According to @karpathy, nanochat now carries a defined identity and can state its capabilities, including that it is nanochat d32 built by him with a reported $800 cost and weaker non-English proficiency, achieved via synthetic data generation, source: x.com/karpathy/status/1980508380860150038. He released an example script that demonstrates generating diverse synthetic conversations and mixing them into mid-training or SFT, stressing the importance of entropy to avoid repetitive datasets, source: x.com/karpathy/status/1980508380860150038. He adds that base LLMs lack inherent personality or self-knowledge and require explicitly bolted-on traits via curated synthetic data, source: x.com/karpathy/status/1980508380860150038. For traders, the disclosed $800 customization benchmark and open-source workflow provide concrete cost and process reference points for evaluating open-source AI agent development and adoption paths across AI-linked tokens and AI-exposed equities, source: twitter.com/karpathy/status/1980665134415802554.

According to @TensorplexLabs, Tensorplex Labs is recruiting Research Engineers to advance open-source reinforcement learning with a focus on scalable synthetic data generation, robust human feedback collection, and human-AI task delegation (source: @TensorplexLabs, May 22, 2025). These initiatives are expected to drive innovation in AI technologies relevant to blockchain and cryptocurrency projects that rely on synthetic data and secure feedback systems for decentralized finance and smart contract automation (source: @TensorplexLabs). Traders should monitor related AI-token movements, as improved machine learning models could boost demand for infrastructure tokens and layer-1 blockchain solutions supporting AI integrations.

According to @berkeley_ai, while instruct-tuned models are advancing in instruction-following and reasoning, they lack in generating diverse responses, which is vital for tasks like synthetic data generation. The new method, BARE, addresses this issue, potentially impacting trading algorithms reliant on diverse data synthesis.