BRN Discussion Ongoing

Bravo

If ARM was an arm, BRN would be its biceps💪!
Check this out Brain Fam!

Here's an article describing Qualcomm's latest chipset Snapdragon 8102. It says it integrates AI in every single capacity and can run large language models like ChatGPT locally. In trying to find out more about this new chipset, I came across this video, which was recorded about 1 month ago, with Qualcomm CEO Cristiano Amon in which he discusses the ability to bring A.I. language models to smartphones and the next frontier of "mixed reality."

Cristiano says this is "the milestone we've been waiting for" and he mentions that Qualcomm, Samsung, Google and Meta are all working together to build the next generation mixed reality devices and he expects that the next computing platform will be glasses. At roughly 35 seconds into the interview he says "the ability to create that much processing power in a smart phone and run that without compromising the battery life is something that only Qualcomm can do!"

When is Qualcomm going to let the cat out of the bag because I'm itching to bust a move?



cute-paperbag (1).gif



Screen Shot 2023-04-01 at 1.03.26 pm.png

Screen Shot 2023-04-01 at 1.03.37 pm.png




 
Last edited:
  • Like
  • Fire
  • Love
Reactions: 62 users

Bravo

If ARM was an arm, BRN would be its biceps💪!
Check this out Brain Fam!

Here's an article describing Qualcomm's latest chipset Snapdragon 8102. It says it integrates AI in every single capacity and can run large language models like ChatGPT locally. In trying to find out more about this new chipset, I came across this video, which was recorded about 1 month ago, with Qualcomm CEO Cristiano Amon in which he discusses the ability to bring A.I. language models to smartphones and the next frontier of "mixed reality."

Cristiano says this is "the milestone we've been waiting for" and he mentions that Qualcomm, Samsung, Google and Meta are all working together to build the next generation mixed reality devices and he expects that the next computing platform will be glasses. At roughly 35 seconds into the interview he says "the ability to create that much processing power in a smart phone and run that without compromising the battery life is something that only Qualcomm can do!" !

When is Qualcomm going to let the cat out of the bag because I'm itching to bust a move?



View attachment 33413


View attachment 33409
View attachment 33410




I think this is all interrelated with Qualcomm's "Stable Diffusion" artificial intelligence (AI) technology which they announced on the 23 Feb 2023, which was "liked" by Nandan Nayampally.

There's a cat too, which is a very fortuitous sign IMO.

https://www.linkedin.com/in/nandannayampally
1678508067444.jpeg
 
  • Like
  • Love
  • Haha
Reactions: 21 users
I feel like I’ve posted this previously but maybe not

F8230FA0-38F5-4D76-8DB0-D41FD74FB57B.jpeg

54B915D7-D553-482D-9576-9465C1E4C152.jpeg
 
  • Like
  • Love
  • Fire
Reactions: 32 users

HopalongPetrovski

I'm Spartacus!
Extract from article from NY Times about the near future re Chatbot etc....

"Before GPT-4 was released, OpenAI handed it over to an outside group to imagine and test dangerous uses of the chatbot.
The group found that the system was able to hire a human online to defeat a Captcha test. When the human asked if it was “a robot,” the system, unprompted by the testers, lied and said it was a person with a visual impairment.

Testers also showed that the system could be coaxed into suggesting how to buy illegal firearms online and into describing ways to make dangerous substances from household items. After changes by OpenAI, the system no longer does these things.

But it’s impossible to eliminate all potential misuses. As a system like this learns from data, it develops skills that its creators never expected.
It is hard to know how things might go wrong after millions of people start using it.
“Every time we make a new A.I. system, we are unable to fully characterize all its capabilities and all of its safety problems — and this problem is getting worse over time rather than better,” said Jack Clark, a founder and the head of policy of Anthropic, a San Francisco start-up building this same kind of technology."



