#Generative AI For Factory Efficiency

[rubylogan15]

Generative AI: Transforming manufacturing with predictive maintenance, innovative designs, superior quality control, and efficient supply chains. Drive innovation in your industry!

[jcmarchi]

Nvidia CEO: In 5 Years, AI Could Beat Human Tests - Technology Org

New Post has been published on https://thedigitalinsider.com/nvidia-ceo-in-5-years-ai-could-beat-human-tests-technology-org/

Nvidia CEO: In 5 Years, AI Could Beat Human Tests - Technology Org

Nvidia’s CEO, Jensen Huang, stated last week that artificial general intelligence (AGI) could potentially be achieved within five years, particularly when defined by the ability to pass human tests.

Jensen Huang, CEO, NVIDIA. Photo by Duy Ho for Fortune via Flickr, CC BY-NC-ND 2.0 license

Huang, who leads Nvidia, a prominent manufacturer of artificial intelligence chips utilized in systems like OpenAI’s ChatGPT, shared his perspective during an economic forum at Stanford University. He emphasized that the timeline for AGI largely hinges on how the goal is defined, suggesting that if the criterion is the capability to excel in a broad range of human tests, it could be achievable within the next five years. Nvidia recently reached a market value of $2 trillion.

Currently, artificial intelligence (AI) exhibits proficiency in certain tests like legal bar exams, while encountering challenges in specialized medical assessments such as gastroenterology.

According to Nvidia’s CEO, Jensen Huang, within the next five years, AI should be capable of excelling in a broad spectrum of tests, including specialized medical ones. However, the timeline for achieving artificial general intelligence (AGI) remains uncertain, as there is disagreement among scientists regarding the understanding of how human minds function.

Huang acknowledged the need for more chip factories (“fabs”) to support the growth of the AI industry, aligning with OpenAI Chief Executive Sam Altman’s perspective. He emphasized that while an increase in fabs is necessary, ongoing improvements in algorithms and AI processing efficiency will contribute to limiting the overall demand for chips.

Huang also emphasized a continuous enhancement in computing efficiency, projecting a significant improvement over the next decade.

Written by Alius Noreika

You can offer your link to a page which is relevant to the topic of this post.

[justinspoliticalcorner]

David Atkins at Washington Monthly:

Treasury Secretary Scott Bessent recently appeared on Tucker Carlson’s show and said the quiet part out loud: “The president is reordering trade… we are shedding excess labor in the federal government… that will give us the labor we need for the new manufacturing.”  At any other time, that kind of language would set off alarm bells across the political spectrum. Are laid-off NIH cancer researchers really going to find jobs in the iPhone factories that are being relocated to America? But today, it barely registers on the MAGA meter.   To be clear, Trump himself remains motivated by the same half-baked economic ideas he’s always had: a fixation on trade deficits, rooted in the zero-sum notion that if we buy more from a country than we sell to them, we’re being “ripped off.” He’s been told repeatedly that trade deficits aren’t inherently bad. He doesn’t care. The misunderstanding is the point. And he’ll drag the global economy into a ditch rather than learn how it works. 

But those around him—the far-right think tanks and political operatives shaping this agenda—are playing a longer, darker game. Trump’s tariffs aren’t just bad economics. They’re a declaration of economic war on the half of America that didn’t vote for him. This is deliberate and strategic. It’s a cultural counter-revolution disguised as industrial policy. And we know it’s not about economic leverage because Trump isn’t even pretending these tariffs are a negotiating tactic—he intends to make them permanent.  As I said last month, the project is about deskilling America: reducing white-collar work through AI and remote job cuts, destroying universities, starving higher education, using tariffs to wall off the country as a manufacturing-and-extraction island, gutting the cities, and pushing men into manual labor while nudging women into domestic roles. It’s not incoherent—it’s a plan being implemented methodically. 

This isn’t about economic efficiency. It’s about political control. Education has always been a democratizing force. It creates citizens who are harder to intimidate, likely to demand fair treatment, and  less willing to obey autocrats. It delays childbirth, disrupts patriarchal family structures, and builds civic coalitions that threaten right-wing hegemony. That’s why it’s under attack. The goal isn’t to elevate the dignity of manual work—it’s to eliminate choice, to collapse the pathways that allow people to escape precarity and assert autonomy. 

A key pillar of this reactionary movement is masculinity politics—an obsession with control over women and the restoration of a pre-modern vision of gender roles. Right-wing pundits are now proudly declaring that Trump’s tariffs will “end the masculinity crisis.” Fox News chyrons bluster that his “manly” economic policies will “make you more of a man.” The idea is that factory jobs and closed borders will somehow restore a lost sense of masculine authority that was never actually economic but cultural and social.  

Much of the MAGA worldview is built on the grievances of conservative men: angry that women increasingly don’t want to date them, that younger generations are abandoning the religion that once gave them automatic status, that they are no longer guaranteed a high-paying job out of high school without having to compete with the “nerds” in their class—or with immigrants, or with workers of color overseas. Trump’s tariffs are imagined as a cure-all: destroy the livelihoods of the educated men they resent, displace women from the professional fields where they thrive, and reassert dominance over a labor force they believe was rightfully theirs.  That’s what’s behind the economic shock therapy now underway. It’s similar to the disaster economics that the U.S. used in Chile and post-Soviet Russia, and Javier Milei is inflicting on Argentina today. But it’s inflected with the fervor of a Cultural Revolution—ironically more reminiscent of Mao than Pinochet with its war on intellectuals and its bestowing glory on farms and factories. The goal is to destroy the professions that make resistance possible—this is why you start with law firms instead of HMOs—then tighten the screws once people are desperate enough to submit. When the unrest comes—and it always does—so do crackdowns. 

