<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Articles &amp; Analysis — The Latent Daily</title><description>Deep dives, analysis, features and opinion on artificial intelligence.</description><link>https://thelatentdaily.com/</link><language>en-us</language><atom:link href="https://thelatentdaily.com/rss/articles.xml" rel="self" type="application/rss+xml"/><item><title>Preview, beta, GA: how AI product launches actually work</title><link>https://thelatentdaily.com/articles/how-ai-product-launches-work/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-ai-product-launches-work/</guid><description>Waitlists, research previews, staged rollouts and general availability: a guide to the stages every AI product goes through and what each one means for users.</description><pubDate>Sun, 18 Oct 2026 05:59:00 GMT</pubDate><category>Product Launches</category><category>product-launches</category><category>explainer</category><category>enterprise</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How Big Tech plays the AI game: five strategies compared</title><link>https://thelatentdaily.com/articles/big-tech-ai-strategies-compared/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/big-tech-ai-strategies-compared/</guid><description>Microsoft, Google, Meta, Amazon and Apple are all betting on AI, but in very different ways. A guide to their partnerships, models, chips and distribution.</description><pubDate>Sun, 18 Oct 2026 05:58:00 GMT</pubDate><category>Big Tech</category><category>big-tech</category><category>microsoft</category><category>google</category><category>meta</category><category>amazon</category><category>apple</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Why Google, Amazon, Microsoft and Meta design their own AI chips</title><link>https://thelatentdaily.com/articles/why-big-tech-builds-its-own-ai-chips/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/why-big-tech-builds-its-own-ai-chips/</guid><description>TPU, Trainium, Maia and MTIA: the biggest AI buyers are designing custom silicon. Here is why, what these chips do, and why NVIDIA still dominates.</description><pubDate>Sun, 18 Oct 2026 05:57:00 GMT</pubDate><category>Big Tech</category><category>big-tech</category><category>chips</category><category>nvidia</category><category>google</category><category>amazon</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>From seed to mega-round: how AI startup funding works</title><link>https://thelatentdaily.com/articles/how-ai-startup-funding-works/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-ai-startup-funding-works/</guid><description>Why AI startups raise unusually large rounds, what seed, Series A and growth rounds mean, and how compute costs change the economics of venture funding.</description><pubDate>Sun, 18 Oct 2026 05:56:00 GMT</pubDate><category>Startups &amp; Funding</category><category>startups-funding</category><category>explainer</category><category>venture-capital</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Compute is the new capital: why AI startups raise GPUs, not just cash</title><link>https://thelatentdaily.com/articles/compute-is-the-new-capital-ai-startups/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/compute-is-the-new-capital-ai-startups/</guid><description>For AI startups, access to GPUs can matter more than money. How cloud deals, credits and chip reservations shape who can build frontier models.</description><pubDate>Sun, 18 Oct 2026 05:55:00 GMT</pubDate><category>Startups &amp; Funding</category><category>startups-funding</category><category>compute</category><category>gpus</category><category>cloud</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>A practical framework for rolling out generative AI in a company</title><link>https://thelatentdaily.com/articles/framework-for-enterprise-ai-rollout/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/framework-for-enterprise-ai-rollout/</guid><description>Governance, use-case selection, pilots, measurement and scale: a step-by-step framework for introducing generative AI at work without losing control.</description><pubDate>Sun, 18 Oct 2026 05:54:00 GMT</pubDate><category>Business &amp; Enterprise</category><category>enterprise</category><category>governance</category><category>risk-management</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Build, buy or fine-tune? How companies choose their AI approach</title><link>https://thelatentdaily.com/articles/build-buy-or-fine-tune-enterprise-ai/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/build-buy-or-fine-tune-enterprise-ai/</guid><description>Off-the-shelf assistants, API integrations, retrieval-augmented generation, fine-tuning or your own model: the trade-offs in cost, control and time to value.</description><pubDate>Sun, 18 Oct 2026 05:53:00 GMT</pubDate><category>Business &amp; Enterprise</category><category>enterprise</category><category>rag</category><category>fine-tuning</category><category>strategy</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Why AI is driving record spending on data centers and power</title><link>https://thelatentdaily.com/articles/ai-data-center-capex-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-data-center-capex-explained/</guid><description>Chips, buildings, cooling and electricity: what AI infrastructure spending pays for, why it keeps growing, and what the energy demand projections say.