OpenAI launched ChatGPT Agent on July 17, 2025, turning ChatGPT into a personal AI assistant capable of autonomously handling multi-step tasks. The agent uses a built-in “virtual computer” to browse the web, fill forms, run code, and produce Excel spreadsheets or PowerPoint presentations on the user’s behalf. It can manage schedules and plans by checking your calendar and finding free times to reserve tables via OpenTable. It can perform online research and compile concise reports or analyses, including trend summaries. It can shop online, compare options with criteria you specify, and place orders with your permission. It can generate editable

In May 2025, Prime Intellect unveiled INTELLECT-2, a 32B-parameter LLM trained on a globally distributed swarm of volunteer GPUs. INTELLECT-2 is the first model of its scale trained via fully asynchronous reinforcement learning across hundreds of heterogeneous, permissionless machines on chakra.dev. PRIME-RL coordinates the training loop by separating experience generation on inference workers from policy updates on trainer nodes, eliminating traditional synchronization bottlenecks. SHARDCAST distributes the 32B model weights via a tree-based, pipelined transfer to hundreds of volunteer GPUs, accelerating weight propagation. TOPLOC provides a probabilistic verification fingerprint using locality-sensitive hashing to detect tampering or incorrect results from untrusted nodes.

MoM was released in May 2025 as a linear-attention sequence model that preserves long-term context without forgetting. MoM breaks the single-memory bottleneck by maintaining multiple independent memory states and using a token router to assign information to memory slots. A trained router assigns each token to the top-k most relevant memory modules, with typical settings like top-k=2. Activated memories are updated by adding the token’s key and value outer-product to the memory, while a shared global memory is updated concurrently. MoM achieves linear time complexity per token and linear scaling with sequence length, unlike Transformers which are quadratic. In benchmarks,