Observed Signal · Sep 15, 2023 · Technical Release · Source: OnlineMarketing.de · Impact: 4/5 · Sentiment: Positive
Meta's GPT-4-level AI model in training
Meta is reportedly developing a new AI model at least on par with OpenAI's GPT-4, with training slated for early 2024. Citing the Wall Street Journal, the company is expanding its in-house AI training capability by acquiring additional Nvidia H100 chips to run large-scale training even without Microsoft Azure. The unnamed model is said to surpass Meta's Llama 2, released in partnership with Microsoft, and could include human-like capabilities. Meta has been testing AI-enabled chatbots on Instagram and experimenting with an internal bot called Metamate as part of a holistic AI push across its products. CEO Mark Zuckerberg announced a dedicated top-level product group for generative AI, starting with creative tools and, over time, AI personas. Meta had previously introduced I-JEPA in June to enable the system to understand the world and take on tasks. The report places Meta in a competitive race with OpenAI, Google, and Apple over the future of advanced AI and data usage for training.
Major platform (Meta) developing a GPT-4-level AI model and expanding in-house AI training; high industry impact.
Track Meta Signals & Market Shifts in Real-Time
Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.
Key Takeaways & Evidence Grounding
- Meta aims to train a GPT-4-level AI model in early 2024 and is buying Nvidia H100 chips to enable in-house training.
- The model is said to surpass Llama 2, which Meta released with Microsoft for development use.
- Meta has tested AI chatbots on Instagram and experimented with an internal bot named Metamate.
- Mark Zuckerberg announced a new top-level product group for generative AI, focusing first on creative tools and later on AI personas.
- Meta introduced I-JEPA in June to understand how the world works and perform tasks.
Connected Companies & Entities
6 Entities mappedOntology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Meta Builds AI 'Digital Twin' of Mark Zuckerberg
Meta is developing a photorealistic AI “digital twin” of CEO Mark Zuckerberg to interact with employees and provide feedback, according to reporting that cites multiple insiders. The company is shifting focus from its metaverse efforts (Horizon Worlds will be removed from Meta Quest on 2026-06-15 and continue only on smartphones) toward AI, including multimodal and compact models such as Muse Spark. Zuckerberg is reportedly personally involved in training the model and spends several hours weekly on AI projects. Meta is encouraging employees and managers to adopt AI-native tools and training, while some observers worry about potential job displacement as AI agents become more integrated into workflows.
OpenAI Fires Safety Researchers; GPT-6.1 Ultrafast Launch
This AINews newsletter covers several significant developments: OpenAI has fired three safety researchers linked to a METR audit, citing mishandling of confidential information. OpenAI also launched GPT-6.1 Sol Ultrafast, a faster and cheaper model, and introduced an intelligent UI for ChatGPT. Anthropic released Claude Haiku 5.5 and cut Sonnet 5.5 cache-read prices. Additionally, Arena raised $200M, and there are reports about OpenAI's revenue figures. The newsletter also includes various model launches, benchmarks, and safety research updates.
AI Price War: OpenAI Gains Ground on Anthropic
The AI price war is intensifying, with OpenAI gaining significant ground on Anthropic among business customers. According to a Wall Street Journal report, spending on OpenAI and Anthropic models via the OpenRouter platform was nearly evenly split in September among roughly 120,000 companies using both, a shift from January when Anthropic held about 75% of that spending. OpenAI's aggressive price cuts on its GPT-5.6 lineup, including an 80% reduction on its smallest model Luna and 20% on Terra, are driving this change. Companies are increasingly prioritizing cost, combining multiple providers and using cheaper models for simpler tasks. Anthropic faces its own challenges, including capacity issues with Claude Code and data retention criticism. Both companies are preparing for IPOs, needing to demonstrate sustainable revenue to justify valuations exceeding $1 trillion.
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.