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<url><loc>https://aiholics.com/speech-to-speech-models-explained/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-19T03:10:14+00:00</news:publication_date><news:title>Speech-to-speech models: How voice AI listens and talks without turning speech into text</news:title></news:news></url>
<url><loc>https://aiholics.com/google-harness2-self-improving-ai-agents-open-source/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-19T03:10:03+00:00</news:publication_date><news:title>Google’s Harness2 lets a weaker AI model beat a stronger one by rewriting its own setup</news:title></news:news></url>
<url><loc>https://aiholics.com/anthropic-public-benefit-fund-5-percent-shares/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-19T00:59:31+00:00</news:publication_date><news:title>Anthropic puts 5% of its shares into a public benefit fund, with more to follow</news:title></news:news></url>
<url><loc>https://aiholics.com/nvfp4-4-bit-format-explained/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-18T20:56:56+00:00</news:publication_date><news:title>NVFP4: How 4-bit numbers let huge AI models fit in far less memory</news:title></news:news></url>
<url><loc>https://aiholics.com/ai-agent-memory-how-assistants-remember/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-18T18:45:46+00:00</news:publication_date><news:title>AI agent memory: How a chatbot learns to remember you between conversations</news:title></news:news></url>
<url><loc>https://aiholics.com/cpu-bottleneck-agentic-ai-explained/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-18T16:41:55+00:00</news:publication_date><news:title>The CPU bottleneck in agentic AI: Why AI agents keep processors busy while GPUs wait</news:title></news:news></url>
<url><loc>https://aiholics.com/time-series-foundation-models-explained/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-18T14:38:02+00:00</news:publication_date><news:title>Time-series foundation models: How one pretrained model forecasts data it has never seen</news:title></news:news></url>
<url><loc>https://aiholics.com/new-ai-models-this-week-2026-10-18/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-18T14:03:20+00:00</news:publication_date><news:title>New AI models this week: Meta’s Muse Wonder and Google’s Gemini 4 Argon</news:title></news:news></url>
<url><loc>https://aiholics.com/speaker-diarization-who-spoke-when/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-18T12:03:53+00:00</news:publication_date><news:title>Speaker diarization: How AI works out who said what in a recording</news:title></news:news></url>
<url><loc>https://aiholics.com/private-cloud-compute-apple-cloud-ai-privacy/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-18T10:00:33+00:00</news:publication_date><news:title>Private Cloud Compute: How Apple tries to make cloud AI requests unreadable to Apple</news:title></news:news></url>
<url><loc>https://aiholics.com/sim-to-real-transfer-explained/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-18T04:56:48+00:00</news:publication_date><news:title>Sim-to-real transfer: How robots learn in simulation and then work in the real world</news:title></news:news></url>
<url><loc>https://aiholics.com/on-device-ai-small-language-models-explained/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-18T00:48:02+00:00</news:publication_date><news:title>On-device AI: How small language models run on your phone without the cloud</news:title></news:news></url>
<url><loc>https://aiholics.com/mixture-of-experts-explained/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-17T20:41:02+00:00</news:publication_date><news:title>Mixture of experts: How a huge model uses only a small part of itself per token</news:title></news:news></url>
<url><loc>https://aiholics.com/kv-cache-compression-explained/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-17T18:39:41+00:00</news:publication_date><news:title>KV cache compression: How LLMs shrink the memory that long prompts demand</news:title></news:news></url>
<url><loc>https://aiholics.com/looped-language-models-explained/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-17T16:08:25+00:00</news:publication_date><news:title>Looped language models: How reusing layers lets a small model think longer</news:title></news:news></url>
<url><loc>https://aiholics.com/chatgpt-shared-team-tasks-space-dots/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-17T13:45:59+00:00</news:publication_date><news:title>OpenAI lets whole teams hand recurring work to ChatGPT, on a schedule or a trigger</news:title></news:news></url>
<url><loc>https://aiholics.com/nemotron-3-5-super-vl-amazon-sagemaker-jumpstart/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-17T13:12:03+00:00</news:publication_date><news:title>Nvidia’s 120B vision model runs on 12B active parameters, now one click away on AWS</news:title></news:news></url>
<url><loc>https://aiholics.com/nvidia-nemotron-labs-dory-4b-looped-model/</loc><news:news><news:publication><news:name>Aiholics</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-17T12:33:43+00:00</news:publication_date><news:title>Nvidia’s Dory 4B reruns its own layers to think harder, and its weights are open</news:title></news:news></url>
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