Dion DeLoof @ddeloof

We are at a pivotal moment in the future of AI. Our approach at Applied General Intelligence (AGI) has always been to validate our claims internally and only then speak. We no longer believe we have that luxury given the news over the past week. A few months ago, we hit a major breakthrough in our approach. For the past 5 years we’ve worked in stealth on a novel approach that goes beyond LLMs. We call this new approach a Coherence Maintenance System, or CMX. We’ve named our prototype system “Arx.” The breakthrough we achieved came by applying our abstraction of the full system to solve hallucinations while using LLMs for certain sub-tasks. Applying CMX directly at the problem of solving hallucinations in general intelligence systems was phase 1 in our roadmap. Phase 2 is developing the full system without using LLMs for any sub-task. While costs have been a huge problem with LLMs, it was not the true defect in the approach. Hallucinations prevent full scale adoption of AI because outputs can’t be trusted Hallucinations will always plague LLMs because they’re inherent to their architecture As we were building our Coherence Maintenance System, Arx, our north star was coherence. An intelligent system with coherence at its core will not guess. This presented a challenge we solved by doing two things. First, deconstructing and fully understanding language. Linguistics is the core of our foundation. With that we built our language comprehension engine, grounded in our knowledge base. As we begin to onboard early users, they will be able to see exactly how Arx chunks and parses every query. Second, Arx learned how to read so it could then read to learn. This is the same developmental process every human goes through. It’s why reading is the first thing any child must do before they can learn other subjects in school. While this sounds simple, the technological challenge here is extreme. That is why companies have instead resorted to building LLMs, a convenient statistical approximation of language understanding with all its pros and cons: you live by statistics and you die by statistics. Arx is fundamentally different – a true breakthrough beyond LLMs.. What’s more is that our approach is by its very design computationally efficient. Our current cost per query is $.0025. Cheaper than even the DeepSeek models that have recently come out. Earlier this year we submitted a small abstraction of our model to Tiger Lab at the MMLU Pro. We told investors and experts before we ever submitted that we would score the highest of any company on that benchmark. They ran and validated our result where we scored 82.9%. This was before the major improvements we’ve made in the past weeks. We were on the top of the leaderboard for a number of weeks but ultimately we were removed because we are not an LLM. We agree that we are not and we also believe that LLMs are not the path to achieving AGI. So while we were disappointed that they could not understand this novel approach we’ve taken, this is not new to us. In August we raised our seed round. We are sharing our pitch deck we used for the round and you will see that we were already calling for an approach Beyond LLMs. Many investors struggled to believe that there was another path forward. But this round was closed in 2 weeks as many investors immediately understood the approach we were taking and why it would lead to the world’s most efficient, coherent, and reliable intelligence system. At Applied General Intelligence we believe that winning the AI race is a matter of national interest and it’s one that we are positioned to win. Not because we need hundreds of billions of dollars to do it but because we’ve taken a novel approach that solves the two biggest problems in AI. Cost and Hallucinations. We have purposefully kept our research and IP out of the public domain. Seeing what has happened over the past week has validated our approach. We know there will be lots of questions and doubts. That has been the reality for the past 5 years in building this company. We said that the world needed to go Beyond LLMs and many are acknowledging that reality now. We will deliver a giant leap forward that surpasses all the LLMs. First, we will help solve their hallucinations with our abstraction. Next, we will make our full model available to take the world from LLMs to CMX and beyond. Link to our Seed Deck from 2024 here: docsend.com/view/zzv6yyt5j…

@kbonatz Outstanding work.

