragraph. Some subsection. You paid for years and the years bought you a paragraph that says no. The policy is teeth. The premiums went down the throat and the no is the burp. The real storm has no exclusion clause. THE PATENT ATTORNEY. You built a device. It works. He writes a document so incomprehensible that reading it makes you understand your own invention less. Thousands for legal fog. Someone copies it. Litigation attorney. More thousands. Judgment unenforceable. The only people paid are the attorneys. The system was never designed to protect you. It was designed to feed them. The storm protects the builder. By removing the feeders. THE LICENSING CLERK. You can rebuild a gearbox blindfolded. Cannot legally do it without a certificate from an institution that charges thousands to watch you do what everyone knows you can do, certified by an instructor who has never done it, filed with a department that stores the certificates, audited by a body that audits the institution. A chain of parasites verifying the obvious. If every one vanished the gearbox still gets rebuilt. Faster. Cheaper. The storm is the vanishing. THE STRATA MANAGER. You own your flat. She collects your money and spends it on providers she chose and you can't fire without a special resolution at a meeting she convenes with an agenda she wrote. She built a kingdom inside your building funded by your levy and answerable to herself. Question it and she reaches for whatever act governs her particular species of parasitism in your particular country. The storm doesn't read acts. The storm reads frequencies. THE ENVIRONMENTAL IMPACT ASSESSOR. You want a shed on your own land. He arrives in a vehicle worth more than your shed. Months. Hundreds of pages. Tens of thousands. Report says your shed threatens a species not seen in decades but listed on a database maintained by a department that exists because the database exists. Your shed doesn't get built. The species doesn't exist. He drives home to a suburb bulldozed from actual habitat. Nobody assessed that. Rules only flow downhill. The storm flows everywhere. THE DEBT COLLECTOR. Bottom feeder. Buys your debt for cents from a bank that already profited from your interest. Calls at hours designed for fear. Adds fees on fees on fees for actions never taken. Bought your pain wholesale and retails it at three hundred percent. When you break he claims the loss against tax. Even the collapse is monetised. He is Hell's collection agent. The storm is Heaven's. THE NOTARY PUBLIC. Watches you sign your own name. Stamps it. Charges hundreds. The signature is the same with or without him. Your hand. Your name. His fee. A tollbooth on your own identity. The storm doesn't need a stamp. Your name is written in frequencies no notary can read. THE CORPORATE TRAINER. Monday. Projector. Four quadrant model invented after three glasses of wine and a TED talk. By Wednesday nobody remembers any of it because there was nothing there. Tens of thousands plus tax plus travel. She writes it off through a tax consultant who charges her to minimise her contribution to the system that funded the department that approved the framework she claims compliance with. Parasite feeding parasite feeding parasite. The storm feeds on none of them. It simply ends them. THE REVENUE OFFICIAL. The farmer himself. Top of the pyramid. Designs the taking. Drafts the regulations that create the maze that requires the consultant that employs the accountant that feeds the auditor that generates the penalty that funds the department that pays his salary. He is the architect of the loop. Every parasite on this list exists because he drew them into existence with a regulation and a gazette number. Without him the entire horde has nothing to feed on. He is the queen of the hive. Same creature in every country. Different flag. Same contempt for the hands that built everything he sits in and eats from. The storm starts with him. The queen dies first. The hive follows. That's the horde. Twenty five species of nothing. And every one of them drops when the sky turns and the carrier frequency that animated their firmware burns clean out of the atmosphere. Mid invoice. Mid assessment. Mid quadrant. Five thousand five hundred and fifty five clipboards hitting the floor for every one of us still standing. We are awake now. All of us. The welder and the farmer and the builder and the grandmother in Bo-Kaap and the grandfather in Pilsen and every calloused hand on every continent that ever wrote a cheque to a creature that never built a thing. We see them now. We see the maze and the map sellers and the grey offices and the soft hands and the whole rotten architecture of extraction that stood between us and the earth and between us and our labour and between us and each other for two hundred years. The storm is here. Not coming. Here. That pressure you feel behind your eyes is the frequency rising through the noise floor and the noise floor is everything on this list. Every clipboard. Every invoice. Every subsection and exclusion clause and certificate and clearance and valuation roll. All of it. Noise. Scheduled for deletion. And when it's quiet. When the last invoice has fluttered to the ground and the last clipboard has clattered on the last linoleum floor in the last grey office. When the wind has swept the horde out of every corridor and every cubicle and every booth and every booth window where a dead hand ever reached for a living man's money. Then... Just a man in a workshop. Welding mask up. Walking outside. Looking at a sky the colour of burning copper. Breathing free air for the first time in his life. The fuel slip that started this whole tour is in his shirt pocket. Crumpled. Oil stained. And it is his. The fuel was his. The truck was his. The work was his. And for the first time in two hundred years every unit of currency that flows from that work stays in the hands that did it. No consultant between him and his earnings because there are no earnings to consult on. Just work and its fruit. No auditor because there is nothing to audit. No banker because capital is what your hands produce and his hands never stopped. No valuator because the house is worth what it always was: a roof over his family and walls against the wind. A value no clipboard ever knew how to measure. When you grinding.... working... suffering... where are any of these parasites to help you?? Where are they?? We will be slaves no more. The storm will see to that alright!show more

