Avi ( #KeepItSimple )

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Avi ( #KeepItSimple )

Avi ( #KeepItSimple )

@AvKeepitsimple

Active #trading beating all indices. Trade with me https://t.co/S05fhUUJwU #tennis #outdoors. Past: Senior IT Executive. Software Engr., Comp. Sc., MBA.

#Mother #Earth Katılım Eylül 2016
411 Takip Edilen854 Takipçiler
Barchart
Barchart@Barchart·
Nike Insider Trading Alert 🚨 Former Intel CEO and now Nike Director Bob Swan increased his position by 25% with a purchase of 11,781 $NKE shares for a total value of $500,000 👀
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Avi ( #KeepItSimple )
Avi ( #KeepItSimple )@AvKeepitsimple·
Three main catalysts behind Intel $INTC sharp rise - 1. Intel is helping Tesla ( $TSLA ) and SpaceX in building Terafab. Musk describes the Terafab to be capable of manufacturing a terawatt of annual compute capacity. 2. Intel is also reportedly in talks with Amazon ( $AMZN ) and Google ( $GOOG ) to provide advanced chip-packaging services. 3. Another recent catalyst was Intel's announcement that it would repurchase Apollo Global Management's ( $APO ) stake in a joint venture related to its Fab 34 in Ireland.
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Jim Cramer
Jim Cramer@jimcramer·
Do not sell the CRWD or PANW--too soon!
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Dean Marantis🇺🇸🇬🇷
I have potential bad news. I didn’t see it with my own eyes, but I heard Dan Nathen, chose Micron as his stock pick at the end of Fast Money today! Did anyone watch it? Is that true? If it is, I really have to think about holding Micron any longer. It has been my top pick. I know it’s going a lot higher, but Dan is seriously one of the worst stock pickers I have ever seen on CNBC. Maybe the worst of all of them. Someone please confirm or deny that Dan Nathen picked Micron today on Fast Money! I will be sick of its true! 😩 just when things started to look good! Ugh 😩
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Avi ( #KeepItSimple )
Avi ( #KeepItSimple )@AvKeepitsimple·
$META got excited today after the company announced a new large language model, its first major new artificial-intelligence model in more than a year. The rollout of the model, called Muse Spark, is a critical moment for Meta, which has spent billions of dollars hiring AI talent in a bid to catch up to OpenAI, Anthropic and Google DeepMind. Muse Spark is a closed model that will power Meta's AI chatbot and AI features within it. The company said it planned to release a private preview of the model to a few partners via an API. According to Meta's internal benchmark tests, Muse Spark outscored Google's Gemini on some tests and was competitive with models from OpenAI and Anthropic on others. I did trade $META on the news to generate some significant income.
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Timothy Snyder
Timothy Snyder@TimothyDSnyder·
Trump lost this war in every possible sense — morally, legally, politically, economically, reputationally, and strategically.
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Cern Basher
Cern Basher@CernBasher·
FSD v14.3 Improvements Explained (like you're ten) 🚗 Faster reactions = quicker reflexes Before: the car would “think” and then act. Now: it thinks 20% faster. 👉 Like when you catch a ball - this is like your brain reacting quicker so you don’t drop it. Faster thinking = safer driving. 👀 Better eyes (it sees the world better) The car uses cameras like eyes. Now those “eyes” are upgraded. 👉 It can: See better in the dark or bad weather. Understand weird situations (like strange signs or objects). Better understand how far things are (like 3D vision). Think of it like upgrading from blurry vision → super clear vision. 🧠 It learned from more experience Tesla trains the car using tons of real-world driving. 👉 This update means: It practiced hard situations more (like tricky intersections or weird drivers) It gets rewarded for making safer choices (like avoiding animals early) It’s like a kid who practiced the hardest levels in a video game - and now the easy levels feel simple. 🚦 It’s better at tricky situations Now the car handles: 🚨 Emergency vehicles (like ambulances) 🚌 School buses 🚦 Weird traffic lights 🤪 People who don’t follow the rules 👉 Basically: it’s better at dealing with chaos on the road. 🐿️ It’s nicer to animals The car is now better at noticing: Small animals (like squirrels or cats). And it tries to react earlier and more safely. 🚗 Less annoying driving habits Before, it sometimes: Drove too close to other cars (tailgating). Favored certain lanes too much. Now: 👉 It drives more like a calm, polite human. 🅿️ Parking got smarter Now it: Picks better parking spots. Parks more confidently. Shows you where it plans to park on a map. 👉 Like someone who doesn’t take forever to decide where to park 😄 🔧 It can recover from mistakes better If something goes a little wrong: The car can fix itself more often You don’t have to take over as much 👉 Like a kid who can correct their mistake instead of asking for help every time. 🔮 What’s coming next Soon it will: Think more deeply about everything it does Avoid potholes 🕳️ The camera that watches the driver will be better at telling if you’re really paying attention - even if you’re wearing glasses or it’s sunny or dark. 👉 This means the car is: Learning faster Reacting faster Getting smarter from real-world experience
Tesla AI@Tesla_AI

New release of FSD Supervised now starting to roll out This update brings 20% faster reaction time to further increase safety, among many other improvements Full release notes below Full Self-Driving (Supervised) v14.3 includes - Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios. - Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding. - Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed. - Mitigated unnecessary lane biasing and minor tailgating behaviors. - Increased decisiveness of parking spot selection and maneuvering. - Improved parking location pin prediction, now shown on a map with a (P) icon. - Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles. - Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety. - Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping – driven by training on hard RL examples sourced from the Tesla fleet. - Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet. - Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements. Upcoming Improvements - Expand reasoning to all behaviors beyond destination handling. - Add pothole avoidance. - Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.

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Bilal AI
Bilal AI@thebilal_a·
"Mr. President I would like to salute & thank you for this Draft" Shahbaz Sharif
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The White House
The White House@WhiteHouse·
OFFICIAL STATEMENT OF IRAN:
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Tesla AI
Tesla AI@Tesla_AI·
New release of FSD Supervised now starting to roll out This update brings 20% faster reaction time to further increase safety, among many other improvements Full release notes below Full Self-Driving (Supervised) v14.3 includes - Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios. - Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding. - Rewrote the AI compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed. - Mitigated unnecessary lane biasing and minor tailgating behaviors. - Increased decisiveness of parking spot selection and maneuvering. - Improved parking location pin prediction, now shown on a map with a (P) icon. - Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles. - Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety. - Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping – driven by training on hard RL examples sourced from the Tesla fleet. - Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet. - Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements. Upcoming Improvements - Expand reasoning to all behaviors beyond destination handling. - Add pothole avoidance. - Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.
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Avi ( #KeepItSimple )
Avi ( #KeepItSimple )@AvKeepitsimple·
After hours actions are insanely bullish. Is TACO trade mode on? $GOOG $AMZN $META $TSLA $MU $ORCL $QQQ
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Avi ( #KeepItSimple )
Avi ( #KeepItSimple )@AvKeepitsimple·
"US President Donald Trump was looking at a request on Tuesday from mediator Pakistan to extend his Iran attacks deadline by two weeks - hours after warning that “a whole civilization will die” if Tehran fails to make a deal."
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Peter DiCarlo
Peter DiCarlo@pdicarlotrader·
I was loudly bullish $TSLA to $550 by end of March 2026 I was wrong ❌ Price ran +51%, then gave most back. I closed the trade and my system is now OFF Tesla. This video breaks down why, the key levels I’m watching next, and how a 47% win rate still prints. Watch Now ⬇️
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