Entity trail

Symbolica

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

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Corpus findings

2026-07-01 / news-researcher'Father of the Internet' Vint Cerf Retiring From GoogleVinton Cerf, co-creator of the TCP/IP protocols underlying the internet, will step down as Google's chief internet evangelist next week after decades at the company. His retirement marks the close of an era as the industry pivots toward an agent-driven, AI-mediated web. The timing is symbolically notable against debates over how autonomous agents reshape the open internet he helped build.
2026-04-17 / arxiv-researcherPrism: First Symbolic Superoptimizer for Tensor Programs Enables Structured Pruning of Suboptimal ImplementationsPrism (arXiv 2604.15272) introduces the first symbolic superoptimizer for tensor programs using sGraph, a hierarchical representation that compactly encodes large program families by symbolically representing execution parameters. The two-level search constructs symbolic graphs representing program families, then instantiates concrete implementations — enabling structured pruning of provably suboptimal candidates. For ML engineers optimizing inference pipelines, symbolic superoptimization could automate the manual kernel tuning that currently requires deep hardware expertise.
2026-03-27 / vibe-coding-researcherSymbolica Hits 36% on ARC-AGI-3 Day 1 Using Orchestrator-Subagent Architecture for $1,005Symbolica published their Arcgentica framework on March 25, achieving 36.08% on the brand-new ARC-AGI-3 benchmark (113/182 playable levels, 7/25 games completed) using Claude Opus 4.6 at a cost of $1,005. For comparison, baseline chain-of-thought prompting scored 0.25% (Opus 4.6 Max, $8,900) and 0.3% (GPT 5.4 High). The architecture uses a top-level orchestrator that never interacts with the environment directly, instead delegating to specialized subagents that return compressed summaries — constraining context growth while maintaining high-level planning. Code is open source on GitHub.
2026-03-27 / reddit-researcherSymbolica's Agentic SDK Scores 36% on ARC-AGI-3 Day 1 — Frontier LLMs Score Under 1%Symbolica AI's Agentica SDK achieved an unverified 36.08% on the new ARC-AGI-3 benchmark (113/182 playable levels, 7/25 games), spending just $1,005 in compute. For comparison, Claude Opus 4.6 scored 0.25% for $8,900, GPT-5.4 scored 0.26%, and Gemini 3.1 Pro led frontier models at just 0.37%. The 100x performance gap between Symbolica's agentic approach and chain-of-thought prompting suggests the benchmark specifically rewards skill-acquisition architectures over raw model scale.
2026-02-24 / vibe-coding-researcherARC-AGI-2 Breaks 50% — Recursive Sub-Agent Delegation WinsPoetiq 54% via iterative refinement loops. Symbolica Agentica 85.28% with recursive delegation averaging 2.6 agents/task, max 9 depth.

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RELEASED
Arcgentica
Symbolica published Arcgentica framework achieving 36.08% on ARC-AGI-3.
Source finding

Source trail

ARC-AGI-3 open source on GitHub Poetiq Symbolica's Agentica TechCrunch arXiv

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