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brillioitservices · 7 months ago

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The Generative AI Revolution: Transforming Industries with Brillio

The realm of artificial intelligence is experiencing a paradigm shift with the emergence of generative AI. Unlike traditional AI models focused on analyzing existing data, generative AI takes a leap forward by creating entirely new content. The generative ai technology unlocks a future brimming with possibilities across diverse industries. Let's read about the transformative power of generative AI in various sectors:

1. Healthcare Industry:

AI for Network Optimization: Generative AI can optimize healthcare networks by predicting patient flow, resource allocation, etc. This translates to streamlined operations, improved efficiency, and potentially reduced wait times.

Generative AI for Life Sciences & Pharma: Imagine accelerating drug discovery by generating new molecule structures with desired properties. Generative AI can analyze vast datasets to identify potential drug candidates, saving valuable time and resources in the pharmaceutical research and development process.

Patient Experience Redefined: Generative AI can personalize patient communication and education. Imagine chatbots that provide tailored guidance based on a patient's medical history or generate realistic simulations for medical training.

Future of AI in Healthcare: Generative AI has the potential to revolutionize disease diagnosis and treatment plans by creating synthetic patient data for anonymized medical research and personalized drug development based on individual genetic profiles.

2. Retail Industry:

Advanced Analytics with Generative AI: Retailers can leverage generative AI to analyze customer behavior and predict future trends. This allows for targeted marketing campaigns, optimized product placement based on customer preferences, and even the generation of personalized product recommendations.

AI Retail Merchandising: Imagine creating a virtual storefront that dynamically adjusts based on customer demographics and real-time buying patterns. Generative AI can optimize product assortments, recommend complementary items, and predict optimal pricing strategies.

Demystifying Customer Experience: Generative AI can analyze customer feedback and social media data to identify emerging trends and potential areas of improvement in the customer journey. This empowers retailers to take proactive steps to enhance customer satisfaction and loyalty.

3. Finance Industry:

Generative AI in Banking: Generative AI can streamline loan application processes by automatically generating personalized loan offers and risk assessments. This reduces processing time and improves customer service efficiency.

4. Technology Industry:

Generative AI for Software Testing: Imagine automating the creation of large-scale test datasets for various software functionalities. Generative AI can expedite the testing process, identify potential vulnerabilities more effectively, and contribute to faster software releases.

Generative AI for Hi-Tech: This technology can accelerate innovation in various high-tech fields by creating novel designs for microchips, materials, or even generating code snippets to enhance existing software functionalities.

Generative AI for Telecom: Generative AI can optimize network performance by predicting potential obstruction and generating data patterns to simulate network traffic scenarios. This allows telecom companies to proactively maintain and improve network efficiency.

5. Generative AI Beyond Industries:

GenAI Powered Search Engine: Imagine a search engine that understands context and intent, generating relevant and personalized results tailored to your specific needs. This eliminates the need to sift through mountains of irrelevant information, enhancing the overall search experience.

Product Engineering with Generative AI: Design teams can leverage generative AI to create new product prototypes, explore innovative design possibilities, and accelerate the product development cycle.

Machine Learning with Generative AI: Generative AI can be used to create synthetic training data for machine learning models, leading to improved accuracy and enhanced efficiency.

Global Data Studio with Generative AI: Imagine generating realistic and anonymized datasets for data analysis purposes. This empowers researchers, businesses, and organizations to unlock insights from data while preserving privacy.

6. Learning & Development with Generative AI:

L&D Shares with Generative AI: This technology can create realistic simulations and personalized training modules tailored to individual learning styles and skill gaps. Generative AI can personalize the learning experience, fostering deeper engagement and knowledge retention.

HFS Generative AI: Generative AI can be used to personalize learning experiences for employees in the human resources and financial services sector. This technology can create tailored training programs for onboarding, compliance training, and skill development.

7. Generative AI for AIOps:

AIOps (Artificial Intelligence for IT Operations) utilizes AI to automate and optimize IT infrastructure management. Generative AI can further enhance this process by predicting potential IT issues before they occur, generating synthetic data for simulating scenarios, and optimizing remediation strategies.

Conclusion:

The potential of generative AI is vast, with its applications continuously expanding across industries. As research and development progress, we can expect even more groundbreaking advancements that will reshape the way we live, work, and interact with technology.

Reference- https://articlescad.com/the-generative-ai-revolution-transforming-industries-with-brillio-231268.html

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searchunifyusa · 2 years ago

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Choose Leading AI-Driven Enterprise Search Solution, SearchUnify!

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#ai powered enterprise search #unified cognitive platform #enterprise search platform #ai driven enterprise search solution

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txttletale · 3 months ago

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Can I ask you what you think of this?

https://www.theguardian.com/technology/article/2024/jul/02/google-ai-emissions

https://www.npr.org/2024/09/20/nx-s1-5120581/three-mile-island-nuclear-power-plant-microsoft-ai

https://x.com/tsarnick/status/1842401670225125539?s=46

I’ve been reading a lot lately on how energy consuming ai actually isn’t, but then I see stuff like this and I get confused?

the two real sources that you've linked are using topical headlines for clicks--you will note that they both actually only describe power usage of datacenters. the percentage of any given datacenter that is used for AI is not publicly divulged but sources from google suggested a while ago that it's 10% or so. if you snapped your fingers and made LLM technology disappear overnight, microsoft and google would still be constantly expanding their datacenter capacity because they operate two of the biggest cloud systems in the world--there is a very misleading trick in these headlines where they say 'microsoft uses one morbillion kwh to power AI' and then you read it and they're just opening a datacenter.

now you might argue that constantly opening datacenters with huge power costs is still not good regardless of why, but that's a symptom of an economic system that demands endlessly climbing growth and profits, not of AI being scary and evil. if nobody had ever invented LLMs these tech companies would still be trying to make crypto or the metaverse happen and if nobody had invented those things they'd be making up some new solution in search of a problem to sell to anyone gullible enough to buy it--hell, they'd probably still be on Google Glass.

the last thing you linked is the CEO of google talking--& do you think perhaps there might be a vested interested for the CEO of a company who's put billions into LLMs to spread the message that the demand for LLMs is going to stay high and keep climbing forever and ever? not worth taking any more seriously than when elon musk says ai is going to make ready player one real or whatever

#ask

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mostlysignssomeportents · 2 years ago

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The AI hype bubble is the new crypto hype bubble

Back in 2017 Long Island Ice Tea — known for its undistinguished, barely drinkable sugar-water — changed its name to “Long Blockchain Corp.” Its shares surged to a peak of 400% over their pre-announcement price. The company announced no specific integrations with any kind of blockchain, nor has it made any such integrations since.

