a space for men to speak the unspoken. Share your truth. Heal out loud. Also for fathers, sons, daughters and the silence we break together. #itsdad
XY Chromosome
Joined June 2025
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Agent.self learns how agent should orient and regulate cognition; Astra supplies the cognition; Jev supplies bounded common-sense judgment; memory/evidence keeps all of them grounded.
MLoPs allows training from otel and your own internal sessions to understand SOE based on model
itsdad retweeted
We've shipped a lot of features to Devin and Devin Desktop, let's dive in to 20 things you might not know Devin can do.
Starting with Local Hands: Devin Cloud can run commands on your machine.
itsdad retweeted
holy f*ck, NO HUMAN WEB DESIGNER WANTS TO COMPETE WITH THIS IN 2027.
you’re watching AI agents build websites at a speed most humans can’t match.
and the scary part? these tools are available to almost anyone.
7 GitHub repos you NEED to learn before your clients find someone who already has:
1. Bolt.diy - BUILD ENTIRE WEBSITES WITH AI
generate, edit and run full-stack web apps with AI.
github.com/stackblitz-labs/b…
2. shadcn/ui - PROFESSIONAL UI IN MINUTES
beautiful, customizable components for modern websites.
github.com/shadcn-ui/ui
3. Magic MCP - YOUR AI FRONTEND DESIGNER
generate polished React components directly from your AI coding workflow.
github.com/21st-dev/magic-mc…
4. Playwright MCP - AI THAT TESTS ITS OWN WORK
let AI agents open websites, click buttons and catch UI bugs.
github.com/microsoft/playwri…
5. Chrome DevTools MCP - FIX BROKEN WEBSITES FASTER
give AI access to browser debugging, performance and network diagnostics.
github.com/ChromeDevTools/ch…
6. Vercel Agent Skills - MAKE AI CODE PRODUCTION-READY
React optimization, frontend best practices and web design reviews.
github.com/vercel-labs/agent…
7. Webstudio - BUILD VISUALLY, KEEP CONTROL
an open-source visual website builder with reusable components and styling.
github.com/webstudio-is/webs…
the real threat isn’t AI replacing every designer.
it’s ONE person using AI to deliver what used to take an entire team.
2027 is getting closer.
learn these tools before your competitors do.
LIKE + BOOKMARK + REPOST this so your designer friends see it.
and be honest in the comments:
do you know anyone who’s already LOST THEIR JOB because of AI?
itsdad retweeted
This is f*cking insane. Anthropic engineer:
"You're not supposed to prompt Opus 5.5. You're supposed to build the system that prompts it for you"
In 33 minutes, she shows how Anthropic builds agents that remember, catch their own mistakes and get sharper every run
One Prompt → Harness → Memory → Self-Check Loop → An Agent That Improves Itself
Everyone is still polishing prompts. The people who build the model stopped doing that a year ago
Worth more than any $2,000 agent course
Bookmark and watch it today
Then read the motion engineering breakdown: "Your AI video is not bad. Your checks are." ↓
itsdad retweeted
HOLY F*CK, IF YOU’RE A WEB DESIGNER IN 2026, THIS MIGHT BE YOUR LAST CHANCE TO STAY RELEVANT IN 2027.
AI is making 3D design accessible to people who couldn’t even model a cube a year ago.
save these 7 GitHub repos for your LLM before your competitors do:
1. Three.js - THE 3D ENGINE
build interactive 3D websites, realistic materials, lighting and animations.
github.com/mrdoob/three.js
2. React Three Fiber - 3D WITH REACT
turn complex 3D scenes into interactive websites and dashboards.
github.com/pmndrs/react-thre…
3. Blender MCP - LET CLAUDE CONTROL BLENDER
create 3D models, edit scenes, apply materials and render with AI.
github.com/ahujasid/mcp-for-…
4. Drei - MAKE REALISTIC 3D EASIER
ready-made cameras, environments, reflections, glass materials and controls.
github.com/pmndrs/drei
5. React Postprocessing - CINEMATIC VISUALS
add bloom, depth of field and professional visual effects to 3D scenes.
github.com/pmndrs/react-post…
6. React Three Rapier - REALISTIC PHYSICS
make 3D objects collide, fall, bounce and interact with real-time physics.
github.com/pmndrs/react-thre…
7. Theatre.js - ANIMATE LIKE A PRO
create cinematic camera movements, keyframe animations and complex 3D sequences.
github.com/theatre-js/theatr…
the scary part?
your next competitor might be ONE person with Claude Code and these free tools. (like me lol)
the glass spider you’re watching?
built with code-based 3D tools, no traditional animation pipeline needed.
want to create something like this?
like + save this post.
comment “WEB” and I’ll share the prompt.
itsdad retweeted
Introducing Aspen: an open-source Git server built for agents.
