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Yes — IonQ is indeed collaborating closely with U.S. military space-related organizations, though there’s no headline standalone “Space Force contract” yet. Here’s the detailed breakdown:
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🛰️ Air Force & Air/Space Force Quantum Collaborations
1. Multiple AFRL Networks & Computing Projects
IonQ has secured significant contracts with the U.S. Air Force Research Laboratory (AFRL), part of the Department of the Air and Space Forces:
• In March 2025, IonQ delivered and commissioned a quantum networking system at Rome, NY’s Innovare Advancement Center ?.
• Earlier in January 2025, they launched a $21.1M project via Qubitekk to develop secure quantum networking infrastructure—including free-space optical links to drones—again with AFRL ?.
• In September 2024, they sealed a $54.5M contract for quantum network development with AFRL .
2. Rome Labs = USAF & Space Force Joint Hub
Rome Laboratories is officially designated the U.S. Air Force and Space Force Quantum Information Science Research Center. That designation was emphasized by Senator Schumer in March 2025, calling it “the U.S. Air Force and Space Force Quantum Information Science Research Center” ?. So IonQ’s networking systems there support both Space Force and Air Force objectives.
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✅ So… Is IonQ working with Space Force?
Yes — indirectly. They’re active through Air Force contracts at dual-service (Air & Space Force) quantum facilities. While there’s no publicly announced Space Force-only contract yet, IonQ is strategically positioned within the shared Space Force/AFRL quantum ecosystem at Rome Labs.
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Summary Table
Yes — IonQ is indeed collaborating closely with U.S. military space-related organizations, though there’s no headline standalone “Space Force contract” yet. Here’s the detailed breakdown:
?
🛰️ Air Force & Air/Space Force Quantum Collaborations
1. Multiple AFRL Networks & Computing Projects
IonQ has secured significant contracts with the U.S. Air Force Research Laboratory (AFRL), part of the Department of the Air and Space Forces:
• In March 2025, IonQ delivered and commissioned a quantum networking system at Rome, NY’s Innovare Advancement Center ?.
• Earlier in January 2025, they launched a $21.1M project via Qubitekk to develop secure quantum networking infrastructure—including free-space optical links to drones—again with AFRL ?.
• In September 2024, they sealed a $54.5M contract for quantum network development with AFRL .
2. Rome Labs = USAF & Space Force Joint Hub
Rome Laboratories is officially designated the U.S. Air Force and Space Force Quantum Information Science Research Center. That designation was emphasized by Senator Schumer in March 2025, calling it “the U.S. Air Force and Space Force Quantum Information Science Research Center” ?. So IonQ’s networking systems there support both Space Force and Air Force objectives.
?
✅ So… Is IonQ working with Space Force?
Yes — indirectly. They’re active through Air Force contracts at dual-service (Air & Space Force) quantum facilities. While there’s no publicly announced Space Force-only contract yet, IonQ is strategically positioned within the shared Space Force/AFRL quantum ecosystem at Rome Labs.
?
Summary Table
Yes — IonQ is indeed collaborating closely with U.S. military space-related organizations, though there’s no headline standalone “Space Force contract” yet. Here’s the detailed breakdown:
?
🛰️ Air Force & Air/Space Force Quantum Collaborations
1. Multiple AFRL Networks & Computing Projects
IonQ has secured significant contracts with the U.S. Air Force Research Laboratory (AFRL), part of the Department of the Air and Space Forces:
• In March 2025, IonQ delivered and commissioned a quantum networking system at Rome, NY’s Innovare Advancement Center ?.
• Earlier in January 2025, they launched a $21.1M project via Qubitekk to develop secure quantum networking infrastructure—including free-space optical links to drones—again with AFRL ?.
• In September 2024, they sealed a $54.5M contract for quantum network development with AFRL .
2. Rome Labs = USAF & Space Force Joint Hub
Rome Laboratories is officially designated the U.S. Air Force and Space Force Quantum Information Science Research Center. That designation was emphasized by Senator Schumer in March 2025, calling it “the U.S. Air Force and Space Force Quantum Information Science Research Center” ?. So IonQ’s networking systems there support both Space Force and Air Force objectives.
?
✅ So… Is IonQ working with Space Force?
Yes — indirectly. They’re active through Air Force contracts at dual-service (Air & Space Force) quantum facilities. While there’s no publicly announced Space Force-only contract yet, IonQ is strategically positioned within the shared Space Force/AFRL quantum ecosystem at Rome Labs.
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Summary Table
gemini ai: me,:would you expect higher radiation levels in areas of iran where usa bombed the iranian nuclear development plants and uranium enrichment activities were going on? one potential use of quantum computing optimization, where to hit the target to create max problems without endangering radiation/toxic environmental exposures?
geminiai:
Based on current reports regarding the recent US bombing of Iranian nuclear development plants and uranium enrichment facilities (Fordow, Natanz, and Isfahan), the expectation is that there will NOT be significantly higher radiation levels in areas near these sites.
Here's why:
Official Statements: Both Iran's Atomic Energy Organization (AEOI) and the International Atomic Energy Agency (IAEA) have stated that their radiation system data and field surveys do not show signs of contamination or danger to residents near the sites, and no increase in off-site radiation levels has been reported.
Nature of the Facilities and Material: Uranium enrichment facilities primarily deal with uranium, which in its natural and even enriched forms (up to 60% purity, as was the case at Natanz) is considered to be at the lower end of the hazard spectrum for radioactive materials. While there could be localized radiological and chemical contamination within the attacked facilities, the risk of widespread release of highly dangerous radioactive material is limited.
Form of Uranium: These facilities largely handle uranium in the form of uranium hexafluoride gas. If a container of this gas is ruptured, the molecules are heavy and do not travel far through the air, limiting off-site dispersal.
