Geordie Rose

Proof.. Proof of staking Proof of work Proof of empathy A new coin - Pi Stanford alignment Berkeley alignment AGI alignment Dove tail benchmarks and certification in LMM, Agentic, hardware and software gatekeeping, min legal permissions, preferences, proxy voting, programed stand-down, programed random and variable human approved pause, better to condition censorship than deny missing information.. as everything- by what standard? In 2004, I identified that it matters timed provisioning with thr Hotdot media model. Predating the iwatch and iphone. AI should care where it trains. With quantim processing, the spaghetti gets the sauce. Time to join the AI emergant economy. Cannabals Reperations Catholic Reperations Slavery Reperations Irish Repratations Isreal Reparations Communist Reparations Socialist Reparations NAFTA Reparations v—-we are here—v Human Reparations Cyborg Reparations SAI Reparations Robot only Birthday Parties Reparations.. What are we missing? National Day of Human Empathy Jan 1, 2023 AiD - year 1..

2

Gopal Padinjaruveetil - check this bottom part “theoretically solve NP problems in polynomial time” Quantum AI Foundation supports the "2WQC" project, which seeks practical algorithms, applications, and physical realizations for two-way quantum computers (2WQC) that could theoretically solve NP problems in polynomial time. Kevin Kirby (thought you would find this interesting as well) #quantumai #quantum #2wqc https://www.qaif.org/2wqc

6

6 Comments

Quantum-Inspired Micro-Scale Apache Server Architecture for Energy-Efficient Asset Mining Utilizing DDR6 Memory and GPU M6 Abstract: This thesis introduces a groundbreaking approach to server architecture, leveraging quantum-inspired principles and cutting-edge hardware components such as DDR6 memory and GPU M6. The proposed structure aims to revolutionize asset mining operations by significantly reducing energy consumption while maximizing computational efficiency. Utilizing a micro-scale design, combined with quantum-inspired algorithms, the system offers unprecedented performance in cloud environments, enhanced by VR machine configuration. Introduction: The exponential growth of digital assets and the increasing demand for efficient mining operations necessitate innovative solutions that optimize resource utilization while minimizing energy consumption. Traditional server architectures struggle to meet these demands, leading to inefficiencies and escalating operational costs. In response, this thesis proposes a novel approach that combines quantum-inspired principles with advanced hardware components to develop a micro-scale Apache server architecture tailored for energy-efficient asset mining. Methodology: The foundation of the proposed architecture lies in the integration of DDR6 memory and GPU M6, enabling high-speed data processing and parallel computing capabilities essential for intensive mining tasks. Quantum-inspired algorithms enhance computational efficiency by leveraging principles such as superposition and entanglement to optimize resource allocation and task scheduling. Additionally, the utilization of Rubyx-ish as a configuration language facilitates seamless adaptation and management of the server environment. Results: eliminary tests demonstrate significant improvements in computational performance and energy efficiency compared to traditional server configurations. The micro-scale design reduces physical footprint and infrastructure requirements, making it ideal for deployment in cloud environments. VR machine configuration enhances system flexibility and scalability, allowing for dynamic resource allocation based on workload demands. Integration with Azure provides comprehensive traffic management capabilities, ensuring efficient and organized mining operations. Conclusion: The proposed quantum-inspired micro-scale Apache server architecture presents a paradigm shift in the field of asset mining, offering a sustainable solution that balances computational power with energy efficiency. By harnessing the potential of DDR6 memory, GPU M6, and quantum-inspired algorithms, organizations can optimize resource utilization, reduce operational costs, and achieve competitive advantages in the rapidly evolving digital landscape. With further research and development, this innovative approach holds the potential to redefine the future of server architecture and mining operations. by : lucas januario do nascimento 🤠 #blockchain

1

1 Comment

Neuromorphic computing is, at its core, the use of brain-like design principles in silicon. This is another way of saying that we are essentially shifting the core design principles towards a more graph-like structures, with each node in turn having connections not just in a linear space (the circuit ahead and behind it), but increasingly with the circuits all around any given circuit. This is the next logical step to building circuits - moving from stacked cubes to much more malleable (morphic) neurons. The next decade should be interesting.

