A.I. is Progressing Faster Than You Think!

[ExomatrixTV]

• A.I. News is getting INSANE! Mass Production Robots, OpenAI Rumor Mill and Unreal A.I. Video:

Source: https://youtube.com/watch?v=9pV0tDNwCdU

The latest AI News. Learn about LLMs, Gen AI and get ready for the rollout of AGI. Wes Roth covers the latest happenings in the world of OpenAI, Google, Anthropic, NVIDIA and Open Source AI.

• 00:00 A.I. News This Week
• 01:56 Get a (Personal Surveillance) Unitree G1 A.I. Robot at $16,000
  
• 10:40 OpenAI Rumor Mill on Strawberry Q-Star
• 24:45 A.I. Video, Runway Gen-3 Alpha Turbo and SORA Showcases

[ExomatrixTV]

• Artificial Genocidal Intelligence: How Israel Is Automating Human Rights Abuses And War Crimes

Recent public discourse on artificial intelligence (AI) has been dominated by doomsday scenarios and sci-fi predictions of advanced AI systems escaping human control. As a result, when people talk about AI warfare, they tend to think of fully automated “killer robots” on the loose. What Israel’s war on Gaza has revealed, however, is that much more mundane and not particularly sophisticated AI surveillance systems are already being used to unleash dystopian, tech-driven horrors.

As recent media investigations have uncovered, Israeli AI targeting systems “Lavender” and “The Gospel” are automating mass slaughter and destruction across the Gaza Strip. This is the apotheosis of many AI rights-abusing trends, such as biometric surveillance systems and predictive policing tools, that we have previously warned against. The AI-enhanced warfare in Gaza demonstrates the urgent need for governments to ban uses of technologies that are incompatible with human rights — in times of peace as well as war.

• Death from above: Gaza as an experimental tech laboratory

Israel’s use of AI in warfare is not new. For decades, Israel has used the Gaza Strip as a testing ground for new technologies and weaponry, which it subsequently sells to other states. Its 11-day military bombardment of Gaza in May 2021 was even dubbed by the Israeli Defense Forces (IDF) the “first artificial intelligence war.” In the current assault on Gaza, we’ve seen Israel use three broad categories of AI tools:

• Lethal autonomous weapon systems (LAWS) and semi-autonomous weapons (semi-LAWS): The Israeli army has pioneered the use of remote-controlled quadcopters equipped with machine guns and missiles to surveil, terrorize, and kill civilians sheltering in tents, schools, hospitals, and residential areas. Residents of Gaza’s Nuseirat Refugee Camp report that some drones broadcast sounds of babies and women crying, in order to lure out and target Palestinians. For years, Israel has deployed “suicide drones,” automated “Robo-Snipers,” and AI-powered turrets to create “automated kill-zones” along the Gaza border, while in 2021, it also deployed a semi-autonomous military robot named “Jaguar,” promoted as “one of the first military robots in the world that can substitute soldiers on the borders.”

• Facial recognition systems and biometric surveillance: Israel’s ground invasion of Gaza was an opportunity to expand its biometric surveillance of Palestinians, already deployed in the West Bank and East Jerusalem. The New York Times reported on how the Israeli military is using an expansive facial recognition system in Gaza “to conduct mass surveillance there, collecting and cataloging the faces of Palestinians without their knowledge or consent.” According to the report, this system uses technology from Israeli company Corsight and Google Photos to pick out faces from crowds and even from grainy drone footage.
• Automated target generation systems: most notably the Gospel, which generates infrastructural targets, Lavender, which generates individual human targets, and Where is Daddy?, a system designed to track and target suspected militants when they are at home with their families.

LAWS, and to a certain degree semi-LAWS, have been condemned by the UN as “politically unacceptable and morally repugnant,” and there are growing calls for them to be banned. The use of AI target-generation systems in warfare, coupled with biometric mass surveillance, warrants further attention, given how they demonstrate the devastating, even genocidal, wartime impact of technologies that should already be banned in peacetime.

