Dr.UZ
Ph.Degen #Meme | Cooking the TechCult | Constitution of Liberty Follower | Invest #AI Build #DESCI #RWA
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Awesome #pythia
Foresight_News
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Orama Labs completes the first buyback and destruction of PYTHIA, with a total of 215,310 destroyed.
Foresight News reports that DeSci and AI asset issuance protocol Orama Labs has announced the execution of the first destruction of its governance token PYTHIA today, with a total of 215,310 PYTHIA destroyed.
This destruction occurs after the launch of ZENO, the first ecological project of Orama Labs. According to the previously announced tokenomics, the platform will return 50% of the fee income directly to project creators to continuously support the development of ecological projects, while the remaining portion will be used to promote value empowerment measures, including buybacks and destruction.
This destruction occurs after the launch of ZENO, the first ecological project of Orama Labs. According to the previously announced tokenomics, the platform will return 50% of the fee income directly to project creators to continuously support the development of ecological projects, while the remaining portion will be used to promote value empowerment measures, including buybacks and destruction.
Fuck twitter
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Hold Bitcoin #btc for the long term DCA
$BTC is significantly driven by the long-term normalization inflation coefficient of the world's fiat currencies (demand)
At the same time, the cost of energy consumption corresponding to related computing power fluctuates significantly (production cost)
And is periodically driven by the imagination of the holders (consensus)
The super bull has not yet arrived
$BTC is significantly driven by the long-term normalization inflation coefficient of the world's fiat currencies (demand)
At the same time, the cost of energy consumption corresponding to related computing power fluctuates significantly (production cost)
And is periodically driven by the imagination of the holders (consensus)
The super bull has not yet arrived
See original
Awesome, thank you brother
DrUZ Brother 50m Selling House All-In Brain-Machine Mouse Profit, it's really impressive to me, how many old investors with acrophobia dare not take large positions, while the principal has gradually worn down in repeated PvP
At that time, those who dared to heavily invest in Brain-Machine Mouse PYTHIA indeed had vision and courage, pulling from 2m to 120m is one of the few cycles rewarding holders in this meme
Of course, speaking of PYTHIA community, it is indeed the most cx and degen atmosphere community I have ever seen, thus I have done several deconstructions in the past
❚ Brain-Machine Mouse Change of Owners and New Platforms
Nothing can keep rising, and Brain-Machine Mouse is no exception. Affected by the original Russian team's dumping and the 1011 major liquidation, Brain-Machine Mouse once halved to around 50m
In fact, this drop compared to the altcoins in exchanges has already performed well, but there are still people trying to empower Brain-Machine Mouse again
Orama was born with the intention of empowering Brain-Machine Mouse, an AI + DeSci launchpad, the model is still the classic staking for new projects
I had a brief exchange with their team members at the BNB Chain SideEvents in Singapore, which left a deep impression, so I have been following the project's progress
According to community news, Orama has currently completed the control of Brain-Machine Mouse, with a long-term intention to build it out, and the community is highly receptive to this
It has also passed security audits from Certik and PeckShield, with the total TVL surpassing 3.6 million USD
❚ The First Staking New Project Zeno
Although trust in @zenotech_ai mostly comes from the sense of security brought by Orama's long-termism, Zeno itself is also quite remarkable
Following the guidance on the official website's Linkedin, I dug deep into the identities of the founding team, here’s the content organized by AI:
- Yizi Wu (CEO): Former Google Technical Director, early member of Google X, led Google Glass and Lens projects, later founded DeepMirror, focusing on spatial intelligence and world model development
- Taoran Chen (Research Scientist): Bachelor's in Mathematics from MIT, PhD from Cornell University, expert in Galois theory, ranked in the top 12 of the US Mathematics Olympiad, currently focuses on spatial intelligence and world modeling research
- Kevin Chen (CFO): Former executive at Fosun Group, JPMorgan, and Morgan Stanley, with over 16 years of investment and financial management experience, Master's from Columbia University
