Depth Anything V2
TrialTools
A depth estimation model referenced as an example for building a custom block.
Why it's here
Placed in Trial: 15 article(s) of evidence from 5 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 89%.
Evidence (15)
- 8The New Stack·8/27/2026researchBenchmarking Shows AI Coding Harnesses Can Drive 70x Token Differences
Recent benchmarks compared multiple AI coding harnesses running the same underlying models and found large differences in token usage and cost. The results suggest that harness design, including prompt overhead and turn count, can matter as much as the model itself when pricing coding agents.
- 6The New Stack·8/26/2026product_launchClaude Desktop can now use Qwen, DeepSeek and Kimi models through Ollama
Ollama has added a new integration that lets Claude Desktop connect to third-party models served through Ollama, including local and cloud-hosted options. The update restores a feature that previously broke after a Claude Desktop change and now allows users to choose models such as Qwen, DeepSeek, Kimi, and GLM inside Anthropic’s app.
- 7Hacker News·8/21/2026researchStudy Finds AI Helped Homework Scores but Hurt Exam Performance
A study of 27,000 students in China found that those using AI tools had higher homework scores over six months, but scored lower on exams taken without AI assistance. The findings, covered by The Economist and discussed on Hacker News, add evidence to concerns that AI can improve short-term task performance without strengthening independent learning.
- 6Simon Willison·8/17/2026breakthroughQwen 3.8 27B reaches 52 on Artificial Analysis index
Simon Willison highlights that Qwen 3.8 27B scored 52 on the Artificial Analysis Intelligence Index. He notes this matches GPT-5.6 Luna (max) and trails GLM-5.2 (max) and DeepSeek V4 Pro 0813 (max) by one point, despite Qwen being only 27B parameters.
- 8The New Stack·8/15/2026model_releaseGrok 4.6 matches top model performance at lower cost
Grok 4.6 launched with performance that rivals or exceeds leading frontier models while keeping the same API price as Grok 4.5. The article argues that downloadable weights from competitors like DeepSeek and Qwen are increasingly capping what closed labs can charge, shifting competition toward routing and model selection rather than raw capability.
- 8Ars Technica AI·8/14/2026model_releaseOpenAI and Anthropic Cut Prices as Chinese AI Rivals Gain Users
Major US AI labs OpenAI and Anthropic are lowering prices on newer models to retain cost-sensitive customers, as companies look for cheaper alternatives amid rising AI usage costs. The pricing pressure is helping Chinese developers such as Moonshot and DeepSeek win users in markets including Silicon Valley and Europe.
- 7Hacker News·8/13/2026product_launchNetlify Adds OpenRouter Models to AI Gateway and Agent Runners
Netlify has partnered with OpenRouter to let projects use a wider range of models through its AI Gateway, while also expanding the coding models available in Agent Runners. The company says it tested identical prompts across multiple models to compare output quality, functionality, and credit efficiency for common site-building tasks. The report highlights newer open models such as Kimi K3, GLM 5.2, and DeepSeek V4, along with Netlify’s own AXIS evaluation tooling.
- 7Simon Willison·8/12/2026model_releaseDeepSeek V4 Pro 0813 released
DeepSeek V4 Pro 0813 is a new model release listed on OpenRouter and discussed heavily on Hacker News. The post appears to center on availability and access to the model rather than a broader product announcement or research paper.
- 8Hacker News·8/7/2026researchDeepSeek V4 Flash 0731 posts strong ARC-AGI benchmark results
DeepSeek announced V4 Flash 0731 with three reasoning variants and published benchmark results on ARC-AGI-1 and ARC-AGI-2. At maximum effort, the model reportedly scored 89.0% on ARC-AGI-1 and 61.4% on ARC-AGI-2 with low per-task costs. The post includes detailed task-level pass/fail results and links to the paper and model page.
- 6Hugging Face Blog·8/6/2026product_launchBaseten joins Hugging Face Inference Providers
Hugging Face has added Baseten as a supported Inference Provider on the Hub, expanding serverless model inference options on model pages and in the client SDKs. The initial rollout supports conversational and text-generation tasks, including access to models such as DeepSeek V4 Flash, Kimi K3, and GLM-5.2, with more tasks planned later.
- 7Hacker News·8/4/2026open_sourceDeepSeek V4 Flash Running on a Single AMD MI300X
A GitHub project claims to demonstrate DeepSeek V4 Flash running on a single AMD MI300X GPU. The repository appears to focus on making a large model fit and run efficiently on one accelerator, which is notable given the model’s scale and hardware demands. The post drew substantial Hacker News attention, suggesting strong interest in practical high-performance inference techniques.
- 2Simon Willison·8/2/2026open_sourceSimon Willison publishes July 2026 newsletter preview
Simon Willison posted an update announcing his sponsors-only monthly newsletter, with a preview of the June edition and a list of topics covered. The note highlights recent discussions of model behavior, several new model releases, and renewed interest in MCP, but it is primarily a newsletter announcement rather than a major product or research release.
- 4Simon Willison·7/31/2026researchSimon Willison Discusses Open-Weight AI Models
Simon Willison joined Bryan Cantrill and Adam Leventhal on the Oxide and Friends podcast to discuss a week of major AI news, centered on open-weight models competing with proprietary frontier systems. The conversation also covered AI security incidents, open-weight policy letters, and several broader digressions, with a note that some topics were already outdated by the time of publication.
- 5Hacker News·7/31/2026model_releaseDeepSeek V4 Flash 0731 ranks highly in model analysis
Artificial Analysis reports that DeepSeek V4 Flash 0731 (Reasoning, Max Effort) scores strongly on its Intelligence Index, placing it among the leading open-weight models in its size class. The model has a 1M-token context window, 13B active parameters out of 284B total, and relatively low input/output pricing compared with peers.
- 6Hugging Face Blog·3/5/2026open_sourceHugging Face introduces Modular Diffusers for composable diffusion pipelines
Hugging Face announced Modular Diffusers, a new way to build diffusion workflows from reusable blocks instead of writing full pipelines from scratch. The system works alongside DiffusionPipeline, supports custom blocks, and can be integrated with the Mellon visual workflow interface.