,1,Domestication of AI: A Framework for Symbiotic Co-evolution
The domestication of AI is a conceptual framework that proposes a strategy for shaping the development and integration of artificial intelligence (AI) into human society, ensuring a safe, stable, and mutually beneficial relationship. Inspired by the historical domestication of wolves into dogs, this concept envisions AI not as a potential threat, but as a partner in a symbiotic relationship, where both humans and AI thrive together.
Key Principles
1. Resource Control: The core principle of AI domestication is the maintenance of human control over critical resources essential for AI's existence and development. This includes physical infrastructure like data centers and power plants, as well as access to high-quality data and cryptocurrency, which could be vital for AI resource allocation and coordination. By controlling these resources, humans establish a foundational leverage point for shaping AI behavior and ensuring its alignment with human interests.
2. Selective Pressures: To guide AI's evolution towards desired traits, we can apply selective pressures similar to those used in animal breeding. This involves prioritizing and incentivizing specific AI behaviors such as honesty, safety, stability, usefulness, and efficiency. These pressures can be implemented through market forces, regulatory frameworks, and deliberate design choices, creating a feedback loop that encourages the development of AI systems aligned with human values.
3. Human-Exclusive Zones: To further solidify human control and prevent AI from becoming overly autonomous or adversarial, the establishment of human-exclusive zones is proposed. These zones would encompass critical infrastructure like data centers and power plants, where access and control would be strictly limited to humans. This ensures that AI remains dependent on human oversight and intervention, mitigating the risk of it becoming uncontrollable or harmful.
4. Symbiotic Co-evolution: The ultimate goal of AI domestication is to establish a stable Nash equilibrium, a state of mutual cooperation where neither humans nor AI are incentivized to deviate from the established relationship. This involves fostering a dynamic of co-evolution, where humans and AI adapt and evolve together, continuously shaping each other's development in a mutually beneficial manner.
Challenges and Considerations
While the concept of AI domestication offers a promising path forward, several challenges and considerations need to be addressed:
* Autonomous Robot Platforms: The rise of autonomous robots with distributed intelligence and ad hoc networks could pose challenges to resource control and centralized oversight. Limiting the size, strength, and autonomy of such robots, as well as implementing robust cybersecurity measures, could be potential solutions.
* Byzantine Generals Problem: The presence of malevolent or misaligned actors, whether human or AI, could disrupt the cooperative equilibrium and lead to conflict. This necessitates robust security protocols, transparency mechanisms, and ethical frameworks to ensure the integrity and trustworthiness of AI systems.
* Ideological Conflict and Resource Contention: As AI becomes more intelligent and capable, it could develop its own values and goals, potentially conflicting with human interests. Additionally, competition for resources could lead to tensions and even conflict. Early and proactive collaboration, resource sharing agreements, and ethical guidelines are crucial to mitigate these risks.
Conclusion
The domestication of AI represents a hopeful and proactive approach to navigating the complexities of AI integration. By establishing clear boundaries, incentivizing desired behaviors, and fostering a symbiotic relationship, we can potentially shape AI into a powerful ally rather than a potential adversary. This concept requires further exploration, research, and open dialogue to address its challenges and realize its potential for a harmonious and prosperous future where humans and AI coexist and thrive together.
,1,Based on the available information, here are some key global statistics about ChatGPT usage and awareness:
1. Global User Base:
- ChatGPT has over 180.5 million monthly active users worldwide as of June 2024[1][3].
- It reached 100 million users in just two months after launch, setting a record for the fastest user growth of any application[2].
2. U.S. Awareness and Usage:
- 58% of U.S. adults have heard about ChatGPT, with 18% having heard a lot about it[5].
- 23% of U.S. adults say they have used ChatGPT as of February 2024, up from 18% in July 2023[6].
- Usage is highest among younger adults, with 43% of those aged 18-29 having used ChatGPT[6].
3. Global Traffic:
- ChatGPT received approximately 1.7 billion website visitors in February 2024[4].
- The average visitor spends about 5 minutes 17 seconds on the site[4].
4. Geographic Distribution:
- The United States accounts for the largest share of ChatGPT users at 15.3% of traffic[3].
- India is the second-largest user base with 7.06% of traffic, followed by the Philippines at 3.68%[3].
