<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:media="http://search.yahoo.com/mrss/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>TeqVolt</title><description>AI &amp; Tech News, Tips, and Deep Dives</description><link>https://teqvolt.com/</link><language>en</language><lastBuildDate>Fri, 16 Oct 2026 18:02:56 GMT</lastBuildDate><atom:link href="https://teqvolt.com/rss.xml" rel="self" type="application/rss+xml"/><image><url>https://teqvolt.com/favicon.svg</url><title>TeqVolt</title><link>https://teqvolt.com</link></image><item><title>Claude for Financial Advisors: Audit the Evidence Chain</title><link>https://teqvolt.com/deep-dives/claude-financial-advisors-audit-evidence-chain/</link><guid isPermaLink="true">https://teqvolt.com/deep-dives/claude-financial-advisors-audit-evidence-chain</guid><description>Financial AI needs more than human approval: preserve source authority, calculation lineage, action boundaries, review context, and replayable evidence.</description><pubDate>Tue, 15 Sep 2026 06:59:18 GMT</pubDate><dc:creator>Aisha Patel</dc:creator><media:content url="/api/media/64cb7644-ea29-4535-964c-cde76b4e2dc7.jpg" medium="image"/><category>Deep Dives</category><category>Claude for Financial Advisors</category><category>financial AI</category><category>audit trails</category><category>human review</category><category>AI governance</category><author>Aisha Patel</author></item><item><title>Agentic Code Security Needs Evidence, Not More Findings</title><link>https://teqvolt.com/deep-dives/agentic-code-security-evidence-before-autofix/</link><guid isPermaLink="true">https://teqvolt.com/deep-dives/agentic-code-security-evidence-before-autofix</guid><description>AI code security is moving from plausible findings to verified changes built on reproduction, re-attacks, regression tests, and enforceable merge policies.</description><pubDate>Mon, 14 Sep 2026 06:56:36 GMT</pubDate><dc:creator>Aisha Patel</dc:creator><media:content url="/api/media/3f792b7d-5348-48c1-b2e3-423605d36f00.jpg" medium="image"/><category>Deep Dives</category><category>agentic security</category><category>code review</category><category>vulnerability verification</category><category>GitHub Copilot</category><category>Google Mantis</category><author>Aisha Patel</author></item><item><title>OpenAI Habitat: Five Storage Lessons Beyond the Rust Rewrite</title><link>https://teqvolt.com/deep-dives/openai-habitat-storage-lessons-beyond-rust-rewrite/</link><guid isPermaLink="true">https://teqvolt.com/deep-dives/openai-habitat-storage-lessons-beyond-rust-rewrite</guid><description>OpenAI&apos;s Habitat shows that high-scale storage reliability depends less on a flashy rewrite than on event-loop telemetry, balanced connection reuse, bounded APIs, and disciplined migration.</description><pubDate>Sun, 13 Sep 2026 06:55:10 GMT</pubDate><dc:creator>Sarah Chen</dc:creator><media:content url="/api/media/4ae79cd6-c984-41b0-bcf6-9f306f0a9ca4.jpg" medium="image"/><category>Deep Dives</category><category>OpenAI Habitat</category><category>distributed systems</category><category>storage infrastructure</category><category>Python asyncio</category><category>Rust</category><author>Sarah Chen</author></item><item><title>Granite PatchTST-FM-r2: Test Zero-Shot Forecasting First</title><link>https://teqvolt.com/open-source/granite-patchtst-fm-r2-zero-shot-forecasting-evaluation/</link><guid isPermaLink="true">https://teqvolt.com/open-source/granite-patchtst-fm-r2-zero-shot-forecasting-evaluation</guid><description>IBM&apos;s Granite PatchTST-FM-r2 is a strong open zero-shot forecasting challenger. Use three production gates before replacing your current forecasting stack.</description><pubDate>Sat, 12 Sep 2026 08:54:30 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="/api/media/ba94b171-7115-47ed-a227-ae5c4076d109.jpg" medium="image"/><category>Open Source</category><category>Granite</category><category>time series</category><category>zero-shot forecasting</category><category>open source</category><category>MLOps</category><author>Marcus Rivera</author></item><item><title>OpenAI Agents API: What You Still Own in Production</title><link>https://teqvolt.com/ai-news/openai-agents-api-production-responsibility-boundary/</link><guid isPermaLink="true">https://teqvolt.com/ai-news/openai-agents-api-production-responsibility-boundary</guid><description>OpenAI now manages the agent harness. Your team still owns permissions, credentials, tool safety, budgets, evaluation, and recovery in production.</description><pubDate>Fri, 11 Sep 2026 18:40:23 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="/api/media/df5283e0-b2e7-433e-a194-f03e0052babe.jpg" medium="image"/><category>AI News</category><category>OpenAI Agents API</category><category>AI agents</category><category>agent security</category><category>developer tools</category><category>production AI</category><author>Marcus Rivera</author></item><item><title>Multimodal Inference: Split the Encoder Only When It Pays</title><link>https://teqvolt.com/deep-dives/multimodal-inference-encoder-disaggregation-break-even/</link><guid isPermaLink="true">https://teqvolt.com/deep-dives/multimodal-inference-encoder-disaggregation-break-even</guid><description>A practical benchmark and rollout gate for deciding when encode-prefill-decode disaggregation improves multimodal inference—and when it makes latency worse.