BREAKING: OpenAI has proposed giving the Trump Administration a 5% stake in the company to "clear political obstacles," per FT.
Details include:
1. Sam Altman has argued that giving the public a financial stake in the company is the best way to share the upside of AI
2. OpenAI is reportedly in "early talks" for a public ownership deal as political pressure rises
3. The proposed arrangement would involve other US AI companies handing over a similar stake
4. Sam Altman is reportedly in active talks with the Trump Administration about the situation
The Trump Administration may soon have equity in US AI giants.
🚨 BREAKING: AMAZON HIRES 11,000 PEOPLE, BECAUSE AI IS TOO EXPENSIVE
Company that fired 30,000 people by the end of 2025,
is now hiring 11,000 people.
Companies starting to realize API costs sometimes are more expensive than a human doing a simple job.
AI stocks are dumping
SITUATION UPDATE: The Trump administration is close to allowing Anthropic to restore access to Fable 5, which has been offline for 15 days, per Axios. Insiders expect the block to lift as soon as this week.
Corporate greed is Tim Cook, the billionaire Apple CEO, claiming that hiking prices on Apple products by over $200 is "unavoidable" after it made $112 billion in profits last year & spent $310 billion on stock buybacks.
These price hikes aren't unavoidable. They're unacceptable.
The Nobel-prize-winning Belgian theoretical physicist François Englert, whose work led to the discovery of the Higgs boson, died on 18 June at the age of 93.
Train your own LLM from scratch.
This repo builds a GPT-style transformer from the ground up, without using any high-level libraries.
You see exactly how attention, multi-head attention, the feed-forward block, embeddings, residuals, and layer norm fit together.
And it doesn't stop at the model. It walks the whole path from raw data to generated text.
↳ Data download, preprocessing, training, and generation
↳ Training data from The Pile (825GB across 22 sources)
↳ Tokenized with tiktoken (r50k_base) and stored in HDF5
↳ Training loop with eval, LR decay, and crash-safe checkpoints
↳ An SFT and RLHF guide for what comes after pretraining
The same code scales by changing a few config values. Around 13M parameters is where the output starts producing correct grammar and spelling, and you can train that in about a day on a free Colab or Kaggle T4.
If you've ever wanted to actually see how a transformer works instead of importing one, this is a clean place to start.
Link to the repo in the comments.
Interested in ML/AI Engineering? Check my FREE AI engineering Guidebook with 380+ pages (downloaded over 80k times, link below)
Researchers at ETH Zurich have developed ANYmal, a quadruped robot that can play badminton with humans.
The robot tracks the shuttlecock, predicts its path, and moves into position to return shots.
Its control system coordinates vision, movement, and racket swings to play the game effectively.