Claude acaba de cargarse los empleos de ciberseguridad https://t.co/04MdwS7Tzw pic.twitter.com/tdmT0E6Zzc
— Nico (@nicos_ai) 30 avril 2026
Claude just wiped out cybersecurity jobs
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Claude acaba de cargarse los empleos de ciberseguridad https://t.co/04MdwS7Tzw pic.twitter.com/tdmT0E6Zzc
— Nico (@nicos_ai) 30 avril 2026
Claude just wiped out cybersecurity jobs
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Fireside chat at Sequoia Ascent 2026 from a ~week ago. Some highlights:
— Andrej Karpathy (@karpathy) 30 avril 2026
The first theme I tried to push on is that LLMs are about a lot more than just speeding up what existed before (e.g. coding). Three examples of new horizons:
1. menugen: an app that can be fully engulfed by… https://t.co/AJFgYC6SoN
Fireside chat at Sequoia Ascent 2026 from a ~week ago. Some highlights: The first theme I tried to push on is that LLMs are about a lot more than just speeding up what existed before (e.g. coding). Three examples of new horizons: 1. menugen: an app that can be fully engulfed by

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MCP vs RAG vs AI Agents MCP → connects tools
RAG → connects knowledge
Agents → execute tasks Not competitors.
A stack. The advantage?
How you combine them. Where are you investing first? #AI #Agents #RAG #Tech
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OpenClaw + Codex actually works really well. Just create a project in Codex with the folder OpenClaw is in. I troubleshoot any OpenClaw issues I bump into directly in Codex.
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Awesome. Definitely going to play with this. I actually use Codex and Slack as the two frontends for my OpenClaw as well. Slack for most messaging, Codex for adding new functionality.

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@AbridgeHQ is joining us at Interrupt. At Interrupt, the Agent Conference by LangChain, VP of Product Janie Lee will take the stage to discuss how Abridge transforms patient-clinician conversations into contextually aware, clinically useful, and billable AI-generated notes.
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Making harness edits revertible and falsifiable is the missing primitive most agent builders don't have.
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What I want is for my AI agents to be able to send a newsletter automatically. How do I do that?

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If you're a student, professor, or researcher—this one's for you. We’re hosting a series of virtual learnings for you to get hands-on experience with the NVIDIA NemoClaw and OpenShell software stack. You’ll get practical guidance on integrating agents with academic datasets and
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developers talk about agent harnesses/orchestration like it's back-end architecture and that if they could only get it right, they can keep building on top of it but what if it's more like personal/organizational decision making processes and org charts, and it's meant to be