[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-the-end-of-hallucination-how-percepta-put-a-virtual-machine-inside-an-llm-s-weights":70},{"data":4},[5,37,57,64],{"name":6,"slug":7,"categories":8},"Productivity","productivity",[9,13,17,21,25,29,33],{"id":10,"title":11,"slug":12},17,"Branding","branding",{"id":14,"title":15,"slug":16},19,"Marketing","marketing",{"id":18,"title":19,"slug":20},20,"Work","work",{"id":22,"title":23,"slug":24},34,"Community","community",{"id":26,"title":27,"slug":28},21,"For newbies","for-newbies",{"id":30,"title":31,"slug":32},24,"Investment","investment",{"id":34,"title":35,"slug":36},22,"Finance","finance",{"name":38,"slug":39,"categories":40},"Tech","tech",[41,45,49,53],{"id":42,"title":43,"slug":44},28,"Technology","technology",{"id":46,"title":47,"slug":48},32,"Artificial Intelligence","artificial-intelligence",{"id":50,"title":51,"slug":52},26,"Security and protection","security-and-protection",{"id":54,"title":55,"slug":56},31,"YouTube Blog","youtube-blog",{"name":58,"slug":59,"categories":60},"News","news",[61],{"id":62,"title":58,"slug":63},18,"quasanews",{"name":65,"slug":66,"categories":67},"Business","business",[68],{"id":69,"title":65,"slug":66},16,{"post":71,"published_news":95,"popular_news":162,"categories":233},{"title":72,"description":73,"meta_title":72,"meta_description":74,"meta_keywords":75,"text":76,"slug":77,"created_at":78,"publish_at":79,"formatted_created_at":80,"category_id":46,"links":81,"view_type":86,"video_url":87,"views":88,"likes":89,"lang":90,"comments_count":89,"category":91},"The End of Hallucination? How Percepta Put a Virtual Machine Inside an LLM’s Weights","The AI industry is witnessing a historical pivot. For years, we have accepted a fundamental flaw in Large Language Models (LLMs): they don't actually \"calculate\"—they predict. When you ask ChatGPT to solve a complex math problem, it isn't running an equation; it’s guessing the next most likely symbol.","This isn't just a minor upgrade for chatbots; it is a technically tangible bridge toward Artificial General Intelligence (AGI).","We are no longer just teaching machines to talk; we are teaching them to think in the most literal, digital sense of the word.","\u003Cp>The AI industry is witnessing a historical pivot. For years, we have accepted a fundamental flaw in Large Language Models (LLMs): they don't actually "calculate"—they predict. When you ask ChatGPT to solve a complex math problem, it isn't running an equation; it’s guessing the next most likely symbol.\u003C/p>\n\n\u003Cp>That era might be coming to an end. \u003Ca href=\"https://www.percepta.ai/blog/can-llms-be-computers\">A startup called \u003Cstrong>Percepta\u003C/strong> has released a Proof of Concept (PoC) research paper that is currently the talk of the AI community\u003C/a>. They have successfully embedded a \u003Cstrong>WebAssembly (WASM) interpreter\u003C/strong> directly into the weight matrix of a Transformer.\u003C/p>\n\n\u003Chr />\n\u003Ch3>The Fundamental Problem: Guessing vs. Computing\u003C/h3>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-16t153137939.webp\" type=\"image/webp\">\u003Cimg alt=\"The End of Hallucination? How Percepta Put a Virtual Machine Inside an LLM’s Weights\" class=\"image-align-left\" height=\"169\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-16t153137939.jpg\" width=\"300\" />\u003C/picture>Currently, models like Claude or GPT-4 treat logic like a language. Because they lack a deterministic "reasoning engine," they often hallucinate in precise tasks. The industry "fix" has been to use external crutches — forcing the AI to write Python code and execute it in an external sandbox (Code Interpreter).\u003C/p>\n\n\u003Cp>\u003Cstrong>Percepta has proven this is unnecessary.\u003C/strong> They demonstrated that a Transformer is physically capable of executing complex machine code internally with \u003Cstrong>100% accuracy\u003C/strong>.