</description><pubDate>Sun, 18 Oct 2026 05:52:00 GMT</pubDate><category>Markets &amp; Economy</category><category>markets</category><category>data-centers</category><category>energy</category><category>capex</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Will AI boost productivity? What the economic research says</title><link>https://thelatentdaily.com/articles/ai-and-productivity-what-economists-say/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-and-productivity-what-economists-say/</guid><description>Field experiments show large gains for some workers; macro estimates are far more cautious. A plain-English guide to the evidence on AI and productivity.</description><pubDate>Sun, 18 Oct 2026 05:51:00 GMT</pubDate><category>Markets &amp; Economy</category><category>economy</category><category>productivity</category><category>research</category><category>future-of-work</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Cloud, chips and distribution: the anatomy of an AI partnership</title><link>https://thelatentdaily.com/articles/anatomy-of-ai-partnerships/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/anatomy-of-ai-partnerships/</guid><description>Why AI labs sign deals with cloud providers, chipmakers and device makers, what each side gets, and the patterns behind the biggest partnerships in AI.</description><pubDate>Sun, 18 Oct 2026 05:50:00 GMT</pubDate><category>Partnerships &amp; Deals</category><category>partnerships</category><category>big-tech</category><category>cloud</category><category>distribution</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Why AI companies are signing content deals with publishers</title><link>https://thelatentdaily.com/articles/ai-content-licensing-deals-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-content-licensing-deals-explained/</guid><description>News archives, forums and media libraries are being licensed to AI developers. What these deals include, why they happen and how they relate to copyright fights.</description><pubDate>Sun, 18 Oct 2026 05:49:00 GMT</pubDate><category>Partnerships &amp; Deals</category><category>partnerships</category><category>copyright</category><category>publishers</category><category>training-data</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How transformers work, explained without the math</title><link>https://thelatentdaily.com/articles/how-transformers-work-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-transformers-work-explained/</guid><description>The transformer architecture behind ChatGPT, Claude and Gemini, explained step by step: tokens, embeddings, attention and why it changed AI in 2017.</description><pubDate>Sun, 18 Oct 2026 05:44:00 GMT</pubDate><category>Explainers</category><category>explainer</category><category>transformer</category><category>attention</category><category>llms</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How diffusion models turn noise into images</title><link>https://thelatentdaily.com/articles/how-diffusion-models-generate-images/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-diffusion-models-generate-images/</guid><description>Stable Diffusion, FLUX and most image generators rely on diffusion. A clear explanation of forward noising, learned denoising, text guidance and latent space.</description><pubDate>Sun, 18 Oct 2026 05:43:00 GMT</pubDate><category>Explainers</category><category>explainer</category><category>diffusion</category><category>image-generation</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>A free learning path to understand AI, from zero to building</title><link>https://thelatentdaily.com/articles/free-learning-path-to-understand-ai/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/free-learning-path-to-understand-ai/</guid><description>A step-by-step path through the best free AI courses — from concepts for beginners to machine learning foundations and hands-on work with language models.</description><pubDate>Sun, 18 Oct 2026 05:40:00 GMT</pubDate><category>Courses &amp; Learning Paths</category><category>courses</category><category>learning-path</category><category>beginners</category><category>free</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Learning path for developers who want to build with LLMs</title><link>https://thelatentdaily.com/articles/learning-path-for-developers-building-with-llms/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/learning-path-for-developers-building-with-llms/</guid><description>From your first API call to retrieval, tool use, evaluation and deployment: an ordered path for software developers moving into AI engineering.</description><pubDate>Sun, 18 Oct 2026 05:39:00 GMT</pubDate><category>Courses &amp; Learning Paths</category><category>courses</category><category>learning-path</category><category>developers</category><category>llms</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>The annual reports that explain the state of AI</title><link>https://thelatentdaily.com/articles/essential-annual-ai-reports/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/essential-annual-ai-reports/</guid><description>Where to find reliable data on AI progress, investment, energy and policy: a guide to the most useful annual reports and what each one is best for.