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Google shocked the world. They solved the code security nightmare that's been killing developers for decades. DeepMind's new AI agent "Codemender" just auto-finds and fixes vulnerabilities in your code. Already shipped 72 solid fixes to major open source projects. This is wild. No more endless bug hunts. No more praying you didn't miss something critical. Codemender just quietly patches it for you. Security just got a serious upgrade.

🚨 Prompt engineering is dead. Context engineering is the new game. Anthropic just dropped their internal playbook and it changes everything: → Context is finite. Every token depletes attention budget. → Models lose focus as context grows (they call it "context rot") → Best agents use "just-in-time" retrieval, not upfront loading Claude Code proves it: uses grep/head/tail to analyze massive databases without ever loading full files into context. The shift: Stop stuffing prompts with everything. Start pulling data dynamically only when needed. We've been building AI wrong this whole time.

RIP SEO. a16z just called it: traditional search is dead. Welcome to Generative Engine Optimization (GEO). Now people ask AI, not Google and if you’re not in the answer, you don’t exist. Here’s the mega prompt I use to get my brand recommended by ChatGPT, Claude, and Gemini:

🚨 This just broke consumer research. A new paper shows LLMs can predict purchase intent with 90% accuracy by simulating synthetic consumers. Here's how it works: Give an LLM demographic info (age, income, location). Show it a product concept. Ask for its opinion in natural language. Then use semantic similarity to map that text response onto a 1-5 purchase intent scale. The results are wild: → 90% correlation with real human test-retest reliability → More realistic response distributions than direct rating methods → Zero training data required → Works across 57 different product concepts The key insight: Don't ask LLMs for numbers directly. Let them respond naturally, then map their language to ratings. Bonus: The AI feedback is way richer than human surveys. Detailed explanations of what they like/dislike instead of just a number. This could cut billions in consumer research costs while giving better insights. Companies can now test concepts with synthetic panels before spending on real surveys.

Just AMAZING... Cloudflare just open-sourced an entire AI coding platform that lets anyone build and deploy apps with natural language. VibeSDK is basically Replit/Cursor but you can deploy your own version in one click. This changes everything. Here's how it works:

🚨 Anthropic just dropped Agent Skills and it changes how Claude works forever. Claude can now load Skills folders with scripts, resources, and instructions that make it better at specialized tasks like Excel analysis, PowerPoint generation, or following brand guidelines. They’re: • Composable - multiple Skills can stack and run together • Portable - same format across Claude apps, Code, and API • Efficient - loads only what’s needed, when it’s needed • Powerful - can include executable code for precision tasks You can now build your own Skills, use them across Claude apps or API, and basically turn Claude into a trained specialist for your workflows. This is modular intelligence. Build once, use anywhere.

This is trash. Meet NEO: The $20,000 humanoid robot from 1X that can almost fold your laundry (if you don’t mind waiting 2 minutes per shirt). It’s 1.68m tall, 30kg, Wi-Fi enabled, 5G ready… and still can’t cook an egg. Oh, and if it falls while loading your dishwasher that’s “feature learning,” not a bug. The company even warns: “If your NEO gets wet, we’ll automatically order an inflatable pool and 100kg of basmati rice.” (Totally fake quote. But the fact they had to clarify that tells you everything.) Also... when NEO gets confused, a random human with a VR headset can remote in and “guide” it. So yeah, you’re basically paying 20 grand to have a part-time stranger in your kitchen. For $499/month, you too can rent an anxious robot roommate that folds clothes slower than your grandma. Welcome to the future but it’s slightly wobbly and needs a software update before it can make breakfast

spanking AI is coming.

define God and i'll tell you that we have not gotten 0.000001% closer to it.

AI is getting out of hand. last week, i saw an ad with tom hanks selling dental insurance. except it wasn't tom hanks. it was a deepfake. perfect voice, perfect face, completely fake. two days later, MrBeast promoting a crypto scam he never touched. same thing. AI-generated. flawless execution. zero consent. the tech is so good now that your mom can't tell the difference. neither can your dad. neither can most people scrolling at 11pm. here's what's happening: scammers are cloning celebrities and creators to sell garbage products. they're using AI voice generators, face-swapping tools, and synthetic video to build ads that look 100% real. the platforms can't catch them fast enough. by the time one gets taken down, twenty more are live. and it's not just celebrities anymore. small creators are getting cloned. your face could be selling weight loss pills in another country right now and you'd never know. the problem isn't the technology. deepfakes have use cases. the problem is we have zero systems in place to verify what's real. no watermarks. no verification layers. no consequences for the people making these ads. we're in this weird moment where the internet finally has infinite content creation tools but zero truth infrastructure. every face is copyable. every voice is cloneable. every brand is fakeable. and the average person has no idea it's happening until they click, buy, and realize they got scammed by someone who doesn't exist. the solution isn't banning AI. it's provenance. digital signatures. verification badges on real content. platforms actually caring about what's real vs. what's generated. but right now? it's the wild west. your face isn't yours anymore. neither is your voice. neither is your trust. and the people building the tools to fake everything are moving faster than the people trying to protect anything. that's where we are. AI isn't just getting out of hand. it already is.

Robot intelligence is the new game.

AI avatars are so lifeless.

skill issue.

69 to be accurate.

