2024 UPDATE!! Altman: prepare for AI to be "uncomfortable" 33% US jobs gone..SKYNET, AI medical advances? BASIC INCOME? 1st AI MOVIE! AI MAYOR!!

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‘Your Biggest Nightmare’​

Image

Sam Altman, in a blue suit and patterned tie, speaking into a microphone during a hearing.


Sam Altman, the chief executive of OpenAI, testified before a Senate subcommittee in May. In recent months, OpenAI’s ChatGPT chatbot has made its way into courtrooms.Credit...Win McNamee/Getty Images

This spring, lawmakers in Washington hauled forward the makers of A.I. tools to begin discussing the risks posed by the products they’ve unleashed.


“Let me ask you what your biggest nightmare is,” Senator Richard Blumenthal, Democrat of Connecticut, asked OpenAI’s chief executive, Sam Altman, after sharing that his own greatest fear was job loss.

“There will be an impact on jobs,” said Mr. Altman, whose company developed ChatGPT.

That reality has already become clear. The British telecommunications company BT Group announced in May that it would cut up to 55,000 jobs by 2030 as it increasingly relied on A.I. The chief executive of IBM said A.I. would affect certain clerical jobs in the company, eliminating the need for up to 30 percent of some roles, while creating new ones.

AT&T has begun integrating A.I. into many parts of its customer service work, including routing customers to agents, offering suggestions for technical solutions during customer calls and producing transcripts.

The company said all of these uses were intended to create a better experience for customers and workers. “We’re really trying to focus on using A.I. to augment and assist our employees,” said Nicole Rafferty, who leads AT&T’s customer care operation and works with staff members nationwide.

“We’re always going to need in-person engagement to solve those complex customer situations,” Ms. Rafferty added. “That’s why we’re so focused on building A.I. that supports our employees.”


Economists studying A.I. have argued that it most likely won’t prompt sudden widespread layoffs. Instead, it could gradually eliminate the need for humans to do certain tasks — and make the remaining work more challenging.

“The tasks left to call center workers are the most complex ones, and customers are frustrated,” said Virginia Doellgast, a professor at the New York State School of Industrial and Labor Relations at Cornell.

Ms. Sherrod has always enjoyed getting to know her customers. She said she took about 20 calls a day, from 9:30 to 6:30. While she’s resolving technical issues, she listens to why people are calling in, and she hears from customers who just bought new homes, were married or lost family members.

“It’s sort of like you’re a therapist,” she said. “They tell you their life stories.”

She is already finding her job growing more challenging with A.I. The automated technology has a hard time understanding Ms. Sherrod’s drawl, she said, so the transcripts from her calls are full of mistakes. Once the technology is no longer in a pilot phase, she won’t be able to make corrections. (AT&T said it was refining the A.I. products it used to prevent these kinds of errors.)

It seems likely, to Ms. Sherrod, that at some point as the work gets more efficient, the company won’t need quite as many humans answering calls in its centers.


Ms. Sherrod wonders, too: Doesn’t the company trust her? For two consecutive years, she won AT&T’s Summit Award, placing her in the top 3 percent of the company’s customer service representatives nationally. Her name was projected on the call center’s wall.

“They gave everyone a little gift bag with a trophy,” Ms. Sherrod recalled. “That meant a lot to me.”

‘Look at My Life’​

Image

Ms. Sherrod, in a blue patterned dress, with her arms folded while standing in front of a bookcase and file cabinets. A sign behind her reads, “I may work at home, but I am not alone” and “CWA strong.”

Ms. Sherrod at the Communications Workers of America’s regional labor union office where she is a vice president.Credit...Bryan Tarnowski for The New York Times


As companies like AT&T embrace A.I., experts are floating proposals meant to protect workers. There’s the possibility of training programs helping people make the transition to new jobs, or a displacement tax levied on employers when a worker’s job is automated but the person is not retrained.

