Artificial Intelligence

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/NuseAI on 2024-04-17 18:20:28.

• DeepMind CEO predicts Google will invest over $100 billion in AI, surpassing rivals like Microsoft in processing prowess.
• Google's investment in AI may involve hardware like Axion CPUs based on the Arm architecture, claimed to be faster and more efficient than competitors.
• Some of the budget will likely go to DeepMind, known for its work on the software side of AI, despite recent mixed results in material discoveries and weather prediction.
• DeepMind has made progress in teaching AI social skills, a crucial step in advancing AI capabilities.
• Hassabis emphasized the need for significant computing power, a reason for teaming up with Google in 2014.

Source:

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/danielkrol on 2024-04-17 11:36:17.

Source

• Adobe has unveiled new AI tools for Premiere Pro, which are expected to transform video editing.
• These AI tools aim to streamline various editing processes and enhance creativity.
• One notable feature is the 'Scene Edit Detection' tool, which automates the process of identifying cuts in footage.
• Another highlight is the 'Object Selection' tool, designed to simplify the selection of objects within a frame.
• Adobe also introduced a potentially controversial feature called 'Portrait Reframe,' which adjusts the framing of videos to focus on different subjects.
• The 'Portrait Reframe' feature has sparked debate among users regarding its ethical implications and potential misuse.
• Overall, Adobe's announcement signifies a significant step forward in video editing technology, leveraging AI to empower editors and streamline their workflow.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/alphabet_street on 2024-04-17 04:35:42.

Programming, music, data science, film, literature, art, graphic design, acting, architecture...on and on there are now common themes across all: the real experts in all these fields saying "you don't quite get it, we are about to be drowned in a deluge of sub-standard output that will eventually have an incredibly destructive effect on the field as a whole."

Absolutely fascinating to me. The usual response is 'the gatekeepers can't keep the ordinary folk out anymore, you elitists' - and still, over and over the experts, regardless of field, are saying the same warnings. Should we listen to them more closely?

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/Happysedits on 2024-04-17 03:04:13.

Top 10 Takeaways:

1. AI beats humans on some tasks, but not on all. AI has surpassed human performance on several benchmarks, including some in image classification, visual reasoning, and English understanding. Yet it trails behind on more complex tasks like competition-level mathematics, visual commonsense reasoning and planning.
2. Industry continues to dominate frontier AI research. In 2023, industry produced 51 notable machine learning models, while academia contributed only 15. There were also 21 notable models resulting from industry-academia collaborations in 2023, a new high.
3. Frontier models get way more expensive. According to AI Index estimates, the training costs of state-of-the-art AI models have reached unprecedented levels. For example, OpenAI’s GPT-4 used an estimated $78 million worth of compute to train, while Google’s Gemini Ultra cost $191 million for compute.
4. The United States leads China, the EU, and the U.K. as the leading source of top AI models. In 2023, 61 notable AI models originated from U.S.-based institutions, far outpacing the European Union’s 21 and China’s 15.
5. Robust and standardized evaluations for LLM responsibility are seriously lacking. New research from the AI Index reveals a significant lack of standardization in responsible AI reporting. Leading developers, including OpenAI, Google, and Anthropic, primarily test their models against different responsible AI benchmarks. This practice complicates efforts to systematically compare the risks and limitations of top AI models.
6. Generative AI investment skyrockets. Despite a decline in overall AI private investment last year, funding for generative AI surged, nearly octupling from 2022 to reach $25.2 billion. Major players in the generative AI space, including OpenAI, Anthropic, Hugging Face, and Inflection, reported substantial fundraising rounds.
7. The data is in: AI makes workers more productive and leads to higher quality work. In 2023, several studies assessed AI’s impact on labor, suggesting that AI enables workers to complete tasks more quickly and to improve the quality of their output. These studies also demonstrated AI’s potential to bridge the skill gap between low- and high-skilled workers. Still, other studies caution that using AI without proper oversight can lead to diminished performance.
8. Scientific progress accelerates even further, thanks to AI. In 2022, AI began to advance scientific discovery. 2023, however, saw the launch of even more significant science-related AI applications— from AlphaDev, which makes algorithmic sorting more efficient, to GNoME, which facilitates the process of materials discovery.
9. The number of AI regulations in the United States sharply increases. The number of AIrelated regulations in the U.S. has risen significantly in the past year and over the last five years. In 2023, there were 25 AI-related regulations, up from just one in 2016. Last year alone, the total number of AI-related regulations grew by 56.3%.
10. People across the globe are more cognizant of AI’s potential impact—and more nervous. A survey from Ipsos shows that, over the last year, the proportion of those who think AI will dramatically affect their lives in the next three to five years has increased from 60% to 66%. Moreover, 52% express nervousness toward AI products and services, marking a 13 percentage point rise from 2022. In America, Pew data suggests that 52% of Americans report feeling more concerned than excited about AI, rising from 37% in 2022.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/gronkulus on 2024-04-16 21:05:54.

