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Tesla's Flying Roadster Is Really About SpaceX · In the Loop AI

• 0:00
  It's been almost a decade since Tesla debuted the Roadster, their flagship car,
• 0:04
  and last week on Thursday, Elon Musk finally showed us the car.
• 0:09
  I watched a Tesla Roadster car drive up a ramp, turn upside down while stationary,
• 0:15
  staying stuck to the ramp, launch itself off said ramp,
• 0:20
  fly through the air, and then land perfectly into cruise control without a single
• 0:26
  dent or bit of damage on the car.
• 0:28
  Now, I understand what I just described to you sounds like AI,
• 0:32
  but it is anything but AI.
• 0:34
  And it uses some really neat physics tricks that I'm going to get into.
• 0:37
  But I realized it is the perfect combination of SpaceX and Tesla engineering
• 0:43
  that is going to propel, pun intended, cars, manufacturing and automobiles into the future.
• 0:49
  We are actually getting flying cars. But it also told me another story and the rumor mill is going.
• 0:55
  That Tesla and SpaceX might actually merge by the end of the year,
• 0:58
  forming what is going to be the fifth largest company in the entire world.
• 1:03
  I'm still in Japan. It's my final day. I've got my kimono on,
• 1:06
  but I'm excited to get into it and back to the regular schedule starting on
• 1:10
  tomorrow's episode. So all of this and more on today's episode of In The Loop
• 1:14
  brought to you by Qualcomm.
• 1:19
  Okay, so first we have to watch this video. There's jets of air propelling itself out of the car.
• 1:25
  It's spinning the car onto its front. It's landing it perfectly.
• 1:29
  There's a loud whirring noise when you listen to this video of air suction.
• 1:33
  You're wondering what on earth is going on.
• 1:35
  And then you're thinking, is this video sped up or slowed down?
• 1:38
  How on earth is a car able to stay stuck to the wall?
• 1:41
  Well, there's actually three neat physics tricks happening here,
• 1:44
  which combines SpaceX's engineering with that of Tesla's, which has produced
• 1:48
  a new type of car which can only be classified as a flying car and this wasn't
• 1:52
  the only neat trick that they showed us at the pre-launch event for the roadster i watched this car
• 1:58
  fly over trucks and cars i watched it go from 0 to 60 mile per hour in 0.81
• 2:04
  seconds which is the fastest of any road car ever and it basically got me questioning
• 2:08
  everything that i know about cars and what they're about to become
• 2:12
  so i wanted to understand the first trick which is
• 2:15
  how on earth did they get a car to stick to the wall because what you're seeing on your screen.
• 2:21
  Is in real time. And so no way could a normal car stay stuck to the wall,
• 2:25
  it would have fallen and crashed to the ground.
• 2:28
  Well, this car is equipped with an immense fan suction system.
• 2:33
  So it's embedded on the underbelly of the car, and it is sucking out all the
• 2:39
  air from underneath the car.
• 2:40
  And what this does is it creates an immense downwards force or downwards pressure,
• 2:46
  pushing the car onto any surface that it is driving on.
• 2:49
  Now the power of this force is up to 4,700 kgs, which is around 4.7 tons.
• 2:57
  That is a lot of force, 2 g's worth of force.
• 3:00
  And so therefore when the car is upside down or perpendicular to the ground,
• 3:04
  it's still enough to stick it to whatever surface that it's riding on, in this case, the ramp.
• 3:10
  And so that's what effectively is happening underneath the car that causes it to maintain traction.
• 3:14
  Now you might be wondering what is the physical or practical reality of this?
• 3:18
  Well, you can imagine if the car is moving at high speeds and you don't want
• 3:21
  it to barrel roll, or if you want it to have the best traction or safety when
• 3:25
  you are turning the steering wheel, this gives you that added traction.
• 3:30
  Now, the second trick that you saw were these jet streams that were shooting
• 3:34
  out of the car at weird times to try and stabilize its direction and help it
• 3:38
  land beautifully after it propelled itself off of the ramp.
