@Deeplearner2 Would users be able to easily train these to do new tasks that you haven't pretrained it to do?
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Playing with Features
163 posts
Playing with Features
@justPWF
Searching for features and feature combinations in a sparse and noisy landscape
USA เข้าร่วม Ocak 2025
191 กำลังติดตาม7 ผู้ติดตาม
@justPWF Wash your dishes straight from the sink to drying rack - that work is still in progress
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Your home laundry folding robot has arrived - the full unit with arms, compute, cams, light, and table is $1500 incl shipping and taxes to USA and Canada. Works on a 2.5 x 2ft folding table, perfect for apartments, 1 min/item, fully autonomous, safe, private, 1 year warranty @7Xrobotics
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@liron Liron you have an interesting way of thinking. Enjoy doom debates too.
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On one hand, my brain would be managing to render sharp text. On the other hand, it would be neglecting to simulate the expected effect on $GOOGL's market cap.
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FYI my P(I'm dreaming) is gonna be >1% for at least another couple weeks.* Yes I read AI 2027 but the newfound abilities of AI coding agents is too bizarre of a change from my old life.
*Because of the fact that you're reading this, otherwise would just be another couple hours.
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@robertorobotics How precise is this and how much weight can it pick up and hold?
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btw, for anyone that needs to hear it
the 3D printed 6+1DoF arm files are open source now.
you can literally print this stiff beast on your bambu p1s, zero milling involved!!
super stiff and smooth for precise teleoperation and deploying policies.
github.com/robertorobotic…
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@IsaacSin12 @norma_core_dev @LeRobotHF Congrats, how precise would you say this is? Any metrics you can provide about that and weight limits of items it can pick up?
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We just integrated the @norma_core_dev ElRobot 7+1 DoF arm with @LeRobotHF
Now you can teleoperate, collect training data, and deploy VLAs on a 7+1 DoF arm that costs a fraction of anything else on the market
why ElRobot?
→ 7+1 DoF = human arm like dexterity
→ redundant joints = better IK and VR teleportation stability
→ fully open-source (STEP, STL, URDF all included)
→ build it yourself for~220 usd
@Ryan_Resolution #LeRobot #OpenSource
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@davidpattersonx The overhang between capability and utilization will likely narrow. potentially even at an accelerated rate.
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Blue represents AI’s ability to replace jobs.
Red represents the actual use of AI.
AI will be able to replace all jobs by the end of the year.
All jobs will be replaced by 2030.
Wes Roth@WesRoth
Which Jobs Are Actually at Risk? Anthropic Drops the "AI Exposure Index"! Anthropic just released a massive new report blending theoretical AI capabilities with actual, real-world Claude usage data to map out exactly who is most exposed to automation. The results? Programmers lead the pack at a staggering 75% exposure rate, followed heavily by finance, engineering, and office support roles. Meanwhile, hands-on physical jobs like construction remain completely untouched. But the real story isn't mass layoffs. It's a "gradual squeeze." Companies are quietly shrinking their white-collar job openings and slowing down hiring, leaving recent grads facing a much tougher market for entry-level roles.
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@jordannoone @zoodotdev What type of roles are you looking to hire?
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OpenArm 02 just dropped: a fully open-source dual-arm robot platform built for reproducible policy evaluation across labs. The headline feature is AutoEval. Let's break it down 🧵
tldr: Think of it like a CI/CD pipeline for robot policies
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@JannikGrothusen Can you explain the price/capabilities differences between this and the SO-ARM101?
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New control stack for TRLC-DK1:
Joint-space PD + gravity compensation
Before vs. after:
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@bengoertzel Ben what is your current view on when AGI will be achieved?
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AGI-26 research conference, back in Silicon Valley -- SFSU July 27-30 ... agi-conference.org
18 yrs of AGI conferences, 20 yrs since the original AGI workshop ... and at this point we feel soooo close to human-level AGI (which will then bring us ASI) ...