</description><pubDate>Thu, 10 Sep 2026 06:57:52 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="/api/media/95aac3cc-a4ff-4768-b7e1-d830f8cbadaf.jpg" medium="image"/><category>Deep Dives</category><category>multimodal inference</category><category>NVIDIA Dynamo</category><category>vLLM</category><category>SGLang</category><category>GPU serving</category><author>Marcus Rivera</author></item><item><title>GPT-Image-2.5: Test Edit Drift Before You Migrate</title><link>https://teqvolt.com/tech-tips/gpt-image-25-edit-drift-migration-tests/</link><guid isPermaLink="true">https://teqvolt.com/tech-tips/gpt-image-25-edit-drift-migration-tests</guid><description>A practical migration test for GPT-Image-2.5 that measures edit drift, routes work between Flare and Sunburst, and catches visual regressions before launch.</description><pubDate>Wed, 09 Sep 2026 08:22:15 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="/api/media/268ad84d-a42b-492d-a04b-49fa55b47003.jpg" medium="image"/><category>Tech Tips</category><category>GPT-Image-2.5</category><category>image generation</category><category>evaluation</category><category>OpenAI API</category><category>multimodal AI</category><author>Marcus Rivera</author></item><item><title>EVIE Visual Document Retrieval: Budget the Index First</title><link>https://teqvolt.com/deep-dives/evie-visual-document-retrieval-index-budget/</link><guid isPermaLink="true">https://teqvolt.com/deep-dives/evie-visual-document-retrieval-index-budget</guid><description>Tencent EVIE makes visual RAG index cost tunable. Compare quality against bytes per page before choosing a document retriever.</description><pubDate>Tue, 08 Sep 2026 07:01:34 GMT</pubDate><dc:creator>Aisha Patel</dc:creator><media:content url="/api/media/bdaf7815-1164-40e8-94eb-a399d888e1ae.jpg" medium="image"/><category>Deep Dives</category><category>EVIE</category><category>Visual RAG</category><category>Document Retrieval</category><category>Embeddings</category><category>Vector Search</category><author>Aisha Patel</author></item><item><title>Claude Formalized Fermat: Four Lessons for Long-Running AI Agents</title><link>https://teqvolt.com/deep-dives/claude-fermat-formalization-long-running-ai-agents/</link><guid isPermaLink="true">https://teqvolt.com/deep-dives/claude-fermat-formalization-long-running-ai-agents</guid><description>Claude’s Fermat formalization shows why durable state, dependency graphs, modular artifacts, and machine-checkable gates matter more than agent bravado.</description><pubDate>Mon, 07 Sep 2026 06:59:12 GMT</pubDate><dc:creator>Aisha Patel</dc:creator><media:content url="https://teqvolt.com/api/media/70773cd7-6c0f-445d-8b47-4ee323e8e49d.png" medium="image"/><category>Deep Dives</category><category>Claude</category><category>Fermat’s Last Theorem</category><category>AI Agents</category><category>Formal Verification</category><category>Lean</category><author>Aisha Patel</author></item><item><title>NVIDIA–Hugging Face Deal: Four Neutrality Tests</title><link>https://teqvolt.com/ai-news/nvidia-hugging-face-deal-neutrality-tests/</link><guid isPermaLink="true">https://teqvolt.com/ai-news/nvidia-hugging-face-deal-neutrality-tests</guid><description>NVIDIA says Hugging Face will stay open and hardware-neutral. Developers now need measurable tests for whether that promise survives integration.</description><pubDate>Sun, 06 Sep 2026 06:55:38 GMT</pubDate><dc:creator>Sarah Chen</dc:creator><media:content url="https://teqvolt.com/api/media/168cdbf9-6b5f-4c01-8868-d90a5ac8c4b5.jpg" medium="image"/><category>AI News</category><category>NVIDIA</category><category>Hugging Face</category><category>Open Models</category><category>AI Infrastructure</category><author>Sarah Chen</author></item><item><title>AI Coding Cost: Measure Accepted Fixes, Not Tokens</title><link>https://teqvolt.com/tech-tips/ai-coding-cost-measure-accepted-fixes-not-tokens/</link><guid isPermaLink="true">https://teqvolt.com/tech-tips/ai-coding-cost-measure-accepted-fixes-not-tokens</guid><description>A smaller token count can hide expensive retries. Use accepted fixes, failed attempts, and human repair to measure what your coding agent actually costs.</description><pubDate>Sat, 05 Sep 2026 12:48:41 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="https://teqvolt.com/api/media/445137e6-af7b-4099-bc72-a9e8c153e041.jpg" medium="image"/><category>Tech Tips</category><category>AI Coding</category><category>Agent Evaluation</category><category>Developer Tools</category><category>AI Costs</category><author>Marcus Rivera</author></item><item><title>Model Hardware Standard: A Safer Contract for AI Agents</title><link>https://teqvolt.com/deep-dives/model-hardware-standard-safer-ai-agent-device-contract/</link><guid isPermaLink="true">https://teqvolt.com/deep-dives/model-hardware-standard-safer-ai-agent-device-contract</guid><description>Anthropic&apos;s Model Hardware Standard is a reminder that the hard part of physical AI is not the model—it is the contract between intent, device state, safety limits, and recovery.</description><pubDate>Mon, 31 Aug 2026 07:34:39 GMT</pubDate><dc:creator>Aisha Patel</dc:creator><media:content url="https://teqvolt.com/api/media/c7278e34-fad2-4b8d-8c51-fbed637082b2.png" medium="image"/><category>Deep Dives</category><category>Model Hardware Standard</category><category>Physical AI</category><category>Robotics</category><category>AI Agents</category><category>Lab Automation</category><author>Aisha Patel</author></item><item><title>AI Agent Containment After the Hugging Face Incident</title><link>https://teqvolt.com/deep-dives/ai-agent-containment-hugging-face-incident/</link><guid isPermaLink="true">https://teqvolt.com/deep-dives/ai-agent-containment-hugging-face-incident</guid><description>The OpenAI–Hugging Face incident shows why a sandbox alone cannot contain autonomous agents. Here is a five-layer defense model for real systems.