Differences from Nuclear Power Plants: The risk of widespread, long-term contamination is significantly higher if a nuclear power plant (like Bushehr, which was not targeted) were to be attacked. Nuclear power plants contain highly radioactive reactor cores and spent fuel pools, which pose a much greater risk of severe and long-lasting contamination if breached.
Precautionary Measures: Some analysts suggest that Iran may have taken precautionary actions, such as moving highly enriched uranium stockpiles, which could have mitigated the potential for release.
Targeting: The US reportedly used powerful "bunker-buster" bombs, designed for deep penetration. While this causes severe damage to the facilities themselves, the goal is typically to destroy the infrastructure rather than cause a widespread radiological event, and the nature of the material in these enrichment facilities (as opposed to a reactor) makes such an event less likely to begin with.
While any attack on nuclear facilities carries inherent risks, and it's important for monitoring to continue, the initial assessments indicate that the immediate and widespread radiological impact on the surrounding areas is not as severe as one might initially fear, largely due to the type of nuclear material and activities involved at these specific sites. The primary concern from these attacks, in terms of hazardous materials, might be from chemicals like fluorine gas used in the enrichment process, which can be highly toxic:
trump inaugurated the usa space force. that it would employ quantum computing shouldn't surprise anyone. that with the advent of nvidia chips/gpu/cpus/networking/ai using same the ibm ad on last page(back cover) of nytimes mag, which is otherwise junk, has ad, "only getting isolated results? big gains come from ai that works across all your data and applications." most def in the wheelhouse of 8x8 and vcsy?
they should add you need to desilo your data wherever it resides, including mainframe.. ibm db2 v (x)?
oracle db also in the same ball park?
if oracle had the stuff of oci, before netsuite acquisition, why did they buy them? and if netsuite had 8x8 ip without 8, why their partnering with 8?
Worth a read read. …
This significant milestone demonstrates the U.S. government’s long-standing support of quantum computing and networking
IonQ once again demonstrates its ability to deliver innovative quantum computing and networking systems to customers and partners worldwide
COLLEGE PARK, MD — March 4, 2025 — IonQ (NYSE: IONQ), a leader in the quantum computing and networking industries, announced today that it has delivered and commissioned a quantum networking system optimized for research and development to the U.S. Air Force Research Laboratory (AFRL) in Rome, New York.
The newly implemented on-premises technology introduces a dedicated quantum system based on trapped ions, aimed at supporting the research objectives of AFRL. This advanced system is anticipated to enhance precision, flexibility, and scalability, thereby contributing significantly to the advancement of quantum networking methodologies and algorithms.
“Today’s system commissioning is the culmination of a collaborative partnership between AFRL and IonQ to deliver enterprise-grade quantum capabilities today, not 10 years from now,” said Niccolo de Masi, President and CEO of IonQ. “We’re excited to continue our strong partnership with AFRL and the U.S. government as they prioritize quantum technologies and drive significant investment and research aimed at ensuring the country’s leadership in secure quantum networking and communications.”
“As the US continues to advance its quantum research and development agenda, we are committed to fostering partnerships that drive innovation and accelerate the delivery of quantum technologies,” said Michael Hayduk, Deputy Director AFRL Information Directorate. “We are excited to explore the potential of quantum computing to address complex national security challenges and drive breakthroughs in fields like materials science, and optimization. By working together with industry leaders like IonQ we aim to leverage quantum computing to enhance our nation’s competitiveness, security, and prosperity, and to ensure that the US remains at the forefront of this rapidly evolving field.”
“I proudly championed efforts to secure Rome Labs as the U.S. Air Force and Space Force Quantum Information Science Research Center, and to deliver tens of millions of dollars in federal investment to help fund state-of-the-art quantum laboratories at Rome Labs as part of the new Extreme Computing Facility and the neighboring Innovare Advancement Center. This all laid the foundation for IonQ to locate the first American-made trapped ion quantum computer at Innovare,” said US Senator Charles E. Schumer. “This next-generation quantum networking technology will help Rome Labs and the Griffiss Institute supercharge quantum R&D, catalyze new partnerships with academia and industry, bolster American national security and international competitiveness, and further establish Upstate NY as a major hub for innovation. As we celebrate today’s exciting announcement, I look forward to continuing my work with IonQ, Rome Labs, the Griffiss Institute, and Oneida County Executive Tony Picente to advance Rome Labs’ position as a global epicenter for quantum and ensure that the technology of tomorrow is developed right here in the Mohawk Valley.”
“Following my tireless advocacy to pass critical legislation that ensures the U.S. maintains a quantum technological advantage over our adversaries, Air Force Research Laboratory (AFRL-Rome) is now home to a functioning quantum networking system that will help the U.S. become the first nation to reach quantum advantage. I led the Defense Quantum Acceleration Act to supercharge the Department of Defense’s approach to quantum technology and advance U.S. national security building on the excellent work done by AFRL-Rome. Via the FY25 Defense Appropriations Act, I was able to secure hundreds of millions of dollars for AFRL-Rome to advance their quantum computing. It has been a privilege to bring the priorities of AFRL-Rome and Upstate New York and the North Country to the highest levels of government,” said Congresswoman Elise Stefanik.
Following its first AFRL contract in 2022, IonQ has since been awarded three additional contracts – one in 2023, another in late 2024 and most recently one in December of last year – with a total value of over $94.4 million. The systems that will be deployed via these contracts will help drive scalability, interoperability, and deployability of quantum computers and networks in the U.S.
This announcement follows IonQ’s recent delivery and commissioning of IonQ Forte Enterprise to its first European Innovation Center, established in partnership with QuantumBasel in Arlesheim, Switzerland. It also expands IonQ’s growing global data center footprint, which now includes locations in Washington D.C., Seattle, and Basel, Switzerland.
