← Cockpit
248_022predictionMarkets/StocksAI-timing

Deepseek-style hyperdeflation moments from algorithmic innovation will become more frequent but less effective at causing price swings.

Predictor: Alex Wissner-Gross · ep#248 "Sam Altman's Attack, Amazon vs. Starlink, and What Opus 4.7 Actually Means | #248" · source

Prior probability
50.0%
Current probability
42.3%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2026-06-01 – 2026-06-30
Edges in / out
8 / 5
Tickers exposed
33

Prediction text

Deepseek-style hyperdeflation moments from algorithmic innovation will become more frequent but less effective at causing price swings. | These are becoming more frequent and they're also becoming less effective at causing price swings... I think we're going to see stories like this more and more frequently with just shocking advances in in algorithmic efficiency that are predicted to to disrupt the entire economy and actually do the exact opposite.

Verbatim quote

From episode "Sam Altman's Attack, Amazon vs. Starlink, and What Opus 4.7 Actually Means | #248"
These are becoming more frequent and they're also becoming less effective at causing price swings... I think we're going to see stories like this more and more frequently with just shocking advances in in algorithmic efficiency that are predicted to to disrupt the entire economy and actually do the exact opposite.

Predictor: Alex Wissner-Gross

κ + Brier as of 2026-05-22
κ (discount)
0.844
Brier
0.0341
excellent
Hits / Misses
6 / 1
of 11 resolved
Hit rate
54.5%
Calibration plot (stated vs observed)

Evidence about this node from Alex Wissner-Gross is multiplied by κ in /api/intake. Lower κ = less weight; floors at 0.10 (effectively silenced) and caps at 1.00 (full weight).

Reference class

Not linked

This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.

Probability over time

4 prob_history rows
0%25%50%75%100%prior 50%2026-04-302026-05-032026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 42.3%

Milestone chain

Pre-event signals (upstream prereqs + window checkpoints) → resolution event → downstream cascades. Status/dates update from linked nodes; re-derive nightly via scripts/ops/derive_milestones.py.
Leading chain: 8 fired ✓
  1. 2025-01-27hitDeepSeek R1 January 2025 release triggers $300B+ single-day market move
    How: Crypto and equity markets sell off >$300B in single day on DeepSeek R1 efficiency revelation
    Source: https://markets.financialcontent.com/stocks/article/breakingcrypto-2026-1-12-the-deepseek-shock-how-ai-efficiency-shattered-the-crypto-market-in-2025conf 99%
    Notes: HIT — first DeepSeek shock had massive single-day market impact, anchoring the baseline.
  2. 2025-10-31hitNVIDIA reaches $5T market cap despite efficiency narrative
    How: NVIDIA crosses $5 trillion market capitalization, demonstrating that efficiency announcements have not durably destroyed compute demand premium
    Source: Public market data — NVIDIA hit $5T in October 2025conf 99%
    Notes: HIT — NVIDIA hit $5T cap in October 2025, validating the bull-thesis recovery and weakening 'efficiency reduces compute demand' narrative.
  3. 2026-01-06hitSubsequent DeepSeek-style efficiency announcements fail to repeat the January 2025 selloff
    How: Major financial press (CNBC, Bloomberg) explicitly reports that subsequent DeepSeek announcements did not produce repeat investor frenzy or comparable market dislocation
    Source: https://www.cnbc.com/2026/01/06/why-deepseek-didnt-cause-an-investor-frenzy-again-in-2025.htmlconf 99%
    Notes: HIT — CNBC explicitly confirms market desensitization to DeepSeek-style announcements, directly validating Wissner-Gross's claim that price-swing magnitude diminishes.
  4. 2026-01-01 → 2026-12-31pendingFrequency of algorithmic-efficiency announcements rises (≥5 named events/year)
    How: Industry tracking shows ≥5 distinct major algorithmic-efficiency announcements in 2026 from labs (Chinese open-source, US labs, etc.) cited by major financial press as 'DeepSeek moments'
    Source: Industry analyst reports, Bloomberg / Reuters AI deskconf 65%
    Notes: Frequency rising directly supports Wissner-Gross's 'more frequent' framing.
  5. 2026-04-01 → 2026-12-31pendingSingle-day market reaction to a 2026 algorithmic-efficiency announcement is <50% of January 2025 magnitude
    How: When a major DeepSeek-style announcement lands in 2026, AI stock complex single-day reaction is less than half the magnitude of the January 27 2025 reaction (≤$150B move)
    Source: Bloomberg / Reuters market dataconf 70%
    Notes: Directly tests 'less effective at causing price swings'. Confidence high because pattern already visible in 2025-2026 reactions.
  6. 2036-09-06pendingMoon base will exist in 10 years

What if this resolves?

Clamp this prediction TRUE or FALSE and run a counterfactual Gibbs sample. Surfaces the predictions whose marginals shift most under that assumption.
(live posterior: 42%)

Click a button to clamp this prediction and run a Gibbs sample. Returns the predictions whose marginals shift most. ~30s per run; ideal for stress-testing "if X resolves, what else moves?"

