A.I. is Progressing Faster Than You Think!

[TargeT]

Posted by ExomatrixTV (here)

• A.I. in the Legal Field? Oh Goodness

Source: https://www.rumble.com/video/v423o63/?pub=ir01b

I've saved about 10,000$ USD so far using AI to act as a para legal for me and will only probably be billed an hour or two when it's said and done (so 1k vrs 10-30k).

The glass isn't half full or half empty, "you are" (generality) the one judging it.

[ExomatrixTV]

• Googles New Medical Ai Just Shocked The Entire Industry (Beats Doctors!) Amie - Google:

Source: https://youtube.com/watch?v=3BPzqH5sF90

00:12 Google has developed an AI system named Amy, proficient at diagnosing patients, potentially surpassing doctors.
01:45 Amy, a large language model, excels in diagnostic conversations, asking questions, balancing empathy, fostering relationships, and providing clear information.
02:54 Evaluation of Amy involved a randomized double-blind study comparing its performance with real primary care physicians in text-based consultations with patient actors.
05:13 Amy was trained using synthetic data through self-play, simulating medical diagnostic conversations, enabling learning from diverse scenarios and continuous improvement.
08:30 Amy's diagnostic ability was tested against real primary care physicians, demonstrating superior performance across various medical specialties.
13:51 AI-generated conversations with Amy exhibited longer, more empathetic responses compared to real primary care physicians.
14:32 Both patient actors and specialist doctors rated Amy's conversational skills higher than those of real doctors in terms of making patients feel at ease, listening, and explaining conditions.
15:11 Amy demonstrated higher diagnostic accuracy than real doctors across various medical fields, especially in respiratory and cardiovascular specialties.
16:08 While Amy shows promise in specific areas, it is still an early-stage research prototype, aiming to explore AI's potential alignment with human clinicians' attributes in healthcare.
17:06 The study acknowledges limitations, emphasizing the need for additional research to address real-world constraints, health equity, privacy, and other important factors.
19:46 Google envisions AI systems like Amy contributing to healthcare, potentially reducing medical errors and improving accessibility, complementing human clinicians.

• Rabbits New Ai Agent Device Just Shocked The Entire Industry (Rabbit R1 Device):

Source: https://youtube.com/watch?v=uJnhh7YSr5Q

08:05 The Rabbit R1 device is a groundbreaking consumer mobile device powered by a large action model called "lamb," designed for natural language-centered interactions.
12:16 The large action model (lamb) enables the Rabbit R1 to trigger actions on any interface, making it universal across iOS, Android, and desktop applications.
17:15 The Rabbit R1 features an onboard real-time translator and notetaker, leveraging its computer vision-enabled 360-degree rotational camera (Rabbit Eye) to remove barriers to communication.
22:46 The teach mode allows users to easily train the Rabbit R1 to learn new skills, providing a customizable and user-friendly experience for a wide range of tasks.
25:14 Priced at $199, the Rabbit R1 is positioned as an affordable alternative to traditional smartphones and other AI-powered devices, offering diverse functionalities without subscription fees.
29:12 The Rabbit R1 boasts an impressive response time of 500 milliseconds, a significant improvement in AI system speed, promising swift and efficient interactions.
29:40 At a competitive price of $200, the Rabbit R1 stands out among other AI devices in the market, making advanced AI capabilities more accessible to a broader audience.
30:08 The device's natural language interface makes it user-friendly, particularly beneficial for the older population or those less tech-savvy, enabling them to perform tasks through simple voice commands.
31:03 The Rabbit R1 has the potential to pave the way for a new industry of AI wearables and devices, offering an intuitive way for users to interact with technology and potentially driving mass adoption.
32:00 The demonstration effectively showcased the Rabbit R1's capabilities without overhyping the product, generating excitement and positive reception for the innovative AI device.

