BRN Discussion Ongoing

buena suerte :-)

BOB Bank of Brainchip
Even better to close on the daily high buena suerte, technically that is a good look along with the high volume, so we'll see what tomorrow brings.

Pico has no doubt created more interest and media coverage than anything BRN has managed previously - including the Mercedes announcement. There is clearly significantly more awareness of BRN in the marketplace, this can only be attributed to the technical prowess embodied in what BRN is offering now, and also the work of the sales team and Sean.

Go BRN
Hey McHale,

Yep agree great finishing on the daily high..... See how we go today!?

It is getting exciting now with BRN getting some serious media attention, It seems Pico has 'Piqued' the interest of many and has really given us the jump start we so needed with moving forward!

1728339804288.png


1728339655944.png



The next obvious and most important news we are all so patiently waiting for is from Brainchip themselves with that elusive

🙏📢 Price sensitive announcement 📢 🙏


Also we have this happening the next couple of days :)


1728339733935.png




Ok.....
1728339972737.png
1728339907331.png
1728339983154.png
it's over to you !!!! 🙏🙏🙏🙏🙏



Good luck Chippers
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
I knew TDK were looking into neuromorphic as posted last year but unfortunately not ours by looks.

Thoughts @Diogenese .

Maybe Anthony, Nandan, Anil or someone should get in touch haha

Excerpt start of blog. Rest in links.


https://product.tdk.com/en/techlibrary/developing/index.html

Solving AI Energy Problems with Neuromorphic Technology​


With the expansion of AI usage, the energy consumed by computers has been increasing explosively. TDK is developing a spin memristor, an analog memory element that electrically mimics the synapses in the human brain. Devices that utilize this technology, known as neuromorphic devices, are expected to be over 100 times more energy-efficient than conventional devices. This device technology can be manufactured using techniques similar to those currently used for MRAM*1 production. Leveraging its expertise in magnetic technology, developed through HDD heads and magnetic sensors, TDK aims to reduce the energy needed for AI and to discover new AI devices that can learn in real-time and adapt to their environment and users.
*1 MRAM:
Magnetoresistive Random Access Memory. Unlike conventional memory, data does not disappear (non-volatile). This allows for reduction in calculation and standby power as it can be quickly started even if the circuit power is turned off.

Contents​



Fortunately they are a long way behind us on the development and commercialisation path.


