BRN Discussion Ongoing

[Zedjack33]

Personally I'd prefer to top up at higher prices on the back of some substantial evidence that Akida has commercial viability rather than take yet another gamble at these current prices.

Agreed.

 

[robsmark]

In Australia, you guys have a good night's sleep, but Germany is already enjoying its bloodbath.

I sure hope that you all are right about BrainChip becoming a great success, but so far, the financials tell otherwise (yes, I watched them too).
No announcements, no success story yet, and the shares lose their value more and more. I dare to wonder if we may all be putting too much fantasy and hope in all the posts here because we are just too much in love with BRN.

But no, I will not be selling now.

Hold my beer!

 

[Mccabe84]

Well Merc did say that they would deep dive into the technology and all will be revealed. They've also mentioned that neuromorphic tech has been incorporated. So if AKIDA and Brainchip are not mentioned here then I think we're stuffed as far as Merc are concerned. I'm waiting to see what is revealed. Personally I'd prefer to top up at higher prices on the back of some substantial evidence that Akida has commercial viability rather than take yet another gamble at these current prices. Remember that we got to all time highs on the last Merc announcement so lack thereof this time around might lead us to all time lows.

Once all the merc stuff vanishes of the BRNs website then I might believe that.

 

[Tothemoon24]

New chip architectures: Shift from traditional to AI, edge, and quantum computing-friendly architectures. Neuromorphic, RISC-V, and quantum chips offer innovative approaches.


These technologies drive electronics, from smartphones to AI hardware, and continue to advance for better performance and efficiency.

Neuromorphic, RISC-V, and quantum chips offer innovative approaches: Aditya Joshi, Opalforce

Neuromorphic, RISC-V, and quantum chips offer innovative approaches, according to Aditya Joshi, CEO, Opalforce

www-dqindia-com.cdn.ampproject.org

 

[Bobbygant]

Well Merc did say that they would deep dive into the technology and all will be revealed. They've also mentioned that neuromorphic tech has been incorporated. So if AKIDA and Brainchip are not mentioned here then I think we're stuffed as far as Merc are concerned. I'm waiting to see what is revealed. Personally I'd prefer to top up at higher prices on the back of some substantial evidence that Akida has commercial viability rather than take yet another gamble at these current prices. Remember that we got to all time highs on the last Merc announcement so lack thereof this time around might lead us to all time lows.

100% agreed save you cash to squeeze the shorters when a decent announcement comes out!

 

[HopalongPetrovski]

This time last year 4DS were almost read the last rites. People were waiting to see if they could even physically produce their technology after two failures. It would’ve been brave to load up on them IMO.

We’re in a similar position though in the sense that people are waiting for something, but it’s not the technology because that has been proven. People are waiting for sales, which is not a given but there’s certainly less risk involved than a technical validation. But when the time come there’s every chance we could experience the extreme turnaround that 4DS is enjoying now.

Don't get me wrong.
I'm in 4DS in a small way as well (thanks Tech) and am delighted to see them enjoying some success but I reckon If we have news announced on the ASX of a similar magnitude to what they have just had we will "go off" like an atomic explosion as compared to their butterfly fart!

 

[Stable Genius]

Donot take me wrong. I want you to be right as it will benefit as well. But your or my wish does not matter if the results are not delivered by the management.
I still assume it would had been better to bring akida 2000 than akida 1500 even if that means extra time.
I am worried company is launching akida 1500 just like akida 1000 in a hurry and any failure here will be detrimental.
On the positive note if company can recover the cost of akida 1500 from its sale it will be a good outcome.

Hi Rguta,

I try to listen to most people‘s points to get a balanced view but I’m not sure if you’re being nefarious with you’re criticism of Akida 1000 and 1500.

The Akida 1000 needed to be produced to show that it worked in silicon. A legendary feat which should someday be acknowledged and cheered as the beginnings on the commercialisation of AI and the beginnings of the fourth Industrial Revolution. The base ingredients of the AKD1000 are included in AKD1500 and Gen 2’s with some differences depending on size, power and uses.

If you would like to hold your criticism’s until next week when Mercedes Benz are speaking twice daily at the Munich IAA Mobility exhibition. One of their presentations is about “Pioneering technology.” I could be wrong but I see that as a great opportunity to sing the praises of neuromorphic technology again; which happens to be Akida.

With the upcoming release of the 2024 MB version I would anticipate Valeo Scala 3 getting a mention which also hopefully includes the AKD1000 so we might finally get some acknowledgement and revenue streams from them. Although which quarterly that shows up is still a mystery depending on contract arrangements.

These are two known partners of Brainchip, on their webpage, front and centre. I doubt their CTO’s are saying Akida1000 is a failure. I would imagine they are excitedly discussing the science fiction features and how it enables them to “See the Invisible.”


