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Elon Musk Weekly News Update: Tesla, SpaceX, X, Neuralink, and More · Elon Musk Podcast

0:00
Welcome to AI Update, where we explore the latest advancements
0:03
in artificial intelligence with insights into open AI, Google,
0:07
Gemini, generative AI, machine learning, and.
0:10
More Now let's learn together. I'm your host, Will Walden.
0:14
So how is Google DeepMind making its robots smarter with Gemini?
0:20
And what new methods are they using to train these robots?
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Now imagine we're in a sci-fi movie like The Matrix, but
0:27
instead of fighting machines, we're making them more
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intelligent, inefficient, which is bad for us, for the humans.
0:34
But Google DeepMind is leveraging its latest AI
0:37
advancements to revolutionize robot training and efficiency.
0:42
So they can. Actually help us humans.
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Now they've introduced a cutting edge AI training method known as
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Gemini 1.5. Pro.
0:51
This approach uses vision. Through video tours to train
0:55
robots, enhancing their ability to maintain, navigate and
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complete various tasks, and by utilizing this method, robots
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can learn more effectively from real world scenarios, thereby
1:07
improving their operational efficiency and adaptability.
1:12
Another significant development by Google Deepmine is the
1:14
introduction of Jest, the joint example selection training.
1:20
This method aims to optimize the AI training process,
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significantly reducing computing costs and also energy
1:27
consumption. With reported 13 fold increase
1:30
in performance and a tenfold improvement in power efficiency,
1:34
Jest represents a major step forward in the economics of AI
1:38
development. Now the innovation of Jest is
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particularly important given the ongoing discussions about the
1:45
environmental impact and the high costs associated with AI
1:48
data centers. And by reducing these barriers
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just could facilitate broader access to AI tech and accelerate
1:55
advancements, especially in areas like e-commerce and
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multilingual support. Now it's important for these
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evolving AI methods. Now, new training methods for
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large language models are essential due to the rapidly
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evolving nature of data and the increasing demand for models
2:12
that can adapt on the fly to new information and contexts.
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And since the inception of machine learning, AI training
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methods have evolved significantly.
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Traditional supervised learning methods relied on labeled data
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sets, while more recent approaches include unsupervised
2:30
learning and reinforcement learning.
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These methods allow models to identify patterns in unlabeled
2:36
data and learn through trial and error.
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Now, the JUST method differs from traditional AI training
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techniques by focusing on entire branches of data rather than
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individual data points. Initially, it creates a smaller
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AI model to assess data quality from high quality sources and
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ranks the batches accordingly. These rankings are then compared
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to a larger, lower quality data set to determine the most
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suitable batches for training a large model.
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Now the innovative approach that's happening here ensures
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that the training process is more effective and more
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efficient. It reduces time and resources as
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well. Now the practical implications
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of just extend beyond general adaptability with potential
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applications in various specialized domains such as
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healthcare and also in finance. New methods are crucial for
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language models to respond accurately to questions about
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niche or to about sensitive topics.
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This includes areas dealing with highly sensitive information the
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traditional LLM training algorithms might not handle
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appropriately, and several emerging approaches in AI
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training could significantly impact online commerce.
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One such method is reinforcement learning from Human feedback, or
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RLHF, which fine tunes models based on user interactions.
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This technique could enhance recommendation systems,
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providing more personalized and relevant product offerings.
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Another promising technique is a parameter efficient fine tuning.
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It's PEFT, which allows AI models to adapt efficiently to
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specific tasks. Now, this method could be
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particularly beneficial for online retailers during peak
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sales periods, optimizing their algorithms for better
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performance and more money. Now, ensuring the language
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models can provide accurate responses in multiple languages
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is a critical aspect of AI development, especially for
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global e-commerce. Many companies mistakenly
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believe their AI systems can effectively translate content
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across different languages, but this often leads to
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inaccuracies, particularly with industry specific jargon.
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To tackle the issue, though, some organizations are
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developing new multilingual AI training approaches.
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Language IO, for instance, has implemented a retrieval,
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augmented generation, or RAG process influenced by
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multilingual strategies. This approach aims to enhance
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the accuracy of multilingual support in e-commerce settings.
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Now, advancements in AI training methods could transform online
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shopping by offering better product suggestions, improved
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customer support, and more efficient business operations.
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AI that comprehends multiple languages can help companies
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expand their footprint globally and improve customer
5:25
satisfaction. So you would get repeat
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customers. And faster AI training methods
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might lead to quicker deployment of AI for various business
5:33
tasks, such as better inventory management and enhance customer
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service chat bots. This has enabled businesses to
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operate more smoothly and respond to customer needs more
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effectively. Now, with more accurate AI that
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can communicate in multiple languages, businesses could
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enter new markets more efficiently and provide local
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services without relying on human translators.
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This capability could significantly enhance their
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global reach and customer service quality.
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Now, improved training approaches can enhance online
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commerce by enabling more accurate, context aware
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multilingual support. It leads to better customer
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experiences, reduced language barriers and potentially
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increasing revenue. Now, all that said.
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Google's DeepMind enhancements with Gemini AI and Jest are an
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important stride for AI and for commerce.
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They promise to make AI systems more efficient, adaptable and
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capable for multi legal support, potentially transforming
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e-commerce and various sectors in the near.
6:38
Future The CEO of NVIDIA, Jensen Wong, believes that an effective
6:45
leader must be willing to put their hands in the dirt and get
6:49
dirty now. His leadership philosophy is
6:52
deeply rooted in his early experiences.
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He has a teenage busboy at Denny's where he performed a
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variety of menial tasks including washing dishes and
7:02
cleaning toilets. Now Wong who is the Co founder
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of NVIDIA, a company that's worth $3.1 trillion.
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Imagine this He's been in a Denny's booth now, despite his
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current net worth. Of about 100.
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And 8 billion. Dollars Wong credits his humble
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beginnings for shaping his. Approach to leadership In a
7:22
March interview at the Stanford Graduate School of Business, he
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said that no task is beneath him.
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He reflected on his time as a dishwasher and also a toilet
7:33
cleaner, and he said that these experiences instilled the sense
7:37
of humility and a strong work ethic in him.
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He told the students there. I mean, I cleaned a lot of
7:43
toilets. I've cleaned more toilets than
7:46
all of you combined. And some of them you just can't
7:49
Unsee. And everybody laughed at that
7:51
point. And his willingness to take on
7:53
any task, regardless of how trivial, is a principle he
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carries into his role as the CEO.