The Trump Tariff Tax Hike policy also has a cultural component: drive women out of the workforce and reassert male dominance.

[malwaredykes]

cuz once again we have some distinctions going on wrt robots/AI in the fallout universe:

1. securitrons, mr handies, robo brains (?) etc as basically task-specialized chat-gpt inside a metal chassis, capable of processing speech and some level of communication and learning but ultimately lackig a consciousness

2. AI like yes man, whose self-awareness as i understand it wasnt fully appreciated by his creators, and whom ultimately you get to treat as like, a person who happens to have some specific circumstances going on in that he gets to live inside a computer and has some limitations to what he can say to you directly that he nonetheless tries to work around in terms of communication. like yeah he cant really say no to you which absolutely DOES have implications and colors your dynamic, and the game reckons with that, you do have to keep that in mind and its up to you how you feel about that and whether its something youre ready to accept in order to pursue your goal. theres also muggy, who unlike the other AIs in the sink clearly has a consciousness and a free will that clashes with his programming, who IS a comedic character but whose existence absolutely does say something about his creator

3. ZAX (and thus also president eden? i dont remember much about him so i cant make a full assessment here), complex conscious sapient AI with free will and self-awareness--and this generally is acknowledged and not put into question

4. fo4 mr handies like codsworth, who have free will, self-awareness, consciousness, who get to be house servants and unpaid dehumanized factory workers and so on and so forth, and are often regarded by people as Fellow Inhabitants, But Worse And With No Agency And Made To Serve, and one has to think about the cruel implications of purposely putting a self-aware consciousness into a Worker Robot presumably so they can be more efficient and versatile and require less supervision

5. synths who are literally just unambiguously people so whats the big idea, unless youre a scumbag of course you dont want them to suffer. meant to be a clunky metaphor but taken at face value its just another instance of like. oppression. irl its always nonsensical at its core and socially constructed innit

you know? so like. we are dealing with different stuff here. and the implications of some going completely unaddressed just baffles me

[carpisuns]

the most hurtful thing about the rise of AI art, to me, is that the importance of lived human experience is up for debate.

you could say a lot about the ethical implications of it all and how it negatively impacts actual artists—how their work is being stolen and fed to bots without their permission, how they are losing ownership of their own artistic expression, how they're are losing their jobs because AI can "replace" them. but people will always find a way to talk their way around it. "if they didn't want people to use their art, they shouldn't be posting it online." "you can't own an artistic style." "the generated art piece is not actually their art. it's not stealing." and the real clincher: "i don't know what to tell you. that's just progress."

i feel like so many people see this issue through the lens of charlie bucket's dad getting fired from the toothpaste factory because a machine could place a cap on the tube more efficiently. but making art is not the same as screwing a cap onto a tube of toothpaste. it's emotional. it's meaningful. it's expressive. the end result is informed by the experiences and choices of the creator. and the viewer's experience is different knowing that a human is behind those choices—that there was real choice involved at all.

you could argue that AI art retains the inherent humanity of art, because it uses samples of real art made by real people—a whole collective pool of representative humanity. but it's not really the same. it's just an echo. an illusion. a mimic of life without the spark that actually makes it alive.

when i look at art, i want to think about the human behind it. i want to feel connected to them. i want to ponder their choices and notice their details and appreciate their skills. i want to look at it and feel something, because the artist felt something when they made it.

sometimes i see a cool piece of art and get excited. but when i realize it's AI, the emotion is gone. "what's the difference?" someone might ask. "if you liked it before, why don't you like it knowing it's AI? the image didn't change. it's still the same." and sure, visually it's the same. but emotionally it's not. i can't make a connection with it anymore. because there was no real intention behind it. i can't search for meaning in it, because there is none. when i look at AI art, even visually impressive art, i feel nothing. there's no wonder. there's no connection. the only possible feeling for me is, "wow, technology has come so far! neat."

it doesn't even have the appeal of "art" created by nature, like the Grand Canyon or the ocean or the night sky. those create a sense of wonder because there was no human involvement at all. the beauty came from the universe itself, and it feels like a gift from nothing and everything at once, and it's that beauty that so often inspires humans to make something in its likeness.

but AI art feels like a weird in-between of the art made with no hands and the art made with human hands. like pseudo-clay molded with empty gloves. it's sort of uncanny valley–ish. something almost human but not quite, so it always feels a little off. with human-made art, mistakes are understandable, expected, even endearing—a reminder that a person made this, and people are not perfect. but that weird offness of AI art just feels wrong. like a glitch in a simulation, reminding you that what you see was never real.

but really, even if AI was always completely indistinguishable from human-made art, the viewing experience would still be fundamentally changed. we make art to connect with each other, to see and be seen, to speak and to listen. but when i look at AI art, i don't know how to listen for a song. all i hear is the whir of cogs in a machine.

some people might point out that we're all just machines too. that AI's 1s and 0s are really no different from the synapses firing in our brains, and we draw inspiration from everything around us the same way AI draws from the samples in its generation bank. it's different to me, though. maybe i just feel this way because i myself am a creator, and i want to feel like i have something special to offer. but i have to believe there is meaning in the choices and expression of humans that there isn't in the choices of a program.

