CHAD GEE

TECH ENTHUSIAST

[BijanBowen @bijanbowen]

Had Claude Fable 5 log network packets and display them as cars on a highway, different car types = different packet types

[Matthew Berman @MatthewBerman]

should I make a full tutorial on loops?

[CHAD GEE @GVXDapperDinos]

@Jouhatsu_ai Me please

[Jouhatsu | AI Influence Operator @Jouhatsu_ai]

Un ingénieur IA senior chez Microsoft vient de dévoiler comment les équipes de Microsoft créent des agents IA avec Anthropic.

34 minutes de workshop gratuit, directement par l’équipe Microsoft.

Regarde le workshop. Ajoute en signet 🔖

Opus 4.7 + plus de 1 400 outils MCP déjà prêts à l’emploi.

Tu connectes Claude à un agent → tu lui ajoutes des outils → tu déploies en production.

Plus utile que la majorité des formations de vibe-coding vendues 500 $.

[NO CONTEXT HUMANS @HumansNoContext]

How tf does it actually looks good

[Livsun @L1vsun]

the finance kids everyone envied in college made $120k at goldman

the quiet math kids nobody noticed made $650k at firms most people can't name

jane street. citadel. two sigma. d.e. shaw

they don't recruit from linkedin. they recruit from math olympiads and competitive programming leaderboards

the filter is 4 things: probability, coding, mental math, game theory

same problems recycled every year, same structure every round

the prep path is documented, free, and takes 8 months

a kid from a state school who grinds this for 8 months has beaten ivy leaguers who showed up unprepared - credential matters less than the pattern recognition

most people spend 3 years trying to break into banking for $120k

the people who looked one level up spent 8 months and landed 5x the salary

the information to do this has existed for years

Bookmark this and upgrade your brain

the gap isn't talent

it's that nobody told you where to look

[Jeff Bezos @JeffBezos]

Please do a quick read of this. It’s short, well written, and will remove a bit of wool from over your eyes.

[Brett Adcock @adcock_brett]

Watch a team of humanoid robots running a full 8-hr shift at human performance levels. This is fully autonomous running Helix-02 https://t.co/IdZR0T1F5I

[Dickie Bush 🚢 @dickiebush]

This is the best business book of all time btw

[Ronin @DeRonin_]

🚨 Karpathy just dropped a blueprint on how to clone your brain in 2026

most people read this and think "cool scifi, see you in 2040"

reality check.. every tool Karpathy describes is already online, you just have to connect the dots

By the end, you'll know how to:
- capture your mind into structured data
- fine-tune an LLM that thinks like you
- give it your face, voice, and personality
- ship it as an API anyone can talk to

So, let's discuss your roadmap step by step

Step 1: Data Dump

the biggest mistake most people make is trying to "write" their personality into a prompt

that's not cloning. that's cosplay

instead you should:
- record 20-40 hours of you talking (solo monologues + interviews)
- dump every tweet, dm, email, voice note, blog post you ever wrote
- journal for 2 weeks on HOW you make decisions, not just what you decide
- record yourself reacting to random content in real time

the goal isn't quantity.. it's capturing the reasoning patterns behind your words

——————

Step 2: Structure the Brain

raw data is useless. you need to turn it into training pairs

instead you should:
- transcribe everything with Whisper
- use Claude or GPT to extract Q/A pairs from your interviews
- label each response with context: mood, topic, audience
- separate "public voice" from "private voice" datasets

this is the part 99% of people will skip.. and this is exactly why their clone will sound generic

——————

Step 3: Fine-tune Your LLM

you don't need to train a model from scratch. you just need to bend an existing one toward you

instead you should:
- start with Llama 3.3 or Qwen 2.5 as the base
- run LoRA fine-tune on your Q/A dataset (Unsloth makes this free on Colab)
- test it against a held-out set of your real responses
- iterate until it hits 80%+ similarity on style and reasoning

if you can't afford the compute.. use OpenAI's fine-tuning API on gpt-4o-mini for under $50

——————

Step 4: Give It a Face and Voice

text-only clone is mid. the real unlock is multimodal

instead you should:
- clone your voice with ElevenLabs (3 min of audio is enough)
- build your avatar with HeyGen or Synthesia (30 min of video)
- connect the fine-tuned LLM output to voice → avatar pipeline
- add a lip-sync layer so it actually feels like you

——————

Step 5: Wrap It in an Agent

a clone that just replies to prompts is a toy. a clone with memory and tools is a product

instead you should:
- give it a vector DB of everything you've ever said
- add RAG so it can pull your real opinions on any topic
- plug in tools: email, calendar, twitter, stripe
- deploy behind an API endpoint your clients/audience can actually talk to

——————

Step 6: Ship It As a Startup

Karpathy literally gave you the pitch deck in one tweet

instead you should:
- niche down: don't clone everyone.. clone coaches, lawyers, therapists, creators
- charge $5-20k per upload, recurring for hosting
- offer tiers: text-only, voice, video, full agent
- first 10 clients will literally be people you already know

the market is creators who want to scale themselves and experts who want to outlive their own attention

this isn't a 2030 bet anymore.. every piece of this stack works today

@karpathy is right.. the lossy version of brain upload is shipping this year

the only question is whether you're the one building it.. or the one being cloned by someone else

save this so you don't lose it

gl

[shirish @shiri_shh]

bro was right.

Atlassian down 75%. HubSpot down 69%. Figma down 86%.

Almost all of them down 30–70% from their 52-week highs.

AI is literally eating software alive and repricing every company in real time.

SaaS is cooked fr 😭

[Up Workout @Upworkout]

Save this workout and try it later. This is a 13-drill core sequence inspired by Russian and Soviet gymnastics training methods, focused on building real core strength, control, and coordination.

[Rony @Ronycoder]

Instead of watching Netflix, watch this 1-hour Yale lecture by Professor Ben Polak.

It will change how you think about decisions in negotiations, business, and everyday life.

[Roan @RohOnChain]

This 2 hour Stanford lecture shows exactly how Stanford trains it's engineers to build AI systems. It's more practical than every Claude tutorial & prompting threads you've seen.

Bookmark & give it 2 hours, no matter what. It'll be the most productive thing you do this weekend.

[Microsoft Learn @MicrosoftLearn]

If you want to get Microsoft AI certified, start here:
• Level 1: Azure AI Fundamentals (AI-900)
• Level 2: Azure AI Engineer Associate (AI-102)
• Level 3: Azure Solutions Architect Expert (AZ-305) (not AI‑specific, but useful for architecting AI solutions)