One 8-core server sustains 567 pushes a second to a single repository, each push stored before git prints "ok". Stock git, nothing to install on the client.
itsdad retweeted
It's Witch Time ⌛
The Stellar Blade - Bayonetta Collaboration content is available today.
itsdad retweeted
This is f*cking insane. Anthropic engineers dropped a 90-minute course on building AI agents from zero. Easily the best I've watched:
• 00:01 - splitting the brain from the hands
• 07:46 - what's inside Claude Managed Agents
• 23:41 - a research agent, built step by step
• 54:02 - scheduled agents that "dream" between tasks
• 1:10:22 - evals, CI/CD, and running agents for lots of customers at once
One video, and you won't need any $500 agent tutorial again.
Watch it today.
itsdad retweeted
This is f*cking insane. Anthropic engineer:
"You're not supposed to prompt Opus 5.5.
You're supposed to build a system that prompts itself. At Anthropic, 90% of our engineers have already built these systems."
In just 30 minutes, she explains how Anthropic builds AI agents that remember context, learn from mistakes, fix their own errors, and improve with every run.
This is the shift from simply using AI to engineering systems that work autonomously.
Honestly, it's better than most $1,000–$2,000 agent courses I've seen.
Watch the video, then read the article below. ↓
itsdad retweeted
Tencent just released the TailorRig dataset on Hugging Face
39,073 rigged humanoid characters with skeletons and skinning weights - perfect for training auto-rigging and garment-aware skinning.
itsdad retweeted
Oh damnnnn how did I ever forget 😂 Yoo some shit really finna go down. Ha man we have ALOT to look forward too I tell ya that……….
itsdad retweeted
Your agents should sleep on it.
Agents get should get smarter over night as they learn from all their previous runs!
Build your own dreaming service with dynamic workflows in Claude Managed Agents.
platform.claude.com/cookbook…
love to hear what you think!
itsdad retweeted
VIETNAMESE family conversation : Correcting racism about Black Americans (United States).
itsdad retweeted
How we can secure 50% of the world's software.
Traditionally, formal methods have been mostly used for safety-critical systems like operating systems, hypervisors, and databases. We're extending this to formally and empirically verify code correctness and security for full-stack web apps, one of the most common types of applications*, using the Proof-Driven Development Kit (PDD Kit).
Coding agents now write code faster than anyone can review effectively. PDD Kit turns what the developer meant into a Verus specification. It then proves the AI-generated code meets that spec for every input.
Researchers @alexlavaee, @MatthaiP39719, @Mappletons, and @k_cieslak break down Proof-Driven Development x Chopin in the blog here: githubnext.com/projects/pdd-…
*44.4% of respondents work as full-stack (27.3%), back-end (13.5%), or front-end (3.6%) developers. Stack Overflow Developer Survey 2026, n = 25,767.
itsdad retweeted
Bring your 3D anime character ideas to life with free tools like Blender and Unity!🎮
Follow 3D Artist 2AM's end-to-end workflow and learn how each stage of character creation connects, from your first model to game engine implementation.
itsdad retweeted
Rust Powered Postgres Just Crossed 5,000+ Branches in Production! 🚀🐘
Optimized for speed, memory efficiency, and massive scale.
Why PGX hits different:
⚡ ~6ms warm databases
🪶 ~70KB idle per DB
🐘 1,000 DBs, one runtime
🌱 Copy-on-write branching
🤖 Isolated agents + auto-cleanup
try: npx pgxdb@latest
Postgres for AI agents → pgx.dev
teapawt.net/alxshp/status/21158542…
Postgres was built to run for years.
But AI agents need databases for 2 minutes!
🚀 Create → Migrate → Test → Destroy 💥
Now multiply that by 1,000 agents running in parallel.
You don't need 1,000 Postgres servers.
You need PGX. 🐘
One runtime. Thousands of isolated databases. Create them in milliseconds. Throw them away when done.
teapawt.net/alxshp/status/21125799…
itsdad retweeted
Introducing Agile Deliberation, a framework that turns vision-language models into collaborative partners for defining gray-area categories — from content moderation to curating art — while reducing user fatigue & improving classifier accuracy. Read more: goo.gle/4BHNAmr
itsdad retweeted
NVIDIA Open-Sources Auto Ontology, a Semantic Layer for AI Agents
Your boss asks the AI agent: "What was revenue last quarter?"
It answers in 3 seconds. Clean number. Nice chart.
But it used the wrong "revenue" column. 𝗡𝗼𝗯𝗼𝗱𝘆 𝗻𝗼𝘁𝗶𝗰𝗲𝘀.
That's the problem NVIDIA's new open-source library, Auto Ontology, goes after. Its README puts it plainly:
"…𝘢 𝘳𝘦𝘷𝘦𝘯𝘶𝘦 𝘮𝘦𝘵𝘳𝘪𝘤 𝘢𝘯𝘴𝘸𝘦𝘳𝘦𝘥 𝘧𝘢𝘴𝘵𝘦𝘳 𝘪𝘴 𝘸𝘰𝘳𝘵𝘩 𝘯𝘰𝘵𝘩𝘪𝘯𝘨 𝘪𝘧 𝘵𝘩𝘦 𝘯𝘶𝘮𝘣𝘦𝘳 𝘪𝘴 𝘸𝘳𝘰𝘯𝘨."
