[Paper Notes] ViserDex: Visual Sim-to-Real for Robust Dexterous In-hand Reorientation
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Reading Foucault’s Discipline and Punish through Bentham’s Panopticon: uncertain observation, self-discipline, normalization, and the limits of applying this model to workplaces, schools, and AI monitoring.
Published:
A Thousand Brains reframes intelligence as sensorimotor world-modeling carried out by many cortical modules, with consequences for neuroscience, robotics, AI, and the risks created by human belief.
Published:
The Computer and the Brain asks how slow, noisy, low-precision neurons produce fast and reliable intelligence—and why the brain’s language may differ fundamentally from mathematical notation.
Published:
Gödel, Escher, Bach explores how meaning, intelligence, and the self can emerge from formal rules through recursion, layered description, and strange loops.
Published:
David Deutsch’s philosophy of good explanations connects knowledge, fallibility, universal computation, open institutions, and the possibility of unbounded progress.
Published:
James P. Carse’s distinction between finite and infinite games offers a lens for understanding competition, identity, education, culture, technology, and the open-ended work of research and AI.
Published:
Bootstrapping is the same pattern across compilers, AI, and startups: borrow external structure to cold-start, then recursively replace dependencies until the system sustains itself.
Published:
Polanyi’s framework of tacit knowledge and personal knowing offers a lens for understanding what AI still cannot do — and why embodied, context-dependent skill remains hard to formalize.
Published:
Autonomous agents are now cheap and networked enough to spread faster than any institution can contain — the question is what order emerges after control becomes partial.
Published:
Intelligence depends on retrieval and communication as much as reasoning — a powerful model limited by information gaps is still limited.
Published:
As AI tools get more capable, the bottleneck shifts from tool friction to human cognitive bandwidth — compressing intent and steering effectively becomes the key skill.
Published:
A survey of projects that compress human personas into AI agent skills — from departed colleagues to public figures — and what this trend reveals about AI, memory, and identity.
Published:
Autonomous agents are now cheap and networked enough to spread faster than any institution can contain — the question is what order emerges after control becomes partial.
Published:
Intelligence depends on retrieval and communication as much as reasoning — a powerful model limited by information gaps is still limited.
Published:
As AI tools get more capable, the bottleneck shifts from tool friction to human cognitive bandwidth — compressing intent and steering effectively becomes the key skill.
Published:
A survey of projects that compress human personas into AI agent skills — from departed colleagues to public figures — and what this trend reveals about AI, memory, and identity.
Published:
Published:
Published:
Published:
A late-night conversation over grilled skewers revealed a gap: most embodied AI researchers don’t think about what the robot arm is actually doing at the control level — and closing that gap might reshape how we think about action spaces.
Published:
Published:
A small Rust pushing task exposed a large gap: 82% success inside a learned model, 0% in the simulator. Notes on rollout error, cold-start RL, and a strong imitation baseline.
Published:
Published:
Published:
Published:
Published:
Reading Foucault’s Discipline and Punish through Bentham’s Panopticon: uncertain observation, self-discipline, normalization, and the limits of applying this model to workplaces, schools, and AI monitoring.
Published:
A Thousand Brains reframes intelligence as sensorimotor world-modeling carried out by many cortical modules, with consequences for neuroscience, robotics, AI, and the risks created by human belief.
Published:
The Computer and the Brain asks how slow, noisy, low-precision neurons produce fast and reliable intelligence—and why the brain’s language may differ fundamentally from mathematical notation.
Published:
Gödel, Escher, Bach explores how meaning, intelligence, and the self can emerge from formal rules through recursion, layered description, and strange loops.
Published:
David Deutsch’s philosophy of good explanations connects knowledge, fallibility, universal computation, open institutions, and the possibility of unbounded progress.
Published:
James P. Carse’s distinction between finite and infinite games offers a lens for understanding competition, identity, education, culture, technology, and the open-ended work of research and AI.
Published:
Polanyi’s framework of tacit knowledge and personal knowing offers a lens for understanding what AI still cannot do — and why embodied, context-dependent skill remains hard to formalize.
Published:
Bootstrapping is the same pattern across compilers, AI, and startups: borrow external structure to cold-start, then recursively replace dependencies until the system sustains itself.
Published:
A policy command is only a request; system identification is what lets simulation learn how a dexterous hand actually responds.