\u003C/p>\n\n\u003Chr />\n\u003Ch3>Pure Cyberpunk: 30,000 Tokens of Pure Logic\u003C/h3>\n\n\u003Cp>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-16t153157618.webp\" type=\"image/webp\">\u003Cimg alt=\"The End of Hallucination? How Percepta Put a Virtual Machine Inside an LLM’s Weights\" class=\"image-align-right\" height=\"358\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-16t153157618.jpg\" width=\"240\" />\u003C/picture>The demonstration feels like something out of a sci-fi novel. Instead of generating human-readable text, the model spits out machine code at speeds exceeding \u003Cstrong>30,000 tokens per second\u003C/strong>. The neural network isn't "writing"; it is juggling registers, memory addresses, and branches.\u003C/p>\n\n\u003Cp>To test this, the researchers fed the model one of the world’s hardest Sudoku puzzles. Instead of guessing the solution, the Transformer executed a physical \u003Cstrong>backtracking search algorithm\u003C/strong>:\u003C/p>\n\n\u003Col>\n\t\u003Cli>It inputs a digit.\u003C/li>\n\t\u003Cli>It detects a logical contradiction.\u003C/li>\n\t\u003Cli>It performs a "backtrack" to the previous state.\u003C/li>\n\t\u003Cli>It iterates until it finds the mathematically perfect answer.\u003C/li>\n\u003C/ol>\n\n\u003Cp>No hallucinations. No "vibe-based" reasoning. Just pure, deterministic logic.\u003C/p>\n\n\u003Chr />\n\u003Ch3>Breaking the "Attention Bottleneck"\u003C/h3>\n\n\u003Cp>The reason this hasn't been done before is the \u003Cstrong>Attention Bottleneck\u003C/strong>. In a standard Transformer, the model must re-read its entire generation history at every single step. For a calculation requiring a million steps, the model would run out of memory and crash instantly.\u003C/p>\n\n\u003Cp>Percepta solved this by inventing \u003Cstrong>Exponentially Fast Attention\u003C/strong>. This mechanism allows the model to search through its past data in \u003Cstrong>logarithmic time\u003C/strong>. This breakthrough allows the Transformer to run millions of computational steps in seconds without the typical performance "lag" or memory bloat.\u003C/p>\n\n\u003Chr />\n\u003Ch3>The Blueprint for AGI?\u003C/h3>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-16t153158833.webp\" type=\"image/webp\">\u003Cimg alt=\"The End of Hallucination? How Percepta Put a Virtual Machine Inside an LLM’s Weights\" class=\"image-align-left\" height=\"447\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-16t153158833.jpg\" width=\"300\" />\u003C/picture>Even \u003Cstrong>Andrej Karpathy\u003C/strong> has chimed in to express his respect for the research. The implications go far beyond building a faster calculator.\u003C/p>\n\n\u003Cp>In cognitive science, we distinguish between two types of thinking:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>System 1:\u003C/strong> Intuitive, fast, and prone to error (Current LLMs).\u003C/li>\n\t\u003Cli>\u003Cstrong>System 2:\u003C/strong> Slow, deliberate, and logically rigid (Computer code).\u003C/li>\n\u003C/ul>\n\n\u003Cp>Percepta has provided the blueprint for merging these two systems into a single "brain." If this error-free mathematical co-processor can be seamlessly integrated with linguistic models, we get an AI that:\u003C/p>\n\n\u003Col>\n\t\u003Cli>\u003Cstrong>Never hallucinates in logic.\u003C/strong>\u003C/li>\n\t\u003Cli>\u003Cstrong>Operates autonomously\u003C/strong> without needing external scripts or sandboxes.\u003C/li>\n\t\u003Cli>\u003Cstrong>Runs heavy simulations\u003C/strong> entirely within its own internal weights.\u003C/li>\n\u003C/ol>\n\n\u003Cp>This isn't just a minor upgrade for chatbots; it is a technically tangible bridge toward \u003Cstrong>Artificial General Intelligence (AGI)\u003C/strong>. We are no longer just teaching machines to talk; we are teaching them to think in the most literal, digital sense of the word.\u003C/p>\n\n\u003Chr />\n\u003Cp>\u003Cstrong>Also read:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/goldman-sachs-ai-agents-could-capture-60-of-software-industry-profits-by-2030\">Goldman Sachs: AI Agents Could Capture 60%+ of Software Industry Profits by 2030\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/google-introduces-groundsource-turning-millions-of-news-articles-into-structured-data-with-gemini\">Google Introduces Groundsource: Turning Millions of News Articles into Structured Data with Gemini\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/tencent-launches-hy-3d-studio-globally-a-game-changer-for-automated-3d-pipelines\">Tencent Launches HY 3D Studio Globally: A Game-Changer for Automated 3D Pipelines\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/otvet-gemini-deerflow-2-0-bytedance-s-new-autonomous-ai-employee-with-27k-github-stars\">Ответ Gemini DeerFlow 2.0: ByteDance’s New Autonomous AI Employee with 27K+ GitHub Stars\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Cp>\u003Cstrong>Thank you!