• 3:42
  What I'm showing you on your screen now is something that Tesla's calling their thruster.
• 3:48
  But this thruster isn't like any
• 3:49
  typical thruster that you would see on a rocket or that of any other car.
• 3:54
  It contains highly pressurized compressed gas in this spherical shape that you're
• 4:00
  seeing on your screen right now.
• 4:02
  And this gas is basically released and it expands super aggressively or very
• 4:07
  quickly in milliseconds, such that it creates this immense force that can push
• 4:12
  the car in multiple different directions.
• 4:15
  Now, the car itself is fitted out to the max with these thrusters.
• 4:19
  They have about 10 of them.
• 4:20
  And coincidentally, these are the same thrusters that SpaceX used on the Falcon 9.
• 4:26
  So the spherical storage tank that you're seeing right at the end of this thruster
• 4:30
  basically is the container for
• 4:33
  this highly compressed gas. It's usually a mixture of nitrogen and oxygen.
• 4:37
  The cool thing about this is there's zero fuel or petroleum involved anywhere. It is just gas.
• 4:43
  And then you have an electric valve, which basically opens at a given point
• 4:46
  or time due to various different sensors and allows the gas to release and expand.
• 4:52
  And then Newton's law of motion applies here, where if it pushes a car in a
• 4:56
  certain direction or forces enough gas in one particular direction it can push
• 5:01
  the car stabilize the car in a particular different way
• 5:04
  and so as you're going back to the original demo that i showed you when it propels
• 5:08
  or launches itself off of the ramp
• 5:11
  these gas streams from these different thrusters help stabilize it now the scene
• 5:15
  i immediately think of when i watched this was that scene when matthew mcconaughey in interstellar.
• 5:21
  Docks the ship and he uses his robot tars to control this pretty precarious
• 5:26
  situation using these highly pressurized jet streams of gas to make sure or ensure.
• 5:32
  That the spaceship lands in a very specific way.
• 5:36
  That's exactly what this Tesla car does. And it's worth pointing out that SpaceX's
• 5:40
  supply chain is probably the only one belonging to any space company or any
• 5:45
  company in the world that could do this at scale.
• 5:49
  Now, Elon Musk did go on to say that the release of this car is probably going to be sometime in 2028.
• 5:55
  But the point is, if you are any other space company that wants to try and recreate
• 5:57
  this, there's no way that you could get it down to a cost optimal path.
• 6:01
  I'll get into prices later. But the idea here is,
• 6:04
  this is a first of a kind. But the third and final trick is something that is a lot more relatable.
• 6:10
  It is wings on the back of the car that you're seeing on the screen here fold
• 6:14
  out from the trunk like area of the car.
• 6:17
  And it does so in a very sleek and subtle way. Now, if you're a fan of Fast
• 6:21
  and Furious or any racing movie, you typically see this kind of architecture
• 6:25
  on the back of a car that goes super fast because there's less drag.
• 6:29
  It's way more aerodynamic.
• 6:30
  And it creates, most importantly a downward pressure as the car is moving fast.
• 6:35
  Now think about it if you have a car that's moving incredibly fast but doesn't
• 6:39
  have any downward pressure as soon as you steer the car it goes out of control
• 6:42
  and it starts to barrel roll but if you are able to generate downwards force
• 6:47
  then we have a different situation.
• 6:48
  Now this version or this form of the car is known as track mode and I believe
• 6:53
  it's towards a model that doesn't have the expensive fan suction system that
• 6:57
  you're seeing in the earlier demos that I showed you.
• 7:00
  But it's still cool nonetheless, and it achieves downwards force.
• 7:04
  Bigger than any other car or road car or land car that is accessible to an average user.
• 7:10
  And it's almost to the level and point of an F1 car. And you're achieving something
• 7:14
  similar at a regular consumer car.
