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The Who's Who of AI

What credible people across AI noticed, why it matters, and where the field is converging or disagreeing.

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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
Showing signals surfaced by Gus ×
New & accelerating

What is moving across the network now

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.

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.

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 ↗
Developing Models & releases Resource 2d ago
⚡ 187 h early
Google LiteRT-LM on-device AI release

LiteRT-LM Overview  |  Google AI Edge  |  Google for Developers

3 experts across 2 network communities independently surfaced this.

3 experts 2 communities 1 sources clustered
Google Gemma Gus Evangelos Kazakos

“Access the updated Gemma 4 12B file: https://t.co/N8QOgLNc5C Quickly try Gemma using LiteRT-LM CLI: https://t.co/E4e6Quyu9D Learn more about building with LiteRT-LM: https://t.co/dmBCWFdbEB”

“🤖💎 Reachy on Wheels runs a 100% local, battery-powered robotics loop on LiteRT: Gemma 4 E4B handles voice chat + start/stop tool calls, while EmbeddingGemma 2 steers on an Arduino Ventuno Q from live camera input with zero cloud calls! https://developers.go…”

2 experts discussed this · 4 posts
Gus: 🤖💎 Reachy on Wheels runs a 100% local, battery-powered robotics loop on LiteRT: Gemma 4 E4B handles voice chat + start/stop tool calls, while EmbeddingGemma 2 steers on an Arduino Ventuno Q from li…
Evangelos Kazakos: 🤖💎 Reachy on Wheels runs a 100% local, battery-powered robotics loop on LiteRT: Gemma 4 E4B handles voice chat + start/stop tool calls, while EmbeddingGemma 2 steers on an Arduino Ventuno Q from li…
Michiel Bontenbal: Love it. I have used a lot of embedding models but did not see that it can be used for steering. :-)
Open the full discussion →
Primary source developers.google.com ↗
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.

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 Compute & infrastructure Signal 4d ago

Exploring a space-based, scalable AI infrastructure system design

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered
Gus

“Launched Oct 1 with Planet Labs, the satellite took a prompt over Svalbard, ran Gemma 4 in orbit, and downlinked the response ahead of radiation and 2027 optical-cluster tests. System design: https://research.google/blog/exploring-a-space-based-scalable-ai-…”

Primary source research.google ↗
Debates gaining attention

What experts are discussing without an anchoring article

2 experts · 2 posts · 2d ago
Gus Dare Obasanjo
Dare Obasanjo: OpenAI just poached the product lead for Claude Code. I was wondering why a Claude Code product leader would leave pre-IPO Anthropic shares on the table. The answer was pre-IPO OpenAI shares.
Gus: ok, now it makes sense!
Open the thread →
2 experts · 2 posts · 3d ago
Gus Dare Obasanjo
Dare Obasanjo: Following the departure of two engineers from the Claude Code team in October, product lead Cat Wu has also left Anthropic ahead of its IPO. The exodus from pre-IPO frontier labs this year was not …
Gus: Why would they leave? I can't understand that
Open the thread →