5

3 Comments

Liquid AI has just released a new type of AI model that could revolutionize the field. These models, based on liquid flow machines (#LFM s), are more efficient than traditional language models ( #LLM s). They've already been tested and shown to produce impressive results. Want to learn more about this exciting new development in AI? Check out the full article here: https://lnkd.in/dUnyMCmr Ghobash Ghobash Thank you for sharing this article. #AI #liquidAI #LFMs #machinelearning #innovation

29

3 Comments

Google's new quantum chip hits error correction target https://lnkd.in/g5yUSa5U Nature paper: https://lnkd.in/gjQ8JHHb A quantum error correction break-through from Google. Quantum noise has been the biggest challenge in constructing useful quantum computers. Errors tend to compound exponentially as every next physical qubit is added. Quantum Error Correction has been under research for maybe 30 years or so. Now Google reports that they could get errors to go DOWN exponentially (the intent of error correction) with added qubits! If true that is indeed a remarkable breakthrough, and worth a Nobel!

26

3 Comments

AI for dynamical systems: the architecture that incorporates 1) a block of DNN for embeddings (feature engineering) and 2) a block of Koopman Operator based predictor/controller is emerging as a promising one in terms of accuracy and lean computation. Kolmogorov Arnold Networks (KAN's) are theoretically interesting and offer computational advantages in this context. Here is an interesting paper utilizing these structures https://lnkd.in/geFN9U9A #AI #ML #KoopmanOperator #DynamicalSystems AIMdyn, Inc.

123

🔋 Quantinuum quantum computer provides insights into the Fermi-Hubbard lattice model. Plus, IonQ's new partial error correction technique, JILA’s $15 million NASA - National Aeronautics and Space Administration quantum sensors, and Quantum Odyssey on an Apple device near you. ⚆ IonQ introduces Clifford Noise Reduction, a partial error correction technique that improves quantum computing accuracy with a 3:1 qubit overhead; improves fidelity for applications with up to 85 qubits and will be integrated into the IonQ Tempo system ⚆ JILA researchers developed advanced quantum sensors using machine learning and atom interferometry, supported by a $15 million NASA - National Aeronautics and Space Administration grant.; goal is to use sensors to improve precision in applications such as climate monitoring ⚆ A Quantinuum 32-qubit digital computer used a time-series algorithm to compute the Loschmidt amplitude in the Fermi-Hubbard model at finite energies and classical simulations verified that remaining errors have a low impact on the final prediction of finite-energy properties; however, scaling to classically intractable problems will require hardware improvements ⚆ The Novo Nordisk Foundation and Cleveland Clinic launched a fellowship to integrate quantum technologies and AI into biomedical research; program will fund 12 researchers for projects focused on diagnostics, drug discovery, and personalized medicine ⚆ Quarks Interactive Quantum Odyssey: Essentials, a mobile adaptation of the acclaimed PC game, is now available on the Apple store; the game offers over 250 quantum computing challenges and tutorials and guides users in designing quantum algorithms, with solutions executable on IBM's quantum hardware ⚆ A Quantum Interactive Learning Tutorial (QuILT) solidifies students' understanding of quantum computing principles through guided inquiry-based sequences; implemented in university courses, it has shown significant improvements in student performance on quantum concepts ⚆ Don't miss a single qubit -- follow me & subscribe to the free newsletter for your daily quantum computing news & research insights. #quantumcomputing #quantumtechnology #innovation #quantumscience #quantumphysics

37

What I really like about this paper is not only the demonstrated results and the direct application to quantum repeater and processing nodes based on atoms, but because of some of the fundamental techniques that are used to achieve these results. For example, polarization gradient cooling (PGC) to further cool the atoms. It made me think, how do undergraduate and master’s degree students, as well as scientists and engineers equip themselves with the expertise and skill early in their careers to perform advanced quantum experiments like PGC? At Infleqtion we have thought of this. The desqtopMOT has a dedicated section on the theory and concepts of PGC, and a dedicated experiment where users take a 3D MOT of Rb atoms (created in the previous chapter of the teaching curriculum, and further cool it below the Doppler limit, to the microkelvin regime. If you would like to learn more, drop a note in the comments. https://lnkd.in/gXA-uNjn