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His approach to leadership involves a readiness to assist
8:02
employees with any task. If it contributes to the
8:05
company's success, he said. If you send me something and you
8:08
want my input on it. And I can.
8:10
Be of service to you and in my review of it.
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Share with you how I reasoned through it.
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I've made a contribution to you, which is a weird thing to say
8:19
for a leader. Most leaders are considered
8:22
day-to-day operate operators. They don't really mingle with
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the with. The masses.
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But he's a separate kind of fellow and he's working well
8:31
with his team. He's a team player there now,
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known for his hand on management style.
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He's often described by employees as demanding and also
8:39
a perfectionist. But he requests weekly updates
8:42
from employees on their top five tasks.
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He personally engages with them to provide feedback and guidance
8:48
to move forward with the careers, and a New Yorker
8:50
profile detailed Wong's practice of visiting employees desks to
8:54
discuss their projects. It's direct engagement.
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It's part of his strategy to improve company performance and
9:01
help employees grow by sharing his thought processes and his
9:03
reasoning. He shared at Stanford again that
9:06
he finds personal fulfillment in teaching others how to approach
9:10
problems strategically. He said.
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I show people how to reason through things all the time.
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Strategy things, how to forecast something, how to.
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Break a problem down, you're empowering people all over the
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place to manage his workload. Effectively, he aims to complete
9:24
his most complex tasks early in the day.
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This allows him to remain available to his team throughout
9:29
the day, and he shared his practice during a commencement
9:31
speech at the California Institute of Technology.
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But unlike many CEOs who limit their direct reports to a small
9:38
group, he prefers having around 50 direct reports.
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He believes this structure reduces organizational layers
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and facilitates better communication and decision
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making within NVIDIA, he explained to CNBC.
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Now that having more direct reports helps maintain a fluid
9:56
flow of information within the company, he believes that this
9:59
approach enables him to lead more effectively and support his
10:02
employees success. Now at Stanford, he articulated
10:06
that the CE OS role is to inspire, empower and support
10:10
their employees. He said those are the reasons
10:13
why the management team exists in service of all the other
10:16
people that work at the company now.
10:19
Elon Musk, known for his own rigorous work ethic and hands on
10:23
leadership of Tesla and SpaceX, praised him.
10:27
Musk's accommodation came after watching a video clip discussing
10:30
his early work experiences at Denny's, and he echoed the
10:34
sentiment. He said absolutely the right
10:37
attitude. He recounted his efforts during
10:39
the COVID-19 pandemic to ensure his factories and offices had
10:43
sufficient toilet paper, highlighted a shared philosophy
10:45
of handling menial tasks. Personally, Musk has previously
10:49
demonstrated his commitment to understanding his employees
10:51
challenges by sleeping on the factory floor at Tesla, he
10:55
explained in a 2018 interview. The reason I slept on the floor
10:58
was not because I couldn't go across the road and be at a
11:00
hotel, it was because I wanted my circumstances to be worse
11:04
than anyone else of the company. Musk's admiration for Wang may
11:08
also be tied to their intertwined business interests.
11:11
With Tesla's ambitions and self driving tech secured, an
11:14
invidious high-powered chips is critical and.
11:18
Wang acknowledged Tesla's leadership in autonomous
11:21
vehicles, indicating a mutual respect.
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And despite their occasional. Disagreements such as Musk's
11:27
skepticism about the ease of creating neural networks with
11:29
NVIDIA chips, both leaders share a relentless try for progress.
11:34
Now, the CEO of Perplexity AI highlighted this trait using
11:38
Musk as an example of overcoming obstacles through determination
11:42
and working hard to get things done.
11:45
But Huang unconventional management style, including
11:48
avoiding unnecessary one-on-one meetings, is designed to
11:50
maintain agility and quick information flow.
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Within his company of NVIDIA, this approach has garnered.
11:56
Approval from Musk and other high level CEOs and they reflect
12:02
the shared commitment to effective leadership.
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Now, this philosophy that no task is beneath the leader
12:08
continues to guide his actions and inspire employees his
12:11
ability to show that he's still connected with every level of
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the company and with every. Employee.
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From direct reports to frontline workers.
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Exemplifies his hands on approach and his dedication.
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To the company of NVIDIA. So TikTok is preparing to
12:28
introduce a new AI chat bot named Genie to Western users
12:33
based on a recent US trademark filing.
12:36
This development represents Tik Tok's effort to enhance user
12:39
interaction through artificial intelligence, allowing users to
12:42
post questions and receive immediate responses.
12:46
And in addition, TikTok has started allowing creators to
12:48
download their videos without a watermark, simplifying content
12:52
repurposing across phrase platforms.
12:55
Now a report from. Semaphore said that TikTok has
12:58
filed a trademark for the name Genie for its upcoming AI chat
13:02
bot tool. The chat bot is expected to
13:04
provide various functionalities including simulating
13:07
conversations, facilitating interactions between humans and
13:11
AI, and producing human like speech and text.
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In May, in the US, the viral video app filed the trademark
13:20
the name Genie for an AI chat bot software that will, among
13:23
other functions, simulate conversations, facilitate
13:27
interaction and communication between humans and AI, and
13:31
produce human like speech and text.
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Now, TikTok strategy involves transforming the app into a
13:38
central hub for all of its AI functionalities, with a Genie
13:41
chat bot acting as a connector to different features within the
13:45
app. This move aims to integrate
13:46
multiple AI tools into a single user friendly interface.
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And the development of this chat bot isn't new.
13:55
In May of the previous year, users in the Philippines had
13:58
access to a chat bot named Takeo.
14:00
However, Takeo was primarily designed to help users discover
14:04
other videos within the app rather than addressing complex
14:07
queries. Now, the Genie chat bot is
14:10
anticipated to be much more advanced and incororating a
14:14
broader range of AI caabilities within Tiktok itself.
14:18
It's a significant ugrade to Takeo, aiming to deliver a
14:22
comprehensive AI exerience. Now the.
14:26
Key feature for this. Could be conversations between
14:29
creators and also people that follow them.
14:33
So instead of just comments, imagine asking the creator a
14:37
question and the AI version of the creator would answer your
14:42
question right there. It takes a lot of time.