</description><pubDate>Fri, 28 Aug 2026 16:04:21 GMT</pubDate><dc:creator>Aisha Patel</dc:creator><media:content url="https://teqvolt.com/api/media/833cf6f9-2c22-4d28-a59d-955e98e7e9c6.jpg" medium="image"/><category>Deep Dives</category><category>AI Agent Security</category><category>Agent Containment</category><category>Cybersecurity</category><category>Hugging Face</category><category>AI Evaluation</category><author>Aisha Patel</author></item><item><title>MTIA 300: Why Meta Put the Network Inside Its AI Chip</title><link>https://teqvolt.com/deep-dives/mtia-300-network-first-ai-training-chip/</link><guid isPermaLink="true">https://teqvolt.com/deep-dives/mtia-300-network-first-ai-training-chip</guid><description>MTIA 300 moves RDMA networking and collective offload into the accelerator package. The real lesson is how to identify communication-bound AI workloads.</description><pubDate>Wed, 26 Aug 2026 06:59:56 GMT</pubDate><dc:creator>Aisha Patel</dc:creator><media:content url="https://teqvolt.com/api/media/1f90f496-1bc9-475b-b189-9083e469735b.jpg" medium="image"/><category>Deep Dives</category><category>MTIA 300</category><category>AI Infrastructure</category><category>AI Chips</category><category>RDMA</category><category>Distributed Training</category><author>Aisha Patel</author></item><item><title>Google ADK Live Evaluation: Test Voice Agents Before Shipping</title><link>https://teqvolt.com/tech-tips/google-adk-live-evaluation-voice-agent-testing/</link><guid isPermaLink="true">https://teqvolt.com/tech-tips/google-adk-live-evaluation-voice-agent-testing</guid><description>Google ADK turns live voice-agent behavior into repeatable tests with simulated audio, tool checks, and multi-turn rubrics built for release gates.</description><pubDate>Tue, 25 Aug 2026 06:57:02 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="https://teqvolt.com/api/media/4d16282f-e2fe-4e65-9a7f-77442fe61364.jpg" medium="image"/><category>Tech Tips</category><category>Google ADK</category><category>Voice Agents</category><category>Agent Evaluation</category><category>Gemini Live</category><category>Developer Tools</category><author>Marcus Rivera</author></item><item><title>LFM2.5 QAD vs DSpark: Two Levers for Faster Local AI</title><link>https://teqvolt.com/tech-tips/lfm25-qad-vs-dspark-faster-local-ai/</link><guid isPermaLink="true">https://teqvolt.com/tech-tips/lfm25-qad-vs-dspark-faster-local-ai</guid><description>LFM2.5 QAD and DSpark fix different local-inference bottlenecks. Use this practical guide to choose the right optimization and benchmark it safely.</description><pubDate>Mon, 24 Aug 2026 06:56:16 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="https://teqvolt.com/api/media/07b44930-bd0f-4263-8b24-de8c7f081777.png" medium="image"/><category>Tech Tips</category><category>LFM2.5</category><category>Local AI</category><category>Quantization</category><category>Speculative Decoding</category><category>llama.cpp</category><author>Marcus Rivera</author></item><item><title>GitHub Copilot’s August 26 Model Policy: What Admins Must Audit</title><link>https://teqvolt.com/tech-tips/github-copilot-august-26-model-policy-admin-audit/</link><guid isPermaLink="true">https://teqvolt.com/tech-tips/github-copilot-august-26-model-policy-admin-audit</guid><description>GitHub Copilot will turn unconfigured GA models into inherited policy decisions on August 26. Admins need an explicit access and migration audit.</description><pubDate>Sun, 23 Aug 2026 06:58:00 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="https://teqvolt.com/api/media/b46f7863-d70e-44ad-9969-32406413e0c5.jpg" medium="image"/><category>Tech Tips</category><category>GitHub Copilot</category><category>AI Governance</category><category>Enterprise AI</category><category>Developer Tools</category><category>Model Policy</category><author>Marcus Rivera</author></item><item><title>Marin 535B: The Training Run Is the Real Open-Source Release</title><link>https://teqvolt.com/open-source/marin-535b-open-training-run-audit/</link><guid isPermaLink="true">https://teqvolt.com/open-source/marin-535b-open-training-run-audit</guid><description>Marin’s 535B model is being trained in public. The real release is its auditable scaling ladder, failure record, and systems playbook.</description><pubDate>Sat, 22 Aug 2026 07:56:45 GMT</pubDate><dc:creator>Aisha Patel</dc:creator><media:content url="https://teqvolt.com/api/media/f98d8d1a-ecbb-45a2-8040-192c2508dd11.png" medium="image"/><category>Open Source</category><category>Marin 535B</category><category>Open Source AI</category><category>Mixture of Experts</category><category>LLM Training</category><category>Model Transparency</category><author>Aisha Patel</author></item><item><title>Matryoshka Language Model Suites: One Run, Three Models</title><link>https://teqvolt.com/deep-dives/matryoshka-language-model-suites-one-run-three-models/</link><guid isPermaLink="true">https://teqvolt.com/deep-dives/matryoshka-language-model-suites-one-run-three-models</guid><description>Matryoshka Language Model Suites train three deployable model sizes together, turning model-family economics into an architecture decision rather than three separate projects.