Everyone’s using AI tools built on these papers.
Almost nobody’s read the papers.
Here’s what each one actually did:
1/ Attention Is All You Need (2017)
↳ Introduced the Transformer architecture
↳ Killed RNNs. Built the foundation for GPT, BERT, and everything after
↳ https://t.co/kpW9PvqGqs
2/ GPT-3: Language Models are Few-Shot Learners (2020)
↳ 175B parameters. Few-shot learning at scale
↳ The moment the world realized language models could generalize
↳ https://t.co/vcLhVAs7Tm
3/ AlphaFold 2 (2021)
↳ Solved the 50-year protein-folding problem
↳ Compressed decades of biology research into months
↳ https://t.co/96NGgGU8P0
4/ Learning to Summarize with Human Feedback (RLHF) (2020)
↳ Showed how to align models with human feedback
↳ The paper behind ChatGPT’s behavior
↳ https://t.co/QRxv1jc8oJ
5/ CLIP (2021)
↳ Connected images and text in one model
↳ Foundation for DALL·E, Stable Diffusion, and multimodal AI
↳ https://t.co/wv7LvivqTw
6/ Denoising Diffusion Probabilistic Models (2020)
↳ The math behind every AI image generator you’ve used
↳ Diffusion models went from obscure to dominant in ~2 years
↳ https://t.co/x11nhH0JRF
7/ LLaMA (2023)
↳ Meta’s model that democratized LLM research
↳ Sparked the open-source AI movement overnight
↳ https://t.co/FqSfuGCzJN
8/ Scaling Laws for Neural Language Models (2020)
↳ Showed bigger models + more data = predictably better performance
↳ The paper that justified $100M training runs
↳ https://t.co/ONxniA86q0
9/ BERT (2018)
↳ Bidirectional Transformers for language understanding
↳ Rewrote how Google Search works
↳ https://t.co/u7WkC9wtD0
Most of these weren't written by startups.
They came from Google, OpenAI, Meta, and DeepMind researchers
who published them for free.
The entire AI revolution is open literature.
You just have to read it.
Which paper had the biggest impact on you?
Drop it below 👇
Sometimes life hits the hardest when someone is finally trying their best to move forward.
My friend @6116Hayat comes from a simple family and has been working day and night to build a better future through tech and studies. While others sleep, he spends nights learning, practicing, and trying to create opportunities for himself. His laptop wasn’t just a device — it was his classroom, his workplace, and his only hope to grow in his career.
A few days ago, his laptop screen suddenly broke completely. Since then, everything has stopped. No classes, no coding practice, no projects, no interviews. Watching someone work so hard for their dreams and then lose the only tool helping them chase those dreams is honestly heartbreaking.
He never asks anyone for help, and even now he’s trying to manage silently, but the truth is he cannot afford a new laptop or screen repair on his own right now. That’s why we are coming together to support him.
Even the smallest contribution can help him get back on track and continue fighting for the future he deserves. And if you’re unable to donate, please share this post — sometimes one share can reach the right person.
Let’s help a hardworking friend not give up on his dreams ❤️
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Today's learning:
• Monolith vs Microservices
• SSO — one login, multiple apps
• JWT — create, verify, share
• Public & Private keys
• OIDC — Google as auth provider
SAMP
OAuth 2.0 = what you can do
OIDC = who you are
@piyushgarg_dev@Hiteshdotcom#JWT#OIDC#Chaicode
Just finished a SQL deep-dive in the @ChaiCode cohort 🚀
Covered:
→ JOINs (INNER, LEFT, RIGHT,FULL)
→ Foreign Keys & Constraints
→ Indexing for fast queries
→ Transactions & ACID properties
mentions: @Hiteshdotcom@piyushgarg_dev@devwithjay@nirudhuuu#SQL@ChaiCodeHQ