There are obvious reasons for the Akida 1500. I strongly doubt it was produced on a whim or so it could be superseded by AKD2000.

The eloquent @Diogenese has explained numerous times it was quite clearly made without the Arm M class CPU so companies that didn’t want the extra cost of paying for Arms CPU. The obvious company that includes is SiFive. SiFive was chosen as a supplier for NASA. There have been numerous discussions where NASA have outlined the exact specifications which match the AKD1500 as pointed out kindly by @Fullmoonfever. Coincidentally Global Foundries is a supplier for NASA so it’s a fortunate piece of luck they are involved. As time progresses NASA’s readiness levels will progress through the necessary stages for their numerous product lines and we should see orders; unless of course another competing neural network company suddenly manages to produce a better product without breaching our patents. Unfortunately for all of us this will take time; I’m impatient too but I lack the necessary qualifications to speed up their processes so I’ll have to wait.

Megachips helped with the ”Back End’ of the AKD1500 so I am hopeful they have other use cases in mind. Given Megachips supplies for both Apple and Nintendo it would be nice if one were them; however that is highly speculative.

Despite the SP woes I invested on the knowledge I have gained from my own research and what others have kindly contributed. Edge AI is a growing industry, still in it‘s infancy. I’m not wrapped with the extended timeline but I can’t change it. Will it still happen; I believe so. Therefore I am still comfortable that the sky hasn’t fall in. Life goes on. I have faith the 40 odd companies we are linked with are progressing products of which we should one day see revenue. Until then I’ll soldier on!

I do feel for those in the red, like myself; however there is still a lot to be optimistic about!

 

[Cardpro]

Hold my beer!

I can no longer afford beer, getting high on seeing reds

 

[SERA2g]

I am pleasantly surprised with the general attitude on the forum today. I came here thinking it would be an absolute war zone but morale is much higher than I expected. Good work team <3

No one likes to see the paper value of their shares diminish so props to those keeping their head up. Plenty of things to still be excited about despite the share price action.

 

[buena suerte :-)]

Hi Rguta,

I try to listen to most people‘s points to get a balanced view but I’m not sure if you’re being nefarious with you’re criticism of Akida 1000 and 1500.

The Akida 1000 needed to be produced to show that it worked in silicon. A legendary feat which should someday be acknowledged and cheered as the beginnings on the commercialisation of AI and the beginnings of the fourth Industrial Revolution. The base ingredients of the AKD1000 are included in AKD1500 and Gen 2’s with some differences depending on size, power and uses.

If you would like to hold your criticism’s until next week when Mercedes Benz are speaking twice daily at the Munich IAA Mobility exhibition. One of their presentations is about “Pioneering technology.” I could be wrong but I see that as a great opportunity to sing the praises of neuromorphic technology again; which happens to be Akida.

With the upcoming release of the 2024 MB version I would anticipate Valeo Scala 3 getting a mention which also hopefully includes the AKD1000 so we might finally get some acknowledgement and revenue streams from them. Although which quarterly that shows up is still a mystery depending on contract arrangements.

These are two known partners of Brainchip, on their webpage, front and centre. I doubt their CTO’s are saying Akida1000 is a failure. I would imagine they are excitedly discussing the science fiction features and how it enables them to “See the Invisible.”


There are obvious reasons for the Akida 1500. I strongly doubt it was produced on a whim or so it could be superseded by AKD2000.

The eloquent @Diogenese has explained numerous times it was quite clearly made without the Arm M class CPU so companies that didn’t want the extra cost of paying for Arms CPU. The obvious company that includes is SiFive. SiFive was chosen as a supplier for NASA. There have been numerous discussions where NASA have outlined the exact specifications which match the AKD1500 as pointed out kindly by @Fullmoonfever. Coincidentally Global Foundries is a supplier for NASA so it’s a fortunate piece of luck they are involved. As time progresses NASA’s readiness levels will progress through the necessary stages for their numerous product lines and we should see orders; unless of course another competing neural network company suddenly manages to produce a similar product without breaching our patents. Unfortunately for all of us this will take time; I’m impatient too but I lack the necessary qualifications to speed up their processes so I’ll have to wait.

Megachips helped with the ”Back End’ of the AKD1500 so I am hopeful they have other use cases in mind. Given Megachips supplies for both Apple and Nintendo it would be nice if one were them; however that is highly speculative.

Despite the SP woes I invested on the knowledge I have gained from my own research and what others have kindly contributed. Edge AI is a growing industry, still in it‘s infancy. I’m not wrapped with the extended timeline but I can’t change it. Will it still happen; I believe so. Therefore I am still comfortable that the sky hasn’t fall in. Life goes on. I have faith the 40 odd companies we are linked with are progressing products of which we should one day see revenue. Until then I’ll soldier on!