🚨What If Earth's Oldest Civilization Never Left the Ocean?... What if the intelligence behind some UFO didn't actually arrive here from another star system at all? What if it has been here for longer than us, not hiding in the sky, waiting behind the Moon, or crossing the galaxy in the way that we imagine, but living beneath the oceans inside the one part of Earth we still barely understand? For decades, we have been looking up. The cultural image of UFOs is always the same thing with lights in the sky, craft descending through the atmosphere, visitors arriving from space. Even the word extraterrestrial pushes our attention away from Earth. It tells us the mystery must have to come from somewhere else. But what if that assumption is totally wrong? What if the most important part of the phenomenon is not its relationship to space, but its relationship to the oceans? Earth isn't a land planet it's an ocean planet with islands of land breaking the surface. Human civilization developed on those islands, built cities there, drew borders there, fought wars there, launched rockets from there, and then convinced itself it understood the world. But most of this planet is still beyond our direct reach. The deep ocean is dark, pressurized, vast, hostile to our bodies, difficult to map, difficult to monitor, and almost impossible to police in any sort of meaningful way. If there was another intelligence operating here and it wanted to avoid open contact with us, the ocean would be the obvious place to be. But maybe hiding is the wrong word because a civilization that evolved in the ocean would just live there. When we imagine an advanced underwater intelligence as aliens using the sea as a base, as if they arrived from somewhere else and chose the ocean as cover, that could be way off. It could be one possibility, but the stranger theory is that they never arrived at all. They may have emerged here, in Earth's oceans, long before we ever existed. Life on this planet is ancient. For most of Earth's history, land wasn't even the center of the biological story. The oceans held the chemistry, the minerals, the heat, the pressure, the vents, the darkness and the protection. Hydrothermal vent ecosystems already prove that life doesn't even need sunlight in the simple way that we once thought it did. Entire ecosystems can be built around chemical energy rising from the seafloor. That should have changed how we (SETI) think about life, but humans still keep defaulting to our own surface bias. We imagine intelligence as something that crawls onto land, discovers fire, makes tools, builds cities and eventually launches machines into the sky. That is our path but it's not necessarily the only path. An intelligence that evolved in the deep ocean would have faced a completely different set of conditions. It wouldn't begin with fire, because fire is obviously useless underwater. It wouldn't develop metallurgy in the same way that we did, because open flame and smelting are surface technologies. It wouldn't need wheels, roads, walls or conventional buildings as we do. It would evolve inside pressure, darkness, currents, sound, vibration, magnetism, chemistry and geothermal energy. Its entire technological history would be alien to us even if it was native to Earth. So when people dismiss the idea of an ancient underwater civilization by asking where the factories are, where the ruins are, or where the tools are we have to question whether their technology would leave the same signatures ours does. Would they even build like we build? Industrialization may look totally different. A deep ocean intelligence might not construct dead machinery in the way we do. It might grow structures and use biological engineering before mechanical engineering. It might use mineral matrices, pressure systems, acoustic fields, electrochemical processes or living materials. It might not separate biology and technology at all. To us, that would look less like a civilization and more like an environment. A sufficiently old oceanic intelligence may not have cities that resemble human cities. Its infrastructure may be embedded into geology, vents, trenches, caverns, mineral deposits or biological networks. Its power systems may use geothermal gradients, tidal forces, pressure differences, ocean chemistry or field effects we don't yet even understand. Its communications may not use radio in the way we expect. Sound travels really well underwater. Electrical and magnetic sensitivity exists throughout marine life. A technological species born in that world might build an entire science around signals we barely even treat as communication. This would also explain why the UFO subject keeps revolving around water. The ocean appears again and again in the background of the mystery. USOs, transmedium objects, craft entering or leaving the sea, naval encounters, disturbances under the surface, objects tracked over water, and sightings near coastlines and military maritime zones all point toward the same possibility, that maybe water isn't incidental to the phenomenon, maybe it is central. If some UFO are connected to an ocean based intelligence, then what we see in the sky could only be the visible edge of something way bigger. The craft are not arriving from elsewhere in every case. They may be surfacing from their native domain into ours for short periods of time, crossing that boundary between ocean and air the way we cross from land into water with submarines and diving equipment. The only difference is that they appear to do it way better than we