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🧠 second_brain
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129438
posts in
1.31
s
Understanding How GIL Affects
Checkpoint
Performance in
PyTorch
Training
shayon.dev
·
3d
·
Discuss:
Hacker News
🖤
obsidian
Correction for Richter and
Schneidman
, Building the
connectome
of a small brain with a simple stochastic developmental generative model
pnas.org
·
5d
🖤
obsidian
First
Proof
| Research-Level
Math
for AI Evaluation
1stproof.org
·
4d
·
Discuss:
Hacker News
🖤
obsidian
InfMem
: Learning System-2 Memory Control for
Long-Context
Agent
chipublib.idm.oclc.org
·
5d
🖤
obsidian
Scientists Want to Give ChatGPT an
Inner
Monologue
to Improve Its ‘Thinking’
singularityhub.com
·
4d
🗂
zettelkasten
A (
collective
)
genius
hits a target no one else can see
metafilter.com
·
4d
🖤
obsidian
Sequential Attention: Making AI models
leaner
and faster without
sacrificing
accuracy
research.google
·
6d
·
Discuss:
Hacker News
,
r/LocalLLaMA
🗂
zettelkasten
Findings
,
Jan
2026
elliotcsmith.com
·
4d
🖤
obsidian
**Abstract:**
Magnetoencephalography
(
MEG
) presents a non-invasive method for measuring brain activity, but its resolution is limited by source localization ...
freederia.com
·
4d
🖤
obsidian
Mechanistic
Interpretability:
Peeking
Inside an LLM
towardsdatascience.com
·
5d
🖤
obsidian
AI ‘thinking Budget’ Revealed In
Landmark
Study Of
Self-Reflecting
Machines
quantumzeitgeist.com
·
4d
🖤
obsidian
Writing an LLM from scratch, part
32c
– Interventions: removing
dropout
gilesthomas.com
·
4d
·
Discuss:
Hacker News
🖤
obsidian
— ### Abstract In the framework of the
AdS/CFT
correspondence, the entanglement wedge reconstruction problem—mapping quantum information on the
conform
...
freederia.com
·
4d
🖤
obsidian
The
Bonobo
Who Can
Pretend
scienceblog.com
·
4d
🖤
obsidian
Hybrid neural–cognitive models reveal how memory
shapes
human
reward
learning
nature.com
·
3d
🖤
obsidian
Crafting
the Eyes for Thinking Machines: The “White Box”
VLM
pub.towardsai.net
·
3d
🪚
woodworking
tmilovan/composite-machine
: Composite Machine: Automatic Calculus via Dimensional
Arithmetic
github.com
·
1d
·
Discuss:
Hacker News
🖤
obsidian
Escaping
Spectral Bias without
Backpropagation
: Fast Implicit Neural Representations with Extreme Learning Machines
arxiv.org
·
18h
🖤
obsidian
In (highly
contingent
!) defense of
interpretability-in-the-loop
ML training
lesswrong.com
·
4d
🪚
woodworking
Meta-Optimized Continual Adaptation for deep-sea exploration
habitat
design with
embodied
agent feedback loops
dev.to
·
3d
·
Discuss:
DEV
🖤
obsidian
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