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The approach right now is just to integrate LLMs and AI into various parts of the OS or productivity platforms rather than architect AI from the ground up to be integralThe integration (more like shoehorning) of AI into operating systems like Windows does indeed prompt the question of whether a complete redesign, starting from the kernel upwards, is necessary to fully harness AI’s capabilities in this new era so we need to take a look at what might be required Superficial Add-Ons: current operating systems could integrate AI as an additional layer, enhancing certain functionalities A redesign from the kernel level could embed AI more deeply into the core functions of the OS, leading to a more integral approachResource Management and Scheduling: traditional operating systems are not primarily designed for the complexities of AI workloads Redesigning the kernel could allow for more efficient management of resources (like CPU, GPU, and memory) for AI processes, optimising performance and energy consumptionSecurity and Privacy: AI introduces new security and privacy challenges A kernel redesigned with AI in mind could incorporate more advanced security protocols to handle these challenges, especially in processing large volumes of sensitive dataReal-Time Processing and Edge Computing: AI applications, particularly those involving machine learning and real-time data processing, can benefit from low-latency and high-speed processing A kernel-level redesign could optimise these processes, especially for edge computing scenariosAutonomous Operation and Self-Healing: an AI-driven kernel could enable the operating system to perform autonomous optimisation and self-healing tasks, predicting and preventing system failures, and optimising performance without human interventionHardware Acceleration: modern AI applications often rely on specialised hardware like GPUs and TPUs A kernel designed with these in mind could provide better support and optimisation for such hardware, enhancing AI application performance Much like what Graphcore set out to do with its IPU but has fallen foul of product market fit and high capital investment requirements to continueBackward Compatibility and Transition: a significant challenge in redesigning the kernel for AI is maintaining compatibility with existing applications and systems This transition would require careful planning and gradual implementationAdaptive Behaviour: the system could adapt its behaviour based on the environment and usage patterns For instance, it could optimise itself for energy efficiency, performance, or security, depending on the contextIf we take a revolutionary approach to operating system design, combining AI-first architecture, kernel-level AI integration, and decentralisation as core principles, a new kernel and OS architecture would differ significantly from traditional systems like Windows and Linux Of course, such a shift would also require overcoming significant bumps in the road in terms of development, adoption, and compatibility with existing tech and infrastructure No mean feat but then if you approached this from the angle that building an OS like this was a Blue Ocean Strategy then being patient and nurturing this over a period of a couple of decades and this is bigger game and prize to aim forBlue ocean strategy is the simultaneous pursuit of differentiation and low cost to open up a new market space and create new demand It is about creating and capturing uncontested market space, thereby making the competition irrelevant It is based on the view that market boundaries and industry structure are not a given and can be reconstructed by the actions and beliefs of industry playersRed oceans are all the industries in existence today — the known market space, where industry boundaries are defined and companies try to outperform their rivals to grab a greater share of the existing marketBlue oceans denote all the industries not in existence today — the unknown market space, unexplored and untainted by competition Like the ‘blue’ ocean, it is vast, deep and powerful –in terms of opportunity and profitable growthThe Nintendo Wii launched in 2006 and at its heart is the concept of value innovation This is a key principle of blue ocean strategy which sees low cost and differentiation being pursued simultaneouslyTo reduce costs, Nintendo did away with the hard disk and DVD functionality found in most game consoles and reduced the processing quality and graphics At the same time, Nintendo introduced a wireless motion control stick to differentiate itself against the market offering This allowed the company to offer a range of new features and benefits that hadn’t been seen in the world of gaming previously such as the ability to use a games console to get fit or to play in a larger social groupBy pursuing value innovation, Nintendo could go beyond competing against the likes of PlayStation and X-Box in a crowded and fiercely competitive red ocean The Nintendo Wii, with its innovative, new features and affordable price point, appealed to an entirely new and expansive market — a blue ocean-spanning non-gamers, the elderly and parents with young childrenBy adopting the same approach with a new operating system it would obliterate the incumbent market riddled with technical debt and legacy which would be unable to respond because of the effort required to change direction The reason I chose AI and Space was because they are complementary approaches to the same problem using the same answers We’re building on concepts and ideas that have never been pulled together like this before but could lead to the building blocks of the next 50–100 years of software architecture because they have to be fit for purpose for the brave new world that’s coming at us fastTake the current experimental deployments of IPFS (Interplanetary File System) with Lockheed Martin This mission is the first of its kind to evaluate in-space use cases for decentralised storage It will be hosted aboard Lockheed Martin’s self-funded LM 400 Technology Demonstrator — a software-defined satellite about the size of a refrigerator, designed to support a wide range of missions and customers Once the spacecraft is in orbit, it will use its SmartSat™ software-defined satellite technology to upload and perform the IPFS demonstrationWe’re experimenting with decentralised technologies all the time but seem hesitant to make it a core foundation of platforms going forwardThese are conceptual frameworks and ideas I’ve been kicking around and god knows whether they’ll stick but if there’s anyone out there nodding in violent agreement — whether you’re a software engineer or an investor — beat down my door and lets talk because I have a desire to make this a realityI love ChatGPT like I’m crazy, but somehow today’s story won’t be about ChatGPTBut before that, allow me to share a brief comment from a reader on one of my typical side hustle storiesNow, most of the side 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