Screenshot 2024-10-08 at 9.28.48 am.png
 
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Earlyrelease

Regular
Nobody has mentioned half yearly that came out yesterday


world’s first commercial producer of neuromorphic artificial intelligence IP, today released its Half
Year results for the period ended 30 June 2024.
During the first half of 2024, the Company focused its efforts on expanding the capabilities of the
Akida 2.0 technology through continued development of our TENNs platform. These initiatives are
a direct response to customer inquiries and feedback which reflect the market’s rapidly growing
interest for ultra-low power edge AI. The Company has seen growing interest from customers
seeking audio, video, space and military application solutions. Development efforts will continue
throughout the remainder of the year, with anticipated offerings and updates in Q1 of 2025.
The Company continued to implement cost reduction initiatives throughout the period in an effort to
preserve cash. Management continually assesses opportunities to reduce expenses without
hampering critical sales and development activities, or hindering recruiting and retention efforts
that are extremely challenging in the AI and tech industry. This is an ongoing effort and additional
cost reduction initiatives are anticipated in the second half of the year.
Significant Events After 30 June 2024
Subsequent to the balance sheet date, the Company received US$3,645,104 (A$5,465,128) upon
the closure of the capital call notice with LDA Capital on 28 June 2024.
On 25 July 2024, the Company announced:
• an equity capital raise of A$25 million comprising a fully underwritten share placement to
professional and sophisticated investors raising A$20 million before costs (“Placement”),
• the sale of A$2 million (before costs) of existing securities from LDA Capital (“Existing
Share Sale’), and
• a non-underwritten share purchase plan (“SPP”) to be offered to eligible Australian and
New Zealand shareholders to raise a further A$3 million.
The Company received US$13,606,629 (A$20,941,007) (net cash after costs) on 31 July 2024 to
close out the Placement and the Existing Share Sale transactions, with 103,245,355 shares issued
on 1 August 2024.
The SPP offer closed on 15 August 2024 resulting in the issue of 3,274,604 shares on 22 August
2024 and cash received by BrainChip of US$425,838 (A$632,013).
Business progress reflected in key appointments
In August, the Company announced the addition of Steven Brightfield to the executive team as the
Chief Marketing Officer.
Also in late August, the Company formally appointed Jonathan Tapson as the permanent Vice
President of Engineering, replacing Anil Mankar who is currently serving as a technical advisor
until his retirement at the end of this year.
Engagement with Frontgrade-Geisler subsequent to half year end
Also in August, the Company signed two agreements totalling €190k for projects with Frontgrade
Gaisler and Airbus Defense and Space to provide customers with AI capabilities for space
applications using Akida 1.0 technology.
These two projects were initiated in response to a European Space Agency request for ultra-low
power, neuromorphic, edge AI computing in space to enable future missions to the moon and
beyond. Due to the nature, timing and risk associated with these projects, it is not possible for the
Company to estimate future royalty revenues associated with these agreements.
Financial Summary
The Group made a net loss after income tax for the half-year ended 30 June 2024 of $11,517,767
(30 June 2023: $17,146,781). Revenue for the half-year ended 30 June 2024 of $106,693
decreased 8% from $115,606 in the same period a year ago. Total expenses for the half-year
ended 30 June 2024 of $11,690,959 decreased 31% from $16,851,241 reported in the half-year
ended 30 June 2023.
As a result of the Half Year financial close process, the Company completed an assessment of the
recoverability of the Group’s assets after considering impairment indicators such as high global
interest rates and the challenge of inconsistent revenue streams during the start-up phase.
Management completed a value-in-use discounted cashflow model based on a 5-year projection
period with a terminal value. Management determined that it would be prudent to impair the
carrying value of the intangible assets of $576,037, despite the Company’s confidence that the
technology remains on track. It should be noted that the impairment is a non-cash charge and has
no impact on the Company’s liquidity or ability to continue as a going concern.
This announcement is authorised for release by the BRN Board of Directors.
____________________________________________________________________________
About BrainChip Holdings Ltd (ASX: BRN)
BrainChip is the worldwide leader in edge AI on-chip processing and learning. The Company’s
first-to-market neuromorphic processor, AkidaTM, mimics the human brain to analyse only essential
sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision,
and economy of energy. Keeping machine learning local to the chip, independent of the cloud, also
dramatically reduces latency while improving privacy and data security. In enabling effective edge
compute to be universally deployable across real world applications such as connected cars,
consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor,
is the future for its customers’ products as well as the planet. Explore the benefits of Essential AI at
www.brainchip.com.
______________________________________________________________________________
Additional information is available at:
Investor Relations Contact: IR@brainchip.com
Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc
Follow BrainChip on LinkedIn: https://www.linkedin.com/company/7792006
 
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Earlyrelease

Regular


View attachment 70500 View attachment 70501
Love lamps
I am looking at your post and can somebody correct me. We haven’t committed to making Pico on chip or released anything to market about making this chip so has this guy let something out of the bag or is this person stating what could occur going forward based on publically known information and some assumptions. As the line

Akida Pico: a very low power NPU to bring Al
to any device with a battery or batteries. This chip is manufactured by GlobalFoundries at a 22 nm FDSOI (22FDX) manufacturing process.

This is in past tense and suggests this has occurred???
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!

New Partnerships Push AI to the Edge​

Two recent partnerships show how advanced AI is moving to the edge.
This movement, similar to "edge computing" in which data is processed closer to its source, sees AI models being deployed and executed on outlying devices, allowing for real-time analysis and decision-making without relying on a central server. In essence, Edge AI is a subset of edge computing, enabling AI applications to operate more efficiently and effectively in real-time scenarios.
Edge AI has been around since dawn of the "AI era," but industry partnerships show how it's advancing as the entire space matures. Such partnerships have long served to indicate where tech trends are heading, and two similar announcements about similar topics in a short time are notable.
Global Edge AI Market [Click on image for larger view.]Global Edge AI Market (source: market.us).