</description><pubDate>Sun, 18 Oct 2026 05:38:00 GMT</pubDate><category>Books &amp; Reports</category><category>reports</category><category>data</category><category>research</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Five classic books to understand AI properly</title><link>https://thelatentdaily.com/articles/classic-books-to-understand-ai/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/classic-books-to-understand-ai/</guid><description>The textbooks and essays that shaped how researchers think about artificial intelligence, from search and logic to deep learning and reinforcement learning.</description><pubDate>Sun, 18 Oct 2026 05:37:00 GMT</pubDate><category>Books &amp; Reports</category><category>books</category><category>learning</category><category>deep-learning</category><category>reinforcement-learning</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>20 AI terms everyone should know, explained in one line each</title><link>https://thelatentdaily.com/articles/ai-terms-everyone-should-know/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-terms-everyone-should-know/</guid><description>From tokens and parameters to RAG, fine-tuning and hallucinations: a quick, plain-English glossary of the AI words you will meet in every news story.</description><pubDate>Sun, 18 Oct 2026 05:36:00 GMT</pubDate><category>Glossary</category><category>glossary</category><category>beginners</category><category>explainer</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Parameters, tokens, context windows: the numbers in AI announcements explained</title><link>https://thelatentdaily.com/articles/numbers-in-ai-announcements-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/numbers-in-ai-announcements-explained/</guid><description>What &quot;405B parameters&quot;, &quot;1M-token context&quot; and &quot;$3 per million tokens&quot; really mean, and which numbers actually matter when you compare AI models.</description><pubDate>Sun, 18 Oct 2026 05:35:00 GMT</pubDate><category>Glossary</category><category>glossary</category><category>explainer</category><category>models</category><category>pricing</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Seven common myths about AI, debunked</title><link>https://thelatentdaily.com/articles/seven-myths-about-ai-debunked/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/seven-myths-about-ai-debunked/</guid><description>No, AI doesn&apos;t look things up in a database, and no, bigger is not always better. Seven widespread misconceptions about today&apos;s AI, and what is actually true.</description><pubDate>Sun, 18 Oct 2026 05:32:00 GMT</pubDate><category>FAQ &amp; Myths</category><category>myths</category><category>beginners</category><category>llms</category><category>explainer</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Does AI &quot;understand&quot;? Common questions about language models answered</title><link>https://thelatentdaily.com/articles/does-ai-understand-common-questions-answered/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/does-ai-understand-common-questions-answered/</guid><description>Do chatbots think, remember, learn from you or have opinions? Clear answers to the questions people ask most often about how AI language models work.</description><pubDate>Sun, 18 Oct 2026 05:31:00 GMT</pubDate><category>FAQ &amp; Myths</category><category>faq</category><category>llms</category><category>beginners</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>A short history of AI: from Turing to transformers</title><link>https://thelatentdaily.com/articles/short-history-of-ai-turing-to-transformers/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/short-history-of-ai-turing-to-transformers/</guid><description>Seventy-five years of artificial intelligence in one read: the Dartmouth workshop, two AI winters, the deep learning breakthrough and the arrival of ChatGPT.</description><pubDate>Sun, 18 Oct 2026 05:30:00 GMT</pubDate><category>History &amp; Timeline</category><category>history</category><category>timeline</category><category>explainer</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>The deep learning revolution in ten milestones (2012–2022)</title><link>https://thelatentdaily.com/articles/deep-learning-revolution-ten-milestones/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/deep-learning-revolution-ten-milestones/</guid><description>AlexNet, word2vec, GANs, ResNet, AlphaGo, transformers, BERT, GPT-3, AlphaFold and ChatGPT: the ten results that turned deep learning into today&apos;s AI.</description><pubDate>Sun, 18 Oct 2026 05:29:00 GMT</pubDate><category>History &amp; Timeline</category><category>history</category><category>deep-learning</category><category>timeline</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to read an AI research paper (and spot the hype)</title><link>https://thelatentdaily.com/articles/how-to-read-an-ai-research-paper/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-read-an-ai-research-paper/</guid><description>A practical method for reading machine learning papers: what to read first, how to judge experiments and benchmarks, and the red flags that signal overclaiming.