AI News : Gpt4o - Mini CRUSHES Claude, Sam Altman's Aggressive New plans , 3 Years Left Until AGI
Summary
TLDRThe transcript discusses the release of GPT 40 mini by Open AI, a cost-effective AI model that promises to democratize AI applications by being more affordable than its predecessors. It outperforms GPT 4 in chat preferences and supports text and vision, with plans for future image, video, and audio capabilities. The script also touches on the rapid advancement of AI, with industry insiders predicting a 'universal agent' by 2027, and the potential for AI to revolutionize various sectors, including entertainment, as showcased by an AI-generated TV show clip.
Takeaways
- 🚀 Open AI has released GPT 40 mini, a cost-efficient model that could significantly expand AI applications by making AI intelligence more affordable.
- 💬 GPT 40 mini scores 82% on the MMLU and outperforms GPT 4 in chat preferences, making it a strong contender in the chatbot arena.
- 💰 The pricing for GPT 40 mini is 15 cents per input token and 60 cents per million output tokens, which is significantly cheaper than previous models.
- 📈 The release of cost-efficient AI models like GPT 40 mini could enable more widespread deployment of AI products, overcoming the barrier of high costs.
- 🔍 GPT 40 mini supports text and vision in the API, with plans to include image, video, and audio inputs and outputs in the future.
- 📊 In model evaluation scores, GPT 40 mini surpasses other smaller models like Gemini Flash and Claude Haiku in various benchmarks, indicating its superior cost-effectiveness.
- 🌐 The potential for AI to evolve rapidly is highlighted by industry insiders, with some predicting that we could be as little as three years away from a universal AI agent.
- 🏛️ Trump's allies are reportedly drafting an AI executive order to advance US interests in AI technology, potentially leading to a Manhattan Project for AI military tech.
- 💡 Open AI is exploring the development of a new AI chip, which could provide leverage in future negotiations with chip suppliers like Nvidia.
- 🎥 AI-generated content is demonstrating its potential in entertainment, with examples like an AI-generated TV show showcasing the future possibilities for solo creators.
Q & A
What is the significance of the release of GPT 40 mini by Open AI?
-GPT 40 mini is a cost-efficient AI model that replaces GPT 3.5. Its release is significant because it makes AI intelligence more affordable, expanding the range of applications that can be developed without the high costs previously associated with AI models.
How does GPT 40 mini compare to GPT 3.5 in terms of cost and efficiency?
-GPT 40 mini is priced at 15 cents per input token and 60 cents per million output tokens, making it 60% cheaper than GPT 3.5 turbo. This cost reduction, combined with its increased reliability and intelligence, makes it a more attractive option for deploying AI applications.
What is the MML U score of GPT 40 mini, and what does it indicate?
-GPT 40 mini scores 82% on the MML U, which is a measure of AI performance. This score indicates that GPT 40 mini outperforms GPT 4 in chat preferences and chatbot arenas, demonstrating its effectiveness in conversational AI.
What are the potential applications of GPT 40 mini in terms of tasks and latency?
-GPT 40 mini enables a broad range of tasks with low-cost latency, making it suitable for applications that require multiple model calls, such as calling multiple APIs, processing large volumes of text, or interacting with customers through fast real-time responses like customer chatbots.
What additional capabilities does GPT 40 mini support beyond text?
-While GPT 40 mini currently supports text and vision in the API, it is expected to support image, video, and audio inputs and outputs in the future, further expanding its utility in various applications.
How does GPT 40 mini compare to other models like Gemini Flash and Claude Haiku in terms of cost-effectiveness and size?
-GPT 40 mini surpasses Gemini Flash and Claude Haiku in terms of cost-effectiveness and size on the MML U, indicating that it offers more intelligence for a lower cost and in a smaller model size.
What is the potential impact of GPT 40 mini on the AI ecosystem?
-The release of GPT 40 mini could lead to a proliferation of AI applications as its affordability allows more developers and businesses to deploy AI solutions without the financial barriers associated with previous models.
What are the implications of the AI timeline discussed by industry insiders like Misha Lasin?
-Misha Lasin, a former Google DeepMind employee, suggests that we are three years away from a digital AI that resembles a universal agent. This timeline indicates a rapid acceleration in AI development, potentially leading to breakthroughs and more capable systems in the near future.
What is the potential impact of Trump's allies drafting an AI executive order?
