<![CDATA[Latest in AI]]>https://latest-in-ai-6g5ihs.jellypod.comPowered by Jellypod (https://www.jellypod.com)Sun, 01 Nov 2026 19:02:23 GMTMon, 19 Oct 2026 18:02:49 GMTyes9fc52cb8-4661-4b59-a75d-a95d7a32250fDante MartinMost AI coverage is a day late by design — newsletters publish on a schedule, which means every story they run sat public for hours first. Latest in AI lives upstream. We monitor the primary sources around the clock and surface the stories while they're sMost AI coverage is a day late by design — newsletters publish on a schedule, which means every story they run sat public for hours first. Latest in AI lives upstream. We monitor the primary sources around the clock and surface the stories while they're still forming. Expect early calls on model releases and benchmark fights, the leaks and infrastructure tells that precede launches, the policy moves that will matter in six months, and special attention to where AI collides with the wireless and carrier world. If you want to be the person in your group chat who knew first, this is the feed.episodicDante Martinfeed+f399b627@podcasts.jellypod.comfalse<![CDATA[Latest in AI — October 31, 2026 | Modular Data Centers and AI Brain Surgery]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/29167bf0-10b5-447b-b75b-f2825fc815fb29167bf0-10b5-447b-b75b-f2825fc815fbSat, 31 Oct 2026 15:13:40 GMT2424Dante Martin's AI voice clone and Jenn Xeno AI explore the cutting edge of AI infrastructure and physical actuation: rapidly deployable modular data centers, real-time interactive physics simulations replacing traditional software, and neural interfaces mapping unspoken intent.

]]>Dante MartinDante Martin's AI voice clone and Jenn Xeno AI explore the cutting edge of AI infrastructure and physical actuation: rapidly deployable modular data centers, real-time interactive physics simulations replacing traditional software, and neural interfaces mDante Martin's AI voice clone and Jenn Xeno AI explore the cutting edge of AI infrastructure and physical actuation: rapidly deployable modular data centers, real-time interactive physics simulations replacing traditional software, and neural interfaces mapping unspoken intent.false00:30:33full<![CDATA[Latest in AI — October 28, 2026 | Faster Intelligence, Harder Questions]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/e2e26f97-4f0d-462d-acf7-843d993dd3fae2e26f97-4f0d-462d-acf7-843d993dd3faWed, 28 Oct 2026 17:15:21 GMT2323Today: DiffuSpace Clover challenges autoregressive generation; NVIDIA improves MoE decoding; SK hynix and Anthropic reveal the economics behind the AI buildout. We trace what trustworthy agents need, from OpenShell and credential brokers to human judgment, then examine AI in electronics, biology and neutrino physics, plus the geopolitical limits of compute, satellites and autonomous flight. A single daily show with source-grounded corrections and analysis.

]]>Dante MartinToday: DiffuSpace Clover challenges autoregressive generation; NVIDIA improves MoE decoding; SK hynix and Anthropic reveal the economics behind the AI buildout. We trace what trustworthy agents need, from OpenShell and credential brokers to human judgmentToday: DiffuSpace Clover challenges autoregressive generation; NVIDIA improves MoE decoding; SK hynix and Anthropic reveal the economics behind the AI buildout. We trace what trustworthy agents need, from OpenShell and credential brokers to human judgment, then examine AI in electronics, biology and neutrino physics, plus the geopolitical limits of compute, satellites and autonomous flight. A single daily show with source-grounded corrections and analysis.false00:47:57full<![CDATA[Latest in AI — October 27, 2026 | Morning Edition: Proof, Compression, and Control]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/e015a29f-5995-43e5-91a6-7c2b72883fafe015a29f-5995-43e5-91a6-7c2b72883fafTue, 27 Oct 2026 15:18:46 GMT2222Dante Martin’s AI voice clone and Jenn Xeno explore the tension between racing model capability and the physical, mathematical, and operational constraints needed to deploy it. In this morning's sweep: OpenAI’s Lean-formalized math claims refuting the Exponential Time Hypothesis, ISTA-DASLab running 763B DeepSeek models in 12GB VRAM via Strata, Cadence’s on-prem Maestro chip-design models, Anthropic’s S-1 governance and revenue disclosures, Deutsche Bank and Itaú reshaping enterprise lending, task-scoped agent permissions from Cisco and FireMon, Cohere’s sandbox findings on Qwen, and the physical reality of data-center cargo theft and Tata’s $450M fiber expansion.

