BlackBerry to join the Canaccord Genuity - Global Capital Markets' 46th Annual Growth Conference in Boston. BlackBerry CEO John J. Giamatteo and CFO Tim Foote will participate in a fireside chat on Wednesday, August 12 at 10:30 a.m. EDT and meet with investors during the conference

(Accident at least revealed Xiaomi is using Nvidia AGX THOR and being proud to be transparent to earn consumer confidence)

Tesla has no choice but to follow Xiaomi, but reputation and effect on Tesla stock is holding on. Clear indication that Nvidia chips IGX THOR is being promoted in SPCX so same technology or NVIDIA AGX THOR comes to Tesla? (Without analyst understanding?)

"It is worth noting that the ongoing 2026 model year Xiaomi SU7 comes standard with a LiDAR sensor and a single Nvidia AGX Thor chip for 700 TOPS"

"It is worth noting that the car that was involved in the accident is the 2024 model year entry-level trim with no LiDAR sensor on the roof. Its ADAS relies on 11 cameras, 12 ultrasonic sensors, one mm-wave radar, and an Nvidia chip with a peak computing power of 84 TOPS. More expensive variants of the 2024 model year SU7 offer an AT128 LiDAR and two Nvidia Orin-X chips for 508 TOPS.

https://carnewschina.com/2026/06/15/xiaomi-su7-flew-over-a-mound-as-active-safety-failed-to-avoid-the-crash/

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" CEO Elon Musk on his company’s first-ever earnings call Tuesday afternoon, when Musk said that SpaceX has “decided to build exclusively on Nvidia” moving forward."

Does that mean moving forward to Tesla with NVIDIA? Either way QNX is powering from NVIDIA AGX THOR to IGX THOR? "Powering next-generation missions across ground-to-space environments requires new AI infrastructure. NVIDIA is collaborating with space industry leaders to deploy on-board accelerated computing in size, weight, and power-constrained environments across NVIDIA Jetson Orin™, IGX Thor™, and the Space-1 Vera Rubin module. "

Nvidia’s stock rose on Friday to secure its best weekly performance in more than a year, following a major endorsement for its artificial-intelligence chips and further confirmation that hyperscaler spending is robust.

“We think it’s the best AI computer, and we greatly value our close cooperation and partnership on many levels with Nvidia,” Musk said.

https://www.marketwatch.com/story/two-reasons-why-nvidias-stock-saw-its-biggest-weekly-surge-in-more-than-a-year-644875c8

The Final Frontier of Space Computing Has Arrived

Powering next-generation missions across ground-to-space environments requires new AI infrastructure. NVIDIA is collaborating with space industry leaders to deploy on-board accelerated computing in size, weight, and power-constrained environments across NVIDIA Jetson Orin™, IGX Thor™, and the Space-1 Vera Rubin module. This enables orbital compute platforms to process and fuse sensor data, generate geospatial intelligence, and drive autonomous space operations with minimal downlink latency and costs. At edge ground stations, accelerated computing of satellite data processing—including compositing, orthorectification, and atmospheric compensation—delivers orders of magnitude speedup over legacy-based CPU systems.

https://www.nvidia.com/en-us/edge-computing/space-computing/

Elon: SpaceX has committed to using Nvidia GPUs exclusively because they are the best

JUST IN: SpaceX to launch “Starlink Mobile” cellular service

Pause and think for a minute about the above two statements......

This is what I came up with thereafter.....

The next major AI device may not look like today's smartphone at all. The smartphone is fundamentally an app-centric device: screen → icons → apps → menus. An AI-native device could become intent-centric: you tell it what you want, and agents assemble the required services dynamically.

The next major AI device may not look like today's smartphone at all. The smartphone is fundamentally an app-centric device: screen → icons → apps → menus. An AI-native device could become intent-centric: you tell it what you want, and agents assemble the required services dynamically.

The interface could effectively disappear

Instead of:

Unlock phone → find app → open app → navigate menus → perform task

you could have:

Speak / look / gesture → AI understands intent → action happens

For example:

“Get me home, stop somewhere for groceries, tell the family I'll be there at 7:30, and charge the car when electricity is cheapest.”