(For the full text due to length constraints, see X)
$BNB
At that time, those who dared to heavily invest in Brain-Machine Mouse PYTHIA indeed had vision and courage, pulling from 2m to 120m is one of the few cycles rewarding holders in this meme
Of course, speaking of PYTHIA community, it is indeed the most cx and degen atmosphere community I have ever seen, thus I have done several deconstructions in the past
❚ Brain-Machine Mouse Change of Owners and New Platforms
Nothing can keep rising, and Brain-Machine Mouse is no exception. Affected by the original Russian team's dumping and the 1011 major liquidation, Brain-Machine Mouse once halved to around 50m
In fact, this drop compared to the altcoins in exchanges has already performed well, but there are still people trying to empower Brain-Machine Mouse again
Orama was born with the intention of empowering Brain-Machine Mouse, an AI + DeSci launchpad, the model is still the classic staking for new projects
I had a brief exchange with their team members at the BNB Chain SideEvents in Singapore, which left a deep impression, so I have been following the project's progress
According to community news, Orama has currently completed the control of Brain-Machine Mouse, with a long-term intention to build it out, and the community is highly receptive to this
It has also passed security audits from Certik and PeckShield, with the total TVL surpassing 3.6 million USD
❚ The First Staking New Project Zeno
Although trust in @zenotech_ai mostly comes from the sense of security brought by Orama's long-termism, Zeno itself is also quite remarkable
Following the guidance on the official website's Linkedin, I dug deep into the identities of the founding team, here’s the content organized by AI:
- Yizi Wu (CEO): Former Google Technical Director, early member of Google X, led Google Glass and Lens projects, later founded DeepMirror, focusing on spatial intelligence and world model development
- Taoran Chen (Research Scientist): Bachelor's in Mathematics from MIT, PhD from Cornell University, expert in Galois theory, ranked in the top 12 of the US Mathematics Olympiad, currently focuses on spatial intelligence and world modeling research
- Kevin Chen (CFO): Former executive at Fosun Group, JPMorgan, and Morgan Stanley, with over 16 years of investment and financial management experience, Master's from Columbia University
(For the full text due to length constraints, see X)
$BNB
See original
Awesome
Kaito's IPO went badly, with 70% of those investing suffering significant losses.
There is a somewhat mystical method to help everyone judge:
1. If they start by saying they want to do RWA (Real World Assets) and focus on infrastructure.
2. If there is no major VC investment.
The basic judgment is fraud. The reasoning is simple: if 1 is true, then 2 must exist. This sector is different from others, there are almost no exceptions.
Additionally, the project team is from India. During this cycle, absolutely do not hold onto the mindset of 'local teams, not worth considering.' This cycle, you must prioritize local projects, especially those with contracts in Alpha.
The logic here is that foreign projects generally have no chance once launched, but local teams will find ways to maximize the value of this shell. Once it hits rock bottom, the only way to extract liquidity is to pump it.
There is a somewhat mystical method to help everyone judge:
1. If they start by saying they want to do RWA (Real World Assets) and focus on infrastructure.
2. If there is no major VC investment.
The basic judgment is fraud. The reasoning is simple: if 1 is true, then 2 must exist. This sector is different from others, there are almost no exceptions.
Additionally, the project team is from India. During this cycle, absolutely do not hold onto the mindset of 'local teams, not worth considering.' This cycle, you must prioritize local projects, especially those with contracts in Alpha.
The logic here is that foreign projects generally have no chance once launched, but local teams will find ways to maximize the value of this shell. Once it hits rock bottom, the only way to extract liquidity is to pump it.
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It has been quiet for more than 2 months, $pythia should start now
See original
I will keep increasing my position in $PYTHIA until it reaches a market value of 3 billion dollars
#PYTHIA can be purchased directly on Binance Alpha
Brain-computer interfaces and AI are the future! 🧠🐁
The cryptocurrency market is all about expectations, it's all about the imagination of the future!
#PYTHIA can be purchased directly on Binance Alpha
Brain-computer interfaces and AI are the future! 🧠🐁
The cryptocurrency market is all about expectations, it's all about the imagination of the future!
