@EvenRealities This is the kind of stuff that gets me stoked. 🔥
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Tony Proia
2.2K posts
Tony Proia
@SovereignForge
Founder of https://t.co/I9FteEE47e I build AI systems that touch the physical world. Former wrench-turner. Still think from the hardware up.
Las Vegas, NV Katılım Ekim 2021
585 Takip Edilen616 Takipçiler
You can now run your coding terminal from your glasses, wherever you are.
Terminal Mode is live.
#DevTools #BuildInPublic #coding
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@goEverySight As a Kickstarter backer, I’m genuinely stoked for these to ship. The dual-eye display and CXR-L SDK look perfect for developers like me at @SiceliumAI
Can’t wait to get my hands on them and start utilizing and building. Keep up the great work!
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Our booth at MIDO.
Designed to reflect what we believe in - where eyewear meets technology.
Want to know more? Reach out at mido@everysight.com.
More soon.
#MIDO #SmartGlasses #MaverickAI #Everysight #ARGlasses
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If I could fund a single company that doesn’t exist right now it would be…
Machine Maintenance as a Service
$222B/year in the US is spent on machine maintenance or repair.
Features would include:
- quarterly PMs on machines
- full service history with access to service history of other exact machines
- predictive from sensors or cameras
- instant buy spare parts from online store
- operator training module
- access to AI chat bot (ik cringe) that knows your machine inside out
This would be an incredible bet as robotics scale and maintenance is inevitable.
I’d hire the oldest guys with the most amount of tribal knowledge.
Every single repair or process would be documented with data points and feed into our system correlated to a specific machine.
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Tony Proia retweetledi
Tony Proia retweetledi
Do you think Tesla will keep the ultimate driving experience running parallel with autonomous driving, or will it all go pure autonomous?
My vibe: I want to snag a Cybertruck and brag about hitting 90%+ autonomous miles while still having that raw, steer-by-wire thrill when I feel like it. Is hands-on driving becoming the new ‘peasant’ activity in the AI era?
What does lapping a track in a human-driven beast even mean when an AI can whip around it flawlessly, with zero fatigue or ego? Who cares about bragging rights on 0-60 when your future family hauler will smoke today’s supercars without breaking a sweat?
Driving for fun might stick around for enthusiasts… but the daily grind? Let the robot handle it.
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The Model 3 is such a fun car
Tesla@Tesla
10 years of Model 3 The car that started the EV revolution
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@SimplyBitcoin @elonmusk X payments is just a road Bitcoin will dominate.
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@elonmusk You should just ditch X payments and use Bitcoin
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Tony Proia retweetledi
How to win at startup building:
1) Eat sh*t
2) Eat more sh*t
3) Chew glass
4) Stare into the abyss
5) Keep going
6) Win
Simple enough.
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Tony Proia retweetledi
Rapid recursive improvement
DogeDesigner@cb_doge
ELON MUSK: "We're starting off with an advanced technology fab here in Austin, and I'd like to thank @GregAbbott_TX and the state of Texas for the support. So in the advanced technology fab, we will have all of the equipment necessary to make a chip of any kind logical memory, and we will also have all of the equipment necessary to make the masks. So in a single building, we can create a mask, make the chip, test the chip, make another mask, and have an incredibly fast recursive loop for improving the chip design. To the best of my knowledge, this doesn't exist anywhere in the world. We're really going to push the limit of physics in compute, and we're going to try a bunch of wild and crazy things, which you can do if you've got that fast iteration loop that I can't emphasize enough the importance of being able to make it, to test it and and then make and then change the design, do another one, and have that in a single building."
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The new Grok Imagine chibi template
Tried it out on Elon 🤣
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Tony Proia retweetledi
Introducing 𝑨𝒕𝒕𝒆𝒏𝒕𝒊𝒐𝒏 𝑹𝒆𝒔𝒊𝒅𝒖𝒂𝒍𝒔: Rethinking depth-wise aggregation.
Residual connections have long relied on fixed, uniform accumulation. Inspired by the duality of time and depth, we introduce Attention Residuals, replacing standard depth-wise recurrence with learned, input-dependent attention over preceding layers.
🔹 Enables networks to selectively retrieve past representations, naturally mitigating dilution and hidden-state growth.
🔹 Introduces Block AttnRes, partitioning layers into compressed blocks to make cross-layer attention practical at scale.
🔹 Serves as an efficient drop-in replacement, demonstrating a 1.25x compute advantage with negligible (<2%) inference latency overhead.
🔹 Validated on the Kimi Linear architecture (48B total, 3B activated parameters), delivering consistent downstream performance gains.
🔗Full report:
github.com/MoonshotAI/Att…
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Tony Proia retweetledi
Tony Proia retweetledi
Tony Proia retweetledi