14:45
I do YouTube as well and it takes a lot of time to answer
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every single question, every single comment.
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The last video that I had had 512 comments on it.
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There's no way I could answer every single one of those
14:57
comments. So an AI chat bot between the
15:00
users and also the content creators is going to be a
15:06
significant jump forward. Now, I can see in the future
15:10
that AI could take over from not just the chat bot, but something
15:15
like you ask the creator a question and in the creator's
15:19
voice, the chat bot answers you. And you might have to pay for
15:23
that. You might have to become a
15:24
premium member or something like that.
15:27
And that could be a future feature that people could be
15:31
using on TikTok. And one key component of this
15:35
integration is the generative AI search function available in the
15:41
Chinese version of TikTok, too. The feature enhances discovery
15:45
both within and beyond the app, and Genie is expected to include
15:48
similar capabilities. the US patented Trademark Office filing
15:53
from May outlines that the chat bot will facilitate interaction
15:56
and communication between humans and AI, simulate conversations,
16:01
and produce human like speech and text.
16:04
So the creator may record their voice and then repeat whatever
16:09
the chat bot says to the user to the end user.
16:13
It's a huge broad scope for this new tool, but TikTok hasn't
16:17
commented on the specifics of Genie.
16:20
However, the companies well known AI powered algorithm
16:23
combined with this generative AI tool suggests that Genie will be
16:27
a robust addition to its suite of AI features.
16:31
Now, more AI from TikTok is coming.
16:35
They have tested a AI recommendation chat bot called
16:39
Takeo, of course, in the past, and the company has also been
16:42
using Open AI's code to develop its own large language models.
16:46
Earlier this month, TikTok revealed other new AI
16:50
capabilities for its advertising partners, including digital
16:53
avatars and AI dubbing. These enhancements reflect the
16:56
company's ongoing investment in AI technology to support various
17:01
functions within the app. So if you're an advertiser on
17:04
TikTok, you can make an AI avatar.
17:08
You never have to record anything yourself.
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You don't need a studio. You just have AAI version of you
17:14
that does all the selling for you.
17:17
Now, the trademark filing for G&E suggests that the AI
17:20
initiatives at TikTok are expanding.
17:23
The chatbot aims to offer more than just recommended searches.
17:26
It's going to be more comprehensive and these
17:29
advancements come a bit challenges right now, including
17:31
the potential for divestment from its parent company, Bike
17:35
Dance, or a ban in the US by early of 2025.
17:39
If Tiktok is banned, all this could be for no reason.
17:44
And the Biden administration has expressed concerns about
17:46
national security risks posed by Tiktok's Chinese ownership.
17:52
TikTok is contesting these allegations, arguing that the
17:55
proposed actions are unconstitutional and violate
17:58
First Amendment rights. The legal battle shows that
18:01
there's broad tensions between TikTok, US regulators and China.
18:06
And in other TikTok news, introduce a new future that
18:10
allow creatures creators to download their videos without a
18:13
watermark. Kind of significant if they want
18:15
to share these videos across different platforms.
18:19
It's a welcome change by many users who have previously been
18:22
restricted from repurposing content because of the TikTok
18:25
watermark. And the absence of the watermark
18:28
makes it easier for creators to reuse short form clips across
18:31
different platforms. A screenshot from the app shows
18:34
a prompt asking users to choose between saving videos with or
18:37
without a watermark. Users can save watermark free
18:40
videos by selecting the save option during the upload
18:43
process. The update allows users to
18:46
repost their content on other platforms like Instagram,
18:51
Facebook also on YouTube, provided they share it on TikTok
18:56
first, and ensures TikTok continues to receive user
19:00
generated content first while enabling creators to benefit
19:03
from sharing across multiple social media channels.
19:07
Previously uploaded videos with watermarks on platforms like
19:10
Snap or Instagram often resulted in restrictions.
19:13
Similarly, YouTube might limit such content across its Shorts
19:17
platform. The new feature simplifies the
19:19
process of reposting content on different apps now, Since the
19:23
start of 2024, Tiktok has permitted users to download
19:26
clips without watermarks. The recent change, which
19:29
requires users to post on Tiktok first, aims to prevent users
19:33
from leveraging Tiktok's editing tools exclusively for other
19:37
platforms. Expert experts suggest that the
19:40
water free or watermark free downloads could previously be
19:44
achieved using the Cap Cut app, Tiktok's video editing tool.
19:48
However, the new feature streamlines the process for
19:51
those who prefer not to use additional apps for editing.
19:55
It's a simplified workflow for creators.
19:58
I'm a creator myself, so I would love to be able to use one apps
20:01
editing software, edit everything and then use it
20:05
everywhere. It's kind of difficult.
20:07
So what I usually end up doing is creating something and import
20:12
it into my computer. I edit it there and then I can
20:15
send it out to all the different apps.
20:17
So in addition to Genie, TikTok launched a creative content
20:21
suite named Symphony. Powered by generative AI.
20:24
The suite includes tools like Symphony Assist, Symphony
20:28
Creative Studio, Symphony Digital avatars, and
20:31
optimizations in TikTok Ads Manager.
20:34
The Symphony Creative Studio is a notable feature and also
20:37
allows users to create short clips from an existing asset or
20:40
a product URL. And the AI engine generates
20:44
custom video previews, simplifying the creative process
20:47
for marketers and also for content creators.
20:50
These features also include the ability to turn scripts into
20:53
voice overs that can be dubbed into multiple language so we can
20:57
reach the whole globe. Videos created using this
21:00
feature will be automatically labeled as AI generated to
21:03
maintain transparency. Now, there's a little bit of
21:08
related news here through Apple and Google.
21:13
Bloomberg reported that Apple might integrate Google's Gemini
21:16
chat bot into all of its devices.
21:20
So not only are you going to get ChatGPT and Open AI, which Apple
21:25
just announced, and also Apple Intelligence, but you could get
21:30
Google's AI Gemini, their chat bot, on your iPhone.
21:35
It would follow Apple's strategy of enhancing its AI capabilities
21:38
by collaborating with other tech giants.
21:40
It'll be integrated right on the phone.
21:43
It's not a separate app. So Apple senior VP of Software
21:46
engineering confirmed that Google Gemini would be
21:48
incorporated into the Apple Intelligence suite of AI
21:52
features. It's important for Apple to have
21:55
AI now. They have to compete with all
21:57
the other AI companies out there.
