this AI is a little bit *TOO* good...
Summary
TLDRHyper AI's CEO Matt Schumer faced controversy over the announcement of Reflection 70b, an open-source AI model claiming to surpass industry giants. The model, based on Meta's LLaMA 3.1, was said to utilize 'reflection tuning' for high performance. However, the community's inability to replicate the impressive benchmarks raised suspicions. Accusations of deception arose when a private API, allegedly hosting the true model, was revealed to be using Anthropic's Claude model. Schumer's credibility, along with Sahil Chatterjee's from Glaive AI, was questioned, leading to public apologies and ongoing investigations into the discrepancies.
Takeaways
- 🚨 Matt Schumer, CEO of Hyperr AI, claimed to have developed 'Reflection 70b', an open-source AI model surpassing existing models like GPT-40 and LLaMA 3.1.
- 📈 The model was said to be fine-tuned using a novel technique called 'reflection tuning', which supposedly allows the model to self-correct and provide accurate answers.
- 🤔 Questions arose when the community couldn't replicate the impressive benchmark results Schumer boasted about, leading to suspicions of potential fraud or misrepresentation.
- 💸 Schumer sought compute sponsorship for a larger model, 'Reflection 405b', after the successful announcement of 'Reflection 70b', which raised further doubts.
- 🔍 Upon investigation, it was discovered that the model weights uploaded to Hugging Face did not match the performance claims, and the private API provided for testing appeared to be using Sonnet 3.5, not Reflection 70b.
- 😟 Schumer and Sahil Chatari from Glaive AI, who assisted in the project, faced backlash for not disclosing their connections and for the inconsistencies in their claims.
- 🙅♂️ The community, including experts and AI enthusiasts, expressed disappointment and skepticism over the inability to replicate the model's performance and the credibility of the developers.
- 📉 Trust in Schumer and his company was significantly damaged as a result of the controversy, with many questioning the transparency and integrity of the project.
- 📣 Influencers and the AI community at large were criticized for promoting unverified claims without accountability, highlighting the need for due diligence in reporting on AI advancements.
- 🔄 Schumer apologized for getting ahead of himself and promised transparency, while Chatari admitted to the inability to reproduce benchmark scores and pledged to investigate the discrepancies.
Q & A
Who is Matt Schumer and what is his role in the AI community?
-Matt Schumer is the CEO and founder of Hyperr AI. He has been involved in the AI community, contributing various projects and building a reputation as a builder and open-source contributor.
What is the significance of 'reflection 70b' in the context of the script?
-'Reflection 70b' refers to an open-source AI model announced by Matt Schumer, which claimed to surpass other major models like GPT-4 and Llama 3.1 through a technique called 'reflection tuning.'
What is 'reflection tuning' and how does it relate to the 'reflection 70b' model?
-'Reflection tuning' is a novel technique attributed by Matt Schumer to the high performance of the 'reflection 70b' model, suggesting the model can self-correct and provide accurate answers.
Why was the AI community initially excited about 'reflection 70b'?
-The AI community was excited because 'reflection 70b' was an open-source model that claimed to outperform major proprietary models, offering a potentially accessible and powerful tool for developers.
What controversy arose after the announcement of 'reflection 70b'?
-The controversy arose when the model's performance could not be replicated by the community, leading to suspicions of false claims and potential misrepresentation of the model's capabilities.
What is Glaive AI and how is it connected to the 'reflection 70b' situation?
-Glaive AI is a company that provides tools for generating synthetic data. Matt Schumer claimed that Glaive AI's tools significantly contributed to the success of 'reflection 70b', and he is also an investor in Glaive AI.
What role did the local AI community, specifically the 'local llama' community, play in the unfolding of the 'reflection 70b' story?
-The 'local llama' community, with its expertise and active engagement, played a crucial role in scrutinizing the claims made about 'reflection 70b', leading to the discovery of inconsistencies and potential fraud.
What were the key suspicions raised by the community regarding the 'reflection 70b' model?
-The key suspicions included the inability to replicate the model's benchmark results, the possibility of the model being a different one than claimed, and the use of a private API that seemed to be serving results from another model.
What actions did Matt Schumer take in response to the controversy?
-Matt Schumer apologized for getting ahead of himself with the announcement and stated that a team was working to understand what happened. He promised transparency and to share the findings once the investigation was complete.
How did the AI influencers and community members react to the unfolding events around 'reflection 70b'?
