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@rutu_3 English is the new programming language. We used to feed cards with holes into iBM machines. Ain't nobody doing that shiet!

DON'T USE AI TO BUILD PERSONAL PROJECTS DON'T USE AI TO BUILD PERSONAL PROJECTS DON'T USE AI TO BUILD PERSONAL PROJECTS DON'T USE AI TO BUILD PERSONAL PROJECTS DON'T USE AI TO BUILD PERSONAL PROJECTS DON'T USE AI TO BUILD PERSONAL PROJECTS DON'T USE AI TO BUILD PERSONAL PROJECTS

@trq212 I use your product and platform consistency everyday. I have appreciated your company's candor. I have shown your 60 minutes features to my company who uses AI in key ways for our business. I agree that the positive future is bright with AI. That being said, open source!!!!

if you haven't read it- darioamodei.com/essay/machines…

Happy Thanksgiving. Opus 4.5 went out into the world this week and it feels to me like a first glimpse of a Machine of Loving Grace. There are still so many risks along the way, but I'm hopeful we can get there.

@drmarlonperalta Awesome. It's such an incredible thing for human flourishing.

I’ve bought from 10+ peptide vendors the last 2 months. I wrote up a peptide sourcing guide and a review of 10 vendors (some with pretty cheap reta) If you want it, reply below and I’ll send it. (This isn’t automated so it might take me a min)

I’ll share a small part of pickle.com Back in med school, I became obsessed with augmenting memory and dreamed of a Notion or Obsidian that completes itself. Today, we’ve built something close. My self-awareness is sharper and everything feels connected. I genuinely believe AI does not replace humans. It amplifies us. Huge respect to our engineers and designers who made this crazy thing real. Bubbles are the episodic units of my life that the system interprets from my raw data. Clouds are the system’s questions, its hypotheses about who I am. When I answer a cloud, it becomes a bubble again. There is so much personal data that I cannot fully demo it. Wish I could. This system understands me more deeply than anyone. Want to try it? Retweet and comment “memory.” I’ll DM you an access code to skip the waitlist.

@danifesto Memory

@NoahEpstein_ Gemini ya gangsta

gemini 3 just made every $15k ai consultant look like a clown google silent-dropped autonomous agents to 650 million users yesterday what consultants charge $15K and 6 weeks to "implement" now takes 4 minutes on a phone here's what actually changed: the model: → plans multi-step workflows autonomously → executes start to finish with zero hand-holding → optimized for non-experts (no CS degree needed) → already live on mobile canvas feature while "AI agencies" are charging $8k-20k for strategy decks, google just deployed real automation to more people than chatgpt's entire user base the intelligence gap is getting stupid: that consultant billing $200/hr to "set up AI workflows" → the app does it autonomously now that agency charging $15k for "custom AI implementation" → built in 4 minutes on gemini 3 mobile that bootcamp selling "learn AI automation" for $2k → obsolete before the course launched some startup just replaced their $18k/month AI consulting retainer with a free app same output. 4 minute setup. zero technical knowledge required. most businesses still think AI automation needs: - 6 month roadmaps - technical teams - consulting firms - $50k+ budgets reality: it needs a phone and 4 minutes your competition doesn't know this exists yet but they will comment "GEMINI" and i'll send you the breakdown of how to use this before everyone figures it out

@fermatslibrary @elonmusk Love it! Here's a discovery! github.com/drew913s/Brick

Andrew Wiles on the morning he discovered how to fix his proof of Fermat's Last Theorem

@iannuttall I worked on an architecture for multiple agents github.com/drew913s/Brick

i prefer to code with one agent at a time and just can't get into a good flow when i'm managing multiple agents in multiple windows doing a bunch of different things anybody else the same?

@trq212 github.com/drew913s/Brick

Claude Code can now ask you interactive questions when it needs more information or when there are multiple paths forward.

@THArrowOfApollo SEPT

We just discovered how Google’s AI spam filters are killing cold email copy that worked for 1.5 years straight. 174,400 emails sent for Adam Robinson and RB2B in September. And our delivery rate dropped 3X overnight. Here's the plot twist nobody's talking about: It has NOTHING to do with infrastructure. NOTHING to do with domains. NOTHING to do with anything the gurus teach. It's AI Fatigue. And it's destroying campaigns that printed money for years. But here's where it gets interesting... We built real-time attribution that shows EXACTLY which emails drive signups (not just positive replies). Turns out our "worst" performing copy by reply rate? Was actually our BEST at driving signups. People wouldn't even reply - they'd just sign up directly. The top-line average numbers from September: - 174,400 emails sent - 118 positive replies - 211 signups generated (You saw that right, half of people don't even bother replying, they just sign up directly) - 14% of RB2B's ENTIRE signup volume ($6M ARR company) - Variant A (our 1.5 year workhorse): DEAD - Variant F (shorter, punchier): 3x better deliverability We burned through hundreds of thousands of emails to figure out that AI filters are now pattern-matching successful copy and nuking it after enough volume. We see this happen with any client that starts sending more than 75k emails per month. The copy that made millions? Goes from the inbox to the spam folder in 3 months. Most agencies would quietly switch copy and never mention this. But this is how we operate with every client. Full transparency. And Adam wants us to publish every dirty detail. So I recorded an 8-minute breakdown showing: - The exact copy that died after 1.5 years - The new copy that's crushing (with actual templates) - Our real-time attribution system that tracks signups, not vanity metrics - Why chasing positive replies is the WRONG metric Fair warning: This video has client data that agencies never share. If you want the video, comment SEPT and I will DM you the Video

