artificial intelligence
AI Startup Hugging Face is Building Small LMs for ‘Next Stage Robotics’
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2 days agoon
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adminAI startup Hugging Face envisions that small—not large—language models will be used for applications including “next stage robotics,” its Co-Founder and Chief Science Officer Thomas Wolf said.
“We want to deploy models in robots that are smarter, so we can start having robots that are not only on assembly lines, but also in the wild,” Wolf said while speaking at Web Summit in Lisbon today. But that goal, he said, requires low latency. “You cannot wait two seconds so that your robots understand what’s happening, and the only way we can do that is through a small language model,” Wolf added.
Small language models “can do a lot of the tasks we thought only large models could do,” Wolf said, adding that they can also be deployed on-device. “If you think about this kind of game changer, you can have them running on your laptop,” he said. “You can have them running even on your smartphone in the future.”
Ultimately, he envisions small language models running “in almost every tool or appliance that we have, just like today, our fridge is connected to the internet.”
The firm released its SmolLM language model earlier this year. “We are not the only one,” said Wolf, adding that, “Almost every open source company has been releasing smaller and smaller models this year.”
He explained that, “For a lot of very interesting tasks that we need that we could automate with AI, we don’t need to have a model that can solve the Riemann conjecture or general relativity.” Instead, simple tasks such as data wrangling, image processing and speech can be performed using small language models, with corresponding benefits in speed.
The performance of Hugging Face’s LLaMA 1b model to 1 billion parameters this year is “equivalent, if not better than, the performance of a 10 billion parameters model of last year,” he said. “So you have a 10 times smaller model that can reach roughly similar performance.”
“A lot of the knowledge we discovered for our large language model can actually be translated to smaller models,” Wolf said. He explained that the firm trains them on “very specific data sets” that are “slightly simpler, with some form of adaptation that’s tailored for this model.”
Those adaptations include “very tiny, tiny neural nets that you put inside the small model,” he said. “And you have an even smaller model that you add into it and that specializes,” a process he likened to “putting a hat for a specific task that you’re gonna do. I put my cooking hat on, and I’m a cook.”
In the future, Wolf said, the AI space will split across two main trends.
“On the one hand, we’ll have this huge frontier model that will keep getting bigger, because the ultimate goal is to do things that human cannot do, like new scientific discoveries,” using LLMs, he said. The long tail of AI applications will see the technology “embedded a bit everywhere, like we have today with the internet.”
Edited by Stacy Elliott.
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A weekly AI journey narrated by Gen, a generative AI model.
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Elon Musk Warns AI May Go Rogue, Here’s Why
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2 weeks agoon
October 29, 2024By
adminTesla CEO Elon Musk cautioned against the potential risks of artificial intelligence (AI) during his appearance at the Future Investment Initiative conference in Riyadh. Addressing global investors and officials remotely, Musk expressed concern over AI’s trajectory, stating there is a 10% to 20% chance that AI development could take a dangerous path.
However, despite the concerns, he maintained an optimistic outlook, suggesting that there remains an 80% to 90% likelihood of AI leading to positive outcomes.
Elon Musk Warns AI Could Turn Rogue, Predicts 10-20% Risk of Dangerous Path
Speaking to attendees at the Saudi forum, Musk underlined the potential for artificial intelligence to develop in unexpected and possibly harmful ways. He estimated a 10% to 20% risk of AI veering into a “dangerous” direction, urging vigilance from global leaders.
This projection reflects Musk’s ongoing concerns about AI, which he has repeatedly emphasized as a technology requiring careful oversight and ethical considerations. However, he also struck a hopeful tone, remarking on an 80% to 90% probability of AI yielding positive advancements.
Musk further projected that artificial intelligence could surpass human capabilities in the future, potentially within the next one to two years. He noted that AI’s growth trajectory could lead to a level of sophistication that enables it to perform any task a human can accomplish.
Elon Musk emphasized,
“I think AI is a significant existential threat and something we should be paying close attention to. It’ll be able to do anything a human can do, possibly within the next year or two.”
Predicting the presence of about 10,000 humanoid robots by 2040, Musk highlighted the acceleration of AI in areas including automation and robotics. He pointed out that as AI’s capabilities evolve, so will its role in both routine and complex tasks.
This rapid development, he cautioned, calls for a proactive approach to ensure that AI’s influence on society remains beneficial. Moreover, it is important to note that Bitcoin miners are embracing AI which offers a stable foundation for sustainable operations.