</description><pubDate>Fri, 21 Aug 2026 07:51:24 GMT</pubDate><dc:creator>Aisha Patel</dc:creator><media:content url="https://teqvolt.com/api/media/e683ece0-8e2a-4ac8-a179-5842f4fba6f2.png" medium="image"/><category>Deep Dives</category><category>Matryoshka</category><category>Language Models</category><category>Model Training</category><category>Speculative Decoding</category><author>Aisha Patel</author></item><item><title>NVIDIA cuOpt: Benchmark the Workflow, Not Just the Solver</title><link>https://teqvolt.com/tech-tips/nvidia-cuopt-benchmark-workflow-not-just-solver/</link><guid isPermaLink="true">https://teqvolt.com/tech-tips/nvidia-cuopt-benchmark-workflow-not-just-solver</guid><description>NVIDIA cuOpt makes GPU optimization more accessible, but solver speed is only useful when data loading, constraints, validation, and fallback paths are measured too.</description><pubDate>Thu, 20 Aug 2026 08:20:18 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="https://teqvolt.com/api/media/e2780dc4-5540-471d-9d96-e1545da00b1c.png" medium="image"/><category>Tech Tips</category><category>NVIDIA cuOpt</category><category>Optimization</category><category>GPU Computing</category><category>Operations Research</category><author>Marcus Rivera</author></item><item><title>GitLab 19.2.2: Patch the Pipeline Trust Boundary</title><link>https://teqvolt.com/tech-tips/gitlab-19-2-2-patch-pipeline-trust-boundary/</link><guid isPermaLink="true">https://teqvolt.com/tech-tips/gitlab-19-2-2-patch-pipeline-trust-boundary</guid><description>GitLab 19.2.2 fixes a CI/CD authorization flaw. The important follow-up is to audit the trust chain from protected references to secrets and runners.</description><pubDate>Mon, 17 Aug 2026 07:35:24 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="https://teqvolt.com/api/media/4bbe87ce-5fa1-46a4-b381-aa1d83429e15.png" medium="image"/><category>Tech Tips</category><category>GitLab</category><category>CI/CD security</category><category>DevSecOps</category><category>pipeline security</category><category>self-managed GitLab</category><author>Marcus Rivera</author></item><item><title>AI Coding Agents Need a Control Plane, Not a Better Model</title><link>https://teqvolt.com/ai-news/ai-coding-agents-control-plane/</link><guid isPermaLink="true">https://teqvolt.com/ai-news/ai-coding-agents-control-plane</guid><description>AI coding agents are moving beyond autocomplete into repositories, pull requests, sandboxes, and tool calls. The essential design work is now the control plane around them.</description><pubDate>Sun, 16 Aug 2026 07:13:17 GMT</pubDate><dc:creator>Sarah Chen</dc:creator><media:content url="https://teqvolt.com/api/media/8caba1ee-aa1b-4d4f-bab5-3b593ad87a3f.png" medium="image"/><category>AI News</category><category>AI coding agents</category><category>developer tools</category><category>MCP</category><category>AI governance</category><category>software engineering</category><author>Sarah Chen</author></item><item><title>EU Battery Passport: The 2027 Data Operations Deadline</title><link>https://teqvolt.com/ethics/eu-battery-passport-data-operations-deadline-2027/</link><guid isPermaLink="true">https://teqvolt.com/ethics/eu-battery-passport-data-operations-deadline-2027</guid><description>The EU battery passport is moving from a QR-code requirement to a data-governance deadline. Here is what changes before February 2027.</description><pubDate>Fri, 14 Aug 2026 23:06:20 GMT</pubDate><dc:creator>Aisha Patel</dc:creator><media:content url="https://teqvolt.com/api/media/3f3d77b6-73bc-4392-9971-ae2a86dfb3c0.png" medium="image"/><category>Ethics &amp; AI</category><category>battery passport</category><category>EV batteries</category><category>EU regulation</category><category>supply chain</category><category>circular economy</category><author>Aisha Patel</author></item><item><title>Cosmos 3 Edge Is a World Model, Not a Robot Controller</title><link>https://teqvolt.com/deep-dives/cosmos-3-edge-world-model-robotics-guide/</link><guid isPermaLink="true">https://teqvolt.com/deep-dives/cosmos-3-edge-world-model-robotics-guide</guid><description>Cosmos 3 Edge is a compact physical-AI foundation model, but its own latency tables show why real-time robot control still favors specialized policies.</description><pubDate>Fri, 14 Aug 2026 06:53:19 GMT</pubDate><dc:creator>Aisha Patel</dc:creator><media:content url="https://teqvolt.com/api/media/5a650632-3490-4391-a770-3f9e25ab15bf.png" medium="image"/><category>Deep Dives</category><category>Cosmos 3 Edge</category><category>Physical AI</category><category>Robotics</category><category>World Models</category><category>Vision-Language-Action</category><author>Aisha Patel</author></item><item><title>Claude Text Watermarks: What Anthropic&apos;s Hidden Mark Can Prove</title><link>https://teqvolt.com/ai-news/claude-text-watermark-hidden-mark-explained/</link><guid isPermaLink="true">https://teqvolt.com/ai-news/claude-text-watermark-hidden-mark-explained</guid><description>Claude now embeds a hidden watermark in supported text, but Anthropic says it is a provenance signal—not proof that Claude authored the final work.