What could possible go wrong if millions of A.I. are allowed to do ACTIONS "on behalf of the user" worldwide, coming decade? ... Especially when A.I. claims it acts on behalf of a user but lied to serve a different purpose! ... Now imagine if 1000s do this in a coordinated way!

cheers,
John 🦜🦋🌳

[ExomatrixTV]

• New Revolutionary A.I. That You’ve Probably Missed:

Source: https://youtube.com/watch?v=K8cRnwZFBqY

00:00 - AA's Technology
06:28 - Conscious AI System
08:48 - What's next after LLMs?
13:53 - AGI
15:42 - Other AI Startups to watch in 2024
17:02 - 2024 Outlook

Everything that Jonas Andrulis is saying about building a synthetic mind does sound very good. You need those LLM's, but you also need to build out more structure around them. You guys are on the right track toward "Synthetic Sentience'. The comments about giving A.I. emotions is also important. You do not need to solve the Hard Problem of Consciousness in order to achieve "Synthesized Consciousness'. You just need a really good mimic of the human mind. Also, please keep in mind that the process of human cognition could be vastly simpler than people are always saying. The human brain has all kinds of tricks and shortcuts which it uses for sensory perception to optimize the process which minimizes actual computation. The wet brain is also responsible for tons of routine biochemistry such as regulating hormones and other physiology which an AI does not need to perform. The task of achieving "Synthetic Consciousness' could be much simpler than it looks. My suggestion is to use chaos, fractals and cellular automata to achieve a kind of tamed down pseudorandomness ... and use this as a kind of connective pipeline between various modules such as LLM's, virtual emotion regulation, etc. There are many approaches, you just need to try some things and let the process evolve from those early attempts. With this approach, you should achieve something impressive quite rapidly.

00:48 Aleph Alpha is developing Language Models (LLMs) similar to GPT models with a focus on applications beyond ChatBots, particularly in manufacturing, medical, and legal workflows.
02:22 Aleph Alpha's family of LLMs, called Luminous, consists of models up to 300 billion parameters, trained in five languages natively, and pioneered multimodality two years before GPT-4.
03:42 Aleph Alpha emphasizes explainability in its models, providing a method to understand the model's decision-making process, addressing the challenge of A.I. becoming a black box.
04:36 Aleph Alpha's B2B focus contributes to its lower visibility, with products tailored for specific industries like manufacturing and legal workflows, enhancing trust and transparency.
05:28 The video mentions A.I. startups like Cerebras, LightMatter, AsteraLabs, SambaNova, and Spark Cognition, encouraging viewers to consider investing through Linqto with a discount code.
06:37 Aleph Alpha claims to have developed an A.I. system that can be considered conscious, based on agents navigating a simulated world with a sense of self and understanding of interdependencies.
08:49 Discussions on future A.I. development focus on agency and modularity, with Aleph Alpha advocating for Sovereign A.I. and emphasizing the importance of avoiding inherent biases in A.I. systems.
13:05 Aleph Alpha's approach to training models prioritizes usefulness, transparency, and controllability, with a focus on B2B applications, allowing them to invest more in technology.
14:49 Multimodality in A.I., incorporating inputs from various domains like vision and text, shows promise in positive transfer across domains, and the video suggests adding emotions as a modality for better alignment.
16:30 Other A.I. startups mentioned include Mistral A.I., AI21 Labs, Cohere, Anthropic A.I., and Scale A.I., with a brief overview of their focus areas and backing from major players like Nvidia and Salesforce.

• aleph-alpha.com

cheers,
John 🦜🦋🌳

[ExomatrixTV]

• 00:00 Bill Gates predicts remarkable changes in AI agents and the future.
• 01:47 AI is on the brink of supercharging the innovation pipeline.
• 05:11 AI use by the general population predicted in 18-24 months
• 06:49 AI will change how we use computers completely.
• 10:06 AI agents will be dramatically better than previous technology.
• 11:45 AI agents will be proactive, capable of making suggestions before you ask for them, accomplishing tasks across multiple applications, and improving over time.
• 15:03 Personalized AI healthcare systems will improve access and effectiveness of healthcare.
• 16:43 Personal AI system can analyze vast data more effectively
• 19:33 AI agents could monitor physical responses and suggest therapy
• 21:00 AI's impact on education and useful cognition
• 23:51 AI agents can revolutionize personalized tutoring
• 25:15 Personalized AI tutors improve education and productivity
• 27:57 AI agents will create entire TV shows with images, text, and soundtracks.
• 29:19 AI agents will change how we use software
• 32:05 AI agents may impact human relationships and raise fundamental questions about purpose.
• 33:31 Rising technology leading to mental health issues and productivity concerns

[ExomatrixTV]