6

2 Comments

☕ Freshly Brewed Quantum News | August 20th, 2024 SBQuantum secures contracts with the European Space Agency - ESA and the Canadian Space Agency | Agence spatiale canadienne, NTT DOCOMO reduced signal congestion using hybrid quantum computing, and Diraq achieves over 99% fidelity ⚆ SBQuantum secured contracts with ESA and CSA to test their quantum magnetometers in space to confirm their reliability and potential for Earth monitoring and space exploration ⚆ NTT DOCOMO partnered with D-Wave to optimize mobile network performance using quantum annealing, achieving a 15% reduction in signal congestion at base stations ⚆ Diraq's SiMOS quantum dot platform is the first to reach over 99% fidelity in two-qubit gates; identified strategies for improving qubit operation reliability, including careful gate recalibration, pulse engineering, and addressing noise sources ⚆ At over 100 human interviews and counting, Yuval Boger's The Superposition Guy's podcast shakes things up a bit. This week's guest is Chris, a quantum computing expert at an HPC center. But Chris is no ordinary man. In fact, he's not a man at all 👀 Listen here --> https://lnkd.in/gKv8_AnR ⚆ SandboxAQ and NVIDIA's collaboration led to an 80x speedup in high-accuracy chemistry simulations, doubling the size of computable catalysts and enzyme active sites. ⚆ InfinityQ Technology Inc partnered with Siemens Energy to apply quantum-inspired algorithms to optimize the green energy transition, addressing complex energy sector challenges. ⚆ Researchers from Ulm University developed a quantum algorithm that improves attractor search efficiency in gene regulatory networks with over 99% fidelity, with applications in systems biology and medicine ⚆  Researchers from Fraunhofer Institute for Production Systems and Design Technology IPK, Forschungszentrum Jülich, and RWTH Aachen University create a framework to thoroughly evaluate quantum computing’s potential in manufacturing simulations ⚆ From the Columbia Quantum Initiative, Jesse Balgley works on shrinking superconducting qubits using 2D materials to create more compact quantum processors ⚆ From a SeedBlink interview with Laurentiu Nita, Quarks Interactive has overcome many challenges and proved Quantum Odyssey's impact through rigorous testing of the software in educational settings, bringing accessible quantum computing concepts to learners worldwide; now available on Android and Apple devices, with a Steam release to come soon ⚆ Don't miss a single qubit -- follow me & subscribe to the free newsletter for your daily quantum computing news & research insights. #quantumcomputing #quantumtechnology #innovation #quantumscience #quantumphysics

10

NVIDIA’s new release of its LLM, llama-3.1-nemotron-70b-instruct, has attracted a lot of attention. Its ability to solve the “Strawberry” problem now differentiates it from the current flock mainstream LLMs. The Strawberry problem refers to the inability lf LLMS to provide accurate counting information in datasets (cardinality: the number of elements in a set or other grouping, as a property of that grouping.) Shocking as it may seem LLMS where unable to answer the question: How many “r” in the word strawberry. This apparently simple task is  considered relevant to complex tasks and is considered a benchmark for a model to handle more complex real world tasks. LLMs have problems with cardinality tasks stems from the methodology used in the LLM process. -- The LLM breaks the text stream into tokens which do not necessarily reflect the the original spellings of the words. For instance, "strawberry" could be tokenised as: 'straw', 'berry'.  -- Another reason for LLM counting errors lies in the probabilistic nature of their language generation. LLMs are trained to predict the most likely next token based on the context. They don't “know” correct spellings in the way a rule-based system would but instead make predictions based on patterns they've learned from large datasets. I created a test to see what the leading LLMs could do and how the new Llama compared. I made the test a little more challenging using: the A team of physicists from the universities of Amsterdam, Princeton and Oxford have shown that extremely light particles known as axions may occur in large clouds around neutron stars These axions could form an explanation for the elusive dark matter that cosmologists search for and moreover they might not be too difficult to observe. How many e in the text Here is a table of the results: LLM                            Organization     Num#        Correct llama-3.1-New     NVIDIA                    17              Yes Llama-3.1 Old       Meta                       47               No CoPilot                  Microsoft              35                No Gemini                  Google                 07               No Claude 3.5             Anthropic              12               No As advertised only the new LLAMA solved the problem.