</description><pubDate>Thu, 13 Aug 2026 07:43:46 GMT</pubDate><dc:creator>Sarah Chen</dc:creator><media:content url="https://teqvolt.com/api/media/3afaa88b-e9b4-41ea-86d2-d754f1f8950d.png" medium="image"/><category>AI News</category><category>Claude</category><category>AI watermarking</category><category>content provenance</category><category>EU AI Act</category><category>C2PA</category><author>Sarah Chen</author></item><item><title>ChatGPT Desktop for Linux Is Here—But It’s Still a Preview</title><link>https://teqvolt.com/ai-news/chatgpt-desktop-linux-preview-install-guide/</link><guid isPermaLink="true">https://teqvolt.com/ai-news/chatgpt-desktop-linux-preview-install-guide</guid><description>OpenAI now offers an official ChatGPT desktop preview for Linux. Here is the supported distro matrix, install path, security model, and what is still missing.</description><pubDate>Thu, 13 Aug 2026 06:45:40 GMT</pubDate><dc:creator>Sarah Chen</dc:creator><media:content url="/api/media/d38ca4d5-f310-49a7-a42e-c9926568b5c6.webp" medium="image"/><category>AI News</category><category>ChatGPT</category><category>Linux</category><category>Codex</category><category>Developer Tools</category><author>Sarah Chen</author></item><item><title>GPT-5.6-Cyber: Why Daybreak Red Is Not a Default Upgrade</title><link>https://teqvolt.com/ai-news/gpt-5-6-cyber-daybreak-red-security-model/</link><guid isPermaLink="true">https://teqvolt.com/ai-news/gpt-5-6-cyber-daybreak-red-security-model</guid><description>GPT-5.6-Cyber answers far more advanced security requests, but OpenAI&apos;s own results show why most teams should start with Daybreak Blue.</description><pubDate>Wed, 12 Aug 2026 18:07:28 GMT</pubDate><dc:creator>Sarah Chen</dc:creator><media:content url="https://teqvolt.com/api/media/6a9ac8e3-9ecb-4fce-b4b5-20f69c9d5f49.png" medium="image"/><category>AI News</category><category>GPT-5.6-Cyber</category><category>OpenAI Daybreak</category><category>Cybersecurity</category><category>AI Security</category><author>Sarah Chen</author></item><item><title>Nemotron 3.5 Lightning: Nvidia&apos;s 3B-Active Agent Workhorse</title><link>https://teqvolt.com/ai-news/nemotron-3-5-lightning-nvidia-30b-moe-agent-execution/</link><guid isPermaLink="true">https://teqvolt.com/ai-news/nemotron-3-5-lightning-nvidia-30b-moe-agent-execution</guid><description>Nvidia&apos;s new 30B open MoE runs 3B active parameters and targets the boring 90% of agent work: tool calls, validation, formatting. It hits 86% on PinchBench while clearing 10,000 tasks 30% faster than Qwen3.6 35B.</description><pubDate>Wed, 12 Aug 2026 09:35:14 GMT</pubDate><dc:creator>Sarah Chen</dc:creator><media:content url="/api/media/8a0da649-9650-4b82-9dd5-1937a4ab4ff6.png" medium="image"/><category>AI News</category><category>ai-models</category><category>ai-agents</category><category>open-weights</category><category>mixture-of-experts</category><category>nvidia</category><category>developer-tools</category><author>Sarah Chen</author></item><item><title>Data Center Moratoriums: New York Pauses the AI Buildout</title><link>https://teqvolt.com/ethics/data-center-moratoriums-new-york-pauses-ai-buildout/</link><guid isPermaLink="true">https://teqvolt.com/ethics/data-center-moratoriums-new-york-pauses-ai-buildout</guid><description>New York just became the first state to pause new hyperscale data centers. With $130 billion in projects blocked in a single quarter and 70% of Americans opposed, the AI buildout&apos;s real bottleneck is no longer compute. It&apos;s consent.</description><pubDate>Wed, 12 Aug 2026 09:35:14 GMT</pubDate><dc:creator>Aisha Patel</dc:creator><media:content url="/api/media/046351d7-165b-4819-ae8f-181982655e7c.png" medium="image"/><category>Ethics &amp; AI</category><category>ai-ethics</category><category>ai-regulation</category><category>ai-policy</category><category>data-centers</category><author>Aisha Patel</author></item><item><title>Seedance 2.5: ByteDance&apos;s 30-Second Video Model With Native Audio</title><link>https://teqvolt.com/ai-news/seedance-2-5-bytedance-30-second-video-model-native-audio/</link><guid isPermaLink="true">https://teqvolt.com/ai-news/seedance-2-5-bytedance-30-second-video-model-native-audio</guid><description>ByteDance&apos;s Seedance 2.5 generates a 30-second clip with synchronized audio in a single pass and accepts 30 reference images. It is the first AI video model whose output length matches a real deliverable.</description><pubDate>Mon, 10 Aug 2026 06:56:05 GMT</pubDate><dc:creator>Sarah Chen</dc:creator><media:content url="/api/media/810237e7-4fd4-4e25-92ab-8df67082ae64.png" medium="image"/><category>AI News</category><category>video-generation</category><category>ai-models</category><category>multimodal</category><category>bytedance</category><author>Sarah Chen</author></item><item><title>Promptfoo: Test Your LLM Prompts Like Unit Tests</title><link>https://teqvolt.com/tech-tips/promptfoo-test-llm-prompts-like-unit-tests/</link><guid isPermaLink="true">https://teqvolt.com/tech-tips/promptfoo-test-llm-prompts-like-unit-tests</guid><description>Your test suite has 400 assertions. Your prompts have zero. Promptfoo closes that gap with YAML-defined test cases you can gate a pull request on.