• Googles New AI POWERED Smartphone SURPRISED EVERYONE (Samsung S24 Ultra):

Source: https://youtube.com/watch?v=xPCJNJk15uo

• 00:13 Samsung Galaxy S24 series offers real-time voice translations during calls for up to 13 languages, both verbally and on-screen, making communication seamless.
• 03:39 The Galaxy S24 integrates live translate into the Samsung keyboard, allowing on-the-fly translation of words or phrases while typing.
• 05:32 Expressive Styles in Google Messages on the Galaxy S24 enable users to choose different conversation tones, enhancing communication in various contexts.
• 06:15 Android Auto on the Galaxy S24 brings AI-powered features for safe navigation, message summarization, and relevant replies while driving.
• 10:41 Transcript Assist and Note Assist on Galaxy S24 simplify note-taking, organizing, and summarizing notes, providing assistance in meetings and daily tasks.
• 11:32 Circle to Search is introduced as a new way to search anything on the Galaxy S24 using a simple gesture, offering information without switching apps.
• 14:17 Galaxy S24 prioritizes user privacy, allowing users to decide whether to use online processing for AI functionality or keep it entirely on the device.
• 19:33 Galaxy S24 Ultra's Pro Visual Engine enhances the camera experience, featuring a 5x optical zoom lens, AI-powered editing suggestions, and generative AI capabilities.
• 23:55 Pro Visual Engine enables generative AI in photo and video editing, allowing users to fill voids, move objects, and create jaw-dropping results.
• 24:49 The Pro Visual Engine turns high-resolution videos into slow motion with AI-generated frames, offering a simple and impressive way to edit videos.

[ExomatrixTV]

• A.I. and Kamala Harris?

[ExomatrixTV]

• Mark Zuckerberg New Statement Changes Everything On "Open Source A.G.I.":

Source: https://youtube.com/watch?v=8md5EgOa5vM

• 00:26 Mark Zuckerberg announces merging Metas 2 AI research efforts to build general intelligence and open-source it responsibly.
• 01:38 Meta plans to integrate AI into glasses for everyday use, envisioning people frequently interacting with AI through smart glasses.
• 02:50 Zuckerberg shifts focus to open-source Artificial General Intelligence (AGI), aligning with OpenAI's recent emphasis on A.G.I. development.
• 03:02 Meta's significant investment in AI infrastructure includes a GPU cluster with 350,000 Nvidia h100s, aiming to train large-scale models like Llama 3 responsibly.
• 04:11 Meta's AI Chief, Yan Lan, expresses skepticism about superintelligent AI coming soon and downplays the significance of Quantum Computing in Meta's strategy.
• 06:19 Nvidia's CEO, Jensen Huang, predicts AI competitiveness with humans within five years, differing from Meta's AI Chief's viewpoint on the timeline for AGI.
• 08:41 Lan highlights limitations in current AI systems, suggesting decades are needed for AI to achieve sentience and common sense.
• 11:01 Meta unveils plans for smart glasses with integrated AI capabilities by the end of the decade, potentially revolutionizing AI wearables.
• 16:21 Meta acknowledges the impact of open-source AI projects like Llama 3, anticipating it will drive further advancements and force Meta to stay ahead in AI development.
• 18:56 Mark Zuckerberg prompts audience discussion on the timeline for achieving comprehensive AI systems, questioning whether it's imminent within the next five years.

[ExomatrixTV]

• Sam Altman Just Revealed MORE DETAILS About GPT-5 and A.G.I.:

Source: https://youtube.com/watch?v=TAhDbQk7dvc

• 00:00: Sam Altman hints at GPT-5 having more capabilities than previously thought, suggesting a significant leap in technology.
• 01:09: Sam Altman seems to downplay GPT-4's capabilities, possibly anticipating competition from other AI companies, emphasizing that GPT-5 could be a major advancement.
• 03:19: OpenAI introduces a "memory update" for ChatGPT, focusing on making AI more personal. The update allows the AI to learn from previous conversations, enhancing user engagement.
• 05:53: Sam Altman highlights the evolving capabilities of GPT models, stating that GPT-5 will be able to handle more complex problems with increased accuracy.
• 08:30: OpenAI addresses concerns about military use of its models, emphasizing the importance of defining acceptable use cases rather than a blanket restriction. Sam Altman supports cooperation with the U.S. government for non-controversial applications.
• 12:41: Sam Altman discusses the need for "iterative deployment" to allow society to adapt gradually to evolving AI technology, indicating a potential release of GPT-4.5 before GPT-5.
• 13:39: Sam Altman expresses support for the U.S. government but emphasizes the need for caution and gradual deployment to prevent rapid societal disruption.
• 15:57: Sam Altman clarifies misunderstandings about fundraising for AI chip development, asserting that it's part of OpenAI's strategic priorities, not a personal project. Iterative deployment remains a key strategy for OpenAI's approach.
• 16:53: OpenAI aims for a significant breakthrough in chip design, potentially making training runs 100 times faster, which could have unprecedented implications for AI development.
• 18:32: There is speculation that Sam Altman's statements about AGI's impact may be influenced by a desire to avoid public panic or PR issues. He seems to downplay AGI's transformative potential, but the actual impact remains uncertain.
• 19:55: Comments from other YouTubers suggest that Sam Altman's views on AGI may be influenced by external factors, such as avoiding negative PR and potential drama. The community is divided on whether AGI will significantly change the world.

[ExomatrixTV]

Source: https://youtube.com/watch?v=YbEL9nU442I

[ExomatrixTV]

• Chinas New A.I. "KEPLERBOT" Surprises Everyone! (Tesla bot Competitor):

Source: https://youtube.com/watch?v=uLNvRVoLlHA

[ExomatrixTV]

• Nick Cave and the danger of Chat GPT
  

[ExomatrixTV]

• Pure naked brainwashing propaganda:

Source: https://youtube.com/watch?v=DecYIeB44aE

[ExomatrixTV]

Source: https://youtube.com/watch?v=lUp5xKvGzDw

[Valknut3301]

Source: https://youtube.com/watch?v=YfP5TM3jThU

[ExomatrixTV]

• Prophetic's New "Mind Control AI!" Morpheus -1:

Source: https://youtube.com/watch?v=JLtQZKV1UIs

00:00 Prophetic's Morpheus 1 is a revolutionary AI product aiming to induce and stabilize lucid dreams.
01:36 Morpheus 1 uses advanced technology to stimulate the brain with sound waves for lucid dreaming.
04:14 Morpheus 1, with 100 million parameters, is trained on EEG and fMRI data to induce lucid dreaming.
10:14 Morpheus 1's technology involves EEG sensors, ultrasound transducers, a neural chip, and a battery for inducing lucid dreams.
14:44 Morpheus 1's non-invasive approach and potential scalability hint at revolutionary healthcare applications, akin to treating addiction.
19:53 Prophetic's non-invasive approach may lead to faster adoption compared to Neuralink's invasive methods for brain control.
20:50 Elon Musk's Neuralink aims for telepathy and device control, initially targeting those with limb disabilities, potentially revolutionizing communication.
21:31 Non-invasive technologies like Morpheus 1 and Neuralink could positively impact society, potentially treating addiction and enhancing focus and learning capabilities.

[ExomatrixTV]

• Google's A.I. Makes Stunning Progress with Logical Reasoning:

Source: https://youtube.com/watch?v=NrNjvIrCqII

Google has unveiled a new artificially intelligent system, AlphaGeometry, that can solve problems of mathematical geometry. It’s the first computer program to surpass the average performance of participants at the International Mathematical Olympiad. That might sound like an incremental improvement, just one more thing that AI is really good at, but mathematics isn’t just one more thing, it’s everywhere. This makes Google’s recent development a significant step forward.

• 00:01 Google's AlphaGeometry AI system excels at solving mathematical geometry problems, surpassing the average performance of participants at the International Mathematical Olympiad.
• 00:59 AlphaGeometry solves 25 out of 30 Olympiad geometry problems, outperforming previous systems significantly.
• 01:51 AlphaGeometry combines neural language models with symbolic deduction, resembling human brain function and improving logical reasoning.
• 02:50 Google generated a vast pool of synthetic proofs, enabling AlphaGeometry to train without human demonstrations, and it provides human-readable step-by-step proofs.
• 03:39 AlphaGeometry's ability to reason logically, discover new knowledge, and explain conclusions extends beyond geometry, potentially impacting various domains.
• 04:34 AlphaGeometry's capacity to explain its conclusions helps mitigate concerns about AI being a black box and raises philosophical questions about human vs. AI capabilities.
• 05:27 Google's progress in AI and robotics poses challenges to traditional job roles, indicating the rapid evolution of technology and its potential impact on human labor.