-The draft executive order could lead to the creation of industry-led agencies to study and protect AI models from foreign powers, strengthen American leadership in AI, and potentially limit the government's use of AI in high-risk situations. This could significantly influence the direction and pace of AI development in the United States.
What is Open AI's strategy in developing a new AI chip, and why is it significant?
-Open AI is reportedly developing a new AI server chip, potentially rivaling those made by Nvidia. This move could provide Open AI with leverage in future pricing negotiations and reduce dependence on external chip suppliers, though it is a long-term and challenging endeavor.
How does the AI-generated TV show 'Unanswered Oddities' demonstrate the potential of AI in entertainment?
-The AI-generated TV show 'Unanswered Oddities' showcases how AI can be used to produce creative content, potentially enabling solo creators to produce full-fledged TV shows that would otherwise be inaccessible. This indicates a future where AI plays a significant role in the entertainment industry.
Outlines
🤖 GPT 40 Mini: Affordable AI Intelligence Breakthrough
The script discusses the release of GPT 40 Mini by Open AI, a cost-efficient model designed to replace GPT 3.5. This new model is expected to expand AI applications by making AI more affordable. GPT 40 Mini scores 82% on the MMLU, outperforming GPT 4 in chat preferences and chatbot leaderboards. Priced at 15 cents per input token and 60 cents per million output tokens, it is significantly cheaper than previous models. The script highlights the potential for deploying more AI products cost-effectively and the implications for software development and AI applications. GPT 40 Mini also supports text and vision in the API, with future plans to include image, video, and audio inputs and outputs. The model's evaluation scores show a stark improvement over previous models in terms of cost-effectiveness and capabilities.
🚀 Accelerating AI Timelines and Potential Military AI Initiatives
This paragraph explores the AI timeline, with insights from industry insiders suggesting that we are three years away from a digital AI, or a universal agent with broad and deep knowledge. The rapid advancement in AI, as seen with AlphaGo, is compared to the potential acceleration towards human-level AI. The script also mentions plans by Trump's allies for an AI executive order, which would include the creation of industry-led agencies to study AI models and protect them from foreign powers. This initiative aims to strengthen American leadership in AI and includes programs to study harmful AI in healthcare practices. The discussion underscores the urgency and potential impact of AI advancements on various sectors.
💼 Open AI's Chip Development and AI's Future Economic Impact
The script discusses Open AI's co-founder Sam Alman's venture into developing a new AI chip, potentially rivaling Nvidia's market dominance. Alman has been hiring former Google unit members who produced Google's AI chip, the Tensor Processing Unit, and is reportedly developing an AI server chip. This move could provide Open AI with leverage in future pricing negotiations with chip suppliers. The potential for AI to reshape the chip market and the economic implications of AI advancements are highlighted, with a focus on the long-term vision of AI development and its impact on industries like entertainment and healthcare.
🎬 AI-Generated Entertainment: The Future of TV Shows
The final paragraph showcases an AI-generated TV show, demonstrating the potential of AI in the entertainment industry. The script describes an episode of 'Unanswered Oddities,' which explores the mystery of humans, suggesting that AI can enable solo creators to produce full-fledged TV shows. The script emphasizes the creative possibilities opened up by AI, transforming the way content is produced and consumed. While the script clarifies that the content was written by a human with AI production, it invites viewers to explore the original creation, highlighting the potential for AI to revolutionize entertainment.
Mindmap
Keywords
💡AI Releases
💡GPT 40 Mini
💡Cost Efficiency
💡MMLU
💡Chatbots
💡API
💡Benchmarks
💡Universal Agent
💡AI Timeline
💡Manhattan Project for AI
💡AI Chip
Highlights
Open AI released GPT 40 mini, a cost-efficient replacement for GPT 3.5.
GPT 40 mini is expected to make AI intelligence more affordable and expand the range of applications.
GPT 40 mini scores 82% on the MML U and outperforms GPT 4 in chat preferences.
The new model is priced at 15 cents per input tokens and 60 cents per million output tokens, making it significantly cheaper than previous models.
GPT 40 mini enables a broad range of tasks with low-cost latency and supports text and vision in the API, with plans for image, video, and audio inputs/outputs in the future.
GPT 40 mini is compared to smaller models from other AI companies, showing a stark jump in capabilities.
GPT 40 mini surpasses previous state-of-the-art models in cost-effectiveness and size on various benchmarks.
Industry insiders predict that we are three years away from a digital AI with universal capabilities.
