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AGILINK's Robot Hand Just Learned 2,500-Year-Old Silk Embroidery

A robot just apprenticed under a master craftswoman — and learned one of the hardest crafts on Earth. Chinese robotics firm AGILINK, a spin-off of humanoid giant AgiBot, has released a demonstration of its OmniHand 3 Ultra performing Suzhou embroidery, a Chinese silk art with more than 2,500 years of history. The teacher: Fu Xianghong, a master of the craft. The student: a 21-degree-of-freedom robot hand that learned to split a single silk thread into 16 strands, thread a needle, stretch fabric on a frame, and stitch. Silk is a nightmare for robots Silk is one of the most delicate, deformable materials a robot can touch — it bends, slips, and changes shape with the slightest contact. In the demo, one finger teases the thread's strands apart while the others hold tension, and twisting the thread requires opposing fingertips to stay in contact while it rotates. Threading a needle and stitching add even more demands on positioning, force, and coordination. The hardware behind the tric...

I Let AI Plan My Meals for a Week — Here's What Happened

AI meal planning illustration — a week of healthy meals arranged on a calendar, titled I Let AI Plan My MealsI handed my fridge, my schedule, and my questionable cooking skills to AI for seven days. Three different tools, one week of eating, zero recipe hunting on my part. Here's what actually happened.


The Setup: Three Tools, One Hungry Tester


I split the week across three approaches. ChatGPT's free tier got the job of building a full 7-day vegetarian plan: 30-minute meals max, tight grocery budget, one consolidated shopping list. Eat This Much (free tier, Premium runs about $9 a month) handled the macro-math side — calories and protein targets, auto-generated menus. And Samsung Food (free tier, Plus upgrade around $7 a month) managed the recipe organization and grocery lists. One week, three AIs, one rule: no improvising, no ordering in.


What Worked Shockingly Well


The grocery list automation was the real star. Every tool produced a consolidated shopping list, and I made exactly one store trip all week. No mid-week "we're out of everything" runs. Variety was the second win — I cooked dishes I'd never have searched for on my own, because the AI just put them in front of me. And the budget held: planning a full week killed the impulse buys that usually sneak into three unplanned store visits. If you track macros, Eat This Much genuinely nails the numbers — it treats food as fuel and does the arithmetic you never would.


Where the AI Chef Dropped the Spoon


The macro-first approach has a flavor problem. Some Eat This Much dinners hit the protein target perfectly and tasted like a spreadsheet — plain turkey next to plain beans is nutrition, not dinner. ChatGPT's plan needed a reality check every single day: it invented quantities, assumed I owned twelve spices I'd never heard of, and occasionally scheduled 45-minute recipes in my "30 minutes max" plan. And the free-tier walls are real — Eat This Much's free plan only covers about a day at a time, so a full free week isn't actually possible without paying up. Framing matters: every price I quote here can change fast.


AiPost's Take: Should You Try It?


Yes, if you hate the 6pm "what's for dinner" panic, throw away food every week, or want a grocery list without thinking. Skip it if you cook by feel or have dietary needs the apps model badly. And here's the money-saving secret: you don't need three subscriptions. A free chatbot writes a perfectly good weekly plan, a free grocery-list app handles the store run, and that's 90% of the value. AI is a great meal-planning intern — just don't hand it the whole kitchen unsupervised.

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