BRN Discussion Ongoing

TheDrooben

Pretty Pretty Pretty Pretty Good
Suffering from TDS?
Put on your Pumps and have a beer with Robert De Niro, you'll feel much better.❤️
TDS???
Trump Digs Socialism???

You better get back to Fox News mate........the amygdala hijacking is huge there.......

f06848ce-cf21-4479-9fb9-21dc9caa9fe6_text.gif


Happy as Larry
 
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Diogenese

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3 reasons everyone is talking about an AI bubble​

Story by atecotzky@businessinsider.com (Alice Tecotzky}

https://www.msn.com/en-au/technolog...1&cvid=68ad03c086dc496ab3da093919a7ea64&ei=25

...

Sam Altman's warning​

OpenAI CEO Sam Altman warned that people might be getting "overexcited" about AI earlier this month.

...

MIT's eye-opening report​

A recent report from MIT found that 95% of AI pilots don't generate measurable financial savings or boost company profits.

...

Meta's AI restructuring​

After spending millions to build a "superintelligence" AI team, Meta is breaking up its internal AI apparatus. The four new teams will focus on research, training, products, and infrastructure.

...

None of this should affect Akida's viability.

AI chatbots such as ChatGPT using omniscient LLMs seem to have reached a plateau short of the AGI summit, but still at an altitude to induce hallucinations.

The current status of Akida's AI application is the use of oxymoronic S-LLMs (small LLMs) with RAG. Applications of S-LLMs like user manuals, being based on fact absent the opinion/bias/bigotry/ignorance which has been swept up in universal LLMs should mitigate erroneous output.

However, even if the AI bubble were to burst, it's comforting to remember that Akida has limitless applications beyond the chatbot AI. universe.

Akida has unlimited applications which do not require LLMs.
 
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7für7

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I don’t understand why some guys care so much about what the majority of people in the US voted for in their own country. That’s how democracy works… one day Democrats will be in power again, then Republicans, and so on. Nothing will ever really change. Just mind your own business in your own country. (Sorry if some of you are Americans – if that’s the case, please clarify your political issues via private message! Not meant to be offensive, just for the sake of the forum.)
 
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Guzzi62

Regular

3 reasons everyone is talking about an AI bubble​

Story by atecotzky@businessinsider.com (Alice Tecotzky}

https://www.msn.com/en-au/technolog...1&cvid=68ad03c086dc496ab3da093919a7ea64&ei=25

...

Sam Altman's warning​

OpenAI CEO Sam Altman warned that people might be getting "overexcited" about AI earlier this month.

...

MIT's eye-opening report​

A recent report from MIT found that 95% of AI pilots don't generate measurable financial savings or boost company profits.

...

Meta's AI restructuring​

After spending millions to build a "superintelligence" AI team, Meta is breaking up its internal AI apparatus. The four new teams will focus on research, training, products, and infrastructure.

...

None of this should affect Akida's viability.

AI chatbots such as ChatGPT using omniscient LLMs seem to have reached a plateau short of the AGI summit, but still at an altitude to induce hallucinations.

The current status of Akida's AI application is the use of oxymoronic S-LLMs (small LLMs) with RAG. Applications of S-LLMs like user manuals, being based on fact absent the opinion/bias/bigotry/ignorance which has been swept up in universal LLMs should mitigate erroneous output.

However, even if the AI bubble were to burst, it's comforting to remember that Akida has limitless applications beyond the chatbot AI. universe.

Akida has unlimited applications which do not require LLMs.
AI Overview


The idea of "omniscient LLMs" is a misconception, as large language models are fundamentally limited by their training data and statistical nature
. The term, however, has been used in specific contexts, such as describing a particular research model called OmniScience or critiquing certain AI-based social simulations.

Reasons why no LLM is truly omniscient
  • Limited training data: The knowledge of an LLM is a snapshot of the massive, but finite, dataset it was trained on. It does not have access to private, real-time, or future information, and cannot learn from new interactions without external data retrieval or retraining.
  • Hallucinations: LLMs are "statistical machines" that predict the most likely next word or token based on patterns learned from training data. This probabilistic nature means they can generate confident-sounding but factually incorrect or nonsensical information, a phenomenon known as hallucination.
  • Inability to reason or reflect: LLMs lack genuine comprehension, consciousness, and the ability to reason about a user's question. They cannot intentionally self-correct or validate their own reasoning beyond statistical self-consistency.
  • Information asymmetry: In a realistic, multi-agent setting, LLMs do not inherently have access to all information. For example, in social simulations, an agent given an "omniscient perspective" has a clear advantage over agents operating with information asymmetry, which is the more realistic setting.
  • Epistemological limits: Any AI model's "understanding" is constrained by how humans have structured the data it learns from. The model can only mirror back the order and vocabulary that humans have already established, and cannot create truth independent of that human context.
 
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Mccabe84

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And there up again..
Screenshot_20250826_115633_Samsung Internet.jpg
 
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overpup

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"Tomorrow's the Day!" - that could be BrainChip's new slogan!
 
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MegaportX

Regular
Anyone one have an idea as to weather BRN will be exiting the ASX300 index with Sept rebalance. :unsure:



MegaportX
 
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Anyone one have an idea as to weather BRN will be exiting the ASX300 index with Sept rebalance. :unsure:



MegaportX
1756191762516.gif



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Slade

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Anyone one have an idea as to weather BRN will be exiting the ASX300 index with Sept rebalance. :unsure:



MegaportX
There is a shower of a chance.
 
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Anyone one have an idea as to weather BRN will be exiting the ASX300 index with Sept rebalance. :unsure:



MegaportX
Flip a coin. We are ranked at No. 568 but, going on previous rebalances over last couple of years probably not. We have been ranked way outside previously and it hasn't happened. S&P are privy to more info than you or me, but, as I said flip a coin.

SC
 
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Something must be going down as the naysayers seem to be out in numbers, maybe they know something we don’t and are trying to close there positions hence the big drop in shorts.

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Thebask27

Emerged
Something must be going down as the naysayers seem to be out in numbers, maybe they know something we don’t and are trying to close there positions hence the big drop in shorts.

View attachment 90208
Hi Pom,
unfortunately the short position went up to 3,68 after the drop to 2,70 day before 😢
Might have been a technical issue, what i know.
Anyway let's follow up the short positions closely
BR
 
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7für7

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IMG_5872.jpeg


Yeah… that’s nice
Jim Carrey Relax GIF by Team Coco
 
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FJ-215

Regular
Looks like the shorters are just riding the trading range. Guess you could argue that they are the ones creating that range given that the BoD are happy to cruise in stealth mode.

Only 121 days to Christmas. Hoping Sean can find his Santa suit before then.
 
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Newk R

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Anyone one have an idea as to weather BRN will be exiting the ASX300 index with Sept rebalance. :unsure:



MegaportX
I think it may be a bit stormy.
 
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Rach2512

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manny100

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The reason why Visionairies invest in Brainchip.
"There is BrainChip Holdings (BRCHF): the purest publicly traded neuromorphic play – albeit a very risky one. The company makes the Akida chip, a neuromorphic processor designed for ultra-low-power edge AI. It’s already being used in smart sensors and defense applications.

BrainChip also holds IP licensing and development agreements with major entities (including Renesas, MegaChips, Mercedes, NASA, and Raytheon, as well as a cybersecurity project with Quantum Ventura tied to the U.S. Department of Energy).

Revenue is still modest, and the company is largely unproven. But if neuromorphic computing hits an inflection point, the potential upside could be massive."
My bold above.
 
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