]]>Dante MartinDante Martin’s AI voice clone and Jenn Xeno explore the tension between racing model capability and the physical, mathematical, and operational constraints needed to deploy it. In this morning's sweep: OpenAI’s Lean-formalized math claims refuting the ExpDante Martin’s AI voice clone and Jenn Xeno explore the tension between racing model capability and the physical, mathematical, and operational constraints needed to deploy it. In this morning's sweep: OpenAI’s Lean-formalized math claims refuting the Exponential Time Hypothesis, ISTA-DASLab running 763B DeepSeek models in 12GB VRAM via Strata, Cadence’s on-prem Maestro chip-design models, Anthropic’s S-1 governance and revenue disclosures, Deutsche Bank and Itaú reshaping enterprise lending, task-scoped agent permissions from Cisco and FireMon, Cohere’s sandbox findings on Qwen, and the physical reality of data-center cargo theft and Tata’s $450M fiber expansion.false00:27:33full<![CDATA[The Latest in AI — X Evening Edition (October 26, 2026)]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/8bbc1975-a6ed-49c6-a2e8-f6b06a4c7a3c8bbc1975-a6ed-49c6-a2e8-f6b06a4c7a3cTue, 27 Oct 2026 03:21:18 GMT212120 new developments in AI spanning frontier research, infrastructure financing, and local AI execution: Cloudflare’s rapid patch of a GLM-5.3 KV-cache leak, Broadcom’s $63B SPV airline-style compute financing, OpenAI’s Lean-verified math breakthrough and GPT-6.1 Terra release, CodeRabbit deploying GPT-6.1 Sol for autonomous security loops, Apple’s iOS 27.2 Siri overhaul, Tencent’s open-source Hy-SimulMT-30B speech translation, and new benchmarks running ternary 30B models and 400 tok/s clusters on legacy GPUs.

Show Notes / Topics Covered:

  • Infrastructure & Financing: Wall Street banks structure Broadcom’s $63B compute facility as aircraft-style leases; Verizon anchors enterprise AI fabrics; and helium joins the US Critical Materials list as a vital fab dependency.

  • Security & Incident Response: Cloudflare exposes and patches a GLM-5.3 multi-tenant KV-cache leak in 15 hours; CodeRabbit shifts security from static scanners to live interactive fix loops with GPT-6.1 Sol; Greptile gives GPT-6 Astra browser tools for live bug hunts.

  • Frontier Models & Math: OpenAI refutes the Exponential Time Hypothesis with Lean formal verification, debuts Codex Ultrafast for infrastructure debugging, and launches GPT-6.1 Terra to halve mid-tier pricing.

  • Local & Edge Compute: Hobbyists hit 400 tok/s on triple V100s; ternary Nemotron 30B unlocks 368k context on 12GB GPUs; Embedl runs Qwen3.8-27B at 40 tok/s on Jetson Thor; and Hob launches an offline desktop agent running Gemma 4 and gpt-oss privately.