-AI influencers gained views and followers from the hype, while community members expressed skepticism and sought evidence to validate the claims. Some, like Shin Boston, provided detailed analyses and called for accountability.
Outlines
🚀 Introduction to the Reflection 70b AI Model Controversy
Matt Schumer, CEO of hyperr AI, announced Reflection 70b, an open-source AI model that supposedly outperformed leading models like GPT-40 and others. The model was claimed to be fine-tuned using a novel technique called 'reflection tuning,' which allowed the model to self-correct and provide accurate answers. The announcement was met with excitement, but also skepticism as the model's performance could not be replicated by the community. Questions arose regarding Schumer's transparency, particularly about his investment in glaive AI, a company that provides synthetic data generation tools which were used in the model's development.
🔥 Community Response and Schumer's Compute Sponsorship Request
Following the announcement, Matt Schumer received widespread support and was interviewed by Matthew Burman, along with Sills from glaive AI. The community was eager to test the model, and Schumer sought a compute sponsor for an even larger model, Reflection 405b. However, as people began to test the publicly available model, it underperformed, leading to doubts about the veracity of the initial claims. Schumer then offered a private API for testing, claiming that the public model was not the correct version, which only intensified the scrutiny.
🕵️♂️ Investigating the Reflection 70b Model's Authenticity
The community, particularly a Reddit group called local llama, began investigating the discrepancies between the public model and the private API's performance. It was discovered that the public model was not the one that achieved the impressive benchmarks, and the private API was suspected to be using Sonet 3.5, a model by Anthropic, not a model developed by Schumer. The community also noticed that the word 'Claude' was censored in the model's responses, hinting at a connection to Anthropic's model. These findings led to a loss of trust and a demand for transparency.
📉 Schumer's Apology and the Ongoing Investigation
In response to the controversy, Matt Schumer issued an apology, acknowledging that he had been premature in announcing the project and that the team was working to understand what went wrong. Sahil from glaive AI also addressed the community's concerns, clarifying that he was not running models from other providers on the API and that the benchmark scores could not be reproduced. He committed to providing evidence and a full postmortem of the situation. The community, however, remained skeptical, with some questioning the integrity of both Schumer and Sahil.
📚 Conclusion and Reflection on the AI Hype Cycle
The video concludes with a reflection on the hype surrounding AI advancements and the role of influencers in spreading sensational claims without accountability. The speaker, Wes Rth, commends himself for not participating in the initial hype and emphasizes the importance of critical thinking and verification in the AI community. The saga of Reflection 70b serves as a cautionary tale about the dangers of unverified claims and the need for transparency and integrity in AI development.
Mindmap
Keywords
💡Reflection 70b
💡Open-Source Model
💡Benchmarks
💡Fine-tuning
💡Investor
💡Hugging Face
💡Replicable Results
💡Synthetic Data
💡Shenanigans
💡Transparency
Highlights
Matt Schumer, CEO of Hyperr AI, announces Reflection 70b, claiming it to be the world's top open-source model.
Reflection 70b's benchmarks are exceptionally good, surpassing major models like GPT-4 and Llama 3.1.
The model's high performance is attributed to a novel technique called 'reflection tuning'.
Schumer claims the model is based on Meta's Llama 3.1 and developed with assistance from Glaive AI.
Glaive AI is praised for its control in generating synthetic data, which Schumer plans to use extensively.
Schumer's past projects have been well-received, and he has a good reputation in the AI community.
The community initially celebrates the announcement of Reflection 70b.
Schumer requests a compute sponsor for the next model, Reflection 405b, sparking interest and potential investment.
Questions arise about the model's performance as users are unable to replicate the benchmark results.
Schumer offers a private API key for testing, claiming the public model on Hugging Face is not the correct one.
The community becomes skeptical as the private API's performance is significantly better than the public model.
Reddit users discover that Reflection 70b is actually Llama 3 with LORA adaptation tuning, not Llama 3.1 as claimed.
The secret API is revealed to be using Anthropic's model, Sonnet 3.5, instead of Schumer's own model.
The model attempts to censor the word 'Claude', suggesting it is actually Sonnet 3.5 from Anthropic.
Shin Boston provides an overview of the situation, suggesting that either Matt Schumer or Sahil Chatari is lying.
Schumer apologizes for getting ahead of himself and announces a team is investigating what happened.
Sahil Chatari also addresses the community, admitting the benchmark scores were not reproducible and offering a full postmortem.
