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Confirmed: Fine-tuning AI on quantum processors is “much more energetically favorable.” That’s the conclusion drawn by Oliver Knitter and team, who did their research on an IonQ Forte quantum computer, not in a simulation environment. Oliver and team have laid down foundational knowledge in the field with these results.... show more

IonQ

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$IonQ Quantum computing is officially out of the lab and driving real enterprise results! IonQ CEO Niccolo de Masi dropped massive updates on "Squawk on the Street" regarding recent acquisitions and new contracts. It’s clear: IonQ is at a "strategic and financial inflection point." Here are the key takeaways: 1/ Massive Financial Scaling IonQ is the first public quantum company to hit 9-figure revenue (tripling last year!), guiding toward a quarter-billion dollars this year " It's not a science experiment when we have... nine figures of revenue flowing in," says de Masi. The ultimate proof? 60% of their revenue is now commercial. 2/ Four Major 'World Quantum Day' Announcements IonQ just released industry-leading benchmarks focusing on the "cost to solution and time to solution". They also secured 3 massive contract wins: ✅ AFRL (Air Force Research Lab) IonQ constructs first networked quantum systems among remote quantum processing units. ✅ University of Maryland (UMD). ✅ DARPA for advanced quantum memory. 3/ Building the Future "Quantum Data Center " IonQ's tech stack goes far beyond base computing to include networking, security, and sensing. De Masi notes their tech is in all warfighting domains, "from submarines to up in the heavens in space". Why the heavy DARPA & AFRL investments? Because "they see the future for quantum data centers". The Bottom Line: Both government and commercial clients are realizing that working with the quantum ecosystem early gives them a massive competitive advantage. Full scoop 👇📹 #IonQ #QuantumComputing #DeepTech #DARPA #TechNews

$IonQ Quantum computing is officially out of the lab and driving real enterprise results! IonQ CEO Niccolo de Masi dropped massive updates on "Squawk on the Street" regarding recent acquisitions and new contracts. It’s clear: IonQ is at a "strategic and financial inflection point." Here are the key takeaways: 1/ Massive Financial Scaling IonQ is the first public quantum company to hit 9-figure revenue (tripling last year!), guiding toward a quarter-billion dollars this year " It's not a science experiment when we have... nine figures of revenue flowing in," says de Masi. The ultimate proof? 60% of their revenue is now commercial. 2/ Four Major 'World Quantum Day' Announcements IonQ just released industry-leading benchmarks focusing on the "cost to solution and time to solution". They also secured 3 massive contract wins: ✅ AFRL (Air Force Research Lab) IonQ constructs first networked quantum systems among remote quantum processing units. ✅ University of Maryland (UMD). ✅ DARPA for advanced quantum memory. 3/ Building the Future "Quantum Data Center " IonQ's tech stack goes far beyond base computing to include networking, security, and sensing. De Masi notes their tech is in all warfighting domains, "from submarines to up in the heavens in space". Why the heavy DARPA & AFRL investments? Because "they see the future for quantum data centers". The Bottom Line: Both government and commercial clients are realizing that working with the quantum ecosystem early gives them a massive competitive advantage. Full scoop 👇📹 #IonQ #QuantumComputing #DeepTech #DARPA #TechNews

TechInnovation

14,532 views • 4 months ago

D-Wave announced a scientific breakthrough published in the esteemed journal Science Magazine, confirming that its annealing quantum computer outperformed one of the world’s most powerful classical supercomputers in solving a complex magnetic materials simulation problem with relevance to materials discovery. The new landmark peer-reviewed paper, “Beyond-Classical Computation in Quantum Simulation,” validates this achievement as the world’s first and only demonstration of quantum computational supremacy on a useful problem. An international collaboration of scientists led by D-Wave performed simulations of quantum dynamics in programmable spin glasses—a computationally hard magnetic materials simulation problem with known applications to business and science—on both D-Wave’s Advantage2™ prototype annealing quantum computer and the Frontier supercomputer at the Department of Energy’s Oak Ridge Lab. D-Wave’s quantum computer performed a complex simulation in minutes and with a level of accuracy that would take nearly a million years using the supercomputer. In addition, it would require more than the world’s annual electricity consumption to solve this problem using the supercomputer, which is built with graphics processing unit (GPU) clusters. For decades, scientists have aspired to build a quantum computer capable of solving complex materials simulation problems beyond the reach of classical computers. D-Wave's advancements in quantum hardware have made it possible for its annealing quantum computers to process these types of problems for the first time. Magnetic materials simulations, like those conducted in this work, use computer models to study how tiny particles not visible to the human eye react to external factors. Magnetic materials are widely used in medical imaging, electronics, superconductors, electrical networks, sensors, and motors. This is an incredibly important achievement. Please join us in congratulating the D-Wave team and our global collaborators on this remarkable milestone. It’s a significant moment for the quantum computing industry. Learn more about this monumental achievement: Read the press release here: #QuantumSupremacy #QuantumRealized #QuantumComputing #DWave #Technology #Innovation #Optimization #MaterialsDiscovery #ScientificBreakthrough $QBTS