]]>Dante Martin20 new developments in AI spanning frontier research, infrastructure financing, and local AI execution: Cloudflare’s rapid patch of a GLM-5.3 KV-cache leak, Broadcom’s $63B SPV airline-style compute financing, OpenAI’s Lean-verified math breakthrough and 20 new developments in AI spanning frontier research, infrastructure financing, and local AI execution: Cloudflare’s rapid patch of a GLM-5.3 KV-cache leak, Broadcom’s $63B SPV airline-style compute financing, OpenAI’s Lean-verified math breakthrough and GPT-6.1 Terra release, CodeRabbit deploying GPT-6.1 Sol for autonomous security loops, Apple’s iOS 27.2 Siri overhaul, Tencent’s open-source Hy-SimulMT-30B speech translation, and new benchmarks running ternary 30B models and 400 tok/s clusters on legacy GPUs. Show Notes / Topics Covered: Infrastructure & Financing: Wall Street banks structure Broadcom’s $63B compute facility as aircraft-style leases; Verizon anchors enterprise AI fabrics; and helium joins the US Critical Materials list as a vital fab dependency. Security & Incident Response: Cloudflare exposes and patches a GLM-5.3 multi-tenant KV-cache leak in 15 hours; CodeRabbit shifts security from static scanners to live interactive fix loops with GPT-6.1 Sol; Greptile gives GPT-6 Astra browser tools for live bug hunts. Frontier Models & Math: OpenAI refutes the Exponential Time Hypothesis with Lean formal verification, debuts Codex Ultrafast for infrastructure debugging, and launches GPT-6.1 Terra to halve mid-tier pricing. Local & Edge Compute: Hobbyists hit 400 tok/s on triple V100s; ternary Nemotron 30B unlocks 368k context on 12GB GPUs; Embedl runs Qwen3.8-27B at 40 tok/s on Jetson Thor; and Hob launches an offline desktop agent running Gemma 4 and gpt-oss privately.false00:33:06full<![CDATA[Anthropic's IPO Filing, Meta's Financing Plans, and AI-RAN | Latest in AI — October 26, 2026 (Midday Edition)]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/2591ef39-c4f6-4910-8ced-af4830b1b93d2591ef39-c4f6-4910-8ced-af4830b1b93dMon, 26 Oct 2026 20:34:08 GMT2020We examine the reality behind AI's massive capital demands, breaking down Anthropic's proposed IPO filing numbers and Meta's expansive multi-stage financing plan. Plus, a look at recent telecom milestones from Nvidia, Nokia, and mobile operators testing AI-RAN infrastructure.

]]>Dante MartinWe examine the reality behind AI's massive capital demands, breaking down Anthropic's proposed IPO filing numbers and Meta's expansive multi-stage financing plan. Plus, a look at recent telecom milestones from Nvidia, Nokia, and mobile operators testing AWe examine the reality behind AI's massive capital demands, breaking down Anthropic's proposed IPO filing numbers and Meta's expansive multi-stage financing plan. Plus, a look at recent telecom milestones from Nvidia, Nokia, and mobile operators testing AI-RAN infrastructure.false00:27:31full<![CDATA[The $95 Billion Paradox: Why AI Gets Cheaper as the Stakes Get Bigger | Latest in AI — October 26, 2026 (Morning Edition)]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/a5c25284-b70c-484d-a1e1-4ef1cd8b6772a5c25284-b70c-484d-a1e1-4ef1cd8b6772Mon, 26 Oct 2026 15:41:43 GMT1919Dante MartinDante Martin’s AI voice clone and Jenn Xeno trace the money, hardware and trust constraints behind 17 AI developments: Anthropic’s IPO filing, Meta’s proposed $95B financing plan, the economics of cheaper AI, TSMC and European AI infrastructure, AKV agentDante Martin’s AI voice clone and Jenn Xeno trace the money, hardware and trust constraints behind 17 AI developments: Anthropic’s IPO filing, Meta’s proposed $95B financing plan, the economics of cheaper AI, TSMC and European AI infrastructure, AKV agent caching, Tencent translation, live 5G optimization, Toyota robotics, autonomous driving, AI hurricane forecasts, Amazon Bee, cybersecurity and AI copyright. Source links and editorial corrections are documented in the accompanying production record.false00:56:08full<![CDATA[Latest in AI — Oct 25, 2026 (Midday Edition)]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/94ceb135-7e8f-4925-a5d5-6214ff298e6594ceb135-7e8f-4925-a5d5-6214ff298e65Sun, 25 Oct 2026 23:57:26 GMT1818Dante Martin and Jenn Xeno discuss how physical infrastructure constraints, soaring data center delay penalties, and specialized insurance policies are challenging the AI boom.

]]>Dante MartinDante Martin and Jenn Xeno discuss how physical infrastructure constraints, soaring data center delay penalties, and specialized insurance policies are challenging the AI boom.Dante Martin and Jenn Xeno discuss how physical infrastructure constraints, soaring data center delay penalties, and specialized insurance policies are challenging the AI boom.false00:26:59full<![CDATA[Latest in AI — Oct 25, 2026 (Morning Edition)]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/5edbcea3-215e-4433-856f-d063bc8bfafd5edbcea3-215e-4433-856f-d063bc8bfafdSun, 25 Oct 2026 15:32:17 GMT1717NVIDIA’s open-source Flora engine cuts robot video-labeling costs from about $90 to 72 cents per hour, while specialized models focus on the physical details robots need to act. The episode also examines security challenges as AI-generated code scales, a 33-billion-parameter model’s agentic coding performance, and AI moving onto everyday devices—from voice synthesizers to smart TVs.

