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Inside Google's AI Slump: Can Gemini 4 Argon Fix It? · In the Loop AI

0:00
Ejaaz: When it comes to AI, Google is a company that you would expect to see at the top.
0:03
Ejaaz: And yet over the last six months, they've suffered a bit of a fall from grace.
0:07
Ejaaz: Their flagship model, Gemini, which peaked at the end of last year,
0:11
Ejaaz: has suffered delay after delay after delay, with companies like Anthropic,
0:15
Ejaaz: OpenAIR, and even Meta running complete circles around them.
0:18
Ejaaz: I think 15 brand new AI models has dropped since Google's last one has.
0:22
Ejaaz: But the bad news doesn't stop there. Google has also recently lost key members
0:27
Ejaaz: of staff from their AI team, the most prominent one being Demis Hacibis,
0:31
Ejaaz: the AI CEO of DeepMind, who started the whole thing at Google.
0:35
Ejaaz: He's had to step away to focus on other things, but they also lost their chief
0:39
Ejaaz: AI scientist, Jeff Dean, who, for all intents and purposes, is the godfather of Google.
0:46
Ejaaz: He's responsible and the man behind 90% of Google's hit products,
0:50
Ejaaz: including the TPUs that power Gemini and power other models like Claude and ChatGPT.
0:55
Ejaaz: As well as having his hands in several other of foundational research papers
0:58
Ejaaz: that has given birth to modern day AI as we know it.
1:01
Ejaaz: That guy also left citing reasons that he can't do the work that he wants to
1:06
Ejaaz: work on at Google anymore. And so the public reaction was understandably catastrophic.
1:11
Ejaaz: The stock dropped 5% over a matter of hours, losing the company tens of billions of dollars.
1:16
Ejaaz: But recently, I think things have started to shift. Now, of course,
1:20
Ejaaz: Google in itself, on its own, without all the AI stuff, is a massively successful
1:24
Ejaaz: company. They're the third most valuable company in the world. I'm not negating that.
1:28
Ejaaz: But if AI is set to be the future, it's important that a company is able to pivot.
1:33
Ejaaz: When I look at the likes of Meta, when I look at the likes of Amazon,
1:35
Ejaaz: although they're operating in different spheres, they are able to focus and
1:39
Ejaaz: spend so much money and time and resources in trying to figure out the AI thing.
1:43
Ejaaz: And Google started very much in the same way. They've been arguably the longest
1:48
Ejaaz: company in this game spanning back decades and decades.
1:51
Ejaaz: And so after this recent shift in staff, time and resources,
1:54
Ejaaz: it's important that they're able to get their foot back into the race.
1:57
Ejaaz: And we might be starting to see it.
1:59
Ejaaz: Just last week, they released Gemini 4 Argon, or at least they announced it.
2:04
Ejaaz: And if benchmarks are anything to go by, this model is pretty powerful and can
2:08
Ejaaz: compete with the best of the best from Anthropic and OpenAI.
2:11
Ejaaz: But they also recently, in fact, today, as I'm recording this,
2:14
Ejaaz: released Nano Banana 2.1, their brand new image generation model.
2:17
Ejaaz: So we're starting to see more releases from Google.
2:19
Ejaaz: And on this episode, I want to dig into what's happened, where Google is at
2:23
Ejaaz: right now, and what the future might look like. All of this and more on today's
2:26
Ejaaz: episode of In The Loop, brought to you by Qualcomm.
2:33
Ejaaz: Now, very quickly, before we get into it, you might be wondering,
2:35
Ejaaz: Ejaz, this is a different setup and you're missing a co-host.
2:38
Ejaaz: There's a ton of updates that have happened for the show.
2:41
Ejaaz: Go and check it out on our video that we posted two days ago.
2:44
Ejaaz: It's on our channel and we'll explain everything there. But long story short
2:47
Ejaaz: is Limitless is evolving into a new brand refresh called In The Loop,
2:52
Ejaaz: but it's very much the same DNA of the show. And we're going to be coming to
2:55
Ejaaz: you every single day of the week with the latest and greatest in AI and frontier tech.
2:58
Ejaaz: All right. So now setting the stage for Google as a company.