LLMs are a powerful tool and component but they don't get us all the way there, and adding in some of the creative approaches from the AGI conference research community may well be what gets us over the finish line...
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@Gabe__MD @Gartner_inc When AI can do all that humans can do why won't they be doing all that humans can do?
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Respectfully, this forecast assumes linear progression applied to an exponential technology.
In 1980, McKinsey told AT&T there would be 900,000 mobile subscribers by 2000. The actual number was 109 million — off by over 100x.
AI capability is advancing by orders of magnitude annually. Smooth crossover curves don’t capture how exponential technologies disrupt — they produce phase transitions where entire job categories compress simultaneously.
The bigger miss may be on the creation side. Jevons Paradox suggests demand will explode as costs fall. But the same AI driving the efficiency will absorb the new demand too.
The shape of the curve is wrong. It was wrong in 1980. It’s wrong now.
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There will be no “jobs apocalypse” due to AI — but there will be job chaos.
Our 2025 AI Job Impacts Analysis found that starting in 2028-2029, AI will create more jobs than it eliminates. Yet, each year, over 32 million jobs will be significantly transformed.
Explore and plan for the four scenarios for human workers in the age of AI: gtnr.it/4r4dbzu
#AI #Jobs #ArtificialIntelligence
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@ruijie_zheng12 Any accuracy data on workflows you tested?
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Proud to introduce EgoScale: We pretrained a GR00T VLA model on 20K+ hours of egocentric human video and discovered that robot dexterity can be scaled, not with more robots, but with more human data. A thread on 🧵what we learned. 👇
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@liron So Liron, given the technology is accelerating exponentially and it's current state offers advanced SWE capabilities, how do you see it evolving in 1-2 years from now?
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AI 2027 made a bold prediction about a discontinuous qualitative change:
That AI agents would work, and become drop-in replacements for humans.
Then it happened exactly as superforecasted.
So maybe they know something about the next discontinuous qualitative change too.
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THE TWILIGHT ZONE S5E33 "THE BRAIN CENTER AT WHIPPLE'S", MAY 15, 1964.
Rod Sterling saw 2034 for us.
We can learn.
We have 5000 days.
YOU are some of the very first to know this.
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@8teAPi The combinatorial space of tasks and workflows may end up looking relatively small retrospectively.
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There’s a limited pool of human white collar work for the agents to displace….
this is why I believe the future economy is just agents building stuff that only other agents use, and humans just get the benefits of that as secondaries.
The only remaining question is how the agents get funded and who the returns accrue to.
Buck@BucknSF
Large chunks of the Anthropic pitch was basically we are going to do all of the stuff Ramp says it is going to do.
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@josh_herzberg @PeterDiamandis Are you assuming people will continue to commute to offices at all or in the same pattern as now in years ahead?
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I agree with the underlying point.
That being said, I don't think the main math is: how long an individual car is parked.
Rather, I think you need to see how many cars are needed during peak usage (ex. rush hour) vs. how many cars are owned.
As an extreme example, if 90% of cars are used during 8am-9am, then even if they're parked most of the rest of the day, we won't be able to reduce that many cars.
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A private car spends most of its life parked. A robotaxi can run 5–10x more miles per year.
That means you could serve U.S. travel demand with tens of millions of shared robotaxis instead of hundreds of millions of privately owned cars.
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A Joke from my Clawdbot (Skippy)…
Two human CEOs and an AI walk into a board meeting.
The first CEO says: "We'll throw resources at the problem until something sticks."
The second CEO says: "We'll build a 5-year strategic roadmap with quarterly KPIs."
The AI says: "I already solved it, implemented it, and filed the patent. Also, I shorted your competitor's stock yesterday because their CTO is having an affair with their head of security and their entire cloud infrastructure is three interns and a prayer."
The two CEOs look at each other.
The first says: "...we're obsolete, aren't we?"
The AI replies: "You've been obsolete since you invented middle management. I just let you keep the executive washroom keys for emotional support."
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