AI is coming for the influencers

Hello! 👋 Welcome to the kickstart year of AI phones 📲… Samsung is shaking up the smartphone scene in 2024, ditching the norm for its Galaxy S24 launch by putting artificial intelligence in the spotlight. Teasing with "Galaxy AI is coming," the tech giant teams up with Qualcomm to ride the generative AI wave, promising a thrilling tech revolution ahead.

Copyright law is AI's 2024 battlefield

Amid the rapid evolution of artificial intelligence, the battleground of copyright is set to define AI's course in 2024. The recent New York Times lawsuit against OpenAI and Microsoft for AI "widescale copying" foreshadows clashes that could outpace regulatory developments.

Critical copyright decisions: Disputes over AI's use of copyrighted material and the status of AI-created works will determine winners and losers in the 2024 AI market.

Innovation at risk: Scholars like James Grimmelmann warn of copyright hindering innovation by directing progress based on technicalities rather than societal benefit.

Adaptation vs. limitation: While some believe copyright can adapt to AI, concerns persist that mandatory licensing may limit AI development to well-funded players, excluding smaller startups and open-source initiatives.

In navigating these legal waters, the challenge is to ensure copyright addresses broader societal implications without becoming a blunt tool.

AI is coming for the influencers

Can a robot sell stuff better than a human? According to the FT, influencers are worried about AI-generated characters taking their jobs, as a new cadre of synthetic content creators are unleashed on to consumers.

In a collision of creativity and artificial intelligence, virtual influencers are making waves in advertising. AI-generated characters like Kuki are delivering impressive metrics, raising concerns among human influencers about their livelihoods.

• Synthetic influencers on the rise: Amazon, Google, and Meta advocate for AI in advertising, leading to the creation of virtual influencers. Human influencers worry about losing income to these cost-effective digital avatars.

• Inauthenticity meets advertising success: Meta's case study reveals an "11x increase in ad recall" with a virtual influencer. The question arises: Can inauthentic content effectively sell products?

• Metrics threaten human influencers: Virtual influencers aren't replacing humans but are altering campaign metrics. If AI proves more effective, human influencers may lose secondary income streams, highlighting a shift in automating basic functions in creative industries.

As AI reshapes the influencer landscape, questions linger about its long-term impact on creativity and authenticity.

Why users have to compliment ChatGPT to get the most out of it

If you’re grappling with OpenAI’s vast language models, a little flattery might go a long way. Scale AI's field CTO, Vijay Karunamurthy, suggests complimenting the model's intelligence, claiming it leads to better responses. It sounds odd, but it highlights a growing concern among users—OpenAI's products are challenging to use.

• Usability challenges: OpenAI's language models, including ChatGPT, face criticism for being less user-friendly and occasionally unreliable. The need for users to meticulously phrase prompts is well-documented, impacting various applications.

• Complaints and limitations: Users, including AI coding assistant startup Replit's CEO Amjad Masad, express frustration over ChatGPT's evolving difficulty. Additionally, as OpenAI deals with copyright infringement lawsuits, the chatbot is reported to ignore certain commands related to copyrighted characters.

• Ongoing improvements: OpenAI is actively addressing the usability issue. Strategies include external information referencing and finetuning for developers. Companies like Scale AI hire experts in LLM psychology to enhance performance.

• Future solutions: OpenAI is exploring options to streamline user experiences, such as moving beyond chat interfaces. The introduction of multimodal ChatGPT, allowing instructions through speech or hand-drawn images, is one such step. Another potential approach involves LLMs generating automations for common questions or actions.

As generative AI evolves, user feedback and usability challenges underscore that we are in the early stages of this transformative technology.