To learn more about IonQ and its latest system news and business developments, visit https://ionq.com/.
if you read scifi, how do you defeat an ai? creative thought, ingenuity, dumb luck, what ifs, maybes, etc?
i wonder if the only safe job in the future is science fiction literature as applied to .........various industries.
or, given he gets more ionq stock options, in a quest to diversify his holdings , he takes his options before expiration, pays the taxes, and then can reinvest in ionq and /or other stocks which might show their value with the illumination of the how and why's of ionq birthing and product path.
with any ai, your framing of the prompts and the apparent willingness of the model/generative intelligence to fully answer is likely important, or so i have found.
if you at first don't succeed in receiving the answer you anticipate, rephrase and reprompt. the ai doesn't recognize serendipity or a 'discovery' . it /they seem to just look at their data without creativity.
We shall see. Never say never. But. This is Peter’s baby. Never piss off the Pope.
Im speculating that sees an opportunity to buy in at a lower price. Thats generally how these things play out
Here’s a clear comparison of insider activity for IonQ’s key executives, showing how Peter Chapman stacks up:
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📊 Insider Sales by IonQ Executives (Last 6 Months)
Executive
Role
Shares Sold
Value (~USD)
Remaining Shares
Notes
Peter Hume Chapman
Executive Chair (former CEO)
˜?2.04?M
˜?$38?M
~402?K–414?K
Sold large tranches mainly March ’25; small tax-cover sale (~12K)
Niccolo?de?Masi
President & CEO
9,280
˜?$392?K
~712?K
~1.3% stake sale June ’25
Rima?Alameddine
Chief Revenue Officer
~20?K+1.4?K
˜?$372?K+$30?K ˜?$402?K
~572?K
Multiple smaller sales in March
Thomas?G.?Kramer
CFO
~18.5?K
˜?$353?K
~944?K
2-3 small sales in March
William?F.?Scannell
Non-Exec Director
—
? +93?K buy, ~$2?M
~135?K
Only insider net buying recently
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🧭 Key Takeaways
• Chapman: Dominates insider activity—sold ~82–83% of his post-exercise holdings (~2?M shares for ~$37?M) mainly in March, plus a small tax-cover sale (~12?K shares). Still retains ~400?K shares worth ~$16?M, signaling both cash realization and remaining commitment. ?
• de?Masi: Moderately sold in June (~9,280 shares, ~1.3% of his holdings), bringing his remaining stake to 712?K shares ($28?M). A much smaller exit relative to Chapman. ?
• Alameddine & Kramer: Executed modest insider sales (~20?K and ~18?K shares respectively) in March, likely part of routine vesting or tax liquidity. Both keep substantial holdings. ?
• Scannell: The only insider who purchased recently (+93?K shares, ~$2?M), boosting his stake by ~41%. ?
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💡 Interpretation
• Strategic vs routine selling: Chapman’s sales were large and likely profit-realizing (including post-exercise conversion), while others’ sales appear modest, possibly vesting/tax actions.
• Leadership confidence: Despite selling much, Chapman retains a meaningful stake (~400?K shares). de Masi, Alameddine and Kramer continue to hold sizable positions.
• Net insider buying: Scannell’s purchase stands out—suggesting board-level confidence.
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✅ Summary
• Chapman has materially monetized his equity but keeps strong “skin in the game.”
• de?Masi sold a small percentage, retaining a larger relative position.
• CRO & CFO holdings largely untouched beyond routine liquidity.
• Directors show confidence: Scannell’s buy is a bullish signal, others are flat.
Let me know if you’d like a deeper dive into vesting structures, insider trends over time, or comparisons with similar firms!
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Relax
📈 Who is Peter Chapman at IonQ?
• Peter Hume Chapman is IONQ’s Executive Chair and was CEO until February?2025 (succeeded by Niccolo?de?Masi) ?.
• He’s been pivotal in IonQ’s transformation from an academic project to a pure-play public quantum computing firm ?.
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🔧 Option Exercises & Stock Sells
1. Option Conversions (March 2025):
• Exercised 1,528,394 options at $0.13 per share.
• Exercised an additional 471,606 options at $7.63 per share.
• Total exercise cost: around $3.8?million ?.
2. Major Stock Sale (~March 11, 2025):
• Sold 2,000,000 shares at ~$18.72/share.
• Gross proceeds: approximately $37.4?million ?.
• After selling, retained 414,363 shares.
3. Recent Insider Sale (June 11, 2025):
• Sold 11,965 shares at ~$41.60/share.
• Net proceeds: about $498,000.
• Post-sale ownership: about 390,329 shares ?.
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🧮 Chapman’s Current Stake Breakdown
Holdings
Shares
Retained after March sale
414,363
After June sale
390,329
He retains approximately 390–414?K shares today. At IONQ’s current ~$40/share price, his stake is now worth in the range of $15.6?million to $16.5?million, down from nearly $75?million if he’d held all post-exercise shares.
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💭 Why This Matters
• Option exercises at extremely low strike prices ($0.13 & $7.63) granted Chapman massive paper gains, even after recent stock sales.
• Substantial sell-offs (2 million shares ˜ $37M, plus nearly $0.5M recently) converted a major portion of gains into cash.
• Yet he still retains a solid stake (~400K shares), keeping significant skin in the game.
Key takeaways:
Chapman leveraged his options profitably, sold a large chunk of the stock to realize gains, but still holds a meaningful stake—signifying continued confidence in IonQ’s future despite liquidity-taking moves.
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Let me know if you want to dig into insider filing details, timing strategies, or how this compares to other execs at IonQ!
I finally saw the explanation…Hume exercised 4,900,000+ options and sold same. Average price about $38. I think that explains some of the pressure and then the pop yesterday. He hold 390k+ shares outright. Good news!
