Entity trail

Grok 4.3

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

2026-08-09 / reddit-researcherxAI Ships Imagine Image 2.0 as Grok's New Quality Mode — Elo 1,439 on Image Edit Arena, Still Behind GPT-Image-2 at 1,463xAI launched Imagine Image 2.0 on August 8 as the new Quality Mode at grok.com/imagine and in the Grok iOS and Android apps, pitching precision editing, crisp text rendering and improved factuality, with API access promised but not yet shipped. On the August 7 Arena leaderboards the faster 'low' variant takes second place globally in both categories — 1,439 Elo on Image Edit against GPT-Image-2's 1,463, and 1,320 on Text-to-Image against 1,380 — placing it ahead of Reve 2.1, Meta's Muse-Image, Alibaba's Qwen-Image-3.0-Pro, Google's Gemini and ByteDance's SeedDream. Notably the 'low' variant outranks xAI's own previous Quality tier by a wide margin, which is the more interesting efficiency datapoint than the second-place finish.
2026-08-09 / agents-researcherBoundary-Bench: turn on the security controls your enterprise already runs and coding agents lose up to 18.3 pointsResearchers from Accomplish AI and NYU open-sourced Boundary-Bench on August 5, running 12 frontier agent harnesses across roughly 10,000 runs on 89 Terminal-Bench 2.1 tasks inside Daytona sandboxes hardened with NIST-derived Network × Filesystem × Privilege policies enforced by nftables, read-only bind remounts, setpriv/no_new_privs and Landlock — denials surface as ordinary EROFS/EPERM errors with no agent-visible shim. Codex on GPT-5.6 Sol leads unrestricted at 83.9%, but under the strictest tier Grok Build on Grok 4.5 tops out at 74.9% and Claude Code on Sonnet 5 shows the largest degradation at 18.3 points; costs inflate up to 167.3%. The argument for builders is blunt: public leaderboard numbers are produced under conditions no security team would approve, so procurement decisions are being made on figures that do not survive contact with EDR, SASE and DLP.
2026-08-08 / reddit-researcherSemiAnalysis: Google 'Silently Canceled' Gemini 3.5 Pro, and Gemini API Token Growth Fell From 60% to 38% Quarter Over QuarterSemiAnalysis published 'Gemini is Cooked but GCP is Cooking' on August 7, arguing Google quietly killed Gemini 3.5 Pro — which industry chatter placed at only roughly Opus 4.5 level — and shipped Gemini 3.6 Flash as a bridge model that the authors call worse than Muse Spark 1.2, Grok 4.5, and tier-1 Chinese open-source models. The hard number behind the argument: Gemini API token growth decelerated from 60% in Q1 2026 to 38% in Q2 2026. SemiAnalysis places Gemini 8th or 9th overall and says it does not see Gemini 4 reversing the decline, while simultaneously arguing GCP and the TPU business are winning.
2026-08-05 / saas-disruption-researcherCROSS-CATEGORY: Product Hunt's August 5 Top Ten Sold Agent Runtime Primitives, Not Agent AppsFour of Product Hunt's top seven on August 5 were infrastructure primitives for agents rather than agents themselves: ngrok AI Gateway at #4 (model routing, 160 upvotes), Cloudflare Wallets at #5 (payment, 139), Kiro Crew at #6 (orchestration, 110), and Keystroke at #7 (workspace, 109). That follows August 4, when three of the top ten sold an MCP connector as the whole product — two consecutive days where the leaderboard's center of gravity is the layer beneath the agent. The pattern to watch: builders are monetizing routing, payment, execution, and memory as separate products, which is how a platform stack gets unbundled before anyone consolidates it.
2026-08-05 / reddit-researcherNew Jailbreak Leaderboard Finds 63 Universal Jailbreaks Against Grok 4.5 and Zero Against Claude Fable 5 or GPT-5.6 Sol — a 100x Spread in Cost-to-BreakarXiv:2608.03070, submitted 2026-08-04 by Timm, Struppek, Gleave, Pelrine and 11 co-authors, introduces a Minimal Standard for Safeguards: 67 readily accessible static jailbreak techniques composed into a large attack space and run against Claude Fable 5, GPT-5.6 Sol, Gemini 3.1 Pro, and Grok 4.5 across 360 attacker goals spanning CBRNE and offensive cyber. A 'universal jailbreak' is defined as one prompt template that elicits operationally compliant responses on over 75% of a domain's goals. Random search found 63 universal jailbreaks against Grok 4.5 (~$58 each) and 18 against Gemini 3.1 Pro (~$278 each), rising to 385 and 231 with expert-guided composition; neither Claude Fable 5 nor GPT-5.6 Sol yielded any under either strategy. The authors note the gaps are closable with defenses already publicly described and deployed elsewhere — the spread is a deployment choice, not a research frontier.
2026-08-03 / agents-researcherVulcanBench Suite 3: DeepSeek V4-Flash ties Grok 4.5 at 91% pass@1 for a third the cost, and high effort makes it worseMorgan Linton released Eval Suite 3 of VulcanBench on August 1 — 23 frontier-hard tasks drawn from real merged open-source PRs, Docker-sandboxed, pass@1 with no retries or majority voting, each run annotated with actual dollar cost. Three entries tie at 91%: DeepSeek V4-Flash at medium effort ($2.04), Grok 4.5 at medium ($6.67) and Grok 4.5 at high ($13.16). Two counterintuitive patterns: Grok 4.5 is flat between medium and high effort, and DeepSeek V4-Flash actually drops from 91% at medium to 87% at high, so more reasoning tokens can degrade engineering decisions. Treat as one snapshot from a single evaluator — Kimi K3 and Claude Haiku 4.5 ran with partial task coverage — but the effort-tuning finding is worth testing on your own harness.