Evidence chain

Every probability update with full Bayesian provenance — chronological, latest first
LBP2026-05-17T02:00:01Z42.3%-1.0pp
Network propagation: 43.4% → 42.3%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-03T02:00:01Z43.4%-1.4pp
Network propagation: 44.8% → 43.4%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z44.8%-2.1pp
Network propagation: 46.9% → 44.8%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z46.9%-3.1pp
Network propagation: 50.0% → 46.9%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

Top incoming (parents)

Edges that influence THIS node's belief

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.5000.050-0.046
prereq235_038
David Sinclair begins partial epigenetic reprogramming trialPeter Diamandis
74.0%0.5000.050-0.043
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.5000.050-0.039
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.500+0.032
prereqSEM_008
Training runs costing $10 billion for a single model will coDario Amodei
76.9%0.5000.050-0.031

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq246_016
Dragonfly nuclear-powered octicopter arrives at Titan in 203Peter Diamandis
35.6%0.6500.050-0.056
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050-0.050
prereq240_036
TEPCO's restarted reactor will support 20% of Japan's electrPeter Diamandis
34.3%0.6500.050-0.042
prereq239_008
Moon base will exist in 10 yearsElon Musk
28.8%0.5500.050-0.029
prereqSEM_034
True artificial general intelligence will be achieved betweeDemis Hassabis
28.7%0.5500.050-0.028

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (8)

Predictions that must hit first
TypePredTitleDomainLag
prereq238_009Recursive self-improvement is already happening now (no longer three years out)AI
prereq235_038David Sinclair begins partial epigenetic reprogramming trials with Life Biosciences in March 2026.Biotech/Longevity
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.AI
prereqSEM_012Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.AI/Manufacturing
prereqSEM_0422025 will be the definitive year that agentic systems finally hit the mainstream.AI/Agents
killerTK14Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq235_030Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 2033.Biotech/Longevity
prereq246_016Dragonfly nuclear-powered octicopter arrives at Titan in 2034.Space
prereq240_036TEPCO's restarted reactor will support 20% of Japan's electric needs by 2040Energy
prereqSEM_034True artificial general intelligence will be achieved between 2032 and 2042 — 'first we solve AI, then use AI to solve everything else'.AI/AGI
prereq239_008Moon base will exist in 10 yearsSpace

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": true,
  "url": "https://www.youtube.com/watch?v=LVvleNtllPk",
  "mode": "PREDICTION",
  "role": "Host",
  "caveats": "not investment advice",
  "context": "if anything memory usage is increasing, stock prices of memory companies, many of which are in the the greater South Korea orbit are increasing as well, not investment advice.",
  "to_year": 2026,
  "verbatim": "These are becoming more frequent and they're also becoming less effective at causing price swings... I think we're going to see stories like this more and more frequently with just shocking advances in in algorithmic efficiency that are predicted to to disrupt the entire economy and actually do the exact opposite.",
  "conv_cues": "I think",
  "direction": "MIXED",
  "from_year": 2026,
  "timeframe": "ongoing",
  "conv_level": "MEDIUM",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "DeepSeek R1 January 2025 release triggers $300B+ single-day market move",
      "notes": "HIT — first DeepSeek shock had massive single-day market impact, anchoring the baseline.",
      "source": "https://markets.financialcontent.com/stocks/article/breakingcrypto-2026-1-12-the-deepseek-shock-how-ai-efficiency-shattered-the-crypto-market-in-2025",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://markets.financialcontent.com/stocks/article/breakingcrypto-2026-1-12-the-deepseek-shock-how-ai-efficiency-shattered-the-crypto-market-in-2025",
      "expected_date": "2025-01-27",
      "observed_date": "2025-01-27",
      "research_origin": "deep_research",
      "measurement_criterion": "Crypto and equity markets sell off >$300B in single day on DeepSeek R1 efficiency revelation"
    },
    {
      "kind": "llm_pre_event",
      "label": "NVIDIA reaches $5T market cap despite efficiency narrative",
      "notes": "HIT — NVIDIA hit $5T cap in October 2025, validating the bull-thesis recovery and weakening 'efficiency reduces compute demand' narrative.",
      "source": "Public market data — NVIDIA hit $5T in October 2025",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://markets.financialcontent.com/stocks/article/breakingcrypto-2026-1-12-the-deepseek-shock-how-ai-efficiency-shattered-the-crypto-market-in-2025",
      "expected_date": "2025-10-31",
      "observed_date": "2025-10-31",
      "research_origin": "deep_research",
      "measurement_criterion": "NVIDIA crosses $5 trillion market capitalization, demonstrating that efficiency announcements have not durably destroyed compute demand premium"
    },
    {
      "kind": "llm_pre_event",
      "label": "Subsequent DeepSeek-style efficiency announcements fail to repeat the January 2025 selloff",
      "notes": "HIT — CNBC explicitly confirms market desensitization to DeepSeek-style announcements, directly validating Wissner-Gross's claim that price-swing magnitude diminishes.",
      "source": "https://www.cnbc.com/2026/01/06/why-deepseek-didnt-cause-an-investor-frenzy-again-in-2025.html",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.cnbc.com/2026/01/06/why-deepseek-didnt-cause-an-investor-frenzy-again-in-2025.html",
      "expected_date": "2026-01-06",
      "observed_date": "2026-01-06",
      "research_origin": "deep_research",
      "measurement_criterion": "Major financial press (CNBC, Bloomberg) explicitly reports that subsequent DeepSeek announcements did not produce repeat investor frenzy or comparable market dislocation"
    },
    {
      "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",

... (truncated)