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--- uncategorized:capabilities_of_sota_ai [2023/10/31 20:24]
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+++ uncategorized:capabilities_of_sota_ai [2024/01/24 22:58] (current)
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@@ Line 1: / Line 1: @@
-====== Capabilities of state-of-the-art AI, 2023 ======
+====== Capabilities of state-of-the-art AI, 2024 ======
-This is a list of some noteworthy capabilities of current state-of-the-art AI in various categories. Last major update 2/27/2023, last updated 10/31/2023
+This is a list of some noteworthy capabilities of current state-of-the-art AI in various categories. Last updated 1/24/2024
 ==== Games ====
@@ Line 16: / Line 16: @@
   * In 2019, AlphaStar reached Grandmaster level in Starcraft, playing with the same constraints as a human player (viewing the world through a camera, restricted clickrate).((Alphastar: Grandmaster level in starcraft II using multi-agent reinforcement learning. DeepMind. (2019, October 30). Retrieved November 22, 2022, from https://www.deepmind.com/blog/alphastar-grandmaster-level-in-starcraft-ii-using-multi-agent-reinforcement-learning ))
   * DreamerV3 is a general algorithm from 2023 that can learn to play a variety of games without human data, and is able to collect diamonds in Minecraft.(( Hafner, D., Pasukonis, J., Ba, J., & Lillicrap, T. (2023). Mastering Diverse Domains through World Models. arXiv. https://doi.org/10.48550/arXiv.2301.04104))
-  * CICERO, from 2022, can play Diplomacy, a game that involves communicating and coordinating with other players. Cicero ranked in the top 10% of players who had played more than one game on webDiplomacy.net.(( Cicero. Meta AI. (n.d.). Retrieved November 23, 2022, from https://ai.facebook.com/research/cicero))
   * In 2022, DeepNash won 84% of Stratego games against the top expert human players on Gravon games.((Mastering Stratego, the Classic Game of Imperfect Information. DeepMind blog. (2022, December 1). Retrieved December 2, 2022, from https://www.deepmind.com/blog/mastering-stratego-the-classic-game-of-imperfect-information))
+  * CICERO, from 2022, can play Diplomacy, a game that involves communicating and coordinating with other players. Cicero ranked in the top 10% of players who had played more than one game on webDiplomacy.net.(( Cicero. Meta AI. (n.d.). Retrieved November 23, 2022, from https://ai.facebook.com/research/cicero))
-====Language====
+<HTML>
+<iframe width="560" height="315" src="https://www.youtube.com/embed/kexYmcu1Zro?si=vpmNylHXPmpU2FaU" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
+</HTML>
+//Examples and discussion of Diplomacy gameplay with Cicero//
-  * GPT-4, a large language model from 2023, can write poetry, answer questions, have conversations, act out characters, and more.
+====Language====
+  * GPT-4, a large language model from 2023, can write poetry, answer questions, reason about the world, have conversations, act out characters, and more.
-[{{:uncategorized:gpt-4_output.png?600|Sample output from GPT-4. A demo is available at chat.openai.com}}]
+[{{:uncategorized:gpt-4_output.png?600| Sample output from GPT-4}}]
   * Large language models such as GPT-4 can also write code. GPT-4 correctly solved programming problems in the HumanEval dataset 67% of the time.
@@ Line 43: / Line 47: @@
 ====Images====
-  * Image classification systems can recognize objects in the ImageNet database as well as humans.<sup>19</sup>((“…The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) has been running annually for five years (since 2010) and has become the standard benchmark for large-scale object recognition.”
+  * GPT-4 can recognize and interpret the content of images. ((GPT-4. (2023, March 14). OpenAI. Retrieved May 26, 2023, from https://openai.com/research/gpt-4))
-Russakovsky, Olga, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, et al. “ImageNet Large Scale Visual Recognition Challenge.” ArXiv:1409.0575 [Cs], January 29, 2015. http://arxiv.org/abs/1409.0575.))