</description><pubDate>Sun, 18 Oct 2026 05:26:00 GMT</pubDate><category>Research Papers</category><category>research</category><category>papers</category><category>how-to</category><category>benchmarks</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How AI benchmarks work — and why they keep &quot;saturating&quot;</title><link>https://thelatentdaily.com/articles/how-ai-benchmarks-work-and-why-they-saturate/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-ai-benchmarks-work-and-why-they-saturate/</guid><description>MMLU, SWE-bench, ARC and LMArena: how AI benchmarks are built, what their scores really measure, why models quickly max them out and how to read leaderboards.</description><pubDate>Sun, 18 Oct 2026 05:24:00 GMT</pubDate><category>Benchmarks &amp; Leaderboards</category><category>benchmarks</category><category>evaluation</category><category>leaderboards</category><category>explainer</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How we review AI tools: The Latent Daily testing methodology</title><link>https://thelatentdaily.com/articles/how-we-review-ai-tools-methodology/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-we-review-ai-tools-methodology/</guid><description>The criteria, test tasks and scoring rules we use to evaluate AI tools and models, how ratings are assigned, and what can and cannot influence a review.</description><pubDate>Sun, 18 Oct 2026 05:07:00 GMT</pubDate><category>Reviews</category><category>reviews</category><category>methodology</category><category>editorial-standards</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to choose an AI writing assistant: a buyer&apos;s checklist</title><link>https://thelatentdaily.com/articles/how-to-choose-an-ai-writing-assistant-checklist/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-choose-an-ai-writing-assistant-checklist/</guid><description>Quality, voice control, sources, integrations, privacy and price: a practical checklist and test plan for choosing an AI writing tool for yourself or a team.</description><pubDate>Sun, 18 Oct 2026 05:06:00 GMT</pubDate><category>Reviews</category><category>reviews</category><category>writing</category><category>buying-guide</category><category>productivity</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>ChatGPT vs Claude vs Gemini: how the big AI assistants differ</title><link>https://thelatentdaily.com/articles/chatgpt-vs-claude-vs-gemini-how-to-compare/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/chatgpt-vs-claude-vs-gemini-how-to-compare/</guid><description>The three leading AI assistants compared on what actually differs: ecosystems, strengths, context handling, privacy controls and pricing — plus how to test them yourself.</description><pubDate>Sun, 18 Oct 2026 05:05:00 GMT</pubDate><category>Comparisons / Versus</category><category>comparison</category><category>chatbots</category><category>openai</category><category>anthropic</category><category>google</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Open-weight vs closed AI models: a practical comparison</title><link>https://thelatentdaily.com/articles/open-weight-vs-closed-ai-models-compared/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/open-weight-vs-closed-ai-models-compared/</guid><description>When should you self-host an open model like Llama, Mistral or Qwen, and when is a closed API better? Cost, quality, privacy, control and licensing compared.</description><pubDate>Sun, 18 Oct 2026 05:04:00 GMT</pubDate><category>Comparisons / Versus</category><category>comparison</category><category>open-source</category><category>open-weights</category><category>deployment</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How AI pricing works: subscriptions, tokens and credits explained</title><link>https://thelatentdaily.com/articles/how-ai-pricing-works-tokens-subscriptions-credits/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-ai-pricing-works-tokens-subscriptions-credits/</guid><description>Why AI tools charge per seat, per token or per credit, how input and output tokens are billed, and how to estimate what an AI feature or subscription will really cost.</description><pubDate>Sun, 18 Oct 2026 05:03:00 GMT</pubDate><category>Pricing &amp; Deals</category><category>pricing</category><category>tokens</category><category>explainer</category><category>costs</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to cut your AI API bill: caching, batching and model routing</title><link>https://thelatentdaily.com/articles/how-to-cut-your-ai-api-bill/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-cut-your-ai-api-bill/</guid><description>Practical techniques to reduce LLM API costs without hurting quality: prompt caching, batch APIs, smaller models, routing, shorter contexts and output limits.