AI reverse engineering, Now you can now pair an Apple Watch Ultra-2 with Android.
This open-source tool connect an Apple Watch to Android devices instead of being locked to iPhone.
- and manage parts of the watch from a non-Apple phone.
- Android version currently requires Root Magisk.
- Full feature parity isn’t here yet, but pairing, basic management, and interface control already work.
- https://t.co/O8Fu85PgfB
Gemini 4 Argon is here! It is our frontier model built for complex workflows across real-world software engineering, tested across Google's own codebases on real production challenges. There, we have seen an improvement in both developer velocity, with a 35% increase in agentic code, and code quality, with a 30% decrease in post-submit rollbacks.
Rolling out now to Google AI Ultra subscribers, try it in the Antigravity app and the Antigravity CLI. Get inspired with what you can build today ↓
Ini agak pelik mbak, krn lisensi open source itu macem2. Tergantung repo-nya pake lisensi apa.
Beda2 lisensi open source
- MIT / BSD, bebas dipake komersial, cukup cantumin credit
- Apache 2.0, mirip MIT, plus ada perlindungan paten
- GPL, boleh komersial, tp app yg pake kodenya wajib ikut open source
- AGPL, kek GPL, dan berlaku jg buat app SaaS / di server
- Dual license, gratis buat non-komersial, buat komersial perlu izin
Contoh, misal repo-nya MIT
- company itu sebenernya udah boleh pake tanpa izin
- mereka mau ngabarin dulu itu udah baik bgt
- mbak tetep bisa minta credit yg jelas
Contoh lain, misal dual license
- pemakaian komersial wajib izin
- kesepakatannya bisa persen dari revenue
- atau sekali bayar
Rekomendasiku yg paling nguntungin
- ajak business partnership, mereka butuh simulatornya jadi mbak punya posisi tawar
- minta lisensi komersial berbayar, flat per tahun biar gampang
- minta credit + link ke project mbak di app mereka, promosi gratis
- minta akses gratis buat guru dan sekolah
- simulator baru ke depan pake dual license (AGPL + komersial)
Cek dulu file LICENSE di repo-nya, dari situ ketauan posisi tawarnya.
A big % of tech people don't get it
Normies won't ask "build me software"
They will ask "I have this photo and I want to manually edit it" and it will spin up a Photoshop clone
They will ask "I need to know if sales are going up or down this quarter from all different ecommerce platforms we use" and it will spin up an analytics dashboard connecting all APIs with scheduled crons that keeps it up to date forever
They already do!
They won't know they're building software because their AI app/agent will do it for them
And then they'll stop using most regular software!
Di luar Jakarta, masih banyak yg nganggep transportasi publik tuh beban bahkan sampe dianggep penghambat rejeki.
Di Jakarta yg nganggep begini cuma segelintir supir angkot biasa doang.
Dari cara pandang ny aja udah keliatan bgt ketimpangan nya.
Dan solusi nya, kopdes.....
So we adapted the Mendeley plugin for ONLYOFFICE on Linux, with support for inserting citations and generating bibliographies.
It's open source, and contributions are welcome!
https://t.co/LwD2cjWgqn
Ever had to switch between Linux and Windows just to add citations to your paper or thesis?
I started this project with https://t.co/lntU78ccDG to make academic writing on Linux easier
So we adapted the Mendeley plugin for ONLYOFFICE on Linux, with support for inserting citations and generating bibliographies.
It's open source, and contributions are welcome!
https://t.co/LwD2cjWgqn
So we adapted the Mendeley plugin for ONLYOFFICE on Linux, with support for inserting citations and generating bibliographies.
It's open source, and contributions are welcome!
🔗 https://t.co/LwD2cjWgqn
Updates for Android skills and Android CLI are here! 📱
We’re covering updates such as Android Device Streaming in Android CLI, a new skill to help you catch memory leaks, and a deep dive into the Wear Compose Material 3 skill → https://t.co/w6lPaWjgoV
@Joshua_WD@coppeliaRobotic Exactly, Giving the agent eyes on the physical state turns trial and error into actual spatial problem solving. Still lots to explore with this setup
Been experimenting with giving an AI agent an actual environment to interact with instead of just a chat interface.
I built a small MCP setup for @coppeliaRobotic , and started testing how far an agent can go when it can actually interact with a robot simulator.
@Joshua_WD@coppeliaRobotic Just ran into this. Local controller handles micro drift along the spline, but when the robot got pinched by a tight corner, the agent caught it from post run visual snapshots, widened the corridor, and solved the maze on the next iteration.
@coppeliaRobotic On the second test, the agent could generate a maze, plan a path, control the robot, and evaluate the result until it reached the goal.
Still experimenting with this agent → environment → action → evaluation loop.