D-Wave announced a scientific breakthrough published in the esteemed journal Science Magazine, confirming that its annealing quantum computer outperformed one of the world’s most powerful classical supercomputers in solving a complex magnetic materials simulation problem with relevance to materials discovery. The new landmark peer-reviewed paper, “Beyond-Classical Computation in Quantum Simulation,” validates this achievement as the world’s first and only demonstration of quantum computational supremacy on a useful problem. An international collaboration of scientists led by D-Wave performed simulations of quantum dynamics in programmable spin glasses—a computationally hard magnetic materials simulation problem with known applications to business and science—on both D-Wave’s Advantage2™ prototype annealing quantum computer and the Frontier supercomputer at the Department of Energy’s Oak Ridge Lab. D-Wave’s quantum computer performed a complex simulation in minutes and with a level of accuracy that would take nearly a million years using the supercomputer. In addition, it would require more than the world’s annual electricity consumption to solve this problem using the supercomputer, which is built with graphics processing unit (GPU) clusters. For decades, scientists have aspired to build a quantum computer capable of solving complex materials simulation problems beyond the reach of classical computers. D-Wave's advancements in quantum hardware have made it possible for its annealing quantum computers to process these types of problems for the first time. Magnetic materials simulations, like those conducted in this work, use computer models to study how tiny particles not visible to the human eye react to external factors. Magnetic materials are widely used in medical imaging, electronics, superconductors, electrical networks, sensors, and motors. This is an incredibly important achievement. Please join us in congratulating the D-Wave team and our global collaborators on this remarkable milestone. It’s a significant moment for the quantum computing industry. Learn more about this monumental achievement: Read the press release here: #QuantumSupremacy #QuantumRealized #QuantumComputing #DWave #Technology #Innovation #Optimization #MaterialsDiscovery #ScientificBreakthrough $QBTS

D-Wave

65,039 views • 1 year ago

$IONQ The U.S. National Science Foundation just launched Project Triad: "the first-ever system where quantum sensing, networking and computing work together in concert," built to turn quantum into real-world applications across safety, healthcare, energy and defense. Now look at the elements. Sensing, computing, networking, the exact three domains NSF wants to unite. IonQ Federal's Rick Muller laid out all three at World Quantum Day, months earlier: Sensing: PNT clocks roughly 1000× more accurate than GPS (Vector Atomic), plus space (Capella) and optical comms (Skyloom). Networking: a contract in DARPA's Heterogeneous Architectures for Quantum (HARQ) program, plus QKD and entanglement distribution. Computing: nearing fault-tolerant operation in DARPA's Quantum Benchmarking Initiative (QBI), verified by DARPA. So it's not one program. IonQ is stacking two DARPA programs (HARQ and QBI) on top of the Vector Atomic, Capella and Skyloom acquisitions. His words: "IonQ can provide an engine to drive federal quantum integration that no other companies can." Now put the two diagrams side by side. NSF's illustration of an "integrated quantum system" and IonQ's timing architecture are the same picture: networked satellites, ground stations, sensors and a quantum computer, tied together by quantum links. NSF hasn't named a company. But it's building a national program around the architecture IonQ already has, down to the diagram. Sound familiar? 🔗 #IonQ #Quantum #ProjectTriad