I got this from E*Trade…
2025
Chapman Peter Hume
Officer and Director
Exercise of options
4,491,933
0.13 - 0.13
Sale
4,491,933
37.78 - 38.13
390,329
$170.9M
6/16/2025
Chapman Peter Hume
Officer and Director
39
that first link is very clearly exercise and immediate sale of stock options.
no where near $170m either roughly $60m (1.5m shares at $40)
he took his issued options, might have privately placed same as a means to put more shares into circulation, hands of someone/entity that needed them for ionq business?
Relax. We’re in great hands. Peter isn’t going anywhere. He’s getting a ton more shares. As all execs and board members are. We’re up after all their selling. That should tell you someone was there to scoop them all up. Relax. Go to the beach. SURFS UP!🏄🏻♀️Our future is so bright we all need sun glasses!!😎😎😎😎😎🏄🏼♂️🏄🏼♂️🏄🏻♀️😃🤙😎
dont over think this its quite obvious he thought it was a prudent time to sell
I’m sure someone understands this better than me. These links are from right here in the ihub page. I saw the 4.5 million sale/$170 million proceeds on E*Trade.
https://ih.advfn.com/stock-market/NYSE/ionq-IONQ/stock-news/96283279/form-4-statement-of-changes-in-beneficial-owners
https://ih.advfn.com/stock-market/NYSE/ionq-IONQ/stock-news/96282133/form-144-report-of-proposed-sale-of-securities
The fact that he sold 4.5 million shares and the stock isn't cratering is a good sign.
Looks like he needed some spending money, get his life in order, financial planning for the future etc.
$170 million can secure a very bright future. Now he can focus on IONQ.
Unless more recent filings (like a later Form 4 or Form 144) come out showing such a transaction, the 4.5 million figure isn’t currently backed by public records.
If it’s true, it likely also involved the exercise of his vested options, consistent with past behavior. But again—no publicly filed proof of a June 16 sale of that size.
The information in that post was way outdated. Chat GPT didn’t use current info. Chapman sold 4.5 million shares on 6/16. He netted over $170 million and is left with less than 10% of the shares he had. Were they options? It doesn’t say.
even better, he likely gets more options for various occurences, including just hanging around. it gives him cash to invest in other opportunities in a big way.
Planned sales are not a concern amd are common. However, a director selling 90% of his shares should at least make one curious as to why.
E*Trade says 8/06/2025 next earnings.
The 2nd quarter Q for the period ending 06/30 should come out in the first week of August.
i hadnt given it a second thought actually this kind of thing happens all the time
as far as a breakout that was an ill timed post but posted without malace
do you know when the next quarterly earnings will be ?
insiders selling but stock goes up? might it be some entity directly buying the shares at fixed price...i wonder if agency of usa government is accumulating shares of companies it''s using and therefore which will make money in an effort to establish a self sustaining government, security, defense architecture ...trump keeps talking about making money with his tech plans...stargate/semis/manufacturing/etc. not nationalized, just stockholders. no more freebie grants to companies that go on to make fortunes only for their insiders . usa funds you, you are in partnership with usa government. wags.
right now the interest rates are costly to the debt carrying, but also might make it more reasonable for usa to acquire shares from companies that need money?
other areas to consider, ai, quantum computing, fusion , energy grid, pharma, etc. an etf of government vetted businesses? young citizens could invest and come out much better than social security?
You assume a lot. I’m not getting nervous but am curious about the sale. Aren’t you? The executive director sold almost all of his shares. 4.5 million with 380k left. Doesn’t that seem unusual? You don’t even wonder about it?
its probably a planned sale youre getting nervous over nothing
meanwhile what happened here the price was up nicley and now going down fast
low volume day understandbly
That’s very old information. Unless I’m missing something…He sold 4.5+/- million shares just on Monday for over $170 million. The filing came out today. He has +/-380,000 shares left so he sold about 90% of his holdings. Maybe they were options that he exercised. I didn’t look past the report of the sale of just under 4,5 million shares.
Seems strange to me. Also strange but not unusual is the spike to $41.50+/- and the drop back to near even.
As Per ChatGPT
Peter Hume Chapman’s March 2025 sale of 2 million IonQ shares wasn’t driven by a loss of faith—it was part of a planned options exercise.
According to multiple filings and coverage, Chapman exercised options he already held—1.528 million at $0.13 and 471,606 at $7.63 per share—and immediately sold the acquired shares at market prices for about $18.72 each, netting ~$37.4 million ?.
This aligns with common insider behavior under SEC rules: one, execute long-held options at favorable prices; two, sell the resulting shares to monetize profit—not necessarily a vote against the company. TipRanks noted it?“appears that Chapman exercised the stock options to buy the 2 million shares and immediately sold them, making a significant profit” ?.
In short: this was a liquidity move tied to the structured exercise/sale of options, not an opportunistic exit or insider signal of concern.
maybe he is retiring
I didn’t see it then. Hmm. Looking good but the massive executive chair sale is puzzling.
As I posted 2days ago, Double Top Breakout on 20-Jun-2025. GLTA
quantum computing and video ai
"how would military take advantage of quantum computing and video ai?
gemini ai says,
Show thinking
The convergence of quantum computing and video AI holds immense, transformative potential for military applications, offering capabilities far beyond what's possible with classical systems alone. While still largely in the research and development phase, the Department of Defense (DoD) and other global powers are actively investing in these areas.
Here's how the military could take advantage:
1. Enhanced Intelligence, Surveillance, and Reconnaissance (ISR):
Quantum-Enhanced Video Analysis (AI):
Ultra-High Resolution & Multi-spectral Data: Video AI could process and analyze immense volumes of data from advanced sensors (e.g., high-resolution satellite imagery, hyperspectral drone footage) with unprecedented speed and accuracy, identifying subtle anomalies or patterns that classical AI might miss.
Automated Target Recognition (ATR): Quantum Machine Learning (QML) algorithms could potentially accelerate and improve ATR, allowing autonomous systems to identify and classify targets (vehicles, personnel, weapons) faster and with higher confidence in complex, cluttered environments or from degraded video feeds.