22:00
And considering that AI is going to take over all of the tech
22:05
world, they need to jump on board.
22:07
So having Gemini and ChatGPT is a significant move for Apple.
22:13
The AI enhanced Siri will prompt users to use ChatGPT or other AI
22:18
models like Gemini if they provide better responses to user
22:21
queries. Now, the integration aims to
22:23
improve the overall functionality and responsiveness
22:26
of Apple's virtual assistant. So Siri right now is very
22:30
limited. It sometimes it just doesn't
22:34
know what to do. You could ask it a question.
22:36
I ask my Siri questions all the time.
22:37
It has no idea what I'm talking about.
22:39
Or it tells me to go to the web to look at a, a web page.
22:43
And I just want an answer, you know, and I'm sure you do too.
22:47
You just want Siri to tell you what's up.
22:49
So sometimes, you know, Amazon's Alexa does the same thing.
22:55
And this is where Apple can pull ahead of Amazon in the device
22:59
category. Same with Google's assistants.
23:03
They do the same thing. They just, they might not know
23:05
what a thing is. So they'll just be like, here's
23:07
a web page and you're like, hey, I don't, I'm not near the
23:11
screen. You know, you use your home,
23:14
your Google Home, and it's like, hey, I'm not near a screen.
23:17
I can't go get that. And so it'll send a text to you
23:20
with a link and it's like, it's just like 3 extra steps to do
23:24
it. I'd rather the device just say,
23:27
oh, here I this is what I got from Gemini.
23:28
Here's what I got from ChatGPT. Here's what I got from any other
23:33
AI app out there, any other chat bot.
23:35
So make your own decision. Which one do you want to use?
23:38
And this is a really good move from Apple.
23:40
Instead of creating their own, they're using and integrating
23:43
other people's software like they've done for a long time
23:46
into their own software like Google Maps.
23:48
Think of that. Google Maps is, you know, for
23:52
for a while it was integrated with iOS and now they have Apple
23:55
Maps, of course, which not that good.
23:57
Sometimes it's OK, but Google Maps definitely my my maps of
24:01
choice. So think about it that way.
24:05
The close garden of Apple is becoming a little bit more open
24:11
by including these other AI chat bots and the advancements in AI.
24:19
Here they require a certain Apple device, the iPhone 15 Pro
24:22
or newer can only access these features.
24:27
So that the reason for that is because they need processing
24:29
power that can handle the AI capabilities and functionality.
24:35
Elon Musk and X Corp have successfully defended against a
24:38
lawsuit demanding $500 million in severance pay for former
24:42
Twitter employees. Now, this lawsuit initiated by X
24:45
employees claimed that X Corp and Musk failed to provide
24:48
severance in accordance with the Federal Employee Retirement
24:51
Income Security Act after Musk's acquisition of Twitter in
24:56
October of 2022. Now, the plaintiffs, including
24:58
Twitter's former global head of compensation and benefits and
25:02
another X manager, asserted that about 6000 and laid off
25:05
employees received severance equal to only one month's pay,
25:09
contrary to what they believed was promised under E risa.
25:13
However, U.S. District Judge Trina Thompson in
25:16
San Francisco ruled on Tuesday that the employees claims were
25:19
not covered, and Judge Thompson explained that the company had
25:22
informed employees post acquisition that those who were
25:25
let go would receive only cash payouts, thus not falling under
25:30
the jurisdiction. Now, this case, which is
25:32
McMillan versus Musk in the US District Court for the Northern
25:36
District of California, is one of several lawsuits filed by
25:40
former Twitter employees and executives following the mass
25:43
layoffs that occurred after Musk's takeover of the social
25:45
media platform. Now, the lawsuit specifically
25:48
cited that X Corp and Musk owed at least $500 million in
25:52
severance pay under the provisions of ERISA, which
25:56
governs employee benefit plans. Now, the plan.
25:59
The plaintiffs were Courtney McMillan, Twitter's former head
26:03
of total rewards, and another ex manager who believed they were
26:06
entitled to more substantial severance packages.
26:08
And according to McMillan and the other plaintiff, senior
26:13
managers were supposed to receive a severance package of
26:16
six months bonus pay, plus one week for each.
26:19
Full. Year of experience.
26:21
This contrasts starkly with what they received.
26:24
After the layoffs. But in Musk's defense, Judge
26:27
Thompson clarified that following the takeover,
26:30
employees were explicitly told they would only receive cash
26:33
payouts. That an IRISA did not apply in
26:37
this context, since there was no ongoing administrative scheme to
26:40
manage benefits like health insurance or outplacement
26:43
services. Now, the decision from the judge
26:47
effectively dismissed the lawsuit, saying there were only
26:50
cash payments promised. This verdict allows Musk and the
26:54
X Corp to avoid paying the additional $500 million sought
26:58
by the plaintiffs. Now.
27:00
In November of 2022, Musk addressed the severance issue in
27:04
a post on X, stating everyone excited was offered three months
27:09
of severance, which is 50% more than legally required or exited.
27:14
Sorry, not excited. This declaration was part of
27:17
Musk's strategy. To.
27:18
Counter claims that the severance offered was
27:21
inadequate. Now, despite the resolution of
27:24
this particular case, several other lawsuits from former
27:27
Twitter employees are still in progress.
27:29
These suits similarly address issues of severance and other
27:32
post acquisition employment terms under Elon's leadership.
27:37
Now. The layoffs were part of a
27:38
broader restructuring effort after Musk purchased Twitter for
27:42
$44 billion in October of 2022. This massive reduction in
27:46
workforce led to numerous legal challenges from former employees
27:51
who felt they were not adequately compensated now.
27:54
The plaintiffs, McMillan and Ronald Cooper and operations
27:57
manager, said that Twitter's 2019 severance plan promised
28:02
employees who remained post buyout two or six months of pay
28:06
plus one week of pay for each year of employment if they were
28:10
laid off. However, Musk's new policy post
28:13
takeover replaced the previous severance plan, providing only
28:16
one month of pay as severance without additional benefits now.
28:19
This shift sparked the legal disputes that have followed
28:22
Musk's acquisition. Judge Thompson pointed out that
28:26
the lack of an ongoing administrative scheme under
28:29
Musk's new severance plan meant ERISA did not apply.
28:32
The plan lacked continued health insurance or third party
28:36
outplacement services consisting solely of cash payments.