I do feel for those in the red, like myself; however there is still a lot to be optimistic about!

Wow… bloody awesome SG.. Great positive and constructive post and exciting times just starting to get traction IMO …. Deserves post of the day … Yamas from sunny Greece

 

[KKFoo]

Invested more, fingers crossed..

 

[jk6199]

I think I'll just stay drunk until the price rises

Just saw the price, not drunk enough!

Let's hope it's the start of a lot of shorters getting out with possible announcements coming in the next week or so?

 

[DingoBorat]

What has TESLA Discovered ?????????????????

Gday @Diogenese
Your reply to @TECH regarding Akd 1500 having 8 nodes and being capable of supporting powerful NNs has me wanting to ask of your opinion here.

Recently Tesla announced they have undertaken a "different method of achieving FSD ". It was disclosed by Tesla that they had reduced the "coding used " by 99% -- ie from 300,000 lines down to 3,000.

Now, within the last 48hrs Elon Musk did a livestream on X ( posted below) of a Tesla Model S driving on FSD without any code program, relying soley on "camera vision & Ai ".

Comments made during the video by Musk,
# Using 8 nodes/Python
# No pre-mapping/routing, just NNs
# No Internet connection required
# Through vision alone has learnt how to drive, just like a human would.

My thoughts/questions are, has this ability been the product of SMART SENSORS/CAMERAS ?
ONE SHOT LEARNING ?
INFERENCE AT THE EDGE ?
LOW POWER CONSUMPTION ?

And of course, "bring out the Ogre " if none of this IYO makes you think that there isn"t any chance of Akida technology being at the heart of this.

MIND BLOWING 10MIN VIDEO....................... DEFINATELY WORTH A WATCH

REMEMBER "HEY HEY " SAYING .................."ONCE YOUR IN, .....YOUR IN"

AK"IN"DA BALL"IN"STA

 

[HopalongPetrovski]

I dunno folks.
Maybe I've just finally gone fully batshit crazy, but the more they push our price down, the more confident I feel, and the more I want to buy.
It's almost like the fear they seek to engender and which my intellect tells me I should be feeling has swapped polarity and instead makes me more determined than ever to ride this thing either straight on up to heaven or into the dirt.
It's like when I was a kid and someone dared me to do something.
No advice intended for any soul out there.
Just where I'm at atm.

 

[Foxdog]

What has TESLA Discovered ?????????????????

Gday @Diogenese
Your reply to @TECH regarding Akd 1500 having 8 nodes and being capable of supporting powerful NNs has me wanting to ask of your opinion here.

Recently Tesla announced they have undertaken a "different method of achieving FSD ". It was disclosed by Tesla that they had reduced the "coding used " by 99% -- ie from 300,000 lines down to 3,000.

Now, within the last 48hrs Elon Musk did a livestream on X ( posted below) of a Tesla Model S driving on FSD without any code program, relying soley on "camera vision & Ai ".

Comments made during the video by Musk,
# Using 8 nodes/Python
# No pre-mapping/routing, just NNs
# No Internet connection required
# Through vision alone has learnt how to drive, just like a human would.

My thoughts/questions are, has this ability been the product of SMART SENSORS/CAMERAS ?
ONE SHOT LEARNING ?
INFERENCE AT THE EDGE ?
LOW POWER CONSUMPTION ?

And of course, "bring out the Ogre " if none of this IYO makes you think that there isn"t any chance of Akida technology being at the heart of this.

MIND BLOWING 10MIN VIDEO....................... DEFINATELY WORTH A WATCH

REMEMBER "HEY HEY " SAYING .................."ONCE YOUR IN, .....YOUR IN"

AK"IN"DA BALL"IN"STA

Imagine the reversal if this is AKIDA. If it's not then (unless Diogenese says otherwise), the competition has leapfrogged us into 'the' tier 1 auto.

 

[DingoBorat]

Imagine the reversal if this is AKIDA. If it's not then (unless Diogenese says otherwise), the competition has leapfrogged us into 'the' tier 1 auto.

It's definitely very "AKIDA" like..

One of AKIDA's strengths, lies in pattern recognition.

The 3000 or so lines of coding are telling the neuromorphic network, to recognise the "patterns" of the drivers, from the mass of video data and told to just "Do what they do".
Hence, the not coming to a complete stop at stop signs etc..

I definitely think AKIDA "could" do what Musk's system is doing.

Musk, at the very least would have checked out AKIDA..

Whatever it is, it's playing in our sand pit..

 

[FabricatedLunacy]

Imagine the reversal if this is AKIDA. If it's not then (unless Diogenese says otherwise), the competition has leapfrogged us into 'the' tier 1 auto.

