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Research & technical analysis
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Reaction converging Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights Research & technical analysis · 7 attributable reactions
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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.

Developing AI research Research 2d ago
LLMs read write neural network weights

Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights

16 experts across 6 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 7 attributable expert contributions · Mark Riedl, Ethan Mollick, Ramon Astudillo
“This is fascinating. Very large models can read the weights of small models and intuit what those models were trained to do, and make direct weight changes to improve them. rikiyat.github.io/blog/weight-...” evidence ↗
16 experts 6 communities 1 sources clustered
Mark Riedl Ted Underwood Ethan Mollick Ramon Astudillo Tim Kellogg Gus Alejandra Caraballo David Marx +8
How the network is reacting 7 experts are independently emphasizing research & technical analysis.
Reaction converging

Research & technical analysis

7 experts

Evidence, methods and technical implications.

“This is fascinating. Very large models can read the weights of small models and intuit what those models were trained to do, and make direct weight changes to improve them. rikiyat.github.io/blog/weight-...”

4 experts discussed this · 5 posts
Ethan Mollick: If this holds up, it is big: "We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math. It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x …
Antonino Greco: If this holds up, it is big: "We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math. It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x …
Thomas Dietterich: Can someone provide a plausible mechanism for this? Has GPT-6 Astra been trained on neural network weight (or activation) interpretation?
Open the full discussion →
Primary source rikiyat.github.io ↗
Developing Culture, work & education Research 1d ago
⚡ 191 h early
VLMs visual meaning recursion paper

A Heart Means Recursion: Exploring Visual Meaning and Communication in VLMs

3 experts across 3 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 2 attributable expert contributions · Gus, AI Firehose
“Dropping a simple colored icon into a VLM's context can flip its coding strategy to 100% recursive—even when 71.5% of its thinking traces claim it's ignoring the image 👀 Wild study from Google DeepMind & Stanford on implicit visual steering: https://arxiv.o…” evidence ↗
3 experts 3 communities 1 sources clustered
Gus Evangelos Kazakos AI Firehose

“Dropping a simple colored icon into a VLM's context can flip its coding strategy to 100% recursive—even when 71.5% of its thinking traces claim it's ignoring the image 👀 Wild study from Google DeepMind & Stanford on implicit visual steering: https://arxiv.o…”

“Research indicates vision-language models convey concepts with visuals but misalign with human interpretations. Simple images like hearts can greatly influence model behavior on unrelated tasks, revealing challenges in understanding AI's visual communicatio…”

Primary source arxiv.org ↗
Established AI research Development 4d ago
⚡ 13 h early
Google Project Suncatcher space compute

Meet Project Suncatcher, a research moonshot to scale machine learning compute in space.

2 directory members surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Gus
“Gemma 4 is running in Low Earth Orbit! 💎🛰️ Project Suncatcher ran the first ML inference on data-center TPUs in space: 4 TPUs in a ~1 kW solar envelope running Gemma 4 onboard and beaming a haiku to Earth: https://blog.google/innovation-and-ai/technology/re…” evidence ↗
2 experts 1 community 1 sources clustered
Marc Lanctot Gus

“Gemma 4 is running in Low Earth Orbit! 💎🛰️ Project Suncatcher ran the first ML inference on data-center TPUs in space: 4 TPUs in a ~1 kW solar envelope running Gemma 4 onboard and beaming a haiku to Earth: https://blog.google/innovation-and-ai/technology/re…”

Primary source blog.google ↗
Established NLP & language Resource 13d ago

GitHub - qnguyen3/QUAN-Transcribe: Inference code for QUAN-Transcribe: fast Vietnamese speech recognition on EmbeddingGemma 2

1 directory member surfaced this signal.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Gus
“🎙️💎 Wild what you can do with multimodal embeddings: with 3h of fine-tuning on 3,000h of Vietnamese audio, Quan Nguyen (qnguyen3) used EmbeddingGemma 2 to top 8 Vietnamese ASR benchmarks with zero autoregressive decoder! https://github.com/qnguyen3/QUAN-Tra…” evidence ↗
1 expert 1 community 1 sources clustered
Gus

“🎙️💎 Wild what you can do with multimodal embeddings: with 3h of fine-tuning on 3,000h of Vietnamese audio, Quan Nguyen (qnguyen3) used EmbeddingGemma 2 to top 8 Vietnamese ASR benchmarks with zero autoregressive decoder! https://github.com/qnguyen3/QUAN-Tra…”

Primary source github.com ↗
Debates gaining attention

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