Published:
A policy command is only a request; system identification is what lets simulation learn how a dexterous hand actually responds.
Published:
Published:
A survey of projects that compress human personas into AI agent skills — from departed colleagues to public figures — and what this trend reveals about AI, memory, and identity.
Published:
Published:
Published:
I built a scripting-first OS prototype in a weekend with Codex, where the system language gradually takes over its own environment from the host.
Published:
As AI tools get more capable, the bottleneck shifts from tool friction to human cognitive bandwidth — compressing intent and steering effectively becomes the key skill.
Published:
A Thousand Brains reframes intelligence as sensorimotor world-modeling carried out by many cortical modules, with consequences for neuroscience, robotics, AI, and the risks created by human belief.
Published:
The Computer and the Brain asks how slow, noisy, low-precision neurons produce fast and reliable intelligence—and why the brain’s language may differ fundamentally from mathematical notation.
Published:
Gödel, Escher, Bach explores how meaning, intelligence, and the self can emerge from formal rules through recursion, layered description, and strange loops.
Published:
Intelligence depends on retrieval and communication as much as reasoning — a powerful model limited by information gaps is still limited.
Published:
The Computer and the Brain asks how slow, noisy, low-precision neurons produce fast and reliable intelligence—and why the brain’s language may differ fundamentally from mathematical notation.
Published:
Gödel, Escher, Bach explores how meaning, intelligence, and the self can emerge from formal rules through recursion, layered description, and strange loops.
Published:
Published:
Published:
The hardest part of teleoperation is aligning coordinate frames between input devices and robot end effectors — a practical walkthrough.
Published:
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A policy command is only a request; system identification is what lets simulation learn how a dexterous hand actually responds.
Published:
Published:
Published:
Published:
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TwinDEX co-designs a wearable exoskeleton and a matching robotic hand so that robot-free demonstrations preserve kinematics, contact, appearance, sensing, and timing at deployment.
Published:
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A survey of projects that compress human personas into AI agent skills — from departed colleagues to public figures — and what this trend reveals about AI, memory, and identity.
Published:
Published:
Autonomous agents are now cheap and networked enough to spread faster than any institution can contain — the question is what order emerges after control becomes partial.
Published:
A bilingual framework for comparing VLA, world-action, and native sensorimotor models—with an interactive map of training stages and the human-to-robot data continuum.
Published:
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Published:
Published:
Published:
Published:
Published:
Published:
Published:
A policy command is only a request; system identification is what lets simulation learn how a dexterous hand actually responds.
Published:
A bilingual framework for comparing VLA, world-action, and native sensorimotor models—with an interactive map of training stages and the human-to-robot data continuum.
Published:
A reflective essay on latent actions, world models, KV-cache memory, and why robotics may still be before its GPT-3.5 moment.
Published:
A late-night conversation over grilled skewers revealed a gap: most embodied AI researchers don’t think about what the robot arm is actually doing at the control level — and closing that gap might reshape how we think about action spaces.
Published:
Published:
The hardest part of teleoperation is aligning coordinate frames between input devices and robot end effectors — a practical walkthrough.
Published:
Published:
A compact field note on how Megatron, Hugging Face, PyTorch, vLLM, SGLang, and verl fit together in a practical LLM training pipeline.
Published:
Bootstrapping is the same pattern across compilers, AI, and startups: borrow external structure to cold-start, then recursively replace dependencies until the system sustains itself.
Published:
Polanyi’s framework of tacit knowledge and personal knowing offers a lens for understanding what AI still cannot do — and why embodied, context-dependent skill remains hard to formalize.
Published:
Published:
Published:
Published:
A late-night conversation over grilled skewers revealed a gap: most embodied AI researchers don’t think about what the robot arm is actually doing at the control level — and closing that gap might reshape how we think about action spaces.
Published:
James P. Carse’s distinction between finite and infinite games offers a lens for understanding competition, identity, education, culture, technology, and the open-ended work of research and AI.
Published:
Published:
Published:
Published:
Published:
Published:
Published:
A compact field note on how Megatron, Hugging Face, PyTorch, vLLM, SGLang, and verl fit together in a practical LLM training pipeline.
