OpenAI Building Robots? How to Quickly Make a Glitch-Free Video

A friend recommended this "AI checks news then writes script" workflow, so I tried to see how useful it actually is. Conclusion first: it's worth beginners trying out once, especially suitable for topics like OpenAI robots where there's lots of noise, heavy emotion, but little official info. Recommended. But it can only help you break down facts; it can't judge whether a stock is buyable.

These past few days, I've been testing robot dog videos and just started on humanoid robot topics. Coincidentally, OpenAI mentioned robots, and comments asked if they would replace humans. I didn't want to just read headlines, so I ran through the process.

Let's speak plainly. OpenAI Robotics is the internal team responsible for robotics at OpenAI, not a humanoid robot already sold for home use. Sam Altman posted a recruitment notice on June 1st: short-term robots assist technical workers in building infrastructure, i.e., jobs like construction sites and power grids; the long-term vision is one robot per person. Note: no robot has been released yet.

Tutorial begins.

1. Prepare tools.

I used ChatGPT here, having used it for about a month. DeepSeek and Kimi also work; I've used each for about a month. Open the webpage and click New Chat in the top left corner.

2. Paste the original text.

Copy the news summary and paste it into the input box. The prompt is the instruction given to the AI; enter the following sentence.

"Divide the following news into four categories: Official Announcement, Media Report, Future Vision, Speculation. Base it solely on the original text; do not add anything."

After seeing the reply, expect it to categorize recruitment as official, one-per-person as vision, and job replacement as speculation. Official announcements are what the company says itself; future visions are goals that haven't happened yet.

3. Let AI create a fact table.

Continue entering.

"List verifiable facts in a table: Time, Person, Action, Evidence, Risk."

It will give you a fact table, clearly listing what can be confirmed. If it starts writing about OpenAI mass-producing robots (mass production means large-scale manufacturing), ask back: where did the original text mention mass production? If not, delete it.

This step is crucial; beginners most easily mistake visions for news.

4. Generate a 30-second script.

Enter the following sentence.

"Write a 30-second script in short-video voiceover style. Requirements: first sentence not exaggerated, middle only covers confirmed facts, end reminds viewers not to hype concepts."

Voiceover means speaking to the camera. In my tests, DeepSeek dares to write more boldly, Kimi is steadier, and ChatGPT has clear structure. After seeing the script, expect roughly around three hundred words.

5. List material checklist.

Have AI output suggestions for visuals, subtitles, and B-roll. B-roll is supplementary footage without speech. Enter the following sentence.

"Help me list 5 shootable scenes, no copyright infringement, no fake news screenshots."

It will list the checklist. I film computer screens, record ChatGPT conversations, and find robot dog videos for analogy.

Pitfalls.

The first time, I didn't restrict "base solely on original text," so the AI mixed other robot companies into the OpenAI team, resulting in a mess. Later, adding "mark as uncertain if no clear relationship" cleaned it up.

Three common mistakes for beginners: believing titles immediately when reading news—first separate official, vision, and speculation; asking AI to summarize—instead ask it to list evidence and risks; not checking time before publishing—mark that it hasn't been released yet.

This workflow has pros and obvious cons. Pros: fast, breaks emotional news into shootable content, free or low-cost, suitable for short videos. Cons: AI fills in plots, requiring human verification of sources; doesn't understand hardware and component supply, so it can't serve as industry analysis.

Conclusion: Recommended, but only for topic verification and script drafts. Not recommended for judging if a robot company is worth investing in.

After learning this, the next step is to try using the same prompts to verify if a robot dog video is AI-generated.