GPT-4o Reduces Hallucinations by 40-60% with Advanced Features

In 2022, an interview with GPT-3 was conducted before the launch of ChatGPT. The interview highlighted both the strengths and limitations of the AI model. GPT-3's predictions about the intersection of blockchain and AI in sectors like health data and voting were notably accurate. The model described AI as a pattern-spotter capable of parsing massive datasets, a role that many large language models (LLMs) now play in analyzing on-chain activity or monitoring financial anomalies. Its explanation of how LLMs generate text, predicting the next most likely token, remains a relevant metaphor in 2025. The interview also raised the question of whether AI could eventually replace human crypto journalists.

However, many aspects of the 2022 interview now seem outdated. GPT-3 often fabricated facts, such as confusing Dota 2’s OpenAI Five with its own architecture. In contrast, GPT-4 and GPT-4o now hallucinate 40–60% less often thanks to retrieval-augmented generation (RAG), improved prompting, better fine-tuning, and real-time fact-checking tools. GPT-3 was also unaware of significant events like Bitcoin hitting $60,000 or the explosion of NFTs, Solana, and L2s post-pandemic. Today, GPT-4o can live-browse SEC filings, read Etherscan, and integrate on-chain data with milliseconds of latency. The anthropomorphism in treating GPT-3 like a sentient being is no longer acceptable, as researchers have clarified that models are not conscious, regardless of how lifelike their prose. Additionally, GPT-3 couldn’t cite sources, whereas GPT-4o now hyperlinks directly, timestamps answers, and can generate reference lists in any citation style.

Since 2022, significant advancements have been made in AI technology. ChatGPT was launched in November 2022 and gained 100 million users in just two months, making AI mainstream. GPT-4, introduced in March 2023, brought multimodal inputs (images + text), better reasoning, and 90th percentile exam scores. The tooling boom of 2023–24 expanded use cases with advanced data analysis, DALL-E 3, voice synthesis, and plugin ecosystems. GPT-4o, launched in May 2025, offers real-time voice and vision capabilities, making the interface feel like talking to a savvy intern with an eidetic memory and superhuman knowledge base.

In 2022, the idea of AI helping analyze blockchain was theoretical. By 2025, multiple platforms allow metrics to be queried in natural language. AI agents create decentralized applications (dApps), trade tokens, and post them on social media platforms. AI-driven wallets suggest staking strategies based on LLM analysis of validator histories. AI is no longer just an observer but an active participant in the blockchain ecosystem.

In April 2025, a voice interview with GPT-4o was conducted on a phone, asking about tokenomics for a hypothetical carbon-credit decentralized autonomous organization (DAO). The AI replied in less than 300 milliseconds with emotional nuance and multilingual support. This shift from typing prompts to talking through ideas is redefining editorial workflows. A quick demo comparing GPT-4o's responses with and without retrieval showed a significant difference in accuracy. GPT-4o, when prompted to write a response to GPT-3, acknowledged the earlier model's contributions while highlighting the advancements made since then.

In conclusion, while GPT-3 was a curiosity in 2022, GPT-4o has become a tool, a co-author, and a daily collaborator in 2025. However, human journalists still bring ethics, skepticism, and instinct, things no LLM can authentically simulate. The judgment, narrative, questions, and final published content remain human-driven, ensuring that AI serves as a supportive tool rather than a replacement for human expertise.