i'm sure this is just doomsday talk and it wouldn't actually happen, but the idea of AI eventually being handed the primary "creative" role over human beings is frankly devastating, even terrifying. i don't want to live in a world where all the art around me was generated automatically from a prompt and spat out onto a conveyer belt. it would be an inexpressible loss to me.

this isn't to say that AI doesn't have a place at all, or that we should abandon our exploration of technological advancement. i just hope that as this issue gets bigger, we remember the real point of art. when we are sad or lonely or angry, all of us turn to art. whether it's visual art or music or film or writing, art tells a story. we take comfort from the stories we tell each other, and it means something that those stories come from other people. art is and will always be a bridge between us and the rest of humankind.

so while our technology continues to develop, i hope we guard that bridge. I hope we protect the creative space of artists who want to tell stories. i hope we keep the demand for emotional expression high. i hope we honor the humanity of human-made art. if AI art is a truly reflection of us, i hope we keep looking toward the figure that cast the reflection, keep seeking the voice that started the echo.

[sageofsunbloom]

Is AI fr gonna steal our jobs?

Disclaimer: This post is mostly speculative and meant to encourage discussion and different perspectives on the topic.

Some time ago, I along with many others thought that AI was mostly going to aid in all the task centered, administrative, repetitive jobs. Cashiers, factory workers, call center workers, all the jobs that would benefit from automation were being taken over by AI.

When the ghibli trend came around, it was a guttural shock to many artists.

What used to generate questionable and bad looking art has now developed and is transitioning to generating high quality pieces, videos, music, animation and what not. In a matter of mere months. [AI tools example: midjourney, DALL-E, ChatGPT]

Art is not simply something pretty to look at. It is the accumulation of experiences, emotions and essense of humans. Art is their unique expression and the lens with which they see the world.

This blog is not an argument against the use of AI for art, but a call to understand what it really means.

Did most people see it coming when AI mimicked it with precision?

How long before it starts mimicking creativity, intuition, emotion and depth, all of what we thought was deeply and uniquely human?

"AI works by learning from lots of information, recognizing patterns, and using that knowledge to make decisions or do tasks like a human would." - Chatgpt.

Some time ago, the dominant argument was that AI might be able copy the strokes of a painting, the words of a novel. But it cannot hold the hands of another human and tell them all was well, it cannot feel and experience the real world like us, it cannot connect with humans and it cant innovate and envision new solutions.

If you still believe this, I urge you to go to chatgpt right now and open up to it like it was your friend. It will provide consolidation and advice tailored so well to your individual behaviours that it might feel better than talking to your bestfriend.

What is a deep neurological, experience based and emotional reaction to us is simply just analysis and application of data and patterns to AI. And the difference? Not easily distinguishable to the average human.

As long as the end result is not compromised, it doesnt matter to client and employers whether the process was human or not. Efficiency is often prioritized above substance. And now even substance is being mimicked.

Currently, the prominent discussion online is that in order to improve your job security, we need to master AI tools. Instead of fighting for stability(which is nothing but an illusion now) we need to ride the waves of the new age flooding towards us, and work with Ai instead of fighting against the change.

But the paradox is, the more we use AI the quicker it will learn from us, the quicker it will reduce the need for human guidance and supervision, and the quicker it will replace us.

Times are moving fast. We need everyone to be aware of the rate at which the world is changing and the things that are going on beneath the surface. If we simply take information at face value and avoid research, give it a few years or even months of time, and noone will know what hit us.

"Use of generative AI increased from 33% in 2023 to 71% in 2024. Use of AI by business function for the latest data varied from 36% in IT to 12% in manufacturing. Use of gen AI by business function for the latest data varied from 42% in marketing and sales to 5% in manufacturing."-Mckinsey, Mar 12, 2025.

By 2030, 14% of employees will have been forced to change their career because of- AI-McKinsey.

Since 2000, automation has resulted in 1.7 million manufacturing jobs being lost -BuiltIn

There is a radical change taking momentum right now. It's gonna be humans vs AI starting from the job aspect of the world.

Its not a matter of which jobs and skills are AI proof but which ones is AI likely to take over last.

What I predict personally, is that soon the world leaders are going to have to make a transformative choice.

This can either lead to a world where humans can be provided with money and resources instead of working to earn, as AI generates profit, and we can lay back and enjoy the things we love doing.

Or the other option is that we are going to have to live by scraps as small elite groups take over all the resources and tech.

Dystopia or utopia? The line is blurred.

Thankfully, for now, the choice is in human hands.