If you’d like an essay-formatted version of this post to read or share, here’s a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2023/03/09/autocomplete-worshippers/#the-real-ai-was-the-corporations-that-we-fought-along-the-way

LBCC was subsequently delisted from NASDAQ after settling with the SEC over fraudulent investor statements. Today, the company trades over the counter and its market cap is $36m, down from $138m.

https://cointelegraph.com/news/textbook-case-of-crypto-hype-how-iced-tea-company-went-blockchain-and-failed-despite-a-289-percent-stock-rise

The most remarkable thing about this incredibly stupid story is that LBCC wasn’t the peak of the blockchain bubble — rather, it was the start of blockchain’s final pump-and-dump. By the standards of 2022’s blockchain grifters, LBCC was small potatoes, a mere $138m sugar-water grift.

They didn’t have any NFTs, no wash trades, no ICO. They didn’t have a Superbowl ad. They didn’t steal billions from mom-and-pop investors while proclaiming themselves to be “Effective Altruists.” They didn’t channel hundreds of millions to election campaigns through straw donations and other forms of campaing finance frauds. They didn’t even open a crypto-themed hamburger restaurant where you couldn’t buy hamburgers with crypto:

https://robbreport.com/food-drink/dining/bored-hungry-restaurant-no-cryptocurrency-1234694556/

They were amateurs. Their attempt to “make fetch happen” only succeeded for a brief instant. By contrast, the superpredators of the crypto bubble were able to make fetch happen over an improbably long timescale, deploying the most powerful reality distortion fields since Pets.com.

Anything that can’t go on forever will eventually stop. We’re told that trillions of dollars’ worth of crypto has been wiped out over the past year, but these losses are nowhere to be seen in the real economy — because the “wealth” that was wiped out by the crypto bubble’s bursting never existed in the first place.

Like any Ponzi scheme, crypto was a way to separate normies from their savings through the pretense that they were “investing” in a vast enterprise — but the only real money (“fiat” in cryptospeak) in the system was the hardscrabble retirement savings of working people, which the bubble’s energetic inflaters swapped for illiquid, worthless shitcoins.

We’ve stopped believing in the illusory billions. Sam Bankman-Fried is under house arrest. But the people who gave him money — and the nimbler Ponzi artists who evaded arrest — are looking for new scams to separate the marks from their money.

Take Morganstanley, who spent 2021 and 2022 hyping cryptocurrency as a massive growth opportunity:

https://cointelegraph.com/news/morgan-stanley-launches-cryptocurrency-research-team

Today, Morganstanley wants you to know that AI is a $6 trillion opportunity.

They’re not alone. The CEOs of Endeavor, Buzzfeed, Microsoft, Spotify, Youtube, Snap, Sports Illustrated, and CAA are all out there, pumping up the AI bubble with every hour that god sends, declaring that the future is AI.

https://www.hollywoodreporter.com/business/business-news/wall-street-ai-stock-price-1235343279/

Google and Bing are locked in an arms-race to see whose search engine can attain the speediest, most profound enshittification via chatbot, replacing links to web-pages with florid paragraphs composed by fully automated, supremely confident liars:

https://pluralistic.net/2023/02/16/tweedledumber/#easily-spooked

Blockchain was a solution in search of a problem. So is AI. Yes, Buzzfeed will be able to reduce its wage-bill by automating its personality quiz vertical, and Spotify’s “AI DJ” will produce slightly less terrible playlists (at least, to the extent that Spotify doesn’t put its thumb on the scales by inserting tracks into the playlists whose only fitness factor is that someone paid to boost them).

But even if you add all of this up, double it, square it, and add a billion dollar confidence interval, it still doesn’t add up to what Bank Of America analysts called “a defining moment — like the internet in the ’90s.” For one thing, the most exciting part of the “internet in the ‘90s” was that it had incredibly low barriers to entry and wasn’t dominated by large companies — indeed, it had them running scared.

The AI bubble, by contrast, is being inflated by massive incumbents, whose excitement boils down to “This will let the biggest companies get much, much bigger and the rest of you can go fuck yourselves.” Some revolution.

AI has all the hallmarks of a classic pump-and-dump, starting with terminology. AI isn’t “artificial” and it’s not “intelligent.” “Machine learning” doesn’t learn. On this week’s Trashfuture podcast, they made an excellent (and profane and hilarious) case that ChatGPT is best understood as a sophisticated form of autocomplete — not our new robot overlord.

https://open.spotify.com/episode/4NHKMZZNKi0w9mOhPYIL4T

We all know that autocomplete is a decidedly mixed blessing. Like all statistical inference tools, autocomplete is profoundly conservative — it wants you to do the same thing tomorrow as you did yesterday (that’s why “sophisticated” ad retargeting ads show you ads for shoes in response to your search for shoes). If the word you type after “hey” is usually “hon” then the next time you type “hey,” autocomplete will be ready to fill in your typical following word — even if this time you want to type “hey stop texting me you freak”:

https://blog.lareviewofbooks.org/provocations/neophobic-conservative-ai-overlords-want-everything-stay/

And when autocomplete encounters a new input — when you try to type something you’ve never typed before — it tries to get you to finish your sentence with the statistically median thing that everyone would type next, on average. Usually that produces something utterly bland, but sometimes the results can be hilarious. Back in 2018, I started to text our babysitter with “hey are you free to sit” only to have Android finish the sentence with “on my face” (not something I’d ever typed!):

https://mashable.com/article/android-predictive-text-sit-on-my-face

Modern autocomplete can produce long passages of text in response to prompts, but it is every bit as unreliable as 2018 Android SMS autocomplete, as Alexander Hanff discovered when ChatGPT informed him that he was dead, even generating a plausible URL for a link to a nonexistent obit in The Guardian:

https://www.theregister.com/2023/03/02/chatgpt_considered_harmful/

Of course, the carnival barkers of the AI pump-and-dump insist that this is all a feature, not a bug. If autocomplete says stupid, wrong things with total confidence, that’s because “AI” is becoming more human, because humans also say stupid, wrong things with total confidence.

Exhibit A is the billionaire AI grifter Sam Altman, CEO if OpenAI — a company whose products are not open, nor are they artificial, nor are they intelligent. Altman celebrated the release of ChatGPT by tweeting “i am a stochastic parrot, and so r u.”

https://twitter.com/sama/status/1599471830255177728

This was a dig at the “stochastic parrots” paper, a comprehensive, measured roundup of criticisms of AI that led Google to fire Timnit Gebru, a respected AI researcher, for having the audacity to point out the Emperor’s New Clothes:

https://www.technologyreview.com/2020/12/04/1013294/google-ai-ethics-research-paper-forced-out-timnit-gebru/

Gebru’s co-author on the Parrots paper was Emily M Bender, a computational linguistics specialist at UW, who is one of the best-informed and most damning critics of AI hype. You can get a good sense of her position from Elizabeth Weil’s New York Magazine profile:

https://nymag.com/intelligencer/article/ai-artificial-intelligence-chatbots-emily-m-bender.html

Bender has made many important scholarly contributions to her field, but she is also famous for her rules of thumb, which caution her fellow scientists not to get high on their own supply:

Please do not conflate word form and meaning

Mind your own credulity

As Bender says, we’ve made “machines that can mindlessly generate text, but we haven’t learned how to stop imagining the mind behind it.” One potential tonic against this fallacy is to follow an Italian MP’s suggestion and replace “AI” with “SALAMI” (“Systematic Approaches to Learning Algorithms and Machine Inferences”). It’s a lot easier to keep a clear head when someone asks you, “Is this SALAMI intelligent? Can this SALAMI write a novel? Does this SALAMI deserve human rights?”