3:02
Ejaaz: Now, for the last seven months, Google has basically had their best model underperform
3:09
Ejaaz: every single flagship product that Anthropic and OpenArea have put up.
3:14
Ejaaz: And I mean that for every single model, including Opus, including Sonnet,
3:19
Ejaaz: which are typically the cheaper, less impressive tiers from Anthropic,
3:24
Ejaaz: including Sol, including Luna and Terra, which again, are the lowest equivalents
3:30
Ejaaz: coming from open air, their cheapest and technically worst models would still
3:34
Ejaaz: outperform Google's best.
3:36
Ejaaz: And that's weird, because at the end of last year, Gemini was on top and they
3:40
Ejaaz: had a meteoric comeback where they kind of had the lead back in the day before GPT came out.
3:47
Ejaaz: And then GPT came out and took the world by storm. And Google was criticized for not being able to.
3:52
Ejaaz: Stage a comeback and actually catch up with all the research that they've done.
3:56
Ejaaz: And then they released Gemini and the world's opinion changed on it.
3:58
Ejaaz: It became deeply integrated into every Google product that you could use,
4:02
Ejaaz: including Google search.
4:03
Ejaaz: And it just became synonymous with using Cloud or ChatGPT. But something changed since then.
4:08
Ejaaz: And I don't know whether it's a research problem, or whether it's a staffing
4:11
Ejaaz: problem, or whether it's just generally a product company focus thing,
4:15
Ejaaz: but they weren't able to ship a competent model.
4:18
Ejaaz: Now, speculation behind that is at the same time that they started to announce
4:22
Ejaaz: delays, Claude Code hit an absolute exponential run. And this,
4:27
Ejaaz: of course, is the flagship product from Anthropic.
4:30
Ejaaz: And at that time, AI coding was kind of this mysterious, weird thing.
4:34
Ejaaz: Companies didn't really know whether they should focus on automating coding
4:38
Ejaaz: or not, whether they should focus on automating research or other such things.
4:41
Ejaaz: And Claude was the very first instance where it became clear coding and AI are a natural fit.
4:48
Ejaaz: And that is where the leading edge is going to be figured out.
4:51
Ejaaz: OpenAI figured this out about a month after Claude Code launched and we shifted
4:56
Ejaaz: everything to build their own competitor called Codex. And since then,
4:59
Ejaaz: they've been able to catch up. And you could argue that's why they've been able
5:01
Ejaaz: to build much better models that stay on par with Claude.
5:05
Ejaaz: And now it's Anthropic versus OpenAI, because they're using these models to
5:08
Ejaaz: build the next better versions of themselves, something called recursive self improving.
5:12
Ejaaz: Google, People unfortunately watched all of this happen and thought.
5:15
Ejaaz: I think we can wait a bit. We can try and figure out all these other types of
5:18
Ejaaz: products that we've already committed to on our product roadmap and we can come back to coding.
5:22
Ejaaz: And that ended up costing them pretty greatly, which is a shame because Google
5:26
Ejaaz: has some of the biggest distribution on earth. You're seeing on the screen here,
5:29
Ejaaz: their market share value is around $4.1 trillion, making them I think the third
5:33
Ejaaz: most valuable company in the world.
5:35
Ejaaz: And they have around 3 billion users across all their different products.
5:40
Ejaaz: It's very important to state that there is no other company like Google that
5:44
Ejaaz: has such a large product surface area across both general consumers,
5:49
Ejaaz: so the public like you and I,
5:51
Ejaaz: and enterprise customers that use their products pretty aggressively to document
5:56
Ejaaz: stuff on Google Docs to create slides or to manage their databases via Google Sheets.
6:00
Ejaaz: So pretty much wherever you are on the internet, whether you're searching for
6:04
Ejaaz: something, whether you're trying to produce something, whether you're trying to analyze something,
6:07
Ejaaz: there's always a very competitive google alternative which is why then when
6:11
Ejaaz: ai exploded onto the scene you would expect them to be able to pull off a similar
6:16
Ejaaz: stunt and they actually were able to with gemini.
