DeepMind Releases ASI Report: AI Can Offset R&D Slowdown, but Physical Delays Are the Ultimate Brake for Superintelligence.

DeepMind Releases ASI Report: AI Can Offset R&D Slowdown, but Physical Delays Are the Ultimate Brake for Superintelligence. According to #链上数据 #Beating Monitoring, Google DeepMind has released its latest research report, noting that the leap from AGI to ASI may not be a single societal upheaval, but a series of continuous breakthroughs spanning multiple scientific fields. In response to the traditional R&D challenge of steadily increasing difficulty, the report says that although the number of R&D personnel required to sustain Moore has already been 18 times that of the 1970s, digital agents can be infinitely replicated—allowing humans to increase research resources by 20 times within a matter of hours, thereby systematically offsetting the decline in scientific productivity.
Next, three things need to be watched: whether related funding continues to flow in, whether on-chain transaction volume and positions continue to expand, and whether the project side or regulators provide new confirmation. A single news flash can only ignite sentiment; it’s the subsequent data that will determine whether it can solidify into a trend.
Risks also need to be laid on the table. The move toward superintelligence involves four parallel paths: scaling up in size, evolving algorithms, recursive self-improvement, and multi-agent collaboration. However, during the transition process, it faces five major bottlenecks: data walls, resource costs, limitations of neural network paradigms, increasing research difficulty, and abstract barriers.
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