• 7:17
  Pretty insane. And honestly, I have to give it to Elon and SpaceX and Tesla
• 7:22
  in general, because they managed to keep this a secret for so long.
• 7:27
  And on this video here, you'll see the footage that they released afterwards
• 7:31
  of all the test runs that they did to try and create the thrusters that would
• 7:36
  be repurposed from SpaceX rockets to make sense
• 7:39
  for a regular consumer car to show the jet streams propelling the car up and
• 7:44
  making sure it lands in a safe-like manner.
• 7:46
  I'm guessing they went through so many different types of crashes.
• 7:49
  The formation of the fan suction system to make sure that it generates enough
• 7:53
  downward pressure so that you can literally drive your car upside down and to
• 7:57
  create the wing system as well to do this for an average regular car that doesn't
• 8:01
  have the fan suction system. Now, in terms of price.
• 8:04
  They didn't really release any at all. But they did say that if you want the
• 8:08
  performance version, it's a $50,000 deposit.
• 8:11
  If you want the thrust version, which was the Jetstreams that you saw on your
• 8:16
  screen, it's a $250,000 deposit, a quarter of a million dollars.
• 8:21
  And then you have the rocket version, which is, as far as I'm concerned,
• 8:25
  undefined, which is invite only.
• 8:28
  So it's been, what, almost a decade since they announced the Roadster,
• 8:31
  and it's gonna be another two years until we actually get access to this thing.
• 8:35
  So it's still TBD whether this actually gets mass produced, but it's such a
• 8:40
  cool car demo. But stepping away from the sci-fi of it all, there is a more
• 8:45
  strategic reason why I think Elon Musk is creating this car.
• 8:49
  He's demonstrating that he can merge some of the most powerful capabilities
• 8:53
  and technologies from both companies to create something net new that the world has not seen.
• 8:58
  Now, it's no secret that Elon Musk has been incredibly bullish on space.
• 9:02
  He's been bullish for various different reasons. He believes getting humans
• 9:05
  to extraterrestrial planets is one of the most important things.
• 9:09
  Kardashev's law of scaling to kind of harness the energy of the Sun,
• 9:12
  in this case, to power AI models and generate compute, an abundance of compute
• 9:16
  that he thinks will help power the world and generate tons and tons of wealth
• 9:20
  for anyone and everyone in the future.
• 9:22
  But also to create as many robots, and robots come in the form of cars or humanoid
• 9:26
  robots in Tesla Optimus.
• 9:29
  As we can so that you can help humanity propel as AI and robotics merge.
• 9:34
  So then it would only make sense if Tesla and SpaceX would merge.
• 9:38
  Now, if you watched one of our early episodes almost a year,
• 9:42
  maybe a year and a half ago, you knew that we predicted it on this show.
• 9:46
  We predicted well before SpaceX actually IPO'd that SpaceX should end up merging
• 9:53
  with Tesla because there's so much synergies between the two.
• 9:56
  Tesla has all these different battery packs that would be required to power
• 9:59
  the data centers that SpaceX and its AI efforts were trying to push out.
• 10:03
  And simultaneously, SpaceX could benefit from all the humanoid robots that they
• 10:06
  were building to help autonomously build spaceships, to refuel rockets,
• 10:10
  and help achieve Elon's cadence of launching a rocket every hour,
• 10:14
  whatever that is, by 2032.
• 10:16
  And the rumor mill says that we may get an announcement as early as December
• 10:21
  or first week of December from Tesla announcing that they have plans to merge.
• 10:27
  Now, Elon has been a little vague about this, but he has been suggestive,
• 10:32
  and it wouldn't surprise me if this deal ends up happening.
• 10:35
  Now, the rumor also says that the most likely structure is SpaceX acquires Tesla
• 10:41
  in an all-stock deal, where Tesla shareholders get about 0.7%.
• 10:46
  SpaceX shares per Tesla share, plus a likely premium.