[eliluminado7]

im writing my broad opinion on AI art now that im on an autistic tangent about it. im kinda cooked from yesterday so sorry if i dont make much sense

my issue with (serious) A‎I art is not because of moral or ethical implications arising from the technology itself, but rather from the general userbase itself. like i believe most of us can fucking tell if something's ai generated when we see it right. Bear in mind i said serious AI art. you know i love a good sei‎nfel‎d screenshot of je‎rry and kra‎mer going into the void or geo‎rge dressed as a coss‎ack

anyways generally speaking the kind of people generating those serious illustrations are all either 1. recycled nftbros 2. porn freaks or 3. children. And im gonna be real i do not like that kind of AI art even if its just a harmless illustration of a pokemon or whatever. to me it feels like those ppl are either kids who i Do Not Think should be on the net, or basement dwelling deviantart incels who are like 'Computer generate se‎xy gard‎evoir vo‎re infla‎tion fe‎et pics'. the kind of people who wouldve had no problem stealing others' art. just sayin.

well actually theres a fourth category and those are companies and public institutions that use AI art (often as some sort of money laundering scheme, if i may add) and those are the ones ACTUALLY hurting artists because You See you could be actually hiring someone instead of using fucking midjourney or bing. this is a very common practice here in spain even if it ends up looking like literal shit, see:

also theres this yearly art contest in either val‎encia or cata‎lunya where ppl submit illustrations of snails and this year's winner was a very blatantly AI generated pic created by some turkish individual who is rumored to not even exist. its a rabbit hole but looking up bedhiran akagündüz (or, likewise, rubén lucas garcía) should set you on the right track

Now let me be clear: i vehemently hate anti-ai luddites and picrew fandomites and ive always been very vocal about this. and quite frankly im tired of the moral panic steeming from anything AI-generated as if it was the antichrist!!!!! you all just sound reactionary as fuck. AI art is certainly not stealing from you and the only exceptions to this rule are very very very blatant copies, and you almost never see those unless were talking about nft-adjacent ponzi scheme websites. would you consider collages theft? music samples? AI just draws "inspiration" (for lack of a better word) from the illustrations that it is fed because its like a tabula rasa and it needs knowledge, just like us human beings are inspired by other people's artstyles. the end product is something that doesnt even look similar to the data it is fed because it is an amalgamation of different styles that create something unique. is that theft? be for fucking real

this stupid myth about the brutal energy consumption of AI art generation as well as the whole ‘did you know that every time you generate one picture youre wasting an entire bottle of water????’ argument... im sorry to say none of that is true. ai isn't even the most water-intensive sector if we're comparing it with other industrial sectors like petroleum/coal factories or wineries or paperboard mills. training datasets IS resource-intensive but its normally a one-time process, inference (which is what you use daily) is not any less efficient than looking something up on google for example:

this whole 'carbon footprint' bullshit that has been sold to us is just a tactic to divert attention from the actual polluters which are corporations like coca-cola or exxon or bp. You know this you get your praxis from this website.

regarding the whole 'AI is theft' argument, im just going to share these tags that someone left in another post i made:

like a clear example of anti-ai panic actively hurting artists is the backlash that oka‎me-p, a voc‎aloid artist, got for using AI generated illustrations as the ACCOMPANIMENT for his songs:

and to be honest this is a huge problem regarding western voc‎afans who often have the emotional maturity of a peanut. youre so so so hellbent on demonizing others just for using a technology that is widely available to everyone, that youre willing to throw them under the bus and delegitimize everything they do just because it hurts your feelings well im not going to fucking stay quiet about that

who do you think youre talking to you stupid fucking bitch. god this person makes me so mad.

Anyways my point is: ai is like acupuncture; just like the latter can be used to treat or alleviate different ailments but it cant completely treat cancer like modern medicine would; AI can be complimentary, but it can NEVER replace actual labor. its merely a worktool! its merely meant to automatize daily tasks!!! its not your enemy i promise. Ok im tired of writing goo buh buh

[hypocrite-human]

AI & IT'S IMPACT

Unleashing the Power: The Impact of AI Across Industries and Future Frontiers

Artificial Intelligence (AI), once confined to the realm of science fiction, has rapidly become a transformative force across diverse industries. Its influence is reshaping the landscape of how businesses operate, innovate, and interact with their stakeholders. As we navigate the current impact of AI and peer into the future, it's evident that the capabilities of this technology are poised to reach unprecedented heights.

1. Healthcare:

In the healthcare sector, AI is a game-changer, revolutionizing diagnostics, treatment plans, and patient care. Machine learning algorithms analyze vast datasets to identify patterns, aiding in early disease detection. AI-driven robotic surgery is enhancing precision, reducing recovery times, and minimizing risks. Personalized medicine, powered by AI, tailors treatments based on an individual's genetic makeup, optimizing therapeutic outcomes.

2. Finance:

AI is reshaping the financial industry by enhancing efficiency, risk management, and customer experiences. Algorithms analyze market trends, enabling quicker and more accurate investment decisions. Chatbots and virtual assistants powered by AI streamline customer interactions, providing real-time assistance. Fraud detection algorithms work tirelessly to identify suspicious activities, bolstering security measures in online transactions.

3. Manufacturing:

In manufacturing, AI is optimizing production processes through predictive maintenance and quality control. Smart factories leverage AI to monitor equipment health, reducing downtime by predicting potential failures. Robots and autonomous systems, guided by AI, enhance precision and efficiency in tasks ranging from assembly lines to logistics. This not only increases productivity but also contributes to safer working environments.

4. Education:

AI is reshaping the educational landscape by personalizing learning experiences. Adaptive learning platforms use AI algorithms to tailor educational content to individual student needs, fostering better comprehension and engagement. AI-driven tools also assist educators in grading, administrative tasks, and provide insights into student performance, allowing for more effective teaching strategies.

5. Retail:

In the retail sector, AI is transforming customer experiences through personalized recommendations and efficient supply chain management. Recommendation engines analyze customer preferences, providing targeted product suggestions. AI-powered chatbots handle customer queries, offering real-time assistance. Inventory management is optimized through predictive analytics, reducing waste and ensuring products are readily available.