Published:
Published:
Published:
Published:
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Published:
TwinDEX co-designs a wearable exoskeleton and a matching robotic hand so that robot-free demonstrations preserve kinematics, contact, appearance, sensing, and timing at deployment.
Published:
Published:
Published:
Published:
Published:
Published:
A late-night conversation over grilled skewers revealed a gap: most embodied AI researchers don’t think about what the robot arm is actually doing at the control level — and closing that gap might reshape how we think about action spaces.
Published:
Published:
Intelligence depends on retrieval and communication as much as reasoning — a powerful model limited by information gaps is still limited.
Published:
Reading Foucault’s Discipline and Punish through Bentham’s Panopticon: uncertain observation, self-discipline, normalization, and the limits of applying this model to workplaces, schools, and AI monitoring.
Published:
Intelligence depends on retrieval and communication as much as reasoning — a powerful model limited by information gaps is still limited.
Published:
Autonomous agents are now cheap and networked enough to spread faster than any institution can contain — the question is what order emerges after control becomes partial.
Published:
The hardest part of teleoperation is aligning coordinate frames between input devices and robot end effectors — a practical walkthrough.
Published:
A practical guide to formulating IK as weighted nonlinear least-squares, with task definition, damping, and solver design that works for any URDF.
Published:
A reflective essay on latent actions, world models, KV-cache memory, and why robotics may still be before its GPT-3.5 moment.
Published:
Published:
David Deutsch’s philosophy of good explanations connects knowledge, fallibility, universal computation, open institutions, and the possibility of unbounded progress.
Published:
Published:
Published:
A compact field note on how Megatron, Hugging Face, PyTorch, vLLM, SGLang, and verl fit together in a practical LLM training pipeline.
Published:
Published:
Published:
A reflective essay on latent actions, world models, KV-cache memory, and why robotics may still be before its GPT-3.5 moment.
Published:
Published:
Published:
Published:
Published:
Published:
Gödel, Escher, Bach explores how meaning, intelligence, and the self can emerge from formal rules through recursion, layered description, and strange loops.
Published:
A compact field note on how Megatron, Hugging Face, PyTorch, vLLM, SGLang, and verl fit together in a practical LLM training pipeline.
Published:
A reflective essay on latent actions, world models, KV-cache memory, and why robotics may still be before its GPT-3.5 moment.
Published:
Published:
A small Rust pushing task exposed a large gap: 82% success inside a learned model, 0% in the simulator. Notes on rollout error, cold-start RL, and a strong imitation baseline.
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Gödel, Escher, Bach explores how meaning, intelligence, and the self can emerge from formal rules through recursion, layered description, and strange loops.
Published:
A Thousand Brains reframes intelligence as sensorimotor world-modeling carried out by many cortical modules, with consequences for neuroscience, robotics, AI, and the risks created by human belief.
Published:
The Computer and the Brain asks how slow, noisy, low-precision neurons produce fast and reliable intelligence—and why the brain’s language may differ fundamentally from mathematical notation.
Published:
Published:
Published:
Bootstrapping is the same pattern across compilers, AI, and startups: borrow external structure to cold-start, then recursively replace dependencies until the system sustains itself.
Published:
I built a scripting-first OS prototype in a weekend with Codex, where the system language gradually takes over its own environment from the host.
Published:
A practical guide to formulating IK as weighted nonlinear least-squares, with task definition, damping, and solver design that works for any URDF.
Published:
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Published:
A survey of projects that compress human personas into AI agent skills — from departed colleagues to public figures — and what this trend reveals about AI, memory, and identity.
Published:
A policy command is only a request; system identification is what lets simulation learn how a dexterous hand actually responds.
Published:
A reflective essay on latent actions, world models, KV-cache memory, and why robotics may still be before its GPT-3.5 moment.
Published:
A late-night conversation over grilled skewers revealed a gap: most embodied AI researchers don’t think about what the robot arm is actually doing at the control level — and closing that gap might reshape how we think about action spaces.
Published:
Autonomous agents are now cheap and networked enough to spread faster than any institution can contain — the question is what order emerges after control becomes partial.
Published:
Intelligence depends on retrieval and communication as much as reasoning — a powerful model limited by information gaps is still limited.
Published:
As AI tools get more capable, the bottleneck shifts from tool friction to human cognitive bandwidth — compressing intent and steering effectively becomes the key skill.