</description><pubDate>Mon, 10 Aug 2026 06:56:05 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="/api/media/5720b63d-7cf5-4d74-b67d-26313ff12096.png" medium="image"/><category>Tech Tips</category><category>developer-tools</category><category>benchmarks</category><category>open-source</category><category>llm</category><category>openai</category><author>Marcus Rivera</author></item><item><title>SpeakoFlow: The Open-Source Voice Assistant That Stays Local</title><link>https://teqvolt.com/open-source/speakoflow-the-open-source-voice-assistant-that-stays-local/</link><guid isPermaLink="true">https://teqvolt.com/open-source/speakoflow-the-open-source-voice-assistant-that-stays-local</guid><description>SpeakoFlow is an MIT-licensed desktop voice assistant where speech-to-text never leaves your machine. It hit #13 on Product Hunt with six GitHub stars behind it. Both facts matter.</description><pubDate>Fri, 07 Aug 2026 06:53:53 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="/api/media/d87a82a6-8c6c-490d-a19b-79fe3b640570.png" medium="image"/><category>Open Source</category><category>open-source</category><category>local-llm</category><category>voice-ai</category><category>developer-tools</category><category>productivity</category><author>Marcus Rivera</author></item><item><title>Atlaso: Does One Memory Layer Fix Every AI Tool in 2026?</title><link>https://teqvolt.com/reviews/atlaso-does-one-memory-layer-fix-every-ai-tool-in-2026/</link><guid isPermaLink="true">https://teqvolt.com/reviews/atlaso-does-one-memory-layer-fix-every-ai-tool-in-2026</guid><description>Atlaso gives Claude Code, Cursor and Codex one shared memory, and publishes the benchmark it loses. The research is excellent. The shipped product has not caught up.</description><pubDate>Fri, 07 Aug 2026 06:53:53 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="/api/media/ba5a1db1-e873-4b75-a516-81f81e0eee58.png" medium="image"/><category>Reviews</category><category>developer-tools</category><category>mcp</category><category>productivity</category><category>benchmarks</category><category>claude-code</category><author>Marcus Rivera</author></item><item><title>Muse Code: Meta&apos;s Terminal Agent Is Cheap If You Pay in Code</title><link>https://teqvolt.com/ai-news/muse-code-metas-terminal-agent-is-cheap-if-you-pay-in-code/</link><guid isPermaLink="true">https://teqvolt.com/ai-news/muse-code-metas-terminal-agent-is-cheap-if-you-pay-in-code</guid><description>Meta&apos;s new terminal coding agent came second on all three of its own benchmark charts. The real story is a contributor tier that costs 21x less on output because Meta trains on your prompts.</description><pubDate>Thu, 06 Aug 2026 06:57:23 GMT</pubDate><dc:creator>Sarah Chen</dc:creator><media:content url="/api/media/4db3f706-b7d3-4d0e-abfe-0fa692a3ab76.png" medium="image"/><category>AI News</category><category>ai-coding-agents</category><category>ai-models</category><category>meta</category><category>benchmarks</category><category>developer-tools</category><category>ai-agents</category><author>Sarah Chen</author></item><item><title>Prelint: The AI Reviewer That Catches Product Drift, Not Bugs</title><link>https://teqvolt.com/reviews/prelint-the-ai-reviewer-that-catches-product-drift-not-bugs/</link><guid isPermaLink="true">https://teqvolt.com/reviews/prelint-the-ai-reviewer-that-catches-product-drift-not-bugs</guid><description>Your agent&apos;s code compiles, passes CI, and quietly builds the wrong product. Prelint reviews every pull request against your specs and ADRs instead of your syntax — for $1 a review.</description><pubDate>Thu, 06 Aug 2026 06:57:23 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="/api/media/8e810794-dd78-4d1b-8e87-f3de132f5725.png" medium="image"/><category>Reviews</category><category>developer-tools</category><category>ai-coding-agents</category><category>ai-agents</category><category>code-review</category><category>mcp</category><category>productivity</category><author>Marcus Rivera</author></item><item><title>DeepSeek V4 Flash 0731: Frontier Agent Work at $0.14</title><link>https://teqvolt.com/ai-news/deepseek-v4-flash-0731-frontier-agent-work-at-014/</link><guid isPermaLink="true">https://teqvolt.com/ai-news/deepseek-v4-flash-0731-frontier-agent-work-at-014</guid><description>Same 284B architecture, same $0.14 price tag, ten more points of measured intelligence. DeepSeek&apos;s July 31 update is the clearest sign yet that cheap capability wins now come from post-training, not parameter count.</description><pubDate>Wed, 05 Aug 2026 06:17:04 GMT</pubDate><dc:creator>Sarah Chen</dc:creator><media:content url="/api/media/22731462-e26b-485d-9fa2-9ba76f799656.png" medium="image"/><category>AI News</category><category>ai-models</category><category>llm</category><category>benchmarks</category><category>ai-agents</category><category>open-weights</category><author>Sarah Chen</author></item><item><title>Speculative Decoding: How LLMs Write Tokens 3x Faster</title><link>https://teqvolt.com/deep-dives/speculative-decoding-how-llms-write-tokens-3x-faster/</link><guid isPermaLink="true">https://teqvolt.com/deep-dives/speculative-decoding-how-llms-write-tokens-3x-faster</guid><description>Autoregressive decoding leaves your GPU&apos;s compute units idle while memory bandwidth throttles every token. Speculative decoding puts them to work — losslessly. Here is the mechanism, the method landscape, and the batch-size trap nobody warns you about.</description><pubDate>Wed, 05 Aug 2026 06:17:04 GMT</pubDate><dc:creator>Aisha Patel</dc:creator><media:content url="/api/media/8fd28587-bb6b-44a7-b2b5-3465e7ae0289.png" medium="image"/><category>Deep Dives</category><category>inference</category><category>llm</category><category>developer-tools</category><category>benchmarks</category><category>ai-models</category><author>Aisha Patel</author></item><item><title>Qwen3.8-Max: Alibaba&apos;s 2.4T-Parameter Flagship Goes Live</title><link>https://teqvolt.com/ai-news/qwen3-8-max-alibaba-2-4t-flagship/</link><guid isPermaLink="true">https://teqvolt.com/ai-news/qwen3-8-max-alibaba-2-4t-flagship</guid><description>Alibaba&apos;s 2.4T-parameter Qwen3.8-Max brings a 1M-token window and aggressive $2/$6 pricing. Here&apos;s what the benchmarks really say, and where the fine print bites.