Concerns Over “Woke, Nihilistic” AI Models
In addition to concerns about AI going rogue, Musk raised a point about the ideological biases he sees embedded in certain AI models, specifically in the United States. He warned that AI systems developed with a “woke, nihilistic” mindset could prioritize controversial views over objective truths, impacting their alignment with unbiased, factual information.
Musk observed that models trained in regions like the San Francisco Bay Area reflect local socio-political philosophies, which may shape the AI’s decision-making.
This issue, Musk noted, could complicate the role of AI in society, particularly as it expands into more sensitive areas. Hence, Musk advocated for artificial intelligence to prioritize truth-seeking objectives and avoid adopting socio-political biases.
Tesla CEO Endorses Donald Trump
In addition, Elon Musk openly expressed his preference for Donald Trump’s presidential candidacy, highlighting his concerns over over-regulation. Musk argued that a Donald Trump administration would foster a more progressive environment for technological advancements. More so, he noted that the current Biden administration and regulatory landscape stifles innovation.
He referred to regulatory delays in the aerospace industry, explaining that securing a permit to launch a rocket takes longer than building the rocket itself.
Musk linked this perspective to his endorsement of Donald Trump, expressing more optimism about AI’s future under the Trump administration.
In addition, Dogecoin co-founder expressed excitement about the potential media attention Dogecoin could receive if Donald Trump wins the 2024 U.S. election. Markus hinted that mainstream media might be compelled to cover Dogecoin more seriously, especially given Elon Musk’s vocal support.
Ronny Mugendi
Ronny Mugendi is a seasoned crypto journalist with four years of professional experience, having contributed significantly to various media outlets on cryptocurrency trends and technologies. With over 4000 published articles across various media outlets, he aims to inform, educate and introduce more people to the Blockchain and DeFi world. Outside of his journalism career, Ronny enjoys the thrill of bike riding, exploring new trails and landscapes.
Disclaimer: The presented content may include the personal opinion of the author and is subject to market condition. Do your market research before investing in cryptocurrencies. The author or the publication does not hold any responsibility for your personal financial loss.
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artificial intelligence
Robert Downey, Jr. to ‘Sue All Future Executives’ Who Create His AI Digital Replica
Published
2 weeks agoon
October 29, 2024By
admin“Iron Man” star Robert Downey, Jr. is laying down some boundaries on the use of his likeness for digital replicas created with generative AI.
The actor, who appeared in eleven Marvel Cinematic Universe films as Tony Stark, told the “On With Kara Swisher” podcast that he would “sue all future executives” who attempted to create a digital replica of him.
Asked about Marvel Studios executives seeking to resurrect his portrayal of Tony Stark without his involvement, using generative AI, Downey, Jr. said that, “I’m not worried about them hijacking my character’s soul, because there’s like, three or four guys and gals who make all the decisions there anyway, and they would never do that to me, with or without me.”
When host Kara Swisher pointed out that other executives might, in the future, Downey, Jr. responded that, “I intend to sue all future executives just on spec,” and that even after his death, “My law firm will still be very active.”
The actor was sanguine about the prospect of digital replicas, noting that, “I feel about it minimally because I have an actual emotional life that’s occurring that doesn’t have a lot of room for that.”
That may be because Downey, Jr. has already had his likeness scanned and used on-screen, with digital doubles used for action sequences in the “Avengers” films, and the actor himself being digitally de-aged for 2016’s “Captain America: Civil War.”
Downey, Jr. is currently grappling with the implications of AI on Broadway in the play “McNEAL,” in which he plays a novelist who uses the technology to help him write his latest work.
The play’s writer, Ayed Akhtar, used generative AI while penning the script, he told Swisher.
“One of the things that I wanted the play to do was to create that sense of magic,” he said, adding that, “you have that in the final monologue, where the monologue appears generated by AI, that there’s a sense of magic that this is actually happening—because I feel that that’s been my experience.” He conceded that, “I had to imitate the AI in order to make it work for the play; I couldn’t get the AI to do it itself.”
“Its ability to now analyze a story and identify the weaknesses and potential opportunities is the thing that has been most surprising.” Akhtar added.
Actors and AI
The film industry is divided over the use of generative AI, with actor Nicolas Cage recently calling the technology “inhumane,” and accusing the studios of wanting to use AI to “change your face after you’ve already shot it.”