Labor unions are wading into these battles. In Hollywood, the unions representing actors and television writers have fought to limit the use of A.I. in script writing and production.


Just 6 percent of the country’s private-sector workers are represented by unions. Ms. Sherrod is one, and she has begun fighting her company for more information about its A.I. plans, sitting in her union hall nine miles from the call center, where she works under a Norman Rockwell painting of a wireline technician.

For years, Ms. Sherrod’s demands on behalf of the union have been rote. As a steward, she typically asked the company to reduce penalties for colleagues who got in trouble.

But for the first time, this summer, she feels that she is taking up an issue that will affect workers beyond AT&T. She recently asked her union to establish a task force focused on A.I.

In late May, Ms. Sherrod was invited by the Communications Workers of America to travel to Washington, where she and dozens of other workers met with the White House’s Office of Public Engagement to share their experience with A.I.

A warehouse worker described being monitored with A.I. that tracked how speedily he moved packages, creating pressure for him to skip breaks. A delivery driver said automated surveillance technologies were being used to monitor workers and look for potential disciplinary actions, even though their records weren’t reliable. Ms. Sherrod described how the A.I. in her call center created inaccurate summaries of her work.


Her son, Malik, was astonished to hear that his mother was headed to the White House. “When my dad told me about it, at first I said, ‘You’re lying,’” he said with a laugh.
Image

Ms. Sherrod sitting on a couch with her son, Malik, who’s resting his head on her shoulder.

With her pay and commissions, Ms. Sherrod has been able to buy a home and give her son, Malik, the childhood she never had.Credit...Bryan Tarnowski for The New York Times

Ms. Sherrod sometimes feels that her life presents an argument for a type of job that one day might no longer exist.

With her pay and commissions, she has been able to buy a home. She lives on a sunny street full of families, some of whom work in fields like nursing and accounting. She is down the road from a softball field and playground. On the weekends, her neighbors gather for cookouts. The adults eat snowballs, while the children play basketball and set up splash pads.

Ms. Sherrod takes pride in buying Malik anything he asks for. She wants to give him the childhood she never had.

“Call center work — it’s life-changing,” she said. “Look at my life. Will all that be taken away from me?”
 
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‘It’s already way beyond what humans can do’: will AI wipe out architects?​


Oliver Wainwright
@ollywainwright
Mon 7 Aug 2023 00.00 EDT

Architecture from beyond the grave … a building created by AI in the style of Le Corbusier.

Architecture from beyond the grave … a building created by AI in the style of Le Corbusier. Photograph: Courtesy: Dr Erdem Yildirim
Architecture

It’s revolutionising building – but could AI kill off an entire profession? Perhaps not, finds our writer, as he enters a world where Corbusier-style marvels and 500-room hotels are just a click away



A handful of little green blocks flashes up on the screen, filling a building site with a neat grid of uniform cubes. One second they form rows of towers, next they morph into low-rise courtyards, then they flip back into long slender slabs, before cycling through hundreds of other iterations, in a hypnotic high-speed ballet of bristling buildings.

I watch this while on a Zoom call with Wanyu He, an architect based in Shenzhen, China, and the founder of XKool, an artificial intelligence company determined to revolutionise the architecture industry. She freezes the dancing blocks and zooms in, revealing a layout of hotel rooms that fidget and reorder themselves as the building swells and contracts. Corridors switch sides, furniture dances to and fro. Another click and an invisible world of pipes and wires appears, a matrix of services bending and splicing in mesmerising unison, the location of lighting, plug sockets and switches automatically optimised. One further click and the construction drawings pop up, along with a cost breakdown and components list. The entire plan is ready to be sent to the factory to be built.



I applaud He on what seems to be an impressive theoretical exercise: a 500-room hotel complex designed in minutes with the help of AI. But she looks confused. “Oh,” she says casually, “that’s already been built! It took four and a half months from start to finish.”

