{"id":395818,"date":"2026-01-06T18:28:22","date_gmt":"2026-01-06T18:28:22","guid":{"rendered":"https:\/\/www.newsbeep.com\/au\/395818\/"},"modified":"2026-01-06T18:28:22","modified_gmt":"2026-01-06T18:28:22","slug":"intelition-changes-everything-ai-is-no-longer-a-tool-you-invoke","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/au\/395818\/","title":{"rendered":"‘Intelition’ changes everything: AI is no longer a tool you invoke"},"content":{"rendered":"

AI is evolving faster than our vocabulary for describing it<\/a>. We may need a few new words. We have \u201ccognition\u201d for how a single mind thinks, but we don’t have a word for what happens when human and machine intelligence work together to perceive, decide, create and act. Let\u2019s call that process intelition<\/a>.\u00a0<\/p>\n

Intelition isn\u2019t a feature; it\u2019s the organizing principle for the next wave of software where humans and AI operate inside the same shared model of the enterprise. Today\u2019s systems treat AI models as things you invoke from the outside. You act as a \u201cuser,\u201d prompting for responses or wiring a \u201chuman in the loop\u201d step into agentic workflows. But that’s evolving into continuous co-production: People and agents are shaping decisions, logic and actions together, in real time. <\/p>\n

Read on for a breakdown of the three forces driving this new paradigm. <\/p>\n

A unified ontology is just the beginning<\/p>\n

In a recent shareholder letter<\/a>, Palantir CEO Alex Karp wrote that \u201call the value in the market is going to go to chips and what we call ontology,\u201d and argued that this shift is \u201conly the beginning of something much larger and more significant.\u201d By ontology, Karp means a shared model of objects (customers, policies, assets, events) and their relationships. This also includes what Palantir calls an ontology\u2019s \u201ckinetic layer\u201d that defines the actions and security permissions connecting objects.<\/p>\n

In the SaaS era, every enterprise application creates its own object and process models. Combined with a host of legacy systems and often chaotic models, enterprises face the challenge of stitching all this together. It\u2019s a big and difficult job, with redundancies, incomplete structures and missing data. The reality: No matter how many data warehouse or data lake projects commissioned, few enterprises come close to creating a consolidated enterprise ontology.\u00a0<\/p>\n

A unified ontology is essential for today\u2019s agentic AI tools<\/a>. As organizations link and federate ontologies, a new software paradigm emerges: Agentic AI can reason and act across suppliers, regulators, customers and operations, not just within a single app.\u00a0\u00a0<\/p>\n

As Karp describes it, the aim is \u201cto tether the power of artificial intelligence to objects and relationships in the real world.\u201d <\/p>\n

World models and continuous learning<\/p>\n

Today\u2019s models can hold extensive context, but holding information isn\u2019t the same as learning from it. Continual learning requires the accumulation of understanding, rather than resets with each retraining. <\/p>\n

To this aim, Google recently announced<\/a> \u201cNested Learning\u201d as a potential solution, grounded direclty into existing LLM architecture and training data. The authors don\u2019t claim to have solved the challenges of building world models. But, Nested Learning could supply the raw ingredients for them: Durable memory with continual learning layered into the system. The endpoint would make retraining obsolete.\u00a0<\/p>\n

In June 2022, Meta’s chief AI scientist Yann LeCun created a blueprint<\/a> for \u201cautonomous machine intelligence\u201d that featured a hierarchical approach to using joint embeddings to make predictions using world models. He called the technique H-JEPA, and later put bluntly<\/a>: \u201cLLMs are good at manipulating language, but not at thinking.\u201d<\/p>\n

Over the past three years, LeCun and his colleagues at Meta have moved H-JEPA theory into practice with open source models V-JEPA and I-JEPA, which learn image and video representations of the world. <\/p>\n

The personal intelition interface\u00a0<\/p>\n

The third force in this agentic, ontology-driven world is the personal interface. This puts people at the center rather than as \u201cusers\u201d on the periphery. This is not another app; it is the primary way a person participates in the next era of work and life. Rather than treating AI as something we visit through a chat window or API cal, the personal intelition interface will be always-on, aware of our context, preferences and goals and capable of acting on our behalf across the entire federated economy. <\/p>\n

Let\u2019s analyze how this is already coming together.<\/p>\n

In May, Jony Ive sold his AI device company io to OpenAI to accelerate a new AI device category. He noted at the time<\/a>: \u201cIf you make something new, if you innovate, there will be consequences unforeseen, and some will be wonderful, and some will be harmful. While some of the less positive consequences were unintentional, I still feel responsibility. And the manifestation of that is a determination to try and be useful.\u201d That is, getting the personal intelligence device right means more than an attractive venture opportunity.\u00a0<\/p>\n

Apple is looking beyond LLMs for on-device solutions that require less processing power and result in less latency when creating AI apps to understand \u201cuser intent.\u201d Last year, they created UI-JEPA<\/a>, an innovation that moves to \u201con-device analysis\u201d of what the user wants. This strikes directly at the business model of today\u2019s digital economy, where centralized profiling of \u201cusers\u201d transforms intent and behavior data into vast revenue streams.<\/p>\n

Tim Berners-Lee, the inventor of the World Wide Web, recently noted: \u201cThe user has been reduced to a consumable product for the advertiser … there’s still time to build machines that work for humans, and not the other way around.” Moving user intent to the device will drive interest in a secure personal data management standard, Solid<\/a>, that Berners-Lee and his colleagues have been developing since 2022. The standard is ideally suited to pair with new personal AI devices. For instance, Inrupt, Inc., a company founded by Berners-Lee, recently combined Solid with Anthropic\u2019s MCP standard for Agentic Wallets<\/a>. Personal control is more than a feature of this paradigm; it is the architectural safeguard as systems gain the ability to learn and act continuously.<\/p>\n

Ultimately, these three forces are moving and converging faster than most realize. Enterprise ontologies provide the nouns and verbs, world-model research supplies durable memory and learning and the personal interface becomes the permissioned point of control. The next software era isn’t coming. It’s already here.<\/p>\n

Brian Mulconrey is SVP at Sureify Labs<\/a>. <\/p>\n

Welcome to the VentureBeat community!<\/p>\n

Our guest posting program is where technical experts share insights and provide neutral, non-vested deep dives on AI, data infrastructure, cybersecurity and other cutting-edge technologies shaping the future of enterprise.<\/p>\n

Read more<\/a> from our guest post program \u2014 and check out our guidelines<\/a> if you\u2019re interested in contributing an article of your own!<\/p>\n","protected":false},"excerpt":{"rendered":"AI is evolving faster than our vocabulary for describing it. We may need a few new words. We…\n","protected":false},"author":2,"featured_media":395819,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[256,254,255,64,63,105],"class_list":["post-395818","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-au","tag-australia","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/395818","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=395818"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/395818\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/395819"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=395818"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=395818"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=395818"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}