BRN Discussion Ongoing

[mrgds]

I don't agree with the criticism of the SW-F podcast.

One bit which seems to have drawn a lot of angst starts just before 13 minutes, and my Pitmans is non-existent, but this is the gist:

"There is a debate about how close should we copy the brain – limits of Silicon

Should we directly copy what happens in the brain?

I think there are several companies including Brainchip that are making a good go of it

Products that work and advantages to be had by using spiking architecture

Not everyone is as far along as Brainchip there are a few other in spiking space

Different architectures ASIC? Like BrainChip or Analog even more power can be saved if you can do it that way. Some of these are unanswered questions.

Training challenges to be ironed out

Event based processors ..."

This seems like a fair summation to me. Analog can be more power efficient because they only need a couple of components for a synapse. However the tech has other problems such as repeatability of manufacture which causes variations in spike amplitude (not a problem with digital), the need for ADC (analog-to-digital converter) and possibly DAC, and analog lacks the versatility of Akida.

Another angst-generating bit was the reference to "niche" when discussing the edge which S W-F characterized as a spectrum and fragmented.

Sally was responding to Rod's lead-in:
"Let’s talk about what you believe to be some of the key drivers in this space (the edge) and some of the problems you see as needing to be addressed over the net few years", so Sally's remarks need to be considered in this context.

This podcast is a conversation and Rod Telson said "You're spot on there .. very few are flexible enough to handle voice, vision .. " Rod asked Sally to discuss the key drivers and problems to be overcome. He did not ask her to endorse Akida.

Rod / Rob ........................ Tomato / Tomatoe ..........................

 

[SharesForBrekky]

Rod / Rob ........................ Tomato / Tomatoe ..........................

Omg, there are identical twins working at Brainchip, haha. Now how good would that be having a Rod and Rob Telson working there.

 

[mrgds]

Omg, there are identical twins working at Brainchip, haha. Now how good would that be having a Rod and Rob Telson working there.

"Now how good would that be having a Rod and Rob Telson working there "

To quote RT himself, ( either one ) .............................. "oh, great question " ...................................

 

[Fact Finder]

An interesting insight into the future of neuroscience and its intersection with spiking neuromorphic processing:

NewsNow: Loading story...

The future industries that are being disclosed by these advances are hopefully only beneficial.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Space Cadet]

Rocket I think TSE is pg rated

Hope Sally doesnt read TSE

If she did she might learn something.

SC

 

[Fact Finder]

If you have no idea about Transformer networks for natural language then take ten minutes and be bedazzled by this explanation:

NewsNow: Loading story...

Left me wondering what Peter van der Made was up to in the last ten years Transformers seem like a snap to design and implement in 28 or 22nm.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Fact Finder]

@Rocket577

Did you sign up?

What did you find?

Regards
FF

AKIDA BALLISTA

 

[HopalongPetrovski]

Agreed Funky. I found the podcast very underwhelming unfortunately. i thought it was confusing because Sally wasn’t enthusiastic at all, even going so far as to suggest that analogue is more power efficient. Sorry to say this but I found it very disappointing.

NO HOT TUB FOR HER!!!

 

[equanimous]

If you have no idea about Transformer networks for natural language then take ten minutes and be bedazzled by this explanation:

NewsNow: Loading story...

Left me wondering what Peter van der Made was up to in the last ten years Transformers seem like a snap to design and implement in 28 or 22nm.

My opinion only DYOR
FF

AKIDA BALLISTA

Fascinating

 

[Fact Finder]

I don't agree with the criticism of the SW-F podcast.

One bit which seems to have drawn a lot of angst starts just before 13 minutes, and my Pitmans is non-existent, but this is the gist:

"There is a debate about how close should we copy the brain – limits of Silicon

Should we directly copy what happens in the brain?

I think there are several companies including Brainchip that are making a good go of it

Products that work and advantages to be had by using spiking architecture

Not everyone is as far along as Brainchip there are a few other in spiking space

Different architectures ASIC? Like BrainChip or Analog even more power can be saved if you can do it that way. Some of these are unanswered questions.

Training challenges to be ironed out

Event based processors ..."

