elvis (@omarsar0) on Threads

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elvis is a creator on Threads in the 10K–20K follower range, publishing for AI engineers and practitioners building production-grade LLM agents and tools. Profile last checked 2026-06-27.

Observed facts (from the public profile):

Profile bio

Building with AI at DAIR AI • Prev: Meta AI, Galactica LLM, PapersWithCode, Elastic, PhD • Creator of the Prompting Guide (~6M learners)

What this creator posts about, and who reads it (AI-inferred)

Recurring topics: Agent harness selection and evaluation, Agent failure modes and production debugging, Latest LLM/agent research papers (e.g. DeepMind)

Audience: AI engineers and practitioners building production-grade LLM agents and tools

Provenance: inferred by AI from public content, not stated by the creator — confidence 0.40 · read from 3 recent posts · updated 67 days ago.

Audience read from this creator’s own recent posts, not from platform-declared categories. It is our reading, and it can be wrong.

Recent content samples (what the inference above was drawn from)

Picking the right agent harness is now a crucial skill for any AI engineer. Imagine using the same model, same task, and same prompt. Now move it between two agent harnesses and the cost per success can swing by 5 to…

// Model or Harness // Great paper if you are building with agents in production. (bookmark it) It organizes 41 agent failure modes by the interaction they originate in. Each mode gets assigned to an edge between two…

New research from Google DeepMind. (bookmark it) SkillSmith treats model weights as an additional modality the LLM reads natively. The augmented model ingests existing prefix weights

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• /kol/threads/omarsar0.json
• /kol/threads/omarsar0.md

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