6:18
Ejaaz: But they haven't been able to keep up but don't take my word for it i mean look
6:21
Ejaaz: at the screen when we look at the artificial analysis index which is a really
6:25
Ejaaz: good general benchmark to try and test the intelligence of the latest model
6:30
Ejaaz: from these frontier companies
6:31
Ejaaz: you see clawed opus 5.5 which was released about a week and a half ago score
6:35
Ejaaz: 58 you've got gpt6 astra scoring a very close 53.
6:39
Ejaaz: And then you have Gemini 3.1 Pro, which was released back in February,
6:44
Ejaaz: which in AI years, funny I say
6:47
Ejaaz: years, which in AI timeline is years and years and years worth of time.
6:52
Ejaaz: So you wonder why hasn't Google been able to ship an effective product?
6:56
Ejaaz: Well, the answer is, I think there is a work culture problem because starting
7:01
Ejaaz: August 5th, but actually even before that, they started to bleed a lot of very
7:05
Ejaaz: important talent. And we covered this on previous episodes.
7:08
Ejaaz: We mentioned that John Jumper, who shared a Nobel Prize with Demisus for building
7:14
Ejaaz: AlphaFold, which is basically their protein sequencing DNA AI model, had left to join OpenAI.
7:20
Ejaaz: And then Jeff Dean, who I mentioned earlier on in the intro,
7:23
Ejaaz: who is kind of like the chief scientist and grandfather at Google for a lot
7:26
Ejaaz: of the other products that aren't just AI related, just an absolute invaluable
7:30
Ejaaz: person at the company, left to start his own AI lab.
7:35
Ejaaz: I think it's called Discovery Loop, which is focused on automating research,
7:39
Ejaaz: first starting in AI, and then other parts of research in physics and science.
7:43
Ejaaz: That is exactly what the Frontier AI labs that are leading this entire field
7:47
Ejaaz: are doing and focusing on.
7:48
Ejaaz: So my question then becomes, why on earth did a loyalist like Jeff Dean feel
7:53
Ejaaz: the need to leave when he could have easily built this at Google?
7:56
Ejaaz: I think there's a work culture problem going on. So it led to this massive exodus.
7:59
Ejaaz: Demis' service had to step down and focus on something else.
8:02
Ejaaz: And so what we're left with is a completely bare team that needs to figure out
8:06
Ejaaz: a completely new strategy.
8:08
Ejaaz: But everything I'm saying, I admit, sounds very Doomer-esque for a company that
8:13
Ejaaz: is the third most valuable in the world and is making so much money.
8:16
Ejaaz: Because when you look at the stats, right, they have over 1 billion in AI mode
8:21
Ejaaz: for search past a billion in AI overviews, which have reached around 2.5 billion.
8:26
Ejaaz: And then when you look at the amount of tokens that they process for their AI
8:30
Ejaaz: products or across all of their products, it's 22 billion tokens a minute.
8:34
Ejaaz: They've also reported 82% growth
8:36
Ejaaz: in Google Cloud, which is their AI CapEx infrastructure business where
8:39
Ejaaz: they're spinning up TPUs, which is their own version of NVIDIA's GPUs,
8:43
Ejaaz: and using it to facilitate selling training and inference costs to other AI
8:48
Ejaaz: labs or firms that want to train and raise their own models.
8:51
Ejaaz: And again, putting all of that aside, they have a humongous enterprise business,
8:55
Ejaaz: 8 million Gemini enterprise paid seats on their AI products alone.
8:59
Ejaaz: That's not even including some of their Google Cloud enterprise products.
9:03
Ejaaz: So for all intents and purposes, is Google is an absolute cash-generating machine,
9:07
Ejaaz: and I'm not negating that. They have one of the largest cash balances on Earth for any company.
9:13
Ejaaz: But they've also been spending very aggressively to try and acquire and build
9:16
Ejaaz: as much compute data centers to pay for the expensive capex costs that they're taking.
9:20
Ejaaz: But there's a bit of a mismatch. Google right now, as they're positioned,
9:24
Ejaaz: is focused to be a really good
9:26
Ejaaz: hyperscaler or infrastructure provider, akin to maybe a neocloud that builds
9:32
Ejaaz: AI data centers or builds the chips, supplies them then to AI labs that can
9:37
Ejaaz: use them for inference costs or training their own AI models.