This seems like a fair summation to me. Analog can be more power efficient because they only need a couple of components for a synapse. However the tech has other problems such as repeatability of manufacture which causes variations in spike amplitude (not a problem with digital), the need for ADC (analog-to-digital converter) and possibly DAC, and analog lacks the versatility of Akida.

Another angst-generating bit was the reference to "niche" when discussing the edge which S W-F characterized as a spectrum and fragmented.

Sally was responding to Rod's lead-in:
"Let’s talk about what you believe to be some of the key drivers in this space (the edge) and some of the problems you see as needing to be addressed over the net few years", so Sally's remarks need to be considered in this context.

This podcast is a conversation and Rod Telson said "You're spot on there .. very few are flexible enough to handle voice, vision .. " Rod asked Sally to discuss the key drivers and problems to be overcome. He did not ask her to endorse Akida.

If anyone wants to feel underwhelmed by a Brainchip podcast revisit the ARM Jem Davies interview and look where that landed Brainchip despite the initial desire to find a razor blade and a dark cupboard:

Episode 8: What ML and AI can Achieve with Jem Davies, Arm Fellow

In this episode, Rob Telson and Jem Davies (Arm) discuss the process that technology undergoes before implementation at the consumer level

brainchip.com

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Bravo]

NO HOT TUB FOR HER!!!

Bummer! Locked out of my own hot tub. That's a bit rough innit Hoppy?

 

[Space Cadet]

On the subject of the regulatory authority's inability to get off their fat arses and do something about, well we will call it, let me see, price manipulation will do in this context. Here is a company just after open this morning. It doesn't take a genius to work out there is no client that would require these buys or sells. Three 1 Share orders on each side.

 

[Cardpro]

Hmm I can't believe we are back at 60c level (below 1 Bill (USD) Market Cap) even after positioning really well to shoot to the mooooooon..!
I hope we get some positive price sensitive announcements soon haha

 

[cosors]

Here is a thought experiment. Read carefully!

"The end of irrelevant artificial intelligence
...
An interesting anecdote about the use of AI chatbots is the story of Xiaoice, a chatbot developed by Microsoft in China. Xiaoice was designed to have natural, human-like conversations with people, and she quickly became popular with users who enjoyed talking to her. Many users took Xiaoice so much to their hearts that they didn't even realise she was a chatbot, and some even claimed to be in love with her.

In the near future, AI chatbots will be an integral part of our daily lives. These intelligent, conversational agents will be able to assist us with a variety of tasks, from the mundane to the complex. The future of chatbots, and ChatGPT in particular, is likely to be one where they are an integral part of our daily lives. ChatGPT, a large language model trained by OpenAI, has already demonstrated the ability to have natural, human-like conversations across a wide range of topics. This capability, combined with the convenience and accessibility of chatbots, makes them a promising technology for everyday use.

One of the most interesting use cases for AI chatbots is customer service. Chatbots can handle a large number of customer queries, allowing human customer service agents to focus on more complex issues. Chatbots can also provide quick and accurate answers to common questions, improving the customer experience. Another interesting use case for AI chatbots is healthcare. Chatbots can be used to provide patients with information and help them manage their health and make informed decisions. For example, a chatbot could provide information about symptoms and treatment options or remind patients to take their medication. This can be particularly useful for people with chronic conditions who need ongoing support.

A third interesting use case for AI chatbots is education. Chatbots can be used to provide students with personalised learning experiences, tailoring the content and pace of lessons to each individual's needs. For example, a chatbot could help a student study for an exam by providing practice questions and feedback. This could be a valuable tool to help students learn more effectively. They could be used in finance, providing personalised investment advice and helping people manage their finances more effectively. And they could even be used in entertainment to provide engaging and personalised experiences for users.

However, there are also potential dangers associated with the widespread use of ChatGPT and other chatbots. One concern is the potential for abuse and manipulation. Chatbots, like any technology, can be used for nefarious purposes. For example, they could be used to spread false information or to harass and intimidate others. This is particularly worrying because chatbots are capable of having persuasive conversations with people. Another potential danger is the possibility of chatbots replacing human interaction. Although ChatGPT and other chatbots can provide valuable help and convenience, they should not be seen as a substitute for human contact. In some cases, people might rely too much on chatbots and lose their ability to communicate effectively with others. This could have negative consequences for both individuals and society as a whole.

