most people will trade $8 for $1000+ doing something they enjoy and were already willing to do for free.
The Elon Musk Twitter shitshow
- Thread starter CleteyColgate
- Start date
most people will trade $8 for $1000+ doing something they enjoy and were already willing to do for free.
"Sheila got a CAR and earned over $150,000 being an Amway Gold Lead member! YOU CAN TOO!!!"
One day it will all make sense. I did try to tell you guys. But would you listen?
Twitter was purchased for data and training neural nets.
“X.ai led by @elonmusk is the latest heavyweight player in AI. I see a few unique strengths in Elon's ecosystem:
▸ Lots of multimodal data on Twitter: dialogue text, images, and a growing collection of long videos. X.ai is the only AI company that has direct & legal access to such an enormous & daily-expanding corpus.
▸ Tesla FSD team has years of experience in building huge training clusters, such as Dojo. Not to mention the tons of high-quality Tesla fleet data for machine perception.
▸ Tesla Bot would be the physical embodiment of the X.ai brain, if they ever connect the two.
It's also got an all-star founding team. I'm really impressed by the talent density - read too many papers from them to count:
- Jimmy Ba: Adam (default optimizer for modern NNs), Layer Normalization (critical building block of Transformer).
- Igor Babuschkin: AlphaStar (DeepMind's StarCraft player that beats human champions).
- Christian Szegedy: BatchNorm (key component of ResNet that made training stable).
- Yuhuai "Tony" Wu: AlphaStar, OpenAI Baselines (widely adopted RL library), PaLM-2
- Greg Yang: deep learning theory
- Zihang Dai: Transformer-XL (adding recurrence to extend beyond a fixed context window), XLNet
- and many others
It's great to see more competition in the foundation model space. Eager to see what's next!”
Twitter was purchased for data and training neural nets.
“X.ai led by @elonmusk is the latest heavyweight player in AI. I see a few unique strengths in Elon's ecosystem:
▸ Lots of multimodal data on Twitter: dialogue text, images, and a growing collection of long videos. X.ai is the only AI company that has direct & legal access to such an enormous & daily-expanding corpus.
▸ Tesla FSD team has years of experience in building huge training clusters, such as Dojo. Not to mention the tons of high-quality Tesla fleet data for machine perception.
▸ Tesla Bot would be the physical embodiment of the X.ai brain, if they ever connect the two.
It's also got an all-star founding team. I'm really impressed by the talent density - read too many papers from them to count:
- Jimmy Ba: Adam (default optimizer for modern NNs), Layer Normalization (critical building block of Transformer).
- Igor Babuschkin: AlphaStar (DeepMind's StarCraft player that beats human champions).
- Christian Szegedy: BatchNorm (key component of ResNet that made training stable).
- Yuhuai "Tony" Wu: AlphaStar, OpenAI Baselines (widely adopted RL library), PaLM-2
- Greg Yang: deep learning theory
- Zihang Dai: Transformer-XL (adding recurrence to extend beyond a fixed context window), XLNet
- and many others
It's great to see more competition in the foundation model space. Eager to see what's next!”
Ok…come on… Musk was embroiled in a massive lawsuit because he tried to get out of his impulsive purchase offer.
Twitter was purchased because a rich guy shot off his mouth and had to follow through with his overpriced offer. Then, he tried to sue to get out of the deal, but was countersued and forced to follow thru. Then, he filed a lawsuit against the firm that beat him in court, which was paid by the previous Twitter owners to force him to fulfill his contractual obligation, claiming they were 'overpaid', even though they were paid by former Twitter owners because they were successful.
“Elon Musk is setting out to understand the true nature of the universe with his newest company, xAI.
The team will talk about the new venture on Friday, July 14, during a Twitter Spaces.
Here's a breakdown of each team member and their contributions to artificial intelligence:
Elon Musk
Elon Musk, co-founder of groundbreaking companies like SpaceX and Tesla, has been instrumental in advancing the field of artificial intelligence, particularly through his contributions to OpenAI. His belief in the transformative potential of AI, coupled with his advocacy for ethical regulations, has fostered both technological innovation and the ongoing discourse around safe and responsible AI usage.
Igor Babuschkin
Igor Babuschkin, a distinguished AI researcher, holds an impressive portfolio of experience at leading tech companies like DeepMind and OpenAI. Handpicked by Elon Musk for his expertise, Babuschkin has been engaged in developing a rival chatbot to OpenAI's ChatGPT, which he sees as being trained to be "woke".
Manuel Kroiss
Manuel Kroiss, an accomplished software engineer, has leveraged his skills at tech giants such as Google and DeepMind, significantly contributing to advancements in reinforcement learning and artificial intelligence. Most recently, as co-author of the paper "Reverb: A Framework for Experience Replay," Kroiss helped introduce a highly efficient and customizable system for experience replay in reinforcement learning, furthering the state-of-the-art in the field.
Yuhuai (Tony) Wu
Yuhuai (Tony) Wu is an accomplished computer scientist and AI researcher, known for his work on automated mathematicians and formal reasoning at Google's N2Formal team and a stealth startup. His influential research, recognized with accolades at ICLR and coverage in outlets like the New York Times and Quanta Magazine, centers on developing machines capable of human-like reasoning, particularly in mathematics.