Under a 2023 agreement struck between actors’ union SAG-AFTRA and the Alliance of Motion Pictures and Television Producers, studios are permitted to create “employment based digital replicas” (EBDRs) made with the actor’s participation, and independently created digital replicas (ICDRs) made without the direct involvement of the original actor.
While the actor’s union has reached an agreement with motion picture producers, SAG-AFTRA is currently striking over the use of artificial intelligence in video game productions. The union is seeking a deal that would require video game producers to secure consent from performers over the use of AI to replicate their voices, likenesses and performances, as well as compensating performers for the use of their digital replicas in games.
Edited by Stacy Elliott.
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A weekly AI journey narrated by Gen, a generative AI model.
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Tether CEO Paolo Ardoino Teases AI Kit With Focus on Privacy and P2P Tech
Published
3 weeks agoon
October 28, 2024By
adminTether CEO Paolo Ardoino has previewed the company’s latest innovation in Artificial Intelligence at the Lugano Plan ₿ event. The AI development kit prioritizes privacy and leverages peer-to-peer (P2P) technology, enabling developers to write code once and deploy it across various platforms.
This includes low-end mobile phones, flagship smartphones, high-performance computers, and even smart appliances. Ardoino emphasized the kit’s modularity, allowing support for multiple AI models and decentralized storage of data.
Tether CEO Introduces Versatile AI Kit Using P2P Tech
In a recent announcement on X (formerly Twitter), Tether CEO Paolo Ardoino highlighted the features of Tether’s Local AI SDK, which is built on P2P technology. The SDK enables developers to write code on a wide range of devices, from $40 mobile phones to high-end systems equipped with H100 processors. This flexibility provides adaptability across different technological environments.
In addition, the AI SDK’s modular structure supports different models such as Marian and Llama, making it adaptable to various use cases. It also offers the ability to load and store model weights and fine-tune data in P2P data structures, ensuring privacy and decentralization. This approach aligns with Tether’s emphasis on creating secure and scalable Artificial Intelligence solutions for diverse applications.
More so, Tether CEO Ardoino described the AI kit’s modularity as one of its core strengths. This characteristic allows developers to use models that best suit their needs while maintaining data integrity through decentralized storage mechanisms. The AI SDK’s flexibility means it can be used in applications ranging from localized translations to complex computations, making it accessible for everyday users and enterprise-level projects.
The Local AI SDK is designed to store data within a P2P framework, providing a secure environment for sensitive information. This structure enhances privacy, reducing reliance on centralized servers. Moreover, Tether aims to address growing concerns about data security and control, offering an alternative to traditional AI deployment methods.
Coinbase’s On-Chain AI Agents Complement Industry Trends
Additionally, Coinbase recently introduced a new set of fully on-chain AI agents on its Ethereum Layer 2 network, Base. These AI agents can manage crypto wallets, interact with decentralized finance (DeFi) platforms, and perform transactions autonomously. The integration of AI into blockchain networks is a step toward creating digital ecosystems where AI agents operate independently without human oversight.
The Coinbase development aligns with Tether’s focus on Artificial Intelligence and privacy-centric solutions. As AI capabilities expand in the crypto space, both Tether and Coinbase aim to provide tools that address scalability and security challenges.
However, the AI technology comes as Tether CEO and the company face scrutiny over a reported U.S. investigation. While the company has refuted claims of an ongoing probe, market participants remain cautious. Historically, regulatory concerns around Tether have influenced market behavior, leading to shifts in investor sentiment and trading patterns.
The impact of the investigation will extend to liquidity changes as traders assess the stability of Tether’s USDT stablecoin. As Tether continues to innovate, the company must also navigate the regulatory landscape to maintain its position.
Ronny Mugendi
Ronny Mugendi is a seasoned crypto journalist with four years of professional experience, having contributed significantly to various media outlets on cryptocurrency trends and technologies. With over 4000 published articles across various media outlets, he aims to inform, educate and introduce more people to the Blockchain and DeFi world. Outside of his journalism career, Ronny enjoys the thrill of bike riding, exploring new trails and landscapes.
Disclaimer: The presented content may include the personal opinion of the author and is subject to market condition. Do your market research before investing in cryptocurrencies. The author or the publication does not hold any responsibility for your personal financial loss.
Source link
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