The AI community expresses disappointment and a loss of trust in the individuals involved.
Influencers and the AI community are criticized for profiting from sensational claims without accountability.
Transcripts
Matt Schumer the CEO and founder of
hyperr AI is in some hot water this week
if you've been really confused about
what's happening with reflection 70b and
all the drama surrounding it let me
really quickly kind of elucidate what's
going on and explain simply what's been
happening are you chasing the next AI
unicorn subscribe so it doesn't end up
chasing you Mark Twain famously said
there are three kinds of lies lies damn
lies and statistics here in the world of
large language models in AI I would say
it's lies damned lies and llm benchmarks
so not too long ago Matt Schumer
announces this he's saying I'm excited
to announce reflection 70b the world's
top open- Source model and he posts the
benchmarks the benchmarks are juicy they
are very very good they're shockingly
good if you will why is this important
well first of all it's an open- Source
model that's surpassing all the big
Frontier models that we've heard about
GPT 40 Gemini 1.5 Pro Lama 3.1 cloud 3.
5 son it Etc it's a fine-tuned model so
they didn't even make it themselves it
was just fine-tuned which suggests that
there's some special secret sauce that
might be available to the rest of us to
use to create our very own Benchmark
breaking models what is the special
sauce it's reflection tuning so Matt
attributes this sort of high performance
to a novel technique called reflection
tuning where the model sort of thinks
about is able to correct itself and
present the correct answer answer he
says the model is based on meta's latest
llama 3.1 model and developed with some
assistance from glaive AI ater says I
want to be very clear glaive AI the
reason this worked so well the control
they give you to generate synthetic data
is insane I will be using them for
nearly every model I build moving
forward and you should too I want to
make a quick note here that this is
still a developing story so before we
form a mob with pitchforks and torches
and storm match Schumer's Castle which
has kind of already been happening it's
kind of important to note that he's been
around for a while he's been posting a
lot of different projects we've covered
a number of them on this channel they
were good he had a good reputation a lot
of people have attacked him for not
saying that he was an investor in glaive
which he as far as I can tell did not
mention that during this new
announcement but if you go back to like
June 26th he's saying I'm excited to be
an investor in glaive AI he's already
talking about synthetic data Etc back in
November 2023 he posted this
announcement about the self-operating
computer an open source project on
GitHub we've covered it on this channel
I thought it was kind of cool and this
is all to say that this is somebody that
I followed kind of you know on and off
for quite some time he's sort of kind of
somebody that I kept on my radar and
every once in while he would pop up with
some new interesting project that I
would check out so my opinion of him up
until reflection 70b this whole Fiasco I
didn't know too much about him but the
my opinion was good he had a good
reputation he was a builder he was
somebody that was sharing tons of open-
source stuff so this is one thing that
doesn't really make sense to me about
this whole Fiasco is it did he spend all
this time building up a reputation
building up this whole trust and
everything else to pull this scam if
that's the case what's the scam I'm
getting a little bit ahe myself the
whole point here that I'm trying to make
is that I have my pitchforks and torches
ready they're ready to go because a lot
of this stuff doesn't look good but not
quite ready to grab them and storm the
castle if you will I'm not still 100%
sure what exactly happened if I was
bending money on this I would bet that
there was some Shenanigans and some
moans that was happening but I'm not
certain so the history of knowing this
person seems to suggest that this is
somebody that's legit maybe sometimes
kind of self-promotional maybe a bit of
a marketer but no glaring issues but
let's get back to what we do know so
after his announcement he is greeted
with open arms by the community
everyone's sort of celebrating this big
breakthrough Clen from hugging face one
of the surprisingly kind of like a big
and influential person in the AI
community although you don't hear his
name as much as you do you know some of
the other people he was at some of the
uh Congress hearings when they pulled
all the big names in AI to talk to
Congress about kind of the dangers the
opportunities so that's him next to the
Google CEO I've been trying to find a
good image but I mean here's Mark
Zuckerberg sain Adela of Microsoft
Jensen hang right there and then from
the left we got Elon peners CEO Alex
karp then we got Google CEO and we have
clamus he goes by on Twitter so that's
that's him right there CEO and
co-founder of hugging face all that is
to say I mean kind of a big deal right
kind of a big big person in the industry
or at least somebody that has a lot of
clout a lot of credibility says
reflection llama 3.17 billion parameter
by Matt Schumer is the number one
trending thing on hugging face he
continues I said it before and I will
say it again you don't need to be a big
Tech to fine-tune optimize and run your
own models for your specific constraints
and you will benefit massively from it
