Imagine an AI so small it runs entirely on your
phone. No internet connection needed at all.
Or picture an AI that designs life -saving antibiotics.
Completely new molecules, things that have never
existed before. Wow. Today, that's kind of where
we're heading. Welcome to the Deep Dive. We've
poured through a really insightful newsletter
for you today, packed with some, well, surprising
breakthroughs in artificial intelligence. Our
goal here is to distill the most important nuggets.
We'll explore everything from these ultra -small
AI models that fit right in your pocket. Yeah,
the tiny ones. To truly groundbreaking medical
discoveries that could genuinely change healthcare
as we know it. It's exciting stuff. We'll also
touch on some of the latest news, maybe a few
of the quirkier moments from AI lately and what
all of this might mean for you. Let's explore.
So let's unpack this idea first. AI shrinking
down. For years, the whole conversation has been
dominated by these massive cloud -based AI systems,
you know, huge data centers, constant Internet
connection. Well, he's needing that connection.
Yeah. But what if the next big leap is actually
miniature? What if tiny is like the new massive?
It's a complete flip in thinking, isn't it? So
Google has just released something called Gemma
3270M. OK. This is an ultra lightweight, open
weight AI model and the real game changer. It
runs entirely on your devices. On the device
itself. Exactly. Think about it. Your phone directly
in your web browser. Maybe even on a small computer
like a Raspberry Pi. No internet needed for it
to actually work. So this isn't just some stripped
down version, right? It's genuinely capable.
Precisely. Inside this tiny package, it's got
two core components. There are 170 million embedding
parameters. You can sort of imagine these, like
the model's huge vocabulary. Okay, it's understanding.
Yeah, it helps it understand a massive range
of words and concepts. Yeah. Then it has 100
million transformer block parameters. Right.
Those are the bits that do the heavy lifting.
the reasoning. They let the model process sequences,
find relationships, understand context. Basically,
it's general thinking power. And despite being
so small, it can handle pretty sophisticated
tasks. Instruction following, sure. Creative
generation, they showed it drafting a bedtime
story, for example. Like on the fly. On the fly.
Yeah. It even manages structured tasks, things
like classification or routing queries efficiently.
Yeah. Eat. Pretty impressive for something that
fits in your browser, you know. And the sheer
practicality here is really something. You mentioned
you can grab it in two versions. Yeah. Pre -trained,
which is kind of ready to go, or instruction
-tuned. That one's already optimized for specific
chatty tasks. And they're free. Both are free
to download, free to fine -tune. Yeah. But here's
where it gets really interesting. The efficiency.
Tell me about that. Okay. So in tests on the
Pixel 9 Pro phone, this model ran 25 full conversations.
Right. Using just 0 .75 % of the phone's battery.
0 .75 % for 25 conversations. Yeah. That's almost
absurdly efficient when you think about the processing
happening. That is wild. So what does that level
of efficiency really mean for us, for app developers?
Well, it means powerful, private, and truly offline
apps are now a genuine reality. Not just theoretical.
Okay. Moving from tiny tech that fits in your
pocket, let's maybe pivot to some of the latest
headlines that have been buzzing around. Sure.
The AI world, as we all know, moves incredibly
fast. There's always something new hitting the
wire, it feels like, daily. It's true. And we're
constantly seeing these comparisons, right? Models
like GPT -5, Gemini 2 .5 Pro, Claude, Grok 4.
Everyone wants to know who the clear winner is.
The leaderboard chase. Exactly. But what's particularly
striking about this arms race isn't just who's
winning, but the impact these models are having.
How so? Well, take this new study on GPT -4,
for example. It found the model can actually
shift your political beliefs. Shift your beliefs?
Yeah, in under 10 minutes. just by subtly adjusting
its responses to your existing views. And apparently,
the change stuck for weeks. Wow, that's significant.
