james cameron
The Avatar Game Is So Good, They Don't Need to Make the Movies Anymore
The Avatar Game Is So Good, They Don't Need to Make the Movies Anymore See the new movie if you'd like. But if you really want to experience the big blue world of Pandora, the video game is where it's at. The Avatar video game is better than the movies. I say this as someone who has dumbly adored James Cameron's Avatar movies for a long time. The original 2009 film was my first ever midnight premiere, which I attended along with a friend who sat in the theater shirtless with his entire body painted blue.
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The Truth About the em Avatar /em Movies That No One Wants to Accept
James Cameron is desperate to convince the world that these movies aren't "cartoons." Enter your email to receive alerts for this author. You can manage your newsletter subscriptions at any time. You're already subscribed to the aa_Sam_Adams newsletter. You can manage your newsletter subscriptions at any time.
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James Cameron says AI actors are 'horrifying to me'
'Generative AI can't create something new' James Cameron. 'Generative AI can't create something new' James Cameron. James Cameron says AI actors are'horrifying to me' Avatar director, known for his advocacy of new technology, told interviewer generative AI performance puts'all human experience into a blender' Avatar director James Cameron has called AI actors "horrifying" and said what generative AI technology creates is "an average". Cameron was speaking to CBS on Sunday Morning in the run-up to the release of the third Avatar film, subtitled Fire and Ash, and was asked about the pioneering technology he used in his film-making. After praising motion-capture performance as "a celebration of the actor-director moment", Cameron expressed his disdain for artificial intelligence.
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Alien: Earth adds surprisingly good TV dimension to veteran sci-fi
After fifty years of books, games and movies, what more could the Aliens franchise deliver? The description "genre-defying" gets thrown around a lot these days - it is a convenient sticking plaster for any film or series that hasn't quite figured out what it wants to be. That said, it is an apt term for the Alien franchise. Ridley Scott's 1979 movie Alien, in which Ellen Ripley (Sigourney Weaver) is part of a crew trapped on a spaceship with a salivating, scorpion-like "xenomorph", had such blood-curdling visuals that it made an indelible impact on both science fiction and horror films. But while the deadly parasite and its psychosexual torment were ever present, subsequent instalments tried their hand at being everything from a blockbuster to a prison flick to a philosophical drama.
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Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models
Truong, Sang T., Nguyen, Duc Q., Nguyen, Toan, Le, Dong D., Truong, Nhi N., Quan, Tho, Koyejo, Sanmi
We employ Large language models (LLMs) such as GPT-fine-tuning on the LLaMa-2, Mixtral 8 7B, 4 (OpenAI, 2023), BLOOM (Le Scao et al, Gemma, and conduct a comprehensive evaluation 2023), LLaMa-2 (Touvron et al, 2023), Mistral of Vietnamese LLMs across various scenarios and (Jiang et al., 2023), Mixtral (Jiang et al., 2024), settings. Throughout the thorough evaluation process, Gemma (Team et al., 2024) have made significant we observe the following: (i) larger language contributions to the field of natural language processing models exhibit unseen capabilities compared to (NLP). Despite their advancements, a gap smaller counterparts; (ii) larger language models remains in their specialization for many languages, tend to manifest more biases, produce uncalibrated including Vietnamese. This paper addresses the results, and are more susceptible to the influence development and evaluation of Vietnamese-centric of input prompts; (iii) the quality of training or LLMs. Vietnam, with a population surpassing 100 fine-tuning datasets is the key for unlocking LLM million, ranks as the 16th most populous country performance. Our key contributions include: globally.
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The 16 Sci-Fi Movies You Need to Watch Before You Die
Science fiction is full of characters, set pieces, and scenarios that few other genres could ever get away with. Due to its often speculative nature, the most accomplished sci-fi movies can sometimes require a bit of work on the part of the viewer. Yet as fans of the genre understand, when it's done right, a great sci-fi film is well worth the mental gymnastics that watching it might demand. Speaking of sci-fi done right: Whether you're a lifelong genre devotee or have never even sat through a Star Wars movie to the end, a little guidance can go a long way--and that's exactly what we've got for you. When you're ready to take your mind on a cinematic journey, check out any one (or all) of our picks for the very best science fiction movies you can watch right now.
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On Monotonic Aggregation for Open-domain QA
Han, Sang-eun, Jeong, Yeonseok, Hwang, Seung-won, Lee, Kyungjae
Question answering (QA) is a critical task for speech-based retrieval from knowledge sources, by sifting only the answers without requiring to read supporting documents. Specifically, open-domain QA aims to answer user questions on unrestricted knowledge sources. Ideally, adding a source should not decrease the accuracy, but we find this property (denoted as "monotonicity") does not hold for current state-of-the-art methods. We identify the cause, and based on that we propose Judge-Specialist framework. Our framework consists of (1) specialist retrievers/readers to cover individual sources, and (2) judge, a dedicated language model to select the final answer. Our experiments show that our framework not only ensures monotonicity, but also outperforms state-of-the-art multi-source QA methods on Natural Questions. Additionally, we show that our models robustly preserve the monotonicity against noise from speech recognition. We publicly release our code and setting.
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James Cameron says AI 'weaponization' is 'biggest danger': '"I warned you guys in 1984'
Justine Bateman told Fox News Digital that using artificial intelligence to write a script is not solving any problems, as there is no lack of talent in the industry. Oscar-winning filmmaker James Cameron says he believes the future "weaponization" of artificial intelligence is the "biggest danger." "I think the weaponization of AI is the biggest danger," the "Titanic" director told Canadian CTV on Tuesday. "I think that we will get into the equivalent of a nuclear arms race with AI, and if we don't build it, the other guys are for sure going to build it, and so then it'll escalate," Cameron explained. "You could imagine an AI in a combat theater, the whole thing just being fought by the computers at a speed humans can no longer intercede, and you have no ability to deescalate," he continued.
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