Trump's allies are reportedly drafting plans for an AI executive order to advance US interests in AI technology.
The proposed AI executive order includes the creation of industry-led agencies to study and protect AI models from foreign powers.
Open AI is in talks with Broadcom about developing a new AI server chip, potentially rivaling Nvidia's market position.
Open AI's co-founder discusses the future of evolving AI and the implications of multiple AIs competing for resources.
AI-generated software is enabling solo creators to produce full-fledged TV shows that would otherwise be inaccessible.
An example of AI-generated entertainment is a TV show called 'Unanswered Oddities', showcasing the potential of AI in content creation.
The TV show 'Unanswered Oddities' was written by a human but produced with AI, indicating a future of streamlined content creation.
The potential for AI to automate TV show production could change the entertainment industry, enabling more creators to produce high-quality content.
Transcripts
so there were actually a few big AI
releases including one from open AI so
let's get into some of the news that you
might have missed one of the first
stories that I was actually quite
surprised by was GPT 40 mini advancing
the cost effective intelligence for AI
open AI actually released GPT 40 mini
which is basically a replacement for GPT
3.5 so you can see that yesterday they
essentially announced GPT 40 mini which
is their most cost efficient small model
they actually expect the GPT 40 mini
will significantly expand the range of
applications by making AI intelligence
much more affordable one of the most
surprising things about GPT 40 mini was
that it scores 82% on the MML U and
currently outperforms GPT 4 on chat
preferences in the chatbot Arena or the
LMS leaderboard the price of this system
is actually relatively cheap considering
the fact that the cost of intelligence
has been decreasing rapidly it's priced
at 15 cents per input tokens and 60
cents per million output tokens and an
order of magnitude more affordable than
previous Frontier models and 60% cheaper
than GPT 3.5 turbo now the reason I
think this is such a game-changing
statement and most people won't realize
the significance of such a release is
the fact that when small cost efficient
models are released very cheaply this
allows the AI ecosystem to deploy more
products cost effectively one of the
biggest problems preventing many people
from deploying GPT applications and from
many people actually using chat GPT or
other AI systems is the fact that is
just too expensive if you've ever tried
to build something with AI the problem
is is that the cost per output just
racks up an insane bill that you really
can't afford to justify having your
software or whatever AI system it is but
with GPT 40 mini you're actually not
compromising on the intelligence of your
model or the cost of your model so
you're getting a reduction in price and
an increase in the reliability and of
course the intelligence of the model
which means that now if there's some
kind of software development or some
kind of application that you previously
couldn't find a reason to justify
spending that amount of money or you
actually losing money this might not be
the case and I think this shows us an
indication of the further Trend in the
industry of what's to come now what they
also talk about is how GPT 40 mini
enables a broad range of tasks with
lowcost latency and applications that
chain or paralyze multiple model calls
for example calling multiple apis is
passing a large volume of text for
example a full codebase or conversation
history or to interact with customers
through fast real-time responses for
example customer chatbots now what's
really cool about this is that it
currently supports text and vision in
the API and it does say that image video
and audio inputs and outputs are going
to be coming in the future that I think
is going to be the real game changer for
this model now something that was
actually really interesting was if we
take a look at the model evaluation
scores now what they've done is they
haven't actually compared this to other
Frontier models they've actually
compared this to other models that are
actually smaller in size basically
comparing them to the respective similar
models from the other AI companies so
what we can see here GPT 40 mini is
compared to Gemini flash Claude Haiku
and of course the predecessor GPT 3.5
turbo we can see that it is a stark jump
in terms of all of the capabilities
because GPT 3.5 just simply didn't
compare to Gemini Flash and Claude Haiku
but overall what we can see here in a
rather surprising term of events is that
GPT 40 mini clearly surpasses the
previous state-ofthe-art models in terms
of their cost Effectiveness and their
size on the MML U it surpasses Gemini
Flash and clae haiku on the drop
benchmarks on the gqa on the mgsm on the
math benchmark surprisingly we can see
that there is a huge Improvement in
terms of what you get for cost
Effectiveness compared to these other
models in the human Eva that's also the
case and in the mmu and in the math
Vista we can see that once again there
were also surprising benchmarks and
Gemini flash does actually manage to
beat GPT 40 mini there the point being
that it's clear that opening ey probably
did use a different method to train this
model because the effectiveness for the
size of the model although they didn't
actually state it shows us that we're
going to be getting a lot more
intelligence out of a lot faster systems
in the future and I do wonder how this
is going to look in the next 2 years
with respect to what intelligence level
we can get per cost per input now if you
do want to you can actually use GPT 4
