ok so Claude Fable 5 is really really good at finding warm intro paths for sales/GTM
we have an internal benchmark/skill that uses our MCP for the data but gives claude freedom on picking the right filters and being creative
i asked it to find me a warm connection at McKinsey. it found people who studied at the same school, same year, worked at the same jobs, engaged with my content before & built a full map
by far the best warm intro paths a claude model has found so far
Anthropic's own researchers just proved that using AI to learn new skills makes you 17% worse at them.
and the part nobody's reading is more important than the headline.
the paper is called "How AI Impacts Skill Formation." randomized experiment. 52 professional developers. real coding tasks with a Python library none of them had used before. half got an AI assistant. half didn't.
the AI group scored 17% lower on the skills evaluation.
Cohen's d of 0.738, p=0.010.
that's a real effect.
and here's what makes it sting: the AI group wasn't even faster.
no significant speed improvement. they learned less AND didn't save time.
but the viral framing of "AI bad for learning" misses what actually matters in this paper.
the researchers watched screen recordings of every single participant.
they identified 6 distinct patterns of how people use AI when learning something new.
3 of those patterns preserved learning. 3 destroyed it.
the gap between them is enormous. participants who only asked AI conceptual questions scored 86% on the evaluation.
participants who delegated everything to AI scored 24%.
same tool. same task. same time limit.
the difference was cognitive engagement.
the highest-scoring AI users actually outperformed some of the no-AI group. they asked "why does this work" instead of "write this for me."
they generated code then asked follow-up questions to understand it. they used AI as a thinking partner, not a replacement for thinking.
the lowest-scoring group did what most people do under deadline pressure: pasted the prompt, copied the output, moved on. they finished fastest.
they learned almost nothing.
and here's the finding that should concern every engineering manager alive: the biggest score gap was on debugging questions.
the skill you need most when supervising AI-generated code is the exact skill that atrophies fastest when you let AI do the work.
the control group made more errors during the task. they hit bugs.
they struggled with async concepts. they got frustrated. and that struggle is precisely what built their understanding.
errors aren't obstacles to learning.
they ARE learning.
removing them with AI removes the mechanism that creates competence.
participants in the AI group literally said afterward they wished they'd "paid more attention" and felt "lazy."
one wrote "there are still a lot of gaps in my understanding."
they could feel the hollowness of having completed something without understanding it.
that's not a productivity win. that's debt.
this paper isn't an argument against using AI. it's an argument against using AI unconsciously.
Anthropic publishing research showing their own product can inhibit skill formation is the kind of intellectual honesty the industry needs more of.
the practical takeaway is simple: if you're learning something new, use AI to ask questions, not to skip the work.
the struggle is the product.
NEW: Company Deep Dive โ Amigo
We sat down with CEO Ali Khokhar to unpack how Amigo is helping health orgs build safe, patient-facing AI agents.
Theyโre redefining trust, simulation, and what it means to actually deploy agentic AI in clinical workflows.
Link below! ๐
NEW: Amigo launches end-to-end platform for AI clinician development with verifiable 99.9% safety and performance metrics.
Healthcare orgs can create and train AI doctors, nurses, and support staff to deliver care at scale: a major milestone for patient-facing AI agents.
we're looking for some incredible full stack engineers here at @youramigoai. if you're looking for the greatest intellectual challenge whilst having the most fun, dm me! love this team and what we're building v much
the most rewarding daily practice i do is meditate for 1.5 hrs. its taught me more about myself and this crazy adventure called life than any book, podcast, etc
helping a close founder friend hire for head of product! youโd be working with a phenomenal solo founder, growing quickly in the healthcare infra software space. looking for ~7 years of experience, who should i chat w??