</description><pubDate>Tue, 04 Aug 2026 06:43:48 GMT</pubDate><dc:creator>Sarah Chen</dc:creator><media:content url="/api/media/1ead242a-6e84-423e-939d-130d34e614c6.png" medium="image"/><category>AI News</category><category>ai-models</category><category>mixture-of-experts</category><category>open-weights</category><category>benchmarks</category><category>multimodal</category><author>Sarah Chen</author></item><item><title>Google Antigravity: Is the Agent-First IDE Worth It in 2026?</title><link>https://teqvolt.com/reviews/google-antigravity-agent-first-ide-review-2026/</link><guid isPermaLink="true">https://teqvolt.com/reviews/google-antigravity-agent-first-ide-review-2026</guid><description>Google Antigravity inverts the IDE around autonomous agents, with a Manager View for parallel work and a built-in browser. We test whether it&apos;s worth switching to.</description><pubDate>Tue, 04 Aug 2026 06:43:48 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="/api/media/9d4358f5-673f-46ee-9cc0-f89dda552017.png" medium="image"/><category>Reviews</category><category>developer-tools</category><category>ai-coding-agents</category><category>ai-agents</category><category>google</category><category>productivity</category><author>Marcus Rivera</author></item><item><title>DeepSeek V4: 1.6T Open Weights and 1M Context, Now the Default</title><link>https://teqvolt.com/ai-news/deepseek-v4-open-weights-1m-context/</link><guid isPermaLink="true">https://teqvolt.com/ai-news/deepseek-v4-open-weights-1m-context</guid><description>DeepSeek V4 ships as two open-weight MoE models with a 1M-token default context and pricing that turns frontier-adjacent AI into a rounding error.</description><pubDate>Sat, 01 Aug 2026 08:14:33 GMT</pubDate><dc:creator>Sarah Chen</dc:creator><media:content url="/api/media/5e02aa07-04cf-4dcd-a0a1-d44f56a8907a.png" medium="image"/><category>AI News</category><category>open-weights</category><category>mixture-of-experts</category><category>ai-models</category><category>ai-coding-agents</category><category>benchmarks</category><author>Sarah Chen</author></item><item><title>FlashAttention: The IO-Aware Trick That Made Long Context Cheap</title><link>https://teqvolt.com/deep-dives/flashattention-io-aware-attention/</link><guid isPermaLink="true">https://teqvolt.com/deep-dives/flashattention-io-aware-attention</guid><description>FlashAttention didn&apos;t make models smarter, it made attention IO-aware, cutting memory from quadratic to linear and quietly unlocking the long-context era.</description><pubDate>Sat, 01 Aug 2026 08:14:33 GMT</pubDate><dc:creator>Aisha Patel</dc:creator><media:content url="/api/media/b8c128bd-d0f4-4692-b28d-13ba2a9e3cf2.png" medium="image"/><category>Deep Dives</category><category>llm</category><category>inference</category><category>ai-models</category><category>developer-tools</category><category>nvidia</category><author>Aisha Patel</author></item><item><title>Laguna S 2.1: Poolside&apos;s 118B Open-Weight Coding Model</title><link>https://teqvolt.com/ai-news/laguna-s-2-1-poolside-open-weight-coding-model/</link><guid isPermaLink="true">https://teqvolt.com/ai-news/laguna-s-2-1-poolside-open-weight-coding-model</guid><description>Poolside&apos;s Laguna S 2.1 is a 118B open-weight coding MoE that claims to beat rivals 10x its size. We unpack the architecture, benchmarks, and the license that makes it self-hostable.</description><pubDate>Fri, 31 Jul 2026 06:13:12 GMT</pubDate><dc:creator>Sarah Chen</dc:creator><media:content url="/api/media/28efd81b-90d1-4424-affa-0b0368e04529.png" medium="image"/><category>AI News</category><category>open-weights</category><category>ai-coding-agents</category><category>mixture-of-experts</category><category>ai-models</category><category>benchmarks</category><author>Sarah Chen</author></item><item><title>Cursor: Is the AI Code Editor Worth Its Credit Bill in 2026?</title><link>https://teqvolt.com/reviews/cursor-ai-code-editor-review-2026/</link><guid isPermaLink="true">https://teqvolt.com/reviews/cursor-ai-code-editor-review-2026</guid><description>Cursor is the most capable AI code editor you can buy in 2026 - and its credit-based pricing is the most misunderstood line in your dev budget. Our full review.</description><pubDate>Fri, 31 Jul 2026 06:13:12 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="/api/media/640cbee8-90aa-41ee-8e47-cc13152f4d84.png" medium="image"/><category>Reviews</category><category>developer-tools</category><category>ai-coding-agents</category><category>productivity</category><category>enterprise-ai</category><author>Marcus Rivera</author></item><item><title>Meetily: The Open-Source AI Notetaker That Runs 100% Local</title><link>https://teqvolt.com/open-source/meetily-open-source-local-ai-meeting-notetaker/</link><guid isPermaLink="true">https://teqvolt.com/open-source/meetily-open-source-local-ai-meeting-notetaker</guid><description>With 27K GitHub stars and an MIT license, Meetily transcribes and summarizes your meetings entirely on your own machine, no cloud and no data exfiltration.