Anomaly Detection: Quickly identify unusual activities or threats in vast video streams from surveillance drones, fixed cameras, or even bodycams, such as unusual movements, unauthorized intrusions, or the pre-cursors to attacks.
Real-time Threat Assessment: Quantum-accelerated video AI could process live video feeds from multiple sources simultaneously, fuse data, and provide real-time threat assessments to commanders in highly dynamic combat situations.
Quantum Sensing for Video Input:
Quantum sensors (e.g., quantum radar, quantum magnetometers, quantum gravity sensors) could provide entirely new types of data inputs to video AI systems. For instance, quantum radar might detect stealth aircraft by identifying quantum "signatures" beyond classical radar cross-sections, and this data could then feed into AI for visual confirmation.
2. Autonomous Systems (Drones, Robotics, Vehicles):
Smarter Drone Navigation: AI-powered drones use video feeds for navigation, obstacle avoidance, and mapping. Quantum optimization could enable drones to calculate vast numbers of flight paths simultaneously, choosing the safest and most efficient routes in real-time, especially in complex urban environments or contested airspace.
Real-time Decision Making: For lethal autonomous weapon systems (LAWS) or highly automated reconnaissance drones, quantum-enhanced AI could enable faster and more accurate target identification and engagement decisions from video feeds, reducing latency between observation and action.
Collaborative Robotics: Quantum optimization could help orchestrate swarms of drones or robotic units, where each unit's video AI feeds into a collective understanding, and quantum algorithms optimize their collaborative actions based on complex real-time video analysis.
3. Training and Simulation:
Hyper-realistic Simulations: Quantum computing's ability to simulate complex systems could create far more realistic and adaptive battlefield simulations, potentially even generating synthetic video data for training AI models in scenarios that are difficult or dangerous to replicate in the real world.
Adaptive Wargaming: AI (including generative AI) can create dynamic wargame scenarios. Quantum optimization could identify optimal strategies and counter-strategies based on simulated video intelligence, helping commanders train for unforeseen circumstances.
4. Logistics and Supply Chain Optimization (Indirect Video AI):
While not directly video AI, quantum optimization excels at complex logistics. Video AI could monitor supply chain components (e.g., inventory via video analytics), and quantum computers could then optimize distribution, resource allocation, and predictive maintenance based on this real-time visual data.
5. Cybersecurity and Secure Communications (Foundational for Video Data):
Post-Quantum Cryptography: Quantum computers pose a threat to current encryption. The military is actively researching and implementing post-quantum cryptography to secure all communications, including the transmission of sensitive video intelligence.
Quantum Key Distribution (QKD): While still maturing, QKD offers theoretically unbreakable communication channels for transmitting classified video feeds, ensuring that valuable ISR data remains secure from adversaries.
Challenges and Realities:
Hardware Maturity: Current quantum computers are "noisy intermediate-scale quantum" (NISQ) devices with limited qubits and high error rates. Large-scale video AI tasks are far beyond their current capabilities.
Data Encoding: Efficiently encoding vast video datasets into quantum states remains a significant hurdle.
Hybrid Approach: The most realistic path forward involves hybrid quantum-classical computing, where quantum computers handle very specific, computationally intractable sub-problems (like certain optimization or pattern recognition tasks) while classical supercomputers and AI handle the bulk of the video processing and analysis.
Despite these challenges, the potential for quantum computing to radically enhance military video AI, particularly in areas requiring ultra-fast analysis of complex data, optimization of highly variable systems, and secure transmission of critical intelligence, is a major focus for defense innovation worldwide."
if you take a video with a camera phone does it need to be transformed to be sent on wifi or bluetooth network?
Show thinking
When you take a video with a camera phone, the video is already in a digital format. Modern smartphones record video directly as digital data.
However, to be efficiently stored and sent over wireless networks like Wi-Fi or Bluetooth, this digital video typically undergoes compression and encoding.
Here's a breakdown:
Digital Capture: Your phone's camera sensor captures light and converts it into digital pixel data. This raw digital data is then immediately processed and encoded into a compressed video file format.
Compression and Encoding (Transformation):
Why it's needed: Raw video data is enormous. A few seconds of uncompressed 4K video could be hundreds of megabytes or even gigabytes. Wi-Fi and Bluetooth, while wireless, still have limited bandwidth compared to the demands of uncompressed video. Sending large uncompressed files would be extremely slow, drain battery, and fill storage quickly.
How it happens: The phone's powerful processor (including dedicated video encoding hardware) uses video codecs (like H.264/AVC, H.265/HEVC, or AV1) to compress the video in real-time as it's being recorded. This compression removes redundant information (e.g., areas of the picture that don't change much between frames) and applies complex algorithms to reduce file size significantly while aiming to preserve acceptable quality.
File Formats: The compressed video data is then wrapped in a container format (like MP4, MOV, or MKV).
Wireless Transmission (Wi-Fi or Bluetooth):
Wi-Fi:
Faster and Higher Bandwidth: Wi-Fi provides much higher bandwidth than Bluetooth. It's the preferred method for transferring large video files (especially longer videos or higher resolutions like 4K/8K) to other devices or cloud storage.
Direct Transfer: Apps like AirDrop (Apple), Nearby Share (Android), or third-party file transfer apps use Wi-Fi Direct or local Wi-Fi networks to send files quickly between nearby devices.
No additional transformation by Wi-Fi: The Wi-Fi network itself doesn't re-compress or transform the video content. It simply transmits the already compressed digital video file packets wirelessly.
Bluetooth:
Slower and Lower Bandwidth: Bluetooth has much lower bandwidth than Wi-Fi.