 
  • Like
  • Wow
  • Sad
Reactions: 12 users
This NVIDIA GPU Firmware engineer has hands on Akida experience from Carnegie Mellon University

1680320174051.png

1680320232113.png

1680320300267.png
 
  • Like
  • Fire
  • Love
Reactions: 82 users
  • Like
  • Fire
  • Love
Reactions: 68 users
This chap was a consultant to Sony India working on SNN for object detection at same time as he was using Akida

1680321649559.png

1680321371392.png

1680321562198.png
 
  • Like
  • Fire
  • Love
Reactions: 69 users
This chap was a consultant to Sony India working on SNN for object detection at same time as he was using Akida

View attachment 33422
View attachment 33420
View attachment 33421
Ignitarium Technology Solutions is an ARM partner and lists Brainchip as an Ai partner:


My opinion only DYOR
FF

AKIDA BALLISTA
 
  • Like
  • Fire
  • Love
Reactions: 46 users

Tothemoon24

Top 20
.
 
  • Like
  • Fire
  • Love
Reactions: 26 users

IloveLamp

Top 20
  • Like
  • Fire
Reactions: 24 users

White Horse

Regular
Sure hope this is not a repeat. Game changer, and all good for Brainchip!

The world now knows how to run AI ChatGBT on a laptop, or phone, no internet. Generative AI in my opinion is very good for Brainchip smarts on the Edge. Awareness of AI to all decision makers.

This guy is sharp. Did it all in a week!



View attachment 33392


Sure hope this is not a repeat. Game changer, and all good for Brainchip!

The world now knows how to run AI ChatGBT on a laptop, or phone, no internet. Generative AI in my opinion is very good for Brainchip smarts on the Edge. Awareness of AI to all decision makers.

This guy is sharp. Did it all in a week!



View attachment 33392

There is something fundamentally flawed with this reasoning. It's a DUD.

Floored.jpg
 
Last edited:
  • Haha
  • Love
Reactions: 10 users

Boab

I wish I could paint like Vincent
  • Haha
  • Like
  • Fire
Reactions: 11 users

manny100

Regular
Most would not realise that the NASDAQ is in a technical Bull Market.
Its risen around 21% since the Oct'22 lows.
Most would say how could that be when the world is falling apart??
The answer is that the market does not give a shiete what people think. It just does what it does.
Interestingly the NASDAQ started the bull run in OCT'22 with the same price action bullish set up as we now see with BRN.
The XJO completed the same price action yesterday as well.
The last 2 huge BRN bull runs saw the same bullish price action set up in the lead up to those runs.
I am not making predictions or offering opinions. I am merely noting down what price action reveals.
Last weeks low of 47.5 cents must hold for the set up to remain in play.
All may be just a coincidence so DYOR.
 
  • Like
  • Fire
  • Love
Reactions: 23 users

Dhm

Regular

Great video, but typical that it shows IBM and Loihi 2. They forget Brainchip and our first to commercialisation.

BTW I saw microcombs but I don't understand them. Perfect cue for our resident brainiac @Diogenese to enter stage right. Or others too if they know :)

And Swinburne University of Technology is Australian.

https://www.swinburne.edu.au
 
  • Like
  • Sad
Reactions: 8 users

Adam

Regular
  • Haha
  • Like
Reactions: 6 users

White Horse

Regular
  • Haha
  • Like
Reactions: 2 users

Deadpool

hyper-efficient Ai
Check this out Brain Fam!

Here's an article describing Qualcomm's latest chipset Snapdragon 8102. It says it integrates AI in every single capacity and can run large language models like ChatGPT locally. In trying to find out more about this new chipset, I came across this video, which was recorded about 1 month ago, with Qualcomm CEO Cristiano Amon in which he discusses the ability to bring A.I. language models to smartphones and the next frontier of "mixed reality."

