Tools chosen: polymarket_direct polymarket_related kalshi_related claude_news gdelt_news code_execution

Sub-questions (Fermi decomposition)

Planner reasoning

This is a Polymarket question about whether OpenAI's 'Astra' model will debut on the Arena.AI text leaderboard (no style control) at a score of at least 1490. Key drivers are the current top of the leaderboard, typical debut score jumps for new frontier models, timing/likelihood of Astra appearing before Dec 31 2026, and the ladder of sibling threshold markets which implies a market-derived distribution over debut scores.

# Current state Astra is OpenAI's unreleased, internally-paused "next major model" (disclosed by name Aug 1, 2026); it has no public release date, no API access, and has NOT appeared on the Arena.AI/LMArena leaderboard yet. Resolution requires Astra to (1) actually appear on the leaderboard (non-AutoEval) by Dec 31, 2026 AND (2) debut at a displayed score ≥1490. # Timeline of key events - **2026-08-01** (confirmed): OpenAI publicly names "Astra" as its next major model in a blog post ("Ten advances in mathematics"), describing it as a new tier alongside July's Sol/Terra/Luna releases, not a GPT-5.6 patch. - **2026-08-01/02** (reported, BleepingComputer): Astra reportedly solved 10 long-standing math problems (geometry, coding theory, complexity, cryptography, combinatorics); OpenAI has not decided final branding (GPT-5.7, GPT-6, or "Astra" itself). - **2026-08-01/02** (reported, The Hacker News): OpenAI's preliminary evals flag Astra may hit "Critical" cyber capability level; internal activities involving Astra are being paused pending enhanced security controls (isolated environments, restricted tool/network access, weight protections). - **Ongoing, as of research date** (confirmed via absence of evidence): No LMArena/Arena.AI listing for Astra exists; model remains internal-only with no public access. # Event Will OpenAI's Astra model debut on the Arena.AI Text Leaderboard (no style control) at a score of at least 1490? # Outcomes to forecast - Yes (Astra debuts at ≥1490) - No (Astra debuts below 1490, is AutoEval-only, doesn't appear by Dec 31 2026, or naming/consensus fails to qualify) # Kalshi market anchor No direct Kalshi price returned for this ticker in tool output; only Polymarket data available for the same event. **Polymarket YES price: 34.5%**, up +7pts over 7 days but down -27.5pts over 30 days (range 22.5%–62%, $21K volume, 19 data points) — suggesting the market has cooled substantially from an early-August peak near 62%, likely reflecting the safety-pause news reducing near-term release odds, with a small recent bounce. # Sub-question answers 1. **Current leaderboard scores** — Estimates vary by tracker: llm-stats.com puts the current #1 (Grok-4.1 Thinking) at 1483; localaimaster.com and swfte.com put Claude Opus 4.8 / Gemini 3.1 Pro / GPT-5.5 Pro cluster at ~1500–1525, with three models above the 1500 Elo barrier. Code-execution analysis anchors current top at ~1501 (Gemini 3 Pro, rescaled). OpenAI's best (GPT-5.5 Pro/GPT-5.6 Sol) sits roughly 1490–1510 per secondary sources — no primary lmarena.ai page was retrieved, so treat as approximate. [claude_news; code_execution] 2. **Astra release/availability** — No confirmed release date; internally paused over cyber-capability safety concerns; branding undecided (could ship as GPT-5.7, GPT-6, or "Astra"); not publicly accessible, so no Arena listing is imminent. [BleepingComputer, TheHackerNews via claude_news] 3. **Historical debut jumps** — Across 9 frontier debuts (Mar'24–Nov'25), jump vs. prior #1 ranged -9 to +51 Elo, mean +26.6, std 20.9 (e.g., Grok-4 debuted -9 below prior top; Gemini 3 Pro's +51 was largest on record). [code_execution] 4. **Sibling/related markets** — No sibling Polymarket threshold markets (≥1450, ≥1470, ≥1500) were found in the scan (0 matches for "Astra," "Arena leaderboard," "OpenAI model," "GPT-6"); only this single market's own price history is available. Kalshi has no Astra-specific market; a related "OpenAI/Anthropic IPO" market exists but is not informative here. [polymarket_related; kalshi_related] 5. **No-style-control vs. style-control scores** — Not directly quantified in research; the market explicitly uses no-style-control scores, and current cluster estimates (1480–1525) are presumed to already reflect that leaderboard variant per trackers cited, though exact style-control deltas weren't isolated in the data. Gap/unknown. 6. **AutoEval / branding risk** — Not directly addressed by research; the resolution rules explicitly exclude AutoEval-labeled entries and require confirmation the model is "Astra" (or a confirmed successor/rebrand). Given OpenAI hasn't settled naming (could ship as GPT-5.7/GPT-6), there's real risk of ambiguity in whether a future release counts as "Astra" under the rules — flagged as unresolved risk. [BleepingComputer] # Key facts (high-confidence, factual) 1. [OpenAI blog, Aug 1 2026] OpenAI publicly named "Astra" as its next major model in a math-focused announcement. 2. [TheHackerNews] OpenAI has paused internal Astra activities pending enhanced security controls due to potential "Critical" cyber capability. 3. [BleepingComputer] Final branding for the eventual release (Astra vs. GPT-5.7 vs. GPT-6) is undecided. 4. [multiple trackers] No official confirmation Astra has appeared on any Arena leaderboard. 5. [Polymarket] Market priced this event as high as 62% in early August, now down to 34.5%. # Cross-market signals - Kalshi related: No Astra-specific Kalshi market found; unrelated OpenAI/Anthropic IPO market at 93% (not informative). - Polymarket: Same-event market at 34.5% YES, down sharply from 62% peak — market has become more pessimistic, likely driven by safety-pause/no-release-date news rather than doubts about score threshold itself. - Sportsbook implied: N/A. # Analyst opinions and speculation - Code-execution model: conditional P(score≥1490 | Astra appears) ≈ 0.93–00.96 (bar is easy to clear vs. current ~1490–1501 frontier); P(Astra appears by Dec 31 2026) ≈ 0.35–0.65 (central ~0.5); combined estimate ≈ 0.35–0.55, point estimate ~0.45–0.50. - Multiple LLM-tracker sites disagree meaningfully on current top score (1483 vs. 1501 vs. 1525), reflecting real measurement/methodology noise on the leaderboard itself. # Directional lean per outcome - **Yes**: Conditional score bar (1490) is modest relative to current frontier (~1490–1525 cluster); historical debut jumps are usually positive (mean +26.6). Supports Yes *if* Astra reaches the leaderboard. - **No**: Dominant risk is non-appearance/timing — safety pause, undecided branding, no release date, and requirement to appear (non-AutoEval) by Dec 31 2026. Polymarket's steep 30-day decline (-27.5pts) suggests market increasingly doubts timely, qualifying release. Naming ambiguity (GPT-6 vs Astra) adds resolution risk. # Gaps / unknowns - No primary lmarena.ai leaderboard snapshot was retrieved; current top score estimates conflict (1483–1525). - No explicit Kalshi-direct price for this ticker was returned (only Polymarket cross-market data available). - No sibling threshold markets found to triangulate distribution shape. - Style-control vs. no-style-control score gap not quantified. - No visibility into OpenAI's actual internal timeline post safety-pause. # Calibration anchors - Polymarket YES price (cross-market anchor): 34.5%, recent range 22.5–62%. - Code-execution model point estimate: ~0.45–0.50. - Historical base rate: most frontier debuts land within ±20-30 Elo of prior leader; conditional-on-appearance clearance of 1490 is very likely (~93-96%), so probability is primarily gated by appearance/timing, not score level.

