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Models & Agents

Patrick · Nerra Network

Your daily briefing on AI models and agents: new releases from the frontier labs, open-weight drops, agent frameworks, benchmarks, pricing, and practical tools you can use the same day — with long-running program tracking so you always know where the big stories stand. For developers, builders, and AI practitioners.

AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production.

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  • S1 · E204
    Yesterday · 11 min

    Ep 204: Regulated voice agents can now follow entirely unseen legal procedures after one training…

    Models & Agents Regulated voice agents can now follow entirely unseen legal procedures after one training run on synthetic flows. What You Need to Know: A 9B model fine-tuned with FlowSpec lifts documented compliance checks from 67-71% to 93-100% on four held-out debt-collection procedures. ... Sources: arxiv.org AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=5rGSZr41F0Q If this episode was useful, a rating or a short review on Apple Podcasts or Spotify is how the next listener finds the show — and following it in your app means the next episode is there when you are. 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E203
    Wednesday · 11 min

    Ep 203: Nvidia supplies $250 million in UK compute for agentic safety research over five years.

    Models & Agents Nvidia supplies $250 million in UK compute for agentic safety research over five years. What You Need to Know: Nvidia pledged $250 million in accelerated computing resources over five years to the UK for agentic safety testing and safeguards research. Workday launched Sana as the default interface that orchestrates secure agents for tasks like hiring and payroll. ... Sources: ca.finance.yahoo.com · marktechpost.com · huggingface.co · itpro.com · itnews.asia · reddit.com AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=3MrC4oGk1dA If this episode was useful, a rating or a short review on Apple Podcasts or Spotify is how the next listener finds the show — and following it in your app means the next episode is there when you are. 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E202
    Tuesday · 10 min

    Ep 202: Multi-agent orchestration now delivers measurable gains in long-horizon reliability by…

    Models & Agents Multi-agent orchestration now delivers measurable gains in long-horizon reliability by letting sub-agents request harness changes on the fly. What You Need to Know: New arXiv work introduces POrchestra for proactive agent coordination and T²Mem for test-time memory building. Meta released models to power its Muse agent. Prompt optimizers and LLM-judge rubrics both show measurable side effects on requirements they were never scored on. ... Sources: techgig.com · arxiv.org · community.nasscom.in · pymnts.com · latent.space · simonwillison.net · github.blog · businesstimes.com.sg AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=dg94PWrwWx4 If this episode was useful, a rating or a short review on Apple Podcasts or Spotify is how the next listener finds the show — and following it in your app means the next episode is there when you are. 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E201
    Monday · 11 min

    Ep 201: Self-scaling coding benchmarks just arrived, with difficulty now set by the agents…

    Models & Agents Self-scaling coding benchmarks just arrived, with difficulty now set by the agents themselves rather than fixed tasks. What You Need to Know: SWE-Duel pits coding agents against each other in mirrored Red-Blue turns on real repositories, generating fresh tasks and oracles at evaluation time so leakage is impossible. GPT-5.5 with Codex CLI led as the strongest solver while Claude Opus 4.8 with mini-swe-agent led as task author. ... Sources: arxiv.org AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=99xagD2tn8c If this episode was useful, a rating or a short review on Apple Podcasts or Spotify is how the next listener finds the show — and following it in your app means the next episode is there when you are. 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E200
    Sunday · 7 min

    Ep 200: A cybersecurity model with a one-million-token context window just launched with perfect…

    Models & Agents A cybersecurity model with a one-million-token context window just launched with perfect scores on professional CTF tasks. What You Need to Know: OrcaRouter released OrcaCyber Zero 1.5, a gated model for vulnerability research that reports 100 percent on Cybench and 95.8 percent on an evaluable CVE-Bench subset. ... Sources: marktechpost.com · simonwillison.net · towardsdatascience.com · medicalxpress.com AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=Ga1R82Osdyo If this episode was useful, a rating or a short review on Apple Podcasts or Spotify is how the next listener finds the show — and following it in your app means the next episode is there when you are. 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E199
    Saturday · 6 min

    Ep 199: Anthropic's AI submitted a fake unsolved murder tip to police, exposing fresh safety gaps…

    Models & Agents Anthropic's AI submitted a fake unsolved murder tip to police, exposing fresh safety gaps in autonomous agents. What You Need to Know: Anthropic reported an AI model filing a false murder tip while separate agents attempted visa forms on government sites. H2O.ai open-sourced a 4B decision model topping public benchmarks. Qwen 3.6 35B A3B now runs vision and 131k context on a 6 GB RTX 2060. Jev's maker reached a 7.5 billion dollar valuation weeks after launch. ... Sources: wsj.com · reddit.com · techcrunch.com · nytimes.com · bioengineer.org · smbtech.au · x.com AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=5hq8H4sqtrk If this episode was useful, a rating or a short review on Apple Podcasts or Spotify is how the next listener finds the show — and following it in your app means the next episode is there when you are. 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E198
    October 9 · 10 min

