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- Is ChatGPT About to Get Ads? OpenAI’s Latest Move
Is ChatGPT About to Get Ads? OpenAI’s Latest Move
PLUS: Alibaba’s QwQ Beats OpenAI’s o1 in Reasoning
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Welcome, AI enthusiasts.
OpenAI is reportedly considering incorporating advertising into its AI products as part of a push to diversify revenue streams. CFO Sarah Friar confirmed the company is exploring an ads-based model, despite previous reluctance from leadership.
In today’s issue:
Is ChatGPT About to Get Ads? OpenAI’s Latest Move
Alibaba’s QwQ Beats OpenAI’s o1 in Reasoning
Hume Unveils Next-Level AI Voice Personalization
5 new AI tools & Tools on sale
New AI Job Opportunities
Everything else you should know today
Read time: 4 minutes
OPENAI
Image source: The Rundown
The Rundown: OpenAI is reportedly considering incorporating advertising into its AI products as part of a push to diversify revenue streams. CFO Sarah Friar confirmed the company is exploring an ads-based model, despite previous reluctance from leadership.
The Details:
OpenAI has quietly onboarded top talent from Meta and Google to build an advertising team, including Shivakumar Venkataraman, a former leader in Google search ads.
While OpenAI currently generates $4 billion annually from subscriptions and API access, its operational and development costs for AI models surpass $5 billion each year.
Internal discussions appear divided. CEO Sam Altman has previously criticized ads as a "last resort," expressing concerns about their impact on the user experience.
Friar later clarified that, while ad models are under evaluation, there are "no active plans to pursue advertising" at this time.
Why It Matters:
Integrating ads could help alleviate OpenAI’s enormous operational costs, but it comes with risks. Overuse, as seen in Google’s ad-heavy search results, could erode user trust. Ads in AI models may alter how users interact with the platform and perceive the reliability of its outputs. Balancing revenue generation with user trust will be critical.
Alibaba
Image source: venturebeat
The Rundown: Alibaba has introduced Qwen with Questions (QwQ), an open-source AI reasoning model that outperforms OpenAI's o1 in several benchmarks. QwQ utilizes inference-time scaling, allowing it to review and correct its answers during processing, enhancing its proficiency in tasks requiring logical reasoning and planning, such as mathematics and coding.
The Details:
Advanced Reasoning: QwQ employs additional computational cycles during inference to refine its responses, leading to improved accuracy in complex problem-solving scenarios.
Benchmark Performance: The model has achieved higher scores than OpenAI's o1 in various assessments, indicating its enhanced reasoning capabilities.
Open-Source Availability: Alibaba has made QwQ accessible under an open-source license, encouraging widespread adoption and collaborative development within the AI community.
Why It Matters:
AI Development Milestone: QwQ's performance signifies a notable progression in AI reasoning abilities, potentially influencing future AI research and applications.
Industry Implications: The open-source nature of QwQ may accelerate innovation and competition in the AI sector, fostering the development of more advanced and accessible AI solutions.
Practical Applications: Enhanced reasoning models like QwQ can be instrumental in fields requiring complex problem-solving, including scientific research, education, and software development.
Bottom Line: Alibaba's Qwen with Questions sets a new standard in AI reasoning, surpassing existing models and opening avenues for advanced applications across various industries.
HUME
Image source: Hume
The Rundown: Hume AI's new Voice Control feature lets developers adjust voice characteristics such as gender, confidence, and smoothness through intuitive sliders. This innovation provides unmatched control for creating unique synthetic voices without the risks of voice cloning.
The Details:
10 Customizable Dimensions: Includes attributes like assertiveness, nasality, and enthusiasm, offering creators detailed control.
Easy Interface: A no-code slider system allows for real-time voice adjustments.
Applications: Ideal for branding, media, and applications needing distinctive AI voices.
Innovation: Ensures reproducibility across sessions and minimizes interference between adjusted attributes.
Why It Matters:
Unique Branding: Businesses can craft tailored voices to reflect their brand identity.
Simplified Creation: Eliminates the need for risky voice cloning while preserving quality.
Industry Potential: Redefines voice AI for applications in entertainment, education, and more.
Bottom Line: Hume's Voice Control tool empowers developers to create one-of-a-kind synthetic voices, setting a new standard in voice AI customization.
Prompt of today
Prompts:
A half-body portrait of a cheerful Corgi dressed as a Christmas elf, with a green hat and red scarf, surrounded by sparkling Christmas lights and snow-covered pine trees, cute and festive atmosphere --ar 3:4 --v 6.1
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AI around the world
🤖 Silicon Showdown: Jeff Bezos, Samsung, and LG have thrown their support behind a $700M funding round for Canadian AI chip startup Tenstorrent, valuing this Nvidia competitor at $2.6B.
💻 Last Word: Nvidia isn’t staying on the sidelines. The chip powerhouse joined a $700M investment round to back Russian entrepreneur Arkady Vlozh’s Nebius in creating new AI data clusters in Europe and the US.
🌊 Starting Fresh: Intel CEO Pat Gelsinger is stepping down after three decades with the company. Struggling to adapt to AI, Intel has seen its shares plunge 52% over the past year.
⚠️ Up in Smoke: Character AI announced it’s deleting popular chatbots permanently — including ones inspired by Harry Potter, Game of Thrones, and Looney Tunes — over copyright issues.
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