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<rss version="2.0"><channel><title>The Raw Logs — #models</title><link>https://therawlogs.com/tag/models</link><description>Top takes tagged #models.</description><language>en</language><lastBuildDate>Tue, 08 Sep 2026 16:37:31 GMT</lastBuildDate>    <item><title>#models — OpenAI Demonstrates 3.6x Latency Reduction for Professional Tasks</title><link>https://therawlogs.com/take/21-3</link><guid>https://therawlogs.com/take/21-3</guid><pubDate>Tue, 08 Sep 2026 14:35:40 GMT</pubDate><description><![CDATA[OpenAI Demonstrates 3.6x Latency Reduction for Professional Tasks: OpenAI confirmed new models cut task completion delays by up to 3.6 times while using rated chip power. Long response times make automated systems and real-time agent loops impractical. [#models]]]></description></item>    <item><title>#models — OpenAI Automates Internal Model Research with AI Agent Loops</title><link>https://therawlogs.com/take/20-1</link><guid>https://therawlogs.com/take/20-1</guid><pubDate>Mon, 07 Sep 2026 16:25:16 GMT</pubDate><description><![CDATA[OpenAI Automates Internal Model Research with AI Agent Loops: OpenAI confirmed internal autonomous software agents now design model architectures, write training tests, and run experiments automatically. Build automated testing loops so software evaluates and refines code directly. [#models]]]></description></item>    <item><title>#models — Healthcare AI Denial Bots Trigger Claim Dispute Deadlock</title><link>https://therawlogs.com/take/19-2</link><guid>https://therawlogs.com/take/19-2</guid><pubDate>Sun, 06 Sep 2026 18:26:55 GMT</pubDate><description><![CDATA[Healthcare AI Denial Bots Trigger Claim Dispute Deadlock: Insurance algorithms now deny medical claims in seconds while hospital software agents instantly generate automated multi-page legal appeals. Set fixed data rules between agents to settle claims without automated loops. [#models]]]></description></item>    <item><title>#models — OpenAI Rolls Out GPT-6 Astra with Dynamic Reasoning Depth</title><link>https://therawlogs.com/take/19-3</link><guid>https://therawlogs.com/take/19-3</guid><pubDate>Sun, 06 Sep 2026 18:26:55 GMT</pubDate><description><![CDATA[OpenAI Rolls Out GPT-6 Astra with Dynamic Reasoning Depth: OpenAI released GPT-6 Astra, which changes the amount of computing power used per word based on how hard the math or code problem is. Use dynamic compute runtimes to cut inference costs by 50% on multi-step tasks. [#models]]]></description></item>    <item><title>#models — Global AI Rules Take Effect in EU, US, Brazil, and India</title><link>https://therawlogs.com/take/19-4</link><guid>https://therawlogs.com/take/19-4</guid><pubDate>Sun, 06 Sep 2026 18:26:55 GMT</pubDate><description><![CDATA[Global AI Rules Take Effect in EU, US, Brazil, and India: The EU started technical AI audits. Brazil, India, & the US enacted conflicting laws on system liability, emergency shutdowns, & data rules. Build modular software to toggle local compliance checks by national border. [#models]]]></description></item>    <item><title>#models — Nvidia speeds up AI model releases to every 4 to 6 weeks.</title><link>https://therawlogs.com/take/14-1</link><guid>https://therawlogs.com/take/14-1</guid><pubDate>Sun, 30 Aug 2026 16:15:26 GMT</pubDate><description><![CDATA[Nvidia speeds up AI model releases to every 4 to 6 weeks.: Nvidia cut AI model release cycles from 8 months to 4-6 weeks using automated synthetic data and continuous post-training. Waiting months for monolithic model updates leaves you with obsolete tools. Shorter continuous training cycles deliver steady capability upgrades. [#models]]]></description></item>    <item><title>#models — Deploy GLM-5.3-Flash, trained and served entirely on domestic silicon.</title><link>https://therawlogs.com/take/12-2</link><guid>https://therawlogs.com/take/12-2</guid><pubDate>Fri, 28 Aug 2026 14:58:33 GMT</pubDate><description><![CDATA[Deploy GLM-5.3-Flash, trained and served entirely on domestic silicon.: Z.ai released GLM-5.3-Flash, a frontier model trained and served fully on domestic Chinese silicon. Relying on single-country hardware creates supply risks. Running frontier reasoning on alternative silicon proves complete software independence from traditional chip vendors. [#models]]]></description></item>    <item><title>#models — Alibaba releases Qwen3.8-Flash-Next, a 125B sparse mixture-of-experts model</title><link>https://therawlogs.com/take/11-1</link><guid>https://therawlogs.com/take/11-1</guid><pubDate>Thu, 27 Aug 2026 20:12:59 GMT</pubDate><description><![CDATA[Alibaba releases Qwen3.8-Flash-Next, a 125B sparse mixture-of-experts model: Alibaba released Qwen3.8-Flash-Next, a 125B sparse model that activates only 6B parameters per token. Computing all parameters for every word wastes energy. Sparse routing delivers top coding performance at $0.16 per million tokens with 8.6x faster throughput. [#models]]]></description></item>    <item><title>#models — A sparse group of specialized models enables advanced reasoning on a single computer.