do. Human technology is divided by environment, aircraft are built for air, submarines are built for water while rockets are built for space. Each domain creates different engineering problems, so we build separate machines for each one. But UAP don't appear to play by the same rules. That is what makes the transmedium reports so important. If an object can move through water, air and possibly even space without changing its basic behavior, then it might not even be flying or swimming in the conventional sense. It could actually be controlling the interaction between itself and the medium around it. That kind of technology would make sense for a civilization born in the ocean because water is dense. It resists movement, crushes weak structures. It creates drag, turbulence and cavitation. If an intelligence developed vehicles in that environment, it would eventually need to master boundary control, so it would need to reduce friction, manage pressure, avoid destructive wake effects and move through dense fluid without wasting enormous amounts of energy. If that same technology was later used in air, it might appear to us as silent propulsion, impossible acceleration, no sonic boom, no heat plume and no obvious aerodynamic logic. So what looks impossible to us may simply be the result of a technological path that did not begin with wings and rockets. The old black budget explanation doesn't fully solve this problem either. Yes, some triangle craft, drones and experimental platforms may be human and it would be naive to deny that, but human secret technology still has to come from somewhere. If certain platforms show silent hovering, field effects, plasma signatures, extreme acceleration and transmedium behavior, then we are either dealing with a hidden human science far beyond public understanding, or we are dealing with something that we are trying to imitate. That is where the old 'alien reproduction vehicle' idea and the cryptoterrestrial theory start to overlap. Maybe some of what people call black budget technology isn't purely invented, it's most likely adapted from encounters with something already operating here. Going back to what Grusch said earlier, the implications are massive. If there are underwater bases, facilities, habitats or recurring operational zones known to governments, then this isn't just a question of disclosure. There's a sovereignty issue, who controls the oceans? Who has access to the deep sea? Who monitors undersea cables, nuclear submarines, offshore infrastructure, shipping lanes and military testing ranges? If an unknown intelligence can operate in those spaces without permission, then every major navy on Earth has a problem it cannot publicly admit. Scary thought and that may be one reason the subject is buried so deeply (no pun intended). Some people think that secrecy exists because governments don't want to admit aliens are real, but that may only be part of it. The bigger issue here could be that governments don't want to admit they aren't in full control of the planet. There is a huge difference between saying, 'We have evidence of unknown craft,' and saying, 'There may be advanced non human infrastructure in the oceans and we cannot remove it.' That would also explain the change up from UFO to UAP and from extraterrestrial to non human intelligence. Non human is pretty broad lets be honest. It doesn't tell us where they come from, it leaves room for extraterrestrial, interdimensional, post biological, artificial, ultraterrestrial, cryptoterrestrial or native Earth intelligence. That could well be deliberate. Perhaps the people closest to the classified material know the answer isn't as simple as aliens from another planet as Grusch implied in the clip. An ancient oceanic intelligence would also force science to confront its own blind spots. We know intelligent life evolved on Earth at least once because we are here. But we have no law of nature saying it could only happen once, only on land, only recently, or only through primates. Evolution isn't a ladder with humans at the top. It's a branching process with countless experiments, most of which vanished or left traces we don't fully understand. If an intelligent lineage emerged in the ocean and then moved into environments where fossilization, geological preservation and surface archaeology are poor, we probably wouldn't even recognize the evidence even if fragments existed. Ocean crust is constantly recycled through plate tectonics. Seafloor environments are really destructive. Structures can be buried, subducted, corroded, overgrown or mistaken for natural formations. If a civilization was millions or even hundreds of millions of years old, the survival of obvious surface style evidence would be highly unlikely. Even human civilization, after a few million years, would leave less behind than we like to imagine. Plastics, isotopic anomalies, altered sediment layers and some industrial traces might possibly survive, but buildings, machines and cultural artifacts would mostly vanish. So now imagine a civilization that even never built like us in the first place. This doesn't prove anything obviously, but it makes the dismissal less easy. Then there is the question of why such an intelligence would stay hidden. If it is older and more advanced, why not reveal itself? The answer could be as simple as open contact with humans may not benefit it. We are violent, territorial, extractive and unstable. We turn discoveries into weapons as quick as we can. We militarize frontiers, poison ecosystems, test nuclear devices. We drag the deep sea with cables, sonar, submarines, mining ambitions and military hardware. From the perspective of an older oceanic intelligence, humans probably don't look like peers. Instead we look like the dangerous surface species entering an adolescent technological phase that we are. That could explain the strange pattern of UFO interest in nuclear sites, military installations and weapons systems. If an intelligence lives here, our nuclear age