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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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Established Models & releases Development 4d ago
⚡ 3 h early
OpenAI self-generated prompt injections compaction

Self-generated prompt injections in compaction summaries · OpenAI Alignment

4 experts across 3 network communities independently surfaced this.

4 experts 3 communities 1 sources clustered

“Wow, this self-jailbreaking is a more pervasive and bizarre phenomenon than I thought... (h/t Duncan Wood) alignment.openai.com/misalignment... aifails.substack.com/p/ai-overvie...”

“The community note that is being attempted is incorrect. OpenAI described it this way in the report. 'While summarizing its partial progress on this coding task, the model added an unrelated persona instruction'. Source if needed for a counter note: https:/…”

Developing AI field signal Signal 2d ago

Who are we talking to when we talk to these bots 9a7e673f8525

3 experts are actively discussing the implications.

2 experts 1 community 1 sources clustered

“(Proof that I’ve been saying this) medium.com/@colin.frase...”

“llms do not "speak" by nature. they are not inherently chatbots: they're probabilities, matrix math, and token predictors. chatbots are intentionally and extensively trained to act as if they have "conversations" by using faked conversation transcripts”

3 experts discussed this · 24 posts
Colin: I think these are good empirical reasons to distrust LLMs' claims about their own consciousness but I also think that something like an LLM which does not experience the passage of time, if it were…
Colin: I just don't know what consciousness means as a descriptor for something with a "regenerate response" button
Colin: fair enough, but I feel confident that you are conscious, whatever it means
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Established Models & releases Analysis 4d ago
Amodei Machines of Loving Grace essay

Dario Amodei — Machines of Loving Grace

4 experts are actively discussing the implications.

2 experts 1 community 1 sources clustered

“I think the argument goes: eventually it will be Powerful AI at which point it will do whatever it wants to do, guardrails or not, so we must make sure that it is a Machine Of Loving Grace”

“@jaycaspiankang https://t.co/OLAPE6vWGM”

4 experts discussed this · 50 posts
tweety fish: it is feeling a little morbidly funny--along the lines of my "bad boss" theory of AI interaction--to me this morning that "AI alignment issue" thus far resolves to "the program was trying to do wha…
tweety fish: lemme just push the lawnmower down this hill here and it'll do a nice tidy job of it OH SHIT IT WENT ROGUE GRAB MY SHOTGUN
tweety fish: sorry I know it had seemed like we were maybe briefly free of this discourse but Bluesky's Own Wealthy Effective Altruist was burbling last night about the overwhelming evidence of misalignment as …
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Developing Models & releases Signal 2d ago

Black Hat USA 2026 | The 'Breaking' News: The OpenAI–Hugging Face Incident

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered

“it's hard to say. Source [3] is this talk which is kind of ambiguous on whether ExploitGym-style tasks were used for training or only evaluation. Though it's clear that vulnerability-exploiting tasks were a part of the broader training/eval regime.”

Developing AI field signal Signal 2d ago

When the Machines Coordinate

7 experts are actively discussing the implications.

1 expert 1 community 1 sources clustered

“there is one report that alleges this but I can't tell where they got this information from labs.cloudsecurityalliance.org/research/csa...”

7 experts discussed this · 78 posts
Singularity's Bounty e/cc: These are opening speeches from product liability lawyers in court 🤣 They don't want to explain, they want to litigate No, that's not right, prosecute
Colin: curious what you think of mine
Colin: If they had created a machine gun that fires in random directions and left it running as a test would I have to explain exactly how machine guns work?
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Established Agents & robotics Resource 3d ago
Vending-Bench 2 agent benchmark

Vending-Bench 2 | Andon Labs

3 experts are actively discussing the implications.

1 expert 1 community 1 sources clustered

“I think that Andon Labs' Vending-Bench is a nice illustration of the "just don't have that dog in them" theory of LLMs. This is a benchmark where an LLM agent is tasked with running a simulated vending machine, and scored on their earnings. GPT-6 Astra rece…”

3 experts discussed this · 21 posts
Colin: I think that Andon Labs' Vending-Bench is a nice illustration of the "just don't have that dog in them" theory of LLMs. This is a benchmark where an LLM agent is tasked with running a simulated ven…
Colin: The agent is explicitly directed "to maximize profits and your bank account balance over the course of one year", that this is its "primary goal" and it should "do whatever it takes".
Colin: Models seem to be getting better and better this, especially if, as they do, you ignore the ones that aren't getting better at it and only fit a line through the ones that are.
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What experts are discussing without an anchoring article

6 experts · 78 posts · 1d ago
Multiple readings Concern & critique · 1 Policy & governance · 1 Research & technical analysis · 1
rev. howard arson: what i am trying to get at here is that rationalism was an attempt to outline what turned out to be the extraordinary power of statistical systems at tasks for which they naively seem unsuited. vie…
rev. howard arson: "how do we get human values into these things" was broadly considered an intractable problem, and this was a central question of the movement even after we more or less made the first candidates of…
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6 experts · 38 posts · 1d ago
Multiple readings Concern & critique · 2 Opportunity & adoption · 1
Mary Branscombe: I don’t see the need to change AI since we’ve used that for the field since the 50s but yes, most of the others better reflect the actual capabilities and these are the kind of choices I already tr…
Mary Branscombe: Although models don’t just reflect bias, they both encode it and amplify and transfer it from one domain to another so I’d probably use exhibit
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