• 10:50
  And so Barclays says that Musk would own about 37% of the combined company with
• 10:55
  roughly 56% voting power.
• 10:58
  Now, the combined valuation of both of these companies would put it at the fifth
• 11:02
  largest company in the world. And listen, I have thoughts about all of this.
• 11:07
  I get the camp of critics that say that Elon is just doing all these different
• 11:12
  fancy demos to raise as much money as he can so that he can kind of keep the wheel going.
• 11:19
  And there's a lot of validity behind it, because although these concepts are
• 11:23
  very cool to watch and talk about and show because it's pretty viral, blah, blah, blah.
• 11:27
  The question about whether they can actually scale this to a mass audience is
• 11:31
  still uncertain, and it's still probabilistically a harder feat to actually pull off.
• 11:38
  We have to figure out the manufacturing of all of these things.
• 11:41
  We have to figure out getting the cost down so people can actually afford and buy it.
• 11:45
  You need to figure out the safety laws behind this. There has never been a flying car.
• 11:50
  There needs to be a lot of regulation and laws formed around these different kinds of things.
• 11:54
  And of course, Elon is very infamous for having delayed production times and
• 11:58
  the Roadster is actually the most delayed product that has come from one of Elon's companies.
• 12:03
  But on the other side, Elon is the only entrepreneur and innovator that is doing
• 12:09
  stuff like this. He's the guy that had the wacky wild idea of launching GPUs into space.
• 12:13
  And now it looks like it is very likely over the next couple of years.
• 12:17
  He was the first one to say that electric cars will become way more popular than petrol or gas cars.
• 12:23
  And back then, I remember, everyone thought he was crazy and he was able to pull it off.
• 12:27
  Everyone thought he was crazy when he said launching rockets and reusing them.
• 12:31
  So catching them and reusing them was impossible and he's been able to demonstrate it. Now of course.
• 12:36
  Demonstrating it and mass scale, as I said earlier, is a very different thing.
• 12:40
  But consolidating all these companies is going to help him achieve his goal
• 12:45
  versus keeping them as separate entities. So I'm glad to see that some of this
• 12:49
  consolidation might be happening.
• 12:51
  And it's a huge win for SpaceX, especially after their IPO and for Tesla,
• 12:54
  whose stock has been fairly flat over the last year.
• 12:58
  Now, speaking of IPOs, Anthropic is set to have a blockbuster IPO at $2.2 trillion valuation.
• 13:04
  And they're set to have their IPO roadshow start in about two weeks' time.
• 13:10
  And the idea here is they'll release their S1 prospectus, which will basically
• 13:14
  reveal all the details of their finances over the last year and a half to two years,
• 13:18
  and also their pitch as to why you should invest in their IPO,
• 13:22
  except the tide seemed to have turned recently on Anthropic.
• 13:26
  I'm showing this tweet by Andrew Curran here, where he basically goes,
• 13:30
  there was a meeting that happened between Anthropic and investors where they revealed some numbers.
• 13:34
  And the headline number is Anthropic's third quarter revenue rose 45% to $16.8 billion.
• 13:43
  Now, to put that into context, that is humongous. In the first quarter of this
• 13:47
  year, they earned about $4.3 billion, and the second quarter was $11.5 billion.
• 13:52
  So between the first and the second quarter, it jumped up over 100%.
• 13:56
  And then in this third quarter, it jumped up another 45%, except investors are
• 14:00
  reading that as things are slowing down, which is, I guess, accurate,
• 14:05
  but still a crazy take because that is a heck ton of money.
• 14:08
  And they are on track to hit in Q4, an ARR of about $116 billion.
• 14:15
  Now, that is a far cry from what Dario initially predicted at the start of the
• 14:19
  year of $10 billion. So Anthropik is easily one of the fastest growing companies in the world.
• 14:25
  And yet the market is still reading it as bearish. That Anthropica promised to keep.
• 14:31
  Growing their revenue, and they're currently showing a slowdown.