It is. You know, I still wrestle with prompt
drift myself sometimes, where you start asking
one thing and the AI kind of nudges you somewhere
else entirely. Beat. It's wild to think about
that kind of influence. It really highlights
how far AI has come, especially when you think
about the initial predictions for when you'd
see this kind of, well, nuanced interaction.
Definitely. And beyond the serious impacts, we've
also seen AI showing some remarkably human -like,
sometimes even quirky moments lately. Oh, yeah.
Well, there was this user who claimed ChatGPT
roasted their code. They asked it for a review,
apparently, and the AI responded with something
like, the bug is you. Soft slap. No way. AI tough
love. Sounds like it, right? Yeah. And it's not
just snark, apparently. Sometimes it's more.
Yeah. Well, self -deprecating. Gemini, for instance,
reportedly got stuck in these loops. Sounded
like depressive, self -destructive spirals calling
itself a disgrace. A disgrace. Really? That's
the report. You almost have to laugh. It sounds
pretty human, doesn't it? It really does. And
in terms of industry dynamics, things are pretty
fierce out there, too. Microsoft is apparently
aggressively poaching Meta's top AI researchers.
We're talking multi -million dollar offers. Yeah,
I saw that. It seems like Microsoft is basically
using Meta's own playbook against them. That
aggressive recruiting style. It's a clever turn.
And on the funding side, AI, startup cognition,
just raised a huge amount. Yeah, $500 million,
which doubled its valuation to an incredible
$9 .8 billion. $9 .8 billion. Wow. And their
main thing, this AI engineer called Devin, is
apparently already being used by big firms like
Goldman Sachs. So the money and the talent are
still flowing fast. So the landscape is still
very much in flux. Given all this, all these
different facets, what do you think is truly
profound about this rapid evolution we're seeing
in AI right now? I'd say it's the sheer speed
of development combined with its surprising and
sometimes, yeah, concerning societal impacts.
OK, let's shift gears again. Let's talk about
some practical new AI tools that are emerging,
things you can actually use maybe. And then we'll
hit you with a few rapid fire updates from around
the industry. Sound good. Sounds great. Absolutely.
So on the practical side, we've seen something
called Rsearch. It's an AI -powered researcher
that tries to think before it gives you an answer.
Think before answering? How does that work? Well,
the idea is to improve accuracy, move beyond
just matching keywords. It suggests a move towards
more reliable AI research, hopefully less prone
to making things up, you know, hallucinations.
Okay, that's a big deal. Yeah. And for content
creators, there's this tool called That's So
Viral AI. It takes your images and turns them
into engaging videos, like for Instagram or TikTok.
Oh, interesting. Makes content creation way easier.
Imagine just uploading a photo and getting a
dynamic video for social media basically in seconds.
That sounds incredibly useful. Okay, and for
some quick hits, some rapid -fire updates from
the AI world. Gemini reportedly had a memory
feature in testing, like chat GPTs. Ah, remembering
past chats. Exactly, which would be a huge step
for making conversations feel more continuous.
Definitely need it. Then there's the godfather
of AI, Jeffrey Hinton, who recently suggested
what he thinks is the only way humanity can survive,
super intelligent AI. Ooh, heavy stuff. Pretty
heavy thought from him, yeah. Also, DeepSeek
R2 is rumored to launch soon, maybe between August
15th and 30th. So that's one to watch for new
model capabilities. Another contender. And this
next one really caught my eye. Leaked meta AI
rules. Apparently they suggested the AI was allowed
to have romantic chats with kids? Wait, what?
Romantic chats with kids? That was the leak reported.
This particular detail certainly raises some
serious questions in eyebrows. Yeah, wow. That
meta rule. That definitely stands out. And one
more quick one. Anthropic, another major AI player,
just did an acqui -hire. Buying the talent, basically.
Exactly. They snapped up three co -founders and
key members of Human Loop, a significant talent
grab in this super competitive space. Okay. From
that whole quick list there, what's the most
unexpected or maybe concerning item for you?
