Exciting Breakthroughs in Large Language Models: What to Expect This Summer

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Newsletter: New Large Language Model Releases - June 2025

Introduction

The past week has seen significant developments in the realm of large language models (LLMs), with new releases, groundbreaking research, and important insights into their performance and environmental impact. Here’s a comprehensive summary of the key events and takeaways.

Upcoming Release: ChatGPT-5

OpenAI has recently released GPT-4.5, marking the final step before the highly anticipated ChatGPT-5. According to Sam Altman, ChatGPT-5 is expected to be released in the summer of 2025, although the exact date remains uncertain due to ongoing safety testing and potential delays[1].

Addressing Bias in LLMs

Researchers at MIT have made a significant breakthrough in understanding and addressing the "position bias" in LLMs. This bias causes models to overemphasize information at the beginning and end of documents or conversations, neglecting the middle. The study identified design choices and training data as key contributors to this bias and proposed a framework to diagnose and correct it. This could lead to more reliable and accurate AI systems in various applications[2].

Environmental Impact of LLMs

A recent study highlighted the substantial CO2 emissions associated with queries to large language models. The research showed that more accurate models, particularly those requiring lengthy reasoning processes, emit significantly more CO2. For instance, models like the Cogito model with 70 billion parameters can produce up to three times more CO2 emissions than similar-sized models generating concise answers. Users can reduce emissions by prompting AI for concise answers and limiting the use of high-capacity models to necessary tasks[3].

New Multilingual Models: EuroVLM and EuroLLM-22B

Unbabel and its partners have introduced EuroVLM, a suite of multilingual vision-language models, along with new releases such as EuroLLM-22B and EuroMoE. These models are designed to enhance multilingual capabilities and vision-language understanding, marking a significant advancement in the European AI landscape[4].

Self-Adapting LLMs: SEAL Framework

MIT researchers have developed the Self-Adapting LLMs (SEAL) framework, which enables AI models to self-improve. This innovation could lead to more adaptive and efficient LLMs that can learn and adjust based on new data and tasks without extensive retraining[5].

Key Takeaways

Release Timeline: ChatGPT-5 is anticipated for a summer 2025 release, pending thorough safety testing.
Bias Correction: MIT's research provides a framework to address position bias in LLMs, enhancing their reliability and accuracy.
Environmental Considerations: Users can significantly reduce CO2 emissions by opting for concise answers and using high-capacity models judiciously.
Multilingual Advancements: EuroVLM and related models are set to improve multilingual and vision-language capabilities.
Self-Improvement: The SEAL framework allows LLMs to self-adapt, potentially increasing their efficiency and adaptability.