Bender’s most famous contribution is the “stochastic parrot,” a construct that “just probabilistically spits out words.” AI bros like Altman love the stochastic parrot, and are hellbent on reducing human beings to stochastic parrots, which will allow them to declare that their chatbots have feature-parity with human beings.

At the same time, Altman and Co are strangely afraid of their creations. It’s possible that this is just a shuck: “I have made something so powerful that it could destroy humanity! Luckily, I am a wise steward of this thing, so it’s fine. But boy, it sure is powerful!”

They’ve been playing this game for a long time. People like Elon Musk (an investor in OpenAI, who is hoping to convince the EU Commission and FTC that he can fire all of Twitter’s human moderators and replace them with chatbots without violating EU law or the FTC’s consent decree) keep warning us that AI will destroy us unless we tame it.

There’s a lot of credulous repetition of these claims, and not just by AI’s boosters. AI critics are also prone to engaging in what Lee Vinsel calls criti-hype: criticizing something by repeating its boosters’ claims without interrogating them to see if they’re true:

https://sts-news.medium.com/youre-doing-it-wrong-notes-on-criticism-and-technology-hype-18b08b4307e5

There are better ways to respond to Elon Musk warning us that AIs will emulsify the planet and use human beings for food than to shout, “Look at how irresponsible this wizard is being! He made a Frankenstein’s Monster that will kill us all!” Like, we could point out that of all the things Elon Musk is profoundly wrong about, he is most wrong about the philosophical meaning of Wachowksi movies:

https://www.theguardian.com/film/2020/may/18/lilly-wachowski-ivana-trump-elon-musk-twitter-red-pill-the-matrix-tweets

But even if we take the bros at their word when they proclaim themselves to be terrified of “existential risk” from AI, we can find better explanations by seeking out other phenomena that might be triggering their dread. As Charlie Stross points out, corporations are Slow AIs, autonomous artificial lifeforms that consistently do the wrong thing even when the people who nominally run them try to steer them in better directions:

https://media.ccc.de/v/34c3-9270-dude_you_broke_the_future

Imagine the existential horror of a ultra-rich manbaby who nominally leads a company, but can’t get it to follow: “everyone thinks I’m in charge, but I’m actually being driven by the Slow AI, serving as its sock puppet on some days, its golem on others.”

Ted Chiang nailed this back in 2017 (the same year of the Long Island Blockchain Company):

There’s a saying, popularized by Fredric Jameson, that it’s easier to imagine the end of the world than to imagine the end of capitalism. It’s no surprise that Silicon Valley capitalists don’t want to think about capitalism ending. What’s unexpected is that the way they envision the world ending is through a form of unchecked capitalism, disguised as a superintelligent AI. They have unconsciously created a devil in their own image, a boogeyman whose excesses are precisely their own.

https://www.buzzfeednews.com/article/tedchiang/the-real-danger-to-civilization-isnt-ai-its-runaway

Chiang is still writing some of the best critical work on “AI.” His February article in the New Yorker, “ChatGPT Is a Blurry JPEG of the Web,” was an instant classic:

[AI] hallucinations are compression artifacts, but — like the incorrect labels generated by the Xerox photocopier — they are plausible enough that identifying them requires comparing them against the originals, which in this case means either the Web or our own knowledge of the world.

https://www.newyorker.com/tech/annals-of-technology/chatgpt-is-a-blurry-jpeg-of-the-web

“AI” is practically purpose-built for inflating another hype-bubble, excelling as it does at producing party-tricks — plausible essays, weird images, voice impersonations. But as Princeton’s Matthew Salganik writes, there’s a world of difference between “cool” and “tool”:

https://freedom-to-tinker.com/2023/03/08/can-chatgpt-and-its-successors-go-from-cool-to-tool/

Nature can claim “conversational AI is a game-changer for science” but “there is a huge gap between writing funny instructions for removing food from home electronics and doing scientific research.” Salganik tried to get ChatGPT to help him with the most banal of scholarly tasks — aiding him in peer reviewing a colleague’s paper. The result? “ChatGPT didn’t help me do peer review at all; not one little bit.”

The criti-hype isn’t limited to ChatGPT, of course — there’s plenty of (justifiable) concern about image and voice generators and their impact on creative labor markets, but that concern is often expressed in ways that amplify the self-serving claims of the companies hoping to inflate the hype machine.

One of the best critical responses to the question of image- and voice-generators comes from Kirby Ferguson, whose final Everything Is a Remix video is a superb, visually stunning, brilliantly argued critique of these systems:

https://www.youtube.com/watch?v=rswxcDyotXA

One area where Ferguson shines is in thinking through the copyright question — is there any right to decide who can study the art you make? Except in some edge cases, these systems don’t store copies of the images they analyze, nor do they reproduce them:

https://pluralistic.net/2023/02/09/ai-monkeys-paw/#bullied-schoolkids

For creators, the important material question raised by these systems is economic, not creative: will our bosses use them to erode our wages? That is a very important question, and as far as our bosses are concerned, the answer is a resounding yes.

Markets value automation primarily because automation allows capitalists to pay workers less. The textile factory owners who purchased automatic looms weren’t interested in giving their workers raises and shorting working days. ‘ They wanted to fire their skilled workers and replace them with small children kidnapped out of orphanages and indentured for a decade, starved and beaten and forced to work, even after they were mangled by the machines. Fun fact: Oliver Twist was based on the bestselling memoir of Robert Blincoe, a child who survived his decade of forced labor:

https://www.gutenberg.org/files/59127/59127-h/59127-h.htm

Today, voice actors sitting down to record for games companies are forced to begin each session with “My name is ______ and I hereby grant irrevocable permission to train an AI with my voice and use it any way you see fit.”

https://www.vice.com/en/article/5d37za/voice-actors-sign-away-rights-to-artificial-intelligence

Let’s be clear here: there is — at present — no firmly established copyright over voiceprints. The “right” that voice actors are signing away as a non-negotiable condition of doing their jobs for giant, powerful monopolists doesn’t even exist. When a corporation makes a worker surrender this right, they are betting that this right will be created later in the name of “artists’ rights” — and that they will then be able to harvest this right and use it to fire the artists who fought so hard for it.

