50% probability fundamental physics could be solved in the next few years

50% probability fundamental physics could be solved in the next few years | I assign it maybe 50% probability that we run out of fundamental physics at some point maybe even in the next few years.

I assign it maybe 50% probability that we run out of fundamental physics at some point maybe even in the next few years.

Beneficiaries (23)

Adverse (6)

{
  "nia": false,
  "qty": "50% probability",
  "url": "https://www.youtube.com/watch?v=dmtvGKuRE64",
  "mode": "SPECULATION",
  "role": "Host",
  "context": "We discover it with the help of super intelligence and then maybe we run out of fundamental new physics to discover. That's one scenario that would be very interesting. I wouldn't be shocked. I assign it maybe 50% probability that we run out of fundamental physics at some point maybe even in the next few years.",
  "to_year": 2030,
  "verbatim": "I assign it maybe 50% probability that we run out of fundamental physics at some point maybe even in the next few years.",
  "conv_cues": "50% probability; wouldn't be shocked",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "Next few years",
  "conv_level": "MEDIUM",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "LLM/foundation-model designs novel quantum optics experiment with verified result",
      "source": "deep_research_enriched",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.8,
      "source_url": "https://physicsworld.com/a/meta-design-language-models-generate-novel-quantum-experiments/",
      "expected_date": "2026-04-15",
      "observed_date": "2026-04-15",
      "research_origin": "deep_research",
      "measurement_criterion": "Published demonstration of language-model-generated quantum experiment that produced previously-unknown quantum states"
    },
    {
      "kind": "llm_pre_event",
      "label": "AI-driven discovery of new physics in dusty plasma (April 2026)",
      "notes": "Emory dusty plasma non-reciprocal forces ~99% accuracy — incremental, not 'fundamental physics solved'",
      "source": "deep_research_enriched",
      "status": "partial",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.75,
      "source_url": "https://www.sciencedaily.com/releases/2026/04/260422044635.htm",
      "expected_date": "2026-04-22",
      "observed_date": "2026-04-22",
      "research_origin": "deep_research",
      "measurement_criterion": "Peer-reviewed AI-discovered physics result published in fundamental science domain"
    },
    {
      "kind": "prereq",
      "label": "Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) a",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -5,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Training runs costing $10 billion for a single model will commence sometime in 2025.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -4,
      "source_id": "SEM_008",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "2025 will be the definitive year that agentic systems finally hit the mainstream.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -3,
      "source_id": "SEM_042",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Recursive self-improvement is already happening now (no longer three years out)",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -2,
      "source_id": "238_009",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "Major AI lab (DeepMind/Anthropic/OpenAI) publishes claim of meaningful progress on a Millennium Problem or Standard Model gap",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.3,
      "source_url": "https://www.cam.ac.uk/research/news/new-ai-models-trained-on-physics-not-words-are-driving-scientific-discovery",
      "expected_date": "
... (truncated)