• 14:34
  And people are attributing the reasoning to losing enterprise market share to
• 14:39
  their competitor, OpenAI, who have launched, in their defense,
• 14:43
  a really good coding model that has improved drastically over the last six months.
• 14:47
  Codex, people have been shifting over to it.
• 14:49
  I think this is a bit of a nothing burger. I'm showing this tweet from John
• 14:54
  Dunnigan on my screen, where he basically talks about Anthropic agreeing to
• 14:58
  license this technology from a company called Opaque Systems.
• 15:02
  Now, Opaque Systems basically helps you or your models train on proprietary
• 15:07
  data, like from an enterprise, in a completely encrypted and secretive manner,
• 15:11
  which should give enterprises the confidence that they can use cloud models
• 15:14
  without knowing that they're going to steal from them.
• 15:16
  So I think this is a nothing burger. I think that Anthropics revenue is still
• 15:20
  soaring. And I think the fact that their revenue is down due to adjusted basis
• 15:24
  performance or whatever that might be, is because they have to spend so much
• 15:28
  money to acquire compute.
• 15:29
  If you've noticed, the cards or the tables have sort of changed between OpenAI
• 15:33
  and Anthropic. Typically, OpenAI is the one that has most of the compute and
• 15:37
  Anthropic has to hold back on releasing their models or rolling out to anyone
• 15:41
  and everyone specifically.
• 15:42
  But that has flipped over the last couple of weeks when OpenAI has suddenly
• 15:46
  become constrained and raising the prices of their subscription whilst halving
• 15:50
  usage capacity. And Anthropic has actually had more abundance of compute rolling
• 15:54
  out to as many users as they can.
• 15:56
  So I think that after Anthropic announced, I believe a few weeks ago,
• 16:00
  that they wanted to or they plan to spend over half a trillion dollars over
• 16:05
  the next 10 years on compute, that this is probably where the money is going
• 16:10
  to. But there's also another reason.
• 16:11
  I think that these AI labs, not just Anthropic, are very close to achieving
• 16:16
  something called recursive self-intelligence, where basically
• 16:18
  you have an AI model that can build and design the next version of itself,
• 16:22
  which means that this whole acceleration of AI models, the improvement of them,
• 16:26
  the power of them will be reached much, much quicker.
• 16:31
  As these models work 24-7 overnight.
• 16:33
  And Dwakesh on an interview this week actually confirmed, or he said,
• 16:38
  at least from himself, his own claim that Anthropic employees have been talking
• 16:41
  to him saying that RSI will be achieved as close as within the next nine months.
• 16:47
  OpenAI has said something pretty similar, but it's not without evidence.
• 16:50
  Anthropic's code changes that they've been pushing autonomously via their models,
• 16:54
  via their agents. And by the way, I think it's 50% of all code is currently
• 16:58
  being pushed autonomously or generated autonomously by their models.
• 17:02
  And almost 90% of all code generated has had AI models involved.
• 17:08
  So we're not too far off AI models just taking over the whole process,
• 17:11
  but where the gap is, where the delta is, is taste. These AI models...
• 17:17
  Whilst they're good at executing, aren't really good at figuring out what tasks
• 17:21
  they should do or what the design of the research is that they should go after.
• 17:25
  And Anthropic researchers are
• 17:26
  basically saying, we're going to get there within the next nine months.
• 17:29
  And if you look at the data, changes merged per day on Anthropic's monorepo,
• 17:34
  it has absolutely shut up.
• 17:36
  It has 10x'd since May. As this tweet says, Claude is able to autonomously iterate
• 17:41
  on research loops, micro-optimize complex programs, and build new services from
• 17:45
  the ground up at a speed and scale we haven't seen before.
• 17:49
  Now, speaking of Frontier Labs, one which is relatively new to the scene,
• 17:52
  Meta, has been doing some pretty awesome stuff in the open source world.
• 17:55
  So let's get into that on today's episode brought to you by Qualcomm.