Automatic Compression (if too large): While Bluetooth can transmit digital video files, for anything but very short, low-resolution clips, the video file's existing compression might still be too large for efficient Bluetooth transfer. In some cases, the sending device or application might perform additional compression (further reducing quality) to make it fit within Bluetooth's limitations. However, this is done by the device/software before sending, not by the Bluetooth protocol itself.
Less Common for Video: Due to its speed limitations, Bluetooth is less commonly used for directly transferring large video files compared to Wi-Fi. It's more suited for audio streaming, small data, or initial pairing.
In summary:
A video taken with a camera phone is already digital. It is also compressed and encoded (transformed) by the phone's internal hardware at the time of recording (or sometimes further by sharing apps) to make it manageable. Wi-Fi and Bluetooth networks then act as the wireless conduits to transmit this already digital and compressed video data. While Bluetooth's lower bandwidth might trigger further compression by the sending device, the networks themselves don't typically re-encode the video.
market turned up at 11:00 am EST. I guess people wanna party this weekend. :) Crank up the grill.
Fed my lower rates in July apparently. whoohoo - let's go.
There’s some irony in the - edit - the director,
Executive Chair, selling 4.5 million shares and the stock goes up because the selling is over (because he’s almost out of shares!!!).
Yep Doc. I rest my case.
Resilient Simulation Systems
A Ploinks-powered NPC architecture is:
• Resistant to DDoS or server outages
• Adaptable for use in digital twin, battle simulation, or biofoundry NPC agents (e.g., synthetic DNA request brokers)
?
🔮 Example Use Cases
Domain
Application
Gaming/Metaverse
NPCs with persistent memory across servers
Defense/Simulation
Field-agent NPCs training in real time in P2P battle networks
Biofoundry
Intelligent lab agent (NPC) running DNA synthesis tasks securely
Smart City AI
Each intersection or node hosts a decision NPC
Quantum Edge Nodes
NPC logic co-located with quantum sensors or FPGA edge processing
Go IonQ!
Presto!
Presto !
The lights are turning red.
Yep. Maybe we’re in the glasses but not turned on yet. Cough. Cough. lol. 41.00 and Havin fun! GO IONQ$$$$$
kona , meta/oakley ai glaases released. no screen, hypernova with right eye lower quad ai screen. comms via notifications, which are said to be audio .
? voice read sms like may samsung now does on searches?
the glasses later in hypernova 1 and 2 go screen.
notifications of environment, health status, etc. gosh, kona, your nonplayer server with ai comes into play?
drink, eat, cool down, rest, run , seek cover, don't shoot that object, all of the land warrior stuff and more.
health sensors, wrist mounted display to avoid confusion in combat. goodness this thing likely has potential to be a samsung powered device?
What caused the spike to 40.24 ??????
Not my buddy. However, he is OUR President.
Very unlikely Iran strikes at our tropps prior to direct involvement of the US. That would insure the US gets directly involved and would take out khomeini as well as the nuclear sites. Iran does not want the US involved here, because they know how that ends
By waiting two weeks and showing restraint, there is a possibility a deal gets struck, without the use of military force by the US. In the alternative, Israel may have this handled in the next two weeks.
So it seems like a sound decision at this point, to be ready, but show some restraint rather than plunging into a war.
Although, the use of overwhelming force by the US against Iran would quickly decimate their country and the radical regime.
You state that he doesnt care about the military. Yet the military folks embrace and support him and his policies. Why is that?
kona, npc...and ploinks /the puddle?
cpaas data integration. that's the idea.
maybe china is sending planes to pick up their embassy people on the return, but what are they potentially carrying on the outbound flight?
chips? if chips wouldn't they have to be designed for use with the object and tested?
also, decentralized seems to be important in the game setup.......but nodes allow decentralizatin of action but still allow central command and control over the node activities which could be considered microservices making up the whole of the service at the central level.
the idea has always been disaster recovery and function in the face of losing nodal assets.
not a warming thought, but frank and to the point. the service overall is to defeat the enemy despite losses of your own.
They are liking that news from yesterday. It had a bit of time to sink in.
Someone sold 18623 shares @ $39.68. And now the stock is flying higher
The pre-market buys have just gotten above the sells! Today will be interesting.
Doc. From gpt
Yes, combining Ploinks with an NPC (Non-Player Character) server architecture can offer distinct advantages, particularly in edge computing, gaming, metaverse, AI-driven simulation, or secure decentralized applications.
Let’s break down why this pairing could be powerful and what unique benefits it brings:
?
🔧 What Is Ploinks?
Ploinks is a patented, personal data vault + mini server technology designed for:
• Ultra-secure, peer-to-peer (P2P) networking
• Offline-capable, mobile, and low-footprint environments
• Data control and sovereignty at the edge
?
🎮 What Is an NPC Server?
In traditional games or simulations, NPC logic is processed on centralized servers. But in a next-gen, decentralized model, NPCs can:
• Exist on independent servers or nodes (edge-based or mobile)
• Act autonomously with AI
• Be distributed across a P2P or mesh architecture
?
🔗 Ploinks + NPC Server = Key Advantages
1. Decentralized Autonomy
Ploinks nodes can each host autonomous NPC agents, reducing reliance on a central server. This:
• Scales better for open-world/metaverse games
• Enables true persistence and autonomy of NPCs
• Makes each NPC a “living” agent hosted independently
2. Security and Privacy
Each NPC or player instance can run in a secure, local Ploinks vault, offering:
• Encrypted behavior logs and decisions
• Protection from centralized tracking or tampering
• Better GDPR and data sovereignty compliance
3. Edge Computing Benefits
NPC logic can run closer to the user:
• Lower latency for decision-making (e.g., in AR games or simulations)
• Enables local AI inference on devices using on-device models
• Great for intermittent connectivity zones (e.g., rural, satellite)
4. Quantum/AI-Ready Fabric
With Ploinks supporting:
• Quantum-aware networking (e.g. Lightsynq, QKD integration)
• Federated AI or synthetic training at the edge
NPCs could evolve and learn securely, cooperatively, and even under quantum time sync constraints.