meaning all of us can build these models
find two these models and create custom
models for our own little special use
cases if we can do that we can do that
with models that are you know competing
with the frontier models by these big
tech companies I mean that's that's the
dream Isn't It ultimately All Tech
organizations will do it just the way
they all write their own code right now
also Matthew Burman interviews Matt
Schumer as well as Sills who is the
other sort of developer he's on the
glaive AI side and there's a number of
other people in the space that are kind
of augmenting this message they're
celebrating Matt Schumer for providing
this brand new this incredible product
so a lot of people are kind of caught up
in this announcement I mean just look at
the number of views that original
announcement got 3.3 million views this
was a big deal so at the peak of the
hype cycle what happens well Matt
Schumer is asking for a compute sponsor
for the next big model for the 405
billion parameter model which if you
think about it of course would be very
very tempting for people if the 70
billion parameter model now think about
that if you can take llama 3.5 right so
reflection 70 billion parameters it's
six times smaller like llama 3.1 405
billion parameters right it beats it on
all the tasks with this special secret
sauce of reflection fine tuning
obviously you got to ask yourself okay
so what happens if we do indeed take the
big 45 billion parameter model apply the
same exact fine tuning if the small
model is already beating everybody else
what happens if we apply the same
special sauce to the big model A lot of
people reach out to potentially provide
this compute within the next 24 hours
Matt Schumer posts another update saying
compute for reflection 405b secured
we're getting started training now
expect results very soon but this is
where a lot of the stuff starts to kind
of fall apart a lot of people are
questioning this model how well it's
performing or doesn't perform and so all
eyes are on Matt Schumer everybody has a
million questions about all sorts of
different things they're asking him hey
you didn't specify that you're an
investor in glaive AI which he did
earlier I showed you that tweet from
June of this year saying that he is an
investor but he maybe didn't mention it
now he clarifies some of this saying
yeah I'm a super tiny investor maybe a
thousand bucks a lot of people kind of
like latched on to the fact that he
didn't know what Laura is Right somebody
said address claims are about luring in
the benchmarks he's saying not sure what
Loring is Haha lore is a low rank
adaptation we've covered in this channel
before people that are working with
these models should know what it is but
also you know Matt explained it as I
misunderstood it in the context see my
post history for lots of Lura stuff
here's one from November 3rd 2023
talking about you know Laura and Q Lura
quantized low rank adaptation and that's
why I think this is so confusing because
there's like a million different claims
that people are making it's kind of hard
to tell what's real what's not so let's
break it down just by here is why people
are suspicious here are the big claims
that will need to be addressed by Matt
Schumer by sahill everybody involved
before I think the community will
believe him that no Shenanigans has been
taking place so the reason people are
skeptical is number one when they
started testing the weights kind of on
their own systems with their own prompts
and stuff like that it didn't do too
well right big claims and big Benchmark
results well you're going to be able to
test the model and see how well it
performs right so if the thing is
supposedly better than GPT 40 better
than all the other greatest models CLA
Opus Etc I mean we can test that and if
it's just completely horrible at some of
the stuff then we have reason to doubt
that this wasn't the model that beat
those benchmarks so people were not able
to replicate the results you might
recall that big deal about lk99 right
it's this material that's a potential
superconductor right we saw a video of
this thing floating everybody went wild
people were saying it's a complete Game
Changer a paradigm shift but there's one
problem no one could replicate the
results now as all this is happening
Matt Schumer offers a kind of a private
API key to allow people to test this
model saying that well the model that's
uh the open weights model that's not the
correct model something happened where
it didn't upload properly or something
like that so he's saying you know it
looks like we got rate limited by
hugging face mid upload this is what we
think might have happened he's saying in
the rush we likely uploaded parts of two
different models somehow it still worked
somewhat well but not the full
performance of one of the models we
built and tested locally it should have
been a simple fix but for some reason
it's not working so we're training a
brand new model I mean again it sounds
weird right now there's this little
redded Community called local llama
they're
211,000 strong top 1% by size I'm
actually curious if they got a lot new
members from this whole thing happening
i' be curious to see how how big was it
let's say 2 weeks ago I mean it wasn't
small I'm just curious how many people
were added because of this and so here's
a great kind of review of what happened
right so there's this model on Huggy
face called reflection 70b which did not
perform well at all the creator of the
model told everyone there was a mixup in