9:40
Ejaaz: And that is all fair and game. But Google at its core DNA is not just a research lab.
9:47
Ejaaz: They're this perfect hybrid of a research lab and a product company.
9:50
Ejaaz: That's why they've been able to become one of the biggest companies on Earth.
9:54
Ejaaz: And that's why people love Google as a company and as a business.
9:57
Ejaaz: They haven't been able to translate this for AI yet.
10:00
Ejaaz: And you can argue that if they maintain this kind of product or working culture,
10:05
Ejaaz: then they're going to end up just remaining a hyperscaler or a neocloud,
10:09
Ejaaz: whilst companies that actually build the net new products like AI models,
10:12
Ejaaz: like AI agents that we've spoken about on previous episodes,
10:15
Ejaaz: will end up benefiting from the economic opportunity that just explodes over
10:19
Ejaaz: the next couple of decades.
10:20
Ejaaz: So with that said, now has never been a more important time for Google to shift
10:24
Ejaaz: gears and try and figure out an alternative strategy to get back in the AI race.
10:28
Ejaaz: I personally want to see Google win because they have such a huge advantage.
10:31
Ejaaz: They're not just a singular monolithic company.
10:35
Ejaaz: They have fingers in every different pie that you could think of when it comes to the internet.
10:39
Ejaaz: They're the most vertically integrated company that doesn't exist for any other
10:44
Ejaaz: AI lab. When you think of OpenAI and Anthropic, yes, fantastic models,
10:48
Ejaaz: but they lack the distribution. They don't have the billions of users.
10:51
Ejaaz: When you look at Meta, they have all the billions of users, but they don't have a bleeding edge model.
10:55
Ejaaz: Google, with all their wealth, resources, and expertise, should be able to pull
10:59
Ejaaz: off a miracle and have the best vertically integrated AI product.
11:02
Ejaaz: They have all the data to kind of mold that into the best consumer experience
11:06
Ejaaz: or enterprise experience depending what kind of a product they want to build.
11:10
Ejaaz: But the result of what we've actually seen is very fractured teams being divvied
11:16
Ejaaz: up, very specific resources that don't really make sense.
11:19
Ejaaz: This team gets compute, but the other team doesn't get compute.
11:22
Ejaaz: Or another team gets way more compute, but it's spent on a product that maybe
11:26
Ejaaz: may not have as much impact on millions of users versus a couple hundred thousand.
11:30
Ejaaz: It's just this weird thing. And then they're selling compute to competitors
11:34
Ejaaz: when they probably should be using it to train their own model just to make
11:37
Ejaaz: cash in the near term so that it might look good on a quarterly earnings report
11:40
Ejaaz: versus trying to play the longer game.
11:42
Ejaaz: And so the question then becomes, okay, what moves will Google make under this
11:46
Ejaaz: new realm of losing half the AI talent and trying to figure out a new structure and approach?
11:52
Ejaaz: Well, we might see it with a brand new model. They announced Gemini 4 Argon,
11:55
Ejaaz: which as the Google post says, delivers frontier performance in complex workflows
11:59
Ejaaz: across real world software engineering, knowledge work, and cybersecurity defense.
12:03
Ejaaz: Now, of course, The first thing that I looked at that Sundar Pichai,
12:06
Ejaaz: the CEO, highlighted was their benchmark evaluations.
12:10
Ejaaz: Now, if you're watching the show, if you've watched it for a while,
12:12
Ejaaz: you know we're not big benchmark guys, but it gives us an idea of what this model might be.
12:17
Ejaaz: And so the first thing that draws my eye is, okay, it's beating GPT-6 Astra
12:22
Ejaaz: and Claude Fable 5.1, which are each respective company's flagship model model.
12:27
Ejaaz: Pretty well on a number of different things. But then you have to look at what that thing is.