There are other approaches to this. We could support the US Copyright Office’s position that machine-generated works are not works of human creative authorship and are thus not eligible for copyright — so if corporations wanted to control their products, they’d have to hire humans to make them:

https://www.theverge.com/2022/2/21/22944335/us-copyright-office-reject-ai-generated-art-recent-entrance-to-paradise

Or we could create collective rights that belong to all artists and can’t be signed away to a corporation. That’s how the right to record other musicians’ songs work — and it’s why Taylor Swift was able to re-record the masters that were sold out from under her by evil private-equity bros::

https://doctorow.medium.com/united-we-stand-61e16ec707e2

Whatever we do as creative workers and as humans entitled to a decent life, we can’t afford drink the Blockchain Iced Tea. That means that we have to be technically competent, to understand how the stochastic parrot works, and to make sure our criticism doesn’t just repeat the marketing copy of the latest pump-and-dump.

Today (Mar 9), you can catch me in person in Austin at the UT School of Design and Creative Technologies, and remotely at U Manitoba’s Ethics of Emerging Tech Lecture.

Tomorrow (Mar 10), Rebecca Giblin and I kick off the SXSW reading series.

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[Image ID: A graph depicting the Gartner hype cycle. A pair of HAL 9000's glowing red eyes are chasing each other down the slope from the Peak of Inflated Expectations to join another one that is at rest in the Trough of Disillusionment. It, in turn, sits atop a vast cairn of HAL 9000 eyes that are piled in a rough pyramid that extends below the graph to a distance of several times its height.]

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rideboomindia · 5 months ago

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Based on the search results, here are some innovative technologies that RideBoom could implement to enhance the user experience and stay ahead of ONDC:

Enhanced Safety Measures: RideBoom has already implemented additional safety measures, including enhanced driver background checks, real-time trip monitoring, and improved emergency response protocols. [1] To stay ahead, they could further enhance safety by integrating advanced telematics and AI-powered driver monitoring systems to ensure safe driving behavior.

Personalized and Customizable Services: RideBoom could introduce a more personalized user experience by leveraging data analytics and machine learning to understand individual preferences and offer tailored services. This could include features like customizable ride preferences, personalized recommendations, and the ability to save preferred routes or driver profiles. [1]

Seamless Multimodal Integration: To provide a more comprehensive transportation solution, RideBoom could integrate with other modes of transportation, such as public transit, bike-sharing, or micro-mobility options. This would allow users to plan and book their entire journey seamlessly through the RideBoom app, enhancing the overall user experience. [1]

Sustainable and Eco-friendly Initiatives: RideBoom has already started introducing electric and hybrid vehicles to its fleet, but they could further expand their green initiatives. This could include offering incentives for eco-friendly ride choices, partnering with renewable energy providers, and implementing carbon offset programs to reduce the environmental impact of their operations. [1]

Innovative Payment and Loyalty Solutions: To stay competitive with ONDC's zero-commission model, RideBoom could explore innovative payment options, such as integrated digital wallets, subscription-based services, or loyalty programs that offer rewards and discounts to frequent users. This could help attract and retain customers by providing more value-added services. [2]

Robust Data Analytics and Predictive Capabilities: RideBoom could leverage advanced data analytics and predictive modeling to optimize their operations, anticipate demand patterns, and proactively address user needs. This could include features like dynamic pricing, intelligent routing, and personalized recommendations to enhance the overall user experience. [1]

By implementing these innovative technologies, RideBoom can differentiate itself from ONDC, provide a more seamless and personalized user experience, and stay ahead of the competition in the on-demand transportation market.

#rideboom #rideboom app #delhi rideboom #ola cabs #biketaxi #uber #rideboom taxi app #ola #uber driver #uber taxi #rideboomindia #rideboom uber

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wizzy-ai-powered-site-search · 22 days ago

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mariacallous · 3 months ago

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At 8:22 am on December 4 last year, a car traveling down a small residential road in Alabama used its license-plate-reading cameras to take photos of vehicles it passed. One image, which does not contain a vehicle or a license plate, shows a bright red “Trump” campaign sign placed in front of someone’s garage. In the background is a banner referencing Israel, a holly wreath, and a festive inflatable snowman.

Another image taken on a different day by a different vehicle shows a “Steelworkers for Harris-Walz” sign stuck in the lawn in front of someone’s home. A construction worker, with his face unblurred, is pictured near another Harris sign. Other photos show Trump and Biden (including “Fuck Biden”) bumper stickers on the back of trucks and cars across America. One photo, taken in November 2023, shows a partially torn bumper sticker supporting the Obama-Biden lineup.

These images were generated by AI-powered cameras mounted on cars and trucks, initially designed to capture license plates, but which are now photographing political lawn signs outside private homes, individuals wearing T-shirts with text, and vehicles displaying pro-abortion bumper stickers—all while recording the precise locations of these observations. Newly obtained data reviewed by WIRED shows how a tool originally intended for traffic enforcement has evolved into a system capable of monitoring speech protected by the US Constitution.

The detailed photographs all surfaced in search results produced by the systems of DRN Data, a license-plate-recognition (LPR) company owned by Motorola Solutions. The LPR system can be used by private investigators, repossession agents, and insurance companies; a related Motorola business, called Vigilant, gives cops access to the same LPR data.

However, files shared with WIRED by artist Julia Weist, who is documenting restricted datasets as part of her work, show how those with access to the LPR system can search for common phrases or names, such as those of politicians, and be served with photographs where the search term is present, even if it is not displayed on license plates.

A search result for the license plates from Delaware vehicles with the text “Trump” returned more than 150 images showing people’s homes and bumper stickers. Each search result includes the date, time, and exact location of where a photograph was taken.

“I searched for the word ‘believe,’ and that is all lawn signs. There’s things just painted on planters on the side of the road, and then someone wearing a sweatshirt that says ‘Believe.’” Weist says. “I did a search for the word ‘lost,’ and it found the flyers that people put up for lost dogs and cats.”

Beyond highlighting the far-reaching nature of LPR technology, which has collected billions of images of license plates, the research also shows how people’s personal political views and their homes can be recorded into vast databases that can be queried.

“It really reveals the extent to which surveillance is happening on a mass scale in the quiet streets of America,” says Jay Stanley, a senior policy analyst at the American Civil Liberties Union. “That surveillance is not limited just to license plates, but also to a lot of other potentially very revealing information about people.”

DRN, in a statement issued to WIRED, said it complies with “all applicable laws and regulations.”

Billions of Photos

License-plate-recognition systems, broadly, work by first capturing an image of a vehicle; then they use optical character recognition (OCR) technology to identify and extract the text from the vehicle's license plate within the captured image. Motorola-owned DRN sells multiple license-plate-recognition cameras: a fixed camera that can be placed near roads, identify a vehicle’s make and model, and capture images of vehicles traveling up to 150 mph; a “quick deploy” camera that can be attached to buildings and monitor vehicles at properties; and mobile cameras that can be placed on dashboards or be mounted to vehicles and capture images when they are driven around.