Last week, a company called Edgescale AI emerged from stealth to partner with Palantir to launch a new Live Edge solution. A couple weeks earlier, ZEDEDA and Edge Impulse announced a partnership providing end-to-end automation of AI model development, deployment and orchestrating at scale. Here's a look at those two developments.
Live Edge
"The next phase of AI is operating on real-world data," said Brian Mengwasser, the co-founder and CEO of newly emergent Edgescale AI, in a news release. "We've reimagined and reinvented the cloud to encompass physical devices, where data comes from and actions have real-world impact. We eliminate the friction for our customers to deploy the latest AI capabilities anywhere. We're proud to launch this breakthrough first with Palantir, the category leader in production-grade AI."
Live Edge [Click on image for larger view.]Live Edge (source: Palantir).
Palantir, meanwhile, announced the news in a blog post. "In today's rapidly evolving technological landscape, enterprises use centralized cloud for integrating information, improving applications, and curating AI models on flexible infrastructure. However, the full potential of AI remains untapped in physical systems at the edge where infrastructure tends to be rigid or absent. To address this, Palantir and Edgescale AI partnered to extend the value of cloud-like infrastructure and bring AI into the physical edge ecosystem — into the real world."
The platform integrates Palantir's Edge AI capabilities with Edgescale AI's distributed infrastructure, enabling real-time processing of operational data from Internet of Things (IoT) devices in physical systems. This collaboration aims to address the challenges of applying AI in industries where automation and smarter decision-making can transform operations.
At its core, the new Live Edge offering provides a cloud-native solution that automates the creation of Virtual Connected Edges (VCEs), distributed cloud environments that allow AI to directly interact with physical devices, enhancing data flow and decision-making across connected systems. These VCEs eliminate the complexity and friction of deploying AI on-site, making it easier for industries to integrate advanced AI functionalities without the infrastructure overhead typically associated with such deployments.
ZEDEDA/Edge Impulse
These companies teamed up to provide end-to-end automation of AI model development, deployment and orchestrating at scale.
ZEDEDA sells an edge orchestration and management solution delivering applications and workloads to edge devices, while Edge Impulse streamlines the creation of AI and machine learning models for edge hardware, allowing devices to make decisions and offer insight where data is gathered.

Implementing AI at the edge is often complex, requiring collaboration between IT and operational technology (OT) teams. However, with this partnership, customers can reportedly deploy their Edge Impulse AI models via the ZEDEDA Marketplace in a secure, single-click process, alongside other applications, to multiple devices. The system also includes automatic model monitoring, which feeds relevant data back for continuous retraining. Additionally, extensive partner ecosystems are said to offer a variety of technologies to further advance edge computing projects.
"We're witnessing firsthand the explosive growth of AI and data-driven initiatives throughout our customer base and have seen the challenges inherent in delivering and iterating these projects within remote and distributed environments," said Said Ouissal, ZEDEDA's CEO and founder, in a news release. "Edge Impulse's leadership in delivering Edge AI models is a great complement to ZEDEDA's expertise in orchestrating and securing edge applications and devices at scale, and I'm delighted to offer our customers a comprehensive solution to streamline and accelerate their AI transformation efforts."
The companies cited research indicating the adoption of AI/ML at the edge is surging, noting that researchfirm Gartner predicted that by 2026, at least 50% of edge computing deployments will involve machine learning, which is up from 5% in 2022. Gartner also predicted that by 2029, at least 60% of edge computing deployments will use composite AI, compared to less than 5% in 2023. The firm defines composite AI as both predictive and generative AI (GenAI).
Trends & Benefits
Speaking of research, the Cloud Native Computing Foundation (CNCF) recently published "Top 3 edge AI trends to look for in 2024," which states that during this year, "One of the most exciting developments is the convergence of AI and edge computing."
The top three trends are:
  • DevEdgeOps: "The significant ascent of edge computing has resulted in a paradigm shift in data processing and utilization. Edge computing, unlike traditional cloud-based methods, places computational resources closer to the data source. This shift in architecture introduces new complexities and opportunities for DevOps."
  • AI Interaction across Edge and Cloud: "The future of AI lies in the seamless integration of edge and cloud computing in forthcoming years. AI workloads will dynamically move between the edge and the cloud, leveraging each of their strengths. The cloud will train complex AI models, while the edge will handle real-time inferencing, ensuring fast responses. Next-gen Edge platforms will support end-to-end automation, delivering comprehensive solutions across multi-cloud and edge environments."
  • Micro AI: "2024 will see the rise of Micro AI—lightweight, hyper-efficient AI models for edge devices like smartwatches, IoT sensors, drones, and home appliances. These tiny AI brains enable real-time data processing and decision-making without cloud reliance. Key innovations include better algorithms, enhanced energy efficiency, and broader applications. Micro AI helps enterprises in the following ways."
And earlier in the year, Wevolver published its "2024 State of Edge AI Report." It examines Edge AI across different markets along with various other aspects of the movement.
"Today, a lot of data processing is being decentralized from large cloud data centers to smaller localized data centers and edge devices," the report said. "This has enabled the emergence of Edge AI, which processes data at or near the source of data generation. Many organizations are deploying edge functionalities, resulting in energy-efficient, low-latency applications with real-time performance. Edge AI offers significant data protection and security benefits, making it an attractive proposition for organizations across sectors to use edge computing features for various use cases."
Further research was published by Cornell University in July, titled "Edge AI: A Taxonomy, Systematic Review and Future Directions," which said, " Despite being a relatively new field of research, spanning from 2014 to the present, it has shown significant and rapid development over the last five years."
Another paper, "Revisiting Edge AI: Opportunities and Challenges," was published this summer by IEEE, whose abstract reads: "Edge artificial intelligence (AI) is an innovative computing paradigm that aims to shift the training and inference of machine learning models to the edge of the network. This paradigm offers the opportunity to significantly impact our everyday lives with new services such as autonomous driving and ubiquitous personalized health care. Nevertheless, bringing intelligence to the edge involves several major challenges, which include the need to constrain model architecture designs, the secure distribution and execution of the trained models, and the substantial network load required to distribute the models and data collected for training."
With all of the above happening in such a short time, it's clear Edge AI is gaining steam, so stay tuned to see what happens next in the space.