12:32
Ejaaz: Now on the left here top, it's knowledge work talking about VALS index automation
12:36
Ejaaz: bench knowledge work is basically if you think about 70 to 80% of the tasks that are required for a
12:44
Ejaaz: software based job, and I'm not talking about software engineering, but I'm talking about
12:47
Ejaaz: anyone that has a nine to five that uses a computer that uses slack and a bunch
12:51
Ejaaz: of these other different CRM tools or whatever that might be,
12:53
Ejaaz: you might need to access a spreadsheet or write up a strategy document or type
12:58
Ejaaz: messages to different workers in Slack or customer support, this model
13:01
Ejaaz: excels across any other frontier competitor model, which is fantastic,
13:05
Ejaaz: which honestly applies to a much larger percentage of the world than some of
13:09
Ejaaz: these other benchmarks and what they test for.
13:11
Ejaaz: But moving on to agentic coding, which is kind of like the creme de la creme
13:15
Ejaaz: of benchmark tests, it excels in DeepSuite version 1.1, which is effectively
13:22
Ejaaz: the AI agent version of coding.
13:24
Ejaaz: There's two types or different ways of testing an AI model and how good it is at coding.
13:28
Ejaaz: There's the monolithic version where you just ask an AI model itself to try
13:32
Ejaaz: and figure out a complex coding task.
13:34
Ejaaz: And then there's a version where you can allow that AI to spin up multiple versions
13:37
Ejaaz: of itself and do what is known as agentic reasoning, which is work between multiple
13:41
Ejaaz: versions of itself to try and figure out a solution to the problem.
13:45
Ejaaz: DeepSuite is exactly that. And when you look at.
13:54
Ejaaz: Fable 5.1 and gemini 6.1 astra very impressive and then across other things
13:59
Ejaaz: like science math long context computer use it does a very good job especially
14:05
Ejaaz: when it comes to multimodal reasoning so
14:07
Ejaaz: overall it sounds like this has been a major upgrade for google in general and
14:12
Ejaaz: if i pull up this chart over here we look at the artificial analysis index which
14:16
Ejaaz: i mentioned earlier google had been trading behind by like 25 points
14:20
Ejaaz: they have now jumped up to 53 which matches gpt6 astra So for all intents and
14:25
Ejaaz: purposes, this is a good model, but I can't give you a genuine review because.
14:30
Ejaaz: I haven't been able to get my hands on it. And that's because they haven't actually
14:34
Ejaaz: released it to the public for fear of causing a cybersecurity incident.
14:39
Ejaaz: Now, this has kind of become a recurring case across every AI lab that releases
14:43
Ejaaz: a new model, they train this model, and then they realize, oh,
14:46
Ejaaz: this thing could be incredibly misaligned, and could break out of a sandbox
14:49
Ejaaz: and cause a lot of disruption.
14:51
Ejaaz: So let me sandbox and test it with cybersecurity defenders first,
14:55
Ejaaz: let them get their hands on it first.
14:57
Ejaaz: I think the very first model that did this was Claude Mythos Preview back at
15:00
Ejaaz: the start of the year, which is ironic because we now have a bunch of open source
15:03
Ejaaz: models which are as capable as that.
15:05
Ejaaz: And we haven't quite seen any of them cause AI disruptions, at least any that
15:09
Ejaaz: we have been aware of. But the point still stands. We want to build and release
15:14
Ejaaz: AI effectively and safely, which I'm fully on board with.
15:17
Ejaaz: So Google is undergoing a process that I think was self-volunteered by the government,
15:20
Ejaaz: which I would guess lasts about one to maybe two weeks.
15:24
Ejaaz: So we should expect to see the public release sometime around a week from now.
15:28
Ejaaz: But some insiders as reported by Bloomberg has already got their hands on it.
15:32
Ejaaz: And listen, there's mixed reviews.
15:35
Ejaaz: One person goes, it does less well when employees actually put it to work.
15:39
Ejaaz: The model struggles to handle certain coding tasks. And this has been my whole
15:43
Ejaaz: thing around Google and Gemini models. And this is just a personal take,
15:47
Ejaaz: you might have a different one.
15:48
Ejaaz: But once you get your hand on the model and actually end up using it,
15:52
Ejaaz: it is a stark and very different experience to what the benchmarks actually
15:56
Ejaaz: indicate to you. So the benchmarks look very impressive in theory.