</description><pubDate>Sun, 18 Oct 2026 05:02:00 GMT</pubDate><category>Pricing &amp; Deals</category><category>pricing</category><category>cost-optimization</category><category>apis</category><category>developers</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to keep up with AI model and tool updates without drowning</title><link>https://thelatentdaily.com/articles/how-to-keep-up-with-ai-model-updates/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-keep-up-with-ai-model-updates/</guid><description>New models and features ship every week. A practical system to track the AI changelogs that matter to you, using RSS, release notes and a monthly review habit.</description><pubDate>Sun, 18 Oct 2026 05:01:00 GMT</pubDate><category>Changelogs &amp; Updates</category><category>changelogs</category><category>productivity</category><category>rss</category><category>developers</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Model deprecations explained: what happens when an AI model is retired</title><link>https://thelatentdaily.com/articles/ai-model-deprecations-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-model-deprecations-explained/</guid><description>AI providers regularly retire older models. How deprecation timelines work, what breaks when a model is shut down and how to plan migrations without surprises.</description><pubDate>Sun, 18 Oct 2026 05:00:00 GMT</pubDate><category>Changelogs &amp; Updates</category><category>changelogs</category><category>deprecations</category><category>apis</category><category>developers</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Open-source alternatives to popular AI tools</title><link>https://thelatentdaily.com/articles/open-source-alternatives-to-popular-ai-tools/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/open-source-alternatives-to-popular-ai-tools/</guid><description>Free and open-source options for chat, image generation, transcription, automation and coding assistance — what they are, what you need to run them, and the trade-offs.</description><pubDate>Sun, 18 Oct 2026 04:59:00 GMT</pubDate><category>Alternatives</category><category>alternatives</category><category>open-source</category><category>local-ai</category><category>self-hosted</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Switching AI tools? How to evaluate an alternative before you move</title><link>https://thelatentdaily.com/articles/how-to-evaluate-an-ai-tool-alternative-before-switching/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-evaluate-an-ai-tool-alternative-before-switching/</guid><description>A step-by-step plan to compare a new AI tool with the one you use today: define success, run a side-by-side trial, check data migration, costs and exit options.</description><pubDate>Sun, 18 Oct 2026 04:58:00 GMT</pubDate><category>Alternatives</category><category>alternatives</category><category>buying-guide</category><category>enterprise</category><category>evaluation</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Vibe coding explained: building software by describing it — and the risks</title><link>https://thelatentdaily.com/articles/vibe-coding-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/vibe-coding-explained/</guid><description>What &quot;vibe coding&quot; means, how people build apps by talking to AI, where it works brilliantly, where it fails, and how to keep vibe-coded projects safe.</description><pubDate>Sun, 18 Oct 2026 04:56:00 GMT</pubDate><category>AI Coding</category><category>ai-coding</category><category>vibe-coding</category><category>no-code</category><category>security</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>What are AI agents? How they plan, use tools and take actions</title><link>https://thelatentdaily.com/articles/what-are-ai-agents-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/what-are-ai-agents-explained/</guid><description>AI agents go beyond chat: they plan, call tools, browse and act toward a goal. How the agent loop works, the main design patterns, real uses and the risks.</description><pubDate>Sun, 18 Oct 2026 04:55:00 GMT</pubDate><category>Agents &amp; Agentic AI</category><category>agents</category><category>agentic-ai</category><category>tool-use</category><category>explainer</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Knowledge distillation explained: how small AI models learn from big ones</title><link>https://thelatentdaily.com/articles/knowledge-distillation-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/knowledge-distillation-explained/</guid><description>Distillation trains a compact &quot;student&quot; model to imitate a large &quot;teacher&quot;. How it works, why it powers today&apos;s small models, and its legal and quality limits.</description><pubDate>Sun, 18 Oct 2026 04:48:00 GMT</pubDate><category>Fine-tuning &amp; Training</category><category>distillation</category><category>small-models</category><category>training</category><category>explainer</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>LLM-as-a-judge explained: using AI models to grade AI output</title><link>https://thelatentdaily.com/articles/llm-as-a-judge-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/llm-as-a-judge-explained/</guid><description>Language models can score other models&apos; answers at scale. How LLM-as-a-judge works, its known biases, and how to design rubrics and checks that make it reliable.