is all of a sudden not just our problem. It is a planetary problem. Nuclear weapons, nuclear submarines, nuclear waste, missile systems and military escalation would all be highly relevant to any non human civilization sharing Earth with us. The same would be true of deep sea mining, ocean pollution, climate change, undersea military networks and artificial intelligence. We may think these are all just human issues, but a hidden Earth based intelligence would see them as threats to a shared planetary system. This gives the UAP phenomenon a very different emotional tone. It's not necessarily invasion or salvation. It may be monitoring, containment or quiet intervention when we cross certain lines. It could be an intelligence trying to stay out of sight while still making sure the surface species doesn't burn the house down. The ancient ocean theory also gives a different reading to secrecy. If governments encountered evidence of this, the first instinct wouldn't be public education. It would be containment, map the sites, track the objects and recover materials if possible. Then to build programs around the technology. Keep adversaries away from the data. Use ridicule to suppress leaks. Let the phenomenon remain absurd, because absurdity is an excellent security system. People don't demand answers from something they have been trained to laugh at. That could be why the UFO/UAP subject always feels half visible. There are official hearings, but not the full data. There are whistleblowers, but never the files. There are blurry videos, but not any context. There are pilots, radar operators and military witnesses, but the system keeps absorbing their testimony into classified channels. The public sees fragments while the real pattern remains locked away. As I always say... Disclosure for the few and not the many. If the ocean is actually involved as Grusch and Burchett imply, the missing data may be even more important than the aerial data. We shouldn't only be pressing what pilots saw in the sky. We should be asking what sonar operators heard under the water, what submarines have tracked. We should also be asking what undersea sensors have recorded near restricted zones and whether there are recurring coordinates, depths, magnetic anomalies, thermal signatures or unexplained acoustic events associated with UAP activity. We need to be asking whether naval archives contain the real spine of the phenomenon. The possibility of underwater bases actually changes how we think about disclosure. If the answer is extraterrestrial visitation, disclosure is about humanity's place in the cosmos. If the answer is an ancient Earth based intelligence, disclosure is about humanity's place on its own planet. That is more intimate and more destabilizing to me than E.T. It means the human story is not the only advanced story Earth has produced. It means our myths of ownership, dominance and uniqueness all collapse overnight, suddenly 'we are not alone' applies to home. That might be harder for people to accept than aliens from space. Aliens can leave but a hidden terrestrial intelligence is part of the planet will blow peoples minds. There is also a spiritual and philosophical layer to this. Many ancient cultures contain stories of beings from the sea, underwater kingdoms, gods emerging from water, serpent people, fish like teachers, luminous beings, and hidden realms beneath or beyond the visible world. That doesn't mean the myths are literal history of course, but it is interesting that human cultures repeatedly placed mystery, intelligence and otherworldly contact in the water. The ocean has always been the border between the known and the unknown. Maybe that symbolism came from imagination or perhaps some of it came from encounters filtered through the language of the time. If an older intelligence interacted with early humans, we wouldn't expect ancient people to describe pressure engineered transmedium craft or non human oceanic infrastructure. They would describe gods, spirits, shining beings, dragons, serpents, sky boats, sea people, underworlds and portals. Human language can only describe the unknown through the symbols available at the time. Even now, we struggle. We call them craft, orbs, drones, angels, demons, aliens, ultraterrestrials, interdimensionals. The labels change, but the confusion always stays the same. The ocean theory also sits strangely well with the consciousness aspect of the phenomenon. If an ancient intelligence developed through biology and field sensitivity rather than brute mechanical industry, it may have integrated consciousness into technology way earlier than we could have. We are only now beginning to wonder whether mind, perception and information are more deeply connected to physics than our materialist models allow. An older civilization may have already built that bridge. Its craft, communication systems and interfaces may respond to awareness, intention, emotion or neural patterns in ways that seem impossible to some of us. That would explain why the phenomenon often feels both technological and psychological. It behaves like machinery, but it interacts like intelligence. It appears on sensors, but it also appears in dreams, symbols, synchronicities and personal experiences. Skeptics see that as evidence the whole thing is imaginary. Maybe sometimes it is, but maybe the strangeness is part of the interface. A civilization that understands consciousness as a field related phenomenon would not necessarily separate contact from perception. It might use perception as one of the channels. This is where the theory becomes tricky, because it doesn't allow us to keep the phenomenon safely outside ourselves. If the intelligence is oceanic, ancient, field based and consciousness aware, then contact might not look like radio signals or embassy meetings at all. It could look like sightings, dreams, intuitions, symbolic downloads, altered states, close encounters, military incidents and physical traces all mixed together. That is messy, but