Furthermore, the use of ChatGPT and other chatbots raises ethical questions. As these technologies become more advanced, they may be able to perform tasks that were previously only possible for humans. This could lead to employment issues and displacement of workers. It is important for society to consider and address these ethical concerns as the use of chatbots becomes more widespread.

Overall, the future use of ChatGPT and other chatbots has the potential to significantly improve our daily lives. However, it is important to be aware of the potential dangers and take measures to mitigate them. This may include careful regulation of the use of chatbots and ongoing dialogue about their ethical implications. By addressing these issues, we can ensure that ChatGPT and other chatbots are used in a responsible and useful way."

 

[cosors]

Here is a thought experiment. Read carefully!

"The end of irrelevant artificial intelligence
...
In the near future, AI chatbots will be an integral part of our daily lives. These intelligent, interoperable agents will be able to assist us in a variety of tasks, from the mundane to the complex. The future of chatbots, especially ChatGPT, will likely see them as an integral part of our daily lives. ChatGPT, a large language model trained by OpenAI, has already proven its ability to have natural, human-like conversations about a wide range of topics. This ability, combined with the convenience and accessibility of chatbots, makes them a promising technology for everyday use.

One of the most interesting use cases for AI chatbots is customer service. Chatbots can handle large numbers of customer queries, freeing human customer service agents to focus on more complex issues. Also, chatbots can provide quick and accurate answers to common questions, improving the customer experience. Another interesting use case for AI chatbots is healthcare. Chatbots can be used to provide patients with information and help them manage their health and make informed decisions. For example, a chatbot could provide information about symptoms and treatment options, or remind patients to take their medication. This can be especially useful for people with chronic diseases,
A third interesting use case for AI chatbots is education. Chatbots can be used to provide students with personalized learning experiences, tailoring the content and pace of classes to each individual's needs. For example, a chatbot could help a student study for an exam by providing practice questions and feedback. This could be a valuable tool in helping students learn more effectively. They could be used in finance, providing personalized investment advice and helping people manage their finances more effectively. And they could even be used in entertainment to provide users with engaging and personalized experiences.

However, there are also potential dangers associated with the widespread use of ChatGPT and other chatbots. One concern is the potential for abuse and manipulation. Chatbots, like any technology, can be used for nefarious purposes. For example, they could be used to spread false information or to harass and intimidate others. This is of particular concern given the ability of chatbots to have persuasive conversations with humans. Another potential danger is the possibility of chatbots replacing human interaction. While ChatGPT and other chatbots can provide valuable help and convenience, they should not be viewed as a substitute for human contacts. In some cases, people might over-rely on chatbots and lose their ability to communicate effectively with other people. This could have negative consequences for both individuals and society as a whole.

In addition, the use of ChatGPT and other chatbots raises ethical questions. As these technologies become more advanced, they may be able to perform tasks previously only possible for humans. This could lead to employment problems and the displacement of workers. It is important for society to consider and address these ethical concerns as chatbot use becomes more widespread.

Overall, the future use of ChatGPT and other chatbots has the potential to significantly improve our daily lives. However, it is important to be aware of the potential dangers and take steps to mitigate them. This may involve careful regulation of the use of chatbots, as well as ongoing dialogue about their ethical implications. By addressing these questions, we can ensure that ChatGPT and other chatbots are used in a responsible and useful way."

Sascha Lobo: "I didn't write a single word of the italics above in this column. It comes 100 percent from an artificial intelligence called ChatGPT and that, to quote a popular German chancellor, is a turning point.
...
However, because this has only worked in English so far, I had the above column translated into German by the currently best AI translation service Deepl.com "

https://www.spiegel.de/netzwelt/web...olumne-a-b2afeb69-083d-4e69-8920-da5cad549d5f

That's interesting, isn't it?