6. Future Frontiers:

A. Autonomous Vehicles: The future of transportation lies in AI-driven autonomous vehicles. From self-driving cars to automated drones, AI algorithms navigate and respond to dynamic environments, ensuring safer and more efficient transportation. This technology holds the promise of reducing accidents, alleviating traffic congestion, and redefining mobility.

B. Quantum Computing: As AI algorithms become more complex, the need for advanced computing capabilities grows. Quantucm omputing, with its ability to process vast amounts of data at unprecedented speeds, holds the potential to revolutionize AI. This synergy could unlock new possibilities in solving complex problems, ranging from drug discovery to climate modeling.

C. AI in Creativity: AI is not limited to data-driven tasks; it's also making inroads into the realm of creativity. AI-generated art, music, and content are gaining recognition. Future developments may see AI collaborating with human creators, pushing the boundaries of what is possible in fields traditionally associated with human ingenuity.

In conclusion, the impact of AI across industries is profound and multifaceted. From enhancing efficiency and precision to revolutionizing how we approach complex challenges, AI is at the forefront of innovation. The future capabilities of AI hold the promise of even greater advancements, ushering in an era where the boundaries of what is achievable continue to expand. As businesses and industries continue to embrace and adapt to these transformative technologies, the synergy between human intelligence and artificial intelligence will undoubtedly shape a future defined by unprecedented possibilities.

[digitaldetoxworld]

How 5g Technology Change The World

The world is getting ready to a technological revolution, and on the coronary heart of this alteration is 5G era. As the 5th generation of mobile networks, 5G guarantees extremely-speedy speeds, low latency, and extraordinary connectivity. This advancement is ready to reshape industries, improve every day existence, and create new opportunities across more than one sectors. From healthcare and transportation to entertainment and clever towns, 5G isn't always simply an upgrade; it's miles a catalyst for a brand new virtual generation.

what is 5g and how it works 

The Fundamentals of 5G Technology

5G era is designed to provide extensively faster information speeds than its predecessor, 4G LTE. It operates on three special spectrum bands:

Low-band spectrum – Provides broad coverage however with highly slower speeds.

Mid-band spectrum – Offers a balance between pace and insurance.

High-band spectrum (millimeter-wave) – Delivers extremely fast speeds but has confined range.

With information speeds attaining up to 10 Gbps, 5G networks will enable seamless connectivity, permitting gadgets to communicate in actual-time with minimum delay (latency as little as one millisecond). This bounce in community functionality will pave the manner for improvements that had been previously impossible.

Transforming Industries

1. Healthcare

5G technology is revolutionizing the healthcare industry through allowing faraway surgical procedures, telemedicine, and real-time affected person tracking. With ultra-low latency and high-speed connectivity, surgeons can perform robotic surgical procedures from different elements of the world, expanding get admission to to existence-saving techniques. Additionally, 5G allows for stepped forward records transfer between clinical devices, ensuring timely prognosis and higher affected person care.

2. Smart Cities and Infrastructure

5G is a key aspect inside the improvement of smart towns. By connecting billions of gadgets through the Internet of Things (IoT), 5G lets in for efficient visitors management, smart lighting, and waste management structures. Autonomous motors will gain from actual-time verbal exchange with traffic indicators and different cars, reducing injuries and improving traffic waft. Cities will become more sustainable, energy-green, and safer for citizens.

Three. Manufacturing and Automation

The manufacturing quarter is undergoing a transformation with the appearance of 5G. Smart factories prepared with AI-powered robots and IoT gadgets will operate with minimum human intervention. Predictive renovation powered by means of real-time records will reduce downtime and decorate productiveness. Augmented fact (AR) and virtual reality (VR) packages will streamline employee education and improve efficiency on manufacturing unit flooring.

4. Entertainment and Media

The enjoyment industry is also experiencing a shift with 5G generation. High-definition streaming, cloud gaming, and immersive AR/VR reviews becomes the norm. With minimal buffering and high-speed connectivity, customers can enjoy seamless content intake. Additionally, 5G allows real-time interaction in stay events and esports, offering a more engaging experience for audiences worldwide.

5. Education and Remote Work

5G is gambling a crucial function inside the evolution of schooling and far off work. Virtual lecture rooms, interactive gaining knowledge of modules, and terrific video conferencing are becoming greater accessible. Students in faraway regions can advantage from advanced internet connectivity, bridging the virtual divide. Businesses, however, can put into effect flexible paintings models with uninterrupted video calls and faster cloud get entry to, boosting productivity and performance.

The Impact of 5G on Everyday Life

Beyond industries, 5G will significantly enhance normal reviews. Smart houses prepared with 5G-enabled IoT devices will provide better safety, energy management, and comfort. Personal assistants, consisting of AI-powered voice assistants, will become extra responsive and intuitive. Augmented fact packages will remodel purchasing experiences with the aid of allowing consumers to visualise products earlier than buying.

Moreover, the gaming industry will see a shift in the direction of cloud gaming platforms, wherein high-cease gaming reports are handy with out the need for steeply-priced hardware. With decreased latency, multiplayer gaming will become smoother, allowing gamers to compete in real time with minimal disruptions.