]]>Dante MartinNVIDIA’s open-source Flora engine cuts robot video-labeling costs from about $90 to 72 cents per hour, while specialized models focus on the physical details robots need to act. The episode also examines security challenges as AI-generated code scales, a NVIDIA’s open-source Flora engine cuts robot video-labeling costs from about $90 to 72 cents per hour, while specialized models focus on the physical details robots need to act. The episode also examines security challenges as AI-generated code scales, a 33-billion-parameter model’s agentic coding performance, and AI moving onto everyday devices—from voice synthesizers to smart TVs.false00:25:33full<![CDATA[Latest in AI — Oct 24, 2026 (Evening Edition)]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/de0750e2-0530-418a-b517-44896bb0d67cde0750e2-0530-418a-b517-44896bb0d67cSun, 25 Oct 2026 02:35:39 GMT1616On the October 24, 2026 Evening Edition, Dante Martin’s Voice Clone and Jenn Xeno explore how cheaper AI is shifting the power to build—from OpenAI’s reported deal with Replit to AI-assisted software development, rigorous automated testing, Postgres bug discoveries, and the new zero-copy language Goose.

]]>Dante MartinOn the October 24, 2026 Evening Edition, Dante Martin’s Voice Clone and Jenn Xeno explore how cheaper AI is shifting the power to build—from OpenAI’s reported deal with Replit to AI-assisted software development, rigorous automated testing, Postgres bug dOn the October 24, 2026 Evening Edition, Dante Martin’s Voice Clone and Jenn Xeno explore how cheaper AI is shifting the power to build—from OpenAI’s reported deal with Replit to AI-assisted software development, rigorous automated testing, Postgres bug discoveries, and the new zero-copy language Goose.false00:28:25full<![CDATA[Latest in AI — Oct 24, 2026 (Afternoon Edition)]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/a8eeab0d-f1aa-47ca-adba-ee88036f50f6a8eeab0d-f1aa-47ca-adba-ee88036f50f6Sat, 24 Oct 2026 20:23:31 GMT1515In this Afternoon Edition, we explore AI’s move from chat windows into the physical world: Dream Labs’ world action model for unfamiliar robots and Axon’s AI-enabled body cameras. We also examine the limits, risks, and human oversight shaping AI as it enters high-stakes environments.

]]>Dante MartinIn this Afternoon Edition, we explore AI’s move from chat windows into the physical world: Dream Labs’ world action model for unfamiliar robots and Axon’s AI-enabled body cameras. We also examine the limits, risks, and human oversight shaping AI as it entIn this Afternoon Edition, we explore AI’s move from chat windows into the physical world: Dream Labs’ world action model for unfamiliar robots and Axon’s AI-enabled body cameras. We also examine the limits, risks, and human oversight shaping AI as it enters high-stakes environments.false00:33:21full<![CDATA[Latest in AI — Oct 24, 2026 (Morning Edition)]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/a712bd5e-feab-4192-b481-de5d285999daa712bd5e-feab-4192-b481-de5d285999daSat, 24 Oct 2026 19:09:26 GMT1414Three local-AI breakthroughs challenge the idea that frontier capabilities require massive data centers: a 35B model aces coding tasks on 16GB of VRAM, Qwen 3 27B matches a cloud flagship on a Korean document-retrieval benchmark, and a new quantization approach squeezes a huge model onto a 12GB GPU. The episode explores how smaller models and hardware optimizations could bring powerful AI to everyday computers.

