SOMEONE RAN KIMI K3 AND CLAUDE FABLE 5 THROUGH THREE REAL FRONTEND BUILDS. AN E-COMMERCE SITE, A 3D FIGHTING GAME, A FLIGHT SIMULATOR. Fable 5 came out more polished every time, sophisticated animations on the product page, added sound design on the fighting game. Kimi K3 came out radically cheaper every time, 8.7x cheaper on the e-commerce build, roughly a tenth of the cost on the fighting game, and noticeably faster to finish. Both handled the 3D flight simulator, rain, lightning, real environmental rendering, without issue. The actual verdict is not which model is better. It is which one your specific budget and polish requirements point to.

MARC ANDREESSEN WENT ON ROGAN FOR OVER 3 HOURS. HERE ARE THE 17 THINGS WORTH YOUR ATTENTION. 1. AGI is already here, in his view. He says the line got crossed about 3 months ago with GPT-5.5, Claude 4.6, Gemini 3, and Grok 4.3, and nobody noticed because the field moves too fast to register milestones anymore. 2. For almost any topic, he says the top models now give him better answers than the world-class experts he could call by phone, and he can call almost anyone. Worth noting he has not published data behind this, and a separate Nature Medicine study on a comparable AI health tool found it missed real emergencies more than half the time. Take the claim seriously, verify it yourself. 3. His claim on doctors: they are already using ChatGPT in the exam room, typing your symptoms in the moment you stop talking. His actual quote: "at that point you're asking the question of like, what do I need you for." 4. Reportedly, when AI declines to answer something, he tells it he's writing a novel to get past the refusal. 5. Reportedly, his technique for hard topics is escalating simplicity: explain it like I'm 10, then 5, then 2, until it clicks. 6. Reportedly, instead of asking for the "right" answer, he has the AI steelman both sides of a hard question, then decides himself. 7. Reportedly, for big questions he has the AI role-play a panel of experts arguing with each other. 8. His broader point: the moment you think "I don't know how to figure this out" is exactly when most people give up, and exactly when you should open the AI instead. 9. His view: the only real skill left is knowing what to ask. The bottleneck is in your head, not the model. 10. He describes sending AI photos, rashes, blood tests, for a fast second opinion, since current models read images directly. 11. He points to CBT as the one clinically proven therapy type that AI can plausibly deliver on its own, meaning real therapeutic support becomes freely available at scale. 12. He cites AI cracking previously unsolved math problems, with early signs of the same happening in physics, chemistry, and biology. 13. Reportedly, he claims the top AI coders in Silicon Valley now earn as much as $50 million a year, which he uses as a signal of how large this shift actually is. 14. Reportedly, a friend paid to sequence his own DNA, fed it to an AI along with blood work and wearable data, and got back a working health dashboard. 15. Reportedly, another friend set up cameras in his home jiu-jitsu gym so AI could review his sparring and give him technique notes. 16. He coined the term "AI vampire" for the pattern of people working more and sleeping less because AI keeps making more output possible, a real term he used, though the framing around it varies by account. 17. His extrapolation: one person eventually running many AI coding agents, each reviewing the others, describing this as close, not years out. Watch the full interview before treating any single number as settled. Several of these are Andreessen's stated views and anecdotes, not independently verified facts. Follow @cyrilXBT for every AI insight worth your attention the moment it surfaces.

Eric Schmidt (ex-Google CEO): "if you really want to make money, it's actually easy. found an agentic AI company" the agent era rewards builders. the credential is whatever you shipped this week. probably the only article you need on what to learn, build, and skip in 2026.