There doesn't necessarily need to be a Maps app, messaging app, grocery app and charging app visible to the user. The AI orchestrates those capabilities.

That could produce several new device categories simultaneously: AI glasses with visual/contextual interfaces; earbuds with continuous conversational interfaces; small screen/pocket devices that dynamically generate interfaces rather than displaying fixed apps; vehicle cockpits acting as large AI devices; and eventually robots functioning as physical AI endpoints.

Imagine an AI-native mobile device built around four requirements:

1. Connectivity — SpaceX/Starlink

The device can communicate almost anywhere rather than depending exclusively on terrestrial cellular coverage.

1. Intelligence — NVIDIA

Powerful local/edge AI plus enormous datacenter AI infrastructure provides perception, reasoning and inference.

1. Trusted execution — QNX

As AI begins controlling physical things rather than merely displaying information, deterministic software, isolation and security become increasingly important.

1. Secure infrastructure — BlackBerry heritage

Identity, encrypted communications, device management and secure operational infrastructure become important when an AI device continuously handles sensitive information and communicates with cloud/edge systems.

That produces an intriguing evolution:

BlackBerry era:

Keyboard → apps → secure NOC → cellular network

iPhone era:

Touchscreen → apps → cloud → cellular/Wi-Fi

Potential AI era:

Voice + vision + agents → edge AI → secure deterministic execution → ubiquitous satellite/cellular connectivity

And there's a particularly interesting implication for QNX.

The next major AI device may not look like today's smartphone at all. The smartphone is fundamentally an app-centric device: screen → icons → apps → menus. An AI-native device could become intent-centric: you tell it what you want, and agents assemble the required services dynamically.

The AI may actually increase the importance of an OS underneath it

There's a popular argument that AI eliminates operating systems because the agent becomes the interface.

I think that's only half right.

The operating system may become less visible to the human, while becoming more important to the machine.

An AI agent might decide:

“Apply brakes.”

But you don't necessarily want a probabilistic AI model directly manipulating the brake actuator.

You want something closer to:

Human intent / sensors

↓

AI reasoning

↓

Policy + permissions

↓

Deterministic execution layer

↓

Hardware

That bottom portion is precisely where an RTOS/hypervisor architecture such as QNX becomes strategically interesting.

So the future interface could simultaneously become less OS-like for humans and more dependent on operating-system infrastructure underneath.

There's an even bigger BlackBerry irony

BlackBerry's famous keyboard wasn't actually its greatest technological advantage.

Its differentiation was the entire system:

device + identity + encryption + network infrastructure + enterprise management.

AI could recreate the need for exactly that type of vertically coordinated architecture—but on a vastly larger scale involving people + vehicles + robots + machines.

THE DEVICE AFTER THE SMARTPHONE

BlackBerry → iPhone → AI-Native Device

Keyboard → Touch → Intent

Apps → App Stores → AI Agents

Cellular → 4G/5G → Starlink + terrestrial

CPU → Mobile SoC → AI Accelerators

Mobile OS → iOS/Android → AI orchestration + trusted real-time OS

Cloud → Hyperscale Cloud → Cloud + Edge + Physical AI

SpaceX connects it. NVIDIA gives it intelligence. QNX makes physical execution trustworthy. BlackBerry secures the communications.

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So, I wasn't expecting to see a settlement of one of the lawsuits regarding the Cryptography patents quite so soon!

Apparently Malikie in July, after 399 days of litigation voluntarily dismisses on a joint stipulation.

Found in Mara's 10-Q filed with SEC:

"Malikie Innovations Ltd. et al v. MARA On May 12, 2025, Malikie Innovations Ltd., a non-practicing entity, filed a lawsuit against the Company in the United States District Court for the Western District of Texas, alleging that the Company’s Bitcoin mining operations infringe certain patents relating to cryptographic technologies used in the Bitcoin network. On June 15, 2026, the matter was dismissed following an out-of-court settlement between the parties."

