SoftBank CEO predicts 10,000x ASI by 2035

// 52d agoVIDEO

SoftBank CEO predicts 10,000x ASI by 2035

This Reddit video clips Masayoshi Son arguing that artificial super intelligence could arrive by 2035 and be about 10,000 times smarter than humans. The point is not a shipped product but SoftBank’s broader AI thesis: that ASI will reshape computing, robotics, and society fast enough to justify massive investment now.

// ANALYSIS

Hot take: this is more strategic signaling than product news, but it matters because Son is tying SoftBank’s capital allocation to an extreme ASI timeline.

–The clip is a forward-looking claim from SoftBank’s CEO, not a release or launch announcement.
–It frames ASI as a company-level thesis, likely meant to justify SoftBank’s AI and infrastructure bets.
–The 10,000x figure is rhetorical and vague, so it should be read as vision-setting rather than a measurable benchmark.
–For editorial purposes, this is best treated as AI/news commentary with a strong speculation component.

// TAGS

aiasisoftbankmasayoshi-sonsuperintelligencevideonews

DISCOVERED

52d ago

2026-04-05

PUBLISHED

52d ago

2026-04-05

RELEVANCE

7/ 10

AUTHOR

Worldly_Evidence9113

// KEEP READING

More AI developer news from the feed

EXPLORE FULL FEED

UPDATE3h ago

Cursor adds dedicated subagents for skills

Cursor now allows developers to execute tool-heavy or research-intensive agent skills within dedicated subagents. This architectural shift isolates noisy background tasks, keeping the main chat context clean and focused.

UPDATE3h ago

YouTube moves AI labels to video player

YouTube is moving its AI content disclosures from video descriptions to more prominent placements beneath the player and on Shorts overlays. Starting in May, the platform will use internal signals to automatically label photorealistic AI content that creators fail to disclose.

OPEN SOURCE7h ago

Taste Skill kills AI "frontend slop"

Taste-Skill is an open-source framework that provides portable "agent skills" to enforce high-end design principles in AI-generated code. By injecting specific design directives and "anti-slop" rules, it enables LLMs to produce editorial-grade UIs that bypass generic, boilerplate-heavy AI templates.