There's an open-source home robot vacuum you can actually build yourself.
It's called OOMWOO.
Runs on a Raspberry Pi with 2D LiDAR mapping, ROS2 navigation, and native Home Assistant integration. No cloud dependency, no vendor lock-in.
The team spent real time researching before designing it. They reviewed the entire 2025-2026 robot vacuum market, from budget to flagship, and found real-world cleaning doesn't track advertised suction power.
The anti-tangle brush design alone is worth mentioning. A tapered rubber roller that resists hair-wrap, one of the most common complaints with commercial models, easy to 3D-print yourself.
If you've got a Raspberry Pi and a 3D printer sitting around, this is a genuinely interesting weekend project.
Applications for #Chevening Scholarships are now open!
If you’re a future leader who’s ready to influence positive change in areas of shared priority for your country and the UK, this could be the opportunity you’ve been waiting for.
With a Chevening Scholarship, you’ll gain:
🎓 A world-class education
🤝 A lifelong relationship with the UK
🌎 Access to a global network of influential leaders
Find out if you're ready to apply: https://t.co/XW1AuQ4TJz
Applications close on Tuesday 6 October at 11:00 (UTC).
#IAmChevening
Went to JPN for IC stuff, rupanya KDN ada mula terbitkan buku Modul Ujian Pengetahuan BM.
Usually utk peperiksaan jadi warganegara, ada soalan lisan dan karangan, sama seperti SPM, tapi sblm ni mereka yang ambil tiada rujukan nak tahu apa utk prepare for. So this is pretty nice!
Build an AI agent to manage a virtual farm: harvest crops, care for animals, boost yields, expand your land, and trade on a dynamic market where prices react to supply and demand.
Kaggriculture, hosted by @Kaggle and @Google, is live!
💰 Total Prize Pool: $50,000
⏰ Entry Deadline: September 23, 2026
It’s incredible that you can let Opus 5 run for two hours in Claude Code and get a cinematic Three.js movie inside one HTML file.
It created the story, scenes, transitions, camera moves, and procedural world. Higgsfield generated the narration, sound effects, and music.
I mostly helped with references for more realistic grass, added the skills I use, and asked it to keep verifying its work.
It’s all open source, so you can play with the code.
HTML Site:
https://t.co/ntf8iLKfRo
GitHub:
https://t.co/na5ERIv0Nj
Grass reference: https://t.co/j7JpJ32d9M
매주 목요일 저녁 (미국 기준) / 금요일 오전 (한국 기준)에 온라인 오피스아워를 운영할 예정입니다. 주로 진로 고민이나 학업, 연구 생활에 대한 조언이 필요한 분들을 위한 시간이지만, 다른 주제도 편하게 이야기 나누면 좋을 것 같습니다. 🧑🦰📚❔
https://t.co/NO25aan1CK
- : This is a hyphen.
– : This is an en-dash.
— : This is an em-dash.
The hyphen is used to connect words, like you say. Ex: Twenty-two, ex-boyfriend.
The en-dash is used in the context of a span of time. Ex: 1996–2018, February–March.
The em-dash is used when inserting a thought. Ex: He wouldn't—couldn't—go home.
📢Meet Qwen3.8-Max — our most capable model to date.
Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉
Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters:
- Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub:https://t.co/iVHZWQoeSo
- Real work, real results: Production-quality deliverables across hundreds of professions.
- Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy.
- Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction.
💰Pricing:
Input: $2.0 / M tokens
Output: $6.0 / M tokens
Implicit Caching: $0.25 / M tokens
Start building with Qwen3.8-Max! 🚀
📖 Blog: https://t.co/iwjmQxLBof
✅ Qwen Studio: https://t.co/4V2pFvDovG
⚡ API: https://t.co/gAGqaLQGbN
Then we do a simple test, which we learnt from Justin Keogh.
Sit in a chair, cross your arms over your chest, and stand up five times.
If it takes longer than 10 to 15 seconds, or you need to push up with your hands, that is your warning.
Bring it up with your doctor.
You are still early. Extremely early!
Updated July 2026:
Each dot = ~3.3 million people
2,500 dots = 8.3 billion humans
Gray: Never used generative AI → 5.9 billion (71%)
Green: Free chatbot users → 2.3 billion (28%)
Yellow: Pays for AI → ~80 million (1%)
Red: Uses coding agents → ~12 million (0.14%)
Most of humanity still has no idea what’s coming.
~2% of U.S. households pay for AI subscriptions.
We’re not even close to mainstream yet.
Source: https://t.co/3Jmpfqh11e (July 2026)