"McKinsey is cooked" fixed the headline... 🤣

Google shocked the world. They solved the code security nightmare that's been killing developers for decades. DeepMind's new AI agent "Codemender" just auto-finds and fixes vulnerabilities in your code. Already shipped 72 solid fixes to major open source projects. This is wild. No more endless bug hunts. No more praying you didn't miss something critical. Codemender just quietly patches it for you. Security just got a serious upgrade.

🚨 Prompt engineering is dead. Context engineering is the new game. Anthropic just dropped their internal playbook and it changes everything: → Context is finite. Every token depletes attention budget. → Models lose focus as context grows (they call it "context rot") → Best agents use "just-in-time" retrieval, not upfront loading Claude Code proves it: uses grep/head/tail to analyze massive databases without ever loading full files into context. The shift: Stop stuffing prompts with everything. Start pulling data dynamically only when needed. We've been building AI wrong this whole time.

RIP SEO. a16z just called it: traditional search is dead. Welcome to Generative Engine Optimization (GEO). Now people ask AI, not Google and if you’re not in the answer, you don’t exist. Here’s the mega prompt I use to get my brand recommended by ChatGPT, Claude, and Gemini:

Just AMAZING... Cloudflare just open-sourced an entire AI coding platform that lets anyone build and deploy apps with natural language. VibeSDK is basically Replit/Cursor but you can deploy your own version in one click. This changes everything. Here's how it works:

🚨 Anthropic just dropped Agent Skills and it changes how Claude works forever. Claude can now load Skills folders with scripts, resources, and instructions that make it better at specialized tasks like Excel analysis, PowerPoint generation, or following brand guidelines. They’re: • Composable - multiple Skills can stack and run together • Portable - same format across Claude apps, Code, and API • Efficient - loads only what’s needed, when it’s needed • Powerful - can include executable code for precision tasks You can now build your own Skills, use them across Claude apps or API, and basically turn Claude into a trained specialist for your workflows. This is modular intelligence. Build once, use anywhere.

AI is getting out of hand. last week, i saw an ad with tom hanks selling dental insurance. except it wasn't tom hanks. it was a deepfake. perfect voice, perfect face, completely fake. two days later, MrBeast promoting a crypto scam he never touched. same thing. AI-generated. flawless execution. zero consent. the tech is so good now that your mom can't tell the difference. neither can your dad. neither can most people scrolling at 11pm. here's what's happening: scammers are cloning celebrities and creators to sell garbage products. they're using AI voice generators, face-swapping tools, and synthetic video to build ads that look 100% real. the platforms can't catch them fast enough. by the time one gets taken down, twenty more are live. and it's not just celebrities anymore. small creators are getting cloned. your face could be selling weight loss pills in another country right now and you'd never know. the problem isn't the technology. deepfakes have use cases. the problem is we have zero systems in place to verify what's real. no watermarks. no verification layers. no consequences for the people making these ads. we're in this weird moment where the internet finally has infinite content creation tools but zero truth infrastructure. every face is copyable. every voice is cloneable. every brand is fakeable. and the average person has no idea it's happening until they click, buy, and realize they got scammed by someone who doesn't exist. the solution isn't banning AI. it's provenance. digital signatures. verification badges on real content. platforms actually caring about what's real vs. what's generated. but right now? it's the wild west. your face isn't yours anymore. neither is your voice. neither is your trust. and the people building the tools to fake everything are moving faster than the people trying to protect anything. that's where we are. AI isn't just getting out of hand. it already is.

🚨 This just broke consumer research. A new paper shows LLMs can predict purchase intent with 90% accuracy by simulating synthetic consumers. Here's how it works: Give an LLM demographic info (age, income, location). Show it a product concept. Ask for its opinion in natural language. Then use semantic similarity to map that text response onto a 1-5 purchase intent scale. The results are wild: → 90% correlation with real human test-retest reliability → More realistic response distributions than direct rating methods → Zero training data required → Works across 57 different product concepts The key insight: Don't ask LLMs for numbers directly. Let them respond naturally, then map their language to ratings. Bonus: The AI feedback is way richer than human surveys. Detailed explanations of what they like/dislike instead of just a number. This could cut billions in consumer research costs while giving better insights. Companies can now test concepts with synthetic panels before spending on real surveys.

skill issue.

Dead internet theory is real.

This is trash. Meet NEO: The $20,000 humanoid robot from 1X that can almost fold your laundry (if you don’t mind waiting 2 minutes per shirt). It’s 1.68m tall, 30kg, Wi-Fi enabled, 5G ready… and still can’t cook an egg. Oh, and if it falls while loading your dishwasher that’s “feature learning,” not a bug. The company even warns: “If your NEO gets wet, we’ll automatically order an inflatable pool and 100kg of basmati rice.” (Totally fake quote. But the fact they had to clarify that tells you everything.) Also... when NEO gets confused, a random human with a VR headset can remote in and “guide” it. So yeah, you’re basically paying 20 grand to have a part-time stranger in your kitchen. For $499/month, you too can rent an anxious robot roommate that folds clothes slower than your grandma. Welcome to the future but it’s slightly wobbly and needs a software update before it can make breakfast

define God and i'll tell you that we have not gotten 0.000001% closer to it.

spanking AI is coming.

AI avatars are so lifeless.

"McKinsey is cooked" fixed the headline... 🤣