28:40
And the judge has left open the possibility for the plaintiffs
28:43
to amend their complaint, but only for claims that are not
28:46
governed by ERISA. This ruling sets a precedent of
28:49
how similar cases might be adjudicated.
28:52
Moving. Forward.
28:53
The legal battles following the layoffs reflect broader issues
28:56
of corporate responsibility and employee rights and.
29:01
Former employees want to hold Musk accountable for what they
29:05
perceive as broken promises regarding their severance.
29:09
Beyond this lawsuit, Musk continues to face scrutiny and
29:11
legal challenges related to his management decisions at X and
29:15
his other enterprises, including Tesla and SpaceX, and his
29:19
actions remain under close examination by former employees,
29:23
the courts, and also the public. Now, the case of Macmillan
29:27
versus Musk and Twitter remains a significant legal matter,
29:31
highlighting the complexities in disputes that can arise from
29:34
corporate takeovers. As other related lawsuits
29:37
proceed, the outcomes will likely shape the future
29:40
landscape of employment law in similar.
29:43
Corporate. Contexts.
29:49
Tesla has seen its stock performance take a significant
29:53
turn as investor sentiment improves.
29:56
Now, it's attracting renewed attention, particularly with the
29:59
highly anticipated robo taxi set to make its debut.
30:04
Now, on Friday, Tesla shares concluded their highest winning
30:08
streak since June 13th, 2023. That's the longest as well.
30:12
And the stock closed at $251.52 per share.
30:16
Again, that eradicated an 11% annual deficit, marking a 1.2%
30:22
increase for the year. Now throughout the month, Tesla
30:25
stock surged by 27%, significantly outpacing the S&P
30:29
500's modest 2% rise. Tesla reported second quarter
30:34
deliveries of 443,956 vehicles, surpassing expectations.
30:40
And this figure included 422,405 deliveries of the Model 3 and
30:45
Model Y, with the remaining 21,551 comprising other electric
30:50
vehicle models. And despite a 4% year over year
30:53
decline, the performance was seen as a positive indicator for
30:57
the company's future. Now endless Dan Ives from
31:00
Wedbush Securities is optimistic about Tesla's future, said that
31:05
it's stabilizing demand for electric vehicles globally.
31:08
And he highlighted that the company's forthcoming Robo Taxi
31:11
day on August 8th will be a critical event.
31:14
It's coming up soon everybody, so be careful.
31:16
Of all the imitators out there with robo taxis, Tesla's going
31:20
to be the one now. Potentially this will pave the
31:23
way for full self driving technology and an autonomous
31:27
future, something that Elon Musk has been promising every year
31:31
for about 5 or six years. Full driving next year, full
31:36
driving next year. Well, hopefully this will be the
31:39
year on August 8th that we're going to be really close to
31:42
that. They need to have full self
31:44
driving if they want these robo taxis to actually work now.
31:47
Ivy maintains an Outperform rating at Tesla, with a price
31:50
target of $300.00 and a bullish scenario with a potential rise
31:54
to 400. Of the 50 analysts covering
31:57
Tesla, 22 recommend buying the stock, 18 advice holding, and 10
32:01
suggests selling, according to data from Thompson One.
32:05
This consensus reflects the varied perspectives on Teslas
32:08
market position and future prospects.
32:11
Now remember, all of this is not advice.
32:15
What I'm saying right now, this is not advice.
32:17
Just want you to know that these are just the numbers and I want
32:19
you to run your own and do your own math.
32:22
And Elon Musk amplified interest by retweeting a video show Kiki
32:25
seeing a hands. Free Tesla ride.
32:28
From Golden Gate. Park to Fort.
32:29
Point how that shows the company's advancements in
32:33
autonomous driving tech and it contributed to the stocks 2%
32:36
rise on Friday, extending an impressive 37% Rayleigh over 8
32:40
sessions and a 43% gain over the past month.
32:44
Now, beyond vehicle production and deliveries, Tesla's energy
32:47
storage business is experiencing rapid growth.
32:50
Adam Jonas of Morgan Stanley said that Tesla's recent
32:53
performance, including better than expected second quarter
32:56
deliveries and significant energy storage achievements,
33:00
show that the company's diversifying.
33:02
And another boost for Tesla came from China, where the provincial
33:06
government included locally produced Tesla vehicles on its
33:10
purchase list. Now, the development permits
33:13
government workers to buy Tesla Model Y as a service vehicle,
33:17
indicating strong institutional support for the brand in the
33:20
region. And despite facing stiff
33:22
competition for Chinese electric vehicle manufacturers and
33:26
experiencing some demand fluctuations in the US, Tesla is
33:29
making strategic moves to maintain its market position
33:32
now. Earlier this year, the company
33:34
reduced its global workforce by more than 10% and cut vehicle
33:38
prices to stimulate sales. During Tesla's recent storage
33:43
Excuse me, shareholder meeting, Elon Musk acknowledged the
33:46
ongoing challenges in the EV market, noting the transitionary
33:50
period affecting demand and sales right now.
33:54
Barclays analyst Dan Levy remarked that while the second
33:58
quarter results were positive, broader market conditions remain
34:01
challenging. Levy has an equal weight ratio
34:04
on Tesla with a price target of about 180.
34:06
Dollars. Now, Tesla's upcoming second
34:08
quarter financial results scheduled for July 23rd are
34:12
expected to draw significant attention.
34:14
Stay tuned to this channel because we will bring you all of
34:18
that now. Analysts are particularly
34:20
focused on the company's automotive gross margins, given
34:23
the extensive discounts and incentives offered over the past
34:26
year to boost sales of its existing models.
34:29
And in late 2023, Tesla showed off the cyber truck.
34:34
This is the angular pickup we all know and love, and it
34:37
quickly became the best selling fully electric truck in the US
34:40
during the second quarter, according to social media
34:42
reports. Now, this achievement is a
34:44
notable milestone as Tesla expands its product lineup to
34:48
vehicles such as trucks. Now, Ford, who is a huge
34:52
competitor to Tesla, reported sales of 7902 units of its fully
34:57
electric F-150 Lightning in the second quarter, totaling 15,645
35:02
units for the first half of the year.
35:05
Tesla's performance in the segment shows that it has a
35:07
competitive edge in the electric pickup market.
35:11
Now, we anticipate that Tesla's Robo Taxi Day on August 8th will
35:16
be a significant event for the company.
