XynHost @XynHost

Every Mac on macOS 27 now has a free LLM built into the Terminal. No account. No API key. No internet. No token bill. Setup (1 minute): 1. sudo fm license (enter your Mac password, one time) 2. fm available (checks the model is downloaded) 3. fm respond “your question” Works on any Apple Silicon Mac, M1 included. - Pipe files: cat notes.txt | fm respond -i “summarize this” - Get JSON back: build a schema with fm schema object, pass it with --schema - Local API: fm serve gives you an OpenAI-compatible endpoint on localhost - Resume chats: sessions save to ~/.fm/sessions/ The limit is 4,096 tokens per session, and your prompt, instructions, and the answer all share it. So skip code and math. Use it for summarizing, extracting, classifying, and rewriting. Free, private, offline, and already on your Mac.

🚨 WARNING: A BIG STORM IS COMING!! The Fed just released new macro data, and the outlook is getting WORSE. If you're holding stocks, Bitcoin, or ANY risk assets, you need to pay attention. A massive global sell-off could be approaching, but almost nobody sees the warning signs. Inflation pressure is building beneath the surface while markets keep pushing higher. And here's the most dangerous part: THE FED IS GETTING TRAPPED. Here's what most investors are missing: 1️⃣ INFLATION IS ACCELERATING AGAIN. → Headline PCE: 3.4% → Core PCE: 3.0% → CPI: 3.4% → 3.7% → Monthly PPI: 0.5% → 1.3% The Fed's target is just 2%. Inflation remains elevated, yet the economy is still showing strength. That makes rate cuts harder to justify and puts further tightening back on the table. 2️⃣ THE U.S. DEBT CRISIS IS GETTING BIGGER. → National debt: $40.3 TRILLION+ → Annual interest costs: $1.14 TRILLION → Interest spending: +11% YoY → Federal deficit: Nearly $2 TRILLION The government keeps borrowing while interest payments consume an increasing share of its budget. Higher rates only make the problem worse. 3️⃣ THE FED IS TRAPPED. Keep rates high → More pressure on businesses, debt and asset valuations. Cut too early → Risk another inflation surge. Either way, the market faces a serious liquidity problem. 4️⃣ THE NEXT MARKET CRASH? Here's the scenario I'm watching: Inflation ↑ → Bond yields ↑ → Liquidity ↓ → Stocks ↓ → Bitcoin ↓ We've seen liquidity shocks before. 2000 → Dot-com collapse 2008 → Financial crisis 2020 → COVID crash Different triggers. Same lesson. Markets often look strongest when investors are least prepared for a sudden reversal. And I believe we're approaching another major turning point. I publicly called Bitcoin's $16K bottom and $126K top. My next major market call will be posted here first. Follow and turn on notifications. You don't want to miss what's coming.

Women with beautiful souls upon seeing their husbands ♥️🙏

どこで買えばいいか分からない人はこれだけ覚えて。 CHoCH×フィボナッチの最強の押し目買い手法

📍Ring/Mirror like structure of Ayatul Kursiyy

🇹🇷 Istanbul’s roads are now COLLAPSING as the city faces FLASH FLOODING. The chaos has reached multiple districts: Hospitals, a metro station, and a school have been damaged by the rising waters. It’s ANOTHER city buckling under the pressure of rising floodwaters. Source: Türkiye Today / Writer: Marie x.com/EmParlak/statu… x.com/EmParlak/statu…

Bitcoin 4-Year Cycle Continues: Cycle 1 (2011–2014) 2011 — Buy 2012 — Hold 2013 — Sell 2014 — Bear Market Cycle 2 (2015–2018) 2015 — Buy 2016 — Hold 2017 — Sell 2018 — Bear Market Cycle 3 (2019–2022) 2019 — Buy 2020 — Hold 2021 — Sell 2022 — Bear Market Cycle 4 (2023–2026) 2023 — Buy 2024 — Hold 2025 — Sell 2026 — Bear Market ← WE ARE HERE Cycle 5 (2027–2030) 2027 — Buy 2028 — Hold 2029 — Sell 2030 — Bear Market So far, the 4-year cycles have played out perfectly. With the pattern continuing, the best buying time is now. For the record: I called Bitcoin’s last cycle top at $126,000 and told you to buy when Bitcoin was at $60K in June. The next call could be even more important. I’ll post it here publicly like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

