DigitalDawn

I wanted a game that lives with you. It’s a tiny ecosystem in glass that stays on your screen while you do other things. No stress, just cozy vibes.

Ex-Google CEO's BANNED Interview LEAKED: "You Have No Idea What's Coming" Ex-Google CEO Eric Schmidt recently made headlines with some controversial comments about AI during an interview conduced at Stanford University. This interview was taken down at his request after he admitted to misspeaking. But did Eric Schmidt actually let on to something big coming in terms of the future of AI?

Yeah

Karpathy didn't make a course. He made THE course. 3 hours. Free. Tokenization. Attention. Hallucinations. Tool use. RLHF. DeepSeek. AlphaGo. Every behavior you've ever wondered about in an LLM - where it comes from, why it exists, how it was engineered. The gap between engineers who understand this and engineers who don't isn't technical depth. It's the ability to conceive of entirely different things.

After this interview, Jane Street hired this Quant analyst at $220,000–$600,000/year In 21 minutes, you’ll learn what a Tier 1 hedge fund interview is like Here are some of the questions they ask: 1. You have $100, fair coin. Heads - you get 2x your bet back, tails - you lose it. 100 flips. What's the optimal bet size? 2. So what exact percentage should you bet? 3. Will you bet the same amount all 100 times or adjust your strategy? 4. Prove mathematically that betting 100% of bankroll maximizes EV at any capital size 5. What if the starting bankroll is $150 - does anything change? 6. Calculate the expected return over 100 flips with the optimal strategy 7. You roll a fair die until you get 3-4-5 in a row. What's the probability you roll an odd number of times? Quant answered all these questions in the video __ Bookmark & watch it to find out how to get into a hedge fund

The person who runs 49 features. 48 hours. Zero lines written by hand. That's what Anthropic's Head of Claude Code just pulled off. He recorded the exact workflow. 30 minutes. Free. The developers who watch this will build differently. The ones who skip it will wonder why they're still slow. Bookmark it for later

GPT2 + Seedance 2.0 → Capoeira Sequence. Testing for more complex choreography. (Full workflow + prompts in thread) PROCESS: + GPT2: Choreography diagram + GPT2: Camera direction diagram + Midjourney: Setting base image + Seedance 2.0 Omni-Ref: Video gen Didn't follow 100%. Probably needs more than a 15s gen.

Andrej Karpathy just built GPT-2 from scratch on camera! Every line. Every component. Every optimization decision. Transformer blocks. Self-attention. MLP. Mixed precision. Flash Attention. AdamW. Distributed training across GPUs. 4 hours. Free. Not a lecture about how GPT-2 was built. The actual build. Running. Training. Evaluated against the original OpenAI checkpoints. The engineers who watch this do not just understand language models. They understand them at the level required to build the next one. The gap between using AI and being capable of building it is not a PhD program. It is 4 hours with the person who makes this look like something any determined engineer can do.

With Serus, you can scan +100 billions of dark web records and find exactly what information has been leaked about you. Passwords. IP-Addresses. Phone numbers. Emails. All of it. Takes seconds. Hits hard. Try it out, for free.

Andrej Karpathy (@karpathy), OpenAI co-founder, ex-Tesla AI, "vibe coding" creator. In just 4 mins, he explains why Claude Skills, MCP servers, and AI agents are past the hype and are now the new baseline for building. Worth every second ↓

Sam Altman: "if i were 22 right now, i'd feel like the luckiest kid in history." the reason? a one-person billion dollar company is finally possible. i just published the stack those founders are running. five jobs. one person. zero hires.

ANTHROPIC PAYS $750,000 A YEAR FOR ENGINEERS WHO UNDERSTAND WHY AI WORKS. STANFORD JUST PUT THE SAME KNOWLEDGE ON YOUTUBE FOR FREE. WATCH IT THIS WEEKEND. NOT EVENTUALLY. THIS WEEKEND.

Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins. For Free. From the engineers who built the stack. CANCEL Your Weekend Plans, and Learn to Build AI Agents Today. Bookmark it. Watch it. Build your first production agent this weekend. $5,000/month. $7,000/month. $12,000/month. People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase. This video fixes that tonight. Follow @codewithimanshu for more high-signal content that actually moves your AI engineering career forward. ↓ Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes. This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost. Here's everything inside. I break down a production AI video like this every week. Follow @codewithimanshu. ↓ The 4-part agent stack that actually scales. Most devs are duct-taping frameworks together and calling it an "AI agent." Ivan lays out the real stack: Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly. Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches. Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together. This is the stack replacing every hacky agent setup in production right now. Full MCP + Claude breakdowns drop weekly on @codewithimanshu. ↓ Building your first real agent. Ivan builds a birthday planner agent live. LLM Agent class. Name it. Define instructions. Pick the model. He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning. Full agent built in minutes. Not weeks. Watch the build once and you'll never structure an agent the wrong way again. I post agent architectures people pay $500 courses to learn. @codewithimanshu. ↓ Multi-agent systems without the chaos. Single agents are easy. Multi-agent systems are where 99% of builders fail. Ivan extends the birthday planner by: Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs This is production multi-agent architecture. Clean. Scalable. Debuggable. Most tutorials hand-wave this part. This one shows you every step. Multi-agent orchestration content drops weekly on @codewithimanshu. ↓ Deployment without the DevOps nightmare. This is where most AI projects die. You build a cool agent locally. It works. You try to deploy it. Everything breaks. Vertex AI Agent Engine fixes this: Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed You provide config and requirements. The platform handles the rest. This is how agents actually get to production. Deployment guides for Claude agents post every week. @codewithimanshu. ↓ Agent-to-Agent Protocol: the future nobody's talking about. Most people don't know this exists yet. The A2A Protocol lets agents built in different frameworks communicate seamlessly. Your Claude agent. My LangChain agent. Someone else's CrewAI agent. All talking to each other. All solving parts of the same problem. All without custom integration code. This is the infrastructure layer of the coming AI economy. Getting in early on A2A Protocol is like getting in early on HTTP in 1995. A2A deep dive coming soon. @codewithimanshu. ↓ 30 minutes from the team shipping this in production. You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost. People who watch this understand production AI agents at the architect level. People who skip it keep hacking together frameworks that break every time an API updates. Save the video. Watch it tonight. Build a real agent this weekend. Follow @codewithimanshu for more high-signal content that actually moves your AI engineering career forward.

🚨 INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 1 hour with this. Obsidian + Claude Code = 24/7 personal operating system. Works while you sleep. The people who build this tonight will never work the same way again. Watch it and Bookmark it now.

AI engineers at top labs earn $500K+ a year to build agentic AI systems. Stanford just dropped a 90 min lecture that covers the entire playbook. For FREE. Prompting. Chains. RAG. Multi-agent systems. All of it. Worth more than any "AI agent mastery" course. Bookmark it:

An Anthropic engineer paid for my espresso at Sightglass when he saw my screen I was running my Polymarket bot from the counter. He was next in line. Looked over my shoulder. Stopped scrolling. "That's not a normal trading app. What's it actually running on" I told him. Claude Code. Four repos. $25 a month. He sat down without asking. "I'm on the agent team. We stress test Claude for exactly this. You're letting it find its own edges" Not just edges. Wallets. github.com/warproxxx/poly… 86 million trades. Every wallet. Every entry. Every exit. "You're feeding Claude raw wallet data and letting it identify who consistently wins. Then cloning them" He said it slowly. Like he was writing the threat model in his head. One prompt. Find every wallet with 100 plus trades and win rate above 70%. Rank by profit. Export top 50. Claude scanned 14,000 wallets in 4 minutes. Returned 47. The top 20 made more than the bottom 13,000 combined. "That's not a stat. That's a hit list" Exactly. "And you didn't write the scoring function" Claude did. I just wired it into an if-statement. Then I showed him the second repo. github.com/Polymarket/pol… Official Rust CLI. No API key for reads. 500 markets, Claude scores them in minutes. Gap. Depth. Resolution window. 487 markets become 35 before a dollar moves. 93% killed before I even see them. A green fill landed on the screen. +$84. Copytrade wallet: @0x6e1d5040d0ac73709b0621f620d2a60b80d2d0f?tab=positions&r=lunarlunar#ecEDHKq" target="_blank" rel="nofollow noopener">polymarket.com/@0x6e1d5040d0a… He watched it hit. "How does it decide to actually enter" Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 agree, full size. 1 alone, half. Disagree, no trade. Consensus filter alone killed 40% of losing trades. "And the exits?" The 47 whales never hold to settlement. 91% exit early. 73% of max profit captured. Redeploy immediately. My bot cuts at 85% of expected move or on a 3x volume spike. "You built a whale copy bot that exits before the whales" Yeah. He put his espresso down. "How often does it trade" 10 a day on average. Most of them skipped before I look up from my coffee. My setup: Claude API - $20/mo VPS in Germany - $5/mo poly_data - free polymarket-cli - free Polymarket/agents - free $200 seed. 27 days ago. $14,300 now. Copytrade here: @lunar" target="_blank" rel="nofollow noopener">kreo.app/@lunar 271 trades. 74% win rate. Sharpe 2.47. I haven't touched it in 27 days. He stared at the screen for a long time. "This is literally what our red team simulates. Except you actually shipped it" He emailed me the next morning. "Any chance you'd take a call with our policy lead" I told him the article is the call. Read it twice. Too late to gatekeep.

The creator of Claude Code teaches more about vibe-coding in 30 minutes than most tutorials do in hours. Save this — it'll change how you build forever.

You’ve cloned a repo and spent 40 minutes trying to figure out what it actually does. There’s a faster way. Change github to deepwiki in any repo URL. DeepWiki generates the documentation it should have had all along.

This 2 hour video by Andrej Karpathy (co-founder of OpenAI) will teach you more about using LLMs than every AI tutorial you've watched this year combined. Bookmark & watch tonight, it will change the way you use AI forever.

Sheldon's room got occupied by someone else