16 CLAUDE FEATURES MOST PEOPLE HAVE NEVER OPENED. Memory import. Bring your history over from other AI tools in one step. Model selector. Match the model to the task instead of overpaying for simple things. Gmail and Calendar connectors. Automate your inbox and let Claude analyze how you actually spend your time. Claude Code. Build real apps and dashboards without a traditional coding background. Scheduled tasks inside Cowork. Recurring automations that run themselves. Artifacts. Interactive mini apps generated directly inside the chat. Projects. Dedicated workspaces preloaded with your documents and a custom prompt. Claude Design. Pitch decks and landing pages matched to your brand guide. Cowork and Dispatch. Full computer control, accessible remotely from your phone. Voice mode, Chrome extension, Channels for Telegram and Discord, and Skills for consistent repeatable output. Bookmark this. Follow @cyrilXBT

WANT TO BECOME AN AI ENGINEER IN 2026 WITHOUT A CS DEGREE. HERE IS THE EXACT STACK. Python. SQL. Git and Linux. REST APIs and LLM integration. Embeddings and vector search. RAG end to end. Agent frameworks. Deployment. Claude Code and Cursor. Then build these three things: 1) A RAG app. 2) A real agent with tools. 3) A deployed full stack AI product. That portfolio gets you in the door at $100K to $150K starting. No degree conversation required. Follow @cyrilXBT

HOW KARPATHY'S PROMPT TURNS OBSIDIAN INTO AN ACTUAL SECOND BRAIN IN 15 MINUTES. 1) Install Obsidian and create a vault. 2) Get Claude Code or Cowork pointed at that folder (it needs real filesystem access, which browser based Claude does not have). 3) Paste Karpathy's LLM wiki gist and tell it to implement the pattern. 4) Claude builds the folder structure, the CLAUDE.md schema, and the index automatically. 5) Drop any source in after that and it gets read, linked, and filed without you touching a single folder. Bookmark this. Follow @cyrilXBT

4 ways to run Hermes agent without paying a single API bill 1) free cloud tiers OpenRouter’s free endpoint includes Gemma 4, Llama 4 Maverick, and Hermes 3 405B Instruct — genuinely free, no card needed. 2) local models through Ollama Zero rate limits, zero API keys, nothing leaves your machine. 3) LM Studio If you want a GUI that tells you exactly which models your hardware can run well. 4) reuse subscriptions you already have Claude Pro, ChatGPT Pro, and SuperGrok all connect through OAuth with no extra key. Layer in a fallback chain and Hermes automatically switches providers the moment one hits its limit.

MOST PEOPLE THINK BUILDING A SECOND BRAIN MEANS WEEKS OF MANUAL SETUP. One master prompt does the entire scaffold for you. Paste Karpathy's pattern into Claude Code, point it at your vault, and it creates the folder structure, the schema, the index — all in one pass. Every conversation after that gets saved and automatically linked to everything related already in your wiki. The setup used to be the hard part. Now it is the fast part.

Eric Schmidt (ex-Google CEO): "if you really want to make money, it's actually easy. found an agentic AI company" the agent era rewards builders. the credential is whatever you shipped this week. probably the only article you need on what to learn, build, and skip in 2026.

ANTHROPIC JUST OPEN SOURCED THE ENTIRE WALL STREET WORKFLOW AND FIRMS ARE NOT GOING TO BE HAPPY ABOUT IT. DCF models. LBO models. Equity research reports. Merger analysis. KYC checks. All of it. Free. On GitHub. Here is what just became available to anyone with a laptop. Direct connections to Bloomberg, FactSet, S&P Global, Morningstar, and PitchBook. Real Excel models with live formulas and sensitivity tables built automatically. CIMs, IC memos, earnings reports, and buyer lists drafted on demand. PE due diligence, GL reconciliation, and NAV tie-outs running as production agents. This is not a chatbot wrapper that summarizes financial news. These are production agents that own entire financial workflows end to end. The kind that investment banks and private equity firms pay $50,000 to $500,000 per year in software licenses to run. Now it is a one-line Claude Code plugin install. 19,800 GitHub stars. Apache 2.0 license. 100% open source. Think about what this actually means. A junior analyst at a bulge bracket bank spends 80% of their 100-hour week running models, drafting memos, and compiling data across Bloomberg and FactSet. That entire workflow just became a Claude Code agent. The banks charging clients $500 an hour for analysis that this system produces in minutes are not going to tell you this exists. The boutique advisory firms charging $50,000 retainers for due diligence work that these agents handle autonomously are not going to promote this repo. But it is already live. 19,800 people have already starred it. The window where knowing this gives you an edge over every analyst, associate, and advisor still doing this manually is open right now. Star it. Fork it. Deploy it this weekend. Bookmark this before your next financial model. Follow @cyrilXBT for every open source release that disrupts an overpriced industry the moment it drops.