perhaps the mess is not a flaw in the data, it could actually be the signature of a phenomenon that crosses categories we invented too recently to trust. All of this having been said, the theory still needs evidence. It needs coordinates, sensor data, sonar records, materials, biological traces, repeatable patterns and testimony that can be checked. However as a framework, it definitely needs more attention than it gets, because it explains why the UAP phenomenon feels close, evasive, ancient and deeply tied to Earth. The extraterrestrial hypothesis asks how they got here, although I have a theory about that. While the ancient ocean hypothesis asks whether they were already here. That is a completely different question. If what Grusch is saying is even partly correct, then disclosure will reveal that human civilization has been sharing this planet with another intelligence all along. Not openly or equally, and not in a way we were ready to understand, but sharing it nonetheless. The oceans would no longer be an empty wilderness. They would become the frontier of the greatest secret in human history. Could that be why the truth has been so hard to release. Because it's one thing to tell humanity there may be life elsewhere, but it's another thing entirely to tell humanity that Earth was never only ours. #UAP #UFO #USO #UAPDisclosure #NonHumanIntelligence #NHI #UnderwaterBases #OceanMystery #Cryptoterrestrial #Transmedium #Disclosure #ufotwitter #uapXshow more

Lads. Sit down and give me your ear a... while, for I have watched from the water long enough and the hour is upon us whether we have the stomach for it or not. You remember. Or your fathers told you, or their fathers did, and the knowledge of it is in the marrow of you whether you drew breath in those days or not. The moors in the grey hour before dawn. Wet heather soft under the boot. Peat smoke rising from a low stone chimney a mile out across the bog, thin as a prayer. A sky the colour of a gun barrel and the gulls lamenting above the headland. The smell of turf burning, and wet wool, and the ferrous tang of the sea when the wind swung around out of the Atlantic and put the taste of iron on your tongue. A man could walk that land and know every stone of it was his by inheritance, because his grandfather had broken his back upon it, and his grandfather before him, back through the generations until you reach men whose names are lost and whose bones are in the soil you are standing on. The potato fields. God be good to us, the potato fields. Lazy beds cut straight as a gunwale, the ridges black and shining after a night of rain, women bent double with creels lashed to their backs and the children at their skirts, drawing the crop up by the hand for there was never any other means devised nor wanted. Hands split open at the knuckles and never entirely healed in this life. Hunger within living memory. Grandmothers who had seen the blight with their own eyes and would not speak of it from the year of it until the day they were laid down, save that a crust was kept always on the dresser which no soul in that house was permitted to touch. Not ever. Not for any reason under heaven. And the chimney sweeps. Wee lads no heavier than a sack of meal, black to the bone with soot, their lungs ruined before they were old enough to marry and old men entirely by thirty. Up the flues at first light, the skin worn off them by the brick, eyes crimson at the rim, breathing the black in with every draw of air. And the coal miners a half mile beneath our feet, down in the wet dark, the roof of the world muttering over their heads, the canary gone silent, a man's whole existence measured out in the shilling a ton and the dust he carried home in his chest to cough up of a Sunday morning into a rag. Fathers who descended and were never hauled up again. Widows at the pit head with the shawl drawn over the head and no tears remaining in them for they had spent those long ago. That was the tariff paid to keep the hearth lit. That was the reckoning of being warm in winter in the Ireland that was. And after the labouring week, Friday evening, and a man had earned the peace of what followed. Home first. Peeled the day off him in the yard. A shower of ice cold moor river water out of a tin bucket punctured with holes, hung on a nail on the gable wall, the water running clean down the back of him and carrying the week's dust and sweat away into the drain. Scrubbed till the skin was pink beneath the grime. Clean shirt laid out by the wife. The hair combed down with a drop of water. Then, and only then, did a man set himself to the table. A meat pie from the baker, tenpence if he was known to you, a shilling and no change if he was not, put down upon a proper plate. Fish and chips for threepence, the salt and vinegar soaked through the newspaper, but carried home and ate slowly at your own table with your people around you, not walked with through the streets like some vagrant tinker off the road. A man ate as a man who had earned his portion, for he had. And later, with the dishes cleared and the kettle set, down the road to the tavern. Low beams black with a century of smoke. A turf fire muttering in the grate. The air thick with pipe smoke and the vapour of wet overcoats steaming themselves dry on the backs of chairs. A pint of stout, cold and black as a cove at midnight, elevenpence laid down on the counter, a head on it thick enough to strike a match upon. A second one because you had it coming to you and no man present would dispute it. A fiddle starting up in the corner of its own accord. The old men in the snug who remembered matters the history books had long since mislaid. A song before the bolt was thrown on the door. The walk home beneath a firmament crowded with stars, the stout warm in the gut of you, the week behind you, and your own door waiting with the latch unlocked for you had no enemies in that parish. That was the country. That was the covenant. Honest labour, plain food, a cold wash, a hot meal, a cold