Over more than a decade, DRN has amassed more than 15 billion “vehicle sightings” across the United States, and it claims in its marketing materials that it amasses more than 250 million sightings per month. Images in DRN’s commercial database are shared with police using its Vigilant system, but images captured by law enforcement are not shared back into the wider database.

The system is partly fueled by DRN “affiliates” who install cameras in their vehicles, such as repossession trucks, and capture license plates as they drive around. Each vehicle can have up to four cameras attached to it, capturing images in all angles. These affiliates earn monthly bonuses and can also receive free cameras and search credits.

In 2022, Weist became a certified private investigator in New York State. In doing so, she unlocked the ability to access the vast array of surveillance software accessible to PIs. Weist could access DRN’s analytics system, DRNsights, as part of a package through investigations company IRBsearch. (After Weist published an op-ed detailing her work, IRBsearch conducted an audit of her account and discontinued it. The company did not respond to WIRED’s request for comment.)

“There is a difference between tools that are publicly accessible, like Google Street View, and things that are searchable,” Weist says. While conducting her work, Weist ran multiple searches for words and popular terms, which found results far beyond license plates. In data she shared with WIRED, a search for “Planned Parenthood,” for instance, returned stickers on cars, on bumpers, and in windows, both for and against the reproductive health services organization. Civil liberties groups have already raised concerns about how license-plate-reader data could be weaponized against those seeking abortion.

Weist says she is concerned with how the search tools could be misused when there is increasing political violence and divisiveness in society. While not linked to license plate data, one law enforcement official in Ohio recently said people should “write down” the addresses of people who display yard signs supporting Vice President Kamala Harris, the 2024 Democratic presidential nominee, exemplifying how a searchable database of citizens’ political affiliations could be abused.

A 2016 report by the Associated Press revealed widespread misuse of confidential law enforcement databases by police officers nationwide. In 2022, WIRED revealed that hundreds of US Immigration and Customs Enforcement employees and contractors were investigated for abusing similar databases, including LPR systems. The alleged misconduct in both reports ranged from stalking and harassment to sharing information with criminals.

While people place signs in their lawns or bumper stickers on their cars to inform people of their views and potentially to influence those around them, the ACLU’s Stanley says it is intended for “human-scale visibility,” not that of machines. “Perhaps they want to express themselves in their communities, to their neighbors, but they don't necessarily want to be logged into a nationwide database that’s accessible to police authorities,” Stanley says.

Weist says the system, at the very least, should be able to filter out images that do not contain license plate data and not make mistakes. “Any number of times is too many times, especially when it's finding stuff like what people are wearing or lawn signs,” Weist says.

“License plate recognition (LPR) technology supports public safety and community services, from helping to find abducted children and stolen vehicles to automating toll collection and lowering insurance premiums by mitigating insurance fraud,” Jeremiah Wheeler, the president of DRN, says in a statement.

Weist believes that, given the relatively small number of images showing bumper stickers compared to the large number of vehicles with them, Motorola Solutions may be attempting to filter out images containing bumper stickers or other text.

Wheeler did not respond to WIRED's questions about whether there are limits on what can be searched in license plate databases, why images of homes with lawn signs but no vehicles in sight appeared in search results, or if filters are used to reduce such images.

“DRNsights complies with all applicable laws and regulations,” Wheeler says. “The DRNsights tool allows authorized parties to access license plate information and associated vehicle information that is captured in public locations and visible to all. Access is restricted to customers with certain permissible purposes under the law, and those in breach have their access revoked.”

AI Everywhere

License-plate-recognition systems have flourished in recent years as cameras have become smaller and machine-learning algorithms have improved. These systems, such as DRN and rival Flock, mark part of a change in the way people are surveilled as they move around cities and neighborhoods.

Increasingly, CCTV cameras are being equipped with AI to monitor people’s movements and even detect their emotions. The systems have the potential to alert officials, who may not be able to constantly monitor CCTV footage, to real-world events. However, whether license plate recognition can reduce crime has been questioned.

“When government or private companies promote license plate readers, they make it sound like the technology is only looking for lawbreakers or people suspected of stealing a car or involved in an amber alert, but that’s just not how the technology works,” says Dave Maass, the director of investigations at civil liberties group the Electronic Frontier Foundation. “The technology collects everyone's data and stores that data often for immense periods of time.”

Over time, the technology may become more capable, too. Maass, who has long researched license-plate-recognition systems, says companies are now trying to do “vehicle fingerprinting,” where they determine the make, model, and year of the vehicle based on its shape and also determine if there’s damage to the vehicle. DRN’s product pages say one upcoming update will allow insurance companies to see if a car is being used for ride-sharing.

“The way that the country is set up was to protect citizens from government overreach, but there’s not a lot put in place to protect us from private actors who are engaged in business meant to make money,” Nicole McConlogue, an associate professor of law at the Mitchell Hamline School of Law, who has researched license-plate-surveillance systems and their potential for discrimination.

“The volume that they’re able to do this in is what makes it really troubling,” McConlogue says of vehicles moving around streets collecting images. “When you do that, you're carrying the incentives of the people that are collecting the data. But also, in the United States, you’re carrying with it the legacy of segregation and redlining, because that left a mark on the composition of neighborhoods.”

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auideas · 1 year ago

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Ermmm sorry if this is weird but do u maybe have any like, ““original”” cyberpunk prompts? I want to write something cyberpunk for an au but I just don’t have any ideas right now no matter how long I brainstorm

Exploring Cyberpunk

Cyberpunk is a very unique genre, which is why so many people are both attracted to it and stumped when attempting to develop plots within an unknown world. Think of Black Mirror created by Charlie Brooker (TV show), Blade Runner written by Philip K. Dick (a movie based on the novel Do Androids Dream of Electric Sheep?, a classic Cyberpunk novel), Altered Carbon by Richard K. Morgan (modern Cyberpunk novel), etc. -- each of these were incredibly influential in their own right, but they all also build their worlds gradually while having a single easy-to-explain concept that can spawn an entire universe. To be more specific, each story establishes an issue created by an advanced society ignorantly abusing technology, then allow their characters to explore that problem and try to find a solution in a manner that isn't explicitly black or white for society as a whole, but every shade of grey.

For Black Mirror, each episode anthologically builds upon a high-tech future within the same universe and explores how its characters interact with problems created by new pieces of said technology, both good and bad.

For Blade Runner, the story establishes that androids seem to be malfunctioning, but the bounty hunter charged with hunting them down discovers that the true issue lies in society's understanding of what it means to be human.

For Altered Carbon, the novel explores the issue derived from the obscene length of time it would take for humans to travel between planets stretched across the universe, then dives into more detail regarding how a solution has been abused.