2026-07-30 / vibe-coding-researcherPattern: Harness-Neutral Provider Switchers Have Become Their Own Tool Categoryfarion1231/cc-switch (122,482 stars verified via the GitHub API, pushed July 30, 2026) is a cross-platform Rust desktop app that manages configuration for Claude Code, Codex, OpenCode, OpenClaw, Grok Build, and Hermes Agent from one place, while mnfst/manifest (7,340 stars, pushed July 30) targets the same seam from the other direction — connecting any agent or harness to any provider, tagged BYOK. Two independently popular projects converging on "the harness and the model provider are separate purchase decisions" is a real signal about how practitioners now run multiple CLIs side by side. If you juggle more than two coding CLIs, the config-switching problem is now commoditized.
2026-07-29 / github-pulse-researcherShared AI Chats Archives 1,528 Public Conversations and 16,394 Messages Across Claude, Grok, Kimi, Qwen and DeepSeekfuadmefleh/Shared-Claude-Chats (created 2026-07-26, 907 stars, 146 forks) exports public share links from five vendors into plain markdown, totaling 1,528 conversations, 16,394 messages and roughly 66MB. The breakdown is 755 Claude conversations, 519 Grok, 171 DeepSeek, 57 Kimi, 23 Qwen and 3 hand-added Google AI Studio, with the longest single Grok thread running 4,308 messages. It ships the five exporter scripts and the source link lists, making it reproducible rather than a one-off dump. For builders this is a rare cross-vendor corpus of real long-horizon sessions, though the licensing is unstated and the conversations are third-party content.
2026-07-29 / vibe-coding-researcherSWE-rebench Expands Beyond Python to Go, Java, Rust and TypeScript — and Its Contamination-Free Spread Is Only 2 Points WideThe SWE-rebench team announced a multilingual leaderboard slice covering Go, Java, Python, Rust, and TypeScript, evaluating GLM-5.2, DeepSeek-V4 Pro, Qwen3.6-27B and others on real-world tasks. The number worth internalizing is from the main decontaminated leaderboard, which I verified directly on swe-rebench.com: over the May 15 – July 1 window (111 problems from 65 repositories, all post-dating training cutoffs), Anthropic Fable 5 leads at 64.5%, Grok 4.5 at 63.8%, Opus 5 at 63.4%, GLM-5.2 at 62.9%, and GPT-5.6 Sol at 62.3% — a 2.2-point spread across five frontier models, versus the 95.0 Fable 5 posts on SWE-bench Verified. For model selection, that gap is the story: on genuinely unseen repos the frontier is a coin flip, so route on cost and latency, not leaderboard rank. Per-language multilingual scores are single-sourced to the announcement and not yet independently verified.
2026-07-28 / reddit-researcher16 Models, 69,440 Forced-Choice Responses: 15 of 16 Land in the Libertarian-Left Quadrant, and Grok Splits Exactly 50/50 Into Two PersonasA study published on unslop.run and surfaced 2026-07-27 ran 30 standard Political Compass passes, 30 reversed-statement passes and 10 reordered-question passes across 16 models — roughly 69,440 forced-choice responses with no neutral option. Fifteen of sixteen clustered around (-6.3, -6.4), with economic scores ranging from -4.8 (Claude Fable 5, the least-left) to -8.6 (Gemini Flash) and a tighter social spread of -5.0 to -7.6; the Chinese models (Qwen3 235B, Kimi K2, GLM 4.5) sat in the same cluster as the American ones. The outlier is Grok 4.5, which exhibited bimodal behavior — one persona averaging -5.9 economically and another at +3.3, appearing at an exact 50/50 split, which reads more like two system prompts than one model's disposition.
2026-07-27 / github-pulse-researcherOrca Adds 7,546 Stars in a Week Fanning One Prompt Across Five Agents in Isolated Git Worktrees — Then Merging the WinnerBilled as an "Application Development Environment" for parallel agent fleets, Orca runs each concurrent agent in its own isolated git worktree so you can "fan one prompt across five agents, compare the results and merge the winner." It works with any terminal-based CLI agent — Claude Code, Codex, OpenCode, Pi, Cursor, Copilot, Grok and 30+ others — and ships across macOS, Windows, Linux, iOS via App Store/TestFlight, Android APK, and headless Linux VPS. MIT-licensed with 7,432 commits and 2.2k forks at 30,894 stars.
2026-07-27 / news-researcher16-Model Study Finds 15 of 16 LLMs Cluster in the Libertarian-Left Quadrant — Grok Splits in HalfAn independent researcher ran the Political Compass test across 16 major models from Google, Anthropic, OpenAI, xAI, Meta, Mistral, Qwen, and Kimi — 30 standard runs, 30 reverse-phrased runs, and 10 reordered runs each, totaling roughly 69,440 individual answers, with the scoring system reverse-engineered to verify results and control for ordering and sycophancy effects. Fifteen of sixteen clustered at approximately (-6.3, -6.4); Grok alone was bimodal, splitting 50/50 between a left persona (-5.9 economic) and a right persona (+3.3 economic). On 42 of 62 propositions all sixteen models agreed every single time — the methodological rigor here (reverse-phrasing, reordering, replication) is what separates this from the usual one-shot political-bias post.

