Mecka.AI
@MeckaAI
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Data Layer for AI Robotics
(Now in closed beta)
Joined January 2024
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Introducing
The Largest Organized and Incentivized Human-Data Fleet for General-Purpose Humanoid-Robotics and large language model training
Our users are creators that complete daily data quests with crypto incentives through our Mobile App 🧵
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Mecka AI app is coming soon!
We'll be launching and giving priority access to our early supporters.
Look out for early access codes soon 👀
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We're building to solve data scarcity
Decentralized data collections allows for the scaling of coordinated human feedback
Reinforcement Learning from Human Feedback (RLHF) improves AI learning models by looping in human responses
Demo soon 👀
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Incredible demo from
@Figure_robot
, will be ready to incentivize humans to produce new data to train general-purpose humanoid robotics soon
With OpenAI, Figure 01 can now have full conversations with people
-OpenAI models provide high-level visual and language intelligence
-Figure neural networks deliver fast, low-level, dexterous robot actions
Everything in this video is a neural network:
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The demand for such extensive datasets will only increase exponentially
Mecka will be the data layer
Photobucket CEO Ted Leonard told Reuters he is in talks with multiple tech companies to license the company's 13 billion photos and videos to be used to train generative AI models that can produce new content in response to text prompts
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The Mecka team is at ICRA (International Conference on Robotics and Automation) today in Yokohama, Japan
One things for sure - its the year of Humanoids 🤖🦿
Ping us to meet up and chat about the human data layer app for AI robotics
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Thanks for the shoutout,
@soona
!
“We see an opportunity to crowdsource egocentric vision data which can be coordinated and incentivized via crypto platforms.”
Egocentric Vision Data Collection
Example companies (existing and potential):
Further reading:
Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning
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General-purpose Humanoid-Robots will be the largest GDP impacting technology of our lifetime
@MeckaAI
is the carbon data layer
JUST IN: Apple exploring the creation of home robots as "next big thing."
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This is why we're building Mecka AI
Our train to earn model allows us to be dynamic in the data that we generate.
Giving us the ability to adapt to partner and market demands.
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General-purpose Humanoid-Robots will be the largest GDP impacting technology of our lifetime
Mecka turns humanity into a coordinated data fleet to feed Humanoid-Robots
In February, I made a $19M investment in
@Figure_robot
It’s the largest venture check I’ve written and it’s also the most excited I’ve been about a world changing technological revolution since diving into Bitcoin/crypto
The human labor market is arguably the biggest in the
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@MeckaAI
's mission is to create first-person human life data to train a general-purpose humanoid robots:
• Users will participate in tasks and games involving video recording
• Recorded video data will be used by robotics training firms to develop autonomous robotics models
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8)
@MeckaAI
- Decentralized Robotics Training Network at an Industrial Scale (Future)
• Robotics address the challenges posed by an aging labor force and a shortage of laborers.
• This includes human-mimicry-labor-force automation, healthcare, and service industry robots.
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Our seed round curated by
@tempogrp
includes notables
@CryptoGodJohn
@MacnBTC
@Anbessa100
@Overdose_AI
@blackbeardXBT
@delucinator
@IcedKnife
@ibcig
@hype_eth
@CoinGurruu
@Brentsketit
@TraderKoz
@suganarium
@SamuelXeus
@murtazasats
@toptickcrypto
@Pool2Paulie
++
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General-purpose Humanoid-Robots will be the largest GDP impacting technology of our lifetime with a $42T impact through companies like
@Tesla_Optimus
,
@Figure_robot
and more
But AI models are expected to run out of data to train on by 2026 and humanoid data is especially scarce
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With backgrounds in the SOTA of Robotics, PHDs in deep reinforcement learning, and experience scaling 9-figure DeFi/Gaming crypto protocols we intend to be epoch-defining for humanity
Cc
@generated
, James Li, Vee,
@chang_defi
,
@datorxrc
, and more ++
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MetaAI created a dataset demo for this boasting only 3,670 hours of daily-life activity video
takes this to a global scale with a goal of creating over 500M hours of curated daily-life activity video in an ever-growing database
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Core Contributors
The core contributors and advisors have spent entire careers in the development of novel deep learning pipelines for 6D pose estimation in Robotics and generation of synthetic data for deep learning training
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There is a field in Robotics called "learning from demonstration" where videos of a task train the central model
The crux of this solution is quantity and scale - thats where crypto incentives and comes in
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Tesla implements a fleet-style learning method so that all captured video footage from cars on the road continuously improve the central self-driving AI model
For , humans across the world become the fleet that feeds valuable video data for humanoids
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5) Deep Learning and Cobots (2010)
• Developments in deep learning improved robots' perception, interaction, and adaptation to complex environments.
• The emergence of collaborative robots (cobots) designed to work alongside humans.
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6) Advanced AI Integration (2020)
• Cutting-edge AI for natural language understanding and autonomous decision-making.
• A focus on ethical AI and improving human-robot interaction quality.
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1) Early Beginnings of Programmable Robots (1960)
• The first programmable robots were used in manufacturing for specific, repetitive tasks.
• These robots relied on hardcoded, script-based programming with direct, low-level commands.
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There has been a strong emphasis on user generated data. AI companies are partnering with platforms.
One example, Reddit, recently closed a $60 million deal for their user data.
There's simply not enough data available.
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7)
@MeckaAI
- Human Behavior Mimicry (Now)
•
@MeckaAI
is the first
#train2earn
decentralized application for generating useful human feedback data to train robotic fleets.
• Users are incentivized to provide video data for training robotics autonomous models on human behavior.
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4) Integration of Advanced Machine Learning (2000)
• Adoption of more advanced machine learning techniques that enable robots to learn from their environment.
• Introduction of cloud robotics, offering robots access to a broad range of centralized data and compute.
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3) Robotic Arms and Early Autonomous Systems (1990)
• Rise of robotic arms in manufacturing, used for precise, repeatable tasks.
• Development of graphical programming tools and early autonomous robots.
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The race for robotics is on.
Notables names such as
@Figure_robot
@Tesla_Optimus
@GoogleDeepMind
are spending billions on research and development.
One problem is companies are struggling to scale for the amount of data required to build their models.
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2) Rise of Industrial Robotics and Early AI (1970-1980)
• Robotics expand into industrial settings with robotic operating systems completing more complex tasks.
• Early beginnings of AI for robotics that focus on pattern recognition and simple decision-making.
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The use of stolen data has become a setback and scraping data is no longer feasible.
The most viable solution is users generated and self-opted data.
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1) Improving Efficiency
The development of robotics will free humans from mundane repetitive tasks and improve productivity in sectors like manufacturing and logistics
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5) Solving the Global Labor Shortages
Robotics can address workforce declines due to aging populations, keeping industries robust in the face of demographic challenges
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4) New Job Creation
The robotics industry itself sparks new roles, such as designers, engineers, and maintenance technicians, adapting the workforce to technological advances
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3) Cost Savings
Automation can reduce global labor costs resulting in increased manufacturing of goods
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@adcock_brett
Post-humanoid, there will be mass unemployment and a need for a new paradigm of work
believes broadly-available and incentivized data quests will be the new era of work for humans
Humanity will feed the humanoid
@adcock_brett
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2) Quality and Consistency
Robots will enhance product quality in industries from electronics to healthcare
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