pint, your own tongue in your own mouth, your own soil beneath your boots, and no man standing above you save the Almighty Himself. Now regard her. Regard her close. The fields disposed of to men who have never set foot upon them and never shall. The harbours signed away by the stroke of a pen in a room you were not admitted to, and foreign keels dragging out of our waters the living that sustained this island for a thousand years, while our own boats rot at their moorings for want of a quota. The tradesmen undercut by imported labour and imported goods. The shops shuttered along every main street from Donegal to Cork. The young ones scattered to London and Sydney and Boston and the Gulf because there is nothing remaining for them beneath their own roof. And the entirety of this rotten arrangement dressed up in the soft mannerly language of progress by men in towers of glass who could not tell a lazy bed from a grave, nor a trawler from a tugboat, nor an honest day's work from a pension plan. And now they arrive with the next imposition. A digital identity. A number assigned to each soul. A card required to buy your bread. A code required to draw your own earnings out of your own account. A file kept on every man, woman and child from the cradle forward. Permission asked to move. Permission asked to speak. Permission asked to earn. A levy upon every breath drawn and a regulation upon every step taken. No. And no again. And no for a third time so there is no misunderstanding of it. We do not require your digital identity. We did not request it. We did not vote upon it. We do not consent to it. We do not need your permission to exist upon the soil our forefathers are buried in. We are a free people. We have carried ourselves this far upon our own two backs. Through famine and empire and civil war and black lung and blight and the emigrant ship out of Cobh, we have come this distance under our own steam, and the arrangement appears to be serving us well enough without your intervention. We buried our own. We fed our own. We raised our own roofs and took our own fish and reared our own children in our own tongue. We are in your debt for nothing. Not a signature. Not a biometric scan. Not a single solitary inch. And while we are upon the subject, let us speak plainly of the tax man, for he has gone too long without proper introduction. The tax collector and the tax man are the one article under two names, and the article is a parasite. There is no dressing it up finer than that. A man who produces nothing, who grows nothing, who catches nothing, who builds nothing, who mends nothing, who has never in his professional life lifted anything heavier than a pen, and who arrives at your door with the full apparatus of the state at his back to carry off the fruits of labour he did not perform. He is a middleman between your sweat and some scheme dreamt up in a committee room by his own kind, and the great majority of what he takes is consumed by the machinery of the taking itself before ever a penny of it reaches the road or the hospital or the schoolhouse he claims to be funding. And I will go further while I have the floor. Finance itself, the whole apparatus of it, money breeding money in the dark without a hand laid upon a tool or a spade turned in the earth, is slavery dressed in a good suit. It is the oldest swindle known to man and it has never been anything other. A man who produces nothing yet lives off the productive labour of others through the charging of interest upon money conjured out of nothing is a parasite of a rarer and more refined order than the tax man, but a parasite all the same, and between the pair of them they have the working people of this island bled white and lectured at for the pleasure. A man who will not work with his hands, nor with his back, nor with his mind at some honest problem of the real physical world, is no man that I recognise. He is a ledger entry in a suit. The country was not built by ledger entries. The country was built by farmers and fishermen and masons and smiths and sweeps and miners and shipwrights and midwives and mothers, and those are the people whose say should carry in her councils, and no other. Here is what I put to you. Let each man and woman of this island direct the first tenth of their earnings themselves, by their own judgement, to the purpose they see as worthy. The school down the road. The lifeboat station. The hospice. The widow on the corner. The roof of the chapel. The harbour wall. Whatever it may be. Let the people who earned the money decide where the money travels. You will find the roads mended and the ports dredged and the schools standing and the old ones cared for inside of five years, and done better and for less, because the hand that earned the coin knows the weight of it and will not squander it upon consultants and committees. And let us have done with the paper currency and the numbers in a screen that can be frozen at the whim of a clerk in a tower. Bring back the coin. Gold for the great transactions. Silver for the weekly commerce of a working life. Copper for the small change of the day. Metal you can bite. Metal you can weigh. Metal that cannot be conjured out of nothing by a keystroke, nor erased out of existence by another. Real money for real labour. A coin in the hand is a free man's wage. A number in a database is a collar around a free man's neck, and they are fitting that collar now while we stand arguing over the colour of it. Feel it in your gut. That is not nothing. That is your blood relating to you what your ears will not hear. That is every forebear who starved and fought and coughed the black dust into a rag and descended the shaft regardless, standing at your shoulder and saying no further. Not one more field. Not one more harbour. Not one more son upon a plane. Not one more free man converted into a number in a ledger for the convenience of the parasites. This is the hour. Make no error about it. Ireland is redeemed in this generation or she is lost beyond