#Tutorial/How-to

AIHamel Husain has published a longer review of a new Claude Auto Eval plugin after many users asked about it. He invites readers to share their experiences using the plugin and how it went for them. The plugin is part of Claude's ability to help build evaluations and hillclimb on them, as described by @ClaudeDevs.

AINVIDIA announced a livestream tomorrow at 9 a.m. PT in which it will build a visual AI agent from a single prompt. Viewers are invited to bring their questions to the session.

AIFireworks AI has made GLM 5.3 Flash available for training through its Serverless Training API, open to all users. The model supports both vision and text inputs. Fireworks says it performs well on its benchmarks for agentic coding, document analysis, and tool use while remaining cost-efficient to serve.

AITerminal test runs miss multi-turn agent regressions, so Agent Clinic Episode 3 builds an automated eval suite for a LangGraph agent in 60 minutes. The post presents a four-step framework for moving from informal checks to benchmarking AI agents, with a link to the full guide.

AIGoogle Cloud Tech promotes a Medium article titled "How to run open models in the cloud without going broke." The post contains only a link and no further details about the methods, models, or costs discussed.

AIGoogle Cloud recommends limiting accelerator count to a single GPU, setting replica count to 1-1, and avoiding capacity reservations to keep monthly bills predictable. These strict hardware limits apply to auto-scaling configurations for AI workloads.

AIGoogle Cloud recommends Spot VMs for developer and agent testing workflows that tolerate interruptions and do not need continuous uptime. Spot VMs use spare Google Cloud compute capacity at deep discounts.

AICursor's Eric Zakariasson shared a game-builder skill he has been using to build games with new models. The skill can be installed with the command npx skills add ericzakariasson/skills --skill game-builder.

AINVIDIA says a single prompt can build and deploy a visual AI agent for a manufacturing line in under 30 minutes, with alerts, video search, and incident reports. The method uses the new Build Vision AI skill in NVIDIA VSS Blueprint 3.3, and a tutorial is available for readers who want to build one.

AICognition posted a link to a customer story about how Crosby Legal uses Devin, showing the approach the firm took. The post itself gives no further details on the results, workflow, or figures.

AIAnt Ling can convert plain-language prompts into standalone, interactive Three.js pages covering topics such as an internal combustion engine, an optical-disc reader, paramecium organelles, and vector-field divergence. The output is runnable code rather than just an explanation.

AIAnt Ling reports that its Ling-3.1-flash model completed a roughly 20-hour Rust port of a C image library. After a performance regression caused by busy-waiting workers and a parallelism adjustment, the model recovered and reached an 8.015× speedup. All 30 correctness checks passed.

AINVIDIA and Nous Research published a hands-on walkthrough of NVIDIA NeMo Relay for collecting traces from Hermes Agent. The guide runs two example scenarios and shows the agent's calls and retries in Arize Phoenix. It also covers how Nous used traces and task results to evaluate fixes across repeated runs.

AIAgentic data science has AI agents explore datasets, choose modeling approaches, run analyses, and explain findings while data scientists frame questions and verify evidence. In an experiment, Claude Opus 5.0 given the vague prompt "Build me a model to detect fraudulent nodes" on a modified Elliptic Bitcoin dataset reported F1 0.87 and ROC AUC 0.99 using a random split that leaked a planted label proxy.

AIGemini now lets users save custom skills to reuse instructions across tasks. The post suggests using them to outline presentation slides and prep Q&A, draft emails in a personal voice with Google Workspace context, and explore three to five perspectives on a topic.

AIGoogle Gemini now offers skills, which are saved sets of instructions for specific tasks you repeat often. The post describes them as shortcuts that let users skip repetitive prompting and go straight to results.

AIIdeogram 4.5 turns a single room photo into a design canvas where furnishings, finishes, and palettes can be swapped one edit at a time. The room's architecture stays unchanged throughout the edits.

AIIdeogram recommends restoring an old photo in stages: first remove scratches and damage, then add color, then enhance. The post says trying to fix everything in a single prompt rarely works, so multi-turn editing lets each edit be refined separately.

AIGoogle Cloud introduced GKE Agent Substrate, an open-source execution runtime it says can run millions of sandboxes with 10x higher density than standard container runtimes. It also made GKE Agent Sandbox optimized for reinforcement learning generally available, alongside an orchestration SDK and native RL gym integrations. Google said GKE Pod snapshots can reduce AI inference start-up by as much as 89%, based on internal tests.

AINVIDIA announced a new approach to building edge AI through agentic development on NVIDIA Jetson, presented in a broadcast. The post provides no further technical details, figures, or availability information.