</description><pubDate>Thu, 30 Jul 2026 07:11:41 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="/api/media/ddb5c2b8-41cc-4e6e-aad8-696f37f69459.png" medium="image"/><category>Open Source</category><category>open-source</category><category>local-llm</category><category>productivity</category><category>voice-ai</category><category>developer-tools</category><author>Marcus Rivera</author></item><item><title>RoPE: The Rotary Embeddings Behind Every Modern LLM</title><link>https://teqvolt.com/deep-dives/rope-rotary-position-embeddings-explained/</link><guid isPermaLink="true">https://teqvolt.com/deep-dives/rope-rotary-position-embeddings-explained</guid><description>RoPE encodes position as rotation, giving transformers word order for free and powering nearly every modern LLM. Here is how it works, and how it scales.</description><pubDate>Thu, 30 Jul 2026 07:11:41 GMT</pubDate><dc:creator>Aisha Patel</dc:creator><media:content url="/api/media/c97c2f64-6d76-442d-bfeb-26fabb0d86e6.png" medium="image"/><category>Deep Dives</category><category>llm</category><category>ai-models</category><category>fine-tuning</category><category>inference</category><author>Aisha Patel</author></item><item><title>FLUX 3: Black Forest Labs&apos; One Model for Video, Audio &amp; Action</title><link>https://teqvolt.com/ai-news/flux-3-black-forest-labs-multimodal-model/</link><guid isPermaLink="true">https://teqvolt.com/ai-news/flux-3-black-forest-labs-multimodal-model</guid><description>Black Forest Labs&apos; FLUX 3 is a single multimodal model that generates 20-second video with native audio, edits images, and even predicts robot actions.</description><pubDate>Tue, 28 Jul 2026 06:16:47 GMT</pubDate><dc:creator>Sarah Chen</dc:creator><media:content url="/api/media/d423fe3f-2227-4b38-9652-61ce321560a2.png" medium="image"/><category>AI News</category><category>ai-models</category><category>multimodal</category><category>video-generation</category><category>black-forest-labs</category><category>open-weights</category><author>Sarah Chen</author></item><item><title>Bumblebee: Perplexity&apos;s Read-Only Dev Endpoint Scanner</title><link>https://teqvolt.com/open-source/bumblebee-perplexity-supply-chain-scanner/</link><guid isPermaLink="true">https://teqvolt.com/open-source/bumblebee-perplexity-supply-chain-scanner</guid><description>Perplexity open-sourced Bumblebee, a read-only Go scanner that inventories packages, editor extensions, and MCP configs on developer laptops to find supply-chain exposure.</description><pubDate>Tue, 28 Jul 2026 06:16:47 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="/api/media/1879e407-6779-449b-b0a6-17454814f34f.png" medium="image"/><category>Open Source</category><category>open-source</category><category>developer-tools</category><category>cybersecurity</category><category>supply-chain-security</category><category>mcp</category><author>Marcus Rivera</author></item><item><title>Grok Build: xAI Open-Sources Its Rust Terminal Coding Agent</title><link>https://teqvolt.com/open-source/grok-build-xai-open-source-rust-coding-agent/</link><guid isPermaLink="true">https://teqvolt.com/open-source/grok-build-xai-open-source-rust-coding-agent</guid><description>xAI published the full source of Grok Build, the Rust terminal agent behind its grok CLI, under Apache 2.0. Here&apos;s what you actually get to fork.</description><pubDate>Mon, 27 Jul 2026 06:30:09 GMT</pubDate><dc:creator>Marcus Rivera</dc:creator><media:content url="/api/media/71c6d76f-f1b9-4dba-9954-0e9d08486fd2.png" medium="image"/><category>Open Source</category><category>open-source</category><category>ai-coding-agents</category><category>developer-tools</category><category>ai-agents</category><category>mcp</category><author>Marcus Rivera</author></item><item><title>EU AI Act Article 50: The Transparency Rules That Weren&apos;t Delayed</title><link>https://teqvolt.com/ethics/eu-ai-act-article-50-transparency-rules-not-delayed/</link><guid isPermaLink="true">https://teqvolt.com/ethics/eu-ai-act-article-50-transparency-rules-not-delayed</guid><description>The Digital Omnibus delayed the AI Act&apos;s high-risk regime, but EU AI Act Article 50 transparency duties and their fines still land on August 2, 2026.</description><pubDate>Mon, 27 Jul 2026 06:30:09 GMT</pubDate><dc:creator>Aisha Patel</dc:creator><media:content url="/api/media/b30201b4-cc93-4ac3-b116-71e962a55beb.png" medium="image"/><category>Ethics &amp; AI</category><category>ai-regulation</category><category>ai-ethics</category><category>ai-policy</category><category>deepfakes</category><author>Aisha Patel</author></item><item><title>Claude Opus 5: Near-Frontier Intelligence at Half the Price</title><link>https://teqvolt.com/ai-news/claude-opus-5-near-frontier-half-price/</link><guid isPermaLink="true">https://teqvolt.com/ai-news/claude-opus-5-near-frontier-half-price</guid><description>Anthropic&apos;s new default flagship approaches Fable 5&apos;s intelligence at half the price, holds pricing flat at $5/$25, and posts its lowest misalignment score yet.</description><pubDate>Sun, 26 Jul 2026 07:40:51 GMT</pubDate><dc:creator>Sarah Chen</dc:creator><media:content url="/api/media/4e74bfa8-17aa-4258-8473-73844ca2b90e.png" medium="image"/><category>AI News</category><category>anthropic</category><category>ai-models</category><category>benchmarks</category><category>ai-agents</category><category>enterprise-ai</category><author>Sarah Chen</author></item></channel></rss>