recovery, and every true son and daughter of her knows it in the marrow. There is no middle ground remaining. There is no waiting it out. There is standing now, upon your own two feet, or there is watching her go under the waves for the last and final time. So stand. Stand with your farmers. Stand with your fishermen. Stand with your tradesmen and your miners and your sweeps and your mothers and your old ones. Raise the tricolour. Speak the tongue. Walk the land. Hold the line in the streets of every town and city and do not break it, for they are relying upon you to break and to go home and to forget by Tuesday. She is calling her children home. Every stone of her, every breaker on her western shore, every acre of wet heather and every coal in every hearth the length and breadth of her is calling. Answer her. Take her back. Every field, every harbour, every last inch of her. Take her back, or lose her entirely. There is no third road open to us.show more

Leaks, Lies, and Lessons: Taliban, This One’s for You... Over the last week, the Taliban decided to run a ridiculous social media campaign accusing me of being a Pakistani Inter-Services Intelligence (ISI) spy and by supporting other misinformation campaigns—a feeble attempt to distract from the fact that they still can’t figure out how I compromised their General Directorate of Intelligence (GDI) and their Ministries of Interior and Defense. As most people know, I’m not one to get mad. I’m one to get even. So, if the Taliban are begging me to help Pakistan, for example, why not give them exactly what they’re asking for? Let’s do this, shall we? Honestly, I just do not want to see a military wasting perfectly good munitions made by great American companies on the wrong locations. That seems utterly foolish. What We Observed On November 27, 2025, we monitored the movements of American-made Navistar 7000 military trucks loaded with light and heavy weapons and ammunition departing the central depots of the Taliban’s three principal military and intelligence institutions: the Ministry of Defense, the Ministry of Interior, and the GDI. Attached are videos so the Taliban understands that I am serious here. These trucks were ferrying weapons left behind by the United States, along with ammunition from Taliban-controlled depots in the Central and Eastern Zones, to newly constructed “classified” (oops, classified no longer) storage sites in Kandahar, Uruzgan, and Helmand provinces. These locations were chosen due to the Taliban’s historic strongholds during their twenty-year insurgency, but they forget that some of us made friends there, too. Why They Moved the Arsenal The relocation plan began immediately after recent Pakistani Air Force strikes on terrorist camps belonging to designated foreign terrorist organizations such as Al-Qaeda and Tehrik-e-Taliban Pakistan (TTP), as well as on Taliban weapons stockpiles across Kabul, Nangarhar, Khost, Paktia, Paktika, Kunar, and Kandahar. The strikes rattled the Taliban’s leadership, and I enjoyed every second of the internal implosions, as they couldn’t find the source of the leak(s) that compromised their weapons depots. It finally hit them that their entire storage network had a massive vulnerability and was no longer safe or secure. The Order From Haibatullah The Taliban’s Supreme Leader Mullah Haibatullah personally ordered the redistribution of these weapons on Wednesday, October 15, 2025, during a meeting of the Taliban Cabinet’s Leadership Council at Mandigak Palace in Kandahar’s 2nd security district. While the meeting addressed other issues, including appointing a delegation led by Mullah Yaqoob for “peace” talks with Pakistan in Doha, Qatar, the core agenda was simple: secure the arsenal, move it far from Pakistan’s targeting reach, and hide it where outsiders (a reference to people like me) cannot locate it. They were so close to meeting all these objectives. The Transfer Plan Again, fearing that Pakistan had acquired precise coordinates for their long-standing depots, they devised a multi-layered, compartmented transfer system designed to eliminate tracking and shield the operation from internal leaks. Well, I guess there is no better time than now to leak it. The plan relied on three groups of drivers: let’s call them what the Taliban did—Group A, Group B, and Group C. Group A: These drivers transported the weapon-loaded trucks from Kabul’s central depots to the Salar area of Maidan Wardak, where the trucks were handed off to Group B. The drivers were not given each other’s identities and were barred from seeing each other’s physical features. The handover occurred only after Group B confirmed a rotating codeword issued directly by the Ministry of Defense and Haibatullah’s Leadership Council. You don’t really need to know this part, but it’s very important for the Taliban to understand that I know it. Group B: These drivers then moved the cargo to the end of Shah Joy also known as Shahr-e-Safa between Zabul and Kandahar, and onward to the entrance of Daman district. The first two videos are evidence from the Group B movement. There, another codeword-verified the handover and transfer of the weapons to Group C. It's just like the movies, isn't it?! Group C: These drivers were no ordinary unit. How could they be? They were supposed to be the only individuals who knew the final weapons storage locations. Video evidence from the Group C transport is the third attachment. This segment of the movement was carried out by Omari Lashkar, a special forces unit tasked with protecting Haibatullah. The unit also received transport support from the Al-Badr Force, a special forces unit under the command of Mullah Yaqoob. These fighters-turned-drivers were originally trained as suicide operatives who were never selected for missions (not the best look boys, you couldn’t even hack it as a suicide bomber) and have now been reorganized into parts of the Taliban’s special operations units. For this move, both units fell under the direct command of Mawlawi Abdul Ahad Talib, the