Exploring the frontiers of AI and LLMS to build, use and or deploy Machine Learning / AI solutions.
🇰🇪, Afrika Mashariki.
Joined November 2017
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// CS329A Self-Improving AI Agents (by Stanford) //
Lots of students have been asking me for good lectures on self-improving AI.
This one has good content and lots of good references.
I've started putting together my own notes and will share soon.
(bookmark it)
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I am afraid this man is absolutely right and there is a huge problem coming our way.
😱
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BREAKING:
An open letter calling for Jensen Huang to be reinstated as Nvidia CEO has now received more than 80,000 signatures.
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YG8 tungsten carbide plate pressing
Gitar ku petik, bass ku betot, hai nona cantik, mungkin aku adalah laki laki terburuk yang pernah kamu temui, tapi percayalah aku tidak pernah pura-pura mencintaimu.
Kemarin aku berulang kali merayumu, menangisimu, agar kita bisa kembali bersama. Aku menghilangkan rasa gengsi setengah mati, namun semuanya sia sia, dan pada akhirnya aku memilih untuk tidak mengganggumu lagi.
Percayalah, aku sudah melewati malam malam yang menyakitkan dan selalu berharap kamu akan kembali bersamaku.
Namun, setelah melihat responmu yang sudah tidak menghargaiku lagi, disaat itu juga aku tersadar kalau kamu sudah tidak ingin ada aku lagi di kehidupanmu selanjutnya.
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🚨: Astrophotographer Angel Fux braved the extreme cold of the Swiss Alps to photograph a rare alignment of the Milky Way.
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Insane how yellow-skinned billionaire has affairs with adult women and has to resign but white-skinned billionaires rape 16-year-old girls on private islands and nothing happens
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On Android phones, there's a feature turned on by default that lets them fall back to 2G connections. According to police in Tokyo, a man had been exploiting that feature from a car, and they have now arrested him.
On November 7, police closed in on a dark blue hatchback on a Ginza street. Under the back seat was a radio transmitter, still on, with batteries in the trunk.
The device, police say, emitted a strong signal on the same frequencies as the carriers, causing every phone within about 500 meters of the car to lose its connection: more than 10,000 phones.
When a phone loses its connection, it looks for any network to connect to, and what the car was emitting was a 2G connection.
On 4G and 5G networks, a phone checks whether the cell tower it's connecting to is legitimate. On 2G, it doesn't, and so any phone that connected to the car's fake tower had no way of knowing it wasn't legitimate, and trusted everything it saw.
What it saw was a text message, in Chinese, saying the recipient's credit card had been suspended and offering a link to fix the problem. Police say 18 people, mostly Chinese tourists, lost around 4 million yen to the scam, or around $25,000. The driver, Yu Hai, a 31-year-old Chinese national, denies the allegations.
One man in his 20s told NHK that when he was walking in Shibuya, his phone suddenly switched to 2G, and that exact text message appeared on his phone. He ignored it.
Japan doesn't have a 2G network. It shut down its last one around 2012. Why would a phone in Tokyo still connect to one?
Because phones are built for the global market, and some parts of the world still only have a 2G connection.
That's why the setting is left turned on. If it were turned off for everyone, then a traveler in one of those countries could have no service at all.
In Ginza, this backup system let a single car disable over 10,000 phones for an hour, then send them a fake text message.
The default setting is set once, by the phone manufacturers, for all countries at once. Japan got rid of its 2G network years ago, but it doesn't get to decide whether phones in Japan still trust a 2G tower, and they still do.
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I have been hearing stuff like gikuyu men are not romantic
Meanwhile:
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Register for Get Certified: Special Edition to earn a brand new badge!
Our hybrid Professional Agentic Architect (PAA) cert includes no-cost prep & hands-on Google Skills challenge labs. Google Cloud customer email required.
Apply by Dec 9 → goo.gle/4iMtM8U
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this is wild...
the guy reverse-engineered his smart glasses with Opus 5.5 into an AI object recognition device
you can hook it up to any smart glasses with a camera and they start naming every person, car and any object they see, live
it's free, open source and runs on a regular Mac
here's the full breakdown:
step 1 → install YOLO with one command: pip install ultralytics
step 2 → put on the glasses and start a WhatsApp video call to your own Mac
the glasses look at the street, and the Mac sees exactly what they see
step 3 → in OBS, capture the call window and turn on Virtual Camera
now the glasses feed shows up on your Mac like a webcam
step 4 → run the tracker on that feed: yolo track model=yolo26n.pt source=1 show=True
every object gets a box, a label and an ID that sticks to it from frame to frame
step 5 → keep only what matters to you: classes=0,2,16 for people, cars and dogs, conf=0.5 to drop weak guesses
step 6 → have a small Python script say what it sees with macOS say, routed into the call through a virtual mic like BlackHole: "car on your left". it plays right in your ear
step 7 → train it on your own objects: your products, your tools, your dog. swap coco8.yaml for your own labeled photos and run yolo train
step 8 → export it for your phone: format=coreml for iPhone, format=tflite for Android, so you don't need the Mac at all
under the hood:
→ YOLO looks at each frame only once and finds every object in that single pass, which is why it's fast enough for live video
→ tracking (ByteTrack by default) keeps the same ID on the same dog even when it walks behind a tree
→ 80 object types work out of the box, no training needed
github.com/ultralytics/ultra…
try it yourself
then read the guide on how to reverse-engineer any device with Claude:
