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OpenAI to Release Its First Open-Weight Model Since GPT-2

Yigit Taha OZTURK — Tue, 01 Apr 2025 08:30:50 +0000

OpenAI is preparing to launch a new open-weight language model, marking its first open release since GPT-2 in 2019. Unlike GPT-3 and GPT-4, this model will be publicly available for developers to use, download, modify, and deploy on their own hardware.

Key Details About the New OpenAI Model

Launch Timeline: Expected to be released in the coming months.
Developer Feedback: OpenAI will host developer events in San Francisco, Europe, and Asia-Pacific to refine the model before its official release.
Customization & Deployment: This model allows governments, enterprises, and developers to run and modify it independently.
Comparison to Previous Models: Unlike GPT-3 and GPT-4, which were fully closed, this new model will be open-weight—though not fully open-source.

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AI Industry Competition Heats Up!

The AI arms race continues to escalate with major players making significant advancements:

Alibaba launched an open-source AI model on March 26.
Google introduced Gemini 2.5 on March 25.
Meta‘s Llama model hit 1 billion downloads, as announced on March 19.

Meanwhile, OpenAI CEO Sam Altman has hinted at GPT-4.5 and GPT-5 launching soon, further intensifying the competition in the AI landscape.

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Google Announced Updated Model of AI Model Gemini

Tanju Akbıyık — Wed, 25 Sep 2024 15:00:07 +0000

Google has introduced two new stable versions of its Gemini 1.5 API models, Gemini 1.5 Pro and Gemini 1.5 Flash, offering developers enhanced performance at a significantly reduced cost. Released on September 24, these production-ready models feature major improvements in various areas, including code generation, math, reasoning, and video analysis.

The Gemini 1.5 Pro model, in particular, has seen a price reduction of over 50%, while also offering three times higher rate limits and lower latency compared to earlier versions. These updates aim to make advanced AI technology more accessible to developers by lowering financial barriers.

Both Gemini 1.5 models bring substantial advancements in accuracy, reducing issues like model hallucinations and improving factuality, instruction following, and multilingual understanding across 102 languages. Additionally, the models have enhanced capabilities for SQL generation, audio, and document comprehension. However, Google has reduced the summarization lengths for both models, providing chat-based product developers with options to further enhance conversational features.

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Starting October 1, Google will also lower API prices for prompts containing less than 128,000 tokens, with reductions of 64% for input tokens, 52% for output tokens, and 64% for cached tokens. Additionally, rate limits for the Gemini 1.5 Flash and Pro models have been increased to 2,000 and 1,000 requests per minute (RPM) respectively, improving the efficiency for developers building with these models.

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Irish Data Protection Commission Launches Investigation Into Google AI

Tanju Akbıyık — Thu, 12 Sep 2024 17:00:01 +0000

Ireland’s Data Protection Commission (DPC) has initiated a cross-border investigation into Google Ireland Limited to assess whether Google’s development of its AI model, Pathways Language Model 2 (PaLM2), complies with European Union data protection laws. The inquiry is focused on how Google handles EU citizens’ personal data in training the model, which is crucial for ensuring adherence to the General Data Protection Regulation (GDPR).

The DPC emphasized the importance of a Data Protection Impact Assessment (DPIA) in safeguarding the rights and freedoms of individuals, particularly when personal data processing poses high risks. The regulator’s efforts are part of a broader initiative to regulate the use of personal data in the development of AI models across the EU and the European Economic Area (EEA).

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Google’s PaLM 2, launched earlier this year, is designed to be faster and more efficient than previous models, with different versions — Gecko, Otter, Bison, and Unicorn — catering to various use cases. The Gecko variant, in particular, is optimized for mobile devices, even functioning offline. Google plans to release further updates as PaLM 2 is integrated into its products.

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