35:20
We're predicting that although the robot taxi segment might not
35:23
launch before 2027, it'll be an important business area for
35:26
Tesla in the long term. A price target of 230 is a
35:32
talked about number on Tesla and that's a possibility that you
35:37
might want to buy the stock now. Because if it goes up to. 2:30
35:40
you're. Going to be cashing in if you
35:43
have enough stock. But of course, this is not
35:47
advice. This is just, you know, you do
35:49
your own work here, you figure out your own finances and you do
35:53
your own thing. And despite this recent rally
35:56
that's going on, Tesla stock performance still kind of lags
35:59
behind broader market indices. For the year.
36:01
The NASDAQ gained 22%. S&P 500 has risen 17% in 2024
36:07
compared to Tesla's 1.2% increase.
36:11
Now. It shows that there's challenges
36:13
facing Tesla right now and they have to start matching the
36:16
overall market growth. And recent polls indicate that
36:21
Tesla's brand image is suffering due to Musk controversial
36:24
actions in political statements. A New York Times survey
36:28
highlighted the Musk's polarizing behavior is
36:30
alienating some left-leaning consumers, which could impact
36:34
Tesla's market position. Tesla has also faced delays in
36:38
delivering full self driving capabilities, a goal that Musk
36:42
announced way back in October of 2016.
36:44
And pretty much every year since then, he said that it's going to
36:47
be the next year. And despite claims that all
36:49
tests the vehicles produced at the time had the necessary
36:52
hardware, Musk recently indicated that another hardware
36:55
and sensor update is required to actually achieve full self
37:00
deriving. Can we talk for a second about
37:07
Spacex's Starship in Starbase, Texas?
37:11
Because they're building the most massive launch tower at
37:15
Starbase. It's going to be over 400 feet
37:18
tall. It'll launch and catch Starships
37:21
on the Gulf of Mexico. It's going to be the wildest
37:25
thing that's going to happen in the next some amount of time.
37:29
We're not exactly sure yet, but let's go back in history if we
37:33
can. Let's rewind a little bit in the
37:35
journey to Spacex's Starbase's first launch tower, the
37:38
Mechazilla, if you will, complex process.
37:42
It was about 13 months from the beginning phases until they
37:49
actually stacked the Starship on the launch tower.
37:52
Then it took them a while to actually launch a Starship.
37:54
We're not going to talk about the actual launch.
37:56
We're going to talk about how long it may take them to do
38:00
Starships tower #2 at Starbase. 13 months for the first one.
38:06
The tower began mid 2020 ish and significant process and
38:13
milestones were achieved throughout 2021.
38:16
So think about this, in the middle of the year, August ish,
38:21
they started construction. First significant structures
38:24
began to rise in 2020. So the the base of the tower
38:28
started being put together. The tower assembly, the
38:31
structure of the launch tower started taking shape in early of
38:35
2021. But by August, the major
38:38
components, including the chopsticks.
38:40
I was there for the delivery of the chopsticks.
38:42
Actually, I watched the chopsticks drive down the road
38:46
right past me and they're used for catching and stacking of
38:50
rockets. And that's when they were
38:52
installed. About August 2021, I believe was
38:55
August 2021. They got all of the major
38:58
components together. And then by January 2022, the
39:02
tower was fully constructed and underwent various testing.
39:07
You know, it was integration of the launch or the catch arms,
39:10
the the lift arms, if you will, the chopsticks and other systems
39:13
which actually controlled the launch systems and the tower
39:18
itself, including venting and lighting and the the pneumatics
39:24
to raise up the rocket when you put it on those arms.
39:27
All of that was being built about early 22.
39:32
The tower was fully construction and underwent numerous tests for
39:37
for months, you know, integration of the towers other
39:40
systems and they finally lifted a test fully stacked rocket in
39:46
February of 2022 and I believe it's February 10th of 2022.
39:51
I was there in Brownsville at Starbase when they did this
39:55
first lift. I went down February 14th and I
40:00
got footage of it. February 10th, after they
40:02
stacked and they open up the roads again, I got some footage
40:05
of it and then this was what we all thought.
40:09
Was going to be the first Test article that was going to launch
40:12
from Starbase ship 20 and booster.
40:16
Four so 4. 20 was going to be, in all rights, the first rocket
40:23
to launch, but that wasn't the case, so they took it all down.
40:26
It was a beautiful sight. I get to see it from numerous
40:28
angles. I got really close to it.
40:30
It was wonderful. And Elon did a talk from there,
40:33
too. Now what we're going to talk
40:35
about today, how much time it's going to take for them to
40:38
complete tower two as Starbase. So now that we have a back story
40:43
here, about 13 months from the initial groundwork around the
40:49
first tower till the complete construction and stacking around
40:54
13 months, we're already into tower two.
41:00
All of the the major components have been delivered of the of
41:06
the core of the tower to Starbase, at least most of them
41:09
as far as we know. And there could be more because
41:14
they haven't shown us exactly how tall this is going to be.
41:18
And they also, Elon hinted that this is going to be more complex
41:21
than the first one. So we actually don't know all of
41:24
the components for this yet. We know a lot of them.
41:27
We know there's going to be catch arms.
41:29
We know there's going to be a pneumatic system to raise and
41:31
lower it. We don't know what's going to be
41:34
used as the actual kind of engine to push the rocket up and
41:39
down. You know, we're not exactly sure
41:42
because there's more piping more.
41:45
It might be actually a, a very more, a much more simple process
41:50
than tower one because Elon said his engineers came to him and
41:54
said, hey, the, the tower one, let's just kind of throw
42:00
everything away and let's start over.
42:03
We have this really great design, which we think will be
42:06
better than tower one. So what they're doing is they're
42:09
probably simplifying. All of the parts.
42:12
Elon has said this so many times.
42:15
The best part is no part and as an engineer myself, I'm a front
42:19
end developer engineer. I know this is true.
42:25
The less amount of code that I can use to get the job done, the
42:28
better off the final product is. So that's exactly what they're
42:31
doing here with Starbase's Tower two.
42:34
Now, a lot of us in the media here have thought that
42:38
Starbase's catch tower, which was going to be tower two.
42:41
We thought tower two was going to be just catching and tower
42:44
one was going to be launching and stacking.