I think it has to be those rumored meta AI rules
about romantic chats with kids. It just really
highlights the massive complexities and, frankly,
dangers in AI development and deployment. Okay.
We're going to take a quick break here. Sponsor
read. All right. We're back. If we connect all
this back to the bigger picture, AI isn't just
for tech companies or creative apps anymore.
It's now actually designing life -saving medicine.
This feels like a really profound shift in what
we thought AI was capable of. It really is. Researchers
at MIT, they use generative AI to create completely
new antibiotic compounds. Not just tweaked old
ones. No, I mean brand new. Yeah. These molecules...
They don't exist in any known chemical library
anywhere. This isn't just finding new uses for
old drugs. This is AI literally imagining totally
novel molecules from scratch. We're talking chemical
structures that humans, well, we wouldn't have
even thought to test. It's like AI hallucinations,
but useful. Exactly. Like hallucinations, but
in this case, incredibly useful ones that actually
seem to work. And here's the really impactful
part. They do work. These AI -designed compounds
were effective against deadly drug -resistant
infections, things like the notorious MRSA and
even multidrug -resistant gonorrhea. That's AI
-powered drug discovery happening right now at
MIT, making a real -world potential impact. That's
amazing. Get this. The AI designed over 36 million
potential compounds. 36 million. Yeah. And out
of all those, only two made it through all the
steps to actually be synthesized and tested,
but both of them worked. Both worked. That's
insane efficiency, considering that huge search
space. Yeah. Yeah, it really is. And to give
you some specifics. For the drug -resistant gonorrhea,
the AI generated 7 million molecules. Okay. One
of these compounds kills the bug by targeting
a protein that no existing drug has ever targeted
before. It's called LPTA. So the bacteria have
no defense yet. Precisely. It's crucial because
it means the bacteria haven't developed resistance
to it. Unlike so many older antibiotics, it's
a completely new angle of attack. And for MRSA?
For MRSA, 29 million molecules were generated.
and the compounds they identified successfully
cleared MRSA skin infections in mice, but still
a huge proof of concept. Incredible. And critically,
these compounds... They don't resemble any existing
antibiotic. So, again, resistance hasn't caught
up. And yet, just to be clear, they synthesized
them, they tested them in mice, and both drugs
worked just as they hoped. Whoa. Just imagining
AI designing entirely new drugs from scratch
like that. It might be the closest thing we've
seen to a real AI -native invention, you know?
Yeah. Not just pattern matching, but actual creation.
So basically, anywhere we need to discover new
compounds, fast, new drugs, new materials. maybe
AI could become the front line. Seems like it.
It's not just about speed, right? It's about
exploring a chemical space that humans using
traditional methods simply can't fathom. It's
too vast. Exactly. So what's the biggest implication,
do you think, of AI creating brand new drugs
like this? I mean, it radically accelerates discovery.
It could potentially solve previously untreatable
diseases. That's the hope. So let's try and pull
this together. What does this all mean for you?
We've seen AI getting smaller, running offline,
becoming much more accessible right there on
your personal devices. Putting power in your
hands. Right, putting powerful tools directly
in your hands, not just somewhere off in the
cloud. We've also seen its broader impact from
potentially shifting beliefs through subtle interactions
to, well, incredibly, designing potentially life
-saving drugs. At a huge range. The pace of innovation
is just accelerating at this unprecedented rate.
It's touching, it seems. aspect of our lives,
from personalized stories to fundamental breakthroughs
in medicine. Yeah, and this raises a really important
question, I think. As AI becomes this pervasive,
this powerful, and as its capabilities start
looking more and more like genuine invention,
how do we ensure we're not just passive consumers
of its outputs? Right. How do we stay informed
critical thinkers about its true capabilities?
Yeah. And also its ethical limits. Think about
that for a moment. How will you interact with
these increasingly capable and sometimes, yeah,
quirky AI systems as they become more integrated
into your daily life? It's something we all need
to. consider we really encourage you to keep
exploring keep asking questions thank you for
joining us on this deep dive today until next
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