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👋 Say hi to Bland, the world's most realistic AI phone-calling
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👋 Say hi to Bland, the world's most realistic AI phone-calling
Chances are, you've already spoken to it without even noticing... It can:
FLUX.1 Tools is a suite of models designed to add control and steerability to the text-to-image model FLUX.1. It contains a number of utilities and model checkpoints that allow for editability based on the FLUX models. It enables inpainting, outpainting, and some controlnets. The tools are useful for those looking to improve their creative suite on top of some of the best models out there.
Users are submitting medical images to X's AI chatbot Grok for diagnoses, a practice encouraged by Elon Musk despite concerns over accuracy and privacy. Unlike secure medical environments, Grok's interface lacks HIPAA protection, raising ethical issues about data usage. While AI's potential in healthcare is significant, experts warn of the dangers of inaccurate results and privacy breaches.
ElevenLabs has launched a platform for building customizable conversational AI bots. The platform allows users to adjust variables like tone and response length and integrate custom LLMs. The company aims to compete with OpenAI and others by offering flexible model and voice options.
Open source, frontier level, post training recipe with open data, training code, model weights, and scientific insights. Potentially the best source of knowledge on modern post training for large language models.
When two models are compared on a benchmark, and one of them is declared better than the other, it's hard to have much confidence in that declaration. This work from Anthropic explores some nice statistical methods that can be used to truly determine when one model outperforms.
The "cold start" problem in adaptive testing is where initial questions poorly match examinees' abilities. To combat this, researchers have developed the Diffusion Cognitive States Transfer Framework (DCSR), which uses diffusion models to leverage prior learning data across domains.
Long tracking of a consistent object over time can be pretty challenging. This work builds on SAM 2 and improves it with motion aware memory banks that keep consistency over time and through occlusions. It is one of the better visual tracking systems built to date.
PCNet is a new compact network for image-compressed sensing. It reduces sampling costs while delivering high-quality reconstructions.
Large multi-modal models can generate captions and compress images simultaneously within a single system.
GitHub Copilot, adopted by over 2.8 million users, enhances developer experience with features like AI-powered code completion, debugging, and secure code reviews. Developers can choose AI models from providers like OpenAI and Google in Visual Studio Code. Integration with Azure and tools like GitHub Actions streamline cloud deployments and CI/CD processes.
This article explores the interactive capabilities within OpenAI's Debian-based sandbox environment for ChatGPT, uncovering unexpected insights into its structure. Users can execute Python scripts, manipulate files, and potentially reveal core instructions via prompt engineering. This has provoked discussions on transparency and privacy. While these interactions are intentional features, OpenAI does not classify them as security vulnerabilities unless they lead to sandbox breaches.
Barriers to AI engineering are rapidly diminishing as tools enhance and workflow standardization simplifies complex processes. Building AI apps now requires using basic engineering knowledge to leverage models, prompts, integrations, tests, and deployment. Open source models preserve data privacy, while existing DevOps tools facilitate AI app development and management.
A new AI method developed by an MIT professor uncovered unexpected connections between fields like biology, music, and art through an integration of generative AI with graph-based reasoning.
Emails from 2017 revealed that Greg Brockman and Ilya Sutskever had doubts about Sam Altman's motivations for leading OpenAI and questioned his trustworthiness.
Elon Musk's lawsuit against OpenAI alleges the company abandoned its nonprofit mission and unfairly collaborated with Microsoft, harming competitors like Musk's xAI.