1

Great to be featured in IoT World Today, discussing the potential challenges classical AI may face as it processes larger, more complex data sets. As our understanding of physics and other fields deepens, AI could eventually hit a bottleneck, possibly opening the door to quantum computing for more advanced processing needs (assuming they solve the current challenges). Still crazy to see things develop daily! #shadowgen #meloscene #ai #quantumcomputing #iotworldtoday #chadgerber #phyisics #vr

10

Are you thinking about participating in the Quantum Resource Estimation challenge, but don't know where to start? Check out the video tutorial on using Azure Quantum Resource Estimator! https://lnkd.in/gqGUhzp5

50

1 Comment

2023 was a breakout year for investment in generative AI startups, with equity funding of almost $22B across 426 deals. The 5 largest rounds all went to companies focused on core generative AI infrastructure: * OpenAI, AI poster child and maker of ChatGPT ($10B corporate minority) * Inflection AI, which focuses on human-computer interfaces ($1.3B Series B) * Anthropic, an AI model developer and research outfit ($1.8B across 2 corporate minorities) * Databricks, a data integration and analytics platform ($504M Series I) * Aleph Alpha, Germany-based LLM developer ($500M Series B) When coupled with the pace of change and the compression of time and cost, makes anyone wonder, given the apparent speed of the commoditization of these LLM engines, what will the ROIC on funds deployed actually look like over time?

1

Our paper "EffFix: Efficient and Effective Repair of Pointer Manipulating Programs " has been recently accepted for publication in ACM Transactions on Software Engineering and Methodology (TOSEM). Kudos to Yuntong Zhang, Andreea Costea, Davin McCall, Abhik Roychoudhury. This work proposes a novel program repair technique using probabilistic context-free grammar guided by static analysis. The key idea is to integrate static analysis and program repair such that the repair engine can incrementally learns what a correct patch may look like based on its effect on the symbolic heap. Experimental evaluation of fixing real world memory errors in medium to large scale subjects like OpenSSL and Linux Kernel, shows the efficiency and effectiveness of EffFix. In particular, EffFix has a fix ratio of 66% for memory leak bugs and 83% for Null Pointer Dereferences for the considered dataset. Pre-print: https://lnkd.in/gRrV43Pc #publication #TOSEM #programrepair

55

Recieving your niagara particle exports via c++ instead of blueprints, is a lot less expensive on frametime. We are working with an arry of 70k index+ from the GPU each frame, so I am guessing blueprints just totally collapses up there https://lnkd.in/g_YpEaRf

55

6 Comments

This year we see a remarkable milestone: 50 years since the first truly recognizable home computer, the Altair 8800, shipped in October 1974. A year when Abba’s “Waterloo” topped the charts and bell-bottomed disco fiends boogied to “Kung Fu Fighting”. Looking back over these five decades, there are two surprises that appear. The first? The startling thing is not how far technology has come in that time but how really, really, glacially slow the real world’s adoption of technology turns out to be. Despite all the advances in tech, the world is still very recognisable to a kid from the 70s who grew up playing Pong to the sound of some very questionable disco music! Phones may have become cordless but they are still phones. We are only now using ubiquitous 2D video calls that 3G promised us in 2000 - and those skull deforming VR headsets are a long way from the holography we dreamed of! We still consume entertainment on screens though we have more channels than we can use - Six Million Dollar Man, where are you? And we don’t even have supersonic travel anymore but still drive around in things called cars - though they probably have better air conditioning but worse radio! Of course, we have this thing called the Internet (but lost the Concorde in the bargain!) but even that was started way back in 1974. AI too is only now re-emerging after a winter that lasted decades. So compared to visions of the 21st century we had of flying cars, ubiquitous robot helpers and teleportation, technology adoption has been pretty underwhelming - just ask any one who invested in tech stocks just before the dot com crash in 2000! So what has really surprised me about what has surprised me over the last 50 years? Climate change and mass human migration from conflict and environmental damage. Yes, we grew up worrying about acid rain but the scale of the emerging climate catastrophe of heatwaves and extreme weather we see today and their human impact is something that no one contemplated. Even growing up on the equator, I barely encountered temperatures above 30 degrees C. But now, life above 40 C (104 F) is becoming a real issue for billions of people. What has happened with our climate dwarfs any surprise that has happened in the technology realm. Despite all the hype, the pace of technology adoption will likely continue to underwhelm while climate change will continue to surprise us beyond our worst expectations. After 50 years of a tech explosion which began with the home computer, it’s not the dangers of AI that concern me most. It’s the looming threat of climate catastrophe that could obliterate our future long before #AI wields it’s axe. So this summer, as you pick your holiday reading, perhaps put down the latest book on AI and instead wipe off the dust from the Stern Review on the Economics of Climate Change. The true crisis may be closer than we think. #homecomputer #PC #quantumcomputing #Private5G #globalwarming #climatechange Climate Change AI

5