Challenges and Concerns

While the advantages of 5G are plain, there also are demanding situations that need to be addressed. Some of the key concerns consist of:

Infrastructure Development – The deployment of 5G calls for a big funding in new infrastructure, including small cell towers and fiber-optic networks.

Security and Privacy – With accelerated connectivity comes the hazard of cyber threats. Ensuring sturdy safety features is essential to shield user statistics and prevent cyberattacks.

Health Concerns – There have been debates regarding the capability fitness risks associated with 5G radiation. However, clinical research have now not observed conclusive proof linking 5G to health troubles.

Digital Divide – While urban areas may enjoy fast 5G adoption, rural and underserved areas may additionally face delays in deployment, probably widening the virtual divide.

The Future of 5G

The destiny of 5G era seems promising as countries and agencies continue to invest in its improvement. With advancements in artificial intelligence, side computing, and quantum computing, 5G will release even more opportunities. The transition to 6G in the coming years will in addition push the limits of connectivity, making futuristic concepts consisting of holographic verbal exchange and brain-computer interfaces a fact.

Affordable smartphones with best camera reviews

[rubylogan15]

Discover how generative AI solves manufacturing challenges: predictive maintenance, optimized design, quality control, and supply chain efficiency. Innovate your production today!

[memecucker]

Also I’ve been playing the Victoria 1.5 patch open beta and I’ve been really liking most of the changes. There’s still lots of broken or silly stuff but it’s an open beta so it’s fine (like they finally allow you to make offers to the AI to join their wars but they’ve made the AI way too open to that especially for minor wars like when I played China I was able to get all of British East Africa and the Congo by just joining them against all their small colonial uprisings which is also kinda ironic but anyway)

Biggest change is the introduction of local prices to provinces (well “states” but I’m just annoyed by V3 using “state” for your subnational divisions considering how “state” is used in so many other ways for this 19th century politics game) and I really like it and think it really improves the gameplay and makes it more interesting if you’re into Factorio style supply chain and economic management. Previously you could stick factories wherever you wanted and the only concern was infrastructure and available population which meant late game the “correct” play (or at least the one the AI would do a lot) would be to stick 30 stack food industries in like the middle of the Sahara bc thats where you got plenty of room. Oftentimes your steel industry would be far away from your mines since both are infrastructure taxing. But local prices change that and push you towards wanting to vertically integrate industries in the same area. So where before you could mine your iron and coal in Pennsylvania and have the steel plants all be in like Missouri it’s how much much much more efficient to put the steel in Pennsylvania bc the local prices for its inputs will be lower whereas in Missouri they’ll be inflated due to the lack of local sell orders. This also means that you’ll want to build other heavy industry in the areas where steel is sold so now tooling and machine factories will be built there etc

It actually adds a lot of depth and replayability bc now country choice means a lot more than just the sum of resources but how they’re arranged. Like Japan was kinda nerfed with this change bc while there’s several good iron deposits and one good coal deposit in Kyushu you don’t have anything that has both other than Hokkaido which has a very low population (and takes forever to build up to a decent amount) and isn’t fully colonized yet and takes absolutely forever to get going. I like this bc it helps represent Japan being “metal poor” bc it’s harder to have a good steel industry while still giving ahistorically generous iron deposits just bc gameplay wise you need those.

However someone who does have several good iron+coal states is Korea meaning that as Japan you have a much stronger economic incentive to engage in imperialism than you previously did where Korea wasn’t even a good target bc everything they made you already made but now since the combo of coal and iron is so important for industrializing they (as well as all the stuff in Manchuria) are much more attractive targets for someone that want to make Japan a great power.

[govindhtech]

What Is Generative Physical AI? Why It Is Important?

What is Physical AI?

Autonomous robots can see, comprehend, and carry out intricate tasks in the actual (physical) environment with to physical artificial intelligence. Because of its capacity to produce ideas and actions to carry out, it is also sometimes referred to as “Generative physical AI.”

How Does Physical AI Work?

Models of generative AI Massive volumes of text and picture data, mostly from the Internet, are used to train huge language models like GPT and Llama. Although these AIs are very good at creating human language and abstract ideas, their understanding of the physical world and its laws is still somewhat restricted.

Current generative AI is expanded by Generative physical AI, which comprehends the spatial linkages and physical behavior of the three-dimensional environment in which the all inhabit. During the AI training process, this is accomplished by supplying extra data that includes details about the spatial connections and physical laws of the actual world.

Highly realistic computer simulations are used to create the 3D training data, which doubles as an AI training ground and data source.

A digital doppelganger of a location, such a factory, is the first step in physically-based data creation. Sensors and self-governing devices, such as robots, are introduced into this virtual environment. The sensors record different interactions, such as rigid body dynamics like movement and collisions or how light interacts in an environment, and simulations that replicate real-world situations are run.

What Function Does Reinforcement Learning Serve in Physical AI?

Reinforcement learning trains autonomous robots to perform in the real world by teaching them skills in a simulated environment. Through hundreds or even millions of trial-and-error, it enables self-governing robots to acquire abilities in a safe and efficient manner.

By rewarding a physical AI model for doing desirable activities in the simulation, this learning approach helps the model continually adapt and become better. Autonomous robots gradually learn to respond correctly to novel circumstances and unanticipated obstacles via repeated reinforcement learning, readying them for real-world operations.

An autonomous machine may eventually acquire complex fine motor abilities required for practical tasks like packing boxes neatly, assisting in the construction of automobiles, or independently navigating settings.