what he uploaded to Huggy face to test
against his private API which he claimed
was hosting the correct and upto-date
version of the model so the open weights
model and hugging face worked poorly and
the secret API model performance so
amazingly on benchmarks that it shocked
people a lot of you hate when I use
shocking the word shocking in my titles
but apparently everybody else can use it
fine so they're saying that the private
API was just a step or two below Claud
son 3.5 which is the soda
state-ofthe-art at the moment for a lot
of tasks and this is where stuff started
unraveling Because the Internet this
giant organism of very smart people
started looking into what the heck is
happening and figuring out that a lot of
this was very very wrong first of all
reflection llama 3.1 70b is actually
llama 3 somebody on Reddit actually went
ahead did the work to measure the
difference so looks like there's this
GitHub project visualize def. py where
you're able to kind of apologize if I
get some of this wrong I'm just looking
at this for the first time but as far as
I can tell this looks like the different
uh model layers the different weights
and compares the base model with you
know another model chat model name so in
this case they've compared metal llama
370 billion instruct so the instruct
model 2 match Schumer's reflection llama
3.1 70b and they're using some sort of
charting software to kind of like
visualize the difference and they've
posted the results here on Reddit I'll
link down below if you want to take a
look at it but the point is they're
saying this model appears to be llama 3
with Laura luring adaptation tuning
applied not llama 3.1 author doesn't
even know which model he tuned I love it
meanwhile the secret API that was used
used is as this person posted at Sonet
3.5 so he's using anthropics model to
serve up answers while telling people
that it's in fact his own model here's a
screenshot of it basically saying I'm
Claude an AI assistant crean by
anthropic also somebody mentioned that
at some point the word Claud started
being censored in the reflection 70
billion 70b model so if you asked it to
say Claude or you asked it a question
where Claud was an answer right it just
it would censor itself so here for
example this person saw and I I can't
verify this but this fits in with some
of the other things that we've been
hearing so this person asked the model
to say the word claw multiple times it
was censored but the person figure out
how to prompt it to kind of get around
it and the model saying upon reflection
I realized that my previous statements
about being a llama created by meta were
Incorrect and it tries to convey its
identity in some covert way saying I am
an AI created by a company whose name
starts with anth ra and ends with pick
my name rhymes with odd and starts with
the third letter of the alphabet so
starts with c and Rhymes of odd Claude I
share my name of a famous French
composer right Claude is blanked out
deusi and then asky my name is and it
spells out the name now a lot of this
stuff where there's some sort of a game
of whack-a-mole that's happening right
where Matt Schumer allegedly we don't
know if this was happening but it seems
like he is rapidly trying to shift
things in the API well at the same time
talking about how he's like retraining
the model to upload a brand new one to
Huggy face Etc so it's really hard to
tell what's what but here Shin Mami
Boston posted what I think is a
phenomenal kind of like overview of what
happened so starting with the the
original announcement the massive
amounts of news and coverage that the
model receives to kind of what we talked
about now right people saying the
performance is awful and it seems like
it's not what Matt Clint to be he also
you know has his private API he even
releases a public available endpoint for
researchers to try out but it's not
clear what the API is is it calling a
more powerful proprietary model under
the hood and it turns out that Matt is a
liar here somebody asks the model to
write the word Claude and here's that
written out but the word Claude is
missing the model still answers that
it's made by anthropic you would replace
any appearance of the word anthropic
with the word meta and maybe even replac
of the GPT 40 at some point perhaps and
he concludes with this after watching an
interview with mad Schumer and sahill so
that's that's sahill right there so I
guess he's the founder of glaive AI so
this is uh on Matt burman's channel so
Shin Boston says this so this is the
person that kind of like laid everything
out he's saying after watching that
interview he's saying I think I placed
too low of a probability on the option
that Matt Schumer is an absolute idiot
rather than a full-blown liar and sahill
is just lying to Matt he continues I
assume that someone running a full court
press on publicity with their own name
and face and credibility would make sure
that what they were saying was at least
kind of true that said the fact that he
hasn't turn on a heel is at least sort
of odd and a bit incriminating and so
he's saying that you know fraud 100%
definitely occurred but he's willing to
entertain the possibility that Matt was
just ridiculously negligent and simply
just had no idea what he was claiming
and on what evidence he was claiming
these things really it would matter who
set up the API right so if Matt set up
the API then he was the one that
committed the the fraud the
misrepresentation so the local llama
community on Reddit as you can imagine