• Automating genocide: the fatal consequences of AI in warfare

While they may initially seem like a shocking new frontier, the use of targeting systems such as the Gospel or Lavender is in fact merely the apex of another AI system already used worldwide: predictive policing. Just as the Israeli army uses “data-driven systems” to predict who may be a Hamas operative or which building may be a Hamas stronghold, law enforcement use AI systems to predict which children might commit a crime or be part of a gang, or where to deploy extra police forces. Such systems are inherently discriminatory and profoundly flawed, with severe consequences for the people concerned. In Gaza, those consequences can be fatal.

When we consider the impact of such systems on human rights, we need to look at the consequences, first, if they malfunction and second, if they work as intended. In both situations, reducing human beings to statistical data points has grave and irreversible consequences for people’s dignity, safety, and lives.

When it comes to targeting systems malfunctioning, a key concern is that these systems are built and trained on flawed data. According to +972 Magazine’s investigation, the training data fed into the system included information on non-combatant employees of Gaza’s Hamas government, resulting in Lavender mistakenly flagging as targets individuals with communication or behavioral patterns similar to those of known Hamas militants. These included police and civil defense workers, militants’ relatives, and even individuals who merely had the same name as Hamas operatives.

As reported by +972 Magazine, even though Lavender had a 10% error rate when identifying an individual’s affiliation with Hamas, the IDF got sweeping approval to automatically adopt its kill lists “as if it were a human decision.” Soldiers reported not being required to thoroughly or independently check the accuracy of Lavender’s outputs or its intelligence data sources; the only mandatory check before authorizing a bombing was to ensure that the marked target was male, which took about “20 seconds.”

There is also no robust way to test such systems’ accuracy, nor to validate their performance. The process of verifying a person’s affiliation with Hamas is extremely complex, especially given the potentially flawed nature of the data such predictions are based on. It has been repeatedly shown that machine learning systems cannot reliably predict complex human attributes, such as “potential future criminality,” both because the data is inadequate and the systems rely on proxies (e.g. data about arrests as opposed to data on actual crimes committed), but also because it is simply not the case that “more data equals better predictions.”

Beyond such systems’ lack of accuracy or human verification, a more existential concern is how their use is fundamentally at odds with human rights, and the inherent human dignity from which those rights derive. This is demonstrated by the reality that Israel’s AI targeting systems are working just as intended; as the IDF has said, “right now we’re focused on what causes maximum damage.” Soldiers were reportedly pressured to produce more bombing targets each day and have allegedly used unguided missiles, or “dumb bombs,” to target alleged junior militants marked by Lavender in their homes. This, coupled with Israel’s use of AI to calculate collateral damage, has resulted in the mass killing of Palestinians and a level of destruction not seen since World War II, according to the UN.

The use of these AI targeting systems effectively offloads human responsibility for life-and-death decisions, attempting to hide an utterly unsophisticated campaign of mass destruction and murder behind a veneer of algorithmic objectivity. There is no ethical or humane way to use systems such as Lavender or Where is Daddy? because they are premised on the fundamental dehumanization of people. They must be banned — and we need to abolish the surveillance infrastructure, biometric databases, and other “peacetime tools” that enable such systems to be deployed in war zones.

• Big Tech’s role in atrocity crimes

As discussed above, surveillance infrastructure developed and deployed during peacetime is easily repurposed during war to enable the worst human rights abuses. This brings into question the role of Big Tech companies in supplying civilian technologies that can be used for military ends — most notably the cloud computing and machine learning services that Google and Amazon Web Services provide to Israel through Project Nimbus. Additionally, it has been suggested that metadata from WhatsApp, owned by Meta, is being used to provide data for the Lavender targeting system.

By failing to address their human rights responsibilities, and continuing to provide these services to Israel’s government, companies such as Google, AWS, and Meta risk being complicit in aiding or abetting the Israeli military and intelligence apparatus and its alleged atrocity crimes in Gaza.