$IONQ The U.S. National Science Foundation just launched Project Triad: "the first-ever system where quantum sensing, networking and computing work together in concert," built to turn quantum into real-world applications across safety, healthcare, energy and defense. Now look at the elements. Sensing, computing, networking, the exact three domains NSF wants to unite. IonQ Federal's Rick Muller laid out all three at World Quantum Day, months earlier: Sensing: PNT clocks roughly 1000× more accurate than GPS (Vector Atomic), plus space (Capella) and optical comms (Skyloom). Networking: a contract in DARPA's Heterogeneous Architectures for Quantum (HARQ) program, plus QKD and entanglement distribution. Computing: nearing fault-tolerant operation in DARPA's Quantum Benchmarking Initiative (QBI), verified by DARPA. So it's not one program. IonQ is stacking two DARPA programs (HARQ and QBI) on top of the Vector Atomic, Capella and Skyloom acquisitions. His words: "IonQ can provide an engine to drive federal quantum integration that no other companies can." Now put the two diagrams side by side. NSF's illustration of an "integrated quantum system" and IonQ's timing architecture are the same picture: networked satellites, ground stations, sensors and a quantum computer, tied together by quantum links. NSF hasn't named a company. But it's building a national program around the architecture IonQ already has, down to the diagram. Sound familiar? 🔗 #IonQ #Quantum #ProjectTriad

TechInnovation

17,144 views • 1 month ago

BREAKING: THE MOST IMPORTANT VIDEO TO WATCH IF YOU ARE INVESTED IN QUANTUM COMPUTING COMPANIES. $IONQ $RGTI $QBTS $QUBT The world's leading quantum computing researcher Scott Aaronson calls out the scams and snakeoilmen in the public quantum computing stock market. $IONQ $RGTI $QBTS $QUBT - "The most important thing that I can say in this whole interview, if I am taking to Retail investors is that unfortunately there are companies that I see that are really trying to solve the hardware problems, they might succeed, they might fail but they are really focused on solving the real problems and talking about it more or less honestly" - "and then there are companies that have focused on like marketing themselves to Retail investors and doing IPO's" i.e. the 4 public quantum computing companies IONQ, Rigetti, D-Wave and QUBT. - "and I see these 2 sets of companies being mostly disjoint from each other" - "So the companies that have focused on doing IPO's are actually not the ones that are in the lead on in the hardware, what they are in the lead on is selling a narrative to people...... - "convincing people this is already useful for solving problems in optimization and machine learning and finance, which sounds great to people, but all depends on you agreeing to not ask the question Q. well could a classical computer have done that just as well, could a classical computer actually have done that much faster and easier " "When people are talking about that the big use of a quantum computer is to solve optimization or machine learning problems or to turbo charge AI, or it can already do this, it's already delivering value to customers...." "these are the tells you are dealing with a SNAKEOIL SALESMAN" He calls out the "scammy" companies in this space! Remember the only 4 quantum pure play companies that have IPO'd are $IONQ $RGTI $QUBT $QBTS He also says earlier in the interview “I would say $IONQ has not demonstrated anything in trapped ion hardware close to what Quantinuum has demonstrated in the last year” YOU ARE BEING LIED TO! Full video in comments from the The Quantum Bull

BREAKING: THE MOST IMPORTANT VIDEO TO WATCH IF YOU ARE INVESTED IN QUANTUM COMPUTING COMPANIES. $IONQ $RGTI $QBTS $QUBT The world's leading quantum computing researcher Scott Aaronson calls out the scams and snakeoilmen in the public quantum computing stock market. $IONQ $RGTI $QBTS $QUBT - "The most important thing that I can say in this whole interview, if I am taking to Retail investors is that unfortunately there are companies that I see that are really trying to solve the hardware problems, they might succeed, they might fail but they are really focused on solving the real problems and talking about it more or less honestly" - "and then there are companies that have focused on like marketing themselves to Retail investors and doing IPO's" i.e. the 4 public quantum computing companies IONQ, Rigetti, D-Wave and QUBT. - "and I see these 2 sets of companies being mostly disjoint from each other" - "So the companies that have focused on doing IPO's are actually not the ones that are in the lead on in the hardware, what they are in the lead on is selling a narrative to people...... - "convincing people this is already useful for solving problems in optimization and machine learning and finance, which sounds great to people, but all depends on you agreeing to not ask the question Q. well could a classical computer have done that just as well, could a classical computer actually have done that much faster and easier " "When people are talking about that the big use of a quantum computer is to solve optimization or machine learning problems or to turbo charge AI, or it can already do this, it's already delivering value to customers...." "these are the tells you are dealing with a SNAKEOIL SALESMAN" He calls out the "scammy" companies in this space! Remember the only 4 quantum pure play companies that have IPO'd are $IONQ $RGTI $QUBT $QBTS He also says earlier in the interview “I would say $IONQ has not demonstrated anything in trapped ion hardware close to what Quantinuum has demonstrated in the last year” YOU ARE BEING LIED TO! Full video in comments from the The Quantum Bull

Common Sense Investor (CSI)

140,077 views • 8 months ago

I sat down with NVIDIA Sam Stanwyck (Sam Stanwyck) at ISC to talk about one of the most misunderstood areas in computing: quantum. We discussed why NVIDIA is not building a quantum computer, but instead the infrastructure around it: GPUs, AI, CUDA-Q, quantum simulation, control systems, error correction, and the path toward hybrid CPU/GPU/QPU supercomputing. The key takeaway: Quantum will likely not arrive as a standalone magic machine. It will arrive as part of a much larger accelerated computing stack, combining classical supercomputers, AI, GPUs, and quantum processors to tackle problems in chemistry, materials science, energy, optimization, and fundamental science. Full episode with Sam Stanwyck is now live.