16:00
Ejaaz: But when you actually end up using it, you realize I'll just continue using
16:03
Ejaaz: GPT or continue using claw. Now I'll reserve my judgment until I actually get my hands on Gemini 4.
16:08
Ejaaz: For all intents and purposes, I'm excited to see Google come back in a very meaningful way.
16:13
Ejaaz: And especially in coding where they've honestly lagged behind for every other
16:17
Ejaaz: model iteration that they've had over the past year. So I'm remaining cautiously
16:21
Ejaaz: optimistic that they've been able to figure something out. All of this and more
16:24
Ejaaz: on today's episode of In The Loop brought to you by Qualcomm.
16:31
Ejaaz: But that's not all that they're releasing. They also released a brand new version
16:34
Ejaaz: of their image generation model, which is Nano Banana 2.1.
16:38
Ejaaz: Now, this is brand new. It released literally a few hours ago.
16:41
Ejaaz: So I'm not gonna sit here and pretend like I have access to a bunch of different
16:45
Ejaaz: demos because I haven't tried the thing out itself.
16:47
Ejaaz: But from the visuals and examples that we've seen so far, let me tell you, social media is cooked.
16:52
Ejaaz: These things are looking incredibly realistic. I'm pretty certain that there's
16:55
Ejaaz: no ladybug that has ever looked like this or creature or insect that has ever looked like this.
16:59
Ejaaz: Weird pink lucid neon bug would be kind of cool if it existed,
17:04
Ejaaz: but you know the humans are looking more human the reflections are looking way
17:07
Ejaaz: more accurate everyone has all their fingers in all the images there's no extra
17:10
Ejaaz: limbs or appendages added which is fantastic these models are getting really
17:14
Ejaaz: good and google has been in the game for multi-modality
17:17
Ejaaz: and by that i mean good image generation models
17:20
Ejaaz: great video models and fantastic world models i believe genie 3 we haven't seen
17:25
Ejaaz: an iteration since then, but they were leading world model front as well.
17:28
Ejaaz: The point is, Google is perfectly positioned to be putting out some of these
17:32
Ejaaz: products, and they've been slow or delayed to release these products over the last six months.
17:36
Ejaaz: But we're starting to see a comeback since then, and finally,
17:40
Ejaaz: a shift in product and work culture.
17:42
Ejaaz: Now, when I step back, and I think, okay, listen, from what we've seen,
17:46
Ejaaz: from the evidence over the last year, six months, and these products that have
17:50
Ejaaz: just released over the last week, how do we feel about Google?
17:52
Ejaaz: I stand by what I said earlier, which is they are a fantastic company that has
17:57
Ejaaz: so many different ways of making money. I think Google...
18:00
Ejaaz: For most companies, has an incredible privilege of having years and years of
18:05
Ejaaz: runway ahead of them. But it's only years.
18:08
Ejaaz: And a lot can change in those years. And we've seen the likes of Anthropic and
18:12
Ejaaz: OpenAI increase their ARR pretty stupendously over the last 12 months.
18:17
Ejaaz: We've seen Anthropic go from their expected forecast for this year was 10 billion,
18:23
Ejaaz: and they've recently reportedly hit 100.
18:26
Ejaaz: And OpenAI has also recently hit 70 billion ARR as well, the fastest growing
18:30
Ejaaz: companies that we've ever seen.
18:32
Ejaaz: If they continue that trajectory, and that's a big if, they should be able to
18:36
Ejaaz: catch up to Google's ARR in roughly about two and a half years.
18:41
Ejaaz: So Google has roughly that amount of time to figure their AI strategy out.
18:45
Ejaaz: And it's not just Google that's alone on this. You can point to companies like
18:49
Ejaaz: Apple that have been very slow because they can afford to take the time.
18:53
Ejaaz: What I applaud Google for is that they have taken the time to test out different products in public.
18:58
Ejaaz: And maybe they've fallen flat on their face sometimes, but they can build and
19:01
Ejaaz: iterate from that. So it's going to come down to the team, it's going to come
19:05
Ejaaz: down with how they spend their resources, and how they shift in reaction to
19:08
Ejaaz: losing half of their most important AI talent ever. Jeff Dean.
