Jumping on the 'vibe code a game from scratch' bandwagon. Buggy Basher, everyones favorite driving range game 😂
It's taken less than hour to get to this stage, all built in @cursor_ai. Its gonna be fun improving it more.
Fable 5 is state-of-the-art on nearly all tested benchmarks, with exceptional performance in software engineering, knowledge work, scientific research, and vision.
The longer and more complex the task, the larger Fable 5’s lead over our other models.
parents: "move out"
girlfriend: “quit being such a loser”
boss: "work harder"
claude: "uber for dogs (the dogs are the drivers) is a great idea, you should absolutely pursue it"
this is just the most ridiculous AI application i've ever seen lol
a Peter Thiel-backed startup that makes AI collars for cows is now worth $2 billion
and the more I read about it the cooler it gets. here's how it works:
every cow wears a solar-powered collar that talks to a network of radio towers and an app on the farmer's phone
instead of building physical fences, the farmer draws the fence on a map in the app, and the collar keeps each cow inside that invisible line using GPS
when a cow drifts toward the edge, the collar plays a sound to steer her, and a gentle vibration tells her which way to go.
it's like how a car beeps as you back up toward a wall
the cows learn the cues in a few days
so now a rancher can move an entire herd to fresh grass by sliding the fence on a map, without driving out to open a single gate
and that same collar is reading each cow's body the whole time.
it takes five readings per second on every animal, so the AI can catch a cow that's sick, injured, ready to breed, or about to give birth before a person would ever notice walking the field
so it's basically like WHOOP for cows too lol
and they gave the AI behind it the perfect name: the Cowgorithm
it's been trained on more than 7 billion hours of real cow behavior, which is why Halter calls the data its real asset and moat.
they know what a normal cow looks like better than anyone, so they can flag the odd one out instantly
it's already on more than 1M cattle across New Zealand, Australia, and a bunch of US states.
California even used it on public land to graze cattle in patterns that clear dry brush and slow down wildfires
costs about $5 to $8 per cow per month
a job that used to mean barbed wire, gates, and driving the fields all day is now mostly 1 person on their phone
right monitor is 20 codex instances. left monitor has situational awareness on autoscroll. center monitor is my word doc mainfesto. two keyboards, one for both hands. left airpod is dwarkesh x eric jang, 3x speed. right airpod tchaikovsky. meta quest 3 overlays my HUD: heart rate, words per minute, blood caffeine content. one assistant hooks me to an iv of chinese peptides, cocktail. the other feeds me kimchi. my unitree robot steps in when my posture slouches. blue light beams down on me in my herman miller chair. efficiency. no wasted movement. no wasted thoughts. think you can keep up with me? good luck. this is just for my morning emails.
From "System of Record" to "System of Intelligence"
In the next decade, you want to own the system of intelligence that pulls from the system of record, becomes the user’s one-stop shop for gaining context and taking action, and turns the SoR into something that’s primarily consumed at the API layer.
The reasoning layer that sits above the database is where a new generation of companies is being built, and it’s where the majority of the next decade’s enterprise value of GTM software will end up.
Full piece from a16z's Gio Ahern, Steph Zhang, and Alex Immerman: https://t.co/2udG6l6SSx
Adidas lanzó un corto de 5 minutos protagonizado por Timothée Chalamet donde recluta a Bellingham, Yamal y Trinity Rodman para vencer a un equipo de fútbol callejero y efectivamente es cine.
Messi, Zidane, Beckham, Del Piero, Bad Bunny… denle el Oscar.
We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity.
This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.
This is the greatest interview in the history of television.
This man, Ryan Cohen, is worth an estimated $5.1 billion dollars.
He’s the founder of Chewy, the e-commerce pet food brand, and current CEO of GameStop.
You can just do things, guys!
The way I operate my agency wouldn’t have been possible 1 year ago.
But we predicted this...
And made a big bet on AI-Native Services.
Claude Code is now our most used interface.
We uniquely blend software and human expertise.
We call it “AI-Native Services”.
Here’s how it works operationally:
1️⃣ Company OS in git
Our entire company dataset lives in one GitHub repo called Company OS.
What's inside:
• company/ - team, voice guide, design system, industry intel
• wiki/ - SOPs, playbooks, campaign guides
• clients/ - per-client context files
• raw/ - client calls, market research, competitor data
• plugin/ - 26 agents, 23 commands, hooks
• skills/ - 79 Claude skills
Data is constantly flowing in to keep it up-to-date.
2️⃣ Client repos
Every client gets their own private repo.
Same engineering pattern as the Company OS, just personalized to their account.
What's inside:
• Their ICP, voice guide, brand assets
• Historical campaigns and what worked
• Onboarding form data and deep research
• Slack threads, call transcripts, GDrive changes
• API/MCP connections to their revenue stack
Result: every team member has full client + company in every session.
3️⃣ Human interaction layer
We still log into some SaaS UIs, but Claude is slowly taking over.
Across 20 team members, the efficiency gain has been massive.
We try to automate as much of the admin as possible:
• Client onboarding
• Content research and ideation
• Skill tuning from team feedback
• Reply triage + sentiment routing
• Campaign launch pre-flight checks
So AI does the legwork, but humans ship.
So we can spend more time on strategy + creative GTM.
4️⃣ MCP + CLI engine
MCPs + CLIs let Claude act across our stack vs. just advise.
Some of our favorite MCPs/CLIs:
• GitHub - Company OS + client repos
• Findymail - email verification waterfall
• Google Workspace - client docs
• Airtable - automation backend
• InstantlyAI - email campaigns
• Slack - team + client comms
• Apolloio - list + enrichment
• Notion - internal wiki + PJM
• HeyReach - DM sequences
Plus HubSpot, Browserbase, Supabase, Vercel, Figma, Stripe, Pinecone, Clay, Apify, Firecrawl, and more.
We're also migrating a ton of workflows to custom code.
5️⃣ Operationalize
As an AI-native services company, we're constantly optimizing how we work with AI and software.
Built into the system:
• Guardrails: safety hooks gate 94+ risky operations.
• PR-based governance: anyone on the team can propose a new skill, agent, or tweak as a branch.
• Workflows-engineering plugin: 26 agents, 79 skills, 23 commands auto-propagated. Agent swarms split tasks into 5-20 sub-agents.
• Self-improvement loop: n8n syncs tech stack data back into the Company OS. Pinecone stores past content + performance metrics for skills to query. Human corrections feed back in.
There isn't ever going to be a finish line, so we're building like it's a marathon.