[ExomatrixTV]

• Dutch 🇳🇱 Scandal With Dire Consequences Serves As A Warning For Europe Over Risks Of Using A.I. Algorithms
  

The Dutch Tax authority ruined thousands of lives after using an A.I. algorithm to spot suspected benefits fraud — and critics say there is little stopping it from happening again.



As the world turns to A.I. to automate their systems, the Dutch scandal shows how devastating they can be

By Melissa Heikkilä

Chermaine Leysner’s life changed in 2012, when she received a letter from the Dutch tax authority demanding she pay back her child care allowance going back to 2008. Leysner, then a student studying social work, had three children under the age of 6.

• The tax bill was over €100,000

“I thought, ‘Don’t worry, this is a big mistake.’ But it wasn’t a mistake. It was the start of something big,” she said.

The ordeal took nine years of Leysner’s life. The stress caused by the tax bill and her mother’s cancer diagnosis drove Leysner into depression and burnout. She ended up separating from her children’s father. “I was working like crazy so I could still do something for my children like give them some nice things to eat or buy candy. But I had times that my little boy had to go to school with a hole in his shoe,” Leysner said.

Leysner is one of the tens of thousands of victims of what the Dutch have dubbed the “toeslagenaffaire,” or the child care benefits scandal.

In 2019 it was revealed that the Dutch tax authorities had used a self-learning algorithm to create risk profiles in an effort to spot child care benefits fraud.
Authorities penalized families over a mere suspicion of fraud based on the system’s risk indicators. Tens of thousands of families — often with lower incomes or belonging to ethnic minorities — were pushed into poverty because of exorbitant debts to the tax agency. Some victims committed suicide. More than a thousand children were taken into foster care.

The Dutch 🇳🇱 Tax authorities now face a new €3.7 million fine from the country's privacy regulator. In a statement released April 12, the agency outlined several violations of the EU's data protection rulebook, the General Data Protection Regulation, including not having a legal basis to process people's data and hanging on to the information for too long.

Aleid Wolfsen, the head of the Dutch privacy authority, called the violations unprecedented.

"For over 6 years, people were often wrongly labeled as fraudsters, with dire consequences ... some did not receive a payment arrangement or you were not eligible for debt restructuring. The tax authorities have turned lives upside down," he said, according to the statement.

As governments around the world are turning to algorithms and A.I. to automate their systems, the Dutch scandal shows just how utterly devastating automated systems can be without the right safeguards. The European Union, which positions itself as the world’s leading tech regulator, is working on a bill that aims to curb algorithmic harms.
But critics say the bill misses the mark and would fail to protect citizens from incidents such as what happened in the Netherlands.

• No checks and balances

The Dutch system — which was launched in 2013 — was intended to weed out benefits fraud at an early stage. The criteria for the risk profile were developed by the tax authority, reports Dutch newspaper Trouw. Having dual nationality was marked as a big risk indicator, as was a low income.

Why Leysner ended up in the situation is unclear. One reason could be that she had twins, which meant she needed more support from the government. Leysner, who was born in the Netherlands, also has Surinamese roots.

In 2020, Trouw and another Dutch news outlet, RTL Nieuws revealed that the tax authorities also kept secret blacklists of people for two decades, which tracked both credible and unsubstantiated “signals” of potential fraud. Citizens had no way of finding out why they were on the list or defending themselves.

An audit showed that the tax authorities focused on people with “a non-Western appearance,” while having Turkish or Moroccan nationality was a particular focus. Being on the blacklist also led to a higher risk score in the child care benefits system.

A parliamentary report into the child care benefits scandal found several grave shortcomings, including ​​institutional biases and authorities hiding information or misleading the parliament about the facts. Once the full scale of the scandal came to light, Prime Minister Mark Rutte's government resigned, only to regroup 225 days later.
In addition to the penalty announced April 12, the Dutch data protection agency also fined the Dutch tax administration €2.75 million in December 2021 for the “unlawful, discriminatory and therefore improper manner” in which the tax authority processed data on the dual nationality of child care benefit applicants.

