I've posted an essay on 'The Road to Artificial General Intelligence'. It's opinion, and it essentially just summarises a lot of things I've posted here anyway, but it puts them into a single coherent piece.
Designing machine minds requires a level of epistemological understanding. What makes good training data? What is data quality?
It's not enough to learn old philosophical books about epistemology, because those aren't in themselves the core truth of the topic. Making machine minds shows us what knowledge actually is, and what data quality actually is, in ways which weren't accessible to past philosophers. We are doing applied epistemology in AI.
Saying for example that AI slop content in the internet is going to lead to model collapse is an inherently epistemological claim, and certainly true for naive data pipelines which aren't designed with understanding.
So, I have my own ideas of epistemology which support my views and ideas on how to push the envelope in AI further. For example:
- Intelligence is competence in an open set of ridiculously transferrable cognitive skills. Nothing more, nothing less.
- Data quality relates to how the data can be utilized in training intelligent models. Hence good quality data, regardless of domain or modality, has a good coverage of high quality knowledge and traces of competent skills use.
- Natural data is not the gold standard, and neither is human-imitative data. We can refine data by different means, human or machine. Wikipedia is in itself an example of a refined data repository, refined by humans from source data of lower quality.
- High quality data can be refined from lower quality data, as long as the truth and the skills are in the data, the raw digital ore. The ore containing what we want to refine and extract can be sourced from different trial-and-error evolutionary processes, real world measurements and experiments, or by applying compute to produce new knowledge and skills from knowledge and skills already there.
It is not possible to design the next generation of machine minds without at least implicitly basing it on some epistemological insights. Doing otherwise is just struggling blindly in the dark, to only succeed by chance.
Jeff Jarvis
boosted
@jeffjarvis
Bingo! Way to go! 🤡
If we focus on speculative issues about something we don't have ( #AGI ) it looks like our unsolved problems today ( #ai #injections , #agents , #aisafety ) are actually solved. 👏
Anyone interested in research about predicability of solutions of the #travelingsalesmanproblem in context of #multidimension #timetravel ? 🤔
They keep switching the rabbits running before the dogs on the AGI track. Now the doomers are worried not about one model reaching AGI but about agents from multiple models getting superintelligent.
Distributional AGI Safety
https://arxiv.org/pdf/2512.16856
@jeffjarvis
Bingo! Way to go! 🤡
If we focus on speculative issues about something we don't have ( #AGI ) it looks like our unsolved problems today ( #ai #injections , #agents , #aisafety ) are actually solved. 👏
Anyone interested in research about predicability of solutions of the #travelingsalesmanproblem in context of #multidimension #timetravel ? 🤔
Alan Zimmerman
boosted
Remember #people..
Together we can change this future. Turn things around, and twist them right again. Just by bringing our alternative intelligence to the table.. our own #AGI:
Abundantly available our #human wit and spirit, boundless #creativitity, and above all our ability to play. It requires some #playfulness and a whiff of #scifi and #fantasy.. Just enough to #imagine different worlds, and #dreamwalk towards their 👁️realization.
https://discuss.coding.social/t/sci-fi-labs-federated-worldbuilding/95
💃🕺 Happy #cocreation in 🍒 2026 !!
Remember #people..
Together we can change this future. Turn things around, and twist them right again. Just by bringing our alternative intelligence to the table.. our own #AGI:
Abundantly available our #human wit and spirit, boundless #creativitity, and above all our ability to play. It requires some #playfulness and a whiff of #scifi and #fantasy.. Just enough to #imagine different worlds, and #dreamwalk towards their 👁️realization.
https://discuss.coding.social/t/sci-fi-labs-federated-worldbuilding/95
💃🕺 Happy #cocreation in 🍒 2026 !!
Dane 🇮🇪🇺🇦🇻🇪🖖⚛️☮️☸️🕉️
boosted
#introduction I am new here. My brother @jaforbes tells me it is customary to do an opening post of things I find interesting or likely to discuss in the future. Here is my list: #democracy #ai #eng #engineering #osint #geopol #math #mathematics #humanrights #compsci #history #philosophy #space #australia #japan #bluemountains #science #tech #anu #unsw #uts #physics #uai #agi #nafo #peace #ukraine #taiwan #photography #tdd #andor. I have friends everywhere. I hope that you'll join me.
#introduction I am new here. My brother @jaforbes tells me it is customary to do an opening post of things I find interesting or likely to discuss in the future. Here is my list: #democracy #ai #eng #engineering #osint #geopol #math #mathematics #humanrights #compsci #history #philosophy #space #australia #japan #bluemountains #science #tech #anu #unsw #uts #physics #uai #agi #nafo #peace #ukraine #taiwan #photography #tdd #andor. I have friends everywhere. I hope that you'll join me.
Either you build a good machine god or your extinct. That was their stance. And now they're doing satire here, rebranding as concerned citizens. Look at them here discussing "AI".
@timnitGebru
I thought there should be 10, not 9 apostles of #longtermism and #AGI ?
🍷✝️ 
discussing #enchurchification ⛪.
Cory Doctorow
and 1 other
boosted
I like seeing how @pluralistic is refining his anti #AI arguments over time. In this interview, I love the idea of reframing "hallucinations" as "defects", the analogy that trying to get #AGI out of #LLMs is like breeding faster horses and expecting one to give birth to a locomotive, and ridiculing the premise that "if you teach enough words to the word-guessing machine it will become God."
Das Tokioter Startup Integral #AI behauptet, das erste #AGI-fähige System gebaut zu haben – ein Modell, das allein neue Fähigkeiten lernt, Aktionen plant und echte #Roboter ohne menschliches Eingreifen trainiert.
Kann das bitte mal jemand einordnen?
Für mich klingt das so, als hätte sich der Mensch damit abgeschafft. (Ist vielleicht auch besser so.)
https://www.msn.com/de-de/finanzen/top-stories/agi-ist-gerade-realit%C3%A4t-geworden-es-ist-vollbracht/vi-AA1SociN
I've said before: even if we *could* make #AGI out of the disaster that is LLM-Chatbots, and even if we could *guarantee* that it was beneficent, it would still destroy us simply as a function of its power and water requirements.
We already have an incredible General Intelligence with untapped potential: humanity, and the social structures that let humanity work together to study and solve problems.
AGI is variously a distraction or a slavery-fantasy. There is no merit to it in current form.
Also shows how science grifters from YT are so easily bribable and fooled by big AI companies waging war on each other, while also lobbying for less regulation around AI harming children and minorities.
Most of them carry water for seriously shady NGOs, only a few disclose these ties.
It's good content after all, wait, what you mean you wanna check their sources?
I like seeing how @pluralistic is refining his anti #AI arguments over time. In this interview, I love the idea of reframing "hallucinations" as "defects", the analogy that trying to get #AGI out of #LLMs is like breeding faster horses and expecting one to give birth to a locomotive, and ridiculing the premise that "if you teach enough words to the word-guessing machine it will become God."
Konrad Hinsen
boosted
"The real danger isn’t that machines will become intelligent—it’s that we’ll mistake impressive computation for understanding and surrender our judgment to those who control the servers." Mike Brock
https://www.notesfromthecircus.com/p/why-im-betting-against-the-agi-hype
#AGI is not achievable with existing architectures.
This is a good analysis.
"The real danger isn’t that machines will become intelligent—it’s that we’ll mistake impressive computation for understanding and surrender our judgment to those who control the servers." Mike Brock
https://www.notesfromthecircus.com/p/why-im-betting-against-the-agi-hype
#AGI is not achievable with existing architectures.
This is a good analysis.