How to Construct a Cyberpunk Concept

What we'd recommend is to start by asking the right questions and looking in the right places. Black Mirror takes its inspiration from a variety of technology, both new and old; Blade Runner explores the idea of AI and androids during the 80's when robotics was on the forefront of innovation; Altered Carbon took note of our increasing ability to travel in an interstellar fashion, then posed a simple question regarding the limits of humanity (specifically, time).

This may sound strange, but the best thing you can do is seek out trends online and scientific journals about new breakthroughs, then ask questions about what may go wrong. For example, an old post we featured here on AUideas that has since been removed from ~2017 because it's in the process of being developed into a script (sorry guys, our bad!) called Dreamscape Co. uses this exact method. When the prompt was made, Admin M was in the process of reading a scientific journal about how neurologists had been able to project a person's thoughts into an image. Although the technology was rudimentary at the time, Admin M posed the question "if dreams can be viewed, what if dreams can be watched in real time with a high quality image? What if they could be immersive? What would that industry look like? Who would pay how much to see a certain person's dreams?" This spun out into a sweeping cyberpunk mini-series, yet came from a simple news article.

Some Cyberpunk Inspiration

When performing a quick search, some amazing ideas seemed to jump out from technology news headlines these past couple weeks alone:

Ferroelectric Liquid Crystal (FLC) Technology Being Used in 3D Displays

Unlike holograms, this technology uses liquid crystals that exhibit spontaneous polarization, meaning their orientation can be influenced by an electric field. They're high-speed, low-power, and have innumerable applications in the future. So, what could go wrong?

How could this technology impact the medical field? Although this may not be possible, consider what could occur if FLCs were injected into human bodies and influenced by electric fields to perform different tasks and functions, such as replacing an organ, attacking cancer cells, etc. How could such a technology be abused or go wrong? How many could die with a simple pulse, like an EMP?

Real-Life Freeze Ray Technology Created for the US Airforce

This technology hasn't been developed to be used as weaponry, but instead to replace large amounts of coolant that must be used on space and air crafts to prevent the machinery from overheating (coolant is heavy and can reduce efficiency yet is absolutely necessary due to the fact that space is a vacuum and therefore does not cool heat like air would on Earth). This "freeze ray" technology utilizes plasma's strange property that seems to break the second law of thermodynamics: it chills down when touching another object before heating up, which experts have proposed is because it vaporizes the ultra-thin layer of carbon and water on an object upon contact, similar to how water evaporates off your skin when stepping out of a pool. The question must be asked: how could such technology be used for not just utilitarian means, but outside of the Airforce's intentions?

Perhaps the technology could be manipulated and over-chill an aircraft, or otherwise damage internal engineering.

Consider its potential applications here on Earth: what could benefit from being chilled with something light-weight and low-power? How could it be integrated into homes? What could be disastrously destroyed with such technology?

Breakthrough in Enhanced Geothermal Systems Technology May Completely Replace Carbon Energy Sources

Google and Fervo have successfully developed geothermal technology that has increased its efficiency and broke records by changing existing rock formations in the Earth's crust. For a natural geothermal energy system to produce electricity, it has to have the right amount of heat, fluid, and rock permeability -- these Goldilocks conditions can be difficult to find 'in the wild'. However, this new Enhanced Geothermal System (EGS) targets the most-easily found aspect (rocks with high heat) then creates the necessary permeability artificially by drilling to the intended rock formation and injecting fluid to create fractures in the rock, achieving the necessary Goldilocks conditions. Sure, this may be carbon-free energy, but what would happen if this were employed on a mass scale?

When energy is prioritized by a high-tech society over food and water, how could citizens gain access to those resources?

What long-term effects could such a system have on the Earth as a whole? Could the ground become unstable? Maybe earthquakes crumble city after city? Maybe the entire Earth's crust loses its integrity and disintegrates, pulling only a lucky few deep underground and forcing them to survive off the left over fluid injected into the Earth's crust and whatever they can find.

Closing Thoughts

As you can see from above, there's a crazy amount of inspiration that can be drawn from current technology events. What's important to remember is that yes, we've been talking about complicated technology, but only you have to understand how it functions in your universe down to the molecule, not your audience. Deep technology topics can be dry to a certain extent, and over-explaining your world can be damaging to your story. Explanations regarding how technology works in each of the stories we discussed is limited for that same reason (Black Mirror's overarching concepts, specifics about how Blade Runner's Replicant technology are rarely discussed, etc.). Leave some mystery surrounding how your cyberpunk world functions and allow how your characters room to breathe and interact with that world -- it can speak for itself. Your audience may first love the idea behind your story, but what they'll remember and relate to is how your protagonists and antagonists suffer and prevail within your universe.

We hope this answered your question, and feel free to follow up if you'd like some more guidance and advice on how to construct your Cyberpunk story! In addition, feel free to check out our other post which outlines more information on how to build a Cyberpunk world.

Now get to writing, and have an awesome week!

-- Admin M x

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satoshi-mochida · 2 months ago

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The Legend of Heroes: Trails through Daybreak II launches February 14, 2025 in the west - Gematsu

The Legend of Heroes: Trails through Daybreak II will launch for PlayStation 5, PlayStation 4, Switch, and PC via Steam, Epic Games Store, and GOG on February 14, 2025 in the west, publisher NIS America announced.

The Legend of Heroes: Trails through Daybreak II is currently available for PlayStation 5, PlayStation 4, and Switch in Japan and Asia, as well as PC via Steam in Asia.

Here is an overview of the game, via NIS America:

About

No longer threatened by the mafia organization Almata, the people of Calvard have returned to their peaceful lives. But one day, a shocking series of murders involving a mysterious crimson beast sets the wheels of fate in motion once again. Various factions spring into action – both those who abide by the law to uncover the truth and those looking to capitalize on any new developments wherever possible, no matter how sinister. With chaos once again looming on the horizon, the spriggan Van Arkride receives an unexpected visitor, prompting his own investigation. Who is behind the murders, and what is their goal? The sands of time bring old and new faces together for this thrilling second installment in the Trails through Daybreak saga.

Story

Year 1209 of the Septian Calendar. The threat posed by Almata has passed. Peace has finally returned to Calvard. And, for a time, that peace goes uninterrupted—until a CID special forces unit is slaughtered by an unknown assailant. With authorities working to contain the situation, criminal forces take the chance to make their own moves. Meanwhile, a spriggan by the name of Van Arkride begins his own investigation—after prompting from an unexpected visitor. Who could be responsible for this massacre? What was their objective? And how does it all relate to Agnes’ search for the eighth Genesis? A crimson beast’s roar. A chance meeting with a boy and girl, both embroiled in a mysterious search. These are the circumstances that lure Arkride Solutions down the trail of an inescapable fate.

