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Article URL: https://www.youtube.com/watch?v=6v4Juzn10gM

Comments URL: https://news.ycombinator.com/item?id=46935248

Points: 1

# Comments: 0

Article URL: https://spectrum.ieee.org/3d-modeling-blind-programmers

Comments URL: https://news.ycombinator.com/item?id=46935240

Points: 1

# Comments: 0

Hi HN,

I’m building an AI video playground where people can try different text-to-video models in one place. We recently added support for Seedance 2.0, ByteDance’s latest video model, and I thought some of you might like to experiment with it.

https://laike.ai/tools/seedance-2

A few things that stood out when testing Seedance 2.0:

It often generates multi-shot sequences instead of a single static shot

Motion can be quite smooth compared to earlier T2V models

It supports native audio generation

Prompts with camera movement or cinematic language tend to work well

The goal of the site isn’t just Seedance — it’s to let people compare different video models under a similar interface. I found it frustrating that every model lives in a separate UI with different credit systems and prompt formats.

Some honest notes:

Outputs are still inconsistent

Prompting quality matters a lot

Long narrative coherence is hard for all current models

Running these models is expensive, so there are usage limits

If you’re experimenting with generative video, I’d love to hear:

What prompts work well for you

Where current models fail

What tooling you wish existed around text-to-video

Happy to answer questions about the product or setup.

Comments URL: https://news.ycombinator.com/item?id=46935234

Points: 1

# Comments: 0

Article URL: https://www.forrester.com/press-newsroom/forrester-impact-ai-jobs-forecast/

Comments URL: https://news.ycombinator.com/item?id=46935223

Points: 1

# Comments: 0

Article URL: https://k2xl.substack.com/p/planning-at-meta-is-waterfall

Comments URL: https://news.ycombinator.com/item?id=46935216

Points: 2

# Comments: 1

Article URL: https://www.nature.com/articles/d41586-026-00388-0

Comments URL: https://news.ycombinator.com/item?id=46935214

Points: 3

# Comments: 1

Article URL: https://robot-daycare.com/posts/2023-07-18-balancing-leg/

Comments URL: https://news.ycombinator.com/item?id=46935196

Points: 1

# Comments: 0

Article URL: https://gionn.net/2026/google-sheets-yahoo-finance-fix/

Comments URL: https://news.ycombinator.com/item?id=46935183

Points: 1

# Comments: 1

Article URL: https://sqfty.app/

Comments URL: https://news.ycombinator.com/item?id=46934723

Points: 1

# Comments: 0

Article URL: https://thehustle.co/originals/the-economics-of-dog-shows

Comments URL: https://news.ycombinator.com/item?id=46934710

Points: 1

# Comments: 0

Article URL: https://github.com/OlaProeis/dotfiles-coach

Comments URL: https://news.ycombinator.com/item?id=46934675

Points: 1

# Comments: 0

Article URL: https://bitbo.io/dead/

Comments URL: https://news.ycombinator.com/item?id=46934663

Points: 1

# Comments: 0

Been using both OpenClaw and Claude Cowork for automating workflows and noticed they take fundamentally different approaches to extensibility. OpenClaw relies on local skills — scripts that run on your machine, read files, control browsers, execute shell commands. Powerful for local automation, but everything runs in your environment and you're limited to what someone has written as a skill. Claude Cowork supports MCP (Model Context Protocol) servers, which opens up a completely different model. With something like Composio/Rube, Cowork can directly interact with 500+ apps — Slack, GitHub, Google Workspace, Twitter, Notion, CRMs — all through authenticated API connections. No scraping, no brittle browser automation, just native tool calls. It can also chain these together: read a GitHub PR, summarize it in Slack, create a follow-up task in Asana, all in one workflow. The gap feels significant. OpenClaw gives you a self-hosted Swiss Army knife for local tasks. Claude Cowork with MCP gives you an orchestration layer that talks to your entire SaaS stack natively. For those using either or both — is the MCP approach as much of a leap forward as it seems? Or does the self-hosted flexibility of OpenClaw still win for certain use cases?

Comments URL: https://news.ycombinator.com/item?id=46934662

Points: 1

# Comments: 0

Article URL: https://thecradle.co/articles-id/35816

Comments URL: https://news.ycombinator.com/item?id=46934660

Points: 2

# Comments: 0

Article URL: https://blog.dwac.dev/posts/cat-debugging/

Comments URL: https://news.ycombinator.com/item?id=46934659

Points: 1

# Comments: 0

I've put together a curated collection of papers on computational morphology papers organized by venue and year, with bib entries for each paper. PRs are welcome!

https://github.com/akki2825/computational-morphology-lit

Comments URL: https://news.ycombinator.com/item?id=46934636

Points: 1

# Comments: 0

I wanted to find new hobbies for myself, something that involves more physical stuff compared to only code. How did you started on your journey with robotics, what's handy to learn in the first place? I know only basics about embedded programming and I'd need to brush up of my physics skills. I don't have a set goal in my mind, only exploring for the time being.

Comments URL: https://news.ycombinator.com/item?id=46934622

Points: 1

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Article URL: https://singularitea.bearblog.dev/tech-debt/

Comments URL: https://news.ycombinator.com/item?id=46934608

Points: 2

# Comments: 0

Article URL: https://v2.tauri.app/

Comments URL: https://news.ycombinator.com/item?id=46934603

Points: 1

# Comments: 0

Article URL: https://www.skidetica.com/manifesto

Comments URL: https://news.ycombinator.com/item?id=46934600

Points: 1

# Comments: 0