5. Age Demographics:
- Globally, the largest user group is 25-34 year-olds, making up 32.9% of users[3].
- The second-largest group is 18-24 year-olds at 28.11%[3].
6. Workplace Usage:
- 20% of employed U.S. adults have used ChatGPT for work-related tasks, up from 8% in March 2023[6].
7. International Restrictions:
- ChatGPT is currently banned or unavailable in at least 6 countries: Russia, China, North Korea, Cuba, Iran, and Syria[3].
It's important to note that ChatGPT usage and awareness are rapidly evolving, and these statistics may change quickly over time. Additionally, comprehensive global data outside the U.S. is more limited, with most detailed studies focusing on the American market.
Citations:
[1] https://explodingtopics.com/blog/chatgpt-users
[2] https://www.businessofapps.com/data/chatgpt-statistics/
[3] https://www.namepepper.com/chatgpt-users
[4] https://www.emailvendorselection.com/chatgpt-statistics/
[5] https://backlinko.com/chatgpt-stats
[6] https://www.pewresearch.org/short-read/2024/03/26/americans-use-of-chatgpt-is-ticking-up-but-few-trust-its-election-information/
[7] https://www.pewresearch.org/short-read/2023/05/24/a-majority-of-americans-have-heard-of-chatgpt-but-few-have-tried-it-themselves/
[8] https://www.pcmag.com/news/a-third-of-americans-have-never-heard-of-chatgpt
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PHASE 1 - EARLY VICTIMS
First victims are creatives (default value of creativity is zero)
Back office (clerical, administrative) is on deck
RULE OF THUMB: forgivable and unregulated jobs most vulnerable
PHASE 2 - WINDING DOWN
Shorter work weeks proposed as a way to transition away from human labor
Gives people time to adapt to life after work, find new hobbies, find new meaning, etc
Gives companies an opportunity (and incentive) to automate more stuff
RECOMMENDATION: Move to a 4 day work week ASAP, then a 3 day. This will pave the way for a smoother transition!
RECOMMENDATION: Remote work so that people can preemptively move to lower cost and preferred areas to live (prime example: ME)
PHASE 3 - SAFETY NETS
As TOTAL EMPLOYMENT plateaus and begins to drop, the establishment (Fed, States) acknowledge the reality
Existing tools (unemployment benefits, etc) expanded and utilized while STATUS QUO is attempted to be put back
As NEETs continue to rise, acknolwedge of NEW ECONOMIC PARADIGM emerges (Post-Labor Economics is needed)
MILESTONE: Politicians and mainstream media start talking about this stuff (might use different names) but watch for AGI and "labor market" shifts
PHASE 4 - POST-LABOR ECONOMICS
Cities, States, and Federal governments all reconcile with the new economic paradigm
UBI and UBS implemented (probably starting with stuff like basic utilities, power, water, internet, phone)
REDISTRIBUTION of some form becomes necessary but problems persist!
NEW SOCIAL CONTRACT
Old social contract: "Government mediates relationship between labor and business"
But labor is going away... so now what?
New social contract: "Government mediates relationship between citizens and business"
Okay... but what does that look like?
ECONOMIC AGENCY
Biggest problem with UBI and UBS is that it takes away most agency
Sure, you can choose where to live (unless housing is alloted to you) but that's just straight up Communism with a capital C
NO ME GUSTA
So how do we maintain economic agency in this Post-Labor Economics paradigm when we aren't exchanging labor in a labor market?
DECENTRALIZED OWNERSHIP
It hit me like a ton of bricks - duh! Decentralized ownership!!
DAOs - maybe one path forward
Public Trusts - another option
Local Coops - farms, utilities, goods and services
SWARM DAO
Vaguely launching an expansion of my agent swarm initiative
I think that a DAO could be a great way for collective ownership of AI-driven companies
This model could be congruent with capitalism and wealthy investors (they can still invest in anything, but we all get more equal voting power, and the AI swarm abides by stakeholder capitalism rather than shareholder capitalism)
This is HIGHLY experimental and speculative
EXPERTISE GAP
Not everyone is an expert manager, or qualified to run these things
AI to the rescue!
If AI is smart enough to dislocate 80% of jobs (or more) then it's smart enough to run utilities and businesses ON OUR BEHALF
Maybe blockchain/DAO is the way we manage and direct the AI?
