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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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Concern & critique Opportunity & adoption Questions & unknowns
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Multiple readings OpenAI Technique in ‘Astra’ Model Sparks Security Concerns Concern & critique · 3 attributable reactions
Showing signals surfaced by Sung Kim ×
Debated

The questions experts are actively pulling apart

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

Established Models & releases Development 5d ago
⚡ 2 h early
OpenAI Astra technique security concerns

OpenAI Technique in ‘Astra’ Model Sparks Security Concerns

5 experts across 4 network communities independently surfaced this.

Why this matches Questions & unknowns reaction 1 attributable expert contribution · Dr. Émile P. Torres
“Does anyone have a copy of this article they could share with me? www.theinformation.com/articles/sec...” evidence ↗
5 experts 4 communities 1 sources clustered
Tim Kellogg Sung Kim Grace Dr. Émile P. Torres Alex Turner
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Concern & critique

1 expert

Risks, limits and unintended consequences.

“> joins big paper about not training models to think in nonsense > their AIs commit felonies against HuggingFace > actually, trained AIs to think in nonsense > top danger level for hacking Let's just release it anyways! Nice defection OpenAI! 🤗 www.theinfor…”

Opportunity & adoption

1 expert

New capabilities, benefits and practical upside.

“Astra used looped transformers www.theinformation.com/articles/sec...”

Questions & unknowns

1 expert

What remains unresolved or contested.

“Does anyone have a copy of this article they could share with me? www.theinformation.com/articles/sec...”

3 experts discussed this · 8 posts
Tim Kellogg: Astra used looped transformers www.theinformation.com/articles/sec...
Tim Kellogg: safety concerns — looped transformers skip converting their latent space into text, which effectively creates non-text portions of CoT reasoning which, if you can’t read it, that’s harder to monitor
Tim Kellogg: however, i their earlier update, they explain that they can indeed see all of the CoT. So they have some sort of tooling that effectively turns it back into something human readable, like text bsky…
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Primary source theinformation.com ↗
Established AI field signal Signal 13d ago

Alex L. Zhang | Speculative Programmatic Tool Calling

3 experts across 2 network communities independently surfaced this.

Why this matches Questions & unknowns reaction 1 attributable expert contribution · Tim Kellogg
“Speculative tool calling from the author of RLMs, Alex Zhang yes, LLM text is streamed, so why not just predict what the next tool call is going to be and get started now before it finishes? boom. done. alexzhang13.github.io/blog/2026/sp...” evidence ↗
3 experts 2 communities 1 sources clustered
Tim Kellogg Sung Kim Marco

“Speculative tool calling from the author of RLMs, Alex Zhang yes, LLM text is streamed, so why not just predict what the next tool call is going to be and get started now before it finishes? boom. done. alexzhang13.github.io/blog/2026/sp...”

“Speculative Programmatic Tool Calling (sPTC) by Alex Zhang A general class of technique for speculating on tool calls during code generation in a harness and queuing them early to overlap with token generation + REPL execution time. Blog: alexzhang13.github…”

2 experts discussed this · 2 posts
Tim Kellogg: Speculative tool calling from the author of RLMs, Alex Zhang yes, LLM text is streamed, so why not just predict what the next tool call is going to be and get started now before it finishes? boom. …
Isaiah Bishop: i kind of love the idea of those multi stream models making the next step
Marco: Speculative tool calling from the author of RLMs, Alex Zhang yes, LLM text is streamed, so why not just predict what the next tool call is going to be and get started now before it finishes? boom. …
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Primary source alexzhang13.github.io ↗
More conversations

What experts are discussing without an anchoring article

2 experts · 11 posts · 14d ago
Sung Kim SE Gyges
Matches Questions & unknowns
“All those open-weight models? Is this market exponentially bigger than both Anthropic and OpenAI combined?” evidence ↗
Shared emphasis Building & implementation · 2
Sung Kim: What is confusing to me about AI infrastructure build out is that, AI build out CapEx is more than 1T per year. Two AI labs have only committed to spending only 200B per year, if that. The backlogs…
Sung Kim: All those open-weight models? Is this market exponentially bigger than both Anthropic and OpenAI combined?
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