‘Fantasy mash-up of sci-fi and art nouveau’ … a creation by Hassan Ragab, using Midjourney.


‘Fantasy mash-up of sci-fi and art nouveau’ … a creation by Hassan Ragab, using Midjourney. Photograph: Hassan Ragab

The promises – and perils – of AI have been gripping the world of architecture and design in recent months, but few have grasped that the revolution is already under way. Image-making tools such as Dall-E, Midjourney and Stable Diffusion have allowed the effortless creation of seductive visions: skyscrapers in the style of Frank Lloyd Wright, fantasy mash-ups of sci-fi and art nouveau, squidgy marshmallow staircases, buildings made of rubbish. It might be entertaining to visualise Gaudí designing kitchen gadgets or Le Corbusier embracing parametricism, but AI is already being deployed to shape the real world – with far-reaching consequences.

“The problem with architects is that we almost entirely focus on images,” says Neil Leach, author of Architecture in the Age of Artificial Intelligence. “But the most revolutionary change is in the less sexy area: the automation of the entire design package, from developing initial options right through to construction. In terms of strategic thinking and real-time analysis, AI is already way beyond what human architects are capable of. This could be the final nail in the coffin of a struggling profession.”

In Leach’s view, XKool is at the bleeding edge of architectural AI. And it’s growing fast: over 50,000 people are already using it in China, and an English version of its image-to-image AI tool, LookX, has just been launched. Wanyu He founded the company in 2016, with others who used to work for OMA, the architecture practice of Rem Koolhaas (hence the company names). They had become disillusioned with what they saw as an outmoded way of working. “It wasn’t how I imagined the future of architecture,” says He, who worked in OMA’s Rotterdam office before moving to China to oversee construction of the Shenzhen Stock Exchange building. “The design and construction processes were so traditional and lacking in innovation.”

She and her colleagues were inspired to launch their startup after witnessing AlphaGo, the first computer program to defeat a human champion at the Chinese board game Go in 2016. “What if we could introduce this intelligence to our way of working with algorithmic design?” she says. “CAD [computer aided design] dates from the 70s. BIM [building information modelling] is from the 90s. Now that we have the power of cloud computing and big data, it’s time for something new.”

XKool aims to provide an all-in-one platform, using AI to assist with everything from generating masterplan layouts, using given parameters such as daylight requirements, space standards and local planning regulations, right down to generating interiors and construction details. It has also developed a tool to transform a 2D image of a building into a 3D model, and turn a given list of room sizes into floor plans. It’s early days and, so far, the results are clunky: the Shenzhen hotel looks very much like it was designed by robots for an army of robot guests.

The Shenzhen Bay International Hotel, designed and built using XKool.


By robots, for robots … the real Shenzhen Bay International Hotel, designed and built using XKool. Photograph: XKool

Some architects are calling for caution – not out of fear for their jobs, but because of what the tech could spawn, and the potential for data being misused. “We have to be careful,” says Martha Tsigkari, head of applied research and development at Foster + Partners in London. “It can be dangerous if you don’t know what data was used to train the model, or if you haven’t classified it properly. Data is everything: if you put garbage in, you’ll get garbage out. The implications for data privacy and intellectual property are huge – is our data secured from other users? Is it being used to retrain these models in the background?”

Tsigkari and her team have been probing the possibilities of machine learning for the last five years, on their own secure servers, using data from the extensive library of Foster projects. One of their first experiments used AI to explore how thermally responsive laminate materials could be used in facades, changing their shape to respond to temperature. “Depending on the layering of the laminate, you could have a different deformation under different heat conditions,” says Sherif Tarabishy, Foster + Partners’ design systems analyst. “Imagine a facade that could passively deform, creating louvres or overhangs to shade different parts of a building according to the temperature.”

Stairway to softness … a design by Ricardo Orts using Ulises Studio.