System

Battle System – The game builds on the seamless transition between field battles and command battles introduced in the previous game with new mechanics that can be used in both: Cross Charge & EX Chains! Mastering the use of these two combo mechanics can provide you with overwhelming firepower to use against your opponents.

Cross Charge – If you manage to Perfect Dodge an enemy’s attack during a field battle, the Cross Charge icon will appear! Pushing the correct button while the icon is on-screen will swap in another party member, who will simultaneously execute a charge attack on your foe! As a bonus, the party member that you swap in will have enhanced attack power for a period of time.

EX Chains – EX Chains can be activated by fulfilling specific conditions during command battles. Once these conditions have been met, using a craft or normal attack against a stunned enemy will automatically activate an EX Chain! This allows party members with SCLM activated to launch a simultaneous attack that will also impact nearby enemies, dealing massive damage.

Choose Your Chapters – Van and his collaborators will not always travel together during the events of Trails through Daybreak II. At times, some of the group may split off in order to take care of tasks in different areas of Calvard concurrently. Because of this, each act contains multiple chapters you can play in any order. Progress the story in the order you choose! Each chapter features a different cast of characters as we see their side of the act’s story play out. Once you’ve completed your chosen chapter, the next one will start up automatically.

Unique Missions – Certain chapters will feature missions that utilize the unique skillsets of the characters in that chapter’s party. For example, directly controlling the holo core AI, Mare, to hack the orbal network, or using Swin to silently tail a suspicious individual.

Characters

Van Arkride – The man at the head of Arkride Solutions. A lover of sweets, saunas, and orbal cars. Due to his job as a spriggan, Van has a tendency to take on legally-questionable jobs. However, the fact that he occasionally walks on the edge of the law does not preclude him from doing good by others—as is evidenced by his numerous personal contacts. While tracking down the Oct-Geneses at Agnes’ request, Van developed the ability to transform into an armored form known as the Grendel with the help of Mare, the holo core installed within his combat orbment. It was with this new ability that he was able to fend off the mafia group known as Almata. Having once terrorized the entirety of the Republic, Almata was eventually brought to its knees by the Arkride Solutions team during the fight for the Oct-Geneses. Upon the quelling of this threat, however, they decided to temporarily go their separate ways. Now left to himself in a less-than- lively office, Van is free to return to his lone-wolf lifestyle once more.

Agnes Claudel – A first-year at the prestigious Aramis Academy who currently serves on its Student Council. Despite her polite manner of speaking and at times meek demeanor, Agnes has shown great strength and determination while employed at Arkride Solutions—especially when facing off against the seedy underbelly of society. Agnes first met Van while searching for eight prototype orbments known as the Oct-Geneses, which she inherited from her great-grandfather. As thanks for taking on her request, she began working as one of Arkride Solution’s part-time assistants. At present, Agnes has recovered seven of the eight Geneses. Unfortunately, while continuing her search for the last remaining Genesis, she’s had no choice but to also divide her time between preparing for the Aramis Academy Festival and periodically helping out around Arkride Solutions. Regarding her relationship with Van, she both respects and admires him as her employer. However, she seems to be harboring some more amorous feelings for him as well…

Elaine Auclair – An A-rank bracer affiliated with the Calvard branch of the Bracer Guild. She is occasionally referred to by the moniker “Beauty’s Blade.” Due to her dignified beauty and masterful skill with a sword, Elaine tends to catch the eye of the media more often than not. Unfortunately, this also leads to talent agencies offering her contracts for modeling and acting—she always declines. Outside of being the poster girl for the Bracer Guild, Elaine has no present interest in joining the world of entertainment. During her high school years, she enjoyed a brief and fleeting romance with Van before he suddenly vanished without so much as a word. It was only recently, after seven years, that the two were able to reunite. Although their lingering feelings for each other have left their current relationship a bit tense, their time fighting Almata together was able to strengthen their bond once more. Some time after the events involving Almata and the Oct-Geneses, Elaine received word that the Central Intelligence Department’s elite Gamma Squad had been brutally murdered by an unknown assailant, and that a ‘crimson’ monster was spotted at the scene of the crime…

World

The Republic of Calvard – A large country located in the central region of the Zemurian continent. Its current leader is President Roy Gramheart. Due to the unfortunate circumstances created by the desertification of eastern Zemuria, Calvard has a substantial history of receiving both immigrants and refugees. The resulting mixture of cultures and ethnicities has made the country into something of a melting pot. One hundred years ago, Calvard was under the heel of its monarchal rulers. It was only after Sheena Dirke and her compatriots brought about a democratic revolution that the nation was transformed into a democratic republic. Though in constant conflict with Erebonia over the control of bordering regions, Calvard has recently been on the receiving end of reparations from the empire following the Battle of Jormungandr. These reparations enabled Calvard to enter a period of rapid growth and development, leading to its eventual overtake of Erebonia as the most powerful nation on the continent. Regarding the region’s recreational interests, recent technological advancements in orbal vehicles and filmmaking have caused a boom in both the motorsports and orbal cinema industries.

Messeldam – A moderate-sized city located in the north of Calvard. Due to its long-standing role as one of the Northern Sea’s major trading ports, Messeldam was often tasked during the days of monarchal rule with the delivery of imports to the capital of Oracion—along with fresh seafood, of course. Although the port remains active to this day, developments in airship technology have greatly diminished its significance. The city itself, however, remains an important gateway to Remiferia and its surrounding nations. Unlike Langport, Messeldam possesses very few tourist destinations. That being said, the townscape’s architecture tends to be quite popular with visitors, as its design has seen little change in the past century. The city’s Eastern and Central Eastern populations are fairly meager due to its geographical location. As such, it lacks a community that values cultural traditionalism. This has, fortunately, been a boon for Messeldam, as new art movements and customs are accepted with relative ease. It was this very attitude that led to the city serving as the venue for the Orbal Film Festival for a number of years, until its relocation to Tharbad in 1208.

Watch a new trailer below.

Western Release Date Trailer

youtube

#The Legend of Heroes: Trails through Daybreak II #The Legend of Heroes: Trails through Daybreak #The Legend of Heroes #Trails through Daybreak II #Trails through Daybreak #Kuro no Kiseki II #Kuro no Kiseki #Trails series #Falcom #NIS America #Gematsu

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tiger-moran · 4 months ago

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More Sherlock & Co episode thoughts

The Creeping Man - it was probably a clever solution to the original story being utterly batshit and making no sense but I couldn't really follow the stuff about the AI and how that worked so... I'm not sure this made a great deal more sense to me either.

I loved that all three of them turned up to see the cat, that was super sweet.

The Retired Colourman - I'm sorry this one just didn't work for me. Too many things seemed 'off' about it. Like the police have supposedly searched the house already but they've apparently missed everything? So what did they actually search if they didn't check the shed or the water tank or the walls or the bins or the cellar? And Sherlock still seems to miss a lot of things too? It's Barker who looks in the bins and works out something that seems pretty obvious. Mariana points out an oddity about the water system but nobody not even Sherlock thinks that's weird enough to look into there and then?