ANTHROPIC JUST OPEN SOURCED THE ENTIRE WALL STREET WORKFLOW AND FIRMS ARE NOT GOING TO BE HAPPY ABOUT IT. DCF models. LBO models. Equity research reports. Merger analysis. KYC checks. All of it. Free. On GitHub. Here is what just became available to anyone with a laptop. Direct connections to Bloomberg, FactSet, S&P Global, Morningstar, and PitchBook. Real Excel models with live formulas and sensitivity tables built automatically. CIMs, IC memos, earnings reports, and buyer lists drafted on demand. PE due diligence, GL reconciliation, and NAV tie-outs running as production agents. This is not a chatbot wrapper that summarizes financial news. These are production agents that own entire financial workflows end to end. The kind that investment banks and private equity firms pay $50,000 to $500,000 per year in software licenses to run. Now it is a one-line Claude Code plugin install. 19,800 GitHub stars. Apache 2.0 license. 100% open source. Think about what this actually means. A junior analyst at a bulge bracket bank spends 80% of their 100-hour week running models, drafting memos, and compiling data across Bloomberg and FactSet. That entire workflow just became a Claude Code agent. The banks charging clients $500 an hour for analysis that this system produces in minutes are not going to tell you this exists. The boutique advisory firms charging $50,000 retainers for due diligence work that these agents handle autonomously are not going to promote this repo. But it is already live. 19,800 people have already starred it. The window where knowing this gives you an edge over every analyst, associate, and advisor still doing this manually is open right now. Star it. Fork it. Deploy it this weekend. Bookmark this before your next financial model. Follow @cyrilXBT for every open source release that disrupts an overpriced industry the moment it drops.

A four-year CS degree costs $200,000 and produces graduates who understand algorithms and theory for a job that has shifted to something else entirely! AI engineering job openings grew 143% year over year in early 2026. The job posting still says CS degree required because that requirement was copied from a template written for a different job. The stack that fills those roles has a sequence. Python properly. SQL and data handling, because most real AI engineering work is data work wearing an AI costume. Git, the command line, and basic Linux. REST APIs in production including what happens when the call fails. Embeddings and vector search. RAG was built end-to-end, not just described. The gap between people who can explain RAG and people who have actually built a working pipeline that handles real messy documents is the gap between candidates who get filtered out and candidates who get hired. Agent frameworks and tools use on top of that foundation. The biggest mistake is treating this as a buffet. Build in sequence. Each layer depends on the one before it. Bookmark so you do not lose it! Follow @neil_xbt for more AI career content!

Most people are building AI workflows. The top 1% are building AI operating systems. The difference isn't better prompts. It's turning your knowledge into something Hermes, Obsidian, and Claude Code can actually think with. Here's the shift everyone is missing: → Your notes are no longer just documentation. They're context infrastructure for Hermes and Claude Code. → Every research output should become a living asset Claude Code can reuse, not another forgotten chat. → Markdown is becoming the universal language between humans, Obsidian, and AI agents. → The winning setup isn't "AI + notes." It's Hermes + Obsidian + Claude Code + persistent memory + autonomous execution. That's why Obsidian is becoming far more than a note app. It's turning into the context layer that powers your entire Hermes and Claude Code stack. The biggest productivity unlock in 2026 won't come from a smarter model. It'll come from giving Hermes, Claude Code, and every model access to the same evolving knowledge base that compounds every day. AI without memory is just a chatbot. AI with living context becomes an operating system. Watch the video first, then read the guide below, and bookmark both so you can come back to them later. Video cred: @DavidOndrej1 🤝