</description><pubDate>Sun, 18 Oct 2026 04:42:00 GMT</pubDate><category>Evals &amp; Observability</category><category>evals</category><category>llm-as-a-judge</category><category>testing</category><category>research</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>10 open-source AI projects every developer should know</title><link>https://thelatentdaily.com/articles/open-source-ai-projects-every-developer-should-know/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/open-source-ai-projects-every-developer-should-know/</guid><description>From Hugging Face Transformers to llama.cpp, vLLM, Ollama, LangChain and ComfyUI: the open-source projects that form the backbone of today&apos;s AI development.</description><pubDate>Sun, 18 Oct 2026 04:41:00 GMT</pubDate><category>Open-source Projects of the Week</category><category>open-source</category><category>developers</category><category>tools</category><category>github</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to evaluate an open-source AI project before you depend on it</title><link>https://thelatentdaily.com/articles/how-to-evaluate-open-source-ai-project/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-evaluate-open-source-ai-project/</guid><description>Stars aren&apos;t enough. 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How direct-to-chip and immersion cooling work, their benefits for energy and water, and the trade-offs.</description><pubDate>Sun, 18 Oct 2026 04:36:00 GMT</pubDate><category>Data Centers &amp; Energy</category><category>data-centers</category><category>cooling</category><category>energy</category><category>infrastructure</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>What is an NPU? AI PCs and on-device AI explained</title><link>https://thelatentdaily.com/articles/what-is-an-npu-ai-pcs-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/what-is-an-npu-ai-pcs-explained/</guid><description>Neural processing units let laptops and phones run AI locally. What NPUs do, what &quot;40 TOPS&quot; means, which features use them and whether you need an AI PC.</description><pubDate>Sun, 18 Oct 2026 04:35:00 GMT</pubDate><category>AI PCs, Phones &amp; Devices</category><category>npu</category><category>ai-pc</category><category>devices</category><category>on-device-ai</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Humanoid robots explained: why companies are betting on human-shaped machines</title><link>https://thelatentdaily.com/articles/humanoid-robots-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/humanoid-robots-explained/</guid><description>Why humanoid robots are attracting huge investment, what they can and cannot do today, the role of AI foundation models, and the hurdles before they reach homes.</description><pubDate>Sun, 18 Oct 2026 04:34:00 GMT</pubDate><category>Robotics &amp; Humanoids</category><category>robotics</category><category>humanoids</category><category>embodied-ai</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How foundation models are changing robotics: vision-language-action models</title><link>https://thelatentdaily.com/articles/vision-language-action-models-robotics/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/vision-language-action-models-robotics/</guid><description>Robots that follow instructions like &quot;pick up the extinct animal&quot;: how vision-language-action models such as RT-2 connect web knowledge to physical actions.</description><pubDate>Sun, 18 Oct 2026 04:33:00 GMT</pubDate><category>Robotics &amp; Humanoids</category><category>robotics</category><category>vla</category><category>embodied-ai</category><category>research</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>The SAE levels of driving automation, explained (0 to 5)</title><link>https://thelatentdaily.com/articles/sae-levels-of-driving-automation-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/sae-levels-of-driving-automation-explained/</guid><description>What Level 2, Level 3 and Level 4 really mean, who is responsible for driving at each level, and why &quot;self-driving&quot; marketing often confuses drivers.</description><pubDate>Sun, 18 Oct 2026 04:32:00 GMT</pubDate><category>Autonomous Vehicles &amp; Drones</category><category>autonomous-vehicles</category><category>self-driving</category><category>safety</category><category>standards</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How self-driving cars see the world: cameras, lidar and radar</title><link>https://thelatentdaily.com/articles/how-self-driving-cars-see-cameras-lidar-radar/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-self-driving-cars-see-cameras-lidar-radar/</guid><description>The sensors behind autonomous vehicles, what each does best, how AI fuses them into a picture of the road, and the debate between camera-only and multi-sensor designs.</description><pubDate>Sun, 18 Oct 2026 04:31:00 GMT</pubDate><category>Autonomous Vehicles &amp; Drones</category><category>autonomous-vehicles</category><category>sensors</category><category>lidar</category><category>computer-vision</category><author>dario_admin@resolvia-crm.tech</author></item></channel></rss>