the hell going on in USA

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🚨 ₺1.6 TRILLION wiped out from Turkey's stock market in last 12 days, as authorities start arrests and fund freezes to control the market crisis. 25 people now face prosecution, 15 are already in custody, and 10 suspects are still on the run. The frozen assets belong to executives at four investment firms. It started when several fund managers couldn't pay investors back last week, and the failed redemptions turned into a broader sell off. Turkey's stock market fell 10% in a single week alone, the worst weekly crash since March 2025. To contain the damage, regulators have now ordered 131 funds to be liquidated, and extended the process from 3 months to 6.

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#TurkeyWatch🇹🇷: Turkey’s stock-market scandal continues to unravel. Authorities have frozen funds run by 7 asset managers, ordered 130 funds liquidated, and referred 38 people to prosecutors over suspected market manipulation. Turkey's periodic scandals are as common as a beautiful sunset on the Bosporus. Stay tuned.

@macropaperr @grok is this related to the stock market crash?

Over ₺1,300,000,000,000 erased from the Turkey stock market today. Absolute Bloodbath.

🚨 THEY DON’T WANT THIS PUBLIC. I’M POSTING IT ANYWAY. What you’re looking at in this image is HOW THE GAME IS ACTUALLY PLAYED. Most traders think insiders have some secret indicator. Wrong. They care about something much more important: WHERE LIQUIDITY SITS, WHO’S TRAPPED, AND WHERE THOUSANDS OF TRADERS WILL BE FORCED TO BUY OR SELL AT THE SAME TIME. That last part is what almost everyone misses. Institutions don’t need to know where YOUR stop is. They only need to know where thousands of people are likely to put the SAME stop. Because large players have a problem retail doesn’t: They need liquidity to enter and exit size. If they want to buy heavily, they need sellers. If they want to sell heavily, they need buyers. Retail provides both. That’s what the structures in this image show: - QML setups - Fakeouts and liquidity grabs - Buy-side and sell-side liquidity - Equal highs and equal lows - Stop hunts and liquidity sweeps - BOS, CHOCH and market structure shifts - Order blocks and breaker blocks - FVGs and imbalances - Demand and supply flips - Compression into expansion - Previous-day and previous-week liquidity - Session highs and lows - Wyckoff accumulation and distribution - Bull traps and bear traps - Reversal structures that repeat cycle after cycle But here’s the real alpha: ALL OF THESE SETUPS ARE BUILT AROUND FORCED ORDERS. Your stop isn’t just protection. Once it gets triggered, it becomes liquidity for someone on the other side: - A liquidation creates a forced market order. - Breakout forces traders to chase. - Failed breakout forces those same traders back out. - Squeeze forces shorts to buy. - Long squeeze forces leveraged longs to sell. And the important part is that these orders are NOT randomly distributed. They cluster around the same obvious levels. That is why NONE OF THIS IS ACCIDENTAL: - Retail sees support. Insiders see sell orders waiting underneath it. - Resistance. Insiders see buy orders waiting above it. - A breakout. Insiders ask who just became trapped. - A huge wick and calls it volatility. Insiders ask which liquidity pool just got cleared. Once you understand this, you realize the game is not about predicting every candle. It’s about predicting WHERE THE NEXT FORCED REACTION WILL HAPPEN. You stop chasing green candles. You stop panic-selling red ones. You stop putting your stop exactly where everyone else puts theirs. And moves that used to look completely random start making sense. Save this tweet. Study it. There are 91 structures on it. Study them until you stop seeing “patterns” and start seeing what actually matters: WHO IS TRAPPED, WHERE THEIR ORDERS ARE, AND WHO NEEDS THAT LIQUIDITY. Remember, I’ve been trading markets for over 15 years. I follow what insiders are doing in real time, and when I see something important, I’ll post it here publicly like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