Published:
Reading Foucault’s Discipline and Punish through Bentham’s Panopticon: uncertain observation, self-discipline, normalization, and the limits of applying this model to workplaces, schools, and AI monitoring.
Published:
A Thousand Brains reframes intelligence as sensorimotor world-modeling carried out by many cortical modules, with consequences for neuroscience, robotics, AI, and the risks created by human belief.
Published:
The Computer and the Brain asks how slow, noisy, low-precision neurons produce fast and reliable intelligence—and why the brain’s language may differ fundamentally from mathematical notation.
Published:
Gödel, Escher, Bach explores how meaning, intelligence, and the self can emerge from formal rules through recursion, layered description, and strange loops.
Published:
David Deutsch’s philosophy of good explanations connects knowledge, fallibility, universal computation, open institutions, and the possibility of unbounded progress.
Published:
James P. Carse’s distinction between finite and infinite games offers a lens for understanding competition, identity, education, culture, technology, and the open-ended work of research and AI.
Published:
Polanyi’s framework of tacit knowledge and personal knowing offers a lens for understanding what AI still cannot do — and why embodied, context-dependent skill remains hard to formalize.
Published:
Published:
A practical guide to formulating IK as weighted nonlinear least-squares, with task definition, damping, and solver design that works for any URDF.
Published:
Published:
Published:
Reading Foucault’s Discipline and Punish through Bentham’s Panopticon: uncertain observation, self-discipline, normalization, and the limits of applying this model to workplaces, schools, and AI monitoring.
Published:
Published:
As AI tools get more capable, the bottleneck shifts from tool friction to human cognitive bandwidth — compressing intent and steering effectively becomes the key skill.
Published:
I built a scripting-first OS prototype in a weekend with Codex, where the system language gradually takes over its own environment from the host.
Published:
David Deutsch’s philosophy of good explanations connects knowledge, fallibility, universal computation, open institutions, and the possibility of unbounded progress.
Published:
A small Rust pushing task exposed a large gap: 82% success inside a learned model, 0% in the simulator. Notes on rollout error, cold-start RL, and a strong imitation baseline.
Published:
TwinDEX co-designs a wearable exoskeleton and a matching robotic hand so that robot-free demonstrations preserve kinematics, contact, appearance, sensing, and timing at deployment.
Published:
Published:
Published:
Published:
I built a scripting-first OS prototype in a weekend with Codex, where the system language gradually takes over its own environment from the host.
Published:
Published:
A compact field note on how Megatron, Hugging Face, PyTorch, vLLM, SGLang, and verl fit together in a practical LLM training pipeline.
Published:
Published:
Published:
Published:
A small Rust pushing task exposed a large gap: 82% success inside a learned model, 0% in the simulator. Notes on rollout error, cold-start RL, and a strong imitation baseline.
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
A compact field note on how Megatron, Hugging Face, PyTorch, vLLM, SGLang, and verl fit together in a practical LLM training pipeline.
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
David Deutsch’s philosophy of good explanations connects knowledge, fallibility, universal computation, open institutions, and the possibility of unbounded progress.
Published:
James P. Carse’s distinction between finite and infinite games offers a lens for understanding competition, identity, education, culture, technology, and the open-ended work of research and AI.
Published:
Published:
A policy command is only a request; system identification is what lets simulation learn how a dexterous hand actually responds.
Published:
Published:
A bilingual framework for comparing VLA, world-action, and native sensorimotor models—with an interactive map of training stages and the human-to-robot data continuum.
Published:
TwinDEX co-designs a wearable exoskeleton and a matching robotic hand so that robot-free demonstrations preserve kinematics, contact, appearance, sensing, and timing at deployment.
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
A reflective essay on latent actions, world models, KV-cache memory, and why robotics may still be before its GPT-3.5 moment.
Published:
Published:
Published:
TwinDEX co-designs a wearable exoskeleton and a matching robotic hand so that robot-free demonstrations preserve kinematics, contact, appearance, sensing, and timing at deployment.
Published:
Published:
A small Rust pushing task exposed a large gap: 82% success inside a learned model, 0% in the simulator. Notes on rollout error, cold-start RL, and a strong imitation baseline.
Published:
A Thousand Brains reframes intelligence as sensorimotor world-modeling carried out by many cortical modules, with consequences for neuroscience, robotics, AI, and the risks created by human belief.