And the original story I think is probably the most chilling story in the canon - it being the murderer who calls Holmes in; Amberley constructing his own gas chamber; the attempt by one of the victims to write a message before he dies mid-word, and then... that question. This... it doesn't work! All of that is absent or changed and asking "What have you done with the bodies" when we've established right from the start that both the missing people are dead, all the power of that question is gone if we already know they're dead from the start. We might have a vague suspicion that they're dead in the canon but we don't know that. Holmes's question does come seemingly from almost out of nowhere there and it is, well, chilling. Here it was just anticlimactic though when 'where are the bodies' is the thing the entire episode has just been about.

Also surely that couldn't be blood coming out of the tap, surely it would be, uh, something else. I mean, they're decomposing, they've been decomposing for a week. Gross.

Personally I didn't care for what they did with Barker either. Barker in the canon intrigues me but I didn't like this take on him, although I may be about the only person in the world who does have any interest in Barker. It's just disappointing to me that this character so rarely gets used in anything and then one of the few times he does they've changed him almost beyond recognition. And why is the Amberley character now Vietnamese. Sure you can change characters' ethnicities but I'm just wondering why some of the few characters they've very definitely done that for are a very cold-blooded murderer and a murder victim.

The best parts and the elements I actually did really like were Mariana seriously contributing to solving the case and Sherlock's conversation with her just before they found the bodies; him acknowledging that she was a key part in solving it and encouraging her to see it through to the end while understanding that she didn't want to see the bodies herself and reassuring her that he would do that part himself, I really loved all of that.

Silver Blaze - I've only heard the first two parts so far but

Needs more Mariana

The audio skipping to something rude each time is such an old gag but still funny

#Sherlock & Co #Sherlock and Co #Sherlock Holmes #Mariana Ametxazurra #Barker

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initiumseries · 6 months ago

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When you say no to ai, does that include me using Chatgtp for my assignments unethical

Yes. All AI requires the theft of copyrighted and private material from everyday people, to artists and authors and hobbyists. That includes the scraping of fanfiction on this site and others. Giving chatgpt one prompt uses up 13 ml of water, one of our most crucial finite resources. Chatgpt and others of its kind use up 10x more power than a normal google search. It also means that by outsourcing your work to a bot, you are depriving yourself of the learning you're paying for, and its making all of us stupider as a result. There is literally no up side or longevity for AI. It is unethical, and is destroying our environment in the middle of a climate crisis and everyone who uses it should not only stop, but feel ashamed for participating in the theft of people's work.

#no ai writing #no ai art #no ai

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jcmarchi · 2 months ago

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Impact and innovation of AI in energy use with James Chalmers

New Post has been published on https://thedigitalinsider.com/impact-and-innovation-of-ai-in-energy-use-with-james-chalmers/

Impact and innovation of AI in energy use with James Chalmers

In the very first episode of our monhtly Explainable AI podcas, hosts Paul Anthony Claxton and Rohan Hall sat down with James Chalmers, Chief Revenue Officer of Novo Power, to discuss one of the most pressing issues in AI today: energy consumption and its environmental impact.

Together, they explored how AI’s rapid expansion is placing significant demands on global power infrastructures and what leaders in the tech industry are doing to address this.

The conversation covered various important topics, from the unique power demands of generative AI models to potential solutions like neuromorphic computing and waste heat recapture. If you’re interested in how AI shapes business and global energy policies, this episode is a must-listen.

Why this conversation matters for the future of AI

The rise of AI, especially generative models, isn’t just advancing technology; it’s consuming power at an unprecedented rate. Understanding these impacts is crucial for AI enthusiasts who want to see AI development continue sustainably and ethically.

As James explains, AI’s current reliance on massive datasets and intensive computational power has given it the fastest-growing energy footprint of any technology in history. For those working in AI, understanding how to manage these demands can be a significant asset in building future-forward solutions.

Main takeaways

AI’s power consumption problem: Generative AI models, which require vast amounts of energy for training and generation, consume ten times more power than traditional search engines.

Waste heat utilization: Nearly all power in data centers is lost as waste heat. Solutions like those at Novo Power are exploring how to recycle this energy.

Neuromorphic computing: This emerging technology, inspired by human neural networks, promises more energy-efficient AI processing.

Shift to responsible use: AI can help businesses address inefficiencies, but organizations need to integrate AI where it truly supports business goals rather than simply following trends.

Educational imperative: For AI to reach its potential without causing environmental strain, a broader understanding of its capabilities, impacts, and sustainable use is essential.

Meet James Chalmers

James Chalmers is a seasoned executive and strategist with extensive international experience guiding ventures through fundraising, product development, commercialization, and growth.

As the Founder and Managing Partner at BaseCamp, he has reshaped traditional engagement models between startups, service providers, and investors, emphasizing a unique approach to creating long-term value through differentiation.

Rather than merely enhancing existing processes, James champions transformative strategies that set companies apart, strongly emphasizing sustainable development.

Numerous accolades validate his work, including recognition from Forbes and Inc. Magazine as a leader of one of the Fastest-Growing and Most Innovative Companies, as well as B Corporation’s Best for The World and MedTech World’s Best Consultancy Services.

He’s also a LinkedIn ‘Top Voice’ on Product Development, Entrepreneurship, and Sustainable Development, reflecting his ability to drive substantial and sustainable growth through innovation and sound business fundamentals.

At BaseCamp, James applies his executive expertise to provide hands-on advisory services in fundraising, product development, commercialization, and executive strategy.

His commitment extends beyond addressing immediate business challenges; he prioritizes building competency and capacity within each startup he advises. Focused on sustainability, his work is dedicated to supporting companies that address one or more of the United Nations’ 17 Sustainable Development Goals through AI, DeepTech, or Platform Technologies.

About the hosts:

Paul Anthony Claxton – Q1 Velocity Venture Capital | LinkedIn

www.paulclaxton.io – am a Managing General Partner at Q1 Velocity Venture Capital… · Experience: Q1 Velocity Venture Capital · Education: Harvard Extension School · Location: Beverly Hills · 500+ connections on LinkedIn. View Paul Anthony Claxton’s profile on LinkedIn, a professional community of 1 billion members.

Rohan Hall – Code Genie AI | LinkedIn

Are you ready to transform your business using the power of AI? With over 30 years of… · Experience: Code Genie AI · Location: Los Angeles Metropolitan Area · 500+ connections on LinkedIn. View Rohan Hall’s profile on LinkedIn, a professional community of 1 billion members.

Like what you see? Then check out tonnes more.

From exclusive content by industry experts and an ever-increasing bank of real world use cases, to 80+ deep-dive summit presentations, our membership plans are packed with awesome AI resources.

Subscribe now

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