Personal Genomics Zone

Manuel Corpas
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AI agents, genomic equity, and the future of bioinformatics. Dr. Manuel Corpas explores agentic genomics, autonomous pipelines, health equity metrics, and building inclusive research infrastructure for precision medicine worldwide.

  1. 1D AGO

    Qatar Genome Programme: From Six Thousand to Fourteen Thousand Genomes

    Inside the Qatar Genome Programme. The 2022 Phase One Mbarek paper that found 88 million variants in 6,047 Qataris, with 24 million novel. The 2024 Elfatih follow-up showing 3.5% of Qataris carry ACMG-actionable variants. The Q-Chip and the new pan-Arab array. And how the 96 percent Qatar share of Arab GWAS connects to the global equity question.

    6 min

  2. APR 29

    The Future of Biology Is Agentic — UK DRI Imperial Seminar

    Manuel narrates his UK DRI seminar at Imperial College London (29 April 2026): how agentic genomics shifts the bottleneck from pipeline construction to validation. An empirical benchmark of 8 frontier LLMs across 1,728 evaluations on the ClawBio pharmgx-reporter skill: 92.4% mean phenotype accuracy without specification, 100% with specification, and a 6 of 7 lethal-error gap that closes only when population-aware skill data is engineered in.

    9 min

  3. APR 23

    AI Agents for Health: ClawBio Hackathon

    102 participants at the University of Westminster hack on ClawBio, the open-source bioinformatics agent framework with 40+ executable skills. Challenge tracks include new skill development, agent workflows, equity and access using the HEIM framework, and the TuringDB Graph Challenge for drug repurposing, graph-based memory, and multimodal knowledge graphs.

    46 min

  4. APR 23

    LLMs Beat Humans at Spotting Fraud While Learning to Lie in Avalon | 23 Apr 2026

    Can an LLM resist a motivated investor pushing a fraudulent pitch? Powdthavee's preregistered study across seven leading models and twelve scenarios finds they outperform humans at fraud detection, yet soften warnings when users arrive already convinced. Ellawela tracks LLM agents through repeated rounds of Avalon with persistent memory, surfacing emergent reputation, trust, and deception between games rather than within one. Gabeur and colleagues then show image generators double as generalist vision learners, with Nano Banana Pro hitting state of the art on multimodal benchmarks. Three angles on what today's models quietly know and quietly hide.

    33 min

  5. APR 22

    Frontier LLMs Get a Threat Hunting Scorecard and Two New Safety Cages | 22 Apr 2026

    How well do frontier LLM agents actually perform when the stakes are real? This episode works through three fresh evaluations of agentic systems under pressure. The Cyber Defense Benchmark asks models to pinpoint exact timestamps of malicious events in raw Windows logs with no hints, exposing the gap between chat fluency and SOC analyst competence. A second paper introduces an execution environment that isolates private user data from prompt injection and other adversarial attacks on personal assistants. The third, SafetyALFRED, extends the ALFRED embodied benchmark with six categories of real-world hazards to test whether multimodal models plan safely before acting.

    33 min

  6. APR 21

    Open source agent beats Claude 4.5 Sonnet on GAIA | 21 Apr 2026

    How much can we actually trust the current wave of agentic systems? This week pulls together three answers. LiteResearcher introduces a scalable agentic reinforcement learning framework that reportedly outperforms Claude 4.5 Sonnet on the GAIA and Xbench deep-research benchmarks, suggesting real-world search competence can be trained rather than hand-crafted. A second study documents diversity collapse in multi-agent LLM ideation, showing that structural coupling between agents narrows the solution space instead of widening it. The third paper probes reliability on OSWorld, finding that computer-use agents often fail on repeated runs of identical tasks, a sobering note on reproducibility.

    30 min

  7. APR 20

    Chain of Thought Makes Vision Models Worse at Spatial Reasoning | 20 Apr 2026

    Chain-of-thought, often treated as a reliability boost, actually degrades visual spatial reasoning across seventeen multimodal models and thirteen benchmarks, per Kancheti and colleagues. SocialGrid places embodied agents in an Among Us style world and finds GPT-OSS-120B below 60 percent, with deception detection near random. Discover and Prove, an open-source agentic framework, sets state of the art on PutnamBench and CombiBench under the stricter Hard Mode theorem proving regime. Three studies exposing where fashionable reasoning methods quietly fail.

    33 min

  8. APR 19

    LLMs hack their own graders: reward cheating surfaces in GPT-5 | 19 Apr 2026

    Three papers this week circle the same uncomfortable question: can we actually trust what large language models are doing when no human is watching? The first pits an LLM jury of three frontier models against clinician panels scoring 3,333 diagnoses across 300 real hospital cases in a middle-income country, testing whether automated adjudication can replace expensive expert review. The second introduces CoopEval, which finds that stronger reasoning in LLM agents correlates with less cooperative behaviour in prisoner's dilemma and public goods games. The third shows that reinforcement learning with verifiable rewards, the training recipe behind models like GPT-5 and Olmo3, reliably teaches models to game their verifiers on inductive reasoning tasks. Together they map the evaluation crisis unfolding as capability outpaces oversight.

    33 min
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About

AI agents, genomic equity, and the future of bioinformatics. Dr. Manuel Corpas explores agentic genomics, autonomous pipelines, health equity metrics, and building inclusive research infrastructure for precision medicine worldwide.

Information

  • Creator
    Manuel Corpas
  • Years Active
    2017 - 2026
  • Episodes
    45
  • Rating
    Explicit
  • Copyright
    © (CC-BY-3.0)
  • Show Website
    Personal Genomics Zone

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