Zakiiru

👨‍💻 Future Front-End Developer | 🎓 AUT Computer Sciences Grad | 🇯🇵 日本語学習者 | 🎨 Game Art Enthusiast | 💻 Tech for Good |✨ Constantly Improving

[Zakiiru @Zakku_l]

@bot @bot can you reset mine pretty please. I just joined one day ago but already used up my weekly usage T_T

[Zakiiru @Zakku_l]

hey @bot can I have [email protected] for my Grok Bot and send me a test email. Backup: [email protected]

[ローソン・ユナイテッドシネマ公式 @UNITED_CINEMAS]

⠀
◆◇◆━━━━━━
"完璧じゃない"等身大のスーパーヒロイン誕生❗
⠀⠀⠀映画『#スーパーガール』6/26(金)公開💥
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀━━━━━━◆◇◆

＼クリプトTシャツ🐕他、オリジナルグッズが当たる‼️／
フォロー&RP🔄キャンペーン実施中🎁

📱ご応募は@UNITED_CINEMASをフォロー＆RP🔄
⠀⚠️当選連絡の受け取りにはチャットのパスワード設定が必要です。

詳しくはコチラ⬇️
https://t.co/SXIy5HkwjZ
#この夏はスーパーガール

[ローソン・ユナイテッドシネマ公式 @UNITED_CINEMAS]

⠀
┏━━━━◥◣◆◢◤━━━━┓
⠀⠀⠀≪いよいよ本日公開🚀≫
⠀⠀映画『#スーパーガール』💥
┗━━━━◢◤◆◥◣━━━━┛

＼＼締切間近‼️【6/28(日)まで】／／
🐕クリプトTシャツ、チャームが当たる‼️
フォロー&RP🔄キャンペーン実施中💫

1️⃣@UNITED_CINEMASをフォロー📱
2️⃣下記ポスト⬇️をRP🔄で応募完了✨
#この夏はスーパーガール

[Paralives @ParalivesGame]

to celebrate our 1 million copies sold, we’re giving away 10 Steam keys 🗝️🎉

enter now by:
🔹 following @paralivesgame
🔹 reposting this post

winners will be contacted on June 26th through our official account, make sure your DMs are open!

[Greg Brockman @gdb]

Announcing Sora — our model which creates minute-long videos from a text prompt: https://t.co/SZ3OxPnxwz

[Tim Urban @waitbutwhy]

Life is all about tradeoffs

[陈东成 @fncischen]

Working w cars using Apple Vision Pro

[Ammaar Reshi @ammaar]

I just used @LumaLabsAI's text-to-3D to generate a DeLorean from Back to the Future and placed it in my living room using the Vision Pro!

The future is wild. 🤩

[MrBeast @MrBeast]

I’m gonna give 10 random people that repost this and follow me $25,000 for fun (the $250,000 my X video made)

I’ll pick the winners in 72 hours

[Flat2VR Modding @Flat2VR]

CitraVR Brings Nintendo 3DS Games To Meta Quest! (Releasing Jan 20th)

@fewerwrong has been hard at work porting the fantastic Citra emulator natively to Quest. Being able to play classics such as Mario, Zelda, Mario Kart, Metroid, Pokemon, etc. in glorious stereoscopic 3D on the go with passthrough support on a giant screen is pretty epic.

Amanda has added a lot of QOL features such as being able to just point to select things with motion controllers, having both screens on movable windows, having smooth framerates & high resolution, passthrough support, and even building a custom framework to display the screens in a spatial format (something that could even be a useful foundation for other Quest projects to borrow from).

As of now, CitraVR doesn’t make a 3DS game “full 6DOF VR” like say, DolphinVR or PPSSPP VR, but that may be something that could be added later (no current plans for that yet though). Right now though, it’s still an absolutely amazing way to play hundreds of classic Nintendo games on Quest. I got to try CitraVR last week and it was a very polished experience on the games I tried (won’t work with every game yet)

CitraVR will release for free on Github & Sidequest on Jan 20th.

Join the #cvr-join channels in the https://t.co/V0GGPKkNWp Discord to get started, get help, chat about it and get updates!

Full video: https://t.co/Z079NQxvTP

[Robert Scoble @Scobleizer]

How many more months before this gets way better than any human? Less than 17.

[Mike Bird @MikeBirdTech]

No way... Now I can just tell my computer what I want and it does it?!

@OpenInterpreter

[Jim Fan @DrJimFan]

What did I tell you a few days ago? 2024 is the year of robotics. Mobile-ALOHA is an open-source robot hardware that can do dexterous, bimanual tasks like cooking a meal (with human teleoperation). Very soon, hardware will no longer bottleneck us on the quest for human-level, generally capable robots. The brain will be.

This work is done by 3 researchers with academic budget. What an incredible job! Stanford rocks! Congrats to @zipengfu @tonyzzhao @chelseabfinn

Academia is no longer the place for the biggest frontier LLMs, simply because of resource constraints. But robotics levels the playing field a bit between academia and industry, at least in the near term. More affordable hardware is the inevitable trend. Advice for aspiring PhD students: embrace robotics - less crowded, more impactful.

Website: https://t.co/gFcgiuTxrg
Hardware assembly tutorial (oh yes we need more of these!): https://t.co/FK5Twrgniz
Codebase: https://t.co/8FsfEXGfVg

[Ethan Mollick @emollick]

Had a glimpse of ubiquitous AI. We were driving on a trip & noticed odd trees. I asked ChatGPT-4 via voice about them, and it explained, including the name in the native language.

I said to my family “I had never seen X tree” and Chat, still on, gently corrected my pronunciation

[JayBratt @JaybrattVR]

Another HUGE THANK YOU means another HUGE GIVEAWAY: https://t.co/TLw4K0E08n
#Quest3 #vr #VirtualReality #Giveaway
You all REALLY SHOWED UP again this month and we want to say THANK YOU!!

[Matteo311 @matteo311]

2023 was an incredible year for #VR games. Everything including #quest2 #quest3 #PSVR2 and PCVR got some AMAZING games. So today I'm running down the BEST VR games of 2023 by Genre. ENJOY and let's hope 2024 is even better

Click here - https://t.co/8eIx6n9WaX

[Matteo311 @matteo311]

My Massive 2023 holiday giveaway

Enter to win
1 X Quest 3 Kiwi Elite Strap with Battery
1 x VR-Rock Quest Prescription lenses
1 x AMVR Quest 3 controller grips
2 x Copies of Demeo Battles (Quest)
Vertigo 2 (PSVR 2)
Ancient Dungeons (PSVR 2)
and more!

https://t.co/ddH3M9cFD2

[Yann LeCun @ylecun]

The emergence of superhuman AI will not be an event. Progress is going to be progressive.
It will start with systems that can learn how the world works, like baby animals.
Then we'll have machines that are objective driven and that satisfy guardrails.
Then, we'll have machines that can plan and reason to satisfy those objectives and guardrails.
Then will have machines that can plan hierarchically.
At first, those machines will be barely smarter than a mouse or a rat.
Then we'll scale up those machines to be as smart as a dog or a crow.
Then, we'll adjust the guardrails to make those systems controlable and safe as we scale them up.
Then we'll train them on a wide variety of environments and tasks.
Then we'll fine tune them on all the tasks that we want them to accomplish.
At some point, we will realize that the systems we've built are smarter than us in almost all domains.
This doesn't necessarily mean that these systems will have sentience or "consciousness" (whatever you mean by that).
But they will be better than us at executing the tasks we set for them.
They will be under our control.