deepseek (12. 189)

A scrappy, lean and open-source AI developed on a budget of just six million dollars has punched a hole of over a trillion dollars in global technology markets, raising doubts about the sustainability and infiltration in the boom led by the same cadre of grifters who upsold crypto and NTFs (and still trying to make fetch happen) cum beneficiaries of the tech-feudalism panopticon, bowdlerising and exploiting one’s sentiments and information as much as any accusations lobbed outside, that demonstrates that benchmarks in artificial intelligence utility can be set and surpassed without premium micro-processors (Nvidia chips, considered state-of-the-art, were subject to an export embargo in China since 2022) and without extensive infrastructure for computing power, spurring American companies to invest in server farms and nuclear plants to fuel their resource-hungry models—prompting a sober reevaluation of enthusiasm and underwriting and tuition for training. Liang Wenfeng, entrepreneur and hedge-fund manager, developed the model as a hobby to identify patterns in stock prices, and while remaining focused on research rather than commercial products has released a personal assistant as a free download to showcase its potential and make AI transparent and universally accessible (the algorithms can be adapted by anyone)—and the app is the most popular in its category, really handicapping the present US broligarchy (a real fail-whale) the declared American national emergency over energy.