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SWE-bench Verified — May 2026 agentic-coding leaderboard (pass@1 %)
Model
Latency
Cost
Verdict
Claude Mythos Preview (restricted)
0ms
—
Win
GPT-5.5
0ms
—
Win
Claude Opus 4.8
0ms
—
Win
Claude Opus 4.7 (Adaptive)
0ms
—
Tie
GPT-5.3-Codex
0ms
—
Tie
Gemini 3.1 Pro
0ms
—
Loss
DeepSeek V4 Pro Max (open-weight)
0ms
—
Loss
Published accuracy leaderboard, NOT a measured-latency run: `latency_ms` is set to 0 (not applicable) and token/cost fields are omitted on every row — the verified datum is the pass@1 % in each `response`. Scores are compiled from public SWE-bench Verified leaderboards (swebench.com, llm-stats.com, benchlm.ai, andrew.ooo, marc0.dev) snapshotted ~2026-05-28; exact numbers vary by harness, scaffold, and snapshot date, so treat ±1-2 points as noise. Verdict tiers (accuracy, not speed): win = 88%+, tie = 84-87.9%, loss = under 84%. Claude Mythos Preview is a restricted-access model; its 93.9% is reported but most teams cannot run it. Takeaways: (1) the frontier has compressed — the top three (Mythos 93.9, GPT-5.5 88.7, Opus 4.8 88.6) are within ~5 points; (2) agentic-coding pass rates above 88% mean the benchmark itself is saturating and SWE-bench Pro / Terminal-Bench Hard are becoming the better discriminators; (3) open-weight DeepSeek V4 Pro Max at 80.6 trails the closed frontier by ~13 points but is closing.
As of2026-05-1470+Cybercab~50Robotaxi30,000BMW19articles
Robotaxi / Cybercab
70+Cybercabs at Giga Texas+30 vs 5/8
~50Active Robotaxis (Austin)
3Live citiesAustin · Dallas · Houston
$0.20Target $ / mile
Humanoid / Figure AI
30,000BMW vehicles built with F.02
90,000+Parts moved at BMW
8hHelix-02 livestream length
Figure 02 / Helix-02Top humanoid deployment
Cybercab volume production started April 2026 at Giga Texas. Figure 02 has been running on the BMW Spartanburg line; Helix-02 powered an unedited 8-hour livestream on May 13, 2026.
Innovus · Genus · Tempus · Tensilica · IPProduct lines
Cerebrus AI P&RFlagship productCerebrus AI-driven place-and-route
JedAIAI-driven EDAJedAI platform
~$70BMarket capAI/DSP processor IP cores
Six picks-and-shovels plays on hyperscale AI: ALAB (connectivity silicon), CRDO (active electrical cables + SerDes IP), ARM (CPU/GPU IP — every smartphone + Neoverse for AI servers), RMBS (memory IP — HBM4, DDR5 RCDs, PCIe Gen6 PHYs), SNPS + CDNS (the EDA duopoly that designs every AI accelerator).
4Equipment segmentsInspection · Metrology · Reticle · Service
BBPFlagship productBroadband Plasma BBP
~80%Market position~80% advanced-node share
The deeper picks-and-shovels: Applied Materials (AMAT), Lam Research (LRCX), and KLA (KLAC) sell the machines that build every chip. AMAT owns breadth (deposition, etch, CMP, implant). LRCX owns high-aspect-ratio etch — directly leveraged to HBM and 3D NAND scaling. KLA owns process control at advanced nodes (~80% share). Every additional AI chip is incremental WFE demand.
Cross-sector tracker for AI-exposed listed equities — compute, hyperscalers, foundry + WFE, memory, infra IP, EV. Each article pairs current market cap with 2030 projections plus latest revenue YoY %.
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2 volumes · 14 cinematic frames · patience, freedom, compounding, and what truly matters.
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