See original
I have high expectations for $PYTHIA in my article
PANews
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The Scientific Equity Movement: The Trillion-Dollar Knowledge Economy Reconstruction Revolution of DeSci
1. Industry Background and Current Situation Analysis
1.1 Overview of DeSci
From the workshop-style production relying on human collaboration during the handicraft era, to the factory system restructured by steam power in the mechanization era; from the standardized economies of scale spawned by assembly lines in the electrification era to the global supply chain revolution triggered by computer technology in the information age; to the current AI era with algorithm-driven intelligent decision-making networks—each technological revolution reshapes the organizational form of production factors. The emergence of blockchain technology has achieved 'trust automation' for the first time through mathematical protocols, enabling the on-chain confirmation of intellectual property, decentralized circulation of data assets, and value distribution dominated by smart contracts. By storing knowledge and data on-chain, DeSci (Decentralized Science) is leading a disruptive technological paradigm revolution, attempting to liberate science from closed ivory towers, and the underlying logic of human production relationships is undergoing a paradigmatic leap.
1.1 Overview of DeSci
From the workshop-style production relying on human collaboration during the handicraft era, to the factory system restructured by steam power in the mechanization era; from the standardized economies of scale spawned by assembly lines in the electrification era to the global supply chain revolution triggered by computer technology in the information age; to the current AI era with algorithm-driven intelligent decision-making networks—each technological revolution reshapes the organizational form of production factors. The emergence of blockchain technology has achieved 'trust automation' for the first time through mathematical protocols, enabling the on-chain confirmation of intellectual property, decentralized circulation of data assets, and value distribution dominated by smart contracts. By storing knowledge and data on-chain, DeSci (Decentralized Science) is leading a disruptive technological paradigm revolution, attempting to liberate science from closed ivory towers, and the underlying logic of human production relationships is undergoing a paradigmatic leap.
See original
Use real money to support partners' ventures! @Renee7eth Let me in, I'll quickly pull some money from the chain to the CEX 🧠😂
Haven't used CEX for several months, my speed is so slow, I bought $C halfway up the mountain
During the toughest times for $PYTHIA, it was Renee who worked hard for 2 months to produce a series of video content to support us, which gradually helped us climb out of the valley
Whether we make money or not doesn't matter, the main thing is to support!
Haven't used CEX for several months, my speed is so slow, I bought $C halfway up the mountain
During the toughest times for $PYTHIA, it was Renee who worked hard for 2 months to produce a series of video content to support us, which gradually helped us climb out of the valley
Whether we make money or not doesn't matter, the main thing is to support!
See original
My Bull Frame：
Brain-like Intelligence: AI evolution is based on the collaborative and cognitive signals of bionic brain neurons $SWARMS
Brain-Computer Interface: 🧠🐁 Non-invasive brain-computer interfaces are more aligned with ethical considerations and safety privacy concerns, while invasive ones aim to explore the optimization mechanism of bidirectional transmission of electrical signals $PYTHIA
Human-Machine Hybrid: The essence of asset trading is intelligent experimentation, gambling is a hypothesis about the future, and profit comes from the accuracy of validating future hypotheses
$STONKS
Brain-like Intelligence: AI evolution is based on the collaborative and cognitive signals of bionic brain neurons $SWARMS
Brain-Computer Interface: 🧠🐁 Non-invasive brain-computer interfaces are more aligned with ethical considerations and safety privacy concerns, while invasive ones aim to explore the optimization mechanism of bidirectional transmission of electrical signals $PYTHIA