Canada allocates $1.7 billion for AI advancement, aligning industrial policy with AI strategy for growth.

The Canadian government has recently unveiled a substantial funding package of $1.7 billion USD ($2.4 billion CAD) aimed at reinforcing Canada's foothold in the AI industry. This investment is poised to bolster crucial AI infrastructure, including computing power and institutions like the Canadian AI Safety Institute.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/baconlord906 on 2024-04-16 23:54:02.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/x83ghl on 2024-04-16 17:06:18.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/Mammoth-Throat-7281 on 2024-04-16 03:56:25.

Hey all, just as a hobby i've been playing around with Suno. And this is just crazy good. I did have to write my own lyrics (the ones it generated were subpar) but still, this thing is awesome. Made a country song and this made me a country fan haha.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/yourdeath01 on 2024-04-15 11:06:27.

My go to is obviously chatgpt, claude and gemini.

It used to be bing copilot but I feel like after the paid version, the free version became terrible

I was wondering if I should check out others like meta and what not

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/HugoDzz on 2024-04-15 18:15:01.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/Adkent99 on 2024-04-14 02:12:52.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/WheelMaster7 on 2024-04-12 23:42:57.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/Rare_Adhesiveness518 on 2024-04-12 22:22:44.

Article description: Apple will begin updating its Mac lineup with M4 chips in late 2024, according to Bloomberg's Mark Gurman. The M4 chip will be focused on improving performance for artificial intelligence capabilities.

Key points:

• Apple will update its Macs with M4 chips starting late 2024, focusing on improved AI performance.
• The M4 chip will come in 3 tiers (Donan, Brava, Hidra) and power different Mac models throughout 2024 and 2025.
• M4 Macs will likely use an improved 3nm process for better performance and power efficiency, and boast a more powerful Neural Engine for AI tasks.

Source (MacRumors)

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/wyem on 2024-04-12 16:53:36.

1. Cohere introduced Rerank 3, a new foundation model purpose built for efficient enterprise search and Retrieval Augmented Generation (RAG) systems. It enables search over multi-aspect and semi-structured data like emails, invoices, JSON documents, code, and tables in 100+ languages [Details].
2. Google DeepMind used deep reinforcement learning (deep RL) to train humanoid robots to play a simplified one-versus-one soccer game. The agents learnt by trial and error and could cope with unexpected interference in the real world. They were able to walk, turn, kick and stand up faster than manually programmed skills on this type of robot. They could also combine movements to score goals, anticipate ball movements and block opponent shots - thereby developing a basic understanding of the game [Details ].
3. Hugging Face researchers released Parler TTS, a fully open-source, Apache 2.0 licensed Text-to-speech model focused on providing maximum controllability. Through voice prompts, you can control the pitch, speed, gender, noise levels, emotion characteristics and more [Details | Demo*]*
4. Mistral AI released Mixtral 8×22B, a 176B parameters Sparse Mixture of Experts model with context length of 65k tokens - Apache 2.0 license [Link | Hugging Face].
5. Google :
   1. The input modalities for Gemini 1.5 Pro now expanded to include audio (speech) understanding in both the Gemini API and Google AI Studio. You can upload an audio recording of a lecture, for example, and Gemini 1.5 Pro can turn it into a quiz with an answer key. Additionally, Gemini 1.5 Pro is now able to reason across both image (frames) and audio (speech) for videos uploaded in Google AI Studio [Details].
   2. Gemini 1.5 Pro is now available in 180+ countries via the Gemini API in public preview [Details].
   3. Two new variants to Gemma family of lightweight, open models: CodeGemma for code completion and generation tasks as well as instruction following, and RecurrentGemma, an efficiency-optimized architecture for research experimentation [Details + Hugging Face blog].
   4. Google Vids, a new AI-powered video creation app for work with real-time collaboration announced. It can generate a storyboard that you can easily edit, and after choosing a style, it pieces together your first draft with suggested scenes from stock videos, images, and background music and voiceover. Vids is being released to Workspace Labs in June [Details].
   5. Vertex AI Agent Builder launched. It lets developers easily build and deploy enterprise-ready gen AI experiences using natural language or a code-first approach [Details].
   6. new Gemini-powered security updates to Chronicle and Workspace [Details].
   7. Gemini 1.0 Pro added to Android Studio as AI coding assistant [Details].
6. Cohere released Command R+, a RAG-optimized multilingual model designed to tackle enterprise-grade workloads. It support Multi-Step Tool Use which allows the model to combine multiple tools over multiple steps to accomplish difficult tasks. Command R+ is available on HuggingChat [Details].
7. Archetype AI introduced Newton, a physical AI foundational model that is capable of perceiving, understanding and reasoning about the world. It fuses real-time sensor data – such as from radars, cameras, accelerometers, temperature sensors, and more – with natural language, so you can ask open-ended questions about the world around you [Details].
8. Intercom launched Fin AI Copilot, a personal AI assistant for customer service agents. It uses RAG + semantic search to generate answers for support agents via internal knowledge bases, public URLs etc. Fin AI Copilot retains the context from a conversation with a support agent, so the agent can ask Fin follow-up questions later [Details].
9. Meta AI released Open-Vocabulary Embodied Question Answering (OpenEQA) framework—a new benchmark which measures an AI agent’s understanding of physical spaces via questions like “Where did I leave my badge?” [Details].
10. OpenAI’s new GPT-4 Turbo model, with improved capabilities in writing, math, logical reasoning, and coding, is now available to paid ChatGPT users and generally available via the API. Vision requests can now also use JSON mode and function calling [Details].
11. Poe introduced a new way for model developers and bot creators to generate revenue on Poe platform. Creators can now set a per-message price for their bots and generate revenue every time a user messages them [Details].
12. Oracle Financial Services introduced Oracle Financial Services Compliance Agent that helps banks mitigate anti-money-laundering risks [Details].
13. Apple Researchers present Ferret-UI, a new multimodal large language model (MLLM) tailored for enhanced understanding of mobile UI screens. Ferret-UI is able to perform referring tasks (e.g., widget classification, icon recognition, OCR) with flexible input formats (point, box, scribble) and grounding tasks (e.g., find widget, find icon, find text, widget listing) on mobile UI screens [Paper].
14. Stability AI released Stable LM 2 12B, a pair of powerful 12 billion parameter language models trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch, featuring a base and instruction-tuned model [Details].
15. Anthropic announced the Build with Claude contest, running from April 9th to April 16th, 2024. The top 5 winners will win $1,000 in API credits [Details].
16. Meta AI introduced the next generation of the Meta Training and Inference Accelerator (MTIA), the family of custom-made chips designed for Meta’s AI workloads. This new MTIA chip has improved performance by 3x over the first generation chip across four key model evaluations [Details].
17. Pika Labs and ElevenLabs are launching a 72-hour AI short film competition, FilmFAST, from April 12-14 [Details].
18. Intel introduced the Gaudi 3 AI accelerator, claiming to deliver 50% on average better inference and 40% on average better power efficiency than Nvidia H100 at a lower cost [Details].
19. Stability AI released Cos Stable Diffusion XL 1.0 and Cos Stable Diffusion XL 1.0 Edit, fine-tuned SDXL models that can produce full color range images [Hugging Face | Unofficial Demo]
20. Replit announced Code Repair, a low-latency code repair AI agent that fixes code automatically without prompting and outperforms GPT-4 and Claude 3 Opus. Replit also announced early access to a new AI-powered Replit Teams product [Details].
21. Meta confirmed that its Llama 3 open source LLM is coming in the next month [Details].
22. Apple researchers have developed an AI system called ReALM (Reference Resolution As Language Modeling) that can ‘see’ and understand screen context [Details | Paper]