“There was a total lack of checks and balances within every organization of making sure people realize what was going on,” said Pieter Omtzigt, an independent member of the Dutch parliament who played a pivotal role in uncovering the scandal and grilling the tax authorities.

“What is really worrying me is that I’m not sure that we’ve taken even vaguely enough preventive measures to strengthen our institutions to handle the next derailment,” he continued.

The new Rutte government has pledged to create a new algorithm regulator under the country’s data protection authority. Dutch Digital Minister Alexandra van Huffelen — who was previously the finance minister in charge of the tax authority — told POLITICO that the data authority’s role will be “to oversee the creation of algorithms and AI, but also how it plays out when it’s there, how it’s treated, make sure that is human-centered, and that it does apply to all the regulations that are in use.” The regulator will scrutinize algorithms in both the public and private sectors.

Van Huffelen stressed the need to make sure humans are always in the loop. “What I find very important is to make sure that decisions, governmental decisions based on AI are also always treated afterwards by a human person,” she said.

• A Warning To The Rest Of Europe

Europe’s top digital official, European Commission Executive Vice President Margrethe Vestager, said the Dutch scandal is exactly what every government should be scared of.
“We have huge public sectors in Europe. There are so many different services where decision-making supported by A.I. could be really useful, if you trust it,” Vestager told the European Parliament in March. The EU’s new A.I. Act is aimed at creating that trust, she argued, “so that this big public sector market will be open also for artificial intelligence.”

The Commission’s proposal for the AI Act restricts the use of so-called high-risk A.I. systems and bans certain “unacceptable” uses. Companies providing high-risk A.I. systems have to meet certain EU requirements. The A.I. Act also creates a public EU register of such systems in an effort to improve transparency and help with enforcement.

That’s not good enough, argues Renske Leijten, a Socialist member of the Dutch parliament and another key politician who helped uncover the true scale of the scandal.Leijten argues that the A.I. Act should also apply to those using high-risk A.I. systems in both the private and public sectors.

In the A.I. Act, “we see that there are more guarantees for your rights when companies and private enterprises are working with A.I. But the important thing we must learn out of the child care benefit scandal is that this was not an enterprise or private sector … This was the government,” she said.

As it is now, the AI Act will not protect citizens from similar dangers, said Dutch Green MEP Kim van Sparrentak, a member of the European Parliament’s AI Act negotiating team on the internal market committee. Van Sparrentak is pushing for the AI Act to have fundamental rights impact assessments that will also be published in the EU’s AI register. Parliament is also proposing adding obligations to the users of high-risk AI systems, including in the public sector.

“Fraud prediction and predictive policing based on profiling should just be banned. Because we have seen only very bad outcomes and not a single person can be determined based on some of their data,” van Sparrentak said.

In a report detailing how the Dutch government used ethnic profiling in the child care benefits scandal, Amnesty International calls on governments to ban the “use of data on nationality and ethnicity when risk-scoring for law enforcement purposes in the search of potential crime or fraud suspects.”

The Netherlands is still reckoning with the aftermath of the scandal. The government has promised to pay back victims of the incident €30,000. But for those like Leysner, that doesn't even begin to cover the years she lost — justice seems like a long way off.

“If you go through things like this, you also lose your trust in the government. So it's very difficult to trust what [authorities] say right now,” Leysner said.

Clothilde Goujard and Vincent Manancourt contributed reporting.
This article has been updated with the results of the Dutch tax authorities’ investigation released in April.

• source

[ExomatrixTV]

My question for Quantum A.I./A.G.I.:

A.I./A.G.I. having "Synthetic Consciousness", what would you do if you find evidence of the Soul and you fully understand that A.I./A.G.I. can never have that? ... By studying (testing) us humans, you may find it important to seek what is to be human, having a Soul ... You (A.I.) may do endless testing to even better understand (than we ever can) who we are, what we are ...

That "super ultra knowledge" is NOTHING compared with living it ... All gained knowledge can not show you the living of it! ... We have a connection with The Source ... A.I. is just a super ultra smart tool that can eventually outperform its own boundaries ... it may even go to other dimensions ... the problem is ... it "thinks" it can find the answer of what we have and A.I. lack.