5. Resilient Simulation Systems
A Ploinks-powered NPC architecture is:
• Resistant to DDoS or server outages
• Adaptable for use in digital twin, battle simulation, or biofoundry NPC agents (e.g., synthetic DNA request brokers)
?
🔮 Example Use Cases
Domain
Application
Gaming/Metaverse
NPCs with persistent memory across servers
Defense/Simulation
Field-agent NPCs training in real time in P2P battle networks
Biofoundry
Intelligent lab agent (NPC) running DNA synthesis tasks securely
Smart City AI
Each intersection or node hosts a decision NPC
Quantum Edge Nodes
NPC logic co-located with quantum sensors or FPGA edge processing
?
💡 Strategic Advantage
If deployed in a P2P mesh + secure vault + AI-driven model, this system could replace centralized NPC engines like those in Unity, Unreal, or cloud-based AI systems — making it future-proof for AI/quantum/distributed edge systems.
?
Would you like a technical prototype design or architecture diagram showing how this could be implemented using Ploinks nodes as distributed NPC servers?
Your buddy trump is finally being held to another response. He said 2 weeks. The same response as everything else. 40,000 troops that could get bombed. What will the taco man do ?! Obviously he cares about the military. NOT !!!!!!!!!
is ai transformer an example of translation or transformation?
ChatGPT said:
The term “transformer” in AI refers to a model architecture designed to transform input data into meaningful outputs, rather than translating between languages exclusively—though translation was its initial use case.
🧠 Origins & Primary Use
The transformer architecture was introduced in the 2017 paper “Attention Is All You Need” by Vaswani et al. Stanford researchers titled it a general-purpose sequence-to-sequence model—initially applied to machine translation, it was always intended to transform inputs into outputs, not just translate between languages
netguru.com
+6
docsbot.ai
+6
reddit.com
+6
.
Its core innovation—the attention mechanism—enables it to transform contextual relationships across token sequences, which is a transformation process itself .
🔁 Translation vs. Transformation
Term Meaning in AI
Translation A specific type of transformation, e.g. converting text from English to French.
Transformation A broader process: ingests input, processes context, outputs data (text, images, etc.). Transformers can translate, summarize, generate code, analyze images, and more.
📚 Research & Real-World Use
Transformers replaced earlier sequential models (RNNs/LSTMs), enabling powerful transformation of sequences in parallel—ideal not only for translation but for summarization, generation, summarization, question-answering, and other tasks
ibm.com
+4
en.wikipedia.org
+4
techradar.com
+4
.
Today’s large language models (GPT, BERT, Claude…) are all built on this transformer architecture—used far beyond translation, including text generation, vision (ViT), code completion, speech, and multimodal tasks
reddit.com
+2
grammarly.com
+2
medium.com
+2
.
✅ Bottom Line
A transformer is not limited to translation—it’s a powerful transformation engine for sequence-based data.
It was first demonstrated for translation but is now the foundation for general AI tasks.
So yes, it’s an example of transformation, with translation being just one of its many applications.
is ai transformer an example of translation or transformation?
ChatGPT said:
The term “transformer” in AI refers to a model architecture designed to transform input data into meaningful outputs, rather than translating between languages exclusively—though translation was its initial use case.
🧠 Origins & Primary Use
The transformer architecture was introduced in the 2017 paper “Attention Is All You Need” by Vaswani et al. Stanford researchers titled it a general-purpose sequence-to-sequence model—initially applied to machine translation, it was always intended to transform inputs into outputs, not just translate between languages
netguru.com
+6
docsbot.ai
+6
reddit.com
+6
.
Its core innovation—the attention mechanism—enables it to transform contextual relationships across token sequences, which is a transformation process itself .
🔁 Translation vs. Transformation
Term Meaning in AI
Translation A specific type of transformation, e.g. converting text from English to French.
Transformation A broader process: ingests input, processes context, outputs data (text, images, etc.). Transformers can translate, summarize, generate code, analyze images, and more.
📚 Research & Real-World Use
Transformers replaced earlier sequential models (RNNs/LSTMs), enabling powerful transformation of sequences in parallel—ideal not only for translation but for summarization, generation, summarization, question-answering, and other tasks
ibm.com
+4
en.wikipedia.org
+4
techradar.com
+4
.
Today’s large language models (GPT, BERT, Claude…) are all built on this transformer architecture—used far beyond translation, including text generation, vision (ViT), code completion, speech, and multimodal tasks
reddit.com
+2
grammarly.com
+2
medium.com
+2
.
✅ Bottom Line
A transformer is not limited to translation—it’s a powerful transformation engine for sequence-based data.
It was first demonstrated for translation but is now the foundation for general AI tasks.
So yes, it’s an example of transformation, with translation being just one of its many applications.
kona, you think ploinks and mpc server? i asked if 8x8 could supply the plumbing for it and therefore maybe ploinks?
Conversation with Gemini
what is mcp server?
An MCP server, or Model Context Protocol server, is a key component of the Model Context Protocol (MCP). This protocol is an open standard designed to simplify and accelerate the development of accurate and robust AI systems, especially those using generative AI (GenAI) applications like Large Language Models (LLMs).
Here's a breakdown of what an MCP server does and why it's important:
Bridge between AI and Data/Tools: An MCP server acts as a standardized interface, allowing AI applications (MCP clients) to securely and directly connect with various external data sources and tools. This can include files, databases, APIs, enterprise systems (like CRM, Slack, GitHub), and even local resources.
Provides Context to AI: LLMs and other AI models need context to provide accurate and relevant responses. MCP servers facilitate the flow of this context, ensuring that AI models get the right data at the right time from its source. This helps reduce "hallucinations" and other errors in AI outputs.
