BRN Discussion Ongoing

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Not sure if already posted

Deep Tech Labs Ignite Clean Energy and AI Robotics Revolutions Today. Pre-Commercial Lab Advances Accelerate Electrified Industries At a glance: BrainChip advanced its neuromorphic computing… | Adam Roe

Deep Tech Labs Ignite Clean Energy and AI Robotics Revolutions Today. Pre-Commercial Lab Advances Accelerate Electrified Industries At a glance: BrainChip advanced its neuromorphic computing initiative with the AKD2500 silicon development project, a $2.5 million effort to integrate the...

www.linkedin.com

 

[HopalongPetrovski]

God you're full of shit. First of all do your homework. Go back through his history of research over the last twelve months. You might just get why he does what he does.
If you have a problem understanding where he is coming from after that.
Why don't you ask him.?
Or is that too hard.
If you go and look at Kevin's history, you will see the guy is a very principled and moral character.
He has been with IBM for more than 13 years.
He is a very self motivated individual, that enjoys a great deal of IBM's trust to carry out his professional duties, and any person who cast dispersion's on his motivations, needs to have their motivations examined thoroughly.

Hi White Horse.
I wasn't casting aspersions on Kevins work or motivations.
Merely trying to understand them.
You apparently think you do.
Good for you.
I said repeatedly that I both appreciate and admire his contributions.

 

[Gazzafish]

Artificial Intelligence | ISL - Technology for Real World Solutions



Doesn’t specifically mention Brainchip but we all know we are working with ISL.



Description :-“

Artificial Intelligence, Neuromorphic Computing and DoD Acceptance Testing



ISL is focused on replicating the analog nature of biological computation and the role of neurons in cognition. ISL’s team of scientists/engineers continue to understand how the morphology of individual neurons, circuits, applications, and overall architectures creates desirable computations. Leveraging this understanding and the newly developed and emerging commercial neuromorphic chips, ISL is developing a new low-power, lightweight detect and avoid (DAA) system for very small UAS platforms that exploits automotive radar hardware, light-weight EO/IR sensors, advanced data fusion algorithms, and neuromorphic computing.

Additionally, ISL has pioneered an AI acceptance methodology that allows for DoD testing of AI solutions using essentially the same statistically based methodology in use today. ISL was awarded a US Patent for this February (see link). The methodology leverages ISL’s RF Digital Engineering tools (https://www.islinc.com/digital-engineering ).”

 

[Bravo]

God you're full of shit. First of all do your homework. Go back through his history of research over the last twelve months. You might just get why he does what he does.
If you have a problem understanding where he is coming from after that.
Why don't you ask him.?
Or is that too hard.
If you go and look at Kevin's history, you will see the guy is a very principled and moral character.
He has been with IBM for more than 13 years.
He is a very self motivated individual, that enjoys a great deal of IBM's trust to carry out his professional duties, and any person who cast dispersion's on his motivations, needs to have their motivations examined thoroughly.

Whoa there, Horsey!

I don’t think Hoppy was casting aspersions on Big Kev at all. I think he was just asking what I think is a very fair and logical question.

Kevin himself has already said he’s not a shareholder, that he can’t speak on behalf of IBM or whether they’ll incorporate Akida and that his interest lies somewhere between personal and professional.

So naturally, there remains some curiosity about what’s actually driving that interest.

On a previous post I suggested the idea that it might be linked to Kevin's PhD (see link here #110,491).

This morning I ran Kevin's LinkedIn background, including details of his doctoral research, through ChatGPT, and the view that came back from Chatty was that his activity looks very consistent with someone exploring a broader research theme around AI infrastructure, coordination, and distributed systems. In other words, as a tool he’s experimenting with as part of a broader research framework.

If anyone is interest in what Chatty had to say, please feel free to check it out, otherwise, you know what to do.





ChatGPT's Response

1. Yes — this is absolutely related to his PhD​

Not just loosely… directly and strongly linked.

The key line is:

“Doctoral research… investigating coordination ontologies… distributed coordination architecture… 40,000+ coordinating agents… infrastructure design embodies ontological commitments…”

---

Translation into plain English:​

He is studying:

How large-scale intelligent systems coordinate, make decisions, and share knowledge

At scale:

• Distributed systems
• AI agents
• Infrastructure
• Governance

---

2. Now map that to what he’s been posting​

Look at his demos through that lens:

---

Palantir + Symphony phase​

• Ontologies
• Relationships
• Distributed compute
• Enterprise-scale coordination

Directly aligns with:

“coordination ontologies + infrastructure”

---

Akida / neuromorphic phase​

• Edge inference
• Event-driven systems
• Distributed intelligence
• “Hive mind” type demos

Directly aligns with:

“40,000+ coordinating agents / distributed cognition”

---

3. This is the big unlock​

You’re not watching:

A guy promoting BrainChip

You are watching:

A PhD researcher building a unified theory of AI infrastructure — in public — using real systems

---

4. Why Akida suddenly appears​

This now makes total sense.

