Results for: Generative AI

OpenAI, the company behind the popular AI chatbot ChatGPT, has entered into a strategic partnership and licensing agreement with the Financial Times (FT). This deal grants OpenAI access to the FT’s content for training its AI models and displaying relevant summaries, quotes, and direct links in ChatGPT’s responses. OpenAI’s licensing deals with publishers like the FT aim to address concerns regarding content usage, copyright issues, and the potential impact of generative AI on news publishing. For publishers, these deals provide financial compensation and opportunities for collaboration in developing AI-powered products and features.

Google has begun testing generative AI in its search results, presenting automatically generated paragraphs at the top of some searches. These AI-generated overviews aim to provide quick insights into search topics, but come with the disclaimer that they are experimental and may contain inaccuracies or fabrications. Google acknowledges that generative AI models can sometimes misunderstand search queries or invent answers, known as ‘hallucinations,’ and users can opt out of these AI overviews if desired.

Google, initially caught off guard by the rapid rise of generative AI, has responded with a multifaceted approach, releasing its own AI products, merging AI teams, and seeking guidance from co-founders. Despite facing setbacks with Bard and Gemini AI, CEO Sundar Pichai remains confident in Google’s long-term AI strategy, highlighting upcoming AI advancements at the company’s annual developer conference.

As generative AI technology advances, the music industry faces a new challenge: the creation and proliferation of deepfake music that mimics the voices and styles of artists without their consent. This has raised concerns about copyright infringement, identity theft, and the potential devaluation of artists’ unique contributions.

Industry leaders are advocating for legislation to protect artists from unauthorized deepfake creations. The Tennessee ELVIS Act, the first of its kind in the US, criminalizes the use of AI to clone voices and likenesses of performers. Federal legislation is also being considered.

However, the use of AI in music also has potential benefits, such as assisting artists with songwriting and production. Industry stakeholders are exploring ways to regulate AI usage while promoting innovation and protecting artists’ interests.

Recent research papers from academic hospitals are casting doubt on the benefits of large language models (LLMs) in medical settings. Studies have found that LLMs may not save time or money, and can potentially introduce errors and delays. This challenges industry claims that LLMs would revolutionize healthcare, freeing up clinicians and providing more efficient care.

Meta CEO Mark Zuckerberg has emphasized the potential of generative AI and the metaverse, while cautioning investors about the long-term nature of these investments. Despite strong profitability, Meta anticipates a revenue growth slowdown as it ramps up its AI and metaverse initiatives. Zuckerberg drew parallels between generative AI development and successful feature rollouts like Stories and Reels, highlighting the significant long-term potential. Meta’s AI assistant has gained significant traction, and the company envisions various monetization avenues for it in the future, including business messaging, AI-integrated ads, and premium features.

As AI advancements take hold in various sectors, investors in the biotech industry believe it has the potential to revolutionize drug discovery. ARCH Venture Partners and Foresite Labs, through their affiliate Foresite Capital, have recently unveiled Xaira Therapeutics, an AI biotech company that received a substantial $1 billion investment. Xaira, operating discreetly for around six months, boasts a lineup of reputable investors including F-Prime, NEA, Sequoia Capital, Lux Capital, Lightspeed Venture Partners, Menlo Ventures, Two Sigma Ventures, and SV Angel. Led by CEO Marc Tessier-Lavigne, formerly the president of Stanford University and chief scientific officer at Genentech, Xaira aims to harness recent AI breakthroughs to create previously unfeasible drugs. Advances in foundational models developed at the University of Washington’s Institute of Protein Design, led by Xaira co-founder David Baker, play a crucial role in the company’s mission. These models draw inspiration from diffusion models that power image-generating tools like DALL-E and Midjourney. However, Baker’s models are tailored to design molecular structures that can be physically materialized in three dimensions. Xaira’s investors, while optimistic about the potential of AI in drug development, acknowledge that the field is still in its early stages. Vik Bajaj, CEO of Foresite Labs and managing director of Foresite Capital, highlights the challenge of data scarcity in biology and medicine compared to technology. Companies like Recursion and Genesis Therapeutics are also employing generative AI in drug design, indicating the growing trend in this area. Xaira’s entry into the field underscores its ambition to become a dominant force in AI-driven drug discovery. Despite concerns raised by Tessier-Lavigne’s resignation from Stanford amid allegations of data manipulation at Genetech, investors remain confident in his leadership abilities.

Rabbit R1’s launch event was an exciting display of the resurgence in consumer electronics. The sleekly designed device, with its distinctive orange exterior and 2.88-inch display, is a nod to the innovative spirit of the past while embracing modern technology. However, the true value of Rabbit R1 lies in its potential to justify its existence beyond smartphones, offering an accessible gateway to generative AI models without the need for monthly fees.

Artificial intelligence (AI) is transforming the world of coding, as an increasing number of developers embrace AI tools to enhance their workflow. According to a StackOverflow poll, 44% of software engineers currently use AI tools, with 26% planning to adopt them soon. Gartner predicts that over half of organizations are piloting or deploying AI-powered coding assistants, with 75% of developers expected to use them by 2028.

Apple has released OpenELM, a set of four open-source language models aimed at running AI tasks efficiently on Apple devices. OpenELM stands for ‘Open-source Efficient Language Models’ and boasts smaller sizes than most lightweight AI models, enabling smooth operation on devices like phones and laptops. This release marks Apple’s continued focus on developing AI capabilities to run locally on Apple devices, aligning with CEO Tim Cook’s earlier hints about the company’s ambitions in generative AI.