Human-Machine Hybrid: The essence of asset trading is intelligent experimentation, gambling is a hypothesis about the future, and profit comes from the accuracy of validating future hypotheses
$STONKS
See original
Statistical Learning → 🧠 Brain Bionics → 🐁 Brain-Computer Interface
↓
Neural Networks
↓
Generative AI
↓
Transformer
↓
LLM → Multi Agents → MCP
Brain-Computer Interface is the new trend for AI $PYTHIA
↓
Neural Networks
↓
Generative AI
↓
Transformer
↓
LLM → Multi Agents → MCP
Brain-Computer Interface is the new trend for AI $PYTHIA
The world's BCI 🐁🧠 barometer, $PYTHIA, is poised to become increasingly scarce as the brain-computer interface revolution unfolds. With a continuous token burn mechanism in place, its value is set to rise🔥
Proof of Burn 🔥:
https://solscan.io/tx/4Hn16vSejwU5RHsJYvnBw5sxQb2HCYGCtPzaFX6xgEehnpqKjzheAbdwk66kBTP91tfdPkD46NxrdsCpH1zDtHBh
$PYTHIA 在进入通缩周期！
Proof of Burn 🔥:
https://solscan.io/tx/4Hn16vSejwU5RHsJYvnBw5sxQb2HCYGCtPzaFX6xgEehnpqKjzheAbdwk66kBTP91tfdPkD46NxrdsCpH1zDtHBh
$PYTHIA 在进入通缩周期！
🚀 🚀 🔥🔥 🚀🚀 🔥
🚀 🚀 🔥 🔥 🚀 🚀 🔥
🚀🚀🚀 🔥 🔥 🚀 🚀 🔥
🚀 🚀 🔥 🔥 🚀 🚀 🔥
🚀 🚀 🔥 🔥 🚀🚀 🔥🔥
$pythia $stonks $swarms
🚀 🚀 🔥 🔥 🚀 🚀 🔥
🚀🚀🚀 🔥 🔥 🚀 🚀 🔥
🚀 🚀 🔥 🔥 🚀 🚀 🔥
🚀 🚀 🔥 🔥 🚀🚀 🔥🔥
$pythia $stonks $swarms
See original
No matter how one's inherent fortune is, those who like Wood and Fire, Fire and Earth, and Earth and Metal are about to迎来连续7年的好年运，打翻身战
How to judge? Think back: Since the month of the Dog in 2018, has it always been quite oppressive? Poor financial luck, physical discomfort, tense relationships, unfavorable academic performance, and encountering petty people? From 2018's Dog year to 2021 is Metal and Water, and from 2022 to the first half of 2025 is Water and Wood
Wishing all those who like Fire and Earth to have their wishes come true! Good karma and good luck.
How to judge? Think back: Since the month of the Dog in 2018, has it always been quite oppressive? Poor financial luck, physical discomfort, tense relationships, unfavorable academic performance, and encountering petty people? From 2018's Dog year to 2021 is Metal and Water, and from 2022 to the first half of 2025 is Water and Wood
Wishing all those who like Fire and Earth to have their wishes come true! Good karma and good luck.
See original
Next Generation Internet: Brain-Machine Surfing, Human-Machine On-Chain 🧠
AI is currently thriving, yet there are not many breakthroughs on the technical front. Applications led by LLM interactive window robots are blooming, but the AI field has entered a stage of large-scale engineering and commercial expansion, while theoretically it has reached a stagnation bottleneck. Future assets and innovation hotspots will inevitably move towards brain-machine interfaces, alternative materials for new energy, and the space economy.
A Brain-Computer Interface (BCI) is a technology that enables direct interaction between the human brain and computers or other external devices by recording and decoding brain activity. Its core goal is to provide communication and control capabilities for patients with motor function disorders, while also extending to applications for healthy individuals (such as game control, attention monitoring, etc.).
Core Components of BCI:
🧠 Signal Acquisition
Invasive: Implanting electrodes through surgery (such as microelectrode arrays, ECoG), providing high signal quality but with infection risks.
Non-invasive: EEG (Electroencephalography): Records electrical activity through scalp electrodes, low cost but poor spatial resolution. MEG (Magnetoencephalography): Records magnetic field signals, high resolution but expensive equipment. fMRI (Functional Magnetic Resonance Imaging): Indirectly measures neural activity through blood oxygen level-dependent (BOLD) signals. fNIRS (Functional Near-Infrared Spectroscopy): Detects blood oxygen changes using light signals, portable but low temporal resolution.
🧠 Signal Types Event-Related Potentials (ERP): Such as P300 (a positive wave appearing after 300ms), used for spelling systems. Sensory Evoked Potentials: Such as Visual Evoked Potentials (VEP), Auditory Evoked Potentials (AEP). Sensorimotor Rhythm (SMR): Generated by imagining limb movements, used for controlling prosthetics or cursors.