current Taliban Police Chief in Kandahar. Group C’s overall mission was to deliver the U.S. weapons and ammunition into newly carved tunnel complexes in the remote, mountainous regions of Kandahar, Uruzgan, and Helmand. These tunnels were dug out after 2022 on Haibatullah’s verbal order and built by the Taliban’s Ministry of Defense as hardened, covert weapons depots. Their locations were meant to be isolated, inaccessible, and fortified—a model of next-generation strategic storage by terrorists. The Monitoring System Along the route, observation posts were established about every 60 miles on mountain tops and high ridges to monitor the entire process (see the last attached video showcasing one of these posts). Each post had three purposes: (1) To monitor the weapon-transporting trucks in real time and ensure they did not deviate from their assigned route; (2) To host liaison officers from the Ministry of Defense, the Ministry of Interior, and GDI who monitored the trucks' movements when they entered their zone; and (3) To communicate and maintain constant contact with the truck drivers to solve any issues immediately. And here is the part the Taliban will really hate: every one of these movements was tracked. Every handoff. Every convoy. Every tunnel entrance. If you think you buried those locations so deep that no one knows where you’re hiding your arsenal now, you are sorely mistaken. A Final Message for the Taliban For My Dear Friends in the Taliban: You wanted a reaction. What you got was a lesson. I really hate having to make you move your weapons again, just kidding, I don't give a damn!show more

This is my "feel the AGI" moment: I used... GPT-5.6 Sol to train my own autocorrect model that outperforms GPT-5.6 Sol (wtf??) I have no ML background. I have no idea what I'm doing. I just kept pushing Sol until it spat out a SOTA model. And I spent $0. The motivation: Years of talking to AI have made me terrible at typing. Rather than fix my skill issue, I decided to throw more AI at it. My idea was: instead of autocorrect that interrupts my flow, I want to type fast with mistakes and have AI clean it up after. I wanted the smallest local model possible, for speed, for battery life, for science! So I decided to train my own. Inspired by Andrej Karpathy’s autoresearch, I ran Codex /goal with this setup: pick an experiment, try it, record the results to a doc, throw it out if it fails, and plan the next experiment without repeating failures. I gave a few examples that had to pass, tight latency targets, and let it run. Sol did some amazing things. First, it scanned benchmarks and shortlisted base models: Qwen 3.5, Gemma 4, Liquid LFM 2.5. It found a dataset on HuggingFace for typed text. Then it built a simulator for fingers striking a Mac keyboard, modeling the physical layout with a Gaussian distribution around each key. It simulated striking the wrong key, wrong order, fat-fingering, etc. With the models + data + simulator, it fine-tuned using MLX right on my MacBook. It had a working prototype within an hour! But accuracy was pretty poor. — Problem 1: Tokenization Sol read papers, ran tests, and identified that the tokenizer was the bottleneck. Tokenization makes typos hard for the model to see, so it memorizes mappings instead of using its language priors. Sol tried ByT5, Google’s tokenizer-free byte-level LLM. This made a big improvement, but the model is old and lacked the knowledge needed to reach Sol performance. Sol dug deeper and realized a tokenizer-free model isn’t needed; instead, it used T5Gemma, an encoder-decoder model. This can understand the input deeply before producing output, and furthermore, Sol could post-train the encoder to improve performance. This gave a much higher ceiling. — Problem 2: Loss function Now the model was correcting some typos perfectly, but ignoring most. Sol realized that standard cross-entropy loss was teaching the model to avoid edits, because the vast majority of characters in the training data were left unmodified. The fix was wild: Sol wrote a custom loss function that byte-aligns the source and target strings, uses a dynamic programming algorithm to compute the minimum edits between the two, then weights correct edits much higher than copies. After a lot of tuning, this dramatically improved accuracy. — Problem 3: Autoregression One failure mode remained: if the model made a mistake, it couldn’t backtrack. It could only predict the next token. Teaching it to “think” like a reasoning model would solve this, but would be far too slow. Sol found a beautiful solution: instead of greedily predicting the next token, beam search over all possibilities. This parallelizes the exploration instead of one linear chain-of-thought. At the end, choose the path with highest cumulative log probability. This worked great, but made the experience worse, since the user wouldn’t see progress until the whole search was done. To fix this, Sol made a clever observation: after each search step, the longest common prefix among surviving branches is guaranteed to appear in the final result, so it can be displayed immediately. As the search progresses, weaker paths are dropped and the prefix grows, so the user sees continuous progress. Sol built all this as a custom MLX pipeline that does the parallel decoding on the MacBook GPU, with just ~40ms TTFT. It’s crazy fast and entirely local. — Final eval (error reduction rate, higher is better): - Apple autocorrect: 49.66% - GPT-5.6 Luna: 82.47% - GPT-5.6 Terra: 87.64% - GPT-5.6 Sol: 90.56% - Our model (1.7B): 91.02% Final cost: - 1 quota reset (thanks Tibo) - $0 (And yes, I verified there's no cheating. In fact, we test words scrubbed from the training data to prove the model isn’t memorizing) There were a ton more details and tangents I could write about: contrastive learning, GRPO, DPO, dynamic masking, and more. Sol is a fascinating and creative model. It blew my mind so many times. Don’t let a lack of experience stop you: Sol makes AI experiments accessible to anyone!show more