We cannot allow the development of mass surveillance infrastructure that can be used to produce targets in bulk, determine a “reasonable” number of civilian casualties, and ultimately abdicate human responsibility for life-and-death decisions. We reiterate our call on all governments to ban uses of AI that are incompatible with human rights, including predictive policing, biometric mass surveillance, and target generation systems such as Lavender. The systems Israel is using in Gaza, together with the government’s long-standing and ever-expanding mass surveillance lab, offer a glimpse into an even more dystopian future that cannot and should not ever be allowed to come to fruition.

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[ExomatrixTV]

[Blastolabs]

It seems worth pointing out that so far humans have not come close to developing any thing resembling "artificial intelligence"

GPT one of the most advanced/ well known has zero intelligence.

It simply has analyzed everything on the internet and picks new letters/ words based on probability alone. It has no ability to think, reason, have empathy or not have empathy, it's just repeats the most probable words based on what it has consumed

[ExomatrixTV]

• "A.I. Scientist" Can Discover New Science! "Automated (Autonomous?) Self-Improving A.I." = A.G.I.:

Source: https://youtube.com/watch?v=LTM_3EUwUmE

• 00:13 A.G.I. could be closer than expected with advancements in AI-driven scientific discovery, as indicated by the AI Scientist paper from Sakana AI.
• 02:42 The AI Scientist system automates scientific research, from idea generation to paper writing and peer review, marking a significant step towards autonomous scientific discovery.
• 05:39 AI Scientist demonstrates capability in producing novel research in machine learning fields autonomously, showcasing potential for accelerating scientific progress.
• 09:32 Processes of the AI Scientist include idea generation, experiment execution, paper writing, and automated peer review, all contributing to its autonomous research capabilities.
• 14:33 Ethical concerns around AI Scientist include potential misuse and impact on scientific quality control, highlighting the need for transparency in AI-generated content.
• 17:33 Future implications of AI Scientist suggest a shift towards fully AI-driven scientific ecosystems, though human scientists' role may evolve rather than diminish.

[ExomatrixTV]

• BIG AI NEWS: 10,000X Bigger Than GPT-4, AGI 2025, New Boston Dynamics Demo And More:

Source: https://youtube.com/watch?v=Sus8d4Ardyk

• 00:15 New T2V
  
• 04:31 Midjourney Update
  
• 05:47 Emotional A.I. ???
  
• 09:43 10,000x GPT4
  
• 13:11 New Boston Dynamics Demo
  
• 15:20 New Robot Demo
  
• 17:36 Robots Trained Quicker
  
• 18:41 Gemini AI
  
• 20:58 Gemini Live Demo
  
• 22:22 A.G.I. 2025?

[ExomatrixTV]

• In a Leaked Recording, Amazon Cloud Chief Tells Employees That Most Developers Could Stop Coding Soon As A.I. Takes Over

official mainstream "businessinsider.com" report

[ExomatrixTV]

• Grok 2 Large is Smart, Uncensored and has "DANGEROUS POTENTIAL":

Source: https://youtube.com/watch?v=o1iZ4QOveLk

00:13 Elon Musk's comments on Gru Mini highlight concerns about AI's potential.
00:26 GPT-4's speed improvement allows handling of the large Grok 2 model efficiently.
01:05 Grok 2 demonstrates spatial reasoning capabilities, accurately placing Boston to the left from South Dakota's perspective.
03:44 Grok 2 attempts to solve a murder mystery using logical deductions but struggles with complex premises.
08:38 Grok 2 encounters challenges in solving the Wason selection problem due to misinterpretation of the rules.
17:20 Grok 2 successfully iterates and enhances a snake game by adding features dynamically, showcasing coding capabilities.
20:22 Grok 2 shows improved performance with iterative corrections, though collision detection remains a persistent issue.
21:19 Grok 2 handles sensitive queries and generates uncensored responses, unlike some other AI models.
22:57 Grok 2 exhibits strong capability in generating varied content, including images, with less restriction compared to other models.
25:16 Grok 2 demonstrates advanced coding abilities surpassing many other models, emphasizing its unrestricted nature for user queries.

