According to @DeepLearningAI, Thinking Machines Lab unveiled Tinker, an API that lets developers fine-tune open-weights LLMs such as Qwen3 and Llama 3 as if on a single device, with Tinker automatically handling multi-GPU scheduling, sharding, and crash recovery, source: https://twitter.com/DeepLearningAI/status/1981752540405301452 and https://hubs.la/Q03Q1CC40. According to @DeepLearningAI, the announcement is positioned as a developer tooling update and does not mention any cryptocurrency, token integrations, pricing, or release timing details, which limits direct trading signals for crypto markets based solely on this source, source: https://twitter.com/DeepLearningAI/status/1981752540405301452 and https://hubs.la/Q03Q1CC40.

According to @StockMKTNewz, Bloomberg reports that Meta Platforms (META) is hiring Apple AI executive Frank Chu, who led Apple AI teams in cloud infrastructure, training, and search, to join Meta Superintelligence Labs, source: Bloomberg. This hire aligns with Meta’s stated push to scale AI infrastructure and model training, including the Llama program and elevated AI-focused capex guidance disclosed in 2024 investor materials, source: Meta AI blog and Meta Q2 2024 investor communications. The Bloomberg report did not mention any direct cryptocurrency or blockchain linkage tied to this hire, source: Bloomberg.

According to DeepLearning.AI, researchers have introduced Mender, a recommendation system leveraging Llama 3 to infer precise customer preferences from product reviews and descriptions. By extracting explicit preferences instead of relying on raw, noisy text, Mender enables more accurate customer profiling. This advancement in AI-driven recommendation technology offers significant potential for crypto and stock trading platforms seeking to enhance user engagement and retention through personalized trading suggestions and targeted product offerings (Source: DeepLearning.AI, May 10, 2025).