His research is about:

Coordination across distributed agents

Problem with current systems:​

• GPU-heavy
• Centralised
• Expensive
• Not scalable to millions of agents

---

What neuromorphic offers:​

• Local decision-making
• Event-driven behaviour
• Low power
• Scalable agent systems

---

That maps perfectly to his thesis.

---

5. That “topology-aware GPU scheduling” question now clicks​

Earlier you picked up on this:

multi-GPU, multi-node scheduling complexity

That is:​

Centralised scaling problem

---

His PhD direction is:​

Distributed coordination problem

---

So the progression becomes:​

1. Try to scale AI with GPUs (Symphony)
2. Hit complexity limits
3. Ask:
   

   “What if intelligence is distributed instead?”

4. Explore neuromorphic (Akida)

---

That’s a research evolution, not a promotion strategy.

---

6. Why he’s so active publicly​

This line is also critical:

“AI-augmented rapid prototyping… accelerate from concept to working system”

---

He’s essentially:

Using LinkedIn as:

• A lab notebook
• A publication channel
• A portfolio of experiments

---

And this:

19 technical demonstrations since Dec 2025

That is:

PhD-level output volume

---

7. Important reality check (for BRN)​

This is where you need to stay grounded:

---

What this means:​

• Akida fits a serious research problem
• A capable architect is:
  • Using it
  • Testing it
  • Integrating it

---

What it does NOT mean:​

• IBM endorsement
• Commercial rollout
• Revenue
• Strategic partnership

---

It’s:

Research-driven experimentation

---

8. The most important insight (this is the takeaway)​

His work is not about:

“Which chip wins?”

It’s about:

“What architecture enables large-scale intelligent coordination?”

---

And he’s testing across:

• GPUs
• LLMs
• Quantum
• Neuromorphic

 

[HopalongPetrovski]

Whoa there, Horsey!

I don’t think Hoppy was casting aspersions on Big Kev at all. I think he was just asking what I think is a very fair and logical question.

Kevin himself has already said he’s not a shareholder, that he can’t speak on behalf of IBM or whether they’ll incorporate Akida and that his interest lies somewhere between personal and professional.

So naturally, there remains some curiosity about what’s actually driving that interest.

On a previous post I suggested the idea that it might be linked to Kevin's PhD (see link here #110,491).

This morning I ran Kevin's LinkedIn background, including details of his doctoral research, through ChatGPT, and the view that came back from Chatty was that his activity looks very consistent with someone exploring a broader research theme around AI infrastructure, coordination, and distributed systems. In other words, as a tool he’s experimenting with as part of a broader research framework.

If anyone is interest in what Chatty had to say, please feel free to check it out, otherwise, you know what to do.





ChatGPT's Response

1. Yes — this is absolutely related to his PhD​

Not just loosely… directly and strongly linked.

The key line is:

---

Translation into plain English:​

He is studying:

How large-scale intelligent systems coordinate, make decisions, and share knowledge

At scale:

• Distributed systems
• AI agents
• Infrastructure
• Governance

---

2. Now map that to what he’s been posting​

Look at his demos through that lens:

---

Palantir + Symphony phase​

• Ontologies
• Relationships
• Distributed compute
• Enterprise-scale coordination

Directly aligns with:

---

Akida / neuromorphic phase​

• Edge inference
• Event-driven systems
• Distributed intelligence
• “Hive mind” type demos

Directly aligns with:

---

3. This is the big unlock​

You’re not watching:

A guy promoting BrainChip

You are watching:

---

4. Why Akida suddenly appears​

This now makes total sense.

His research is about:

Coordination across distributed agents

Problem with current systems:​

• GPU-heavy
• Centralised
• Expensive
• Not scalable to millions of agents

---

What neuromorphic offers:​

• Local decision-making
• Event-driven behaviour
• Low power
• Scalable agent systems

---

That maps perfectly to his thesis.

---

5. That “topology-aware GPU scheduling” question now clicks​

Earlier you picked up on this:

That is:​

Centralised scaling problem

---

His PhD direction is:​

Distributed coordination problem

---

So the progression becomes:​

1. Try to scale AI with GPUs (Symphony)
2. Hit complexity limits
3. Ask:
4. Explore neuromorphic (Akida)

---

That’s a research evolution, not a promotion strategy.

