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Orange Partners with OpenAI and Meta to Develop AI Models for African Languages

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French telecom giant Orange has announced a collaboration with OpenAI and Meta to create artificial intelligence (AI) models that cater specifically to regional African languages. This initiative aims to address the gap in AI systems’ understanding of lesser-represented languages, starting with Wolof and Pulaar, spoken by millions across West Africa.

Orange plans to leverage OpenAI’s Whisper and Meta’s Llama open-source models, fine-tuning them to recognize and process these languages. According to Steve Jarrett, Orange’s chief AI officer, global AI systems often fail to understand African text and voice communications due to the lack of culturally and linguistically relevant training data.

“By fine-tuning open models, we introduce additional information, enabling AI systems to understand West African regional languages that are currently ignored by mainstream AI,” Jarrett explained.

Rollout and Focus on West Africa

The first phase of this initiative will integrate Wolof and Pulaar into Orange’s AI models by early 2025. Wolof is predominantly spoken in Senegal, the Gambia, and southern Mauritania, while Pulaar is common in Senegal. The project will expand to cover all 18 West African countries where Orange operates.

Orange will provide these customized AI models under a free license for non-commercial applications like public health and education. This approach aligns with the company’s commitment to enhancing accessibility and addressing unmet needs in the region.

Sovereign AI and Localization

The project reflects a growing global trend toward “sovereign AI,” emphasizing localized data processing and infrastructure. By hosting OpenAI’s systems in European data centers, Orange seeks to ensure secure data handling while accessing advanced AI capabilities. The company’s initiative also promotes cultural and linguistic representation, helping to build systems that resonate with local contexts.

Jarrett stressed the importance of using AI responsibly, balancing innovation with environmental concerns. The models will focus on targeted applications, avoiding the extensive energy demands of massive language models when unnecessary.

Broader Applications

Beyond language processing, Orange is integrating AI into its core business operations. The company uses AI to optimize its mobile networks, identifying and predicting failures before customers are affected. Additionally, AI-driven voice systems are being developed to improve customer service across its contact centers.

This partnership represents a step toward bridging the technological gap for underrepresented regions, fostering greater inclusivity in the global AI landscape.

 

OpenAI’s Upcoming Flagship AI Model Faces Challenges in Surpassing Older Models on Some Tasks, Report Says

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OpenAI is reportedly encountering challenges with the development of its next-generation flagship AI model, codenamed Orion. Despite expectations, the new model has shown mixed results in its performance, especially when compared to older models like GPT-4. According to a recent report, while Orion is said to outperform previous models in language-based tasks, it has struggled to show significant improvements in other areas, such as coding. This discrepancy in performance across different types of tasks has raised concerns within the company about whether the model can meet the ambitious goals set for it.

The Information, citing anonymous sources within OpenAI, highlights that Orion has demonstrated notable advancements in tasks involving natural language processing, but its performance in coding-related tasks has not lived up to expectations. This has been a source of frustration for the team, as coding is a key use case for many businesses and developers relying on OpenAI’s models for automation and programming assistance. The inability to substantially outperform older models in this area is seen as a critical issue for Orion’s potential adoption.

Compounding the issue, Orion’s higher operational costs are another factor that could hinder its success. The model is reportedly more expensive to run in OpenAI’s data centers compared to GPT-4 and GPT-4o. This increased cost, combined with its underperformance in certain tasks, raises concerns about the cost-to-performance ratio of Orion. If the model cannot deliver a clear advantage in multiple areas, it may struggle to attract enterprise clients and subscribers, who are looking for value and efficiency in AI solutions.

In addition to performance concerns, OpenAI is also reportedly facing difficulties in gathering enough training data to effectively train Orion. Data scarcity is a well-known challenge for AI development, and without sufficient high-quality data, even the most advanced models can fall short of expectations. These ongoing struggles suggest that OpenAI’s efforts to push the boundaries of AI with Orion might face significant delays or require further refinements before it can rival or surpass its predecessors.

Sam Altman Joins San Francisco’s Transition Team

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OpenAI’s Sam Altman Takes on Role in San Francisco’s Government

Sam Altman, the CEO of OpenAI, has been appointed as one of seven co-chairs of Mayor-elect Daniel Lurie’s transition team in San Francisco. This appointment marks a growing trend of tech executives stepping into government roles in the city. Altman, whose company is known for developing ChatGPT, joins a group of former Silicon Valley leaders taking up positions in local government following this month’s election.

The increasing influx of tech industry influence into San Francisco has sparked some tensions, as the city, historically associated with counterculture, sees its tech industry expand beyond Silicon Valley into the urban core. San Francisco, facing challenges such as a sluggish post-pandemic economic recovery, homelessness, and drug-related issues, is also shifting politically towards centrist Democratic policies. This transformation is partly fueled by both tech executives and the city’s citizens frustrated with the status quo.

Lurie’s Incoming Administration and Tech Influence

Daniel Lurie, a philanthropist and heir to Levi Strauss fortune, will replace London Breed, the city’s first Black female mayor. Lurie, who takes office on January 8, faces the significant challenge of addressing San Francisco’s public safety crisis, which has prompted many tech leaders to leave the Bay Area. In addition to Altman, Lurie’s campaign was supported by tech figures such as Jan Koum, co-founder of WhatsApp.

Altman’s involvement underscores a broader trend where tech leaders aim to apply their industry expertise to solve urban issues. “I’m excited to help the city I love, and where OpenAI was started,” Altman said in a statement. His participation in the transition team reflects a shift towards a more pragmatic, metrics-driven approach to governance that focuses on quality-of-life issues rather than ideological debates.

Tech’s Role in San Francisco’s Future

Bilal Mahmood and Danny Sauter, both former software entrepreneurs, were also elected to San Francisco’s Board of Supervisors, signaling a wave of tech-driven political change. Mahmood, who has expressed support for more metrics-driven governance, believes the city’s current challenges stem from inefficiencies in its technical infrastructure. He advocates for addressing issues like housing delays and hiring backlogs, areas where tech leaders are well-positioned to make an impact.

These developments suggest a new direction for San Francisco, as its leadership taps into the technical expertise of the Silicon Valley elite to tackle persistent urban issues.