This is the story of FCKGW-RHQQ2-YXRKT-8TG6W-2B7Q8. I was the primary author of Windows Product Activation on the operating systems side. Not the key math – those were the ACTUALLY smart guys with heads so big that they bumped the doorjamb on the way into your office. I just did the protection of and integration into the operating system. As you likely recall, Product Activation required that you have a key, and you’d have to activate it online or over the phone. But Microsoft had large corporate customers, think hundreds of thousands of PCs, and those customers did not want to have to activate every offline PC. So in that case, you would be given special “Volume Media” that could be unlocked with a Volume key. That way, a volume key could never unlock your retail CD. Now, to know what media you have, I inspect the disc image. And the Volume licensing media contained a special binary blob that I made. It was about 10MB of data, entropy stripped, hard to duplicate on Usenet at the time. And it was only present on the Volume media. That secret data, which I hashed and checked to match to the key, was Microsoft Bob. I took their disc data and compressed and encrypted it several times. Rest assured it’s encrypted and even in the AI age no one has extracted it yet. I really just needed random data, so I started with a precompressed binary image because, secretly, I was young and didn’t know if I could trust CryptGenRand  And so, if you ever tried the FCKGW key on a regular XP CD, it wouldn’t work, because you didn’t have Bob buried in your bits. But if you had the means in 1995 to download large ISO binaries or copy CDs, all it took was the key and a copy of the disc. The key itself still had to pass the product-key validation math (the part I didn’t own). Once it did, WPA simply skipped the rest of the process. That combination—valid VLK + matching volume media—is what made the install look fully legitimate, including early Windows Update checks. How it leaked RTM went to manufacturing on 24 August 2001. Retail launch was 25 October. Roughly five weeks before launch the warez group Devils0wn (often written “Devil’s Own”) posted a complete, non-beta “Windows XP Pro Corporate” ISO together with the FCKGW key. That ISO was the volume media. Pirates then started baking the key into images or just writing it on the CD with a Sharpie. The famous photo of the marked-up disc is from that scene. The most plausible source is an OEM or hardware partner that received final media early so they could ship PCs on launch day. Dell is the name that comes up most often; Intel has also been mentioned because of later source dumps. There were very few organizations that actually possessed a VLK that early, which is why the timing points at a partner rather than a random corporate customer. But I do not know. Presumably someone does. Aftermath We started blacklisting the Product IDs that belonged to the leaked keys (FCKGW decoded to one of the 640-range PIDs we later treated as toxic) in SP1. SP2 and Windows Genuine Advantage made the check more aggressive and also started blocking updates for those installs. Other, un-leaked VLKs continued to work on volume media for years; Microsoft did not kill the entire volume-licensing path, just the ones that had escaped. So the design decision was “give trusted big customers a convenient offline path.” The operational failure was that the media and one of those keys left the building before the product even reached stores. Once both pieces were public, WPA’s hardware-binding never got a chance to run. These Days If you’re curious about what I’m doing today, check out Task Manager TMOG at tmog.org where you can download the Free version! It runs fully native on Windows, Mac, and Linux!

还在为不会摄影而烦恼吗 在没钱学摄影的年纪 遇见了取景定位黄金比例尺 这工具就是为小白而做的

In 1986, every casino in Vegas banned Bill Benter for counting cards. So he took $180,000 to Hong Kong and used the same math on horse racing and walked away with $900 million. Bookmark & watch today, no matter what.