 
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7für7

Top 20
Love lamps
I am looking at your post and can somebody correct me. We haven’t committed to making Pico on chip or released anything to market about making this chip so has this guy let something out of the bag or is this person stating what could occur going forward based on publically known information and some assumptions. As the line

Akida Pico: a very low power NPU to bring Al
to any device with a battery or batteries. This chip is manufactured by GlobalFoundries at a 22 nm FDSOI (22FDX) manufacturing process.

This is in past tense and suggests this has occurred???
Or maybe just a misunderstanding… maybe he don’t know that brainchips akida is a license product. 🤷🏻‍♂️
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
cats-lil-bub.gif



Screenshot 2024-10-08 at 9.56.53 am.png





Ericsson-10.7-1-1024x572.png

Ericsson and SoftBank Corp. step up collaboration on AI-RAN integration to enhance network efficiency and performance​

Ericsson Media Release | Oct 7, 2024
Ericsson (NASDAQ: ERIC) and SoftBank Corp. (“SoftBank”) today announced a collaboration to explore converged architectures for AI-RAN. By combining their strengths, the two companies aim to explore the potential for developing new AI-integrated RAN solutions that
boost network efficiency and performance.

A woman looking up with an AI illustration in the background

Ericsson and SoftBank will explore common network and compute infrastructure solutions that allow both Artificial Intelligence (AI) and Radio Access Network (RAN) to operate on the same network infrastructure. The goal is to unlock new use cases for communications service providers by using the power of AI to enhance network efficiency.
The two companies will jointly conduct techno-economic analyses, develop prototypes and run lab demos to optimize RAN and AI convergence at the edge. The initiative will also focus on hardware partitioning, workload distribution, and software portability across different hardware platforms.
Ericsson and SoftBank will jointly explore the following key areas:
  • Optimizing AI and RAN convergence: optimizing architectures to support AI and RAN working together at the edge, with a focus on Centralized RAN (C-RAN). including assessing the pros and cons of shared hardware AI and RAN processing.
  • AI and RAN co-existence: managing hardware and workload sharing between AI and RAN applications.
  • Engineering demos: testing the possibility of running RAN applications and AI engines on the same hardware infrastructure to see how they can share resources.
Fredrik Jejdling, Executive Vice President and Head of Business Area Networks, Ericsson says: “We look forward to this collaboration with SoftBank in exploring the potential convergence of AI and RAN infrastructures. This reaffirms our commitment to innovation and excellence, and we believe it will lead to new solutions that empower communications service providers to build more open, efficient and versatile networks.”
Hideyuki Tsukuda, Executive Vice President & CTO (Chief Technology Officer) at SoftBank Corp., says: “SoftBank welcomes this new collaboration with Ericsson, which aligns with our strategy to invest in AI infrastructure that enables the overlay and optimization of RAN. This partnership reflects our vision of leveraging AI to enhance communication networks and opens up opportunities for collaboration with key industry players.”
Ericsson and SoftBank are among the prominent industry leaders who formed the AI-RAN Alliance, unveiled at the Mobile World Congress Barcelona 2024. This alliance is a new collaborative effort to integrate AI into cellular technology, with the goal of progressing RAN technology and mobile networks.