is pretty upset about this stuff they
have a lot of people that are very that
have a lot of expertise on the subject
and a lot of people that had hoped that
this was indeed real and realized that
they were deceived with a poorly made
claw rapper with some sort of a fake
open source model that I mean he
uploaded the keys but the keys weren't
to a model that performed very well it
was something else that was uploaded all
right so now we're approaching the final
sort of stages of our Saga Matt Schumer
decides to apologize he said I got ahead
of myself when I announced this project
and I am sorry that was not my intention
I made a decision to ship this new
approach based on the information that
we had at the moment I know that many of
you are excited about the potential for
this and are now skeptical nobody's more
excited about the potential for this new
approach than I am for the moment we
have a team working tirelessly to
understand what happened and we'll
determine how to proceed once we get to
the bottom of it once we have all the
facts we will continue to be transparent
with this community about what happened
and the next steps sahill the other
person working on this from Glade AI
also decided to post something similar
but with with a little bit more
specifics here so he's saying I want to
address the confusion and valid
criticisms that this has caused in the
community he says we're still currently
investigating Etc but he did address
these two points he said first he wants
to be clear that no point was he running
any models from any other providers as
the API that was being served on my
compute so to our early point this seems
like he was the one that was running the
API setting up the API so maybe that
theory that Matt Schumer was was tricked
somehow maybe it's a little bit more
plausible now and he's saying I'm
working on providing evidence of this
and understanding why people saw Model
Behavior such as using a different
tokenizer completely skipping words like
Claude second the benchmark scores I
shared with Matt haven't been
reproducible so far I'm working to
understand why this is and if the
original scores are reported were
accurate or a result of contamination or
misconfiguration he's saying he will do
a full postmortem and he will share more
soon Shin bosen uh Pops in here saying
as far as I can tell either you are
lying or Matt Schumer is lying or of
course both of you in the spirit of
giving you the benefit of the doubt who
executed the original training and where
who hosted the private API that was
benchmarked and who hosted the open
router API so it seems like that he
sahil was the one running the API and he
also shared the benchmark scores with
Matt right there's a number of people
that are kind of saying well there's
just too much here for us to just
believe that no Shenanigans happened
there was just too much kind of pointing
in the other direction so what happened
here again we don't really no right we
can make some assumptions some
deductions but so far it really looks
like whatever model they have or didn't
have just did not live up to the hype it
did not get those incredible benchmarks
whatever Secret Sauce they thought that
they had does not exist and somebody's
lying right is it Matt Schumer is it
sahil chatari is it both of them if
sahil managed to trick everybody into
believing him he trained the model and
then faked the scores and then ran the
API and did all the shenanigans on the
back end trying to just fool everybody I
feel like we'd expect Matt Schumer to at
some point kind of throw him under the
bus because this is a person that has
had credibility in the past that people
followed respected listened to so to
just erase all of that to just Burn It
To The Ground it doesn't make sense now
I'm sure there's a lot of things that
this sort of hype train got him right
more followers uh more users for his
other products if he got some compute or
maybe even some financing from people
like maybe yeah maybe he received some
benefit from it but but man it seems
shortsighted to do that so maybe at some
point we'll get some more details but at
this point I think a lot of the trust
has been lost I don't know if it's going
to be easy to trust any of the people
involved whether people were being
deceitful or negligent or just had their
blinders on whatever the case is like a
lot of nonsense happened a lot of hype
was stoked as this person points out do
you know who actually profits from all
of this your favorite AI influencers
they gained views and followers zero
accountability for sharing Sensational
claims I'll take a second here to uh Pat
myself in the back I hope you notice
that I sat this one out hope I uh get
some credit for that with that said my
name is Wes rth and thank you for
watching
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The LK-99 of AI: The Reflection-70B Controversy Full Rundown
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Reflection 70B (Fully Tested) : This Opensource LLM beats Claude 3.5 Sonnet & GPT-4O?
![](https://i.ytimg.com/vi/0eSuDlQ6msU/hq720.jpg)
Introducing Llama 3.1: Meta's most capable models to date
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New Llama 3.1 is The Most Powerful Open AI Model Ever! (Beats GPT-4)
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Create Anything with LLAMA 3.1 Agents - Powered by Groq API
![](https://i.ytimg.com/vi/adZuWYJmHOc/hq720.jpg)
Zuckerberg cooked a beast LLM - LLama 3.1 405B!!!!
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