8 SUBJECTS CHILDREN OF WEALTHY PARENTS STUDY AS SOON AS THEY LEARN TO READ: 1. Metacognition

People underestimate the power of great prompts. Here are 5 frameworks you can copy & paste: [ bookmark 🔖 this post for later ] 1 - R-A-I-N ➟ Act as a (ROLE) ➟ State the (AIM) ➟ Use the provided (INPUT) ➟ Hit the (NUMERIC TARGET) ➟ In this (FORMAT) R-A-I-N Example: ➟ ROLE: UX design lead ➟ AIM: Redesign e-commerce checkout to lower cart abandonment by 25% ➟ INPUT: Analytics data ➟ NUMERIC TARGET: 25% decrease ➟ FORMAT: Mobile wireframes + conversion metrics table 2 - C-L-A-R ➟ Given the (CONTEXT) ➟ List any (LIMITS) ➟ Describe the (ACTION) ➟ Define the expected (RESULT) C-L-A-R Example: ➟ CONTEXT: Warehouse delay logs ➟ LIMITS: Focus on the top two causes ➟ ACTION: Quantify impact + propose three fixes ➟ RESULT: One-page memo 3 - F-L-O-W ➟ Specify the (FUNCTION) ➟ Set the audience (LEVEL) ➟ Define the (OUTPUT) ➟ Clarify the (WIN METRIC) F-L-O-W Example: ➟ FUNCTION: Career copywriter ➟ LEVEL: Recent graduates ➟ OUTPUT: 900-word article with 4 job search tips ➟ WIN METRIC: 1.5% keyword density + CTA checklist 4 - P-I-V-O ➟ State the (PROBLEM) ➟ Provide key (INSIGHTS) ➟ Choose the (VOICE) ➟ Outline the desired (OUTCOME) P-I-V-O Example: ➟ PROBLEM: Mobile app adoption is slowing ➟ INSIGHTS: Identify friction points + share 3 user insights ➟ VOICE: Persuasive ➟ OUTCOME: Two strategies to regain growth in 60 days 5 - S-E-E-D ➟ Describe the (SITUATION) ➟ Define the (END GOAL) ➟ Supply illustrative (EXAMPLES) ➟ List the (DELIVERABLES) S-E-E-D Example: ➟ SITUATION: Create a 6-week communication program ➟ END GOAL: Skills in listening, feedback, conflict resolution, presence, alignment ➟ EXAMPLES: Weekly remote-team exercises scored on clarity & impact ➟ DELIVERABLES: Assessment framework + marketing hook 📌 Get Advanced ChatGPT Guide (free): bit.ly/3StIB3z 👉 Follow me @AndrewBolis for more and 🔄 Repost this to help others use AI

Anthropic’s Claude is becoming much more than an AI chatbot. It’s evolving into a complete ecosystem for reasoning, coding, agents, workflows, memory, security and enterprise deployment. Here’s a simple breakdown: 01 — Core Models Claude offers different models for different workloads: → Claude Opus 4.8 — advanced reasoning and complex agentic work → Claude Sonnet 4.6 — balanced speed and intelligence → Claude Haiku 4.5 — fast and lightweight tasks → Claude Mythos — security-focused model in preview 02 — Agent Framework & Tools Claude can be connected to tools and external systems. → Claude Agent SDK → Claude API → MCP (Model Context Protocol) → Managed Agents → Multimodal Input → Tool/API integrations → Claude Marketplace 03 — Production & Workspace This is where Claude moves from experimentation to real work. → Claude Code → Claude Cowork → Claude Design → Workspace integrations → Chrome → Excel → PowerPoint → Slack 04 — Memory & Storage AI systems need context to become more useful over time. → Claude Context Store → Memory Store → Context Window Cache → Safe Artifact Repository → Model Weights Archive 05 — Security & Governance Enterprise AI also needs strong safety and governance. → Claude Security → Zero Trust Security Framework → Constitutional AI Checker → RLHF Compliance Engine → Adversarial Defense Layer → Model safety evaluation 06 — Deployment & CI/CD The final layer is about taking AI systems into production. → Anthropic inference infrastructure → Research workflow pipelines → CI/CD pipelines → RLHF data preparation → Model safety evaluation → Instruction tuning → Continuous model improvement The bigger picture: Models → Agents → Tools → Workflows → Memory → Security → Production That’s the important shift. AI platforms are no longer just about generating text. They’re becoming complete systems that can reason, use tools, remember context, execute workflows and operate inside real business environments. Save this visual for your AI learning journey. Follow @AamirAnsar94694 for more AI, tools, productivity and growth insights. #AI #Claude #Anthropic #AIAgents #GenerativeAI #AIEngineering #MCP #LLM #AITools #Automation

the best 20 accounts to follow in AI: @karpathy = learn LLMs @steipete = learn openclaw @gregisenberg = learn startup ideas @rileybrown = learn vibecoding @corbin_braun = learn cursor @jackfriks = learn solo apps @levelsio = learn solo startups @marclou = learn solo startups @EXM7777 = learn AI ops + systems @eptwts = learn AI money @alex_prompter = learn prompting @mardehaym = learn enterprise AI @vasuman = learn AI agents @AmirMushich = learn AI ads @0xROAS = learn AI UGC @AndrewYNg = learn AI engineering @kloss_xyz = learn systems architecture @emollick = learn AI science @Hesamation = learn AI/ML @claudeskills101 = learn Claude follow them all and learn.