Cloudflare has a new tool that can block AI from scraping a website’s content for model training. The no-code feature is available even to customers on the free tier. “Declare your ‘AIndependence’” by blocking AI bots, scrapers and crawlers with a single click, the San Francisco-based company urged last week, simultaneously releasing a chart of frequent crawlers by “request volume” on websites using Cloudflare. The ByteDance-owned Bytespider was number one, presumably gathering training data for its large language models “including those that support its ChatGPT rival, Doubao,” Cloudflare says. Amazonbot, ClaudeBot and GPTBot rounded out the top four. Continue reading Cloudflare Blocking Web Bots from Scraping AI Training Data

Apple has released a public demo of the 4M AI model it developed in collaboration with the Swiss Federal Institute of Technology Lausanne (EPFL). The technology debuts seven months after the model was first open-sourced, allowing informed observers the opportunity to interact with it and assess its capabilities. Apple says 4M was built by applying masked modeling to a single unified Transformer encoder-decoder “across a wide range of input/output modalities — including text, images, geometric and semantic modalities, as well as neural network feature maps.” Continue reading Apple Launches Public Demo of Its Multimodal 4M AI Model

Created by Humans, a company that aims to make it easy for creators to be compensated when their work is used for AI model training, has emerged from stealth with $5 million in funding. Positioning itself as “the AI rights licensing platform for creators,” the company was launched by Trip Adler, formerly the CEO of document sharing service and publishing platform Scribd. Noted author Walter Isaacson is an investor and creative advisor. In streamlining the licensing process, Created by Humans hopes to spare individuals and smaller companies from the proposition of engaging in costly litigation against LLM firms. Continue reading Created by Humans: AI Rights Licensing Platform for Creators

Runway ML has introduced a new foundation model, Gen-3 Alpha, which the company says can generate high-quality, realistic scenes of up to 10 seconds long from text prompts, still images or a video sample. Offering a variety of camera movements, Gen-3 Alpha will initially roll out to Runway’s paid subscribers, but the company plans to add a free version in the future. Runway says Gen-3 Alpha is the first of a new series of models trained on the company’s new large-scale multimodal infrastructure, which offers improvements “in fidelity, consistency, and motion over Gen-2,” released last year. Continue reading Runway’s Gen-3 Alpha Creates AI Videos Up to 10-Seconds

Music startup Suno, which leverages ChatGPT tech with the goal of emulating that app’s success in music, has raised $125 million in Series B funding, resulting in a valuation of $500 million. Founded by Harvard physics PhD turned tech entrepreneur Mikey Shulman, the company is being called “a rising star” in the realm of generative AI. Suno lets people generate original songs by using text prompts or lyrics, with the AI supplying the melodies and harmonies for fully-formed compositions. “We started Suno to build a future where anyone can make music,” according to the company. Continue reading AI Startup Suno Raises Funds to ‘Democratize Music Creation’

IBM has released a family of its Granite AI models to the open-source community. The series of decoder-only Granite code models are purpose-built to write computer code for enterprise developers, with training in 116 programming languages. These Granite models range in size from 3 to 34 billion parameters in base model and instruction-tuned variants. They offer a range of uses, from modernizing older code with new languages to optimizing programs for on-device memory constraints, such as might be experienced when conforming for mobile gadgets. In addition to generation, the models can repair and explain code. Continue reading IBM Introduces Granite LLMs for Enterprise Code Developers

London-based AI-startup Synthesia, which creates avatars for enterprise-level generative video presentations, has added “Expressive Avatars” to its feature kit. Powered by Synthesia’s new Express-1 model, these fourth-generation avatars have achieved a new benchmark in realism by using contextual expressions that approximates human emotion, the company says. Express-1 has been trained “to understand the intricate relationship between what we say and how we say it,” allowing Expressive Avatars to perform a script with the correct vocal tone, body language and lip movement, “like a real actor,” according to Synthesia. Continue reading Synthesia Express-1 Model Gives ‘Expressive Avatars’ Emotion