Cristiano says this is "the milestone we've been waiting for" and he mentions that Qualcomm, Samsung, Google and Meta are all working together to build the next generation mixed reality devices and he expects that the next computing platform will be glasses. At roughly 35 seconds into the interview he says "the ability to create that much processing power in a smart phone and run that without compromising the battery life is something that only Qualcomm can do!"

When is Qualcomm going to let the cat out of the bag because I'm itching to bust a move?



View attachment 33413


View attachment 33409
View attachment 33410




Well Done Bravo GIF by Friends
 
  • Like
  • Fire
  • Love
Reactions: 8 users
Hi Chippers,

I was just speculating a bit.

Akida 1.0 could run about a million transistors (depending on configuration) at a 32 nm process node, at milliwatts of power consumption. If we scaled down to the lowest process node that we have today, which is 2 nm (Intel just delivered some (probably laboratory versions) to the US army), then let's say we could pack 200 million neurons, still running sub 1 watt. Connect 5 of these and you would have a billion neurons running sub 5 watts.

Given that with some further development of technology that is already in existence, we may be able to reach a billion neurons working at GHz speed and sub 5 watts of power.

Considering that AI already is starting to help us develop AI, through for example Microsoft Copilot that assist programmers and Synopsys' AI assisted chip design. This is already creating a feedback loop, that will accelerate development of AI software and hardware. Given that it's probably technically possible to create a billion neuron network, running sub 5 watts at GHz speeds and the feedback loop. The probability of this happening in a few years seems high?

This system with a billion neurons will be running billions of Hz (GHz), compared to the human brain of a bit less than 100 billion neurons that runs roughly 50 Hz. So, it's likely that given the right model, it would be able to reach advanced conclusions that humans aren't capable of reaching. Not saying that it will be a substitute for humans, more that it could be vastly superior in reaching some conclusions?
 
  • Like
  • Fire
  • Love
Reactions: 18 users

Baisyet

Regular
 
  • Like
  • Fire
Reactions: 12 users
On Saturday, they are creating a Commercial downloadable version of the whole Chat Brain of Open AI. They had to port some stuff to Apache. It is optimized for the M1 chip, but runs on everything. Any kid with a laptop can grab this entire stack. He explains it all and documents it.

In 10 minutes, mega people can download and run this thing. Next is text to video.

I thought this information was absolutely informative. ☄️☄️☄️
Hi Stuart,

I think this is a great find, though I don't think many others on here have understand it's significance.

I just got around to watching the video you linked. As you say, they have essentially trained a chatbot similar to ChatGPT which they call GPT4All. They used Meta's Large Language model (similar to GPT3) available for research purposes, then trained it using ChatGPT prompts. End of story, they created a smaller chatbot model that can run on someone's laptop and which randomly enough is a 4-bit model.

Now the limitation with using Meta's model is that it can't legally be used for commercial purposes. So in a few days time they'll be releasing another small model that is using a large Open Source dataset, which can be used for commercial purposes.

Unlike the big companies, they are releasing these models for everyone to use. Not only that, but they're releasing the instructions so that anyone can create their own models that can be used for commercial purposes.

This is just the start of almost anyone being able to make their own Chatbot models for business opportunities. And as the guy was saying on the video, the Chatbot they produce could potentially be placed on something small like a Raspberry Pi. Others in the machine learning community will eventually improve on these models and make them smaller and better. So hobbyists and the like will now have their own way of making their own versions of this.

There's a good chance that big companies are already talking to Brainchip about using Akida for these purposes. But what this open sourcing of chatbots will do is enable more custom and innovative AI applications that will continue to grow. Since it can be done for less than $1000, a lot of people will be able to create their own chatbots, it will no longer be limited to just the companies with millions of dollars.

If you were going to run a small chatbot on something like a Raspberry Pi you'd want it to have an efficient, high performance machine learning chip ideally so it wouldn't run too slow. This is where I think Akida is in the right place at the right time.

Pure speculation, DYOR
 
  • Like
  • Fire
  • Love
Reactions: 34 users
Top Bottom