Comparison
GSM-IC vs ai-berkshire
Verdict
Pick GSM-IC if gSM-IC is a benchmark dataset that evaluates the distractibility of language models by introducing irrelevant context into grade-school math problems; pick ai-berkshire if ai-berkshire implements a unique approach to value investing research through AI agents powered by Claude Code/Codex, inspired by the methodologies of Warren Buffett and Charlie Munger amongst other investors. The tool's.
Markdown twin · GSM-IC alternatives · ai-berkshire alternatives
GraphCanon updated Sep 20, 2026
5views this month
vs
Trust & integrity
| Signal | GSM-IC | ai-berkshire |
|---|---|---|
| Maintenance | Archived (1312d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- GSM-IC
- GSM-IC benchmark evaluates distractibility of language models with grade-school math problems and irrelevant context.
- ai-berkshire
- AI-era Berkshire: a value investing research framework utilizing Claude Code / Codex with methodologies from Warren Buffett, Charlie Munger among others and multi-Agent adversarial analysis.
Stars
- GSM-IC
- 67
- ai-berkshire
- 16k
Forks
- GSM-IC
- 2
- ai-berkshire
- 2.5k
Open issues
- GSM-IC
- 1
- ai-berkshire
- 39
Language
- GSM-IC
- -
- ai-berkshire
- HTML
Adopt for
- GSM-IC
- GSM-IC is a benchmark dataset that evaluates the distractibility of language models by introducing irrelevant context into grade-school math problems.
- ai-berkshire
- ai-berkshire implements a unique approach to value investing research through AI agents powered by Claude Code/Codex, inspired by the methodologies of Warren Buffett and Charlie Munger amongst other investors. The tool's
Persona
- GSM-IC
- -
- ai-berkshire
- -
Runtime
- GSM-IC
- -
- ai-berkshire
- -
License
- GSM-IC
- License information is not provided in the repository.
- ai-berkshire
- MIT
Last pushed
- GSM-IC
- Feb 13, 2023
- ai-berkshire
- Sep 19, 2026
Categories
- GSM-IC
- Evaluation & Observability
- ai-berkshire
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- GSM-IC
- Archived (8%)
- ai-berkshire
- Very active (96%)
Days since push
- GSM-IC
- 1312d
- ai-berkshire
- 0d
Archived on GitHub
- GSM-IC
- Yes
- ai-berkshire
- No
Open issues (now)
- GSM-IC
- 1
- ai-berkshire
- 39
Stars delta
- GSM-IC
- 0 (30d)
- ai-berkshire
- +2.3k (30d)
Open issues delta
- GSM-IC
- 0 (30d)
- ai-berkshire
- +10 (30d)
Owner type
- GSM-IC
- Organization
- ai-berkshire
- User
Full report
- GSM-IC
- Trust report
- ai-berkshire
- Trust report
Choose GSM-IC if…
- Pricing: Pricing details are not available..
- Requirements: The dataset is derived from GSM8K and includes irrelevant context in problem descriptions to test the distractibility of language models..
- Tags unique to GSM-IC: arithmetic reasoning, benchmark, distractibility, grade-school math.
- Use GSM-IC when you need to assess how well a language model can focus on relevant information in arithmetic reasoning tasks, especially when faced with distracting irrelevant context.
When NOT to use GSM-IC
- Avoid GSM-IC if your evaluation focuses on the model's ability to solve math problems without any form of distraction or if the context is always assumed to be relevant.
- Do not use GSM-IC if your primary interest is in evaluating the model's performance on pure arithmetic tasks without the added complexity of irrelevant context.
Choose ai-berkshire if…
- Tags unique to ai-berkshire: ai, financial-analysis, investment-research, portfolio-management.
- Also covers AI Agents.
- You need to leverage multi-Agent adversarial analysis for deep fundamental stock market assessment aligned with renowned investor philosophies.
When NOT to use ai-berkshire
- If your investment research requires real-time trading data or dynamic algorithmic trading strategies which are not the tool's expertise.
- When you prefer a more manual or traditional approach to value investing that does not integrate AI-driven adversarial agent methodologies.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (google-research-datasets/GSM-IC) · observed Sep 20, 2026
- GitHub forks (google-research-datasets/GSM-IC) · observed Sep 20, 2026
- Last push (google-research-datasets/GSM-IC) · observed Feb 13, 2023
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (xbtlin/ai-berkshire) · observed Sep 20, 2026
- GitHub forks (xbtlin/ai-berkshire) · observed Sep 20, 2026
- Last push (xbtlin/ai-berkshire) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: GSM-IC 67 · ai-berkshire 16k (synced Sep 20, 2026).
Common questions
- What is the difference between GSM-IC and ai-berkshire?
- GSM-IC: GSM-IC benchmark evaluates distractibility of language models with grade-school math problems and irrelevant context.. ai-berkshire: AI-era Berkshire: a value investing research framework utilizing Claude Code / Codex with methodologies from Warren Buffett, Charlie Munger among others and multi-Agent adversarial analysis.. See the comparison table for live GitHub stats and shared categories.
- When should I choose GSM-IC over ai-berkshire?
- Choose GSM-IC over ai-berkshire when Pricing: Pricing details are not available.; Requirements: The dataset is derived from GSM8K and includes irrelevant context in problem descriptions to test the distractibility of language models.; Tags unique to GSM-IC: arithmetic reasoning, benchmark, distractibility, grade-school math; Use GSM-IC when you need to assess how well a language model can focus on relevant information in arithmetic reasoning tasks, especially when faced with distracting irrelevant context.
- When should I choose ai-berkshire over GSM-IC?
- Choose ai-berkshire over GSM-IC when Tags unique to ai-berkshire: ai, financial-analysis, investment-research, portfolio-management; Also covers AI Agents; You need to leverage multi-Agent adversarial analysis for deep fundamental stock market assessment aligned with renowned investor philosophies.
- When should I avoid GSM-IC?
- Avoid GSM-IC if your evaluation focuses on the model's ability to solve math problems without any form of distraction or if the context is always assumed to be relevant. Do not use GSM-IC if your primary interest is in evaluating the model's performance on pure arithmetic tasks without the added complexity of irrelevant context.
- When should I avoid ai-berkshire?
- If your investment research requires real-time trading data or dynamic algorithmic trading strategies which are not the tool's expertise. When you prefer a more manual or traditional approach to value investing that does not integrate AI-driven adversarial agent methodologies.
- Is GSM-IC or ai-berkshire more popular on GitHub?
- ai-berkshire has more GitHub stars (16,451 vs 67). Stars measure visibility, not whether either tool fits your constraints.
- Are GSM-IC and ai-berkshire open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to GSM-IC or ai-berkshire?
- GraphCanon lists graph-backed alternatives at GSM-IC alternatives and ai-berkshire alternatives (GSM-IC markdown twin, ai-berkshire markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, GSM-IC or ai-berkshire?
- GSM-IC: Archived. ai-berkshire: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for GSM-IC and ai-berkshire?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: GSM-IC trust report; ai-berkshire trust report.