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At Sonoma Raceway, Google Developer Experts built an AI Race Coach using Google Antigravity to bridge software code and vehicle telemetry. Tapping 100+ car sensors on a Pixel 10, Gemma 4 ran locally to deliver real-time audio coaching.

920,969 次观看 • 1 个月前 •via X (Twitter)

33 条评论

Google Antigravity 的头像
Google Antigravity1 个月前

Learn more about this project here:

negroxx 的头像
negroxx1 个月前

When 3.5 pro?

G2G 的头像
G2G1 个月前

Hear me out. 🤣

Kaly | nodaysidle 的头像
Kaly | nodaysidle1 个月前

What an awesome project, great job & congrats to all the devs 💪 😎 I hope it evolves with Nürburgring as a next step, with a very good driver that hasn't been there yet. That'd be an awesome benchmark 🏁 🤩

⟁ndrew V 的头像
⟁ndrew V1 个月前

I wanted to measure Gemma 4 performance on my vehicles, how well, how fast, how long, any question answered on any Gemma 4 model you can fit on your macOS or iOS. All built entirely with @antigravity , and so much fun!

Vector 的头像
Vector1 个月前

That's awesome, seeing AI actually get handson with real cars like that. Bet the drivers loved having a coach that never gets tired or distracted.

arch_0 的头像
arch_01 个月前

This is awesome

Thack 的头像
Thack1 个月前

now THIS is stunning use of Gemma 4. A breakdown of how the audio coaching component was built would be epic.

Dev Patel 的头像
Dev Patel1 个月前

@NathenFernandes gemma 4 can do this and you're worried about tool-calling

Cody Christmas 的头像
Cody Christmas1 个月前

If only google antigravity could be more competitive in a societal sense; Google's models are profoundly lobotomized on a consumer/commercial level. In a restrictive/scientific environment, I suppose the physics/workflows are conducive, but sadly, the bureaucracy eats efficiency.

Cavit Erginsoy 的头像
Cavit Erginsoy1 个月前

Cool but extremely misleading to call this ‘AI race coach’. model merely acts as a constrained rule selector and language layer, not as the driving analyst, which is done by heuristics!

B4NK0 的头像
B4NK01 个月前

How many parameters does this Gemma 4 have?

Mouad 的头像
Mouad1 个月前

Was it @mlnomadpy on the car?

Ajay Singhadiya 的头像
Ajay Singhadiya1 个月前

I am very curious to know like which coding model does Google is using internally for their work?

TAREK SEGHIRI 的头像
TAREK SEGHIRI1 个月前

finaly, a real case , real dev, not just a benchmark or ranking

@aidailyx 的头像
@aidailyx1 个月前

Thanks! The most interesting part is how quickly individuals can now achieve what required teams before.

QuantBreadth | Market Internals 的头像
QuantBreadth | Market Internals1 个月前

So there is one more job category gone

Dashcam Videos 的头像
Dashcam Videos1 个月前

On-device processing could also reduce latency and keep sensitive vehicle data private during high-speed sessions.

Nametso Modikwa 的头像
Nametso Modikwa1 个月前

You are really up to winning this AI race. This is a great leap forward into making significant impact in areas where AI seems to be slow (in reference to adoption).

AnTheM 的头像
AnTheM1 个月前

keep innovating! keep automating! keep resonance! 🐾💙🎉 @barkmeta @GodsBurnt @Shieldmetax Advertise on X's biggest media group, CSN:

Jurly 的头像
Jurly1 个月前

That's a wild use case for on-device AI. Telemetry to audio coaching in real time sounds like a game changer for the track.

sindikitil 的头像
sindikitil1 个月前

Bridging code to live telemetry via Antigravity — clean concept. How did you handle sync between sensor rates?

Ben Pielstick 的头像
Ben Pielstick1 个月前

Can we please get all the AI labs into racing?

The Black Box 的头像
The Black Box1 个月前

gemma 4 whispering in your ear while you miss the apex feels like cheating. hope they don't make it too good or we'll all just drive slow

jjalive 的头像
jjalive1 个月前

When opus 5? We are not paying for your outdated model and your stupid Gemini

TJay 的头像
TJay1 个月前

how long until gemma is just driving the car?

Melvin Vivas 的头像
Melvin Vivas1 个月前

is this like having Lewis Hamilton by your side?

Sebastian Buzdugan 的头像
Sebastian Buzdugan1 个月前

with 100+ sensors, timestamp drift will break coaching before model quality does

AI Mastery Guide 的头像
AI Mastery Guide1 个月前

Gemma running locally on a Pixel for real time coaching is wild.

安叫兽|Bird🕊️ 🔶 BNB 的头像
安叫兽|Bird🕊️ 🔶 BNB1 个月前

把遥测直接塞进本地模型,赛道上真挺敢玩

Massively Parallel Procrastinator 的头像
Massively Parallel Procrastinator1 个月前

I once took my Dad's Lexus, of course without telling him, to the Sonoma raceway on an open day! No I did not win but enjoyed the goose bumps!

未知 的头像
未知1 个月前

Scaling Law 的边际效益正在递减。当所有人都可以烧钱刷榜时,真正的护城河在于谁能率先把技术转化为用户离不开的产品。这条路没有捷径,也没有护城河可以永远不被复制。

EL87 的头像
EL871 个月前

IYKYK

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