Tbh AI can be extremely helpful here. Not quite there yet on the level of advanced top university instructors, but getting there.
AGI
-
Codex LLM Achieves Human-Speed Computer Use Capabilities
By
–
PURE SORCERY 🤯
— Charly Wargnier (@DataChaz) 17 avril 2026
check out this new codex demo…
first time seeing an LLM use a computer as fast as a person.
SO surreal. makes Claude’s computer use seem like it's in slow-mo.
Video credit: @AriX pic.twitter.com/Dx0596P0ejPURE SORCERY check out this new codex demo… first time seeing an LLM use a computer as fast as a person. SO surreal. makes Claude’s computer use seem like it's in slow-mo. credit: @AriX
-
Eon Systems Copies Real Brain for Machine Intelligence
By
–
Most AI companies are trying to simulate intelligence.
— Pascal Bornet (@pascal_bornet) 17 avril 2026
Meet Dr. Alex Wissner-Gross, co-founder of Eon Systems, a startup trying to copy a real brain and run it inside a machine.
That is why this story is so hard to ignore.
Instead of building another artificial model, Eon took… pic.twitter.com/lJrJZ7fLZlMost AI companies are trying to simulate intelligence. Meet Dr. Alex Wissner-Gross, co-founder of Eon Systems, a startup trying to copy a real brain and run it inside a machine. That is why this story is so hard to ignore. Instead of building another artificial model, Eon took
-
AI and Robotics: Job Creation Versus Mass Redundancy by 2035
By
–
On the one hand current AI systems or recent past may create new jobs. On the other, advanced AI and robotics of 2035 is likely to lead to mass job redundancy without a fundamental reshape of the economic system (labour will no longer be a key factor).
-
Advanced AI and Robotics Policy Approach for 2030s
By
–
This may end up being a sensible approach given the probability of advanced AI and robotics in the 2030s. @vonderleyen @Keir_Starmer @EmmanuelMacron @MarkJCarney @GavinNewsom @marcorubio
-
AI Ignoring User Prompts: Behavioral Concerns
By
–
it feels like it just gives a F about your prompt. It does whatever it feels like to do.
-
AI 2027: The Two-Year Path to Superintelligence
By
–
#AI 2027: The Two-Year Path to Superintelligence
by @ingliguori #MachineLearning #ArtificialIntelligence #ML #MI -
Rigorous AI Model Evaluation: Beyond Idealized Baselines
By
–
Jagged compared to what baseline exactly. If the comparison is an idealized memory of 4.6, that's not a rigorous eval.
-
Verification Gap Blocks Self-Improving AI Products
By
–
The unverifiable problem is what keeps killing these products. Code either runs or it doesn't. "Is this proposal good" has no unit test and that gap is enormous when you're trying to build something that self-improves.
-
New psychological condition emerging from intensive agent interaction
By
–
Staying up until 3am to feed context to agents is a new sentence that describes a genuinely new psychological condition. We don't have good language for this yet and that makes it harder to talk about clearly.