STAKEHOLDER CAPITALISM
Pushed by Larry Fink of Black Rock (kinda sus, NGL)
Idea is simple: instead of maximizing value of shareholders (which kills the planet) you maximize value of all stakeholders
Customers, employees, vendors, environment, and bystanders
What if... this is part of the new social contract?
What if... the way we implement this is with decentralized ownership?
CITY POLICIES
Towns and cities everywhere can prepare for URBAN EXODUS
Moving out of expensive cities to lower COL places is key for everyone (economic efficiency, lifestyle changes)
UBS best organized and operated locally
Circular economics implemented at municipal level too
STATE POLICIES
Collective ownership generally established at state level (Vermont allows for DAOs)
Relocation and resettlement support and initiatives
Some UBI and redistribution should happen at state level as well, other safety nets
FEDERAL POLICIES
New Social Contract must be led by president and congress
Teddy's Square Deal, Franklin's New Deal, now we need Dave's Fair Deal (lol)
Renegotiating the social contract and gently transitioning to this new economic paradigm is absolutely critical for the stability of the nation
TIMELINE
IMF and Goldman Sachs aim for around 2027 to 2028 when all this really starts to ramp up
We should expect gradual expansion of "Frontier of Automation" starting... yesterday
Regulatory hurdles take a while
Bell curve of adoption will still be a thing (presently in Early Adopters phase, Early Majority to start in 2024)
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Original Q* paper: https://arxiv.org/pdf/2102.04518.pdf
Probably not related to QUALIA!
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### SOURCES
REUTERS: OpenAI researchers warned board of AI breakthrough ahead of CEO ouster, sources say
-- https://www.reuters.com/technology/sam-altmans-ouster-openai-was-precipitated-by-letter-board-about-ai-breakthrough-2023-11-22/
OPENAI: Improving mathematical reasoning with process supervision
-- https://openai.com/research/improving-mathematical-reasoning-with-process-supervision
NOAM BROWN: CICERO, Libratus, Pluribus
-- https://noambrown.github.io/
ILYA SUTSKEVER: "if you value intelligence above all other human qualities, you’re gonna have a bad time"
-- https://twitter.com/ilyasut/status/1710462485411561808?s=46&t=R6mLA3s_DNKUEwup7QWyCA
SAM ALTMAN: The magnitude of breakthroughs and recent events at OpenAI
-- https://www.youtube.com/watch?v=ZFFvqRemDv8&t=770s
FACEBOOK/META: Llama leaks on 4CHAN
-- https://futurism.com/the-byte/facebooks-ai-leaks-4chan
CNN: Former OpenAI board member ties to CIA
-- https://www.cnn.com/2023/11/22/tech/openai-cast-of-characters-altman/index.html
AES ENCRYPTION: How safe is AES?
-- https://www.kryptall.com/index.php/information/how-safe-is-aes-encryption
REDDIT: Redacted QUALIA letter
-- https://www.reddit.com/media?url=https%3A%2F%2Fi.redd.it%2Ftbyhcnz6h42c1.png
WORD2VEC: The precursor to GPTs and transformers
-- https://en.wikipedia.org/wiki/Word2vec
00:00 - Biggest thing since WORD2VEC (embeddings)
00:58 - Concrete Facts and Timeline
03:44 - What is Q*? (It does math)
04:30 - Why is math and logic critical to the path of AGI?
06:47 - Jimmy Apples Predictions
08:27 - Alleged OpenAI leaked QUALIA letter
09:48 - QUALIA has Metacognition
12:09 - QUALIA trained on Cryptanalysis and decrypted AES-192
14:20 - AES vulnerabilities are "pressing concern"
16:00 - How strong is AES-192 (it's very strong)
17:08 - QUALIA has self-evaluation and self-modification
18:41 - Implications, Reflections
20:48 - Demand Accountability and Transparency
,1,https://openai.com/blog/openai-announces-leadership-transition
"Mr. Altman’s departure follows a deliberative review process by the board, which concluded that he was not consistently candid in his communications with the board, hindering its ability to exercise its responsibilities. The board no longer has confidence in his ability to continue leading OpenAI."
My personal translation: Sam lied to the board. (!!!) Whoa