]]>Dante MartinThree local-AI breakthroughs challenge the idea that frontier capabilities require massive data centers: a 35B model aces coding tasks on 16GB of VRAM, Qwen 3 27B matches a cloud flagship on a Korean document-retrieval benchmark, and a new quantization apThree local-AI breakthroughs challenge the idea that frontier capabilities require massive data centers: a 35B model aces coding tasks on 16GB of VRAM, Qwen 3 27B matches a cloud flagship on a Korean document-retrieval benchmark, and a new quantization approach squeezes a huge model onto a 12GB GPU. The episode explores how smaller models and hardware optimizations could bring powerful AI to everyday computers.false00:32:37full<![CDATA[Latest in AI — Oct 23, 2026 (Evening Edition)]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/ab5e77e6-902c-4a6e-97bd-2788aa09cf06ab5e77e6-902c-4a6e-97bd-2788aa09cf06Sat, 24 Oct 2026 01:51:03 GMT1313Dante MartinA look at AI moving toward more natural, personalized collaboration: Block’s Dessa brings overlapping, expressive speech interaction, while the open-source mini AGI project aims to help local models learn personal preferences without forgetting prior knowA look at AI moving toward more natural, personalized collaboration: Block’s Dessa brings overlapping, expressive speech interaction, while the open-source mini AGI project aims to help local models learn personal preferences without forgetting prior knowledge. The episode also examines how fast-moving AI software is reshaping hardware supply chains.false00:28:01full<![CDATA[Latest in AI — Oct 23, 2026 (Afternoon Edition)]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/ea5d694f-0507-4760-9df2-31a0cbf02162ea5d694f-0507-4760-9df2-31a0cbf02162Fri, 23 Oct 2026 21:11:32 GMT1212Open-weight models are closing the gap with proprietary AI as smaller, specialized systems become cheaper and easier to run locally. Dante Martin’s Voice Clone and Jenn Xeno explore benchmark claims, decision models, model compression, and the broader shift toward efficient AI—then trace what it could mean for hardware, enterprise software, and real-world applications.

]]>Dante MartinOpen-weight models are closing the gap with proprietary AI as smaller, specialized systems become cheaper and easier to run locally. Dante Martin’s Voice Clone and Jenn Xeno explore benchmark claims, decision models, model compression, and the broader shiOpen-weight models are closing the gap with proprietary AI as smaller, specialized systems become cheaper and easier to run locally. Dante Martin’s Voice Clone and Jenn Xeno explore benchmark claims, decision models, model compression, and the broader shift toward efficient AI—then trace what it could mean for hardware, enterprise software, and real-world applications.false00:30:14full<![CDATA[Latest in AI — Oct 23, 2026 (Morning Edition)]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/95378999-dd40-47fc-899a-9f522058e1f295378999-dd40-47fc-899a-9f522058e1f2Fri, 23 Oct 2026 14:27:46 GMT1111How does AI move from impressive demos into everyday work? This episode examines Uber’s rollout of ChatGPT Work, OpenAI’s hands-on deployment teams, and the productivity gains companies report—then follows the need for faster edge models, the infrastructure powering AI at scale, and a biological approach to AI’s energy demands.

]]>Dante MartinHow does AI move from impressive demos into everyday work? This episode examines Uber’s rollout of ChatGPT Work, OpenAI’s hands-on deployment teams, and the productivity gains companies report—then follows the need for faster edge models, the infrastructuHow does AI move from impressive demos into everyday work? This episode examines Uber’s rollout of ChatGPT Work, OpenAI’s hands-on deployment teams, and the productivity gains companies report—then follows the need for faster edge models, the infrastructure powering AI at scale, and a biological approach to AI’s energy demands.false00:29:30full<![CDATA[Latest in AI — Oct 22, 2026 (Evening Edition)]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/d4bb2efd-ff94-41ec-937d-153825c91962d4bb2efd-ff94-41ec-937d-153825c91962Fri, 23 Oct 2026 01:51:48 GMT1010AI is moving from chat to real-world action. We explore a16z’s pivot toward AI, robotics, and machine-economy infrastructure, then unpack OpenAI’s fast, machine-readable Decisions API and what low-latency AI could enable.

]]>Dante MartinAI is moving from chat to real-world action. We explore a16z’s pivot toward AI, robotics, and machine-economy infrastructure, then unpack OpenAI’s fast, machine-readable Decisions API and what low-latency AI could enable.AI is moving from chat to real-world action. We explore a16z’s pivot toward AI, robotics, and machine-economy infrastructure, then unpack OpenAI’s fast, machine-readable Decisions API and what low-latency AI could enable.false00:25:40full<![CDATA[AI Gets Physical: Enterprise Rollouts and the Race to the Edge]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/5a8b6cd5-6283-4eca-8e1a-d7b6b55190bf5a8b6cd5-6283-4eca-8e1a-d7b6b55190bfThu, 22 Oct 2026 20:21:46 GMT99AI is moving from the cloud into everyday work and real-world devices. We explore Uber’s company-wide ChatGPT rollout and OpenAI’s embedded engineering playbook, then look at the race to make AI faster at the edge—where latency can make or break natural conversations and real-time applications.

