These are the best gifts that a teacher cherishes.
Thanks to @0fx0000 and thousands of students who found value in the content.
Here is the course playlist - https://t.co/hUVtcTnxKf
The Learjet 60 that crashed in Palm Beach County today went from 35,000 ft to the ground in 76 seconds.
I rebuilt the last 3 minutes in 4D from ADS-B, ATC audio, a NEXRAD analysis and dashcam video, then ran the engineering. Here's what the data says, and what it doesn't. 🧵
Thanks to @GodrejAppliance for a perfect product. Bye Bye to 20 years old EoN refrigerator. Awesome experience- just changed bulbs 2 times and once the refrigerant gas (9th year).
Have to change as more space required now. 💔
@IpsitaTOI@ArtiSinghRao@sumitamisra@AnantBhan A common Realtime dashboard (similar to covid dashboard at ground level) must be used to track all the govt vehicles, their usage, maintenance, driver assigned and claims asked for.
I hope Lots of corruption will be stopped.
Meet Kaizer, owner of the popular Roland Electronics, Hyderabad.
Spend just five minutes inside his shop, and you’ll see how crazy the sales are. The entire team is constantly busy attending to customers.
Yet, whenever we visit, Kaizer makes sure to spend an extra 10 minutes with Laksh. He discusses with him about the latest components and gadgets, and helps him understand why something is worth buying or why it isn’t. He’s equally curious to know what Laksh is building next.
Today we got Rpi 7” touch screen, oscilloscope, an eInk display and driver, cordless screwdriver. He gave Laksh a waveshare 7” touch display.
It’s these little things that make a big difference to a young builder.
Apple’s cheapest laptop ever costs $599.
Most people who bought the MacBook Neo use it for 3 things: Safari, YouTube, and Google Docs.
That’s a $599 laptop with Apple Intelligence that writes, rewrites, and summarizes any text in any app. A Neural Engine that runs on-device AI 3x faster than Intel laptops. Siri that reads your screen, searches your emails from 11 years ago, and acts across every app. An iPhone chip that runs the same macOS as $3,000 MacBook Pros. Live Text OCR that copies text from any image or video. Handoff that starts work on your iPhone and finishes it on your Mac mid-sentence. AirDrop that transfers files to any Apple device in seconds. Offline dictation that transcribes your voice without sending a word to any server. Shortcuts that automate 20-step workflows into one click. And the full Apple ecosystem iMessage, FaceTime, iCloud, Continuity Camera, Universal Clipboard on the least expensive Mac Apple has ever shipped.
The MacBook Neo runs the same macOS framework as its high-powered siblings every feature, every tool, every capability.
A college student who switched from a $300 Chromebook to the $599 MacBook Neo told me: “I bought it because it was cheap. I kept it because it does everything my roommate’s $1,500 MacBook Air does except faster rendering and bigger screen. Same apps. Same features. Same macOS. Same Apple Intelligence. I paid $599. She paid $1,500. We run the same software. I just didn’t know what my $599 laptop could actually do until I started exploring.”
Here are 11 MacBook Neo features most owners treat as a Chromebook replacement while ignoring the $1,500 laptop hiding inside 🧵
This is probably the best tweet you will read today.
A kid who was bad at maths, rejected by 25 universities and turned down by DeepMind three times, went on to build the software that OpenAI, Tesla and Meta now use to train their AI.
His story is the best argument I've seen for never ever quitting.
He grew up in Hyderabad (India), struggled with maths at school, and ended up at VIT in Vellore. VIT is a kind of college people call tier 2 in India, or probably worse.
He applied to twelve American universities for a master's with a GRE score of 1420 and was rejected by every one of them. He flew to the United States anyway on a J-1 visa with no real plan, applied to fifteen more programmes, and was turned down by all of them except USC and, through a late admission, NYU in 2010.
At NYU he started working with a researcher named Yann LeCun. Yes the same legendary researcher you’re thinking about. When he looked for jobs, the rejections kept coming. DeepMind said no. Almost everyone said no. His only offer was a test engineering role at Amazon.
Later, he applied to deepmind again, but was rejected again.
He kept building anyway. Around 2011 he wrote one of the fastest AI inference engines on phones, and still got rejected by DeepMind a third time, and then emailed LeCun one more time.
That email, along with his open source work, got him into Facebook's AI research lab, where he barely made it through bootcamp. Then senior engineers several levels above him couldn't get a major image model to train, and he, the most junior person in the room, found the bug that had everyone stuck. It was his first real win, almost ten years in.
He went on to co-create PyTorch with a team of three, and then watched management try to shut it down over internal politics. He has said he cried at a bar about it. A few people fought to save it, it launched in 2017, and today it sits underneath a huge share of the AI the world uses.
His name is Soumith Chintala.
Today he is Chief Technology Officer at Mira Murati led Thinking Machines Labs.
When the going gets tough. The tough gets going.
source - @autumn_ai_inc