</title><link>https://therawlogs.com/take/8-5</link><guid>https://therawlogs.com/take/8-5</guid><pubDate>Mon, 24 Aug 2026 16:49:40 GMT</pubDate><description><![CDATA[A sparse group of specialized models enables advanced reasoning on a single computer.: Open-weight models have 2.4 t parameters, but each task uses only ~30 b. Dense models need many servers. Sparse routing loads only needed parts, so one server can do the work. Sparse expert models also let a single server handle the task, avoiding extra machines. [#models]]]></description></item>    <item><title>#models — Fast turbo models cut the delay of multi‑step tools to under 500 ms.</title><link>https://therawlogs.com/take/7-5</link><guid>https://therawlogs.com/take/7-5</guid><pubDate>Sun, 23 Aug 2026 14:58:19 GMT</pubDate><description><![CDATA[Fast turbo models cut the delay of multi‑step tools to under 500 ms.: Z AI released GLM‑5.2 Turbo, which speeds up multi‑step reasoning and tool calls. Typical models need 5–10 s per step, making interactive workflows impractical. The new model runs tool calls in under 500 ms. Use the turbo models for user‑facing tasks to avoid delays. [#models]]]></description></item>    <item><title>#models — Neural quantum chemistry now does the work that used to need supercomputers.</title><link>https://therawlogs.com/take/5-1</link><guid>https://therawlogs.com/take/5-1</guid><pubDate>Fri, 21 Aug 2026 16:29:25 GMT</pubDate><description><![CDATA[Neural quantum chemistry now does the work that used to need supercomputers.: Welcome to Neural Models. Microsoft released a Neural model Skala, an AI model that calculates atomic interactions for quantum chemistry. It can take weeks on supercomputers as cost grows fast with size; Skala matches accuracy in seconds. [#models]]]></description></item>    <item><title>#models — Mistral AI changes fixed database search to intelligent retrieval.</title><link>https://therawlogs.com/take/4-1</link><guid>https://therawlogs.com/take/4-1</guid><pubDate>Thu, 20 Aug 2026 17:33:41 GMT</pubDate><description><![CDATA[Mistral AI changes fixed database search to intelligent retrieval.: The Mistral agentic search retrieval tool claims to cut single‑pass search failures by over 40%. If it bypasses database lookups, will it reduce the number of tokens you need to spend? [#models]]]></description></item>    <item><title>#models — OpenAI RL Project Scaling Reality</title><link>https://therawlogs.com/take/3-1</link><guid>https://therawlogs.com/take/3-1</guid><pubDate>Thu, 20 Aug 2026 08:00:00 GMT</pubDate><description><![CDATA[OpenAI RL Project Scaling Reality: I'm surprised that a large company like OpenAI halted its biggest planned reinforcement‑learning project. There will be many safety problems and risks. How could they not have predicted this, given their funding and scale? [#models]]]></description></item>    <item><title>#models — Closed APIs vs Local Open Weights</title><link>https://therawlogs.com/take/2-4</link><guid>https://therawlogs.com/take/2-4</guid><pubDate>Wed, 19 Aug 2026 08:00:00 GMT</pubDate><description><![CDATA[Closed APIs vs Local Open Weights: Do not pay closed API vendors top dollar for tasks a small open tool can finish in milliseconds. Measure the exact cost and time for each step. Route multi-step logic to large models and keep routine text on local open weights. [#models]]]></description></item>    <item><title>#models — Conservation Laws vs Text Probability</title><link>https://therawlogs.com/take/1-4</link><guid>https://therawlogs.com/take/1-4</guid><pubDate>Tue, 18 Aug 2026 08:00:00 GMT</pubDate><description><![CDATA[Conservation Laws vs Text Probability: Do not treat physics simulation as text generation. Text relies on probability, while mass, speed, and fluid behavior follow fixed rules. If your model does not follow conservation laws, its simulations are not useful in reality. [#models]]]></description></item></channel></rss>