The trend toward small language models that can efficiently run on a single device instead of requiring cloud connectivity has emerged as a focus for Big Tech companies involved in artificial intelligence. Apple has released the OpenELM family of open-source models as its entry in that field. OpenELM uses “a layer-wise scaling strategy” to efficiently allocate parameters within each layer of the transformer model, resulting in what Apple claims is “enhanced accuracy.” The “ELM” stands for “Efficient Language Models,” and one media outlet couches it as “the future of AI on the iPhone.” Continue reading Apple Unveils OpenELM Tech Optimized for Local Applications

Microsoft and OpenAI are contemplating an AI supercomputer data center that may cost as much as $100 billion. Called Stargate, the aim would be to have it operational by 2008 to drive OpenAI’s next generation of artificial intelligence. According to reports, the Stargate complex would span hundreds of U.S. acres and use up to 5 gigawatts of power, which is massive (the equivalent of a substantial metropolitan power grid). In light of those power needs, a nuclear power source is said to be under consideration. The project is not yet green-lit, and no U.S. location has been selected. Continue reading Microsoft, OpenAI Considering a Supercomputer Data Center

Databricks, a San Francisco-based company focused on cloud data and artificial intelligence, has released a generative AI model called DBRX that it says sets new standards for performance and efficiency in the open source category. The mixture-of-experts (MoE) architecture contains 132 billion parameters and was pre-trained on 12T tokens of text and code data. Databricks says it provides the open community and enterprises who want to build their own LLMs with capabilities previously limited to closed model APIs. Compared to other open models, Databricks claims it outperforms alternatives including Llama 2-70B and Mixtral on certain benchmarks. Continue reading Databricks DBRX Model Offers High Performance at Low Cost

OpenAI’s Sora text- and image-to-video tool isn’t publicly available yet, but the company is showing what it’s capable of by putting it in the hands of seven artists. The results — from a short film about a balloon man to a hybrid flamingo giraffe — are stirring excitement and priming the pump for what OpenAI CTO Mira Murati says will be a 2024 general release. Challenges include making it cheaper to run and enhancing guardrails. Since introducing Sora last month, OpenAI says it’s “been working with visual artists, designers, creative directors and filmmakers to learn how Sora might aid in their creative process.” Continue reading OpenAI Releases Early Demos of Sora Video Generation Tool

Apple researchers have gone public with new multimodal methods for training large language models using both text and images. The results are said to enable AI systems that are more powerful and flexible, which could have significant ramifications for future Apple products. These new models, which Apple calls MM1, support up to 30 billion parameters. The researchers identify multimodal large language models (MLLMs) as “the next frontier in foundation models,” which exceed the performance of LLMs and “excel at tasks like image captioning, visual question answering and natural language inference.” Continue reading Apple Unveils Progress in Multimodal Large Language Models

Reddit is moving ahead with its IPO and plans to raise between $682 million and $748 million on a fully diluted valuation of between $5.8 billion and $6.4 billion. Although no date has been announced, the IPO is expected to take place sometime this month. According to a Securities and Exchange Commission filing Monday, Reddit says it will offer 22 million 15.3 million Class A common shares and 6.7 million insider shares from investors including CEO Steve Huffman and COO Jen Wong. Pricing will be between $31 and $34 per share. The proposed market cap is $4.9 billion to $5.4 billion. Continue reading Reddit Hopes to Raise $748M in IPO Aimed at $6.4B Valuation

Soul Machines debuted a synthetic Marilyn Monroe last week at SXSW. The New Zealand-based company teamed on the Digital Marilyn project with Authentic Brands Group, a New York management firm that represents a host of fashion labels as well as personalities such as Elvis Presley, David Beckham and Muhammad Ali. The result is a sophisticated chatbot that Soul Machines describes as an “interactive experience.” Drawing on biological AI, Soul Machines is packaging a “personalized engagement opportunity” for fans and brands, which could lead to new approaches in advertising and promotions. Continue reading Soul Machines Aims for Photorealistic Marilyn Monroe Chatbot

Artificial intelligence stakeholders are calling for safe harbor legal and technical protections that will allow them access to conduct “good-faith” evaluations of various AI products and services without fear of reprisal. More than 300 researchers, academics, creatives, journalists and legal professionals had as of last week signed an open letter calling on companies including Meta Platforms, OpenAI and Google to allow access for safety testing and red teaming of systems they say are shrouded in opaque rules and secrecy despite the fact that millions of consumers are already using them. Continue reading Researchers Call for Safe Harbor for the Evaluation of AI Tools