mini today but for example just to show
you the relative speed of this I said
can you list me 20 food items that was
insanely quick and I'm going to do a
video later on the actual applications
of this because I think most people Miss
what you can actually do with such a
model but this is going to be something
that I'll be diving into later because
it is really effective with what you can
do when a model can respond that quickly
with a level of intelligence that's
rather effective we're all very hungry
maybe that's uh how I put it you know we
could have yest and I could have and
tried um pushing agents um you know at
Deep Mind and as I said I think you know
the reason we decided to do it in our
own way is because we we think we can
move quickly much faster against this
goal some of this urgencies is driven by
a a real belief that we are we are three
or so years away from something
that resembles a a digital AI um and by
that that's um that's what I've been
referring to as universal agent Su has
both this kind of bread and depth of
knowledge
and that means we're actually on a very
accelerated timeline um yeah you're you
know few months in you're kind of 5%
away from uh from hitting that timeline
and maybe some of this is also driven by
how quickly alphago went um
from experts in the field doubting this
is possible yeah it's kind of decades
human level or like expert human level
goplay was decades away and how
effectively they were able to solve that
problem within months I think we're
seeing a similar kind of acceleration
happen so that was Misha lasin someone
who is previously working at Google
deepmind they went off to start their
own company and you can see that he's
speaking about the AI timeline and I
think it's always refreshing to kind of
hear what some of the industry insiders
actually think about the timelines
rather than you know a few Skeptics on
podcast that are just talking about AI
very briefly and when I say that I'm
talking about you know news anchors and
other things and of course I do think
that they are important for the
discussion getting it out into the wider
Community but what I don't think people
understand is that if the timelines are
as you know what we're looking at here
which is you know 3 years currently it's
2024 this would be 2027 this would Mark
I think around now the sixth or seventh
person that hails 20 27 to 2028 as the
time when we're going to be getting a
truly capable system that can actually
act and do things within the environment
now I think that that is a startling
Revelation because it shows us at the
rate at which AI is expected to increase
and the funny thing is that in the past
people have actually been wrong at how
quick these kind of systems have
advanced so we could even argue that
perhaps even these indications are
somewhat conservative now what that
means is that within the next five years
I do think that there is going to be so
many different breakthroughs on so many
different levels and we are going to be
getting more and more capable systems
out there but I do wonder if people are
ever truly going to realize what is
coming because the capabilities of these
systems are going to have some really
profound implications Beyond just fancy
chatbots and whilst those chatbots are
being developed and whilst obviously
other generally intelligent systems
being developed we're also going to see
a lot more money flowing into AI around
the space as well now as for those of
you who don't think that maybe AI is
going to be advancing as quickly as
former googlers think we can see here
that this is going to put even further
pressure on AI development as Trump's
allies are working on a plan to create
Manhattan projects for AI military Tech
so essentially Trump's allies are
reportedly drafting plans for an
executive order on AI basically if you
don't know Donald Trump is running to
become president again and it is very
likely that he will win this election
and right now all eyes are on his plans
for the largest developments with
artificial intelligence because of
course he has some unique ideas on where
things are going to go according to the
Washington Post several people close to
this former president are writing up an
AI executive order to advance us
interest in the technology it will
include the creation of industry-led
agencies that will study AI models and
protect them from foreign powers the
report said the framework also contains
a make America First in AI which aligns
L with the 2016 Trump Administration
comments to strengthening American
leadership in the field this order
demands that major tech companies
communicate the risks of the AI models
with the federal government and it also
limits the government's use of AI
systems in high-risk situations and
includes programs to potentially study
harmful AI in healthcare practices now I
do think this is going to happen anyways
as I've said before when these elected
leaders start to truly understand the
magnitude of what the potential of AI is
I don't think there's going to be any
question whether or not they are going
to be Manhattan projects popping up in
various parts of the world not just
America and I think that the research
landscape for AI could most definitely
change as we get to more and more
powerful system as in by 2030 Maybe by
2035 the level of research that we
seeing published in certain areas might
actually grind to a ho this doesn't mean
the level of innovation it just means
what we're publicly seeing and hearing
from some of the frontier Labs what's
also interesting is that it seems that
opening eye is continuing to talk to
broadc about developing a new AI chip
one of the major winners of the AI boom
was Nvidia they've gained a trillion