42:48
But that's not the case. Elon has said tower 2 will be
42:51
for launching, catching, refurbishing, basically
42:55
everything you need to do for the tower, you know, as far as
42:59
the tower goes. And then of course, well, it
43:01
won't be refurbishing, but you know, doing some a little bit of
43:04
Labor to get it ready for launches.
43:06
But if there needs to be a really like massive
43:10
refurbishing, it can go back to the production facility right
43:14
down the road about a mile away. And Starbase is becoming a
43:18
massive city almost. It's crazy.
43:21
They're they're building new housing down there.
43:24
So the, the people that work there will have a place to live
43:29
nearby because Brownsville, TX is actually about 30 minutes
43:33
away. And you have to drive down this
43:35
crazy at Long Highway in the middle of nowhere with no
43:39
facilities, there's no gas, there's no chargers for Tesla's
43:42
or anything along the way. It's like 25 minutes of nothing.
43:47
And then finally at the very, very, very end of this road,
43:49
literally at the Gulf of Mexico, you get to Starbase.
43:53
So they were, they're building these, this launch tower, the
43:58
quick release, everything's going to be completely
44:00
different. And the engineers at SpaceX are
44:04
literally the best in the business.
44:06
So when they start stacking this, we're going to see piece
44:09
of this stacking atop each other, of course, like a normal
44:11
tower. But we'll see it simplified and
44:15
it's going to be a mega structure.
44:17
It's going to be over 400 feet tall.
44:19
The Starship itself is about 400 feet.
44:21
So if they want to do Starship version 2, Starship version
44:25
three, it has to be a massive tower down there.
44:29
So it could be 450, almost 500 feet tall by the end of the
44:36
stack. I'm not sure.
44:38
They haven't told us what they're gonna, how high they're
44:40
gonna stack this thing yet. I haven't heard anything from
44:43
Elon or anybody at Starbase how tall they're gonna make this
44:46
thing. I've seen drafts of this
44:50
blueprints that I've, I've gotten behind the scenes.
44:53
I can't show them to you, but somebody's shown me some, some
44:57
items that I that I can't really talk about too much, but it
45:02
looks massive. That's all I can say.
45:04
That's all I can say. I was, I wasn't even supposed to
45:06
tell you that I got those blueprints.
45:07
But we're going to keep it in there because yeah, it's, it's a
45:12
fun, it's a fun thing to know, but it could be massive.
45:15
The second tower could be much bigger than the first tower.
45:19
And we've had hints of that from Elan.
45:20
He said, yeah, it's going to be bigger.
45:21
We but we don't know exactly how big it's going to be, right.
45:24
We can guess. All we can do right now is guess
45:27
because the components that they have now.
45:30
Stack those up and we'll have. Pretty similar to what we have
45:33
now, probably a little bit bigger and then they might add
45:37
more components in the future. So who knows?
45:41
We've had, I've had a comment on my last video of somebody that
45:45
said they're not going to catch. The.
45:50
Booster until the next tower is done, Elon said.
45:55
The next. Booster will be caught.
45:59
At Starbase, so tower one, which you see over there, over that
46:03
side over there, that's tower one.
46:06
They they want to catch it for IFT 5.
46:10
And if that's the case, if they want to catch it for IFT 5 and
46:13
something goes wrong, it could be months before they rebuild it
46:17
and they're not going to be ready for IFT 6 or tower two
46:21
isn't going to be ready for IFT 6.
46:24
It's going to take, if they do a similar strategy to the first
46:29
one, which I think they're going to have a streamlined process.
46:31
So I don't think it's going to take 13 months this time.
46:34
It may because it might be more complex but simpler, if that
46:37
makes sense, like a much more complex structure, but with
46:41
simpler hardware and simpler piping and electronics and
46:47
stuff. So it it could be just the, the
46:50
build of The thing is simpler, but it could take preparation
46:54
and could take months, almost a year to get this thing
46:57
completed. So if they do catch it, if they
47:00
go for it on IFT 5. And Kathy leaders has said we're
47:05
not sure yet, but then Elon came out on Twitter or on X saying
47:11
we're going to catch it on IF for IFT 5.
47:13
So it's all still up in the air. If they run the numbers and they
47:17
think they can do it and it looks good during the flight,
47:19
they'll probably do it for IFT 5.
47:24
Also, Elon's the biggest hype man.
47:26
So we all know that Elon is up in his head thinking we can
47:30
figure it out. Like, why don't we?
47:32
Why can't we figure this out? And for him, that's how he
47:35
thinks. He doesn't think in absolutes.
47:37
He thinks of what happens if we don't do it.
47:42
Well, then we failed. You know what?
47:46
Why can't we do it? That's how he thinks.
47:48
Like, why can't we? He never thinks like, oh,
47:50
there's all these roadblocks in the way.
47:52
He doesn't think like that, and that's why he's so successful.
47:55
It's not about the roadblocks. It's not about the things that
47:58
the engineers and typical engineering, typical engineers
48:02
put up roadblocks to themselves like, well, these systems work,
48:06
so we can't go around these systems and build something new.
48:09
We can't innovate because our systems work.
48:11
Why do you think ula and Blue Origin are so mad at SpaceX?
48:16
Because that's how they think. They're boring.
48:21
You know it they're they're they think like strict guidelines.
48:27
They have strict guidelines. SpaceX, Elon especially goes,
48:32
what are these strict guidelines?
48:35
OK, engineering guidelines definitely have a purpose.
48:37
If you don't have these strict guidelines, then things go
48:40
wrong. But if those strict guidelines
48:44
get in the way of progress, get rid of those guidelines, throw
48:47
them out the window and move forward.
48:50
So this next tower, the engineers were like, we're
48:53
throwing all this stuff out of the window that we did for IFT
48:56
or for the tower one. And we're going to build our
48:59
dream tower. We're going to build an
49:03
engineering marvel that's going to put us so far ahead of ula
49:10
Blue Origin, basically the only other heavy lift rockets out
49:14
there that nobody can compete for a very long time.
49:19
Modern marvel. That's what this thing is.
49:21
It's going to be a modern marvel.
49:22
It's going to be an engineering feat that no one's seen before.
49:27
The SLS tower, Massive. That's cool.
49:30
You know what's cool about the SLS tower too?
49:33
It moves the whole rocket like it.
49:37
It moves it incredibly slow. The crawler moves a giant 300
49:41
some odd foot tall rocket from the production facility from the
49:46
high Bay all the way to the launch site.
