OpenAI GPT-4 Turbo (GPT-4 V3) Unveiled: Benchmarks, Capabilities, and Future Plans

OpenAI Unveils GPT-4 Turbo (GPT-4 V3)

On the final day of OpenAI's 12 days of announcements, the company revealed its latest language model, GPT-4 Turbo (also referred to as GPT-4 V3). While access to this model is currently limited, OpenAI has shared impressive benchmarks and capabilities that demonstrate significant improvements over its predecessors.

Benchmark Results

GPT-4 Turbo has shown remarkable performance across various domains:

• Software Engineering: 71.7% accuracy (compared to GPT-3.5's <50%)
• Competition Code: Outperformed GPT-3.5 and GPT-4
• Competition Math: 96.7% accuracy (vs. GPT-3.5's 83.3%)
• PhD-level Science: 87.7% accuracy (vs. GPT-3.5's 78%)
• Research Math: 25.2% accuracy (vs. previous state-of-the-art models' 2%)

The research math benchmark is particularly noteworthy, as it involves extremely complex mathematical problems that typically require multiple mathematicians working together for extended periods.

Visual Reasoning Capabilities

One of the most impressive features of GPT-4 Turbo is its performance on the ARC AGI Benchmark, which tests visual reasoning skills. The model demonstrated the ability to understand and complete complex visual patterns, a task that has traditionally been challenging for AI systems.

• GPT-4 Turbo (low compute): 75.7% accuracy
• GPT-4 Turbo (high compute): 87.5% accuracy
• Human performance: ~76% accuracy

These results show that GPT-4 Turbo's high compute version outperforms most humans on this test, while the low compute version performs comparably to human levels.

Computational Costs

Despite the impressive results, it's important to note the significant computational costs associated with running GPT-4 Turbo:

• Low compute version: ~$30 per task
• High compute version: $5,000 - $6,000 per task

These high costs indicate that widespread consumer access to GPT-4 Turbo may be limited in the near term.

Is GPT-4 Turbo AGI?

While some have claimed that GPT-4 Turbo represents the achievement of Artificial General Intelligence (AGI), this interpretation remains debatable. The model has made significant strides in various domains, but there are still many tasks where humans outperform AI. It's more accurate to view GPT-4 Turbo as a major step forward in the journey towards AGI, rather than the final destination.

OpenAI's Future Plans

OpenAI has shared some information about their release timeline for GPT-4 Turbo:

• GPT-4 Turbo Mini: Expected release in early 2025
• Larger GPT-4 Turbo model: Release date to be announced later

The company acknowledges the need to reduce compute costs significantly to make these advanced models more accessible and economically viable.

OpenAI and Microsoft's AGI Definition

An interesting development in the AI industry is the reported internal definition of AGI agreed upon by OpenAI and Microsoft. According to an article published by The Information, the two companies have set a financial benchmark for AGI:

• AGI will be considered achieved when OpenAI's systems can generate approximately $100 billion in total profits for its earliest investors, including Microsoft.

This definition is part of the agreement between the two companies, which stipulates that Microsoft's control over OpenAI will diminish once AGI is achieved. However, given OpenAI's current financial situation (with billions in annual losses and profitability not expected until 2029), this milestone is unlikely to be reached in the near future.

GPT-3.5 Integration with GitHub Copilot

For those interested in using OpenAI's previous generation model, GPT-3.5 is now available within GitHub Copilot. Paid subscribers to GitHub Copilot can access GPT-3.5 for coding assistance, with a limit of 10 messages every 12 hours.

Sam Altman's 2025 Wishlist

OpenAI CEO Sam Altman took to social media to gather feedback on what users would like to see from OpenAI in 2025. His responses to various suggestions provide insights into potential future developments:

• Improved memory and context for voice conversations
• Better turn detection in voice chat
• A "grown-up mode" with fewer restrictions
• Family accounts with parental controls
• Integration of GPT-4 and DALL-E
• Improvements to Sora (OpenAI's text-to-video model)
• A drag-and-drop UI for chaining multiple chat models

Altman's engagement with these suggestions indicates that many of these features may already be in development at OpenAI.

Other AI News and Developments

xAI Funding and Grok Development

xAI, Elon Musk's AI company, has raised $6 billion in a Series C funding round from investors including Andreessen Horowitz, BlackRock, and Fidelity Management. The company is expected to play a larger role in the AI landscape in 2025.

xAI is also testing a standalone iOS app for its Grok chatbot, currently available in Australia. This move suggests that Grok may expand beyond its current integration with X (formerly Twitter) in the future.

DeepSeek-VL 3: New Open-Source Leader

DeepSeek-VL 3 has emerged as a new leader in open-source large language models. With 671 billion parameters, it outperforms many closed-source models in benchmarks for English, code, math, and Chinese language tasks. The model is available both as open-source software and through an API.

Google's AI-Powered Search Mode

Google is reportedly developing a dedicated AI mode for its search engine. While details are limited, it appears that users will have the option to switch between traditional search and AI-assisted search.

LTX Studio's Video Generation Update

LTX Studio has made significant improvements to their open-source video generation model:

• Enhanced text-to-video and image-to-video workflows
• Smoother and more polished motion
• Elimination of flickering and jittering effects
• Cleaner videos with fewer artifacts
• Optimized image-to-video results

Wiggle AI's Rap Generator

Wiggle AI has released a fun novelty feature that allows users to upload an image and generate a rap based on it. While the output may not always be coherent, it's an entertaining demonstration of AI's creative capabilities.

Backflip: 3D Object Generation Tool

Backflip is a new tool that enables users to create 3D objects from text prompts. These objects can be exported for 3D printing or use in 3D modeling software. The tool offers a user-friendly interface and quick generation times, making it accessible even on free plans.

AI-Taught Charter School in Arizona

Arizona has approved an online charter school that will be taught primarily by AI. The school, targeting 4th to 8th-grade students, will offer two hours of AI-led academic instruction daily, supplemented by life skills workshops. Human teachers will be available for support, but the primary interaction will be between students and AI.

Hardware Developments

• Asus has previewed an AI PC designed for AI inference, featuring an Intel Arc GPU and Microsoft Copilot integration.
• Ray-Ban's Meta smart glasses are expected to receive a display upgrade in 2025, potentially offering features like real-time translation subtitles and navigation assistance.

Robotics: China's Ultra-Acrobatic Humanoid

China has unveiled a new humanoid robot with impressive acrobatic capabilities, including a 320-degree waist rotation. The robot's gait is designed to closely mimic human movement, representing another step forward in humanoid robotics.

Conclusion

Despite the holiday season, the world of AI continues to evolve rapidly. OpenAI's GPT-4 Turbo represents a significant leap forward in language model capabilities, while other companies and researchers push the boundaries in areas like video generation, 3D modeling, and robotics. As we look towards 2025, it's clear that AI will continue to transform various industries and aspects of our daily lives. Stay tuned for more exciting developments in the coming year.

Article created from: https://youtu.be/PMq77NDRM3I?feature=shared