\u003C/strong>\u003C/p>","the-end-of-hallucination-how-percepta-put-a-virtual-machine-inside-an-llm-s-weights","2026-03-16T14:33:09.000000Z","2026-03-25T06:28:00.000000Z","25.03.2026",{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},"https://cdn.quasa.io/images/news/Y3ketFreff78Y6DlQ4LuYnGb2fawjpD7s2gguRKv.jpg","https://cdn.quasa.io/images/news/Y3ketFreff78Y6DlQ4LuYnGb2fawjpD7s2gguRKv.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Y3ketFreff78Y6DlQ4LuYnGb2fawjpD7s2gguRKv.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Y3ketFreff78Y6DlQ4LuYnGb2fawjpD7s2gguRKv.webp","small",null,691,0,"en",{"id":46,"title":47,"slug":48,"meta_title":47,"meta_description":92,"meta_keywords":92,"deleted_at":87,"created_at":93,"updated_at":94,"lang":90},"Artificial Intelligence, ai, ml, machine learning, chatgpt, future","2024-09-22T08:08:27.000000Z","2024-09-23T12:49:38.000000Z",[96,110,123,136,149],{"title":97,"description":98,"slug":99,"created_at":100,"publish_at":100,"formatted_created_at":101,"category":102,"links":103,"view_type":86,"video_url":87,"views":108,"likes":89,"lang":90,"comments_count":89,"is_pinned":109},"OpenAI Claps Back Hard at Anthropic with GPT-5.4-Cyber: Real Cyber Defense for the Actual World, Not Just the Elite","OpenAI just threw a gauntlet at Anthropic.On April 14, 2026, the company launched GPT-5.4-Cyber — a specialized, cyber-permissive version of GPT-5.4 — and massively scaled its Trusted Access for Cyber (TAC) program.","openai-claps-back-hard-at-anthropic-with-gpt-5-4-cyber-real-cyber-defense-for-the-actual-world-not-just-the-elite","2026-04-17T12:30:07.000000Z","17.04.2026",{"title":47,"slug":48},{"image":104,"image_webp":105,"thumb":106,"thumb_webp":107},"https://cdn.quasa.io/images/news/bFelVXIpMp7CXVmFyQLEeWiZVfp503jaUSNFZAin.jpg","https://cdn.quasa.io/images/news/bFelVXIpMp7CXVmFyQLEeWiZVfp503jaUSNFZAin.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/bFelVXIpMp7CXVmFyQLEeWiZVfp503jaUSNFZAin.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/bFelVXIpMp7CXVmFyQLEeWiZVfp503jaUSNFZAin.webp",25,false,{"title":111,"description":112,"slug":113,"created_at":114,"publish_at":115,"formatted_created_at":101,"category":116,"links":117,"view_type":86,"video_url":87,"views":122,"likes":89,"lang":90,"comments_count":89,"is_pinned":109},"David Zaslav’s $887 Million Golden Parachute: The Real Winner of the Warner-Paramount-Skydance Mega-Merger","While the entire industry is still trying to figure out what the Warner Bros. 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Who wouldn’t want to earn a living online?","top-5-tips-to-make-more-money-as-a-content-creator","2022-01-17T17:31:51.000000Z","2026-01-17T11:30:00.000000Z","17.01.2026",{"title":19,"slug":20},{"image":213,"image_webp":214,"thumb":215,"thumb_webp":216},"https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp",41971,1,{"title":220,"description":221,"slug":222,"created_at":223,"publish_at":224,"formatted_created_at":225,"category":226,"links":227,"view_type":189,"video_url":87,"views":232,"likes":175,"lang":90,"comments_count":89,"is_pinned":109},"8 Logo Design Tips for Small Businesses","Your logo tells the story of your business and the values you stand for.","8-logo-design-tips-for-small-businesses","2021-12-04T21:59:52.000000Z","2025-05-05T03:30:00.000000Z","05.05.2025",{"title":15,"slug":16},{"image":228,"image_webp":229,"thumb":230,"thumb_webp":231},"https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp",41089,[234,235,236,237,238,239,240,241,242,243,244,245,246],{"title":23,"slug":24},{"title":47,"slug":48},{"title":55,"slug":56},{"title":43,"slug":44},{"title":51,"slug":52},{"title":31,"slug":32},{"title":35,"slug":36},{"title":27,"slug":28},{"title":19,"slug":20},{"title":15,"slug":16},{"title":58,"slug":63},{"title":11,"slug":12},{"title":65,"slug":66}]