Source: AI Brews - Links removed from this post due to auto-delete, but they are present in the newsletter. it's free to join, sent only once a week with bite-sized news, learning resources and selected tools. Thanks!

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/Electrical_Study_617 on 2024-04-11 18:16:03.

Two great minds- Ray Kurzweil & Geoff Hinton Debate on the Future of AI

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/Nearby-Ad-5130 on 2024-04-11 11:50:42.

Business Insider’s Katie Notopoulos wondered if Google trains its AI models on Google Docs we share with “anyone with a link.” Google, which added AI features to workspaces last year, says it only trains on “publicly available” Google Docs.

But the company says that even documents that are accessible to “anyone with a link” remain private unless that link is posted online where Google’s webcrawler can find it.

Source: Your Google Docs are (probably) safe from AI training

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/ShooBum-T on 2024-04-10 18:04:45.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/trcytony on 2024-04-10 17:56:23.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/First_Development101 on 2024-04-10 05:41:55.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/PicassoPix on 2024-04-09 11:05:55.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/TurretLauncher on 2024-04-09 08:55:30.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/wazowski_kachowski on 2024-04-08 03:47:10.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/arjitraj_ on 2024-04-08 16:30:02.

I am from non-tech background (could be obvious). I am curious what will happen when all the data that humans have created so far gets crawled or read or seen by GPT/midjourney.

I believe currently AI is generating content using human-generated content from past. What will happen when the total amount of AI generated content exceeds several folds than Human-generated content. Say 99.9% of the content being AI. Post that wouldn't AI be creating more content using AI and it kind of becomes recursive?

I am totally a newbie here.

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/Excellent-Target-847 on 2024-04-07 02:21:01.

1. Nvidia presents FoundationPose, a unified foundation model for 6D object pose estimation and tracking, supporting both model-based and model-free setups.[1]
2. Google DeepMind Presents Mixture-of-Depths: Optimizing Transformer Models for Dynamic Resource Allocation and Enhanced Computational Sustainability.[2]
3. Google Books reportedly indexing bad AI-written works.[3]
4. Teachers are using AI to grade essays. But some experts are raising ethical concerns.[4]

Sources:

[1]

[2]

[3]

[4]

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/artificial by /u/lnfinity on 2024-04-08 04:01:03.