Stairway to softness … a design by Ricardo Orts using Ulises Studio. Photograph: Ulises (@ulises.studio)

Although the actual science needed to make such things possible is a long way off, AI does enable the kind of calculations and predictive modelling that was impossibly time-consuming before. Tsigkari’s team has also developed a simulation engine that allows realtime analysis of floor plans – showing how well connected one part of a building is to another – giving designers instant feedback on the implications of moving a wall or piece of furniture. Tarabishy shows me a throbbing colour-coded diagram of an office, full of meeting rooms and desks: this weather map of swirling, pulsing colours changes as the AI jiggles the rooms into the optimum arrangement. It’s impressive, but it also suggests a kind of uber-Taylorism, everything calibrated for ultimate efficiency. Could the overuse of AI squeeze out the delight of dawdling, the charms of the leftover and unplanned?

While few firms can boast an in-house R&D lab like Foster’s, architects across the spectrum are adopting AI tools in different ways. One told me they now regularly use ChatGPT to summarise local planning policies and compare the performance of different materials for, say, insulation. “It’s the kind of task you would have given a junior to do,” they say. “It’s not perfect, but it makes fewer mistakes than someone who hasn’t written a specification before.”

Others say their teams regularly use Midjourney to help brainstorm ideas during the concept phase. “We had a client wanting to build mosques in Abu Dhabi,” one architect told me. “I could quickly generate a range of options to show them, to get the conversation going. It’s like an instant mood board.”
 

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He said: "That momentum is surely gathering pace in the age of generative AI, which we believe presents a remarkable opportunity to create a new stream of revenues, while allowing us to reduce costs across the business."

"GENERATIVE AI"


News Corp Australia is producing 3,000 articles a week using generative artificial intelligence, executive chair Michael Miller has revealed.

Miller told the World News Media Congress in Taipei that a team of four staff use the technology to generate thousands of local stories each week on weather, fuel prices and traffic conditions, according to a report in Mediaweek.

@Rhakim
 

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"GENERATIVE AI"




@Rhakim

theres nothing stopping any decent programmer from offering the same predictable "news" and competing with them.
 

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theres nothing stopping any decent programmer from offering the same predictable "news" and competing with them.

that's like saying "there's nothing stopping any decent programmer from offering the same services as google."
 

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If it can be designed on a computer, it can be built by robots​

Powerful new software rewrites the rule of mass production​

20230812_STD001.jpg
image: shira inbar
Aug 9th 2023 | FORT MILL, SOUTH CAROLINA, AND DEVENS, MASSACHUSETTS

In a factory on the Carolinas’ border, Stanley Black & Decker is assembling cordless electric drills. As part-finished drills travel in boxes along a conveyor belt, a robotic arm photographs and scans them for defects. Another robot nestles electric motors into the drills’ casings. A third one places and tightens screws. A single piece of software oversees the entire production line, which is capable of pumping out 130 cordless power tools every hour under the supervision of just seven humans. The assembly line it replaced in China needed up to 40 workers and rarely produced more than 100 an hour.

“Thirty years from now we will laugh at our generation of humans, putting products together by hand,” predicts Lior Susan, the boss of Bright Machines, a San Francisco-based company that installed the plant’s software. It is not that the design of the electric drills or the various steps involved in making them have changed. Rather, it is the way the automated machines doing the work are being driven by instructions that have been encoded into software having been in effect copied from the brains of Chinese factory workers, who mostly did the job manually.

Making things this way resembles a model used by the semiconductor industry, where chips are designed using software that directly links to the automated hardware which fabricates them. For the Fort Mill plant, and other firms starting to employ such software-defined manufacturing systems, it promises to transform the factory of the future by allowing more-sophisticated products to be designed and put into production more quickly. All of which promises big cost savings.

Make this please​

To understand why, consider a simplified version of how a new power tool is made. A team of designers come up with a fresh feature, say a longer-lasting battery. They map out every element of the new product, from the battery compartment to the circuitry, that needs to be changed as a result. It is complex work, not least because a small change to one component can have a big impact on another, and so on.

