Research Reveals That Lowering Pollution Might Not Compromise Deeper Climate Stability

Improving the quality of the air we breathe is a significant achievement for public health, but paradoxically, it also accelerates global warming. This is highlighted in a recent study published in Communication Earth and the Environment, which connects the recent efforts to clean up air pollution in East Asia to the intensified climate crisis.

In the last 15 years, global warming has surged dramatically, and until now, the reasons behind this surge were unclear to scientists.

Co-author Dr. Robert Allen, a professor of climate studies at the University of California, Riverside, stated:

To address this, a large team of international scientists examined simulations from eight major climate models.

The majority of the accelerated warming seen since 2010 is believed to stem from efforts to reduce air pollution in East Asia.

During this same period, China was implementing a significant air quality policy that led to a reduction of sulfur dioxide emissions by approximately 75%.

Dr. Bjørn Samset, the lead author of the research and a senior researcher at Norway’s International Climate Environmental Studies Centre, explained to BBC Science Focus that pollution has historically been effective in cooling the planet.

“Think back to a day when the air was polluted or hazy,” he mentioned. “Particles in the air block some sunlight from reaching the ground, effectively providing a cooling shade.

“For decades, air pollution has been helping to mitigate some of the warming caused by greenhouse gases.”

Samset elaborated that by eliminating air pollution, as China has done, some of that cooling effect has been lost.

However, simply allowing pollution to persist is not the answer. Allen noted that 2 and methane must both be addressed together.

Before China’s 2010 air quality policy, pollution was a leading cause of premature deaths in the country – Credit: Jack-Enjo Photography via Getty

In addition to cutting greenhouse gases, some scientists have proposed unconventional measures to slow the climate crisis, such as reintroducing artificial pollution into the atmosphere.

Samset explained that this approach “involves releasing particles into the stratosphere or clouds, which can mirror the cooling effects of air pollution without the harmful health impacts.”

To do this, planes could disperse gas from altitudes of 20 km—significantly higher than typical passenger flights.

However, co-author Professor Laura Wilcox, a meteorologist at the University of Reading, advised in BBC Science Focus that such solutions do not resolve the core issues.

“Similar to air pollution, these methods merely mask atmospheric problems without addressing the root causes,” she stated.

“Another viable strategy is to actively remove CO.2,” she added. “This process, known as carbon capture, is already underway but on a limited scale.”

Possible solutions include planting trees and seaweed, developing mechanical trees, and directly capturing CO2 from the air for storage in rock formations.

Nevertheless, the key solution remains to “reduce greenhouse gas emissions primarily by transitioning away from fossil fuels,” said Samset.

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About our experts

Dr. Bjørn Samset is a senior researcher at the Norwegian Centre for International Climate Research. A physicist and science communicator, he possesses extensive expertise in atmospheric science and global climate modeling, focusing on the impacts of air pollution on climate change through climate modeling.

Professor Laura Wilcox is a professor specializing in aerosol climate interactions at the University of Reading, UK. Her research interests encompass the effects of air pollution on climate and the impacts of aviation on the climate.

Source: www.sciencefocus.com

Salesforce evades activist pressure and attains stability in 2023

The company started the year with a lot of turmoil.

That was the case this year It wasn’t a great start for Salesforce, with an unusual level of turmoil and uncertainty surrounding the company. However, as the end of the year approaches, Salesforce’s financial situation turns out to be surprisingly strong, with the stock up more than 96% since the beginning of the year. At the beginning of this year, such an outcome would have been unimaginable.

Bad news even before the new year started when co-CEO Brett Taylor, who many had speculated was being groomed to be Marc Benioff’s successor, suddenly announced he would be leaving the company at the end of November. started flowing. A week later, Slack CEO and co-founder Stewart Butterfield announced he was also stepping down. Losing two key executives within a week would be a huge blow to any company, but it’s likely just the beginning of an onslaught of bad news for the CRM giant.

As the year began, we found that activist investors were quite active within the company. These include Elliott Management, Starboard Value, ValueAct Capital, Inclusive Capital, and Third Point. When activists emerge, they usually have strong opinions about how to “fix” corporations, and this is no exception.

First, we learned that Salesforce was hiring three new board members, which felt like a way to placate activists. Especially because one of them was Mason Morfit, his CEO and chief investment officer at ValueAct, one of his fellow activists.