I sat down with NVIDIA Sam Stanwyck (Sam Stanwyck) at ISC to talk about one of the most misunderstood areas in computing: quantum. We discussed why NVIDIA is not building a quantum computer, but instead the infrastructure around it: GPUs, AI, CUDA-Q, quantum simulation, control systems, error correction, and the path toward hybrid CPU/GPU/QPU supercomputing. The key takeaway: Quantum will likely not arrive as a standalone magic machine. It will arrive as part of a much larger accelerated computing stack, combining classical supercomputers, AI, GPUs, and quantum processors to tackle problems in chemistry, materials science, energy, optimization, and fundamental science. Full episode with Sam Stanwyck is now live.

Chubby♨️

22,673 views • 1 month ago

$IonQ Tennessee just allocated $20M to accelerate quantum computing - 🧵 Governor Bill Lee’s FY27 budget includes funding specifically designed to attract federal and private investment in quantum, targeting advanced manufacturing, life sciences, and logistics sectors. Why this matters: State-level quantum funding signals a shift from pure research to economic deployment. Tennessee isn’t funding university labs - they’re building infrastructure to attract quantum companies and create high-wage jobs. Tennessee already has Oak Ridge National Laboratory, one of the world’s premier quantum research facilities. Adding $20M in state support creates a complete ecosystem: research capability, government backing, workforce development, and commercial deployment pathways. The timing is perfect: Quantum companies with deployable systems can now tap into state partnerships, regional contracts, and workforce programs. This creates real commercialization opportunities beyond federal research grants. For context, IonQ already works with Oak Ridge and has the commercial systems ready to deploy. But this funding isn’t just about one company - it’s about Tennessee positioning itself as THE quantum hub in the Southeast, competing with Colorado, Maryland, and California. What to watch: When states start competing for quantum companies with actual budget allocations, it validates that quantum computing is becoming an economic sector, not just a science project. Expect more states to follow Tennessee’s lead in 2026. The quantum industry is transitioning from “interesting research” to “strategic economic investment” at the state government level. That’s a meaningful milestone. 🎯 #QuantumComputing #Tennessee #Innovation #IONQ #EconomicPolicy #TechIndustry

$IonQ Tennessee just allocated $20M to accelerate quantum computing - 🧵 Governor Bill Lee’s FY27 budget includes funding specifically designed to attract federal and private investment in quantum, targeting advanced manufacturing, life sciences, and logistics sectors. Why this matters: State-level quantum funding signals a shift from pure research to economic deployment. Tennessee isn’t funding university labs - they’re building infrastructure to attract quantum companies and create high-wage jobs. Tennessee already has Oak Ridge National Laboratory, one of the world’s premier quantum research facilities. Adding $20M in state support creates a complete ecosystem: research capability, government backing, workforce development, and commercial deployment pathways. The timing is perfect: Quantum companies with deployable systems can now tap into state partnerships, regional contracts, and workforce programs. This creates real commercialization opportunities beyond federal research grants. For context, IonQ already works with Oak Ridge and has the commercial systems ready to deploy. But this funding isn’t just about one company - it’s about Tennessee positioning itself as THE quantum hub in the Southeast, competing with Colorado, Maryland, and California. What to watch: When states start competing for quantum companies with actual budget allocations, it validates that quantum computing is becoming an economic sector, not just a science project. Expect more states to follow Tennessee’s lead in 2026. The quantum industry is transitioning from “interesting research” to “strategic economic investment” at the state government level. That’s a meaningful milestone. 🎯 #QuantumComputing #Tennessee #Innovation #IONQ #EconomicPolicy #TechIndustry