49:49
SpaceX doesn't do that. They take the booster and the
49:52
ship separately. They raise them up with the
49:55
arms, they stack them on top of each other and then they're
49:57
ready. Of course there's things in
49:59
between like they're not just ready.
50:00
They have to, you know, do some testing or whatever, but they
50:04
they don't drive it down the road all put together, which is
50:08
a smart thing to do. You know, you don't need a
50:10
massive tower. Plus they only have the little
50:12
Rd., they have like A2 lane Rd. to get down and they're like,
50:15
how do we do this? And their rocket is as big as a
50:18
road is A2 lane Rd. It's like 30 feet wide.
50:22
The thing is massive. So they couldn't do that.
50:24
There were, there were constraints for them to build
50:27
here. So they had to build what you
50:30
know, the basically like a, a, there's a barge, like a, a land
50:36
barge basically to move this thing down or they, they hired
50:39
one or they rent one or whatever.
50:41
So, and then they finally have their own.
50:43
So The funny thing about this next tower is that we don't
50:49
really know what it's going to look like.
50:51
We know actually, we know one thing, Elon, Elon has said this,
50:55
the the arms are going to be a little bit smaller.
50:58
They're going to be just big enough for the rocket or the
51:03
booster, I should say, or the rocket too, to be caught on.
51:07
So the rapid reusability of the booster and the rocket itself,
51:12
the Starship, it, we may start to see that happen really soon.
51:19
And the reason why we need this is because SpaceX wants to go to
51:25
Mars eventually. But the first step is to get to
51:28
the moon. Artemis 3, they'll be sending
51:32
people to the moon. SpaceX needs to refuel Starship
51:35
numerous times and the only way they can do that is to catch the
51:39
boosters, refurbish them, you know, set up another Starship.
51:44
They could have a fleet of 50 boosters in 50 Starships or
51:49
whatever, you know, or 20 Starship or whatever you know,
51:52
It depends on the ratio there. But could they just have 4
51:57
boosters that work really well? It's just continuously launch
52:01
land, launch land, launch land and send up 10 Starships to to
52:06
the refuelling station. That's a possibility.
52:11
All they have to do is stack them up.
52:13
It would take. Especially for the Artemis
52:15
program, would take them about a week to do all the launches.
52:18
I think 7 days to a week or something.
52:21
Somewhere somewhere around 7-7 days.
52:23
I think the calculations were that SpaceX could possibly get
52:28
all of the boosters and all of the Starship fueling.
52:31
Starships into orbit. The tankers.
52:35
And also they need the tankers. They need to test the tankers at
52:38
Starbase before they launch them from KFC.
52:42
So we're probably not going to see the tower at Kennedy Space
52:46
Center be built until after tower two at Starbase is
52:50
completely finished and tested rigorously with different
52:55
variations of Starships, because they need to know that it works.
52:59
You know, they could probably start it and realize that the
53:03
design works really well and then they can build it over at
53:08
Kennedy Space Center. They'll go through all the
53:09
testing, make sure everything is great and then they'll start
53:12
building over at Kennedy Space Center.
53:14
But I'm guessing tower two, I mean tower one was 13 months
53:19
until full stack around 13 months from 2020, like mid 2020
53:24
to February 2022. That's a long time.
53:27
So somebody said they're not going to catch the the booster
53:31
until tower 2. Yeah, if you want to wait a
53:34
year, you know, IFT 6, no, they're not going to wait a year
53:39
for IFT 6. But there will only be a few
53:41
launch attempts left in this year at Starbase.
53:45
So there's a possibility they continue to launch for Starbase
53:49
in the beginning of next year. They also continue to build the
53:53
the tower two. They'll refine tower one because
53:56
they're going to need both towers.
53:58
You know, they're going to need both towers to continue testing.
54:01
So one of them will probably primarily be for catching.
54:06
Tower two, I think is going to be more of a catch tower or more
54:09
something that they can catch with because that's going to be
54:11
their final design. Tower one, they could probably
54:14
catch with that too. I'm not 100% sure.
54:16
I'm not. So that's that's where I differ
54:18
from a lot of Youtubers out there is that like, I'm not 100%
54:22
sure about this stuff. And people that say that they're
54:24
sure about this stuff are full of crap.
54:28
Like they have some data, right? But like we know everybody
54:32
that's, you know, that's been right.
54:34
Eric Berger is like the only dude you can trust 100% think
54:38
about Eric. So what I what I do with my
54:41
timelines is like, what does Elon say?
54:44
And then what does Eric say? And then it's somewhere near
54:48
what Eric says is when things actually happen.
54:51
Elon is very is a hype man, but he wants stuff done as fast as
54:57
possible. His timelines are ridiculous.
54:59
Like if everybody worked as hard as Elon, it would be done by
55:02
now. But then you get Eric Berger in
55:05
the process and he knows engineering, you know, he knows
55:08
what's up. So I kind of look at both of
55:11
those numbers. Elon says it'll fly in four
55:14
weeks. Eric says 8 weeks, probably 7
55:17
weeks, you know, so we're around there.
55:19
So the tower, the second tower probably be done in a year
55:24
somewhere around there. And just because the first one,
55:27
let's say it's massively more complex or they run into
55:30
something with with, you know, building these things out,
55:34
fabricating something. It could take longer, but
55:37
somewhere between somewhere in a year before the actual tower is
55:41
completely constructed. So next year, like mid next
55:45
year, maybe, maybe first four months of next year would be a
55:50
good estimate for this. So let me know in the comments
55:54
down below and thank you for watching this.
55:57
I really do appreciate you and please take a second.
56:00
Of course, because I'm a YouTube, I have to ask for this.
56:03
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56:08
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56:10
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56:15
a rocket emoji down below. But I want to know what?
56:17
Everybody else thinks like when will the.
56:19
Tower actually be built. Let me know in the comments down
56:22
below what you think and give me a reason if you have one,
56:25
because I know there's information out there and the
56:28
information I've sifted through, most of it is like it's there.
56:36
You know, the information's out there, but there's not a lot of
56:39
like complete information out there.
56:45
But I can tell you what the design I saw of the tower and it
56:49
was, as far as I know, was an official design.
56:54
It looks incredible and it looks like there could be, let's just
57:00
say more than meets the eye. That's all I could say.
57:06
That's all I can say. So thank you for watching
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