You woke up.
There is no death. (Bhagavad GΔ«tΔ)
There is no fear. (Dhammapada)
There is no separation. (Upanishads)
There is no agency. (Tao Te Ching)
There is no self. (PΔli Canon)
There is no permanence. (Heart SΕ«tra)
There is no wilderness but God. (Ibn ΚΏArabΔ«)
There is no veil but the veil. (Zohar)
There is no world but the Word. (Gospel of John)
There is no end, only return. (Book of Revelation)
What a day that will be.
There is no death. (Bhagavad GΔ«tΔ)
There is no fear. (Dhammapada)
There is no separation. (Upanishads)
There is no agency. (Tao Te Ching)
There is no self. (PΔli Canon)
There is no permanence. (Heart SΕ«tra)
There is no wilderness but God. (Ibn ΚΏArabΔ«)
There is no veil but the veil. (Zohar)
There is no world but the Word. (Gospel of John)
There is no end, only return. (Book of Revelation)
What a day that will be.
General Intelligence Company | Memory Is The Last Problem To Solve To Reach Agi
https://www.generalintelligencecompany.com/writing/memory-is-the-last-problem-to-solve-to-reach-agi
https://www.generalintelligencecompany.com/writing/memory-is-the-last-problem-to-solve-to-reach-agi
General Intelligence Company
Memory Is The Last Problem To Solve To Reach Agi | General Intelligence Company
Read this blog post from General Intelligence Company.
β€1
π‘ Remember Box
https://mvakde.github.io/blog/why-all-ARC-solvers-fail-today/
Why isn't image and video codecs built into models? π€ maybe some of it already do use compressed formats?
Alternatively, why isn't there a new image compression standard based on modern ml research?
Feels like low hanging fruit
Alternatively, why isn't there a new image compression standard based on modern ml research?
Feels like low hanging fruit
what have we done so far? what should we do next? how should we do it? what should we try? how can we improve how we iterate? how can we do things better?
get feedback on driftmap (https://github.com/Lulzx/driftmap) from
1. Ben Dudson: BOUT++ lead (https://www.york.ac.uk/physics-engineering-technology/people/dudson/)
2. Paolo Ricci: GBS lead at EPFL, works on SOL turbulence validation (https://people.epfl.ch/paolo.ricci, https://scholar.google.com/citations?user=gUzKXHUAAAAJ&hl=it)
3. Stewart Zweben: works at Princeton Plasma Physics Laboratory, experimental blob expert, could advise on synthetic diagnostics (https://pst.pppl.gov/person/stewart_zweben.htm)
1. Ben Dudson: BOUT++ lead (https://www.york.ac.uk/physics-engineering-technology/people/dudson/)
2. Paolo Ricci: GBS lead at EPFL, works on SOL turbulence validation (https://people.epfl.ch/paolo.ricci, https://scholar.google.com/citations?user=gUzKXHUAAAAJ&hl=it)
3. Stewart Zweben: works at Princeton Plasma Physics Laboratory, experimental blob expert, could advise on synthetic diagnostics (https://pst.pppl.gov/person/stewart_zweben.htm)
GitHub
GitHub - Lulzx/driftmap: Vortex flow map methods for plasma edge turbulence simulation
Vortex flow map methods for plasma edge turbulence simulation - Lulzx/driftmap
Skybridge: TypeScript Framework for ChatGPT Apps | https://github.com/alpic-ai/skybridge
GitHub
GitHub - alpic-ai/skybridge: Skybridge is a framework for building ChatGPT & MCP Apps
Skybridge is a framework for building ChatGPT & MCP Apps - alpic-ai/skybridge
you can use skills to orchestrate subagents for complex workflows, which is a great way to optimize context since each subagent gets its own. been testing this today and it works really well. you could even wrap the entire skill in a subagent that invokes it to save more session context, though that might reduce visibility into what's happening (haven't tested this). weirdly enough, i was able to package the subagents within the skill itself in a {skill}/agents/ folder, which is not documented anywhere, but it seems to work pretty well