Activists typically pressure companies to cut costs, which, in corporate parlance, usually means cutting jobs. Sure enough, Salesforce soon announced that it would cut his 10% of its workforce, or 7,000 people, on January 4, 2023. The excuse was that there was over-hiring during the pandemic, which was a fix, but could also have been problematic. Activists are the backbone of cost-cutting.

Either way, reports say the company is having trouble handling layoffs, engineers are under pressure, Benioff preaches about returning to the office after accepting work from home, and what Salesforce says is I started doing it. digital headquarters in the middle of a pandemic. The company’s reputation as a progressive and employee-friendly organization grew. big hit.

Source: techcrunch.com

AI Stability makes its debut in the world of video generation

AI startup it’s not Despite reports of disruption at OpenAI dominating the airwaves, OpenAI appears to be on track to stick to its product roadmap this week.

See also: Stability AI announced this afternoon announced Stable Video Diffusion is an AI model that animates existing images to generate videos. Based on Stability’s existing Stable Diffusion text-to-image model, Stable Video Diffusion is one of the few open source and even commercially available video generation models.

But not for everyone.

Stable Video Diffusion is currently in what Stability describes as a “research preview.” Those wishing to run the model may be interested in Stable Video Diffusion’s intended applications (e.g., “educational or creative tools,” “design or other artistic processes,” etc.) and unintended applications (e.g., “representation of people or events,” etc.). (a representation of fact or truth).

how Other such AI research previews – include Unique stability — Historically, I wouldn’t be surprised if this model started circulating on the dark web in a short period of time. If this were to happen, I would be concerned that Stable Video could be exploited, as it does not appear to have a built-in content filter. Once Stable Diffusion was released, it didn’t take long for actors with questionable intentions to use it to create non-consensual deepfake porn of themselves.

But I digress.

Stable Video Diffusion actually comes in two model formats: SVD and SVD-XT. The first SVD converts a still image into 14 frames of 576 × 1024 video. SVD-XT uses the same architecture but increases the number of frames to 24. Both can produce video at 3 to 30 frames per second.

according to white paper Released at the same time as Stable Video Diffusion, SVD and SVD-XT are first trained on a data set of millions of videos and then “fine-tuned” on a much smaller set of hundreds of thousands to about 1 million clips. it was done. It’s not immediately clear where these videos come from, and the paper suggests that many come from public research datasets, so determining if any are under copyright It’s impossible to do. If so, users of Stability and Stable Video Diffusion could be exposed to legal and ethical challenges over usage rights. Time will tell.

Image credits: Stability AI

Whatever the source of the training data, the models (both SVD and SVD-XT) produce fairly high-quality 4-second clips. My guess is that the selected samples on Stability’s blog perfectly match the output from Meta’s recent video generation model, as well as the AI ​​generation examples we’ve seen from Google and AI startups Runway and AI. There is likely to be. pika research institute.

However, there are limits to the spread of stable videos. Stability has been transparent about this, writing on the model’s “Hug Face” page — of page From where researchers can apply for access to stable video dissemination, models can generate video without movement or slow camera pans, control it with text, render text (at least not readable), It is not possible to consistently generate faces or people “properly.”

Although still in its early stages, Stability says the model is highly extensible and can be adapted to use cases such as generating 360-degree views of objects.

So how does Stable Video Diffusion evolve? Stability offers a variety of models that “build and extend” SVD and SVD-XT, and a “text-” model that “builds and extends” SVD and SVD-XT, as well as a “text- to-video” tool. The ultimate goal appears to be commercialization. Stability rightly points out that Stable Video Diffusion has potential applications in “advertising, education, entertainment, and more.”

Indeed, Stability is poised to be a hit as startup investors ramp up the pressure.

April, Semaphor report Stability AI has run out of cash and spurred an executive hunt to boost sales. According to Forbes, the company repeatedly delayed paying wages and payroll taxes or didn’t pay them at all, and his AWS, which Stability uses for calculations to train its models, gave up access to Stability’s GPU instances. He is threatening to cancel it.

Image credits: Stability AI

Recent stability AI raised The company raised $25 million through convertible debt (i.e., debt that converts into equity), bringing total funding to more than $125 million. However, it has not completed new financing at a higher valuation. The startup was last valued at $1 billion. Stability is said to quadruple in the coming months, even though revenues remain low and burn rates are high.