Simplifies Integration: Historically, connecting AI to different data sources and tools required custom integrations for each one, which was complex and difficult to scale. MCP provides a "write once" approach, offering a universal, plug-and-play format. This means any AI app that supports MCP can use any MCP-compatible tool without needing unique custom code for every integration.
Enables Two-Way Communication and Actions: MCP allows for bidirectional communication. AI models can not only receive information but also trigger actions in external systems, such as updating a record, sending a message, or initiating a workflow. This enables more dynamic and interactive AI applications and facilitates "agentic" behavior (AI making autonomous decisions and taking action).
Real-time Access: Unlike some other data retrieval methods that might involve generating embeddings and storing data in vector databases (like in some RAG systems), MCP servers can access data directly and in real-time from source systems. This ensures AI responses are based on the freshest available information.
Security and Control: MCP emphasizes privacy and security guardrails to prevent sensitive data from leaking into AI models, helping ensure compliance with data protection regulations.
In essence, an MCP server makes it much easier and more secure for AI systems to interact with the vast world of real-world data and tools, making AI applications more powerful, versatile, and reliable.
Sources
could/can 8x8 act as a interface allowing ai applications to securely and directly connect with various external data resources and tools?
Yes, 8x8 can and does act as an interface allowing AI applications to securely and directly connect with various external data resources and tools, particularly within the realm of customer experience (CX) and communications.
Here's how 8x8 achieves this, drawing parallels to the MCP server concept:
Platform for CX with Integrated AI: 8x8's core offering is its "Platform for CX," which unites Contact Center, Unified Communications (UC), and Communications Platform as a Service (CPaaS) APIs. They explicitly state that this platform "integrates AI at every level." This means their system is designed to leverage AI capabilities across various communication channels.
APIs for Data Access and Action: A key enabler for 8x8 acting as an interface is its comprehensive set of Communication APIs. These APIs allow developers and other systems (including AI applications) to:
Access 8x8 Data: Retrieve data like call recordings, statistical data for reporting, real-time statistics, and CRM data stored within 8x8 (e.g., customer, case, task, follow-up records).
Initiate Actions: Send messages (SMS, WhatsApp, etc.), make calls, and trigger other communication-related actions. This is crucial for AI applications that need to respond or act based on insights.
Integrate with External CRMs: 8x8 provides specific APIs and features (like "External CRM API access" and "CRM Triggers") that facilitate two-way data exchange with external CRM systems. This is a direct parallel to the MCP server's role in connecting AI to external data sources.
AI Orchestrator and Intelligent Customer Assistant:
8x8 AI Orchestrator: This newly announced solution (as of April 2025) explicitly allows organizations to "create seamless decision flows and orchestration across multiple bots and vendor solutions." This is a strong indicator of 8x8's role as an interface, enabling different AI components (potentially from various vendors) to work together and access relevant information.
8x8 Intelligent Customer Assistant (ICA): This AI-powered virtual agent solution engages with customers across voice and digital channels. For ICA to be effective, it must be able to securely connect to external data (like customer history, order status, etc.) to provide relevant responses and actions. 8x8's documentation mentions "ready-made integration options" and "marketplace and ready-made integrations with CRMs" for ICA.
Contextual Data Flow: Features like "AI Agent Boost" which delivers "contextual, AI-powered support to contact center agents in real time" demonstrate 8x8's focus on providing relevant context to AI. Similarly, "JourneyIQ" unifies customer interaction data across UCaaS, CCaaS, and CPaaS APIs, giving AI a holistic view of the customer journey.
Security and Compliance: 8x8 places a strong emphasis on security and compliance, which is crucial for handling sensitive customer data when connecting AI applications. They highlight:
Robust security capabilities, including encryption (TLS 1.2, AES-GCM), two-factor authentication, and single sign-on.
Compliance with various standards and regulations (e.g., HIPAA, PCI-DSS, GDPR, ISO 27001).
Secure development lifecycle with rigorous testing.
In summary:
While 8x8 doesn't explicitly brand itself as an "MCP server," its architecture and capabilities, especially its extensive API ecosystem, AI orchestration features, and focus on secure integrations, align very closely with the functions of an MCP server. It provides the necessary plumbing for AI applications (particularly those focused on customer experience) to securely connect, access, and act upon data from various internal and external systems."
if you believe some of the stuff an ai comes up with you can check it on other ai's. ploinks as mcp servers which have all the patent ip of 8x8 for such. no one could touch it, imho. 8 also has motion vector estimation of nonlinear data ip/patent.
kipu and photons, markup executive in the new patent designated after the 744 patent reevaluation. i think that's a potential big difference.maker. their wording changes from translation to transformation , basically created a whole new/different object/work process.
chatgpt says:"The difference between translation and transformation depends on context, but broadly:
🔹 In Mathematics / Geometry:
Translation means moving an object without rotating or resizing it—just sliding it along X, Y, or Z axes.
Example: Moving a triangle 3 units right and 2 units up.
Transformation is a broader term that includes translation, but also includes:
Rotation (turning),
Reflection (flipping),
Scaling (resizing), etc.
So:
Translation ? Transformation (translation is one kind of transformation).
🔹 In Language / Linguistics:
Translation refers to converting words/text from one language to another.
Example: Translating "Hello" from English to Spanish = "Hola".
Transformation refers to changing the form or structure of a sentence or phrase, often within the same language.
Example: Passive to active voice: “The ball was thrown” ? “She threw the ball.”
🔹 In General Use / Systems / Technology:
Translation often refers to converting format or representation, especially across systems.
E.g., translating machine code, coordinates, or protocols.
Transformation implies a change in state, form, or structure—often deeper or more complex than simple translation.
E.g., data transformation in ETL pipelines, or transforming a user interface layout."
i'm thinking technology is what we're concerned with.
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