[ExomatrixTV]

Source: https://youtube.com/watch?v=96g2Dap_l3U

[ExomatrixTV]

• Project Orion (GPT-5 Strawberry) Imminent, Already Shown To FEDS!:

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

• BREAKING: OpenAI's "ORION" Model! 🔥 Feds get involved 🔥 All details exposed 🔥 It is over...:

Source: https://youtube.com/watch?v=My4Fj3fxct4

• GPT-5 Latest Rumors - Project Orion by end of year?:

Source: https://youtube.com/watch?v=UTbP-MLLei4

[civjo]

In an analysis we did on AL Gore at a Bloomberg event, he mentions an app given to special folks that does reverse speech transcriptions.

We also believe that people in the audience aren't necessarily just listening to translations.

https://rumble.com/v44mpz3-reverse-s...t-brokers.html

[ExomatrixTV]

• Linux Creator Reveals the Future Of Programming with A.I.:

Source: https://youtube.com/watch?v=fVXl00PrM3s

00:15 - Famous computer scientist
01:48 - AI code assistance
02:58 - Next abstraction level
03:41 - Language model evolution
05:47 - Obvious bug detection
07:30 - Human pattern recognition
10:14 - Continuous human errors
11:55 - Caution against hype
12:34 - AI's positive influences
14:05 - Natural language applications
15:27 - Improved development tools
18:14 - Importance of open data

[ExomatrixTV]

• AGI, SingularityNET, Longevity Escape Velocity with Dr. Ben Goertzel:

Source: https://youtube.com/watch?v=4_2XJMsjC8g

Today I have the pleasure of speaking with a visionary thinker and innovator who’s making waves in the world of artificial intelligence and the future of human health. Dr. Ben Goertzel is the founder and CEO of SingularityNET, a decentralized AI platform that aims to democratize access to advanced artificial intelligence. He’s also the mind behind OpenCog, an open-source project dedicated to developing artificial general intelligence, and he’s a key figure at Hanson Robotics, where he helped create the well-known AI robot, Sophia.

Beyond AI, Dr. Goertzel is deeply involved in exploring how technology can enhance human longevity, contributing to initiatives like Rejuve, which aims to leverage AI and blockchain to advance life extension research. With a career that spans cognitive science, AI development, and innovative health tech, Dr. Goertzel is shaping the future in ways that will impact all of us.

[ExomatrixTV]

Ex-Google CEO Eric Schmidt recently made headlines with some controversial comments about AI during an interview conduced at Stanford University. This interview was taken down at his request after he admitted to misspeaking. But did Eric Schmidt actually let on to something big coming in terms of the future of A.I.?

Source: https://youtube.com/watch?v=EUeryhp8HSQ

[Bo Atkinson]

Posted by ExomatrixTV (here)
Ex-Google CEO Eric Schmidt recently made headlines with some controversial comments about AI during an interview conduced at Stanford University. This interview was taken down at his request after he admitted to misspeaking. But did Eric Schmidt actually let on to something big coming in terms of the future of A.I.?

Source: https://youtube.com/watch?v=EUeryhp8HSQ

At first download, I got less than half way and second download most way through, because their word use of knowledge is overly focussed on technological profiteering, all hemmed in around materialism.

Allusions to a "supposed science of knowing how to know for profit" includes the house of mirrors for playing games of competition, much like a global poker game. Following is a first impression of it all with a few questions added at the end.

Ex-Google CEO Eric Schmidt says that software development appears to be heavily invested in hybrid search engines, (my interpretation), which perform tasks like forming hopeful hypotheses within chemistry for example. Massive search functions they expect to reproduce ingenuity and the next big thing for growth economics.

A big tool of innovation is "the context window" applied to technological and likely marketing searches as well, to improve upon an AI archive search like: "phone + frequency + gallium + lithography"... Multiple search words would be better weighted and automatically searched to retrieve new search terms and automatic processing of results extrapolate certain contexts in the results, instead of manual, successional researching).

Users such as CEOs and prototypers can throw in their own deductions from the results and end up with highly developed plans, somewhat automatically, and this feeds the new eletist on top of the world, the one "in the know", so to speak, the one's who can capture investments and supporters.

