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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.
overpup
Regular
"Tomorrow's the Day!" - that could be BrainChip's new slogan!
#brainchip #akidacloud #ai #edgeai #developers | BrainChip
Tomorrow’s the day! Join us for an exclusive webinar on our new BrainChip Developer Akida Cloud: a new platform providing instant, hardware-free access to our next-generation Akida™ technology. Akida Cloud enables real-time evaluation of our ultra-low-power, event-based architecture across...www.linkedin.com
Pom down under
Top 20
Anyone one have an idea as to weather BRN will be exiting the ASX300 index with Sept rebalance.
MegaportX
There is a shower of a chance.Anyone one have an idea as to weather BRN will be exiting the ASX300 index with Sept rebalance.
MegaportX
Space Cadet
Regular
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.Anyone one have an idea as to weather BRN will be exiting the ASX300 index with Sept rebalance.
MegaportX
SC
Pom down under
Top 20
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.
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
Newk R
Regular
I think it may be a bit stormy.Anyone one have an idea as to weather BRN will be exiting the ASX300 index with Sept rebalance.
MegaportX
Pom down under
Top 20
#eventbasedvision #raspberrypi5 #neuromorphicvision #embeddedvision #computervision #iot #robotics #surveillance #edgeai #machinevision #eventcamera | PROPHESEE
💥 [BREAKING] Prophesee brings event-based vision to Raspberry Pi 5 with the GenX320 Starter Kit! For the first time, Prophesee makes its frameless sensing technology accessible to the Raspberry Pi® developer community, providing an efficient, cost-effective way to leverage low-power, high-speed...
Brain-Inspired AI Is Coming Faster Than You Think
Neuromorphic chips mimic the brain to deliver faster, lower-power AI. Explore where this next-gen tech could make the biggest impact.
investorplace.com
"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.
Why BrainChip’s SSM Edge AI Tech is Set to Dominate the $20B+ Market
Why BrainChip’s SSM Edge AI Tech is Set to Dominate the $20B+ Market
www.ainvest.com
Act now—before the market’s next move leaves you in the dust."
The reason why Visionairies invest in Brainchip.
Hi Rach,
#eventbasedvision #raspberrypi5 #neuromorphicvision #embeddedvision #computervision #iot #robotics #surveillance #edgeai #machinevision #eventcamera | PROPHESEE
💥 [BREAKING] Prophesee brings event-based vision to Raspberry Pi 5 with the GenX320 Starter Kit! For the first time, Prophesee makes its frameless sensing technology accessible to the Raspberry Pi® developer community, providing an efficient, cost-effective way to leverage low-power, high-speed...
It looks like the AMD Kira Kv 260 doesn't do SNNs:
https://www.amd.com/en/products/system-on-modules/kria/k26/kv260-vision-starter-kit.html
Kria KV260 Vision AI Starter Kit
by: AMDThe development platform for AMD Kria™ K26 SOMs, the KV260 Starter Kit is built for advanced vision application development without requiring complex hardware design knowledge. Power supply sold separately.
- Price: $249.00 MSRP
- Part Number:
- SK-KV260-G
- Lead Time: 12 weeks
- Device Support: Zynq UltraScale+ MPSoC
This is the Prophesee Product Brief link:
https://www.prophesee.ai/wp-content...60-STARTER-KIT-GENX230-Product-Brief-2025.pdf
The KRIA STARTER KIT hardware is based on the GenX320 event-based vision sensor, mounted in a CCAM5 lensed module on flex, to be connected to the KV260 development platform for Kria K26 SOMs. Software drivers and source code is provided by Prophesee. The Kria KV260 Vision AI Starter Kit is an evaluation platform for the K26 SOM focused on machine learning (ML) acceleration in vision applications. The kit brings together a Zynq UltraScale+ MPSoC based SOM with user selectable, vision focused peripherals and a set of pre-built accelerated applications. While the SOM itself has broad AI/ML applicability across markets and applications, target applications for the KRIA-GenX320 STARTER KIT include smart city and machine vision, security cameras, on-the-edge smart cameras and other industrial applications. The integrated combination of hardware, platform, and software provides a quick out-of-box experience for developers that can then be leveraged for new product designs with rapid time to market.
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The case for Neuromorphic AI at the Edge just keeps growing:
Frontiers | Advancing Adaptive and Energy-Efficient Neuromorphic Computing for Real-Time Edge AI and Robotics
" The growing requirements for intelligent automation in areas ranging from IoT to autonomous robotics necessitate a departure from conventional resource-heavy computing methods. Neuromorphic computing emerges as a formidable contender in this space, leveraging its bio-inspired designs to facilitate power-conserving, event-driven operations through advanced SNNs and hardware solutions."
Frontiers | Advancing Adaptive and Energy-Efficient Neuromorphic Computing for Real-Time Edge AI and Robotics
" The growing requirements for intelligent automation in areas ranging from IoT to autonomous robotics necessitate a departure from conventional resource-heavy computing methods. Neuromorphic computing emerges as a formidable contender in this space, leveraging its bio-inspired designs to facilitate power-conserving, event-driven operations through advanced SNNs and hardware solutions."
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