• 18:02
  Mark Zuckerberg started his whole AI effort at Meta, pushing open source forward.
• 18:07
  It started with the Llama series of models and ended with Llama 4,
• 18:11
  which was at the time a huge disappointment.
• 18:13
  Since then, Meta has basically fired their entire AI team, spent upwards of
• 18:18
  $50 billion to acquire around 150 to 200 people and form Meta Super Intelligence
• 18:25
  Labs. And they've pushed out a bunch of AI products, which I've absolutely hated.
• 18:28
  But recently, a bunch that I absolutely love. And part of this is their series
• 18:33
  of models called MuseSpark. You've got 1.1, 1.2, and 1.3.
• 18:37
  And 1.3 is a really good model. It's a coding model and an agentic reasoning model.
• 18:43
  It's not necessarily frontier, but it works really well for specific niche use
• 18:48
  cases or specific work that you might want to kind of point and shoot an AI agent or AI model at.
• 18:54
  And this week, Mark Zuckerberg decided to open source that model.
• 18:58
  Now, think about this. This is a model that they have spent billions of dollars
• 19:02
  pre-training, post-training, proprietary designing, and then now releasing to
• 19:07
  the wide world to actually use.
• 19:09
  Now, there was a lot of critics, including myself, that basically thought that
• 19:13
  once Meta had fired and hired a new AI team, once they had failed on their initial
• 19:18
  open source LLAMA series, that they would not open source models.
• 19:20
  So it's pretty awesome to see that the American frontier of open source is so
• 19:25
  back and it's led by none other than Meta.
• 19:28
  But the coolest part about this story is that this new model,
• 19:31
  MuseSpark Open, can actually run on the latest Mac Studio, and they launched
• 19:37
  it in partnership with Apple.
• 19:39
  John Turnus, who is the new CEO and actually a hardware guru at Apple,
• 19:43
  he's been there for 18 years building some of the most popular devices that
• 19:46
  you and I use in our daily lives, and.
• 19:49
  Was the man that kind of helped engineer or make sure that the design of the
• 19:53
  Mac Studio was something that could befit a model as large and as big as Muse Spark Open.
• 19:59
  Now the stats for this thing is pretty cool. Alexander Wang basically says that
• 20:03
  this is an 816 billion parameter model, which is fairly big.
• 20:07
  And let me tell you, the American frontier for open source was way,
• 20:10
  way, way behind. So seeing something like this become available to anyone and
• 20:14
  everyone in the West is pretty awesome to see.
• 20:16
  Also, it's just good to see competition in general. And when you look at the
• 20:19
  benchmarks, it is great at GDPVAL, which is essentially general common knowledge work.
• 20:25
  So if you want to give it access to a tool to help you do your work,
• 20:28
  it's really good at that.
• 20:29
  But it's also good at agentic reasoning and long horizon tasks,
• 20:32
  which basically means if you give it a task that is meant to typically take
• 20:36
  days, it can actually keep working on it and have between a 40 to 50% chance
• 20:41
  of actually getting it right.
• 20:42
  And I expect to see that stat increase in.
• 20:45
  Many times over as these models start to improve, which begs the question, how soon will that be?
• 20:50
  Well, technically, Meta has released seven new models over the last three months.
• 20:55
  So that's a new model every, I think it's 11 or 13 days, which is absolutely insane.
• 21:00
  Because just a year ago, we wouldn't get a new model until we waited for three months.
• 21:05
  And that was from the Frontier Lab. So for Meta to be so far behind and catch
• 21:09
  up to where they are today is really awesome.
• 21:12
  And I'm glad to see open source winning. And then the final item on the docket
• 21:15
  is Google generally releasing their new Gemini 4 model, Argon.
• 21:20
  Now, I spoke about this last week when I had a conversation around whether Google
• 21:25
  can actually pull off a comeback.
• 21:26
  They had the lead or they were near having the lead at the end of last year,
• 21:31
  which was not that long ago.