 
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Some Mad action at the moment..
 
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Justchilln

Regular
Nobody has mentioned half yearly that came out yesterday


world’s first commercial producer of neuromorphic artificial intelligence IP, today released its Half
Year results for the period ended 30 June 2024.
During the first half of 2024, the Company focused its efforts on expanding the capabilities of the
Akida 2.0 technology through continued development of our TENNs platform. These initiatives are
a direct response to customer inquiries and feedback which reflect the market’s rapidly growing
interest for ultra-low power edge AI. The Company has seen growing interest from customers
seeking audio, video, space and military application solutions. Development efforts will continue
throughout the remainder of the year, with anticipated offerings and updates in Q1 of 2025.
The Company continued to implement cost reduction initiatives throughout the period in an effort to
preserve cash. Management continually assesses opportunities to reduce expenses without
hampering critical sales and development activities, or hindering recruiting and retention efforts
that are extremely challenging in the AI and tech industry. This is an ongoing effort and additional
cost reduction initiatives are anticipated in the second half of the year.
Significant Events After 30 June 2024
Subsequent to the balance sheet date, the Company received US$3,645,104 (A$5,465,128) upon
the closure of the capital call notice with LDA Capital on 28 June 2024.
On 25 July 2024, the Company announced:
• an equity capital raise of A$25 million comprising a fully underwritten share placement to
professional and sophisticated investors raising A$20 million before costs (“Placement”),
• the sale of A$2 million (before costs) of existing securities from LDA Capital (“Existing
Share Sale’), and
• a non-underwritten share purchase plan (“SPP”) to be offered to eligible Australian and
New Zealand shareholders to raise a further A$3 million.
The Company received US$13,606,629 (A$20,941,007) (net cash after costs) on 31 July 2024 to
close out the Placement and the Existing Share Sale transactions, with 103,245,355 shares issued
on 1 August 2024.
The SPP offer closed on 15 August 2024 resulting in the issue of 3,274,604 shares on 22 August
2024 and cash received by BrainChip of US$425,838 (A$632,013).
Business progress reflected in key appointments
In August, the Company announced the addition of Steven Brightfield to the executive team as the
Chief Marketing Officer.
Also in late August, the Company formally appointed Jonathan Tapson as the permanent Vice
President of Engineering, replacing Anil Mankar who is currently serving as a technical advisor
until his retirement at the end of this year.
Engagement with Frontgrade-Geisler subsequent to half year end
Also in August, the Company signed two agreements totalling €190k for projects with Frontgrade
Gaisler and Airbus Defense and Space to provide customers with AI capabilities for space
applications using Akida 1.0 technology.
These two projects were initiated in response to a European Space Agency request for ultra-low
power, neuromorphic, edge AI computing in space to enable future missions to the moon and
beyond. Due to the nature, timing and risk associated with these projects, it is not possible for the
Company to estimate future royalty revenues associated with these agreements.
Financial Summary
The Group made a net loss after income tax for the half-year ended 30 June 2024 of $11,517,767
(30 June 2023: $17,146,781). Revenue for the half-year ended 30 June 2024 of $106,693
decreased 8% from $115,606 in the same period a year ago. Total expenses for the half-year
ended 30 June 2024 of $11,690,959 decreased 31% from $16,851,241 reported in the half-year
ended 30 June 2023.
As a result of the Half Year financial close process, the Company completed an assessment of the
recoverability of the Group’s assets after considering impairment indicators such as high global
interest rates and the challenge of inconsistent revenue streams during the start-up phase.
Management completed a value-in-use discounted cashflow model based on a 5-year projection
period with a terminal value. Management determined that it would be prudent to impair the
carrying value of the intangible assets of $576,037, despite the Company’s confidence that the
technology remains on track. It should be noted that the impairment is a non-cash charge and has
no impact on the Company’s liquidity or ability to continue as a going concern.
This announcement is authorised for release by the BRN Board of Directors.
____________________________________________________________________________
About BrainChip Holdings Ltd (ASX: BRN)
BrainChip is the worldwide leader in edge AI on-chip processing and learning. The Company’s
first-to-market neuromorphic processor, AkidaTM, mimics the human brain to analyse only essential
sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision,
and economy of energy. Keeping machine learning local to the chip, independent of the cloud, also
dramatically reduces latency while improving privacy and data security. In enabling effective edge
compute to be universally deployable across real world applications such as connected cars,
consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor,
is the future for its customers’ products as well as the planet. Explore the benefits of Essential AI at
www.brainchip.com.
______________________________________________________________________________
Additional information is available at:
Investor Relations Contact: IR@brainchip.com
Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc
Follow BrainChip on LinkedIn: https://www.linkedin.com/company/7792006
That was released Aug 26
 
