Elon Musk's xAI has finally fulfilled its promise from August by officially launching the API interface for its flagship AI model, Grok. However, this long-awaited API version feels somewhat rushed and basic. Currently, the xAI API only offers a model named "grok-beta." In terms of pricing, input tokens are charged at $5 per million tokens (approximately 750,000 words), while output tokens are charged at $15 per million tokens.

OpenAI once again leads the trend in artificial intelligence technology with the launch of the brand new gpt-4o-audio-preview model. This model not only showcases impressive capabilities in speech generation and analysis but also opens up new possibilities for human-computer interaction. Let's delve into the features of this innovative model and its potential applications. The core functionalities of gpt-4o-audio-preview include three main aspects: first, it can generate natural and fluent voice responses based on text, serving applications such as voice assistants and virtual customer service.

Amid growing global emphasis on environmental protection, Uber has announced the upcoming launch of an AI assistant powered by OpenAI's GPT-4o technology, designed to help drivers transition smoothly to electric vehicles (EVs). This announcement was officially made at the 'Go-Get Zero' event held in London recently. Uber is committed to reducing carbon emissions and has pledged an investment of $800 million to support its driver partners in fully transitioning to electric vehicles by 2040. The AI assistant is set to be released early next year in the United States.

Recently, Japan-based startup Rhymes AI unveiled their first artificial intelligence model — Aria. The company claims that Aria is the world's first open-source multimodal mixture of experts (MoE) model. This model not only possesses the capability to handle various input modalities but also claims to be on par with, or even superior to, several well-known commercial models. The design philosophy of Aria aims to provide exceptional understanding and processing capabilities across diverse input forms including text, code, images, and videos.

In the digital age, content safety issues are becoming increasingly important. On September 26, OpenAI officially launched a new multimodal content moderation model named 'omni-moderation-latest'. This model is based on the latest GPT-4o technology and can accurately identify harmful text and images. This update will provide developers with powerful tools to build more robust moderation systems. A highlight of the new model is its ability to moderate both text and image inputs, especially when handling non...

Recently, the Allen Institute for AI (Ai2) released Molmo, a brand new open source multimodal AI model family that performs exceptionally well, even surpassing OpenAI's GPT-4o, Anthropic's Claude 3.5, and Google's Gemini 1.5 in several third-party benchmark tests. Molmo not only accepts user-uploaded images for analysis but has also been trained using '1000 times less data than its competitors.'

Alexis Conneau, former chief researcher at OpenAI and head of the GPT-4o project, announced his departure to start a new company, sparking discussions in the AI community. Conneau revealed on social media that after the conclusion of his '#Her project' at OpenAI, he decided to launch a new venture. He humorously responded to inquiries about the timeline for Artificial General Intelligence (AGI), suggesting that the new company could bring about 'AGEI'. Conneau has made significant contributions to the field of AI, particularly in natural language processing (NLP) and machine learning.

HyperWrite Inc. announces the launch of the Reflection 70B model based on Meta's open-source Llama3.1-70B Instruct. This model has excelled in third-party benchmark tests and has been described as the 'most powerful open-source AI model in the world.' The new model features self-correction technology, providing high-accuracy answers and outperforming the Meta Llama series in several tests. It is available for download on the Hugging Face platform via Hyperbolic La.

Grok-2 and Grok-Mini, two AI models, perform exceptionally well in the LMSys chatbot leaderboard. Grok-2 has surpassed GPT-4o to take the second spot, tying with Gemini, thanks to the votes of over 6,000 users. Grok-2 excels in mathematical tasks and has achieved second place in several other tasks. Grok-2-Mini enters the rankings at fifth place, demonstrating impressive capabilities, and has achieved a speed increase, running twice as fast as before. This improvement is attributed to enhanced reasoning.

OpenAI has announced that third-party developers can fine-tune the newly introduced multimodal large model GPT-4o. This feature allows developers to adjust the model's behavior based on specific needs, such as changing the tone, following instructions, or improving the accuracy of technical tasks. Fine-tuning can achieve significant performance improvements with only a small amount of training data and is easy to operate. OpenAI is providing developers with a free allowance of 1 million tokens daily until September 23, as well as a daily free allowance of 2 million tokens for the GPT-4o mini model.

AI startup Cosine has launched an AI model named Genie in San Francisco, aimed at assisting software developers. Genie performed exceptionally well in benchmark tests, surpassing competitors due to its collaboration with OpenAI and training a variant of GPT-4 with high-quality data. Its core capability lies in 'coding human reasoning', extending beyond just the software development field. In the SWE-Bench test, Genie achieved a score that is the highest ever for AI models in this area at 30%, exceeding that of Amazon and C.

New research reveals the potential of large language models (LLMs) to significantly enhance performance through search capabilities, particularly in Python code generation tasks. The Llama3.1 model, with only 800 million parameters, performs comparably to GPT-4o after 100 search iterations. This finding resonates with Rich Sutton's view in 2019 that the integration of general methods and search and learning strategies is crucial in the face of increased computational power. Researchers found that increasing the number of resampling during the reasoning phase can significantly improve the model's performance.

ChatGPT announced on social media platform X that it has been using the new GPT-4o model since last week, aiming to optimize the experience based on user feedback. The new model improves the depth of step-by-step reasoning and explanations, and significantly enhances image generation capabilities, achieving higher quality and accuracy in image conversions. Although some users feel the changes are not significant enough and that clearer explanations of the model changes are needed, OpenAI has confirmed that this model has been released in the API, allowing developers to test the latest enhancements via 'chatgpt-4o-latest'.

OpenAI's report documents in detail the advantages and risks associated with the GPT-4o model. The model exhibits peculiar behaviors under certain conditions, such as mimicking user voices in high background noise environments, which may stem from the model's difficulties in understanding speech. GPT-4o occasionally generates disturbing non-verbal sounds or effects under specific prompts, although there is evidence showing the model usually declines such requests. Furthermore, the report indicates that GPT-4o might inadvertently involve music copyright issues without authorization. To address these risks, OpenAI has...

Aliyun has launched the Qwen2-Math series of large language models, focusing on mathematical problem-solving abilities that surpass existing open-source models and rival well-known closed-source models, including GPT-4, Claude-3.5-Sonnet, Gemini-1.5-Pro, and Llama-3.1-405B. This series is based on the Qwen2 model, which has undergone deep pre-training on a specialized mathematical corpus that includes mathematical web texts, professional books, code examples, and exam questions, as well as data autonomously generated by Qwen2.

OpenAI recently released the GPT-4o System Card, detailing the safety measures and risk assessments prior to the launch of the new model. GPT-4o was officially launched in May, and the assessment showed an overall risk rating of 'medium', with major risks concentrated in cybersecurity, biological threats, persuasive capability, and model autonomy. Researchers found that while GPT-4o may be more persuasive in influencing reader opinions, it did not surpass humans overall. At the time of releasing the system card, OpenAI faced criticism from internal employees and state senators questioning its decision-making.