Generative artificial intelligence (AI) continues to progress at a breakneck pace, driven by innovations from Google’s Gemini, OpenAI’s ChatGPT and Perplexity, not to mention Anthropic. To better understand the future stages of this revolution, we asked ChatGPT o1 Pro, “optimal reasoning” mode to help us decipher the latest trends in this area, based on the advice of experienced specialists. The result proposed by OpenAi’s most advanced model below in italics.
According to these experts, growing computing power and optimization of linguistic models will soon make it possible to produce even more realistic and nuanced content. Multiple sectors — from healthcare to education to manufacturing — will leverage these advances to transform their processes and increase productivity.
Towards ever more efficient AI
The race for performance results in the integration of machine learning techniques capable of processing ever more massive volumes of data. Specialists emphasize that this progress, combined with better management of algorithmic bias, will strengthen the relevance and reliability of the results obtained.
At the same time, speech synthesis and multimodal interpretation continue to improve to offer more natural interactions with the user. As the technology matures, it could break down the remaining barriers between human and machine, ushering in revolutionary new applications.
Real risks not to be underestimated
Despite these exciting prospects, the rise of generative AI raises major questions about data protection and the regulation of these powerful tools. According to several analysts, the absence of clear safeguards could increase the excesses in terms of disinformation and manipulation.
Conversely, appropriate regulations and strict ethical supervision would make it possible to best exploit the potential of AI without harming the fundamental values of our society. Most experts also believe that dialogue between decision-makers, researchers and industrialists remains essential to establish public trust.
Outlook for 2025
By 2025, ChatGPT and other generative AI systems could reach a new level of sophistication, combining deep learning and symbolic reasoning. New concrete use cases, ranging from medical assistance to the creation of ultra-personalized content, should thus emerge and shake up our habits.
If these advances look promising, it will be crucial to ensure that critical thinking is preserved and that optimal transparency on the functioning of the algorithms is guaranteed. On this high-tech and telecom blog, we will continue to closely follow the evolution of AI to offer you informed and objective analyses.
I will let the Internet user form their own opinion. For my part, I find this proposal a bit “general”. After obtaining this text, I again asked ChatGPT for the sources used to provide me with these paragraphs. His response in italics below.
XS
Here are some sources and resources consulted to compose this article:
-
Google AI Blog (announcements and news on Gemini)
https://ai.googleblog.com -
OpenAI Blog (updates on ChatGPT and other models)
https://openai.com/blog -
Perplexity AI (official website and publications on generative AI)
https://www.perplexity.ai/ -
MIT Technology Review (articles and analyzes on AI and its trends)
https://www.technologyreview.com/ -
Interviews and publications from recognized experts
- Andrew Ng (DeepLearning.AI, Stanford)
- Yann LeCun (Facebook AI Research, NYU)
- Geoffrey Hinton (AI researcher)
-
AI studies and reports
- Stanford Institute for Human-Centered AI – “AI Index Report”
- McKinsey Global Institute – “The Future of AI”
- News and specialist articles from various tech and economic media
These different resources made it possible to compare information and enrich the analysis in order to offer a critical and balanced overview of the evolution of AI by 2025.
For comparison, in italics, the proposal from Perplexity Pro (approximately 20 francs per month) using Claude 3.5 Sonnet from Anthropic:
What developments for ChatGPT and AI in 2025?
-Generative artificial intelligence (AI) continues to evolve at an exponential rate, profoundly transforming the way we interact with technology. Giants in the sector such as OpenAI with ChatGPT, Google with Gemini, and Microsoft with its Phi models, are competing with innovations to offer ever more efficient and sophisticated models.[1].
In 2025, we will see a major evolution in AI’s contextual understanding, with improved multi-turn conversations and an increased ability to maintain consistency over long interactions. The models will also be able to detect emotions in language, enabling more empathetic and appropriate responses[1].
The era of multimodality
The big innovation of 2025 will be the advanced integration of multimodality, allowing AI to simultaneously process text, images, audio and video. This development will mark a decisive turning point in human-machine interaction, making exchanges more natural and immersive.[2][1].
User interfaces will undergo a radical transformation with the integration of advanced voice interfaces and immersive environments. Real-time multilingual support will facilitate international interactions, breaking down language barriers[1].
AI as an intelligent co-pilot
Experts agree on one crucial point: the AI of 2025 will act more like a co-pilot than a replacement for humans. Businesses are already beginning to recalibrate their expectations, limiting AI deployment to areas where its impact is most tangible[9].
OpenAI notably plans the development of autonomous agents capable of performing complex tasks without constant supervision. This advancement could revolutionize business process automation and daily task management[4].
Towards a more ethical and responsible AI
The issue of ethics and regulation will take on increasing importance in 2025, with the establishment of stricter guidelines for the development and use of AI. Concerns about the protection of privacy and the management of algorithmic bias will be at the heart of the debates[3].
The impact on the labor market will be significant, with the emergence of new sectors of activity requiring specific skills. Emphasis will be placed on continuing training and professional reintegration to support this digital transformation[7].
Citations:
[1] https://www.yiaho.com/evolution-chatgpt-2025-voici-les-7-points-a-surveiller/
[2] https://blog.google/products/google-cloud/ai-trends-business-2025/
[3] https://www.hulhub.com/future-prediction-of-ai
[4] https://fr.euronews.com/next/2024/12/01/chatgpt-a-deux-ans-quelle-est-la-prochaine-etape-pour-le-chatbot-de-lopenai-pionnier-de-li
[5] https://softwaremill.com/ai-trends-to-watch-in-2025/
[6] https://simple.ai/p/3-predictions-for-the-future-of-ai-agents-in-2025
[7] https://workatweb.fr/ia/explorons-les-visions-futuristes-de-chatgpt-que-nous-reserve-lintelligence-artificielle-en-2025/
[8] https://news.microsoft.com/source/features/ai/6-ai-trends-youll-see-more-of-in-2025/
[9] https://indianexpress.com/article/explained/explained-sci-tech/looking-at-2025-tech-rising-above-the-ai-line-9750694/lite/
[10] https://www.safig.fr/apercu-des-previsions-de-chatgpt-pour-lannee-2025-limpact-de-lintelligence-artificielle-sur-notre-avenir-2025-01-01-8473.html
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