Published:
The Computer and the Brain asks how slow, noisy, low-precision neurons produce fast and reliable intelligence—and why the brain’s language may differ fundamentally from mathematical notation.
Published:
Published:
Published:
Published:
A late-night conversation over grilled skewers revealed a gap: most embodied AI researchers don’t think about what the robot arm is actually doing at the control level — and closing that gap might reshape how we think about action spaces.
Published:
Published:
Polanyi’s framework of tacit knowledge and personal knowing offers a lens for understanding what AI still cannot do — and why embodied, context-dependent skill remains hard to formalize.
Published:
Published:
Published:
Published:
Published:
The hardest part of teleoperation is aligning coordinate frames between input devices and robot end effectors — a practical walkthrough.
Published:
A practical guide to formulating IK as weighted nonlinear least-squares, with task definition, damping, and solver design that works for any URDF.
Published:
Published:
Published:
Published:
Published:
I built a scripting-first OS prototype in a weekend with Codex, where the system language gradually takes over its own environment from the host.
Published:
A small Rust pushing task exposed a large gap: 82% success inside a learned model, 0% in the simulator. Notes on rollout error, cold-start RL, and a strong imitation baseline.
Published:
A compact field note on how Megatron, Hugging Face, PyTorch, vLLM, SGLang, and verl fit together in a practical LLM training pipeline.
Published:
Published:
David Deutsch’s philosophy of good explanations connects knowledge, fallibility, universal computation, open institutions, and the possibility of unbounded progress.
Published:
Bootstrapping is the same pattern across compilers, AI, and startups: borrow external structure to cold-start, then recursively replace dependencies until the system sustains itself.
Published:
Published:
A policy command is only a request; system identification is what lets simulation learn how a dexterous hand actually responds.
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
James P. Carse’s distinction between finite and infinite games offers a lens for understanding competition, identity, education, culture, technology, and the open-ended work of research and AI.
Published:
Reading Foucault’s Discipline and Punish through Bentham’s Panopticon: uncertain observation, self-discipline, normalization, and the limits of applying this model to workplaces, schools, and AI monitoring.
Published:
Published:
A policy command is only a request; system identification is what lets simulation learn how a dexterous hand actually responds.
Published:
Published:
Published:
Polanyi’s framework of tacit knowledge and personal knowing offers a lens for understanding what AI still cannot do — and why embodied, context-dependent skill remains hard to formalize.
Published:
Published:
Published:
TwinDEX co-designs a wearable exoskeleton and a matching robotic hand so that robot-free demonstrations preserve kinematics, contact, appearance, sensing, and timing at deployment.
Published:
Published:
Published:
Published:
The hardest part of teleoperation is aligning coordinate frames between input devices and robot end effectors — a practical walkthrough.
Published:
A practical guide to formulating IK as weighted nonlinear least-squares, with task definition, damping, and solver design that works for any URDF.
Published:
Published:
The hardest part of teleoperation is aligning coordinate frames between input devices and robot end effectors — a practical walkthrough.
Published:
A bilingual framework for comparing VLA, world-action, and native sensorimotor models—with an interactive map of training stages and the human-to-robot data continuum.
Published:
Published:
A practical guide to formulating IK as weighted nonlinear least-squares, with task definition, damping, and solver design that works for any URDF.
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
A bilingual framework for comparing VLA, world-action, and native sensorimotor models—with an interactive map of training stages and the human-to-robot data continuum.
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
Published:
A small Rust pushing task exposed a large gap: 82% success inside a learned model, 0% in the simulator. Notes on rollout error, cold-start RL, and a strong imitation baseline.
Published:
A bilingual framework for comparing VLA, world-action, and native sensorimotor models—with an interactive map of training stages and the human-to-robot data continuum.
Published:
Published:
A reflective essay on latent actions, world models, KV-cache memory, and why robotics may still be before its GPT-3.5 moment.
Published:
Published:
Published:
A major site update done mostly by Codex — page refactoring, content restructuring, and bilingual support.
Published:
A compact field note on how Megatron, Hugging Face, PyTorch, vLLM, SGLang, and verl fit together in a practical LLM training pipeline.
Published:
A major site update done mostly by Codex — page refactoring, content restructuring, and bilingual support.