dollars in market cap and profited
heavily from the rise of artificial
intelligence considering the fact that
many people need these graphics cards to
train their models now we do know that
Sam Alman was doing this last year last
year he decided to start a new company
that could develop and produce a new AI
chip and help set up chip factories and
make them and data centers to house them
but now his plans have slightly changed
what he's been doing he's actually been
hiring former members of a Google unit
that actually produces Google's AI chip
the tensor processing unit and has
actually sought to develop an AI server
chip according to three people who have
been involved in the conversation and
he's also been talking to chip designers
including broadcom about working on the
chip according to certain people now
what's crazy about this is that it does
say here that a new server chip that
would rival the kind made by Nvidia is a
long shot that would take years to come
to fruition and in trying to develop a
chip opening eye risks upsetting and
open ai's most important chip supplier
but it could provide open AI with
potential leverage in future pricing
negotiations with the company now me
personally I'm not sure why open AI is
trying to do this maybe they're just
trying to do this because they realize
that one day they'll have super
intelligent Ai and then super
intelligent AI could inhouse push that
chip fabrication company forward and
they could have the best chips on the
planet I think that might be the play
here although it does sound a little bit
crazy and although it does seem like
that would be a very long-term plan I'm
pretty sure Sam Alman is a very
long-term thinker and the reason that I
do state that is because these AI chips
are actually really hard to design
there's a reason Nvidia is the market
leader it's because they're the very
best and have the entire infrastructure
the Integrations the Partnerships the
trade routes simply everything is in
their favor to be benefiting from the AI
boom you can see here that some people
don't even believe this he says but
alman's Factory expansions ambition
struck numerous Executives as improbable
because it would require a lot of
capital and specialized labor Alman was
too aggressive for me to believe tsmc's
CEO wey said in a news conference last
month when asked about the prospect of
new factories like I said before this is
no walk in the park even for the very
experienced entrepreneurs now open ai's
co-founder actually had an interesting
statement on the future of evolving AI
in case of sales it's possible to get a
Cancer and cancer is a prevalent
phenomenon in the nature once then is a
increased number of AIS and some sense
you know there is a process of mutation
which is AIS are modifying its own code
humans are modifying their own code
there is a process of natural selection
and you can say that the AI that
literally wants to maximally spread will
be will be the one that will exist the
things in the universe that want to
replicate are the things that exist here
the main difference is that AI will have
just a huge power you can imagine a a
equilibrium right where where things
aren't allowed to consume all the
resources for example right or is there
am I missing something it might be the
case that other AIS are kind of
Defending uh the system or maybe they
are never they were never trained for
defending uh and it's very hard to
predict the Dynamics in multi-agent
setup with one AI you can maybe predict
what what are the possibilities it would
be still let's say extremely hard but
once you have many of them competing in
some sense for resources very hard to
say actually what might be the consequen
now I know this might not count as AI
news but genuinely this is something
that I believe most people should take a
look at because it shows what you can do
when you actually use AI generated
software to produce something
interesting I've looked at tons of
different AI videos and this is by far
one of the best series I've ever seen
I'm not going to play to you guys the
entire clip because I want you to
actually check out the original creation
but I will show you guys first 30
seconds from an AI generated TV show
which might show you guys how the future
of entertainment is going to change with
regards to enabling solo creators to
produce full-fledged TV shows that they
otherwise wouldn't be able to access on
tonight's episode of unanswered Oddities
humans are they real or just a
younglings fairy tale humans have been a
great mystery of our time these
creatures of lore supposedly ate
potatoes and enjoyed sleep they're
thought to be long extinct if they ever
exist did at all but recent sightings
all across the world have drummed up the
debate once again rural morgog 2 hours
outside of deedle a hiker claims to have
seen a human so yeah it was uh it was a
Tuesday night I had just gotten home
from spitting I went out for my midnight
lurk you know I was just being creepy
and weird and that's when I saw it it
was a home so for me when I actually saw
this I was thoroughly impressed because
I've seen a lot of different AI videos
and this was one that actually made me
smile and I got to be honest I was truly
engaged at the thought of watching a
full episode of this now once Things
become more streamlined and there's a
lot of plug-and playay I do think we
might get automated TV shows but for
those of you guys who think this was
written by an AI it actually wasn't it
was written by a human with the
production basis actually being AI so I
do think that you guys should check this
out as always I'll leave a link to
everything and hopefully you have a
wonderful day
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