Recently, stability has taken a new hit. departure Ed Newton-Rex served as VP of audio at the startup for just over a year, and played a key role in launching Stable Audio, Stability’s music generation tool. In his open letter, Newton-Rex cited disagreements over copyright and how copyrighted data should and should not be used to train AI models. He said he retired from Stability.

Source: techcrunch.com

AI-powered tools from Stability AI now generate 3D models using artificial intelligence

Stability AI, the startup behind the text-to-image AI model Stable Diffusion, believes 3D modeling tools could be the next big thing in generative AI.

At least, that’s the message the company is sending with the release of Stable 3D, an AI-powered app that generates textured 3D objects for modeling and game development platforms like Blender, Maya, Unreal Engine, and Unity.

Available in private preview for select customers who contact Stability through their company Inquiry formStable 3D is designed to help non-experts generate “draft-quality” 3D models “in minutes.” blog.

“Creating 3D content is one of the most complex and time-consuming tasks for graphic designers, digital artists, and game developers, as it can take hours or even days to create a moderately complex 3D object. is common,” the company writes. “Stable 3D levels the playing field for independent designers, artists and developers, allowing him to create thousands of 3D objects a day for very little cost.”

All hype aside, Stable 3D seems to be pretty robust and on par with other model generation tools on the market in terms of its functionality. Users can describe the 3D model they want to create in natural language, or upload existing images and illustrations and convert them into a model. Stable 3D outputs 3D models in “.obj” file format. This allows you to edit and manipulate it using most standard 3D modeling tools.

Stability has not disclosed what data it used to train Stable 3D. Given that generative AI models tend to regurgitate training data, this could be a concern for commercial users of the tool in the future. If any of the data is copyrighted and Stability AI did not obtain the appropriate license, Stable 3D customers could unknowingly incorporate works that infringe on intellectual property into their projects. There is a gender.

Stability AI also doesn’t have the best track record when it comes to respecting intellectual property. Earlier this year, Getty and several artists sued the startup for copying and processing millions of images in their possession without proper notice or compensation to train stable spreaders.

Stability AI recently partnered with startup Spawning to honor “opt-out” requests from artists, but it’s unclear whether that partnership covers Stable 3D’s training data. We have reached out to Stability AI for more information and will update this post if we hear back.

Potential legal implications aside, Stable 3D marks Stability AI’s entry into the nascent but already crowded field of AI-powered 3D model generation.

The 3D model was generated with Stability AI’s new Stable 3D tool.

There are 3D object creation platforms like 3DFY and Scenario, as well as startups like Kaedim, Auctoria, Mirage, Luma, and Hypothetic. Even established companies like Autodesk and Nvidia are starting to dip their toe into the field with apps like Get3D, which converts images into 3D models, and ClipForge, which generates models from text descriptions.

It’s also in the meta experimented Uses techniques to generate 3D assets from prompts. OpenAI is no different, releasing Point-E last December. It is an AI that synthesizes 3D models with potential applications in 3D printing, game design, and animation.

Stable 3D appears to be Stability AI’s latest attempt to diversify or pivot in the face of increasing competition from generative AI platforms that create art, such as Midjourney and the aforementioned OpenAI.

April, Semaphor report Stability AI has been found to be draining cash and fueling executive hunts to boost sales. according to According to Forbes, the company repeatedly delayed paying wages and payroll taxes, or didn’t pay them at all, resulting in AWS access to Stability’s GPU instances, which Stability uses for calculations to train its models. He is threatening to cancel the.

Recent stability AI raised The company received $25 million through convertible notes (i.e., debt that converts into equity), bringing its funding to more than $125 million. However, it has not completed new financing at a higher valuation. The startup was last valued at $1 billion. Stability is said to be aiming to quadruple that figure in the coming months, even though revenues remain low.

In what looks like another attempt to differentiate itself and drive sales, Stability AI today announced new features for its online AI-powered photo editing suite. This includes model tweaking features and “Sky Replacers” that allow users to personalize the underlying art generation model. A tool to replace the sky color and beauty in your photos with preset alternatives.

The new tools join Stability AI’s growing portfolio of AI-powered products, including music generation suite Stable Audio, doodle-making app Stable Doodle, and chatbots like ChatGPT.

Source: techcrunch.com