-  * DenseCap, from 2015, can identify and describe multiple objects within an image.((Johnson, J., & Karpathy, A. (2015). DenseCap: Fully Convolutional Localization Networks for Dense Captioning. arXiv. https://doi.org/10.48550/arXiv.1511.07571 ))
-[{{:uncategorized:densecap_output.png?nolink&400|Example of DenseCap analyzing and captioning an image}}]
+[{{:uncategorized:screen_shot_2024-01-03_at_5.03.38_pm.png?600|GPT-4 output correctly describing an uploaded image}}]
   * Sensetime is a facial recognition system from 2014 that surpassed average human performance in accurately labeling faces in a large dataset of images.((Lu, C., & Tang, X. (2014). Surpassing Human-Level Face Verification Performance on LFW with GaussianFace. arXiv. https://doi.org/10.48550/arXiv.1404.3840
@@ Line 65: / Line 67: @@
 [{{:uncategorized:thispersondoesnotexist.png?nolink&400|This person does not exist. A demo of StyleGAN2 trained on human faces is available at this-person-does-not-exist.com}}]
-  * PaLI, released in 2022, can answer questions about images, caption images, detect objects in images, and classify images.((Chen, X., & Wang, X. (2022, September 15). PaLI: Scaling Language-Image Learning in 100+ Languages – Google AI Blog. Google AI Blog. Retrieved April 27, 2023, from https://ai.googleblog.com/2022/09/pali-scaling-language-image-learning-in.html))
+  * An AI system from 2023 can convincingly copy someone's handwriting after seeing only a few paragraphs of example text.(((2023, December 25). Transformers of the handwritten word. https://mbzuai.ac.ae/news/transformers-of-the-handwritten-word/))
-  * Make-a-Video, released in 2022, can generate video from a text prompt. ((Singer, U., Polyak, A., Hayes, T., Yin, X., An, J., Zhang, S., Hu, Q., Yang, H., Ashual, O., Gafni, O., Parikh, D., Gupta, S., & Taigman, Y. (2022). Make-A-Video: Text-to-Video Generation without Text-Video Data. ArXiv. /abs/2209.14792))
+  * AI systems such as VideoPoet, from 2023, can generate short videos given a text description.((Kondratyuk, D., Yu, L., Gu, X., Lezama, J., Huang, J., Hornung, R., Adam, H., Akbari, H., Alon, Y., Birodkar, V., Cheng, Y., Chiu, M., Dillon, J., Essa, I., Gupta, A., Hahn, M., Hauth, A., Hendon, D., Martinez, A., . . .  Jiang, L. (2023). VideoPoet: A Large Language Model for Zero-Shot Video Generation. ArXiv. /abs/2312.14125))
+<HTML>
+<iframe width="560" height="315" src="https://www.youtube.com/embed/70wZKfx6Ylk?si=FX-xbbwnA1wDa9A6" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
+</HTML>
+//A movie composed of several individual video clips produced by VideoPoet//
 ====Audio====
@@ Line 74: / Line 81: @@
   * Automatic speech recognition systems can transcribe recordings of human speech. Whisper, from 2022, is able to transcribe recordings with an accuracy close to that of professional human transcribers.((Radford, A., Kim, J. W., Xu, T., Brockman, G., McLeavey, C., & Sutskever, I. (2022). Robust Speech Recognition via Large-Scale Weak Supervision. Retrieved November 22, 2022, from https://cdn.openai.com/papers/whisper.pdf
 ))
-  * Jukebox, from 2020, can generate samples of music with a provided genre, artist, and lyrics as input.((Dhariwal, P., Jun, H., Payne, C., Kim, J. W., Radford, A., & Sutskever, I. (2020). Jukebox: A Generative Model for Music. arXiv. https://doi.org/10.48550/arXiv.2005.00341))
   * AudioLM, from 2022, creates predicted “continuations” of an audio input.((AudioLM. Retrieved February 27, 2023, from https://google-research.github.io/seanet/audiolm/examples/))
-  * MusicLM, from 2022, creates samples of music based on a text caption.((MusicLM: Generating Music From Text. Retrieved February 27, 2023, from https://google-research.github.io/seanet/musiclm/examples/ ))
-{{ :uncategorized:wikisong.mp3 |}}
-//Sample output from MusicLM, generated with the prompt "Lofi beats to listen to while reading a wiki page about AI capabilities, acoustic guitar". You can sign up for a demo at aitestkitchen.withgoogle.com//
   * Models such as Deep Voice 3, from 2018, can imitate a human voice based on a few samples of recorded speech.((Arik, S. O., Chen, J., Peng, K., Ping, W., & Zhou, Y. (2018). Neural Voice Cloning with a Few Samples. arXiv. https://doi.org/10.48550/arXiv.1802.06006))
   * Recent models such as Koe can take a recorded voice sample and change it into another voice.((Koe: Recast. Koe AI. (n.d.). Retrieved November 22, 2022, from https://koe.ai/recast))