AIHamel Husain advises starting with broad exploration of production traces, then using signals to locate likely failures. He recommends keeping some random traces in every review batch so new problems can still be discovered.

AIThe author, whose earlier device was flagged so the account got banned within about half an hour, reports a new Claude account has run stably for six days. The shared tips include logging in with a Google account, using a home static IP, a clean new device, timezone set to Taiwan, paying via Google Play, starting at the $20 Max tier, and running Claude on a single always-on Mac Mini accessed remotely.

AILocal and desktop agents such as Claude Code and Codex are powerful largely because they can use the shell, which connects them to the whole CLI ecosystem. The post lists tools including git, ffmpeg, curl, pandoc, gh, cron, and ssh as examples. It also says the video itself was produced by an agent operating the shell.

AIAfter switching models, can I continue the original session? If so, I really want to keep this menu bar, so I don't have to re-explain the project every time I change models.

AIHamel Husain reviewed Anthropic's new build_eval and hill-climb commands in the claude-api plugin for Claude Code, finding it useful for discovering issues like human handoff, formatting, and voice agent problems. He criticized it for pushing evaluator creation before data review, asking for label validation in Markdown files, and bundling four failure checks into one broad call-transfer evaluator. Husain says he would hold off on using it for now.

AIKling AI says Kling 4.0 will support native video generation from 3 to 30 seconds, with up to 10 keyframes for timing control. The full model is scheduled for October 2026, with early access to the new creation page rolling out from September 28.

AIGitHub shared a video about the making of one of its most starred repositories. The post links to a YouTube video and gives no further details about the project or its development.

AIGoogle Developers Blog describes how Sparse VideoGen (SVG) routes video diffusion attention heads into spatial or temporal sparse masks and implements them as custom JAX and Pallas Splash Attention kernels on TPU v6e. In isolated single-chip tests with 75.6K tokens and 10 heads, the sparse variants retain about 38.87% of query-key pairs. The article argues that theoretical sparsity must be converted into hardware tile skipping to yield real speedups.

AIJulien Chaumond, who owns Hugging Face, recommends a DGX Spark guide written by @0xSero and published on the Hugging Face blog. The post itself gives no further technical details about the handbook's contents.

AILiquid AI has published documentation for its decision models, including a models page, a migration guide, and a road-decider demo tutorial on GitHub. The post contains links only and gives no model names, parameter counts, benchmark scores, or pricing.

AIAmjad Masad shared a post on designing and building a harness to reach frontier performance at a fraction of the cost. The post itself gives no specific models, benchmarks, or figures, and the linked article from @pirroh supplies the background context.

AIDeedy describes a video generation pipeline built around Opus 5.5 in Claude Code, routing image, video, audio, and TTS models through OpenRouter's single API key. The workflow adds reference-image consistency, animatics before full renders, a critic skill that screenshots and transcribes output for QA, and ffmpeg for most editing.

AIDatabricks says it aims to give its employees the best models on launch day, quickly adopting new releases such as Opus 5.5 and GPT-6 Sol while tracking real-world usage and cost. Its AI engineering team uses Unity Gateway to manage access, spend, and model selection across thousands of employees, and to decide which models join its AI stack.

AISebastian Raschka has published a comprehensive write-up on language models for text classification, covering RNNs, CNNs, transformers, and calibration. It is presented as a visual guide with hands-on experiments on accuracy and efficiency.

AIThe author argues that carefully crafted wording-level prompts have almost no effect in 2026, and that clear intent plus sufficient context matters most. Reusable prompt components are being absorbed into agent skills and context tools, while harnesses and models internalize more capability, leaving little room for prompting.

AIQuick video: "Git in 100 Seconds: What Everyone Should Know in the Agent Era" === Though most followers already know git, I made the video anyway, so here it is 🤣

AISebastian Raschka traces text classification from bag-of-words models such as naive Bayes and logistic regression through pre-transformer neural networks, then sets up an analysis of the recently released Jev AI model. The article frames Jev as a general-purpose classifier that trades specialized accuracy for speed, cost, and breadth of tasks.

AIThe webinar presents IC-STAR, an autonomous AI approach that shifts silicon engineers from manually managing tools and handoffs to defining objectives and supervising AI-driven execution across the chip development lifecycle. It covers four enabling technologies and includes a look at Ambiq's production deployment of autonomous AI. The source provides no performance figures or availability details.

AIThomas Wolf, owner of the Hugging Face account, posted the single word "impressive" in response to a quoted post. The quoted post reports a new NanoGPT training record of 39.9s, down 27.7s from the prior 67.6s, achieved through per-flop optimizations such as sampled softmax and sparse updates.