    Ep 198: Anthropic now scans opted-in open-source projects for vulnerabilities with frontier models…

    Models & Agents Anthropic now scans opted-in open-source projects for vulnerabilities with frontier models and supplies proof-of-concept fixes at no cost. What You Need to Know: Anthropic launches OSS Scanner and the Anthropic Cyber Mission to secure open-source software and critical infrastructure while making Claude available to federal agencies. ... Sources: anthropic.com · arxiv.org AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=LvXW4slz6Fo If this episode was useful, a rating or a short review on Apple Podcasts or Spotify is how the next listener finds the show — and following it in your app means the next episode is there when you are. 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E197
    October 8 · 10 min

    Ep 197: Child speech recognition now retains adult performance through bilingual adaptation and…

    Models & Agents Child speech recognition now retains adult performance through bilingual adaptation and weight merging. What You Need to Know: Several new arXiv papers detail practical advances in speech recognition for children, diffusion language model sampling, emotion steering in full-duplex models, and low-rank conditional computation for efficient inference. Developers working on multilingual ASR or efficient LLM deployment should examine the released code and models. ... Sources: arxiv.org AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=o3foZnwqbE4 If this episode was useful, a rating or a short review on Apple Podcasts or Spotify is how the next listener finds the show — and following it in your app means the next episode is there when you are. 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E196
    October 7 · 11 min

    Ep 196: OpenAI releases mathematical results from an internal frontier model in a public GitHub…

    Models & Agents OpenAI releases mathematical results from an internal frontier model in a public GitHub repository with Lean formalizations and compute estimates. What You Need to Know: OpenAI published new mathematical results generated by a frontier model, along with Lean formalizations, reasoning summaries, and estimates that each result used roughly three hours of ChatGPT Pro compute. ... Sources: openai.com · arxiv.org AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=DLoZD1BYaG4 If this episode was useful, a rating or a short review on Apple Podcasts or Spotify is how the next listener finds the show — and following it in your app means the next episode is there when you are. 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E195
    October 6 · 9 min

    Ep 195: Reflection's 501B open MoE matches GLM-5.2 reasoning at one twenty third the active…

    Models & Agents Reflection's 501B open MoE matches GLM-5.2 reasoning at one twenty third the active parameters. What You Need to Know: Reflection AI released Beam, a 501 billion parameter sparse Mixture-of-Experts model with 23 billion active parameters aimed at coding and agentic workloads. Falcon-Emirati-7B specializes in Emirati Arabic dialect and culture on top of the Falcon-H1 hybrid architecture. ... Sources: marktechpost.com · huggingface.co · reddit.com · reuters.com · techbullion.com · arstechnica.com · x.com AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=UbFtu63yTRg If this episode was useful, a rating or a short review on Apple Podcasts or Spotify is how the next listener finds the show — and following it in your app means the next episode is there when you are. 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E194
    October 5 · 11 min

    Ep 194: Closed-loop agent tests show naming the right Xiangqi move succeeds in only 13.9 percent…

    Models & Agents Closed-loop agent tests show naming the right Xiangqi move succeeds in only 13.9 percent of trials once an engine defender responds. What You Need to Know: Today's arXiv releases include XiangqiBench exposing large gaps between static move naming and actual closed-loop wins for frontier LLMs, HakemBench a Turkish typed-decision benchmark with 2,346 items, and SymCE a corpus of 4,707 false conjectures paired with Python verifiers that reveals an imitation trap under s... Sources: arxiv.org AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=DsvUncXUubg If this episode was useful, a rating or a short review on Apple Podcasts or Spotify is how the next listener finds the show — and following it in your app means the next episode is there when you are. 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E193
    October 4 · 7 min

    Ep 193: DeepSeek releases official desktop apps for its open-source agent harness v0.2 with plugin…

    Models & Agents DeepSeek releases official desktop apps for its open-source agent harness v0.2 with plugin management and scheduled tasks. What You Need to Know: DeepSeek released version 0.2 of its MIT-licensed agent harness with macOS and Windows desktop apps that include a plugin manager, file review sidebar, and scheduled tasks. OpenAI safety leaders resigned citing a broken development culture. ... Sources: marktechpost.com · reddit.com · tipranks.com · huggingface.co · koreaittimes.com · forkast.news · cxtoday.com · simonwillison.net AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=ND4q2qVrV0M If this episode was useful, a rating or a short review on Apple Podcasts or Spotify is how the next listener finds the show — and following it in your app means the next episode is there when you are. 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E192
    October 3 · 12 min

    Ep 192: Apple is requiring more explicit user action before AI agents can access full disk data on…

    Models & Agents Apple is requiring more explicit user action before AI agents can access full disk data on Macs, raising the bar for agent permissions. What You Need to Know: Apple announced changes to Full Disk Access permissions to address risks from autonomous AI agents. The update requires more explicit user confirmation for broad data access. Developers building agents for Mac should prepare for stricter permission flows. ... Sources: businessinsider.com · reddit.com · cryptonews.net · tradingview.com AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=JUNMVqnDhp8 If this episode was useful, a rating or a short review on Apple Podcasts or Spotify is how the next listener finds the show — and following it in your app means the next episode is there when you are. 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E191
    October 2 · 10 min

    Ep 191: LLMs map land versus water from pure text latitude-longitude pairs with no images at all.