Christian Szegedy
Christian Szegedy is a highly accomplished research scientist with extensive expertise in deep learning, artificial intelligence, computer vision, video analysis, and formal reasoning, currently serving as a Staff Research Scientist at Google. His educational background includes a Ph.D. in Applied Mathematics from the University of Bonn, where he studied matching theory, graph coloring, and developed optimization algorithms to solve complex problems in electronic design automation (EDA).
Jimmy Ba
Jimmy Ba is an Assistant Professor at the University of Toronto, where he leads research on the development of efficient learning algorithms for deep neural networks, with a focus on building general problem-solving machines that mirror human-like efficiency and adaptability. His extensive educational and research experience includes a PhD under the supervision of Geoffrey Hinton, and he holds positions as a CIFAR AI Chair and a recipient of the Facebook Graduate Fellowship 2016 in machine learning.
Toby Pohlen
Toby Pohlen, previously a Staff Research Engineer at Google DeepMind for over six years, has extensive experience in machine learning and reinforcement learning, including work on major projects like the AlphaStar League and Ape-X DQfD. With a stellar academic record at RWTH Aachen University, where he graduated at the top of his class in Computer Science, he has made significant contributions in areas such as computer vision, image processing, numerical analysis, and probability theory.
Ross Nordeen
Ross Nordeen, a technical program manager from Tesla who managed the influx of new hires and access requests at Twitter during Elon Musk's overhaul, is now part of xAI. He aims to help humanity pass the great filters, achieve a Type 1 status on the Kardashev scale, and launch von Neumann probes to explore the galaxy.
Kyle Kosic
Kyle Kosic, an accomplished full-stack site reliability engineer and data scientist, has a rich academic background in Machine Learning, Physics, and Applied Mathematics and a diverse professional experience spanning OpenAI, OnScale, Lucena Research, Wells Fargo, and IntegriChain. Known for his proficiency in a wide array of technical skills, including various programming languages, DevOps technologies, and AWS services, Kosic's work is marked by his passion for automation, scalability, distributed computing, and effective application of machine learning models in various domains.
Greg Yang
Greg Yang, honored with the Morgan Prize Honorable Mention in 2018, has spent over five years with Microsoft Research, where he made significant contributions, including the development of the theory of Tensor Programs and the practical scaling of neural networks. Known for his late-night eureka moments in Building 99, Yang, who joined Microsoft Research directly after undergraduate studies, expresses immense gratitude for the opportunities and growth experienced during his tenure at the company.
Guodong Zhang
Guodong Zhang, a highly distinguished researcher in machine learning and artificial intelligence, is based at the University of Toronto and the Vector Institute in Canada. Known for his focus on training, tuning, and aligning large language models, Zhang has made considerable contributions to the field, demonstrated through his extensive publication record. His impactful work ranges from optimization studies, such as 'Multi-agent Optimization or its Application', to deep learning research like 'Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers', to Bayesian deep learning, with 'Differentiable Annealed Importance Sampling and the Perils of Gradient Noise'. Zhang's academic excellence has been recognized with several honors including the Apple PhD Fellowship in 2022 and the Borealis AI Fellowship in 2020, underlining his significant potential in the field of AI and machine learning.
Zihang Dai
Zihang Dai is a Research Scientist at Google, with academic degrees from Tsinghua University and Carnegie Mellon University, and prior research internships at Baidu USA and MILA at the University of Montreal. His notable contributions at Google include generalized language pretraining with XLNet and efficient language processing with Funnel-Transformer, with his research interests focusing on deep learning for natural language processing and energy-based generative adversarial networks.”
My take, he simply wanted a discount. He did want to buy Twitter and thought it was existentially important to do so.
I’m genuinely shocked that list of brilliant AI minds on post #2726 didn’t include @Joes Place for the amount of topics he is an absolute expert on.
Has Elon reached out yet?
....and Twitter is SUCH a great platform to "train" an AI on....
....to become a bigoted, racist and misogynistic "sentient organism".....
....to become a bigoted, racist and misogynistic "sentient organism".....
It's amazing how PF reads a desperate attempt to stave off Treads as some great advancement. There's drinking the koolaide and then there's PF.
Not sure you can find better evidence of Twitter being a sea of toxicity than this.
I don’t know much about this guy other than the obvious allegations. Sure seems like a POS. What has he been convicted of?
You have to be at a level where millions of people are looking at your crap, just to start getting some money. Not happening for all but a select few.
Joe might be on to something…sounds a lot like Amway.
The guy with 7.1 million followers and way more impressions got less money than a Tesla fan account with 750k followers.
They're told to hate Elon so they do. Blindly. They don't even know why. It's as if they were in some sort of cult that demands complete subservience while banning critical thinking/self thought.
He’s an arrogant, narcissistic prick. He’s another Trump. It’s no big mystery.
He called the guy who rescued the Thai soccer team a pedophile because they wouldn’t use his plan.
Nah, Google it if you’re really interested. I’m not going to convince you and don’t really feel like trying.
Not always, got to give him credit where he does good too.
I have. He’s done some cool stuff.
But every time he tweets or opens his mouth…
I think he’s insufferable.
No he called him that bc the diver was a prick and senselessly attacked him in the press for no reason. Elon’s comments were in response.
Got the quote that makes baselessly calling someone a pedo an acceptable response?
Maybe it was when he told a newspaper Elon Musk could shove his submarine up his own ass?
How does no one remember this?
How ignorant are people? Good God.
Well, yes, as already mentioned above, there is emerging evidence high traffic pro Elon and / or pro deplorable accounts are magically getting paid while high traffic liberal and /or Elon sucks accounts magically are not…
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