BRN Discussion Ongoing

[HopalongPetrovski]

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."

What’s the Future for A.I.? (Published 2023)

Where we’re heading tomorrow, next year and beyond.

www.nytimes.com

 

[thelittleshort]

This NVIDIA GPU Firmware engineer has hands on Akida experience from Carnegie Mellon University

 

[Fact Finder]

This NVIDIA GPU Firmware engineer has hands on Akida experience from Carnegie Mellon University

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AKIDA has been implanted successfully in young minds.

These young minds have infiltrated the inner sanctum of Count Von Neumann.

The Revolution has begun.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[thelittleshort]

This chap was a consultant to Sony India working on SNN for object detection at same time as he was using Akida

 

[Fact Finder]

This chap was a consultant to Sony India working on SNN for object detection at same time as he was using Akida

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Ignitarium Technology Solutions is an ARM partner and lists Brainchip as an Ai partner:

Ignitarium

Ignitarium is a boutique product engineering design house that combines its deep expertise in semiconductor, AI and wireless-enabled embedded systems.

www.arm.com

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Tothemoon24]

.

 

[IloveLamp]

Qualcomm Expands Connected Intelligent Edge Ecosystem Through… | Amit Mate

GMAC Intelligence is excited to partner with Qualcomm as they expand the Connected Intelligent Edge Ecosystem through groundbreaking IoT and Robotics products. #iot #robotics #intelligence #qualcomm Many thanks to Qualcomm "Connected Intelligence" leadership siddhartha franco , Vivek Hegde ...

www.linkedin.com

Qualcomm Expands Connected Intelligent Edge Ecosystem Through Groundbreaking IoT and Robotics Products

www.qualcomm.com

 

[White Horse]

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.

 

[Boab]

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

View attachment 33428

It is the 1st of April (Fools Day)

 

[manny100]

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.

 

[Dhm]

.

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

 

[Adam]

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

View attachment 33428

I am floored by the flaw in your floor

 

[White Horse]

I am floored by the flaw in your floor

Ya got me.
Busy watching the footy.

 

[Deadpool]

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?



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https://www.benzinga.com/news/23/03/31263228/qualcomm-to-bring-chatgpt-type-language-model-to-smartphones-and-maybe-even-cars

 

[FrederikSchack]

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?

 

[yogi]

 

[IndepthDiver]

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

 

[Bravo]

Qualcomm Expands Connected Intelligent Edge Ecosystem Through… | Amit Mate

GMAC Intelligence is excited to partner with Qualcomm as they expand the Connected Intelligent Edge Ecosystem through groundbreaking IoT and Robotics products. #iot #robotics #intelligence #qualcomm Many thanks to Qualcomm "Connected Intelligence" leadership siddhartha franco , Vivek Hegde ...

www.linkedin.com

Qualcomm Expands Connected Intelligent Edge Ecosystem Through Groundbreaking IoT and Robotics Products

www.qualcomm.com

View attachment 33424

Rob “likes” something from someone partnered with Qualcomm... I wonder what that means?

 

[Diogenese]

Rob “likes” something from someone partnered with Qualcomm... I wonder what that means?

I'm bologna way by your by-line.

 

[Quatercounter]

Found this article below interesting regarding the future direction of Defense. Autonomous air to air refuelling from Airbus Defence and its subsidiary UpNext.
https://apple.news/AjxCBVG2_TiOgx-6EM0My2w

It mentions the system using augmented gps, LiDAR and and ai algorithms, ”specifically by a computer where the artificial intelligence and cooperative control algorithms were running.”

and later this year
“exploring the use of navigation sensors based on artificial intelligence and enhanced algorithms for autonomous formation flight.”

Also at the beginning of the article ‘Auto’Mate Demonstrator technology.’ Leveraging artificial intelligence and machine learning, the Auto’Mate system allowed the A310 to autonomously command the DT-25 targeting drones that were used for the tests.

Also seems they are using Luminar for the LiDAR.