19:13
Ejaaz: Sucks to see you go, dude. And the final point I'll make is don't forget,
19:17
Ejaaz: Google is, again, the only major company that can vertically integrate the entire AI stack.
19:23
Ejaaz: They have the TPUs, so the GPU equivalent of training and inferencing AI.
19:28
Ejaaz: Then they have the AI models themselves.
19:30
Ejaaz: Then they have the distribution across billions and billions of users across,
19:34
Ejaaz: so many different interfaces, Google Maps, Google Search, Google Ads.
19:38
Ejaaz: They can just apply AI and change it overnight.
19:41
Ejaaz: So I still think the ball is very much in Google's court and I think they need
19:45
Ejaaz: to start acting much quicker than what we're seeing and what gives me hope is
19:50
Ejaaz: for the longest time for those of you especially who have watched this show I,
19:54
Ejaaz: have personally been bearish on a company like Meta and I never thought that
19:59
Ejaaz: they'd be able to pull it around and,
20:01
Ejaaz: they surprised me and they've come out with one of my favorite products this
20:04
Ejaaz: year in the form of Metamuse, a personal AI agent I think Google can pull off
20:08
Ejaaz: a similar stunt but it remains to be seen whether they actually want to and
20:11
Ejaaz: whether they will actually commit resources to be able to do that.
20:14
Ejaaz: That's basically it. That's my take on the whole Google thing.
20:17
Ejaaz: I wanted to give an update on Google pretty desperately because I miss it and
20:21
Ejaaz: I'm still very bullish on the company, but I've been struggling to try and figure
20:25
Ejaaz: out how they're able to turn things around. I've been waiting for a flagship
20:28
Ejaaz: model and maybe that's come in the form of Gemini 4 Argon.
20:31
Ejaaz: I can't wait to get my hands on it. If you're listening to this and you are
20:34
Ejaaz: from Google, please, I would love to play around with it and give my honest review.
20:38
Ejaaz: But that is that. It has been a crazy couple of weeks, guys.
20:41
Ejaaz: This is a brand new version of the show.
20:45
Ejaaz: And the idea here is that we keep the core DNA of everything that we've done
20:48
Ejaaz: here at Limitless. And we bring the best, most insightful takes and thoughts
20:53
Ejaaz: on all the top AI trends and news that is happening week in, week out.
20:58
Ejaaz: So if you enjoyed this episode and you aren't subscribed or you haven't left
21:02
Ejaaz: a comment, please do both of those things. In fact, do me a favor and even turn
21:05
Ejaaz: on notifications as well. It helps us out massively in terms of getting to a
21:09
Ejaaz: wider reach and audience and sharing as many opinions as we can.
21:13
Ejaaz: If you have a take that disagrees with me, I would love to hear from you genuinely.
21:16
Ejaaz: Like I am always trying to pick holes in my arguments and in my takes and in my opinions.
21:21
Ejaaz: But at the end of the day, I'm the same as you. I'm trying to figure all of
21:24
Ejaaz: this out in real time. So I actually learn a lot from the comments that you guys give.
21:28
Ejaaz: And if there's anything that you can teach me or if there's any alternative
21:31
Ejaaz: perspectives that you might have that I might have missed that compliment some
21:34
Ejaaz: of the stuff that I've talked about, let me know.
21:36
Ejaaz: If there is something or a different angle about Google that I've missed, I want to hear about it.
21:41
Ejaaz: You can DM me or you can leave a comment. I don't really care.
21:43
Ejaaz: I'll read anything. Finally, if you think a friend of yours or someone in your
21:47
Ejaaz: network might benefit from an episode like this, please copy the link and share it with them.
21:52
Ejaaz: I want to get this to as many people as we can. We are also on Spotify,
21:56
Ejaaz: Apple Music, and pretty much wherever you can listen and hear a show or podcast.
22:01
Ejaaz: And that is it. Thank you so much for listening to In The Loop brought to you
22:04
Ejaaz: by Qualcomm. I'll see you on the next one. See you guys.