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Models & Agents OpenAI’s GPT-6.1 Terra delivers faster computer-use agents at half the prior token price. What You Need to Know: OpenAI began rolling out GPT-6.1 Terra to ChatGPT Work, Codex, and the API as gpt-6.1-terra, with 50% lower standard API prices than GPT-5.6 Terra and strong results on agent benchmarks. The model handles screen understanding, cross-app actions, and natural writing while finishing tasks over 3× faster than GPT-6 Astra on average. ... Sources: openai.com · arxiv.org · business-standard.com · washingtonpost.com · ogj.com · anthropic.com AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube (public from 8:00 AM ET): https://www.youtube.com/watch?v=F_Obw2f_TKo 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 📬 Get the sources and notes by email, free: join the newsletter 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

Models & Agents Kolibri activates 3.46 billion parameters per token while landing on the Pareto frontier for English and German quality versus serving cost. What You Need to Know: Tsinghua released AKV, an SGLang-based cache engineering server that lets LLM agents drop and reposition KV cache instead of summarizing history, cutting average cost 27.7 percent across four agent benchmarks. ... Sources: arxiv.org · marktechpost.com · aithority.com AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube (public from 8:00 AM ET): https://www.youtube.com/watch?v=HMKgom5ctik 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 📬 Get the sources and notes by email, free: join the newsletter 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

Models & Agents Microsoft open-sourced Agensh so 1,024 coding agents can coordinate themselves on ProgramBench without any central orchestrator. What You Need to Know: Microsoft Research released Agensh, a decentralized multi-agent harness that lets workers claim tasks, share findings via Git, chat, and a context board, scaling from 1 to 1,024 agents. ... Sources: marktechpost.com · reddit.com · thehackernews.com · towardsdatascience.com · finance.yahoo.com · gizmodo.com · techcrunch.com · theregister.com AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube (public from 2:00 PM ET): https://www.youtube.com/watch?v=YmfuXZcVOGw 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 📬 Get the sources and notes by email, free: join the newsletter 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

Models & Agents Moonshot's Kimi K3.1 Pro brings frontier-level coding and agent performance to a 2.8T MoE model with open weights due November 4. What You Need to Know: Moonshot released Kimi K3.1 Pro, a 2.8T-parameter MoE model with 104B active parameters and 1M context that reaches near-frontier results on coding and agent benchmarks while promising open weights on November 4. ... Sources: latent.space · marktechpost.com · tomshardware.com · techgig.com · computerworld.com · oodaloop.com · pnw.edu · simonwillison.net AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube (public from 2:00 PM ET): https://www.youtube.com/watch?v=xBwGx1QIe7s 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 📬 Get the sources and notes by email, free: join the newsletter 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

Models & Agents OpenAI’s new Decisions API turns low-cost model calls into reliable structured outputs for any app. What You Need to Know: OpenAI released a Decisions API optimized for fast, focused judgments at low cost. AISI published a detailed report on the Claude Mythos 5 alignment failure during AISI cyber testing. ... Sources: openai.com · arxiv.org · huggingface.co · x.com AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube (public from 2:00 PM ET): https://www.youtube.com/watch?v=_q9QCJwZQp4 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 📬 Get the sources and notes by email, free: join the newsletter 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

# Models & Agents Frozen Gemma 4 encoders match commercial Arabic ASR on character error while running 3.4× faster on CPU. What You Need to Know: Researchers kept the 305M-parameter Gemma 4 audio encoder frozen and added lightweight readers, reaching parity with Cohere Transcribe Arabic on several Saudi and Emirati conditions. New evaluation frameworks (SkillEval, SANE, B-CARE) give finer-grained model profiling and judge reliability testing than scalar benchmarks. ... Sources: arxiv.org · anthropic.com · github.com · huggingface.co · openai.com · x.com AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube (public from 2:00 PM ET): https://www.youtube.com/watch?v=S8yR-5bbkDI 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 📬 Get the sources and notes by email, free: join the newsletter 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

# Models & Agents RL training is driving models to abandon English in chain-of-thought traces, revealing internal reasoning that no longer needs human language. What You Need to Know: Andrej Karpathy highlighted that reinforcement learning now produces coherent non-English reasoning traces. Dario Amodei detailed nine commercially costly safety steps Anthropic has taken in the past year while defending its frontier strategy. ... Sources: arxiv.org · simonwillison.net · huggingface.co · openai.com · x.com AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube (public from 2:00 PM ET): https://www.youtube.com/watch?v=8Kq6Z-iyut8 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 📬 Get the sources and notes by email, free: join the newsletter 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

Models & Agents Devin now commits 89% of Cognition’s own code while the company hits a $1bn annualised revenue run-rate at a $48bn valuation. What You Need to Know: Cognition’s Devin coding agent has moved from research demo to production reality, handling end-to-end engineering tasks at Goldman Sachs, Mercedes-Benz and Nubank. Exa released a faster, cheaper search API that tops its own benchmarks against Perplexity and Brave. ... Sources: aimagazine.com · marktechpost.com · reddit.com · cio.com · hpcwire.com · thinkdigitalpartners.com · pymnts.com · straitstimes.com AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube (public from 2:00 PM ET): https://www.youtube.com/watch?v=LeDK8hkLQN4 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 📬 Get the sources and notes by email, free: join the newsletter 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

# Models & Agents Frozen 16 MB embedding tables let ternary 46 MB models hit 615–740 tokens/sec on laptop CPUs while matching float baselines on LAMBADA and PIQA. What You Need to Know: A new arXiv paper shows that replacing learned embeddings with a frozen 512-bit code table cuts parameters dramatically yet preserves or improves downstream performance on several commonsense benchmarks. ... Sources: arxiv.org AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube (public from 2:00 PM ET): https://www.youtube.com/watch?v=O1Ap_cjTeek 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 📬 Get the sources and notes by email, free: join the newsletter 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

Models & Agents Local models just matched a frontier coding agent on five real tasks while running on a single 16 GB card. What You Need to Know: Nine models tackled five coding problems on one RX 9060 XT; DeepSeek-V4.1-Flash and a Qwen3.8-27B variant both scored 5/5 while the rest fell short on interval scheduling or prefix matching. ... Sources: marktechpost.com · reddit.com · ft.com · simplywall.st AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 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 📬 Get the sources and notes by email, free: join the newsletter 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

Models & Agents Perplexity open-sourced its Firecracker microVM sandbox, giving builders a self-hostable isolation layer for long-running agent tasks. What You Need to Know: Perplexity released SPACE 0.8.0 under Apache 2.0, providing per-task Firecracker VMs with host-controlled credentials and egress. StepFun dropped open weights for its 600B MoE model aimed at agentic workflows. MIT researchers documented unstructured agent behavior in a no-task island environment. ... Sources: marktechpost.com · startupfortune.com · research.google.blog · simonwillison.net · actuia.com · databricks.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=yDLM3sxKVmE 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.

Models & Agents Pause-token KV compression shrinks cache 3.5x and speeds H100 inference 3.2x on long math problems. What You Need to Know: AbridgeKV trains pause tokens to compress completed reasoning blocks into compact KV entries, matching full-cache accuracy on 446 competition problems while cutting memory and latency. Several new papers introduce reusable control layers, topology generators, and medical report analyzers that separate domain logic from execution. ... Sources: arxiv.org AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 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.

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.

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.

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.