// research funding

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White House Plans to Bypass Universities in $200B Research Funding Overhaul

The Office of Science and Technology Policy is proposing to funnel federal research dollars directly to individual scientists and AI systems rather than through institutional grants, breaking from the postwar model where universities have served as the primary intermediary for federal R&D spending. This challenges the research university's institutional power and funding model—universities currently capture overhead and administrative fees on these grants—while raising practical questions about how peer review, equipment access, and lab infrastructure would function outside institutional frameworks. The shift reflects skepticism of academic gatekeeping and efficiency concerns, but could fragment research collaboration and disadvantage early-career scientists without existing networks or computational resources.

Bezos Bets on Quest to Decode the Brain's Fundamental Algorithm

Jeff Bezos's investment in neuroscience research pursuing a single organizing principle of the brain reflects a bet that human cognition operates on discoverable, replicable logic—the same assumption that drove decades of AI research before the emergence of large language models. If such a "core algorithm" exists and is found, it could validate top-down approaches to artificial intelligence (systematic, rule-based) or become another casualty of empiricism's track record, where scale and data have repeatedly outperformed elegant theory. The question isn't whether the algorithm is real, but whether Bezos and his research partners are prepared to abandon the premise if the brain operates more like GPT-4 than like a chess engine.