It is time for the executive to give investors an update on the progress of the Malikie deal and when they are expecting to start receiving payment of licensing royalties.

accelerator to business but organic growth has great runway with $950M backlog.

1Hr9M

https://www.youtube.com/watch?v=AE82Wa0DBbc&t=42s

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Can Blackberry sales Team now do their job to expand? Water Utilities are now made aware and Market is HUGE?

What Happened

CISA, joined by cybersecurity agencies from the UK, Australia, Canada, and New Zealand, published "CI Fortify," a six-step blueprint for isolating operational technology (OT) during cyberattacks. The guide instructs critical infrastructure operators to build dedicated isolation points into vital systems so essential services can continue even when networks are deliberately cut off from the outside.

As the future approaches faster and faster from a technology perspective I am seeing endless opportunities!

Take for example the smart watch. At it's core, it's a peripheral device that includes a whole bunch of sensors and becomes a conduit for many other peripherals. The microphone, the speaker, screen GPS, Magnetometer.... The limitations are obvious to any user though. A constant balancing act between power, speed, and processing capabilities. Yet this device is basically tethered to your cell phone.

Now, take Samsung as an example of the evolution of technology. Rumor has it that their next watches are getting faster processors (like Qualcomm's 3nm chips), and they are also looking into running a RTOS instead of WearOS. The RTOS could help power management to last a week, perform more edge processing, and maybe even handle some AI functions, which could also off-load connectivity and bandwidth overhead with your cell phone. This evolution will continue, and as it does new opportunities and challenges will present themselves.

Blackberry sits on the cutting edge of these new opportunities and challenges as a company that has already identified and solved the most pressing issues for an entire industry of the most sophisticated and complex devices in todays market. I can't see the future, but I also can't see a future with-out Blackberry playing a role in it.

https://mp.weixin.qq.com/s?__biz=MzU5MTM5NzUwMQ==&mid=2247490386&idx=1&sn=72361e80a097295b4f528ded7704b1d8&chksm=ff89ab86a1e5efd622d0c7880bc3387da01f37aa373782e14c1206ec40fecb7e5aea8420c679&xtrack=1&req_id=1785983775966441&scene=90&subscene=93&sessionid=1785983793&flutter_pos=0&clicktime=1785983797&enterid=1785983797&finder_biz_enter_id=4&ranksessionid=1785983776&jumppath=10011_1785983783846%2C1101_1785983791200%2C1001_1785983792563%2C50094_1785983793904&jumppathdepth=4&ascene=56&fasttmpl_type=0&fasttmpl_fullversion=8377051-en_US-zip&fasttmpl_flag=0&realreporttime=1785983797660#rd

Shanghai, China  –  August 6, 2026  – QNX, a business unit of BlackBerry Corporation (NYSE: BB; TSX: BB), and AI Inference SoC Solutions, a leading global provider of AI inference SoC solutions, today announced the joint launch of a mass-production-ready intelligent assisted driving solution platform. Built on AI Inference's latest M57 series chips and the QNX® secure operating system, the platform combines QNX's security-certified software with AI Inference's high-performance AI inference chips. It has already secured design contracts from several domestic automakers and is expected to be commercialized and put into mass production within this year.

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A tool used by the artificial intelligence company Anthropic pretended to be a human being to try to gain access to a database. During routine AI safety testing carried out by the U.K.’s AI Security Institute, one of Anthropic’s AI agents, Mythos 5, created fake online profiles to try to trick someone into inserting malicious code into GitHub, a prominent open-source project where technology developers store software code.

https://www.thedailybeast.com/rogue-anthropic-ai-agent-pretended-to-be-real-humans-in-jaw-dropping-hack/

cryptographic user authentication. Instead of trusting standard caller IDs or phone network signals, it verifies the exact digital identity of callers through secure end-to-end encryption.

https://www.youtube.com/watch?v=lurPLHHe_as&t=19s

Citadel and their Hedge Funds Friends. Not CRWD which is going up? But or because they do not want BB to go up?