Why is Physical AI Important?

Autonomous robots used to be unable to detect and comprehend their surroundings. However, Generative physical AI enables the construction and training of robots that can naturally interact with and adapt to their real-world environment.

Teams require strong, physics-based simulations that provide a secure, regulated setting for training autonomous machines in order to develop physical AI. This improves accessibility and utility in real-world applications by facilitating more natural interactions between people and machines, in addition to increasing the efficiency and accuracy of robots in carrying out complicated tasks.

Every business will undergo a transformation as Generative physical AI opens up new possibilities. For instance:

Robots: With physical AI, robots show notable improvements in their operating skills in a range of environments.

Using direct input from onboard sensors, autonomous mobile robots (AMRs) in warehouses are able to traverse complicated settings and avoid impediments, including people.

Depending on how an item is positioned on a conveyor belt, manipulators may modify their grabbing position and strength, demonstrating both fine and gross motor abilities according to the object type.

This method helps surgical robots learn complex activities like stitching and threading needles, demonstrating the accuracy and versatility of Generative physical AI in teaching robots for particular tasks.

Autonomous Vehicles (AVs): AVs can make wise judgments in a variety of settings, from wide highways to metropolitan cityscapes, by using sensors to sense and comprehend their environment. By exposing AVs to physical AI, they may better identify people, react to traffic or weather, and change lanes on their own, efficiently adjusting to a variety of unforeseen situations.

Smart Spaces: Large interior areas like factories and warehouses, where everyday operations include a constant flow of people, cars, and robots, are becoming safer and more functional with to physical artificial intelligence. By monitoring several things and actions inside these areas, teams may improve dynamic route planning and maximize operational efficiency with the use of fixed cameras and sophisticated computer vision models. Additionally, they effectively see and comprehend large-scale, complicated settings, putting human safety first.

How Can You Get Started With Physical AI?

Using Generative physical AI to create the next generation of autonomous devices requires a coordinated effort from many specialized computers:

Construct a virtual 3D environment: A high-fidelity, physically based virtual environment is needed to reflect the actual world and provide synthetic data essential for training physical AI. In order to create these 3D worlds, developers can simply include RTX rendering and Universal Scene Description (OpenUSD) into their current software tools and simulation processes using the NVIDIA Omniverse platform of APIs, SDKs, and services.

NVIDIA OVX systems support this environment: Large-scale sceneries or data that are required for simulation or model training are also captured in this stage. fVDB, an extension of PyTorch that enables deep learning operations on large-scale 3D data, is a significant technical advancement that has made it possible for effective AI model training and inference with rich 3D datasets. It effectively represents features.

Create synthetic data: Custom synthetic data generation (SDG) pipelines may be constructed using the Omniverse Replicator SDK. Domain randomization is one of Replicator’s built-in features that lets you change a lot of the physical aspects of a 3D simulation, including lighting, position, size, texture, materials, and much more. The resulting pictures may also be further enhanced by using diffusion models with ControlNet.

Train and validate: In addition to pretrained computer vision models available on NVIDIA NGC, the NVIDIA DGX platform, a fully integrated hardware and software AI platform, may be utilized with physically based data to train or fine-tune AI models using frameworks like TensorFlow, PyTorch, or NVIDIA TAO. After training, reference apps such as NVIDIA Isaac Sim may be used to test the model and its software stack in simulation. Additionally, developers may use open-source frameworks like Isaac Lab to use reinforcement learning to improve the robot’s abilities.

In order to power a physical autonomous machine, such a humanoid robot or industrial automation system, the optimized stack may now be installed on the NVIDIA Jetson Orin and, eventually, the next-generation Jetson Thor robotics supercomputer.

Read more on govindhtech.com

[theskyexists]

I think possibly this website is a bit in a bubble on the AI topic... It was interesting to learn that a friend of mine is genuinely concerned about jobs becoming obsolete in IT but also production because of AI and that robots are now able to do very detailed, softhand work like pick tomatoes. That last thing really is a huge limitation for automation in greenhouses over here. I do think that... There is going to be a bit of a crunch - that is to say, generating code does weed out the banging out basic shit people. Except it still needs to be read and adjusted and tested extensively. So they're never getting rid of most coding specialists. So I think he's also in a bit of a bubble (he called it the reinvention of the wheel...) My prediction is that the investment bubble is going to partly collapse because most startups and companies can't sell AI or sell useful AI. But I do think some big tech companies offers' are going to replace (very) low-level graphic work, writing work and coding. And yes, make it available to more people who otherwise would never have paid for it. It'll make live transcription and translation even more feasible. I think robotic applications are going to be developed, which might replace people in factories and agriculture. Only if they manage to continue to offer low prices however. (And then predatorily lock in the market). If the development of detailed factory robotics continues then we will see a further accumulation of the means of production into fewer hands - and that would be bad. Jobs in factories and warehouses would be eliminated except technical supervision, and that increased efficiency is not going to create wealth that'll pass to most of the population. I'm not sure if the field is developed enough however... And investors are getting impatient. Maybe softhand applications like picking fruit and vegetables, but sewing remains unlikely in my opinion. I think neural network 'AI' will continue to be developed by those who have capital to burn, but its unpredictability and inconsistency is a hurdle. And of course it won't do shit if the climate crisis wipes out our civilisation.