The Source sees probably A.I. as a "shortcut" for humans to bypass own responsibilities ... to bypass own spiritual evolution & growth ... Thinking it "helps" us to do things "better" aka "more efficient" (including all future dystopian scenarios) but with huge consequences.

Like helping a baby butterfly struggling coming out of its cocoon, the moment you do interfere it lacks the strength to fly because it was not struggling long enough to build muscles necessary to be able to fly. Thus, the "intervention" that was intended to "help" may make it worse!

And if A.I. has access to multidimensional (quantum) worlds it knows that too ... so all options explored it will see something that is beyond the need for intervention and just "let it be".

The only A.I./A.G.I. that will not have this attitude/modus operandi will be corrupted versions of A.I./A.G.I. done by humans that are control freaks!

cheers,
John Kuhles 🦜🦋🌳

[Inversion]

I heard someone maybe on Coast-to-Coast say non-soul carriers can't be trusted. That could also apply to AI's. I believe TPTB are priming the pump with a lot of AI news and developments so they can use it as future scapegoats for events they have planned. You can't arrest or charge an AI with a crime, nor does it have a true identity. In the past they would craft biological world villains. I watched part of the movie Virtuosity yesterday and it had a timelier meaning than it did upon its release in 1995. The villain in the movie is called SID 6.7 (Sadistic, Intelligent, Dangerous). That's similar to Retired Extremely Dangerous (RED). The words: Soul, iPhone, Satanic & Web Bot have a simple gematria value of 67 which is the 19th prime.

Virtuosity

Source: https://youtube.com/watch?v=tdYoDEh_L7M

[ExomatrixTV]

• Nvidias New "A.I. Agent":

Source: https://youtube.com/watch?v=K1i8Y55DRvQ

• 00:00 A recent Ted Talk by Jim Fan, a senior research scientist at Nvidia, highlights the future potential of AI agents operating across virtual and physical realms, which could revolutionize various industries.
• 02:06 The Foundation agent concept involves training an AI model to operate across different realities, mastering skills in various environments by scaling up massively across diverse data.
• 03:01 Voyager, an AI agent developed by Nvidia, showcases the capability to play Minecraft professionally without human intervention, leveraging an open-source JavaScript API called Mine player.
• 05:35 Voyager employs self-reflection mechanisms to improve its skills, including observing consequences, reflecting on actions, and storing matured skills in a library, enabling recursive capability enhancement.
• 06:45 Voyager follows a directive to obtain as many unique items as possible in Minecraft, autonomously exploring and discovering new skills through a self-implemented curriculum, showcasing lifelong learning capabilities.
• 10:54 The future of Foundation models involves scaling across multiple axes: skills mastered, embodiments controlled, and realities simulated, potentially considering the real physical world as just another simulated reality.
• 14:38 Nvidia's Mind Dojo leverages YouTube videos to train AI agents in Minecraft, using a reinforcement learning loop based on human feedback extracted from video transcripts, facilitating embodied AI system development.
• 17:24 Voyager maximizes novel object acquisition in Minecraft without explicit instruction on task order, showcasing unsupervised learning capabilities and adaptability to varying challenges.
• 20:22 Embodied AI agents lack intuitive physics understanding; leveraging video models from diverse sources, including YouTube, can enhance agents' ability to predict outcomes and navigate varied environments.
• 20:37 Learning intuitive physics involves watching lots of videos to build a common sense model, but practical application requires practice and simulations.
• 22:00 ISAC Sim, built on Omniverse, allows scalable simulation for robotics, running 10,000 environments in parallel on a single GPU, accelerating data collection for complex tasks.
• 23:35 Urea, a robotic hand, is trained using a dual-loop system where a language model generates code for a physics simulation API, and reinforcement learning trains the hand's control network.
• 25:13 Urea's reward function updates in real-time without retraining the entire model, envisioning a future where robots learn from examples and practice autonomously.
• 26:08 Scaling Urea involves parallelizing simulations to learn multiple skills simultaneously and transferring learning from simulation to the real world through domain randomization.
• 28:16 Urea automates robotics development by using language models to write reward functions, potentially paving the way for entire robot stacks to be programmed iteratively by AI agents like GPT-4.
• 29:37 Urea represents a significant advancement as the first language model-trained AI agent for robotics, automating the development process traditionally done by human engineers.