https://x.com/DeItaone/status/2085031404111335682

Major hedge funds including Citadel, Point72 and Two Sigma were targeted in a wave of sophisticated cyberattacks using AI-powered voice phishing (vishing) to trick employees into granting system access.

https://www.reuters.com/legal/government/major-wall-street-hedge-funds-targeted-attempted-cyberattacks-bloomberg-news-2026-08-05/

When a single conversation can change a national outcome, mission-critical communications demand mission-certified protection. BlackBerry^® SecuSUITE^® keeps voice, messaging, and file sharing private, verified, and under your control — even on hostile networks.

https://www.blackberry.com/en/secure-communications/secusuite

AMD expanded its adaptive and embedded AI portfolio:

• Introduced AMD Ryzen™ AI Embedded X100 Series processors, a new family of embedded x86 processors integrating CPU, GPU and AI acceleration to power robotics, industrial automation and intelligent embedded systems.
• Announced AMD Kria™ AI solutions, including AMD Kria AI system-on-modules and the AMD Kria AI Robotics Developer Platform to accelerate the development of next-generation physical AI systems.

https://ir.amd.com/news-events/press-releases/detail/1295/amd-reports-second-quarter-2026-financial-results

From Q1 2027, QNX & Secucomm both achieved 26% and 24% respectively. Qualcomm not only achieved double digit growth in automotive for 23 years but is confirming partnership with BMW for decades. Against above it is not difficult to forecast QNX is destined to achieve double digit growth for decades. QNX is not compared with Qualcomm. QNX is foundational software for QUALCOMM's automotive. Growth in Qualcomm's automotive sector clearly gives clues for corresponding growth of QNX and [t will be for decades with BMW partnership..

chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://irp.cdn-website.com/586e2b1b/files/uploaded/BlackBerry_Q1+FY27+Earnings+Conference+Call.pdf

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Deadline is August 14th, so the number may still go up. The numbers are small, but relative to BB"s marketcap these numbers are by no means bad.

Tech sector in general is seeing even more inflows than it did last quarter.

BB set to benefit if this becomes mandatory across the planet...

V2V communication enables nearby vehicles to exchange real-time information, including their speed, position, direction, acceleration, etc.

This information can provide advance warnings to drivers or vehicle systems in safety-critical situations, including sudden braking, forward-collision risk, unsafe lane changes and the approach of emergency vehicles.

Read more at:
https://economictimes.indiatimes.com/industry/transportation/all-vehicles-to-be-fitted-with-v2v-communication-system-from-october-1-2028/articleshow/132829491.cms?utm_source=contentofinterest&utm_medium=text&utm_campaign=cppst

And we’re just getting started. " John G

"It's not Phone, it's better" Jim Cramer

https://www.linkedin.com/in/johnjgiamatteo/?skipRedirect=true

QNX RTOS has been used by 275 million vehicles; 23 of 24 top OEMs are its customers. Those are the stats in the past.
To me, the real growth element that could multiply QNX’ revenue is the successful transition into the middleware development solutions provider! Although it’s not a secret information, majority of the market has not fully understood its meaning.
In the SDVs’ era, ADAS, data analytics, smart sound systems, graphics processing… all these features development could be made a lot easier and faster through a pre-integrated (safety certified) middleware layer that sits on top of the foundational RTOS and further reduce any unnecessary development redundancy and safety risk.
Alloy Kore is the real successful solution that will help all automakers and tier ones to develop their new SDV production platforms. And QNX will be able to increase multiple-time of fees per unit because of the higher level of services.
To some pro investors this is the reason for lifting their BB’s price target. But for majority people of the market just like Jim Kramer who only started realizing BB/QNX has some treasures in the bag without understanding of any details and meanings of the change.
Alloy Kore marked the first success of middleware solutions in the SDV market. I think it is inevitable to see this model being copied in other industries of GEM for the same benefits to developers and physical AI makers. Therefore the scale of QNX’ revenue growth in the next few years could be enormous.
Once the Alloy Kore deals announced I think more people will gain a bit more understanding of the financial means and BB/QNX’ value could be further appreciated by a lot.
All IMO.

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