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19 results for “Trajectory”
Trajectory, Founded by Ex-Google and Apple Researchers, Raises Funding From Sequoia in Back-to-Back Round - The Information
Trajectory, a startup founded by former Google and Apple researchers, secured new funding from Sequoia Capital in a consecutive round, signaling continued investor confidence in its AI development trajectory.
Aug 11, 2026
Woodpecker Distillation: Weak Models Diagnose Reasoning Bugs in Strong Models
Researchers propose 'Woodpecker Distillation', a weak-to-strong training method that uses localized interventions from small models to diagnose and correct step-level reasoning bugs in large language models, improving performance on mathematical reasoning benchmarks.
Aug 7, 2026
GLOBE: Trajectory-Aligned Gradient Matching with Structured SparseOptimization for Coreset Selection
GLOBE is a new coreset selection method that uses gradient trajectories across training checkpoints and multi-order matching to improve on-device training efficiency by selecting compact, representative subsets of training data.
Aug 5, 2026
Learning Stateful Predictive Knowledge From Experience
A new research paper proposes Stateful Knowledge Learning (SKL) as a method for LLM agents to extract predictive, state-anchored knowledge from experience—moving beyond brittle trajectory-level reflection—and shows performance gains across WebShop, ScienceWorld, and ChessPuzzles.
Aug 3, 2026
ThinkReset: Learnable Intermediate Interface Construction for Bounded-Context Long-Horizon Reasoning
A new AI reasoning method called ThinkReset introduces an intermediate interface mechanism to improve long-horizon problem solving under fixed context windows by replacing discarded history and optimizing for post-reset continuation — addressing redundancy, overflow, and premature guessing.
Aug 3, 2026
Benchmarking the Residual: What Long-Horizon Evaluations Add Beyond Matched Short-Task Performance
A position paper introduces 'horizon residual' as a new metric to isolate true long-horizon failure from compounding short-horizon errors in AI agent evaluation, arguing that current benchmarks conflate the two.
Jul 31, 2026
HYSA vs SGOV and/or SPAXX
A Reddit user in their early 30s with $45,000 in savings seeks comparative guidance on allocating funds between high-yield savings accounts (HYSA), the short-term Treasury ETF SGOV, and the money market fund SPAXX for near-term goals (emergency fund and potential home down payment in 3–5 years).
Jul 31, 2026
Dual Attention Residuals
A new neural architecture called Dual Attention Residuals (DAR) introduces reciprocal cross-stream addressing to improve Transformer residual pathways by enabling multi-stream interaction in historical retrieval, yielding consistent validation loss improvements across dense and sparse models.
Jul 22, 2026
TRACE: Trajectory-Based Safety Patch Learning for LLM Post-Training Realignment
Researchers introduced TRACE, a new safety patching method for fine-tuned LLMs that claims to recover alignment without degrading task utility by learning from simulated harmful tuning trajectories.
Jul 21, 2026
Robust Peak-cost Constrained Reinforcement Learning
Researchers introduced Robust Peak-cost Constrained Reinforcement Learning (RP-CRL), a new RL framework designed to bound the maximum cost incurred along any single trajectory—addressing safety-critical failure modes that standard cumulative-cost methods overlook.
Jul 20, 2026
Wanted to know if anyone works as a Payment Analyst at Stripe
A Reddit user posted an open-ended question seeking firsthand insights about the Payment Analyst role at Stripe, with no factual claims or reporting about Stripe's operations, AI use, or technology.
Jul 14, 2026
Anyone working as a Payment Analyst at Stripe?
A Reddit user posted an anonymous, unverified question seeking firsthand experience from Stripe Payment Analysts about job responsibilities, tools, work-life balance, and career growth.
Jul 14, 2026
A Week Late: Reports Indicate that Updated Language of the CLARITY Act Arrives Next Week
The CLARITY Act, a proposed US crypto regulatory bill, remains stalled in legislative negotiations with no finalized text released, though reports suggest revised language may be published next week.
Jul 11, 2026
Why the stock market and economy may seem out of sync
The stock market has surged amid AI-driven investor enthusiasm, even as broader U.S. economic indicators show modest or uneven growth — highlighting a divergence between financial markets and real-economy performance.
Jul 10, 2026
One interface isn't enough for enterprise AI
Enterprise AI adoption is diverging into two complementary patterns — embedded, invisible automation for operational efficiency and visible, conversational interfaces for exploratory analysis — reflecting organizational complexity rather than converging on a single interface.
Jul 10, 2026
Cross-Trajectory Chimera Interventions Reveal Dissociable Roles of Weight Magnitude and Direction in Grokking
Researchers introduce 'cross-trajectory chimera interventions' to isolate and test the causal portability of weight direction versus magnitude across independently trained neural networks on grokking tasks, finding direction encodes transferable circuit identity while norm governs susceptibility to overwrite.
Jul 10, 2026
SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation
SearchEyes is a new open-source multimodal search agent framework that unifies training data, environment simulation, and reward design using a typed knowledge graph and hop-anchored reinforcement learning to improve multi-hop reasoning performance.
Jul 9, 2026
SNAP-FM: Sparse Nonlinear Accelerated Projection for Physics-Constrained Generative Modeling
Researchers propose a new method to accelerate physics-constrained generative modeling.
Published Jul 2, 2026 · Analyzed Jul 5, 2026
SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing
Researchers propose a new method for reinforcement learning in diffusion large language models.
Published Jul 2, 2026 · Analyzed Jul 5, 2026