Foundation Models · since 2024

Reasoning Models

Models that "think before they answer" — generating long internal chains of thought and scaling capability with inference-time compute rather than just pre-training. Trained via RL on verifiable rewards (RLVR). OpenAI's o1 (2024) opened the axis; o3, Gemini "thinking", Claude extended thinking and DeepSeek-R1 followed. The defining frontier shift of 2024–26 and the engine behind reliable agents and AI-for-science.

6

events traced

6

source records

30 Jun 2026

first signal

6 Jul 2026

last activity

Who drove it

OpenAI (o-series)38%
Google (thinking)20%
Anthropic (extended thinking)20%
DeepSeek + open22%

Key movements

test-time

new scaling axis

87.5%

ARC-AGI (o3)

10–100×

inference cost premium

The story, event by event

Every point below is traced to a real source — nothing on this page is invented.

  1. 12 Sept 2024impact 88

    o1 — learning to reason

    value: test-time; metric: axis

  2. 20 Dec 2024impact 80

    o3 — frontier reasoning

    value: ARC-AGI; metric: benchmark

  3. 20 Jan 2025impact 76

    DeepSeek-R1 — open reasoning + RLVR

    value: open; metric: access

  4. 15 May 2026impact 65

    ChatGPT integrates GPT-5.5 for personalized financial guidance

    OpenAI has launched a new personal finance experience in ChatGPT, leveraging GPT-5.5's advanced reasoning to provide personalized financial guidance.

    ChatGPT Pro users can now securely connect financial accounts via Plaid (with Intuit support coming soon) to view dashboards and ask context-aware questions grounded in their financial data.

    The integration utilizes recent advances in GPT-5.5, which demonstrates superior performance on complex, context-dependent personal finance tasks compared to earlier models, with GPT-5.5 Pro achieving the best overall performance.

    The system accesses balances, transactions, investments, and liabilities but cannot see full account numbers or make changes, with user data controls emphasized for privacy and security.

    This marks a significant step in applying frontier reasoning models to high-stakes, real-world consumer applications, demonstrating their growing capability in complex, personalized decision support.

  5. 20 May 2026impact 85

    AI autonomously solves planar unit distance problem

    An OpenAI general-purpose reasoning model autonomously disproved a long-standing conjecture in discrete geometry, the planar unit distance problem.

    The model constructed configurations of points achieving at least unit-distance pairs, providing a polynomial improvement over previous constructions that had been essentially unchanged since 1946.

    The proof brought unexpected and sophisticated ideas from algebraic number theory to bear on an elementary geometric question, demonstrating AI's potential for mathematical discovery.

    This result highlights that AI is poised to take a very serious role in the creative parts of research, contributing not only solutions but also novel mathematical insights.

    This achievement underscores the rapidly advancing capabilities of AI in complex problem-solving and creative scientific discovery, particularly in abstract fields like mathematics, pushing the frontier of reasoning models.

  6. 29 May 2026impact 65

    OpenAI launches Rosalind Biodefense with GPT-Rosalind

    OpenAI launched Rosalind Biodefense and expanded trusted access to GPT-Rosalind, a frontier reasoning model for life sciences, to develop biodefense and pandemic preparedness applications.

    Rosalind Biodefense is an initiative to help trusted developers build new biodefense and pandemic preparedness capabilities.

    Trusted access to GPT-Rosalind is being expanded for select U.S. government and allied partners supporting public health and biodefense missions.

    The approach emphasizes layered resilience, including preparedness evaluations, bio-specific assessments, safer dual-use model behavior, monitoring, red teaming, and security controls.

    Partners include Fourth Eon Biosecurity for DNA synthesis screening, Lawrence Livermore National Laboratory (LLNL) for biopreparedness, Johns Hopkins Applied Physics Laboratory (APL) for protein-engineering, and CEPI for vaccine development.

    The article also mentions that in July 2025, ChatGPT agent was released as the first High Capability model in biology under their Preparedness Framework with robust safeguards (note: the date 'July 2025' appears to be a typo in the source article, referring to a past event).

    This marks a significant step in applying frontier AI models to critical national security and public health challenges, demonstrating a commitment to responsible deployment in high-stakes domains.

Lineage

Descended from

This is one node. The map holds the whole field.

Watch Reasoning Models — and everything it connects to — grow as real news threads onto the map every day.