The design is then “thrown over the wall” to the people responsible for making it. Sometimes that is a third-party factory, often in China. Engineers, designers and production staff exchange information and meet up, constantly tweaking the design in response to the various successes or failures involved in making a series of prototypes. Little things, such as a screw than cannot be tightened correctly because it is hard to reach with an electric screwdriver, might result in a return to the drawing board—which nowadays is mostly a computer-aided-design (cad) program.

Eventually, all the kinks are ironed out (hopefully) and the new product is ready for production. The finer details of how all this was achieved, however, are likely to remain locked up in the minds of the workers assembling the prototypes. Humans are, after all, incredibly flexible and often come up with workarounds.

This process has been employed for decades, yet is inherently uncertain and messy. Designers cannot predict with any confidence what things the factory can or cannot easily accommodate. As a consequence, the design team may purposely leave some features a bit vague, and be put off innovative ideas for fear of being told it cannot be made or is impossibly costly.

When the hardware is controlled by software, rather than by humans, all this changes. Designers can dream up new products with a far greater certainty that they are manufacturable. This is because the constraints of the production line—even fiddly details like the positioning of screws—are encoded in their cad programs. Those programs, in turn, are directly connected to the software which controls the machines in the factory. So, if a design works in a digital simulation, there is a good chance it will also “run” on the production line.

An illustration of two robot hands with a conveyor belt and laptop between them.

This tight integration of manufacturing hardware and cad software has been a boon in semiconductor manufacturing, where vast machines etch circuits into silicon just a few nanometres (billionths of a metre) wide. Chip designers with firms such as Apple, Nvidia or Qualcomm use specialised programs, largely produced by two companies, Cadence and Synopsys, to sketch out circuits. The design files are then sent directly to silicon foundries, such as tsmc, in Taiwan, for production.

“Until the advent of those tools, people were laying out integrated circuits by hand,” says Willy Shih of Harvard Business School. Mr Shih imagines the impossibility of attempting to do that today with, for instance, Apple’s m1 chip, which contains 114bn transistors. Producing such complexity is only possible in a system where software allows humans to ignore the detail and focus on function.

Stanley Black & Decker has not yet turned its cad tools loose on Bright Machines’ system to design new products. But the idea is that they soon will. “What Cadence and Synopsys did to semiconductors is what we will do to product design,” says Bright Machines’ Mr Susan.

Layer by layer​

Some companies have already started designing products this way. VulcanForms is a foundry, but one that makes metal components rather than chips. It operates out of a former aircraft hangar in northern Massachusetts, where its vast computer-controlled machines focus 100,000 watts of invisible laser light onto a bed of powdered metal. The powder melts and fuses into intricate patterns, layer by layer, until a component with dimensions specified to within a hundredth of a centimetre emerges. It could be part of the engine in a military drone, or a perfectly formed hip-replacement joint. This is a type of additive manufacturing, more popularly known as 3d-printing. VulcanForms’ machines are driven by cad software and can produce any metal component with a diameter up to about half a metre.

“When I became familiar with what VulcanForms was doing, I could see predictable patterns that mirrored some of the learning with semiconductors,” says Ray Stata, the founder of Analog Devices, an American chipmaker, and a member of the foundry’s board. In chipmaking, he says, the software linking designer and manufacturer has produced huge gains in efficiency and economies of scale.

VulcanForms uses software made by nTopology. This lets people without the skills required to operate lasers, to design objects for production by the foundry. It can result in components with previously unmatched levels of performance, because they can be produced as complex geometric structures which are impossible to manufacture any other way, says John Hart, chief technology officer of VulcanForms. Objects can be created at high volumes, such as forging 1,000 spinal implants from a single powder bed. With additive manufacturing, products can also be produced in one go, as single components, rather than being assembled from individual parts. This reduces the amount of material required as the parts tend to be lighter. It also cuts down on assembly costs.