𝗪𝗵𝗮𝘁 𝗶𝘁 𝗶𝘀:
A "context layer" that sits between an AI agent and your database. It tells the agent where the data lives, what each field means, and whether to use it.
𝗛𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀, 𝘀𝘁𝗲𝗽 𝗯𝘆 𝘀𝘁𝗲𝗽:
• 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿: it reads your database metadata and drafts an ontology, a map of business terms like "active customer"
• 𝗚𝗿𝗼𝘂𝗻𝗱: agents use those terms instead of guessing from raw table names
• 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗲: it checks generated SQL against certified definitions
• 𝗘𝘅𝗽𝗼𝘀𝗲: agents reach it through MCP, a CLI or an API
• 𝗟𝗲𝗮𝗿𝗻: certified corrections go back into the map
𝗙𝗼𝗿 𝘂𝘀𝗲𝗿𝘀:
Ask a question, get 𝘁𝗵𝗲 𝗮𝗻𝘀𝘄𝗲𝗿, 𝘁𝗵𝗲 𝗦𝗤𝗟 𝗶𝘁 𝗿𝗮𝗻, 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗿𝗼𝘄𝘀. You can check the work, not just trust it.
𝗙𝗼𝗿 𝗯𝘂𝗶𝗹𝗱𝗲𝗿𝘀:
• Apache 2.0, runs with Docker Compose or Helm
• Works with Databricks, Postgres, Snowflake and DuckDB
• Defaults to NVIDIA's Nemotron models, but 𝗮𝗻𝘆 𝗢𝗽𝗲𝗻𝗔𝗜-𝗰𝗼𝗺𝗽𝗮𝘁𝗶𝗯𝗹𝗲 𝗲𝗻𝗱𝗽𝗼𝗶𝗻𝘁 𝘄𝗼𝗿𝗸𝘀
• The MCP server has 𝟵 𝗿𝗲𝗮𝗱-𝗼𝗻𝗹𝘆 𝘁𝗼𝗼𝗹𝘀. There is deliberately no tool to browse raw tables, so agents must go through the business terms
𝗜𝘁 𝗯𝘂𝗶𝗹𝗱𝘀 𝗼𝗻 𝗲𝗮𝗿𝗹𝗶𝗲𝗿 𝘄𝗼𝗿𝗸:
• Cube and dbt MetricFlow: semantic layers you write by hand in code
• Wren AI: an open semantic layer for AI agents, with a context layer built partly by agents
• Snowflake's Semantic View Autopilot: also drafts semantic models with AI, but only for Snowflake
What's different here: 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲, 𝘄𝗼𝗿𝗸𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝗳𝗼𝘂𝗿 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀, 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝘁 𝗳𝗼𝗿 𝗮𝗴𝗲𝗻𝘁𝘀 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗠𝗖𝗣.
𝗧𝗵𝗲 𝗵𝗼𝗻𝗲𝘀𝘁 𝗽𝗮𝗿𝘁:
• 𝗧𝗵𝗲 "𝟵𝟬% 𝗳𝗮𝘀𝘁𝗲𝗿" 𝗰𝗹𝗮𝗶𝗺 𝗶𝘀 𝗡𝗩𝗜𝗗𝗜𝗔'𝘀 𝗼𝘄𝗻 𝘁𝗲𝘀𝘁𝗶𝗻𝗴, with no baseline published
• 𝗡𝗼 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆 𝘀𝗰𝗼𝗿𝗲𝘀 𝗮𝗿𝗲 𝗽𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱. NVIDIA ships an eval harness (BIRD, 1,534 questions) but no results
• That harness was tested with 𝗖𝗹𝗮𝘂𝗱𝗲 𝗢𝗽𝘂𝘀 𝟰.𝟴, 𝗻𝗼𝘁 𝗡𝗲𝗺𝗼𝘁𝗿𝗼𝗻
• 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗛𝗮𝘀𝗵𝗶𝗖𝗼𝗿𝗽 𝗩𝗮𝘂𝗹𝘁, 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗽𝗮𝘀𝘀𝘄𝗼𝗿𝗱𝘀 𝗮𝗿𝗲 𝘀𝘁𝗼𝗿𝗲𝗱 𝘂𝗻𝗲𝗻𝗰𝗿𝘆𝗽𝘁𝗲𝗱 in Postgres (per the README)
• It's young: 𝗮𝗯𝗼𝘂𝘁 𝟳𝟱𝟬 𝗚𝗶𝘁𝗛𝘂𝗯 𝘀𝘁𝗮𝗿𝘀, and NVIDIA isn't accepting outside contributions
𝗧𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝗿 𝗽𝗼𝗶𝗻𝘁: the hard part of AI analytics isn't writing SQL. 𝗜𝘁'𝘀 𝗮𝗴𝗿𝗲𝗲𝗶𝗻𝗴 𝗼𝗻 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲 𝘄𝗼𝗿𝗱𝘀 𝗺𝗲𝗮𝗻.
GitHub: github.com/NVIDIA/auto-ontol…
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