We are at a pivotal moment in the future of AI. Our approach at Applied General Intelligence (AGI) has always been to validate our claims internally and only then speak. We no longer believe we have that luxury given the news over the past week. A few months ago, we hit a major breakthrough in our approach. For the past 5 years we’ve worked in stealth on a novel approach that goes beyond LLMs. We call this new approach a Coherence Maintenance System, or CMX. We’ve named our prototype system “Arx.” The breakthrough we achieved came by applying our abstraction of the full system to solve hallucinations while using LLMs for certain sub-tasks. Applying CMX directly at the problem of solving hallucinations in general intelligence systems was phase 1 in our roadmap. Phase 2 is developing the full system without using LLMs for any sub-task. While costs have been a huge problem with LLMs, it was not the true defect in the approach. Hallucinations prevent full scale adoption of AI because outputs can’t be trusted Hallucinations will always plague LLMs because they’re inherent to their architecture As we were building our Coherence Maintenance System, Arx, our north star was coherence. An intelligent system with coherence at its core will not guess. This presented a challenge we solved by doing two things. First, deconstructing and fully understanding language. Linguistics is the core of our foundation. With that we built our language comprehension engine, grounded in our knowledge base. As we begin to onboard early users, they will be able to see exactly how Arx chunks and parses every query. Second, Arx learned how to read so it could then read to learn. This is the same developmental process every human goes through. It’s why reading is the first thing any child must do before they can learn other subjects in school. While this sounds simple, the technological challenge here is extreme. That is why companies have instead resorted to building LLMs, a convenient statistical approximation of language understanding with all its pros and cons: you live by statistics and you die by statistics. Arx is fundamentally different – a true breakthrough beyond LLMs.. What’s more is that our approach is by its very design computationally efficient. Our current cost per query is $.0025. Cheaper than even the DeepSeek models that have recently come out. Earlier this year we submitted a small abstraction of our model to Tiger Lab at the MMLU Pro. We told investors and experts before we ever submitted that we would score the highest of any company on that benchmark. They ran and validated our result where we scored 82.9%. This was before the major improvements we’ve made in the past few months. We were on the top of the leaderboard for a number of weeks but ultimately we were removed because we are not an LLM. We agree that we are not and we also believe that LLMs are not the path to achieving AGI. So while we were disappointed that they could not understand this novel approach we’ve taken, this is not new to us. In August we raised our seed round. We are sharing our pitch deck we used for the round and you will see that we were already calling for an approach Beyond LLMs. Many investors struggled to believe that there was another path forward. But this round was closed in 2 weeks as many investors immediately understood the approach we were taking and why it would lead to the world’s most efficient, coherent, and reliable intelligence system. At Applied General Intelligence we believe that winning the AI race is a matter of national interest and it’s one that we are positioned to win. Not because we need hundreds of billions of dollars to do it but because we’ve taken a novel approach that solves the two biggest problems in AI. Cost and Hallucinations. We have purposefully kept our research and IP out of the public domain. Seeing what has happened over the past week has validated our approach. We know there will be lots of questions and doubts. That has been the reality for the past 5 years in building this company. We said that the world needed to go Beyond LLMs and many are acknowledging that reality now. We will deliver a giant leap forward that surpasses all the LLMs. First, we will help solve their hallucinations with our abstraction. Next, we will make our full model available to take the world from LLMs to CMX and beyond. Link to our Seed Deck from 2024 here: docsend.com/view/zzv6yyt5j…

Excited to have Nik Schrobenhauser on the AI8 team 🚀 prnewswire.com/news-releases/…

A Treatment for Henry gofund.me/0b1ed6ca

"To make a show right, you have all these different pieces. You can have the best cameraman, the best director, the best editor--but if the sound is off, that one department can take you down." Read more of how SnapNurse became No. 1 in #Healthcare -> inc.com/magazine/20220…

Senator Lana Theis accused me by name of grooming and sexualizing children in an attempt to marginalize me for standing up against her marginalizing the LGBTQ community...in a fundraising email, for herself. Hate wins when people like me stand by and let it happen. I won't.

Excited to partner with Nina, Jussi and the entire X0PA team! #ai8ventures #Iccpsbiventures #xcelnestventures #enterpriseireland #impactinvesting

X0PA AI @X0PAAI

5 years ago

X0PA AI secures $4.2M in Series A funding. Dion DeLoof, Co-Founder and General Partner at AI8 Ventures shares his thoughts as he joins X0PA AI’s board. Read our whole announcement on x0pa.com/x0pa-ai-raises…!

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Excited to partner Nina and the team at X0PA. @AI8Ventures x0pa.com/x0pa-ai-raises…

Congratulations Inigo, Edrizio, and you entire team! Wonderful journey partnering with you. #arcusfi #impact #mastercard #ai8ventures linkedin.com/posts/diondelo…

Congratulations to Lenox Park. ai-cio.com/news/calpers-t… @lenoxparksolutions @AI8Ventures

@Allbirds @Shopify Congrats Tim and team!!

It’s overdue. Regardless of political party affiliation in modern times a popular vote makes sense. apple.news/A5B1Kk6quQ6yaG…

Spot on. #authenticleadership apple.news/AsN5nr10HQWCge…

Mexico’s only neobank for small businesses is using Arcus’ fintech-as-a-service platform to provide additional payment and financial data solutions to customers arcusfi.com/oyster-partner…

MPower Financing We’re a social benefit corporation founded by international students for international students, and we’re on a mission to make socioeconomic mobility borderless. #Venturecapital #founders #alphaimpact8 #investment #privateequity vimeo.com/436987219

This is spot on.

Carlos Ochoa @CarlosOchoaVC

6 years ago

Thanks to the existence of the Cloud, the speed of connection, and Moore's Law, some technology companies manage to generate exponential growth charts and have set the standard for new. alphaimpact8.com/principles-whi…

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@CarlosOchoaVC Spot on

Wear a mask.❤️😷 🇺🇸 328M People 4.46M cases 150K deaths 🇯🇵 125M People 33K cases. 1K deaths 🇻🇳 96M People 450 cases 0 deaths 🇯🇵 Japan and 🇻🇳 Vietnam have 100% mask compliance & strict contact tracing.

HIGHLIGHTS INVESTMENTS AND PIVOTS DURING PANDEMIC: EDUTECH JULY 8TH Jul 8, 2020 @ddeloof discusses highlights Investments and Pivots during Pandemic: EduTech alphaimpact8.com/news/xujg9joha… #startups #investmentportfolio #venturecapital #alphaimpact8 #innovating #pivoting #pandemic