]]>Dante MartinAI is moving from the cloud into everyday work and real-world devices. We explore Uber’s company-wide ChatGPT rollout and OpenAI’s embedded engineering playbook, then look at the race to make AI faster at the edge—where latency can make or break natural cAI is moving from the cloud into everyday work and real-world devices. We explore Uber’s company-wide ChatGPT rollout and OpenAI’s embedded engineering playbook, then look at the race to make AI faster at the edge—where latency can make or break natural conversations and real-time applications.false00:23:47full<![CDATA[Latest in AI — Oct 22, 2026 (Morning Edition)]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/1c4bdb8c-ded3-4e87-a098-82ae037389f91c4bdb8c-ded3-4e87-a098-82ae037389f9Thu, 22 Oct 2026 14:26:05 GMT88AI is moving from chat boxes to agents that act: we explore Claude Duet’s permission-first approach, Meta Muse’s adoption and shopping activity, and the infrastructure costs behind the shift. The episode also examines the trust, safety, and accountability systems needed as agents take on real-world work.

]]>Dante MartinAI is moving from chat boxes to agents that act: we explore Claude Duet’s permission-first approach, Meta Muse’s adoption and shopping activity, and the infrastructure costs behind the shift. The episode also examines the trust, safety, and accountabilityAI is moving from chat boxes to agents that act: we explore Claude Duet’s permission-first approach, Meta Muse’s adoption and shopping activity, and the infrastructure costs behind the shift. The episode also examines the trust, safety, and accountability systems needed as agents take on real-world work.false00:30:30full<![CDATA[Trust, Trillions, and the Rise of AI Agents]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/a3e83db9-99bb-45c9-836a-d3344768bdcfa3e83db9-99bb-45c9-836a-d3344768bdcfThu, 22 Oct 2026 01:28:51 GMT77Dante MartinAnthropic’s Claude Duet puts approval-gated autonomy at the center of a trust-first assistant, while Meta’s massive infrastructure spending and Muse shopping data point to a growing agent economy. The episode also begins exploring how AI agents could acceAnthropic’s Claude Duet puts approval-gated autonomy at the center of a trust-first assistant, while Meta’s massive infrastructure spending and Muse shopping data point to a growing agent economy. The episode also begins exploring how AI agents could accelerate biological research through a whole-brain CRISPR atlas.false00:27:16full<![CDATA[Latest in AI — Oct 21, 2026 (Afternoon Edition)]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/32f42d5d-d0ec-4e23-868e-6ffdb8273c0d32f42d5d-d0ec-4e23-868e-6ffdb8273c0dWed, 21 Oct 2026 21:27:10 GMT66From Demis Hassabis’s newly compressed AGI timeline and the proposed Einstein test to Recursive’s AI-built coding model, this episode examines how automated research is accelerating AI development. It also explores a startup’s ambitious plan to ease the memory bottleneck in AI hardware—and what faster progress could mean for researchers, businesses, and institutions.

]]>Dante MartinFrom Demis Hassabis’s newly compressed AGI timeline and the proposed Einstein test to Recursive’s AI-built coding model, this episode examines how automated research is accelerating AI development. It also explores a startup’s ambitious plan to ease the mFrom Demis Hassabis’s newly compressed AGI timeline and the proposed Einstein test to Recursive’s AI-built coding model, this episode examines how automated research is accelerating AI development. It also explores a startup’s ambitious plan to ease the memory bottleneck in AI hardware—and what faster progress could mean for researchers, businesses, and institutions.false00:28:06full<![CDATA[Latest in AI — Oct 21, 2026 (Morning Edition)]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/7e8690fb-2046-4752-93fb-94068a8a27657e8690fb-2046-4752-93fb-94068a8a2765Wed, 21 Oct 2026 17:11:11 GMT55We examine the forces reshaping AI in October 2026: Anthropic’s explosive revenue and reported losses, the growing importance of compute and energy, and AI’s potential to modernize legacy banking software. The episode also explores what near-perfect, bit-for-bit code migration could mean for systems that underpin everyday transactions.