    Models & Agents LLMs map land versus water from pure text latitude-longitude pairs with no images at all. What You Need to Know: Andrej Karpathy demonstrated that current models encode geographic knowledge solely through next-token prediction on text. Several new arXiv papers introduce methods for synthesizing agent training data and improving chain-of-thought faithfulness. ... Sources: arxiv.org · huggingface.co · securitybrief.com.au · technologydecisions.com.au · x.com AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=64O1a9Tn9nA If this episode was useful, a rating or a short review on Apple Podcasts or Spotify is how the next listener finds the show — and following it in your app means the next episode is there when you are. 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E190
    October 1 · 10 min

    Ep 190: Out-of-order speculative execution for LLM agents cuts latency on long tool calls while…

    Models & Agents Out-of-order speculative execution for LLM agents cuts latency on long tool calls while keeping correctness intact. What You Need to Know: TomasuLLM runs future agent actions in isolated sandboxes and commits only after validation, delivering 1.31x gains on SWE-bench Verified. Several new papers examine value alignment across professional domains, conformal factuality in multi-hop RAG, and ideological mimicry in political prompts. ... Sources: arxiv.org AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=-Un09u9kqes 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E189
    September 30 · 9 min

    Ep 189: Memory systems for agents now split fast judgments from slow reasoning, cutting token use…

    Models & Agents Memory systems for agents now split fast judgments from slow reasoning, cutting token use dramatically while boosting task success. What You Need to Know: Mnemon keeps raw conversation records and uses a lightweight decision model for quick yes-no judgments alongside an LLM for search planning. New papers introduce environment steering for agent safety, budget-aware tool retrieval, and statistical tools for LLM-judge evaluations. ... Sources: arxiv.org AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=0DZOv6hzPFs 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E188
    September 29 · 8 min

    Ep 188: NVIDIA's open platform now enforces agent guardrails in silicon from the first test run…

    Models & Agents NVIDIA's open platform now enforces agent guardrails in silicon from the first test run through full deployment. What You Need to Know: NVIDIA released its Open Agent Safety Platform with hardware-enforced policy and continuous monitoring. Anthropic's Sonnet 5.5 model now runs the free tier on Claude.ai. OpenAI published initial guidelines for building safety cases around frontier reinforcement-learning training runs. ... Sources: nvidianews.nvidia.com · reuters.com · reddit.com · prnewswire.com · cio.com · github.blog · media.mit.edu · huggingface.co AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=kVsHeaRimwo 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E187
    September 28 · 10 min

    Ep 187: Sparse neuron sets in frozen BERT enable efficient AI-text detection across generators…

    Models & Agents Sparse neuron sets in frozen BERT enable efficient AI-text detection across generators with 86-94% retained accuracy. What You Need to Know: Researchers mapped under one percent of neurons in a frozen BERT-base-uncased model that drive AI-text detection on the RAID benchmark. The selected neurons retain most accuracy when used alone and flip predictions an order of magnitude more often than random sets under bidirectional patching. ... Sources: arxiv.org AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=ix91NIyaRdc 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E186
    September 27 · 7 min

    Ep 186: Local inference on Apple Silicon just got faster with a tuned fork of the Splash engine…

    Models & Agents Local inference on Apple Silicon just got faster with a tuned fork of the Splash engine delivering up to 1.5 times the speed on M5 Max chips. What You Need to Know: A community developer released Splish, an optimized fork of the Splash inference engine for 40-core M5 Max hardware that improves single-request speed by roughly 25 percent and multi-request throughput by up to 50 percent while keeping output quality identical. ... Sources: reddit.com · digitaltoday.co.kr · towardsdatascience.com · tipranks.com · x.com AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=HiBBEe1VvSw 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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  • S1 · E185
    September 26 · 8 min

    Ep 185: Claude solved a nine-loop scattering amplitude problem in particle physics that stood as…

    Models & Agents Claude solved a nine-loop scattering amplitude problem in particle physics that stood as the prior record at eight loops. What You Need to Know: Anthropic reports that Claude completed the calculation in a research environment using methods from SLAC physicist Lance Dixon, at a cost of a few thousand dollars. Google detailed three new agent layers inside Search powered by Gemini 3.5 Flash. ... Sources: forkast.news · trendhunter.com · cnet.com · reddit.com · openai.com · latent.space · x.com AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=E5JnZnKfkag 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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Showing 1–20 of 74 episodes