TechInnovation

15,775 views • 7 months ago

$Why quantum theory could have a fractal structure: explained in 83 minutes. The notion of true quantum nonlocality is absurd. In the latest episode of the Quantum Foundations Podcast, Prof Tim Palmer from the University of Oxford suggests that there is a hidden assumption in standard quantum mechanics, and dropping it will save us from this absurdity. Namely, the reality of counterfactuals: the physics of what could have happened but did not. Inspired by chaos theory and the fractal structure widespread in atmospheric physics, Palmer has developed a new underlying structure for quantum theory, with radical implications for our fundamental principles of quantum physics; the limits of quantum computation; and perhaps even the search for quantum gravity. Watch on my YouTube channel, or listen on Spotify and Apple Podcasts!$

Why quantum theory could have a fractal structure: explained in 83 minutes. The notion of true quantum nonlocality is absurd. In the latest episode of the Quantum Foundations Podcast, Prof Tim Palmer from the University of Oxford suggests that there is a hidden assumption in standard quantum mechanics, and dropping it will save us from this absurdity. Namely, the reality of counterfactuals: the physics of what could have happened but did not. Inspired by chaos theory and the fractal structure widespread in atmospheric physics, Palmer has developed a new underlying structure for quantum theory, with radical implications for our fundamental principles of quantum physics; the limits of quantum computation; and perhaps even the search for quantum gravity. Watch on my YouTube channel, or listen on Spotify and Apple Podcasts!

Dr Maria Violaris

18,259 views • 6 months ago

MUST WATCH!!!! John Preskill John Preskill- the world's leading authority on quantum computing - sits down with Brian Greene in an interview from just two months ago. Expect major drawdowns in the hype-driven names: $IONQ $RGTI $LAES $QUBT $QBTS Preskill, who serves as Director of Caltech’s Institute for Quantum Information and Matter (IQIM), was also named 2025 Academic Pioneer in Quantum by the Quantum World Congress. Key takeaways from his remarks: “A realistic timeline for quantum computing is 20 years.” “He has amplified the hype around quantum supremacy” This is a reality check, and it’s going to hit hard. Full interview available now on YouTube.

MUST WATCH!!!! John Preskill John Preskill- the world's leading authority on quantum computing - sits down with Brian Greene in an interview from just two months ago. Expect major drawdowns in the hype-driven names: $IONQ $RGTI $LAES $QUBT $QBTS Preskill, who serves as Director of Caltech’s Institute for Quantum Information and Matter (IQIM), was also named 2025 Academic Pioneer in Quantum by the Quantum World Congress. Key takeaways from his remarks: “A realistic timeline for quantum computing is 20 years.” “He has amplified the hype around quantum supremacy” This is a reality check, and it’s going to hit hard. Full interview available now on YouTube.

Common Sense Investor (CSI)

67,926 views • 10 months ago

📝 AI/ML for Biology & Healthcare: A Learning Path This blog is highly inspired by my experience and exploration in the field of ML for biology and healthcare. Everything that I've been studying for the past years and a more structured way to learn the foundational knowledge to tackle problems in this impactful field. Here's what I covered in the blog: — Programming & Engineering — AI & Machine Learning — Mathematics for ML — Healthcare — Biology & Biolomedicine This is what I hoped to have when I first started learning all this. 🔗 link:

📝 AI/ML for Biology & Healthcare: A Learning Path This blog is highly inspired by my experience and exploration in the field of ML for biology and healthcare. Everything that I've been studying for the past years and a more structured way to learn the foundational knowledge to tackle problems in this impactful field. Here's what I covered in the blog: — Programming & Engineering — AI & Machine Learning — Mathematics for ML — Healthcare — Biology & Biolomedicine This is what I hoped to have when I first started learning all this. 🔗 link:

TK • 木下

26,889 views • 9 months ago

China just dropped the world’s first Quantum Computing Operating System Origin Pilot. FREE. For everyone. 🇨🇳 Just like you download Windows for your laptop now anyone, anywhere on the planet can download this quantum OS. No waitlist. No restrictions. Just here you go, world. IBM and Google? Their systems are NOT available for public download. China just did what Silicon Valley hasn’t done yet. And this is just the beginning. AI is thinking. Robots are working. Bitcoin is the new backbone of money. The ones who understand this today will own tomorrow. Quantum. AI. Robotics. Bitcoin. This is the new world order. Are you in? #OriginPilot #QuantumComputing #China #AI #Robotics