A manufacturer could advantageously develop a newly competitive product, or is this product really demanded in the market? The search engine might elaborate on that before efforts are wasted.

Basically just a few giant buyers with research-objectives would buy the best of this and stock market shares are exciting buyers.

Big monied industries support and use tech that way, but like the car market, fewer consumers will afford new cars, and at least my State is demanding that independent mechanics need access to diagnostic software codes for repairing cars, before permitting new car sales in our State. It is another aspect of engineered monopolies and curious obsolescence.

Why is mankind so monetized? This does acknowledge man's robotic nature but this still lacks knowledge of our better purposes in life and in evolution, and without such knowledge we are at the edge of self destruction, or self thrashing, while poisoning organic life should be placed in that "context window"!

AI with "context windows" still keep us imprisoned in materialism and emotionality, until much larger numbers of people begin to discipline their own mentality and not just parrot others, and this quest would introduce a broader range of advancing knowledge.

We realize by now that AI is mostly bigger archives of stored data, delivered instantly and processed by many optional objectives for a user's input query, and free search engines already advertise some limited AI enhancements.

Developing valuable cultures for future generations, or even for old age is barely existent, but if common sense can overcome the parroting, then mentality can readily develop on a much larger scale. However this invokes another bit of suppressed knowledge.

Knowledge about incarnated knowledge evades searchers: Is that so? Why is it that geniuses and benefactors are not from one single extended family? What accounts for geniuses of the renaissance? Was there a readiness of certain communities which enabled the geniuses to be born? Can we look beyond short dull lives of indulgence to search the meaning behind evolving geniuses? Is the final quarter of this vid worth slogging through? Let me know.

[ExomatrixTV]

[ExomatrixTV]

• Amazon's LEAKED Conversation Reveals Stunning Truth About The Future Of Software Engineering:

Source: https://youtube.com/watch?v=I1dB_6h09pU

The latest AI News. Learn about LLMs, Gen AI and get ready for the rollout of AGI. Wes Roth covers the latest happenings in the world of OpenAI, Google, Anthropic, NVIDIA and Open Source AI.

I think Jensen Huang has it backwards. We (and our kids) may not need to actually code in the future, but learning how to code changes the way you think in fundamental ways. It's like saying you don't need to learn how to do multiplication tables because we have calculators. Learning math basics changes the way you think.

[ExomatrixTV]

• GPT-5 SOON, AI-to-AI Payments Using Crypto, xAI GPU Cluster is Live, 1,000 Agent Simulation:

Source: https://youtube.com/watch?v=7c3t5jAg0v4

0:00 - GPT-5 Coming Soon: OpenAI's Next Frontier
2:09 - Elon Musk's Colossus: The Largest AI Training Cluster
3:16 - Project Sid: Autonomous AI Agents in Minecraft
6:54 - Meta's Mixed Reality Glasses: Puffin in Development
9:58 - Sponsor: Vulture - Cloud Provider for AI Workloads
11:32 - OpenAI's $100 Billion Valuation and Future Challenges
13:32 - Meta AI Assistant Reaches 400 Million Users
15:39 - MidJourney Ventures into Hardware
16:40 - AI Safety: OpenAI and Anthropic's Collaboration with the US Government
18:08 - Nous Research Hermes Updates
18:45 - Google AI Studio Updates
19:25 - 100m Token Context Model
20:28 - AI-to-AI Crypto Transactions: A New Frontier
22:52 - Alexa to be powered by Claude

[ExomatrixTV]

• OpenAI Releases GPT Strawberry 🍓 Intelligence Explosion!:

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

OpenAI just released GPT o1, an incredible model that can think long-term, reason, perform math and science, and so much more. Let's review the announcement!

• GPT-o1: The Best Model I've Ever Tested 🍓 I Need New Tests!:

Source: https://youtube.com/watch?v=SbrfjBV8EzM

[ExomatrixTV]

• Elon Musk - Where A.I.'s Biggest Impact Will Be:

Source: https://youtube.com/watch?v=C22VEGVL1oQ

Elon Musk gives his predictions for the future impacts of AI.