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Showing developments with attributable Research & technical analysis reactions.

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Research & technical analysis
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Shared emphasis Neural Networks Are Already Clean Research & technical analysis · 2 attributable reactions
Showing signals surfaced by Shahab Bakhtiari ×
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The developments commanding sustained expert attention

One card per development. Sources are clustered; reaction bundles describe these posts, never the people behind them.

Established AI research Analysis 5d ago
⚡ 3 h early
neural networks already clean essay

Neural Networks Are Already Clean

11 experts across 6 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 2 attributable expert contributions · Tim Kellogg, Shahab Bakhtiari
“Goodfire: interpretability may be solved soon A new discovery shows that LLMs are directly interpretable without first “untying” them already-clean.goodfire.com” evidence ↗
11 experts 6 communities 1 sources clustered
Maria Antoniak Ted Underwood Will Oremus Ramon Astudillo Suresh Venkatasubramanian Tim Kellogg Shahab Bakhtiari Ryan Moulton +3
How the network is reacting 2 experts are emphasizing research & technical analysis.
Shared emphasis

Research & technical analysis

2 experts

Evidence, methods and technical implications.

“Quite a claim in this new work from Goodfire. Among many points, they argue that some of the main examples of superposition and polysemanticity in large models were misunderstood. This definitely deserves some deep, rigorous peer review. already-clean.goodf…”

4 experts discussed this · 14 posts
Ryan Moulton: Haven't read this yet, but I'm posting it because it seems important and I want to. already-clean.goodfire.com
Ryan Moulton: Claim, as they say.
Ryan Moulton: @norvid-studies.bsky.social some sparkling fresh juicy claims for you.
Open the full discussion →
Primary source already-clean.goodfire.com ↗
Established AI research Research 8d ago
⚡ 802 h early
Borges and AI literary analysis paper

Borges and AI

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · René Walter
“Borges' Garden of Forking Paths in collective story synthesis. See also, Borges and AI arxiv.org/abs/2310.01425” evidence ↗
2 experts 2 communities 1 sources clustered
Shahab Bakhtiari René Walter

“Borges' Garden of Forking Paths in collective story synthesis. See also, Borges and AI arxiv.org/abs/2310.01425”

Primary source arxiv.org ↗
Established Culture, work & education Research 16d ago
human machine vision gap NeurIPS paper

Partial success in closing the gap between human and machine vision

1 directory member surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Shahab Bakhtiari
“I think the evidence is growing and gaps are closing; this is from a few years ago: proceedings.neurips.cc/paper_files/..., and things've been improving since then. Of course, there are skeptics ...” evidence ↗
1 expert 1 community 1 sources clustered
Shahab Bakhtiari

“I think the evidence is growing and gaps are closing; this is from a few years ago: proceedings.neurips.cc/paper_files/..., and things've been improving since then. Of course, there are skeptics ...”

Primary source proceedings.neurips.cc ↗
Established AI research Research 18d ago
seq-JEPA world models NeurIPS paper

seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models

1 directory member surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Shahab Bakhtiari
“I’m thinking even beyond image labeling—more in the realm of recent self-supervised learning methods (e.g., what we proposed here: proceedings.neurips.cc/paper_files/...). There’s really cool work bringing these concepts into visual neuroscience (we and oth…” evidence ↗
1 expert 1 community 1 sources clustered
Shahab Bakhtiari

“I’m thinking even beyond image labeling—more in the realm of recent self-supervised learning methods (e.g., what we proposed here: proceedings.neurips.cc/paper_files/...). There’s really cool work bringing these concepts into visual neuroscience (we and oth…”

Primary source proceedings.neurips.cc ↗