China just dropped the world’s first Quantum Computing Operating System Origin Pilot. FREE. For everyone. 🇨🇳 Just like you download Windows for your laptop now anyone, anywhere on the planet can download this quantum OS. No waitlist. No restrictions. Just here you go, world. IBM and Google? Their systems are NOT available for public download. China just did what Silicon Valley hasn’t done yet. And this is just the beginning. AI is thinking. Robots are working. Bitcoin is the new backbone of money. The ones who understand this today will own tomorrow. Quantum. AI. Robotics. Bitcoin. This is the new world order. Are you in? #OriginPilot #QuantumComputing #China #AI #Robotics

CryptoWala

69,339 views • 5 months ago

DAN IVES JUST GAVE HIS TAKE ON WHERE THE QUANTUM COMPUTING RACE ACTUALLY STANDS The Wedbush analyst was asked what inning we're in. His answer: "We're maybe in the dugout in warmups, getting ready for the first inning. The game hasn't started." Ives calls quantum a "derivative play on AI" that will eventually become the next level pushing AI forward. He points to names like IonQ $IONQ and D-Wave $QBTS that he says have "phenomenal technologies" still building toward scale. He's most bullish on IBM $IBM, framing its quantum and AI bets as a real turnaround: "This is just the start of these turnarounds, and IBM continues to be one that has massive upside." He says CEO Arvind Krishna is "way underappreciated" for seeing where the technology is heading, putting him in the same tier as Jensen Huang. On the runway ahead, Ives pegs AI spending at $1 trillion over the next 3-4 years and says we're only 15%-20% through it. His bigger picture: "This is how we're going to get Nasdaq 30,000." Dan Ives

DAN IVES JUST GAVE HIS TAKE ON WHERE THE QUANTUM COMPUTING RACE ACTUALLY STANDS The Wedbush analyst was asked what inning we're in. His answer: "We're maybe in the dugout in warmups, getting ready for the first inning. The game hasn't started." Ives calls quantum a "derivative play on AI" that will eventually become the next level pushing AI forward. He points to names like IonQ $IONQ and D-Wave $QBTS that he says have "phenomenal technologies" still building toward scale. He's most bullish on IBM $IBM, framing its quantum and AI bets as a real turnaround: "This is just the start of these turnarounds, and IBM continues to be one that has massive upside." He says CEO Arvind Krishna is "way underappreciated" for seeing where the technology is heading, putting him in the same tier as Jensen Huang. On the runway ahead, Ives pegs AI spending at $1 trillion over the next 3-4 years and says we're only 15%-20% through it. His bigger picture: "This is how we're going to get Nasdaq 30,000." Dan Ives

WOLF

112,286 views • 3 months ago

Google’s Quantum AI Found Something Disturbing in String Theory. The Results Are Unsettling...🧐🤔 Google’s Quantum AI may have just opened a door that scientists weren’t ready for. While running experiments connected to string theory, researchers claim the system uncovered results that were not only unexpected — but deeply unsettling. Could this be the first sign that our understanding of the universe is incomplete? In this documentary-style breakdown, we’ll look at what the AI discovered, why physicists are both excited and disturbed, and how these findings could change the future of science. This is not just theory anymore — it’s a glimpse into something far bigger than we imagined...

Google’s Quantum AI Found Something Disturbing in String Theory. The Results Are Unsettling...🧐🤔 Google’s Quantum AI may have just opened a door that scientists weren’t ready for. While running experiments connected to string theory, researchers claim the system uncovered results that were not only unexpected — but deeply unsettling. Could this be the first sign that our understanding of the universe is incomplete? In this documentary-style breakdown, we’ll look at what the AI discovered, why physicists are both excited and disturbed, and how these findings could change the future of science. This is not just theory anymore — it’s a glimpse into something far bigger than we imagined...

UFO mania

196,710 views • 9 months ago

BOOM! An entire planet of people simulated in AI and it is open source! I have been running this for a few days. This is a big deal. I wrote about China simulation of 1 billion people. This is over 8 billion people simultaneously simulated in an open source AI platform. This is massive power for the individual and The Zero Human Company. I have the simulations run ideas and scenarios across all field of knowledge. I’ll write more soon on this. Its big!

BOOM! An entire planet of people simulated in AI and it is open source! I have been running this for a few days. This is a big deal. I wrote about China simulation of 1 billion people. This is over 8 billion people simultaneously simulated in an open source AI platform. This is massive power for the individual and The Zero Human Company. I have the simulations run ideas and scenarios across all field of knowledge. I’ll write more soon on this. Its big!