 

[FJ-215]

Hmm I can't believe we are back at 60c level (below 1 Bill (USD) Market Cap) even after positioning really well to shoot to the mooooooon..!
I hope we get some positive price sensitive announcements soon haha

Hi Cardpro,

Just my way of looking at things, I believe our news flow is tied to the put option agreement with LDA Capital. For 2022 we had a minimum draw down of around $20M. $5M of that was a carry over from last year. BRN fulfilled that obligation in a canter of the back of Mercedes disclosing their relationship with us. On Jan 1st the agreement resets for the final 12 months. There is a minimum draw down of $15M out to a maximum of $30M. We may get a few crumbs before Xmas to keep us interested but nothing earth shattering is my guess.

Regardless of what the SP does over the next month I think 2022 has been a break out year for BRN.

 

[HopalongPetrovski]

Bummer! Locked out of my own hot tub. That's a bit rough innit Hoppy?


View attachment 23766

Just make sure you don't drop the soap Honey!

 

[GStocks123]

 

[cosors]

Here is a thought experiment. Read carefully!

"The end of irrelevant artificial intelligence
...
An interesting anecdote about the use of AI chatbots is the story of Xiaoice, a chatbot developed by Microsoft in China. Xiaoice was designed to have natural, human-like conversations with people, and she quickly became popular with users who enjoyed talking to her. Many users took Xiaoice so much to their hearts that they didn't even realise she was a chatbot, and some even claimed to be in love with her.

In the near future, AI chatbots will be an integral part of our daily lives. These intelligent, conversational agents will be able to assist us with a variety of tasks, from the mundane to the complex. The future of chatbots, and ChatGPT in particular, is likely to be one where they are an integral part of our daily lives. ChatGPT, a large language model trained by OpenAI, has already demonstrated the ability to have natural, human-like conversations across a wide range of topics. This capability, combined with the convenience and accessibility of chatbots, makes them a promising technology for everyday use.

One of the most interesting use cases for AI chatbots is customer service. Chatbots can handle a large number of customer queries, allowing human customer service agents to focus on more complex issues. Chatbots can also provide quick and accurate answers to common questions, improving the customer experience. Another interesting use case for AI chatbots is healthcare. Chatbots can be used to provide patients with information and help them manage their health and make informed decisions. For example, a chatbot could provide information about symptoms and treatment options or remind patients to take their medication. This can be particularly useful for people with chronic conditions who need ongoing support.

A third interesting use case for AI chatbots is education. Chatbots can be used to provide students with personalised learning experiences, tailoring the content and pace of lessons to each individual's needs. For example, a chatbot could help a student study for an exam by providing practice questions and feedback. This could be a valuable tool to help students learn more effectively. They could be used in finance, providing personalised investment advice and helping people manage their finances more effectively. And they could even be used in entertainment to provide engaging and personalised experiences for users.

However, there are also potential dangers associated with the widespread use of ChatGPT and other chatbots. One concern is the potential for abuse and manipulation. Chatbots, like any technology, can be used for nefarious purposes. For example, they could be used to spread false information or to harass and intimidate others. This is particularly worrying because chatbots are capable of having persuasive conversations with people. Another potential danger is the possibility of chatbots replacing human interaction. Although ChatGPT and other chatbots can provide valuable help and convenience, they should not be seen as a substitute for human contact. In some cases, people might rely too much on chatbots and lose their ability to communicate effectively with others. This could have negative consequences for both individuals and society as a whole.

Furthermore, the use of ChatGPT and other chatbots raises ethical questions. As these technologies become more advanced, they may be able to perform tasks that were previously only possible for humans. This could lead to employment issues and displacement of workers. It is important for society to consider and address these ethical concerns as the use of chatbots becomes more widespread.

Overall, the future use of ChatGPT and other chatbots has the potential to significantly improve our daily lives. However, it is important to be aware of the potential dangers and take measures to mitigate them. This may include careful regulation of the use of chatbots and ongoing dialogue about their ethical implications. By addressing these issues, we can ensure that ChatGPT and other chatbots are used in a responsible and useful way."

I have now translated the text back again using the same tool DeepL. As far as I can see the syntax is perfect in German. Of course, I can't judge the English as well as you. My first post was on Google because of laziness.
I wish you a top trading day, there are good signals from the USA.