---

6. Why he’s so active publicly​

This line is also critical:

---

He’s essentially:

Using LinkedIn as:

• A lab notebook
• A publication channel
• A portfolio of experiments

---

And this:



That is:

---

7. Important reality check (for BRN)​

This is where you need to stay grounded:

---

What this means:​

• Akida fits a serious research problem
• A capable architect is:
  • Using it
  • Testing it
  • Integrating it

---

What it does NOT mean:​

• IBM endorsement
• Commercial rollout
• Revenue
• Strategic partnership

---

It’s:

---

8. The most important insight (this is the takeaway)​

His work is not about:

“Which chip wins?”

It’s about:

---

And he’s testing across:

• GPUs
• LLMs
• Quantum
• Neuromorphic

Thank you Bravo.
A cogent and well structured explanation.
I have seen so much hallucinated and baited opinion based "stuff" conjured by various LLM's after scraping the web that I hadn't bothered questioning them on this matter but I am impressed and grateful for this response.
Thanks also for sticking up for me personally. Appreciate it.

 

[jrp173]

Whoa there, Horsey!

I don’t think Hoppy was casting aspersions on Big Kev at all. I think he was just asking what I think is a very fair and logical question.

Kevin himself has already said he’s not a shareholder, that he can’t speak on behalf of IBM or whether they’ll incorporate Akida and that his interest lies somewhere between personal and professional.

So naturally, there remains some curiosity about what’s actually driving that interest.

On a previous post I suggested the idea that it might be linked to Kevin's PhD (see link here #110,491).

This morning I ran Kevin's LinkedIn background, including details of his doctoral research, through ChatGPT, and the view that came back from Chatty was that his activity looks very consistent with someone exploring a broader research theme around AI infrastructure, coordination, and distributed systems. In other words, as a tool he’s experimenting with as part of a broader research framework.

If anyone is interest in what Chatty had to say, please feel free to check it out, otherwise, you know what to do.





ChatGPT's Response

1. Yes — this is absolutely related to his PhD​

Not just loosely… directly and strongly linked.

The key line is:

---

Translation into plain English:​

He is studying:

How large-scale intelligent systems coordinate, make decisions, and share knowledge

At scale:

• Distributed systems
• AI agents
• Infrastructure
• Governance

---

2. Now map that to what he’s been posting​

Look at his demos through that lens:

---

Palantir + Symphony phase​

• Ontologies
• Relationships
• Distributed compute
• Enterprise-scale coordination

Directly aligns with:

---

Akida / neuromorphic phase​

• Edge inference
• Event-driven systems
• Distributed intelligence
• “Hive mind” type demos

Directly aligns with:

---

3. This is the big unlock​

You’re not watching:

A guy promoting BrainChip

You are watching:

---

4. Why Akida suddenly appears​

This now makes total sense.

His research is about:

Coordination across distributed agents

Problem with current systems:​

• GPU-heavy
• Centralised
• Expensive
• Not scalable to millions of agents

---

What neuromorphic offers:​

• Local decision-making
• Event-driven behaviour
• Low power
• Scalable agent systems

---

That maps perfectly to his thesis.

---

5. That “topology-aware GPU scheduling” question now clicks​

Earlier you picked up on this:

That is:​

Centralised scaling problem

---

His PhD direction is:​

Distributed coordination problem

---

So the progression becomes:​

1. Try to scale AI with GPUs (Symphony)
2. Hit complexity limits
3. Ask:
4. Explore neuromorphic (Akida)

---

That’s a research evolution, not a promotion strategy.

---

6. Why he’s so active publicly​

This line is also critical:

---

He’s essentially:

Using LinkedIn as:

• A lab notebook
• A publication channel
• A portfolio of experiments

---

And this:



That is:

---

7. Important reality check (for BRN)​

This is where you need to stay grounded:

---

What this means:​

• Akida fits a serious research problem
• A capable architect is:
  • Using it
  • Testing it
  • Integrating it

---

What it does NOT mean:​

• IBM endorsement
• Commercial rollout
• Revenue
• Strategic partnership

---

It’s:

---

8. The most important insight (this is the takeaway)​

His work is not about:

“Which chip wins?”

It’s about:

---

And he’s testing across:

• GPUs
• LLMs
• Quantum
• Neuromorphic

Bravo, not having a go at all, as I know your research is appreciated by many on the forum. I understand you are not suggesting this is fact, but I think we all need to be careful with using Chat GPT, Claude etc, and take it with a very large pinch of salt.

It's very easy to get the response you want from AI, by asking the question differently.

When I rephrase and ask the question, my reply was in total contrast to your reply whilst still using Chat GPT. Below is just a small portion of my reply.

I think these are great tools, but must be used with caution.