Yeah. We either head to the moon or we head down into deep dark obscurity and “also ran”

Not sure we are in Tesla. I mean I’d be happier than Donnie at In and Out Burger…

Edit: forgot to add I’m satisfied with all else that we have lined up. So it’s not a Tesla or the dumpster kind of message

 

[FabricatedLunacy]

Yeah. We either head to the moon or we head down into deep dark obscurity and “also ran”

Not sure we are in Tesla. I mean I’d be happier than Donnie at In and Out Burger…

It's definitely very "AKIDA" like..

One of AKIDA's strengths, lies in pattern recognition.

The 3000 or so lines of coding are telling the neuromorphic network, to recognise the "patterns" of the drivers, from the mass of video data and told to just "Do what they do".
Hence, the not coming to a complete stop at stop signs etc..

I definitely think AKIDA "could" do what Musk's system is doing.

Musk, at the very least would have checked out AKIDA..

Whatever it is, it's playing in our sand pit..

View attachment 43186

And if they leapfrogged us and do Akida things, then I’d be interested in seeing what pattens they have and/or how they infringe ours… well, not me. The clever people here, I just read the conclusions.

 

[Tothemoon24]

I would like to take this opportunity to thank you for the fantastic exchange here on the platform
Most recently, we've received a lot of feedback on the implementation of GitHub Copilot (https://lnkd.in/ez9A3kib) to generate #AI-generated code snippets. There are several questions that deserve more elaborate answers. So, let’s get into it!

𝐈𝐬 𝐂𝐨𝐩𝐢𝐥𝐨𝐭 𝐮𝐬𝐢𝐧𝐠 𝐚 𝐭𝐫𝐚𝐢𝐧𝐞𝐝-𝐢𝐧-𝐡𝐨𝐮𝐬𝐞 𝐦𝐨𝐝𝐞𝐥 𝐨𝐫 𝐝𝐨𝐞𝐬 𝐢𝐭 𝐬𝐞𝐧𝐝 𝐝𝐚𝐭𝐚 𝐭𝐨 𝐭𝐡𝐞 𝐀𝐈 𝐬𝐮𝐩𝐩𝐥𝐢𝐞𝐫?
GitHub Copilot for Business relies on data to work, and limited user engagement and code snippet data are used for analysis and product improvements. Copilot does collect anonymous general usage data metrics about generated code events, including errors, latency and feature engagement, as well as user actions like which code completions were accepted and dismissed. Copilot transmits real-time snippets of development code to GitHub to provide suggestions, and they are discarded once a suggestion is returned. Copilot does not retain any code snippet data. We are in the process of configuring Copilot to include locally stored #MBOS code snippets, which will provide more relevant code suggestions specific to MB.OS.

𝐇𝐨𝐰 𝐝𝐨𝐞𝐬 𝐌𝐞𝐫𝐜𝐞𝐝𝐞𝐬-𝐁𝐞𝐧𝐳 𝐜𝐨𝐮𝐧𝐭𝐞𝐫 𝐡𝐚𝐥𝐥𝐮𝐜𝐢𝐧𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐫𝐢𝐬𝐤𝐬 𝐢𝐧 𝐀𝐈-𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐞𝐝 𝐜𝐨𝐝𝐞?
AI is a rapidly evolving way to write code faster by training the code-generation model on high-quality data from reputable sources. It is not a replacement for proper software testing methodologies that are already in place. All AI-generated code is reviewed against various metrics, including quality, functionality and legal compliance, the same as user-generated code. The programmers use various tools to verify the validity, compatibility, security, scalability and maintainability of generated code and it is not added to the stable code base automatically.

𝐂𝐚𝐧 𝐀𝐈 𝐭𝐨𝐨𝐥𝐬 𝐛𝐞 𝐚𝐩𝐩𝐥𝐢𝐞𝐝 𝐭𝐨 𝐦𝐨𝐝𝐞𝐥-𝐛𝐚𝐬𝐞𝐝 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐢𝐧 𝐛𝐚𝐬𝐞-𝐥𝐚𝐲𝐞𝐫 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐥𝐢𝐤𝐞 𝐀𝐔𝐓𝐎𝐒𝐀𝐑 𝐜𝐥𝐚𝐬𝐬𝐢𝐜?
For those who may be unfamiliar, AUTOSAR classic is a shared automotive standard software architecture for embedded real-time ECUs. As software development shifts from manual to generated code it is naturally becoming more model based. Current AI tools can work with base-layer software architecture wherever there is existing code to train the AI model on.

If there is anything else you would like to know about our use of AI in software development, just ask in the comments.

 

[CHIPS]

Hold my beer!

We had -17% at times on Friday. Today +4,7% but the day only just started.