Software-defined manufacturing has an impact on some of the big trade and political challenges faced by companies. For firms that are increasingly uncomfortable with relying on Chinese manufacturers, it can make reshoring production a more viable option. Mr Susan puts it in martial terms: “Manufacturing is a weapon. When we give design files to China, we give the source code of that weapon to our enemy.”

There will be implications for manufacturing jobs. Although automation usually means a reduction in the number of people assembling things on the shop floor, it also creates some jobs. Technicians are required to program and maintain production systems, and in offices successful companies are likely to boost the numbers working in design, marketing and sales. These jobs, though, require different skills so retraining will be necessary.

Mr Shih also notes that factories themselves, not just the machine tools and processes within them, are coming under the thrall of software. He cites Tecnomatix, a subsidiary of Siemens, a German industrial giant, whose software lets designers lay out an entire factory so that the making of new products can be simulated in a virtual environment, known as a digital twin, before manufacture begins in its physical counterpart.

If the future of manufacturing is following semiconductors, then there is still some way to go. Producing mechanical objects is not the same as etching elaborate circuits that have no moving parts. For a start, things are far less standardised, with components having all sorts of end uses. “We’re just at the beginning with mechanical structures,” says Mr Stata. “The whole process of putting materials together in an additive method is in its very early stages. The flexibility and possibility that opens up is mind-boggling.”

Yet some of the implications are becoming apparent. Products could reach a level of performance and precision which is simply unachievable when their production is limited by human hands. Laying out a factory floor in two dimensions to accommodate human workers will become a thing of the past. Factories designed by software will be denser, much more complex three-dimensional places, full of clusters of highly productive, highly automated machinery.

These factories of the future may be almost deserted places, attended to by a handful of technicians. But with software also taking care of the intricacies of production, they will be easier to use by people developing and designing new products. That should free their imaginations to soar to new levels.
 

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that's like saying "there's nothing stopping any decent programmer from offering the same services as google."

nah google indexes the web, stores that index on petabytes of server storage and has a good search algorithm.

a decent programmer can absolutely use chatgpt API or other AI model API and plug in information from the national weather service or any weather service API to deliver a news report in natural language. the same can be repeated for traffic reports and fuel prices.

is a ai summary newsletter
 

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AFP

Rise of the machines: AI spells danger for Hollywood stunt workers​

Andrew MARSZAL
Fri, August 11, 2023 at 9:47 PM EDT·4 min read
12

Students attend a stunt training session at the Tempest Academy in Chatsworth, California, on August 10, 2023 (VALERIE MACON)

Students attend a stunt training session at the Tempest Academy in Chatsworth, California, on August 10, 2023 (VALERIE MACON)

Hollywood's striking actors fear that artificial intelligence is coming for their jobs -- but for many stunt performers, that dystopian danger is already a reality.

From "Game of Thrones" to the latest Marvel superhero movies, cost-slashing studios have long used computer-generated background figures to reduce the number of actors needed for battle scenes.

Now, the rise of AI means cheaper and more powerful techniques are being explored to create highly elaborate action sequences such as car chases and shootouts -- without those pesky (and expensive) humans.

Stunt work, a time-honored Hollywood tradition that has spanned from silent epics through to Tom Cruise's latest "Mission Impossible," is at risk of rapidly shrinking.

"The technology is exponentially getting faster and better," said Freddy Bouciegues, stunt coordinator for movies like "Free Guy" and "Terminator: Dark Fate."

"It's really a scary time right now."

Studios are already requiring stunt and background performers to take part in high-tech 3D "body scans" on set, often without explaining how or when the images will be used.

Advancements in AI mean these likenesses could be used to create detailed, eerily realistic "digital replicas," which can perform any action or speak any dialogue its creators wish.