🧠 Signal Processing Feature Extraction: Removing noise and extracting useful information, common methods include: Common Spatial Pattern (CSP): Maximizing the variance difference between two types of signals (see formula below). Independent Component Analysis (ICA): Separating signal sources and removing artifacts (such as blink interference). Wavelet Transform (WT): Extracting time-frequency features. Classification Algorithms: Mapping features to control commands, common methods include: Support Vector Machines (SVM): Separating different categories through hyperplanes. Neural Networks (NN): Such as Multilayer Perceptron (MLP), Convolutional Neural Networks (CNN). Fuzzy Inference Systems (FIS): Handling uncertain signals.
Future Research Directions
1. Develop low-cost, high-resolution non-invasive devices (such as low-density EEG);
2. Combine high-performance deep learning algorithms (such as LSTM, Transformer) to improve classification accuracy.
3. Optimize real-time signal processing algorithms to reduce latency;
4. Expand application scenarios (such as emotion recognition, virtual reality control).
AI is currently thriving, yet there are not many breakthroughs on the technical front. Applications led by LLM interactive window robots are blooming, but the AI field has entered a stage of large-scale engineering and commercial expansion, while theoretically it has reached a stagnation bottleneck. Future assets and innovation hotspots will inevitably move towards brain-machine interfaces, alternative materials for new energy, and the space economy.
A Brain-Computer Interface (BCI) is a technology that enables direct interaction between the human brain and computers or other external devices by recording and decoding brain activity. Its core goal is to provide communication and control capabilities for patients with motor function disorders, while also extending to applications for healthy individuals (such as game control, attention monitoring, etc.).
Core Components of BCI:
🧠 Signal Acquisition
Invasive: Implanting electrodes through surgery (such as microelectrode arrays, ECoG), providing high signal quality but with infection risks.
Non-invasive: EEG (Electroencephalography): Records electrical activity through scalp electrodes, low cost but poor spatial resolution. MEG (Magnetoencephalography): Records magnetic field signals, high resolution but expensive equipment. fMRI (Functional Magnetic Resonance Imaging): Indirectly measures neural activity through blood oxygen level-dependent (BOLD) signals. fNIRS (Functional Near-Infrared Spectroscopy): Detects blood oxygen changes using light signals, portable but low temporal resolution.
🧠 Signal Types Event-Related Potentials (ERP): Such as P300 (a positive wave appearing after 300ms), used for spelling systems. Sensory Evoked Potentials: Such as Visual Evoked Potentials (VEP), Auditory Evoked Potentials (AEP). Sensorimotor Rhythm (SMR): Generated by imagining limb movements, used for controlling prosthetics or cursors.
🧠 Signal Processing Feature Extraction: Removing noise and extracting useful information, common methods include: Common Spatial Pattern (CSP): Maximizing the variance difference between two types of signals (see formula below). Independent Component Analysis (ICA): Separating signal sources and removing artifacts (such as blink interference). Wavelet Transform (WT): Extracting time-frequency features. Classification Algorithms: Mapping features to control commands, common methods include: Support Vector Machines (SVM): Separating different categories through hyperplanes. Neural Networks (NN): Such as Multilayer Perceptron (MLP), Convolutional Neural Networks (CNN). Fuzzy Inference Systems (FIS): Handling uncertain signals.
Future Research Directions
1. Develop low-cost, high-resolution non-invasive devices (such as low-density EEG);
2. Combine high-performance deep learning algorithms (such as LSTM, Transformer) to improve classification accuracy.
3. Optimize real-time signal processing algorithms to reduce latency;
4. Expand application scenarios (such as emotion recognition, virtual reality control).
See original
Break free from the competition mindset to establish a long-term competitive advantage
The essence of overly pursuing short-term metrics is yielding to external judgment systems, disrupting one's own development rhythm. True investors understand: sacrificing strategic layout to chase artificially set KPIs is tantamount to killing the goose that lays the golden eggs. The wisest investment is always investing in one's own core logic🧠🐁
The essence of overly pursuing short-term metrics is yielding to external judgment systems, disrupting one's own development rhythm. True investors understand: sacrificing strategic layout to chase artificially set KPIs is tantamount to killing the goose that lays the golden eggs. The wisest investment is always investing in one's own core logic🧠🐁
Decoding Memory 🧠🐁: Astrocytes work with neurons via calcium signaling to potentially encode and modulate memory. This mechanism may explain how the brain stores vast data. Interesting to see @Biosynq_ai focusing on astrocytes, studying their role in information processing
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