Always read, watch, and listen yourself. Go directly to the source. Don’t rely on snippets, summaries, or secondhand interpretations as those are often misleading, taken out of context, or intentionally twisted to drive engagement. Stop outsourcing your thinking.

Sharing my team’s System Acceptance Review submission video for the 2025 University Rover Challenge. I’m responsible for autonomous navigation (described @ 2:24) youtu.be/oqbMxJILiMw?si…

A relatively unknown startup product is landing on the moon 🤯

This is incredible! 😍

In 2010, Aaron Swartz downloaded 70GBs of articles from JSTOR. He faced $1 million fine and 35 years in jail. He took his life in 2013. Meta illegaly downloaded 80+ terabytes of books from LibGen, Anna's Archive, and Z-library to train their AI models without any punishment.

Perfect example of some of the risks of vibe coding. Made a whole game vibe coding with LLMs, but didn’t include basic input sanitation and validation. CS fundamentals are still important. Verify and review your vibe code

A simple but powerful machine of beauty😍 The Jetson AGX Orin ⁦NVIDIA Robotics⁩

Summarizing: Imagine the scenario where AI “takes off” as optimists and e/acc’s intend. Imagine in this scenario that “X” is a goal you desire to achieve or a thing you want to attain. You may now be thinking you want to use AI to achieve/attain “X”, and with near-term

Refreshing the senses to cure tech brain fatigue

Claude’s own team released a super interesting video about building AI agents. Great lessons in there. Adding my favourite points from the vid.

It's 2025 and most content is still written for humans instead of LLMs. 99.9% of attention is about to be LLM attention, not human attention. E.g. 99% of libraries still have docs that basically render to some pretty .html static pages assuming a human will click through them.

Excited to announce GR00T N1, the world’s first open foundation model for humanoid robots! We are on a mission to democratize Physical AI. The power of general robot brain, in the palm of your hand - with only 2B parameters, N1 learns from the most diverse physical action dataset

Is this suspicious? 🤔

Physical AI announced knowledge insulation, a way to train vision-language action models 7.5x faster with diffusion output This enables the model to inherit better language following from the VLM, leading to better results

So basically a voice-to-video model executed remotely from a Raspberry Pi. Can someone explain to me what I am missing? The engagement bait on the AI/Startup side of X is rampant and out of control. I'm seeing these posts by the dozen. Pure engagement bait, pure cringe

Kimi K2 still underrated outside of the Twitterverse.

If you proclaim yourself a sceptic or a science educator, you can’t pick & choose which dogmas you denounce & ridicule and which ones you defend under the umbrella of kindness.

“People with a psychological need to believe in marvels are no more prejudiced and gullible than people with a psychological need not to believe in marvels." - Charles Fort

every programmer must listen to this 👏🏼

The most interesting fact about this globalized chain is the number of irreplaceable single points of failure. There's only one company that can make these chips at scale. It runs on equipment that only one company can make. Out of parts that only one company can make.