Bouciegues fears producers could use these virtual avatars to replace "nondescript" stunt performers -- such as those playing pedestrians leaping out of the way of a car chase.

"There could be a world where they said, 'No, we don't want to bring these 10 guys in... we'll just add them in later via effects and AI. Now those guys are out of the job."

But according to director Neill Blomkamp, whose new film "Gran Turismo" hits theaters August 25, even that scenario only scratches the surface.

The role AI will soon play in generating images from scratch is "hard to compute," he told AFP.

"Gran Turismo" primarily uses stunt performers driving real cars on actual racetracks, with some computer-generated effects added on top for one particularly complex and dangerous scene.

But Blomkamp predicts that, in as soon as six or 12 months, AI will reach a point where it can generate photo-realistic footage like high-speed crashes based on a director's instructions alone.

At that point, "you take all of your CG (computer graphics) and VFX (visual effects) computers and throw them out the window, and you get rid of stunts, and you get rid of cameras, and you don't go to the racetrack," he told AFP.

"It's that different."

- The human element -

The lack of guarantees over the future use of AI is one of the major factors at stake in the ongoing strike by the Screen Actors Guild (SAG-AFTRA) and Hollywood's writers, who have been on the picket lines 100 days.

SAG-AFTRA last month warned that studios intend to create realistic digital replicas of performers, to use "for the rest of eternity, in any project they want" -- all for the payment of one day's work.

The studios dispute this, and say they have offered rules including informed consent and compensation.

But as well as the potential implications for thousands of lost jobs, Bouciegues warns that no matter how good the technology has become, "the audience can still tell" when the wool is being pulled over their eyes by computer-generated VFX.

Even if AI can perfectly replicate a battle, explosion or crash, it cannot supplant the human element that is vital to any successful action film, he said, pointing to Cruise's recent "Top Gun" and "Mission Impossible" sequels.

"He uses real stunt people, and he does real stunts, and you can see it on the screen. For me, I feel like it subconsciously affects the viewer," said Bouciegues.

Current AI technology still gives "slightly unpredictable results," agreed Blomkamp, who began his career in VFX, and directed Oscar-nominated "District 9."

"But it's coming... It's going to fundamentally change society, let alone Hollywood. The world is going to be different."

For stunt workers like Bouciegues, the best outcome now is to blend the use of human performers with VFX and AI to pull off sequences that would be too dangerous with old-fashioned techniques alone.

"I don't think this job will ever just cease to be," said Bouciegues, of stunt work. "It just definitely is going to get smaller and more precise."

But even that is a sobering reality for stunt performers who are currently standing on picket lines outside Hollywood studios.

"Every stunt guy is the alpha male type, and everybody wants to say, 'Oh, we're good,'" said Bouciegues.

"But I personally have spoken to a lot of people that are freaked out and nervous."
 

GnauzBookOfRhymes

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nah google indexes the web, stores that index on petabytes of server storage and has a good search algorithm.

a decent programmer can absolutely use chatgpt API or other AI model API and plug in information from the national weather service or any weather service API to deliver a news report in natural language. the same can be repeated for traffic reports and fuel prices.

is a ai summary newsletter

Absolutely and I'm sure some version of this is already happening. My point is that having the resources of a News Corp is the difference. They can flood the market with their content, make deals with advertisers, content providers etc that a single programmer or even a relatively well funded startup couldn't finance etc. Imagine a large city wanted to enter into a partnership/contract with a news organization focusing on open government. I use this as an example bc there is in fact already a small cottage industry of sorts doing just that on Twitter. These people attend and report on all of the various random committee hearings that most people don't even know exist. A News Corp (or ABC/NBC/CNN) version would probably be more popular than a small startup bc for instance their app/newsletter etc might provide that service for every major city in a region (or particular industry) rather than just one and the politicians will always prefer speaking/responding to questions from larger outlets. Scale matters.
 
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