Brian Roemmele

101,089 views • 22 days ago

⚔️ Quantum vs Crypto: AI Video War ⚔️ We’re putting the debate on-chain and on-screen. 🎥 $5,000 bounty in $qONE for the best AI-generated videos taking a clear side: A) Quantum kills crypto B) Quantum is overhyped — crypto adapts How to enter: • Post an AI-generated video with a clear stance (obvious in the first 3 seconds) • Quote-tweet an AI video from the opposite side • Include the $qONE cashtag in your post Any AI format goes: Talking head · Simulation · Satire · Cinematic edit · Meme-grade genius Prizes (in $qONE): 🥇 $3,000 🥈 $1,500 🥉 $500 Winners decided by: Engagement · Quality · Story Selected by the team Starts Feb 3rd Ends Feb 24th Choose your side. Let the AI 🎦war begin.

⚔️ Quantum vs Crypto: AI Video War ⚔️ We’re putting the debate on-chain and on-screen. 🎥 $5,000 bounty in $qONE for the best AI-generated videos taking a clear side: A) Quantum kills crypto B) Quantum is overhyped — crypto adapts How to enter: • Post an AI-generated video with a clear stance (obvious in the first 3 seconds) • Quote-tweet an AI video from the opposite side • Include the $qONE cashtag in your post Any AI format goes: Talking head · Simulation · Satire · Cinematic edit · Meme-grade genius Prizes (in $qONE): 🥇 $3,000 🥈 $1,500 🥉 $500 Winners decided by: Engagement · Quality · Story Selected by the team Starts Feb 3rd Ends Feb 24th Choose your side. Let the AI 🎦war begin.

qONE

45,838 views • 7 months ago

We want to make AI accessible for everyone, so we're reducing our API prices by ~50%. Consumer AI growth is still blocked by model costs. 97% of consumer AI users will never pay. But every session still consumes tokens. This is the math we've found every consumer AI developer is stuck with. The model pricing they're forced to use, was built for $300/mo enterprise seats, not $10/month consumer subscriptions. So we're taking a step to solve this with reduced pricing across TTS, STT and LLMs. Teams like Wishroll, Biblechat, Talkpal, and Luvu are already seeing 40-95% reductions in their AI costs. Full breakdown on our blog: Pricing details in bio link.

We want to make AI accessible for everyone, so we're reducing our API prices by ~50%. Consumer AI growth is still blocked by model costs. 97% of consumer AI users will never pay. But every session still consumes tokens. This is the math we've found every consumer AI developer is stuck with. The model pricing they're forced to use, was built for $300/mo enterprise seats, not $10/month consumer subscriptions. So we're taking a step to solve this with reduced pricing across TTS, STT and LLMs. Teams like Wishroll, Biblechat, Talkpal, and Luvu are already seeing 40-95% reductions in their AI costs. Full breakdown on our blog: Pricing details in bio link.

Inworld AI

622,880 views • 2 months ago

The Week Ahead In Technology for August 3, 2026: AMD won the relevance argument. Now it has to prove the gigawatts turn into revenue. Last week the AI buyers reported. This week the sellers do. $AMD reports for the first time since Helios hit full production, with OpenAI, Meta, and Anthropic committed at gigawatt scale. Hope to see it in the guide. $ALAB and $LSCC cover connectivity and FPGAs, $ANET the network build-out, $IONQ the quantum side, and $PLTR the AI software read. It’s also memory and storage week. FMS turns twenty in Santa Clara with Samsung keynoting a memory-centric vision for AI, and $SNDK lands the season’s first pure-play NAND read with memory pricing power finally back. $SPCX opens its books for the first time ever. Starlink is the engine, Starship is the spend, and with OpenAI and Anthropic in the IPO queue, this debut sets the tone for AI-era mega listings. Black Hat, DEF CON, and Ai4 collide in Las Vegas with AI on both sides of the security fight and Microsoft keynoting on agentic security. In Washington, the Senate takes up kids online safety and AI chatbot bills. Carrying over: EU and California AI transparency rules are now live. Labeling AI content is the law.

The Week Ahead In Technology for August 3, 2026: AMD won the relevance argument. Now it has to prove the gigawatts turn into revenue. Last week the AI buyers reported. This week the sellers do. $AMD reports for the first time since Helios hit full production, with OpenAI, Meta, and Anthropic committed at gigawatt scale. Hope to see it in the guide. $ALAB and $LSCC cover connectivity and FPGAs, $ANET the network build-out, $IONQ the quantum side, and $PLTR the AI software read. It’s also memory and storage week. FMS turns twenty in Santa Clara with Samsung keynoting a memory-centric vision for AI, and $SNDK lands the season’s first pure-play NAND read with memory pricing power finally back. $SPCX opens its books for the first time ever. Starlink is the engine, Starship is the spend, and with OpenAI and Anthropic in the IPO queue, this debut sets the tone for AI-era mega listings. Black Hat, DEF CON, and Ai4 collide in Las Vegas with AI on both sides of the security fight and Microsoft keynoting on agentic security. In Washington, the Senate takes up kids online safety and AI chatbot bills. Carrying over: EU and California AI transparency rules are now live. Labeling AI content is the law.