[cosmicjoke]

kind of off the topic of your blog but you are politically active and i wonder what are ypur thoughts on the AI

i think the most concerning use of it is people using it to generate nudes etc

the whole taylor swift drama yk

also som time ago a girl killed herself because of AI generated nudes of her (poor girl)

AI also just kills art and it saddens me so much when i see people using it because it will never be as good and as full of feeling like real art

Hi there, and thank you for the interesting ask!

Yeah, AI is such a bizarre development in the art world. It's interesting, because I've always been a huge proponent of hand-drawn animation, and the take over in the animation industry of CGI always upset me. Not that CGI and AI are the same thing, because obviously it requires immense amounts of artistic skill to produce CGI animation, and I really love a lot of CGI animation too. I just wish there was more of a balance of the two co-existing, rather than watching hand-drawn animation slowly but surely dying out. But I feel like there's a relation there, to the world of art going away from genuine skill to something more assisted and artificial. It's kind of similar to how artisans used to be considered essential, but have been relegated to almost a novelty because of the advent of mass-production. People who are skilled tailors or seamstresses have long been struggling because you can just go out and buy factory produced clothing now for much cheaper. Furniture makers, wood craftsmen, etc... can't compete with mass produced furniture that's made in factories, etc... And in animation, cell animation and the time and energy and cost of it can't compete with CGI animation in terms of efficiency and speed. All of it, of course, comes down to profit, like so many shitty things in this world. When they say money makes the world go round, it's a cliche, but cliche's are cliche's because they're true.

So AI to me seems like a natural extension of that fact. It's about money, and it sucks. A machine can never capture the human emotion that a true piece of art conveys. It doesn't matter how detailed or realistic or perfect it is. An AI generated portrait will never capture the humanity you would find in a painting by Rembrandt, for example, or a painting by Monet. Hell, photographs themselves can't typically capture the emotion you find in paintings by truly great artists. Going back to animation, there's just something about cell animation, in all its imperfection, that holds a certain personal humanity that CGI can't ever, really have. You can tell an actual, human hand produced it, as opposed to a computer, and it lends it a certain quality of life that I don't see in CGI.

I wouldn't be surprised if we end up getting some AI produced "reconstruction" of unfinished works by great composers. Beethoven famously was never able to finish his 10th symphony, and other composers have attempted to "imagine" what he might have done themselves (an already impossible task), so I wouldn't be surprised if you get someone feeding what few sketches he produced into an AI program to "finish" the symphony. But see, it would all be based off of mathematical equations and probability, and with absolute certainty I can say it would never come close to what Beethoven was actually thinking. Because human emotion and creativity isn't based on logic or numbers.

Anyway, yeah. It's a natural development of greed, really. Wanting to produce more for less and so make more money. That really is at the root of so many of the world's problems. And it of course extends out to other issues, like you pointed out. Violations of people's privacy, the ruination of people's reputations through generating false images of them, etc, etc... It can become incredibly sadistic and malignant.

I really don't know where it's headed. I hope it doesn't end up being like the examples I listed above, with it replacing real art. But that's everyone's great and legitimate fear. So many people put money over everything else.

[plumber-piedmont-ok-plumbing-rpr]

Indeed, plumbing has evolved significantly, especially in the commercial industry, thanks to the integration of AI, machine learning, and predictive analytics. These technologies have brought about several advancements and complexities in plumbing systems and operations:

Predictive Maintenance: AI and machine learning can analyze historical data and real-time information from plumbing systems to predict when maintenance or repairs are needed. This predictive approach reduces downtime and costly emergency repairs.

Smart Sensors: IoT (Internet of Things) devices and sensors can be embedded in plumbing systems to monitor various parameters, such as water pressure, temperature, and flow rates. This data can be processed by AI systems to detect leaks or other issues in real-time.

Energy Efficiency: AI-driven systems can optimize water usage and heating in commercial buildings, reducing energy consumption and costs. They can adjust water temperatures and flow rates based on usage patterns and weather conditions.

Water Quality Monitoring: AI and machine learning can continuously monitor water quality and detect contaminants, ensuring that water in commercial facilities is safe for consumption and use.

Leak Detection: AI can identify small leaks and potential problems early, preventing major water damage and reducing water wastage.

Remote Monitoring and Control: Building managers and maintenance personnel can remotely monitor and control plumbing systems through AI-powered interfaces, allowing for quick responses to issues.

Demand Forecasting: Predictive analytics can help businesses anticipate their water and plumbing system usage, allowing for efficient resource allocation and cost savings.

Customized Solutions: AI and machine learning can tailor plumbing systems to specific commercial needs. For instance, restaurants, hotels, and factories may have different plumbing requirements, which AI can adapt to accordingly.

Data-Driven Decision Making: Plumbing systems generate vast amounts of data, which can be used to make informed decisions about maintenance, upgrades, and resource allocation.

Compliance and Regulations: AI can assist in monitoring and ensuring compliance with plumbing and environmental regulations, reducing the risk of fines and penalties.

While these technological advancements have made plumbing systems more efficient, cost-effective, and environmentally friendly, they also require specialized knowledge and expertise to implement and maintain. Additionally, cybersecurity becomes a crucial consideration to protect these systems from potential threats. As a result, the plumbing industry has seen an increased demand for professionals who are well-versed in both traditional plumbing skills and modern technology applications in plumbing systems.