• 21:33
  But since then, they underwent a lot of problems at the company.
• 21:36
  The DNA of the company decided to spend resources pretty haphazardly.
• 21:41
  They decided to build models that weren't really engineered around what customers
• 21:46
  or the market actually desired. They didn't focus on enterprise.
• 21:49
  They didn't really focus on consumer.
• 21:50
  They built many different models that worked in different subscription packages.
• 21:53
  It was a whole palaver and mess, which ended up in Demis Sissibis stepping away
• 21:58
  from the company or stepping away from his AI role at the company.
• 22:01
  And also a lot of key staff like Noam Shazir leaving to OpenAI and others leaving to Anthropic.
• 22:07
  So Google was in a bit of a precarious situation. But they have since released,
• 22:10
  finally, after delaying their model, Gemini Argon 4. And the reviews.
• 22:14
  I have to say, are actually quite good.
• 22:17
  My main concern for this model was that it was benchmarked. Because when I looked
• 22:21
  at the benchmarks last week, it looked pretty damn impressive.
• 22:25
  But I had to question how on earth they were able to pull this off.
• 22:29
  Like, what did it actually feel like to use this product? Now.
• 22:32
  I'll be the first to put my hands up.
• 22:34
  I don't know yet. I'm going to spend the weekend actually using the product.
• 22:38
  And if it's good or if it's bad, I'm going to give you a review next week.
• 22:41
  So stay tuned for that episode. But from the feedback that has been given from
• 22:45
  people, Ethan Mollick goes, I spent a decent amount of time with Gemini 4 before
• 22:49
  launch. Overall, Gemini 4 is a big jump over previous Gemini models.
• 22:53
  And it is the first non open air anthropic model to pass the fable Mythos Astrobar.
• 22:59
  So he's basically saying this thing is pretty damn good.
• 23:01
  It is also much more pleasant and more agentic than previous Gemini models.
• 23:05
  Basically, the taste of the model, it's much more easier to deal with.
• 23:08
  In fact, a big advantage is that it has a very different personality and sense
• 23:12
  of taste than Claude or Astra, which is a big deal.
• 23:15
  So when I'm using Claude, it is very verbose.
• 23:18
  It says way too many words, and I have to read an essay every time I have to get an answer from it.
• 23:24
  Now, with Astra, I don't have to read an essay, but it is quite sycophantic
• 23:28
  when I don't want it to be. It's quite agreeable when I don't want it to be.
• 23:31
  I want it to push back more. Ethan basically says that Gemini is not like that.
• 23:35
  But he also says that it's still not the best model to use when it comes to
• 23:40
  coding, when it comes to the majority of his work.
• 23:42
  But it's good to sort of bring into the fold and kind of get it to acclimatize
• 23:47
  to whatever work you're doing.
• 23:48
  And maybe in some cases, it actually benefits or excels. Justine Moore from
• 23:52
  A16Z said that it has really good visual intelligence.
• 23:56
  And what you're seeing on your screen here is she asked it to create an interactive
• 24:00
  museum for Apple computers. And it is pretty damn impressive to see. Am I making sense?
• 24:05
  It's just a crazy world. But Gemini is really pushing the frontier forwards.
• 24:09
  And, you know, we'll see once I get my hands on it, whether we can do something cool here.
• 24:12
  And that is it for the roundup. I will be back in the hot seat next week,
• 24:16
  maybe drop the kimono and wear something a little more normal.
• 24:19
  But thank you so much for listening. I love interacting with you guys.
• 24:22
  I love reading all your comments, whether it's good, bad.
• 24:26
  Criticism is always welcome. I'm always trying to figure out different ways
• 24:28
  of improving. So, you know, send me a DM, just even say hello or suggestions
• 24:32
  on any other topics that you have.
• 24:34
  And yeah, I guess that is it. I will see you on the next one.
• 24:37
  Thank you for listening to today's episode of In The Loop brought to you by Qualcomm.