+  * Suno.ai, from 2023, can create songs with lyrics and instrumentation based on a text description of the song's style and subject. ((Suno.ai. Retrieved January 3, 2024, from https://www.suno.ai/))
+{{ :uncategorized:artificial_love.mp4 |}}
+//Output from Suno.AI, given the prompt "A soulful R&B song that is self-referentially about how the song is an example of AI-generated audio output on a wiki page about the capabilities of state-of-the-art AI systems"//
 ====Robotics====
@@ Line 88: / Line 93: @@
   * Although they are prone to occasional mistakes, self-driving cars are able to drive with human supervision.((Metz, C., Laffin, B., & Thi, H. D. (2022, November 15). What riding in a self-driving Tesla tells us about the future of autonomy. The New York Times. Retrieved November 22, 2022, from https://www.nytimes.com/interactive/2022/11/14/technology/tesla-self-driving-flaws.html ))
   * In 2022, an AI-piloted drone won multiple races against three world-champion human drone pilots. ((Edwards, Benj. (2023, August 31). High-speed AI drone beats world-champion racers for the first time. Ars Technica. Retrieved October 31, 2023, from https://arstechnica.com/information-technology/2023/08/high-speed-ai-drone-beats-world-champion-racers-for-the-first-time/))
-  * Atlas, a humanoid robot, can walk, run, and perform parkour moves such as backflips.((Atlas™. Boston Dynamics. (n.d.). Retrieved November 22, 2022, from https://www.bostondynamics.com/atlas))
   * A robot made by OpenAI in 2019 can solve a rubik’s cube with one human-like hand.((Akkaya, I., Andrychowicz, M., Chociej, M., Litwin, M., McGrew, B., Petron, A., Paino, A., Plappert, M., Powell, G., Ribas, R., Schneider, J., Tezak, N., Tworek, J., Welinder, P., Weng, L., Yuan, Q., Zaremba, W., & Zhang, L. (2019). Solving Rubik's Cube with a Robot Hand. arXiv. https://doi.org/10.48550/arXiv.1910.07113))
   * In 2022, a robot successfully performed laparoscopic surgery on four pigs, without human assistance.((Gregory, A. (2022, January 26). Robot successfully performs keyhole surgery on pigs without human help. The Guardian. Retrieved November 22, 2022, from https://www.theguardian.com/technology/2022/jan/26/robot-successfully-performs-keyhole-surgery-on-pigs-without-human-help))
+  * Atlas, a humanoid robot, can walk, run, and perform parkour moves such as backflips.((Atlas™. Boston Dynamics. (n.d.). Retrieved November 22, 2022, from https://www.bostondynamics.com/atlas))
+<HTML>
+<iframe width="560" height="315" src="https://www.youtube.com/embed/tF4DML7FIWk?si=AjElyGK1pbjBfoGT" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
+</HTML>
+//A demo of the robot Atlas performing parkour.//
 ====Biology====
@@ Line 97: / Line 107: @@
   * In 2022 a model was able to predict the effect of a molecule on levels of an enzyme in humans and find molecules that inhibit a particular enzyme.((Urbina, F., Lentzos, F., Invernizzi, C., & Ekins, S. (2022). Dual use of artificial-intelligence-powered drug discovery. Nature Machine Intelligence, 4(3), 189–191. https://doi.org/10.1038/s42256-022-00465-9))
   * MinD-Vis, from 2022, can decode a subject’s brain activity to reconstruct an image that has some of the details and features of the image the subject is looking at.((Seeing beyond the brain: Conditional diffusion model with sparse masked modeling for vision decoding submitted to Anonymous Conference. MinD-Vis. (n.d.). Retrieved November 22, 2022, from https://mind-vis.github.io))
+====Mathematics====
+  * In 2022, AlphaTensor discovered efficient new algorithms for matrix multiplication, including an algorithm that broke a 50-year record in efficiency for 4x4 matrices in a finite field.((Fawzi, A., Balog, M., Huang, A., Hubert, T., Barekatain, M., Novikov, A., J., F., Schrittwieser, J., Swirszcz, G., Silver, D., Hassabis, D., & Kohli, P. (2022). Discovering faster matrix multiplication algorithms with reinforcement learning. Nature, 610(7930), 47-53. https://doi.org/10.1038/s41586-022-05172-4))
+  * In 2024, AlphaGeometry solved 25 out of 30 Olympiad-level geometry problems, approaching the level of an Olympiad gold medalist.((Trinh, T. H., Wu, Y., Le, Q. V., He, H., & Luong, T. (2024). Solving olympiad geometry without human demonstrations. Nature, 625(7995), 476-482. https://doi.org/10.1038/s41586-023-06747-5))

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