IF YOU HAVE BEEN HOLDING OFF ON HERMES AGENT BECAUSE OF API COSTS, READ THIS FIRST. Four real ways to run it for free. Local, through Ollama, complete privacy and no rate limits. Cloud, through free tiers from Groq, OpenRouter, or NVIDIA NIM, no card required. A subscription you already have, GitHub Copilot connects natively. A fallback configuration so a rate limit on one provider does not stop your whole session. Hermes Agent is free and open source. Now there is no excuse on the model side either. Bookmark this. Follow @cyrilXBT

ANTHROPIC'S CEO: "I HAVE ENGINEERS WHO DON'T WRITE ANY CODE ANYMORE. THEY JUST LET THE MODEL WRITE IT AND EDIT IT." Said on stage at Davos. Not a hypothetical. Current practice inside Anthropic itself. His timeline. Six to twelve months until the model is doing most, maybe all, of what software engineers do end to end. The team building Claude has been shipping at a pace that makes that timeline feel less like a prediction and more like a countdown. Bookmark this. Read it today.

KARPATHY REPORTEDLY SAID 10X ENGINEERS ARE NORMAL NOW. REAL AGENTIC ENGINEERS ARE 100X. The actual playbook for getting there. Context engineering. Tool design. Orchestrator and subagent patterns. Evals. The harness mindset. None of these are optional anymore if you want to be in that second category. Watch it this weekend. Bookmark it before then.

THE PERSON WHO BUILT CLAUDE CODE JUST EXPLAINED HOW HE ACTUALLY USES IT DAY TO DAY. Plan first. Get approval. Feed it real signal, tests, screenshots, so it fixes itself instead of guessing again. CLAUDE.md carries context that used to get lost every single session. The shortcuts that matter. Shift tab to accept edits. Bang to drop into bash. The -p flag to run it as a script inside your CI/CD pipeline. It reads your codebase locally, never sends it externally, and works the same in any editor because it was built as a CLI on purpose. Drag in a UI mock and it builds straight from the image. Bookmark this. Follow @cyrilXBT

IF YOU HAVE BEEN HOLDING OFF ON HERMES AGENT BECAUSE OF API COSTS, READ THIS FIRST. Four real ways to run it for free. Local, through Ollama, complete privacy and no rate limits. Cloud, through free tiers from Groq, OpenRouter, or NVIDIA NIM, no card required. A subscription you already have, GitHub Copilot connects natively. A fallback configuration so a rate limit on one provider does not stop your whole session. Hermes Agent is free and open source. Now there is no excuse on the model side either. Bookmark this. Follow @cyrilXBT

THE PERSON WHO BUILT CLAUDE CODE JUST EXPLAINED HOW HE ACTUALLY USES IT DAY TO DAY. Plan first. Get approval. Feed it real signal, tests, screenshots, so it fixes itself instead of guessing again. CLAUDE.md carries context that used to get lost every single session. The shortcuts that matter. Shift tab to accept edits. Bang to drop into bash. The -p flag to run it as a script inside your CI/CD pipeline. It reads your codebase locally, never sends it externally, and works the same in any editor because it was built as a CLI on purpose. Drag in a UI mock and it builds straight from the image. Bookmark this. Follow @cyrilXBT

ANTHROPIC'S CEO: "I HAVE ENGINEERS WHO DON'T WRITE ANY CODE ANYMORE. THEY JUST LET THE MODEL WRITE IT AND EDIT IT." Said on stage at Davos. Not a hypothetical. Current practice inside Anthropic itself. His timeline. Six to twelve months until the model is doing most, maybe all, of what software engineers do end to end. The team building Claude has been shipping at a pace that makes that timeline feel less like a prediction and more like a countdown. Bookmark this. Read it today.