1. Both forecasts converge suspiciously to identical 0.370/0.630 despite independent framing—this suggests anchoring almost entirely on the Polymarket price rather than doing independent probability decomposition (P(appear) × P(score≥1490|appear)), which the brief explicitly supplies as separate estimates (~0.35-0.65 appearance, ~0.93-0.96 conditional clearance); neither forecaster shows their multiplication, so it's unclear if the 0.37 figure is actually consistent with those component estimates (0.5 × 0.95 ≈ 0.475, notably higher than 0.37). 2. Neither forecast grapples with the branding/naming resolution risk in depth—the brief flags real ambiguity (GPT-5.7 vs GPT-6 vs "Astra") that could cause a technically-qualifying model to not count under strict resolution criteria, which is a distinct failure mode from "no release" and could push No probability even higher than pure timing risk suggests. 3. Both treat Polymarket's 34.5% as a clean anchor, but the brief notes only $21K volume and 19 data points—thin liquidity that warrants a wider confidence interval and less deference than a deep, high-volume market would justify; neither forecaster discounts for this thinness. 4. Neither addresses the current leaderboard score disagreement (1483 vs 1501 vs 1525 across trackers) as a source of resolution ambiguity itself—if the "current frontier" is actually already at 1500-1525 (not ~1490), the conditional clearance probability could be meaningfully lower than the assumed 93-96%, since Astra would need a bigger jump than assumed. 5. Both forecasts ignore the possibility that Astra could appear on the leaderboard but under AutoEval only (explicitly excluded by resolution rules) for an extended period before a manual/official listing appears—given the safety pause and controlled rollout narrative, this seems like a plausible intermediate scenario that adds extra timing risk beyond simple "release or not." 6. Neither forecaster explains their "modest upward nudge" or "slightly above market" adjustment with a quantified rationale—both land at exactly 0.370, which reads as reverse-engineering a small bump rather than independently justifying why 34.5% Polymarket should move up (vs. down, given the naming/AutoEval risks compound rather than offset the easy score bar).

36% (54% confidence)

Yes: 36% No: 64%

Both forecasts agree at 0.37 and the critique's points partially offset: the decomposition (P(appear)≈0.5 × P(≥1490|appear)≈0.95 ≈ 0.475) argues upward, but the critique correctly notes that naming ambiguity (GPT-5.7/GPT-6 rebrand), AutoEval-only interim listings, and the ongoing safety pause all compound to reduce the probability of a *qualifying* appearance below a naive release estimate — effectively pulling P(qualifying appearance) toward ~0.40. Additionally, if the true frontier sits at 1500-1525 rather than ~1490, conditional clearance may be closer to ~0.90 than 0.95. Multiplying revised components (0.40 × 0.90 ≈ 0.36) lands consistent with the thin but directionally informative Polymarket price of 34.5%, so I stay near consensus with a hair of downward adjustment for the compounding resolution risks.

Total pipeline time: 185.8s