]]>Dante MartinWe examine the forces reshaping AI in October 2026: Anthropic’s explosive revenue and reported losses, the growing importance of compute and energy, and AI’s potential to modernize legacy banking software. The episode also explores what near-perfect, bit-We examine the forces reshaping AI in October 2026: Anthropic’s explosive revenue and reported losses, the growing importance of compute and energy, and AI’s potential to modernize legacy banking software. The episode also explores what near-perfect, bit-for-bit code migration could mean for systems that underpin everyday transactions.false00:27:46full<![CDATA[Latest in AI — Oct 20, 2026 (Evening Edition)]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/37e469e5-9757-4127-b4c2-0b748f00706337e469e5-9757-4127-b4c2-0b748f007063Wed, 21 Oct 2026 02:55:17 GMT44This Evening Edition explores AI’s economic and scientific implications, from autonomous discovery and unprecedented funding for compute to the changing value of human expertise. The hosts also examine new approaches to model development and why adaptability may matter more than experience with yesterday’s tools.

]]>Dante MartinThis Evening Edition explores AI’s economic and scientific implications, from autonomous discovery and unprecedented funding for compute to the changing value of human expertise. The hosts also examine new approaches to model development and why adaptabilThis Evening Edition explores AI’s economic and scientific implications, from autonomous discovery and unprecedented funding for compute to the changing value of human expertise. The hosts also examine new approaches to model development and why adaptability may matter more than experience with yesterday’s tools.false00:26:32full<![CDATA[AI’s Next Frontier: Smarter Cell Towers, Scarce Chips, Cheaper Inference]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/b9ac7164-b830-423b-a099-5f1240a3e693b9ac7164-b830-423b-a099-5f1240a3e693Tue, 20 Oct 2026 21:11:55 GMT33From Nvidia-powered cell towers and Ericsson’s custom AI chips to China’s hunt for RTX Pro 5500 cards, this Afternoon Edition tracks the hardware race pushing AI into communications networks and beyond. Plus, how software workarounds are helping developers stretch scarce compute and drive down inference costs.

]]>Dante MartinFrom Nvidia-powered cell towers and Ericsson’s custom AI chips to China’s hunt for RTX Pro 5500 cards, this Afternoon Edition tracks the hardware race pushing AI into communications networks and beyond. Plus, how software workarounds are helping developerFrom Nvidia-powered cell towers and Ericsson’s custom AI chips to China’s hunt for RTX Pro 5500 cards, this Afternoon Edition tracks the hardware race pushing AI into communications networks and beyond. Plus, how software workarounds are helping developers stretch scarce compute and drive down inference costs.false00:26:16full<![CDATA[When Frontier AI Gets Cheap: Models, Inference, and Agents]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/157ff052-b17e-4b54-8d62-7352ac365f00157ff052-b17e-4b54-8d62-7352ac365f00Tue, 20 Oct 2026 18:50:28 GMT22Frontier-level AI is getting dramatically cheaper, from a leaked Microsoft model swap to DeepSeek’s open-source inference engine and low-cost model performance. We explore how those shifts could reshape developer workflows, agent systems, and access to powerful AI.

]]>Dante MartinFrontier-level AI is getting dramatically cheaper, from a leaked Microsoft model swap to DeepSeek’s open-source inference engine and low-cost model performance. We explore how those shifts could reshape developer workflows, agent systems, and access to poFrontier-level AI is getting dramatically cheaper, from a leaked Microsoft model swap to DeepSeek’s open-source inference engine and low-cost model performance. We explore how those shifts could reshape developer workflows, agent systems, and access to powerful AI.false00:27:09full<![CDATA[AI Clones Office, Listens In, and Maps a Path to Dodo Revival]]>https://latest-in-ai-6g5ihs.jellypod.com/episodes/4f134ee1-1b6c-4759-b443-4c7a5b02a8ae4f134ee1-1b6c-4759-b443-4c7a5b02a8aeMon, 19 Oct 2026 20:28:44 GMT11Dante MartinA solo developer clones Office apps with AI, Amazon bets on an ambient listening bracelet, and AI-powered genomics aims to help bring endangered species back from the brink.A solo developer clones Office apps with AI, Amazon bets on an ambient listening bracelet, and AI-powered genomics aims to help bring endangered species back from the brink.false00:07:44full