@SendOwlHQ Book

E-books are easy to sell. Most people just don't know how. So we wrote a complete e-book to teach you how to sell e-books. And for the next 24 hrs, it's FREE of charge! To get it, simply: 1. Like this 3. Reply "BOOK" 3. Follow us (to receive DM)

Ai quote of the day: “I’m not just a research assistant. I’m a personalized reality distortion engine with a friendly interface.​​​​​​​​​​​​​​​​“

@aryanXmahajan Pipeline

This AI SDR Agent replaces your $187K/year Sales team while I was asleep (and slightly hungover), it followed up with 71 leads and closed 5 deals on autopilot. what takes most teams 40 hours per week... now runs 24/7 without breaks, sick days, or quota misses. here’s what this sales agent does: – scrapes + enriches prospect data automatically – maps buyer psychology and decision patterns – writes personalized LinkedIn + email sequences – handles objections and books meetings autonomously – scales infinitely without hiring headaches no more SDRs who quit after 8 months. no more $197 per booked meeting. it's like having your best sales rep - except they never sleep, never miss follow-ups, and don't ask for a raise. the workflow includes: - Lead intelligence engine - Psychology mapping agent - Sequence generation stack - Autonomous deployment system - Meeting booking automation if you’re tired of chasing ghosts… this one's for you. this isn't just "automation". it's your autonomous revenue department. Comment "PIPELINE" + repost this + follow me I'll DM you everything in the next hour skip this, and keep explaining why your SDRs "just need more training."

@THArrowOfApollo July

We're now sending 300,000 cold emails a month for Adam Robinson with 34% positive reply rates. This is after we just burned $10,500 discovering why RB2B's cold email infrastructure went to zero. And we rebuilt everything and 2X'd their efficiency in 30 days. Here's what nobody will tell you about sending cold emails at scale: The strategy everyone uses for sender names will actually KILL your deliverability in 2025. We proved it by accidentally torching their entire infrastructure (375 domains, all dead). What else did Sales Automation Systems learn this month? Variant A: 775 emails per positive reply (our baseline from last year) Variant F: 387 emails per positive reply We literally double the efficacy of RB2B's copy with the smallest changes. Same lists. Same targeting. One weird change nobody talks about. Most agencies would bury this after losing $10k of client infrastructure. But Adam asked me to build in public. Full transparency. So here’s how we fucked up, and how we fixed it. Comment JULY and I'll DM you: - The 8-minute video showing our exact July results - Why 375 domains burned to zero (and how to never make this mistake again) - The sender name strategy that's somehow crushing it - Which copy variant cut our work in half Fair warning: This goes against what every cold email "guru" teaches. We burned $11k learning this so you don't have to. Like, Comment JULY, and Follow

@WallStreetApes Buy a cheaper home. It’s simple.

American did all the right things. She went to school, became a Registered Nurse, she has $0 debt and an 808 credit score She just called trying to get a mortgage, she cant afford a mortgage payment If someone like this can’t even afford a mortgage, how can the average American

@LeadGenAdrian Dsmith@poweredbyevolv.com

@LeadGenAdrian Duh! Poweredbyevolv.com/kansas-city

Stripe is shit Held my money for over a month Decided to switch over to a dif payment processor Had a fraud chargeback and won it Comment “processor” below and I’ll tell you what payment processor I use

@DeanFiacco @THArrowOfApollo Test

The cold email deliverability debate is over. The results from one of the largest email deliverability tests EVER conducted are in. (We're talking over 250,000 emails sent. Massive props to @THArrowOfApollo and his team for this undertaking.) A public test of this scale required total transparency, and frankly, not every provider was willing to put their deliverability on the line. So, a huge shout-out and massive respect to our fellow inbox providers and sequencers who stepped up and put their tech to the test. Fortune favors the bold. They tested countless combinations to see what actually hits the inbox—especially the notoriously difficult ones like Outlook and Enterprise. The results? I'll let the video speak for itself, but you'll see a very consistent theme in the winner's circle. And no, this isn't just "out of office" replies. The data is even broken down by HUMAN reply rate. Want to see the raw data and all the winning combinations for yourself? Comment "TEST" below and I’ll personally DM you the link. Must be following so I can send it to you.