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GDJR69

Regular
Strange that the SP is climbing so much at the moment with no news. I'm not complaining but I do find it odd.
 
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7für7

Top 20
Strange that the SP is climbing so much at the moment with no news. I'm not complaining but I do find it odd.


Enjoy the ride 🤙🤙

1728346335525.gif
 
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7für7

Top 20
I find it even more remarkable that Nintendo has delayed the release of the new Switch. Only now we are hearing about Pico from BrainChip, which makes its use in the Switch more plausible. I’m not saying that these are related, but the timing is somewhat noteworthy… We’ll see.
 
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HopalongPetrovski

I'm Spartacus!
Some Mad action at the moment..
Nice to see it maintaining some decent volumes through too.
Seems to me that it got started when the data on Pico was released to the writers and contributors who would have extensive networks, and then consolidated a few days later when the articles started appearing and Jo Average became aware. Since then, a steady demand with some cashing out thinking the pump reaching its peak, and others cashing in with the expectation or hope of some official announcement of something concrete and substantial dropping, to turbo charge this rise further.
 
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Dr E Brown

Regular
Nice to see it maintaining some decent volumes through too.
Seems to me that it got started when the data on Pico was released to the writers and contributors who would have extensive networks, and then consolidated a few days later when the articles started appearing and Jo Average became aware. Since then, a steady demand with some cashing out thinking the pump reaching its peak, and others cashing in with the expectation or hope of some official announcement of something concrete and substantial dropping, to turbo charge this rise further.
I really hope you are right and we have turned a corner, but I am cautious after seeing this happen before just before a quarterly and then a dump on the announcement.
My sincere hope is that this quarterly shows some revenue with positive forward looking commentary, then we can maintain this slow accretion in sp.
 
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7für7

Top 20
I really hope you are right and we have turned a corner, but I am cautious after seeing this happen before just before a quarterly and then a dump on the announcement.
My sincere hope is that this quarterly shows some revenue with positive forward looking commentary, then we can maintain this slow accretion in sp.
Says the bro with a time machine in the garage, but without the 1000 gigawatts of power to run it… Don’t you have storms with lightning in Australia? Or another question… Haven’t you converted your time machine to run on garbage yet? I’m asking for Marty.

1728355144985.gif
 
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As pointed out on HC, looks like the sudden drop in the SP just now may have something to do with today's actions on the Hang Seng. Currently down 6%.
 
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7für7

Top 20
As pointed out on HC, looks like the sudden drop in the SP just now may have something to do with today's actions on the Hang Seng. Currently down 6%.

As I walk through the charts of the valley of tech,
I take a look at BrainChip, and it’s looking like wrecked…

Been spending most our lives, living in a Shorter’s Paradise,
Keep betting on the drop, like we’re rolling loaded dice,
Been spending most our lives, living in a Shorter’s Paradise,
Watch the price tumble down, it’s the bears who pay the price.

1728360463337.gif
 
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IloveLamp

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Luppo71

Founding Member
I'm not sure if this has been posted already, but is it Sean that is in the photo below, with Mikhail Asavkin?


View attachment 70040
If that is ten years in the future, then yes it is.
 
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Diogenese

Top 20
Today, 33 million shares have been sold at or under 28c.

Was this wise?
 
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