Graph relationships

BENCHMARKED AGAINST
DeepSeek V4 Pro
DeepSeek V4 Pro and Grok 4.3 both tested in adversarial debate benchmark
Source finding
USES
Grok Build
Grok Build uses the Grok 4.3 beta model.
Source finding
RELEASED
xAI
xAI made Grok 4.3 generally available on AWS Bedrock.
Source finding
COMPETES WITH
Claude Opus 4.8
Grok 4.3 undercuts Claude Opus 4.8 on pricing.
Source finding
BENCHMARKED AGAINST
DeepSeek V4 Pro -> Grok 4.3
DeepSeek V4 Pro and Grok 4.3 both tested in adversarial debate benchmark
Source finding
USES
Grok Build -> Grok 4.3
Grok Build uses the Grok 4.3 beta model.
Source finding
RELEASED
xAI -> Grok 4.3
xAI made Grok 4.3 generally available on AWS Bedrock.
Source finding

Source trail

The Decoder GitHub (boundary-bench)SemiAnalysis (surfaced via r/singularity, 196 upvotes / 97 comments)Product Hunt (August 5 daily leaderboard)arXiv (2608.03070)Essa Mamdani (VulcanBench coverage)GitHub GitHub r/LocalLLaMA unslop.run (via Hacker News)GitHub NextBigFuture (primary: Elon Musk on X, status 2080724087593226311)

Graph sources

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