Patrick Moorhead

31,041 views • 29 days ago

AI at scale is hitting a hard limit with energy. As AI infrastructure expands, power demand, not just compute architecture, is emerging as the gating constraint and pushing frontier builders toward vertically integrated deep tech bets spanning quantum discovery and fusion energy. Lenovo Data Center's Flynn Maloy and Jason Gibson, CEO and Co-founder of Quantum Formatics, discuss their collaboration to meet this challenge. They're betting on a dual-front strategy: leveraging quantum-driven simulation to accelerate material discovery while simultaneously pursuing fusion as the long-term energy unlock. Next-generation infrastructure requires breakthroughs not just in chips, but in the physical systems that power them.

AI at scale is hitting a hard limit with energy. As AI infrastructure expands, power demand, not just compute architecture, is emerging as the gating constraint and pushing frontier builders toward vertically integrated deep tech bets spanning quantum discovery and fusion energy. Lenovo Data Center's Flynn Maloy and Jason Gibson, CEO and Co-founder of Quantum Formatics, discuss their collaboration to meet this challenge. They're betting on a dual-front strategy: leveraging quantum-driven simulation to accelerate material discovery while simultaneously pursuing fusion as the long-term energy unlock. Next-generation infrastructure requires breakthroughs not just in chips, but in the physical systems that power them.

Six Five Media

224,069 views • 4 months ago

Over the past fiscal year, our customers and partners have driven pragmatic outcomes by implementing AI-first strategies across their organizations. With AI Transformation as their framework, we helped them reinvent employee experiences, reinvent customer engagement, reshape business processes, and bend the curve on innovation for their people, businesses and industries. Check out my latest blog to read several customer and partner stories from the past quarter reflecting the success we have seen broadly in FY25, and what we can achieve together with an approach grounded in AI business solutions, cloud and AI platforms, and security.

Over the past fiscal year, our customers and partners have driven pragmatic outcomes by implementing AI-first strategies across their organizations. With AI Transformation as their framework, we helped them reinvent employee experiences, reinvent customer engagement, reshape business processes, and bend the curve on innovation for their people, businesses and industries. Check out my latest blog to read several customer and partner stories from the past quarter reflecting the success we have seen broadly in FY25, and what we can achieve together with an approach grounded in AI business solutions, cloud and AI platforms, and security.

Judson Althoff

53,517 views • 1 year ago

Strategy is proud to announce a strategic partnership with marking an important milestone in their AI journey. Strategy makes AI reliable on enterprise data, and is committed to helping organizations transform data into actionable insights and make faster, more informed decisions. Through this collaboration, we are enabling to further leverage data as a strategic asset across their organization, powered by Strategy Mosaic, our Universal Semantic Layer that gives AI the business context it needs to produce consistent, governed results. This partnership aligns with long-term vision of embedding AI and data-driven decision-making into every aspect of their business. By enhancing their analytical capabilities with Strategy, we are helping to build a stronger foundation for innovation, operational excellence, and customer value. As continues its AI-first journey, Strategy is proud to play a role in supporting their growth and shaping the future of their organization. #AI #SemanticLayer #InsuranceTech #StrategyMosaic

Strategy is proud to announce a strategic partnership with marking an important milestone in their AI journey. Strategy makes AI reliable on enterprise data, and is committed to helping organizations transform data into actionable insights and make faster, more informed decisions. Through this collaboration, we are enabling to further leverage data as a strategic asset across their organization, powered by Strategy Mosaic, our Universal Semantic Layer that gives AI the business context it needs to produce consistent, governed results. This partnership aligns with long-term vision of embedding AI and data-driven decision-making into every aspect of their business. By enhancing their analytical capabilities with Strategy, we are helping to build a stronger foundation for innovation, operational excellence, and customer value. As continues its AI-first journey, Strategy is proud to play a role in supporting their growth and shaping the future of their organization. #AI #SemanticLayer #InsuranceTech #StrategyMosaic

Strategy

55,060 views • 1 month ago