#iterativevalidation نتائج البحث
This week's topic: "Iteration". Iterations allow us to test hypotheses, validate assumptions, and ensure we're on the right path. It's about informed decision-making. #TestAndLearn #IterativeValidation
"This experience drives home the importance of manual validation in the 'last mile' of unsolved tasks on benchmarks. These tasks are often unsolved because of bugs in grading... [M]anual grading was necessary for validating the last 20% of accuracy." #ethics #tech #AI #research
CORE-Bench is solved (using Opus 4.5 with Claude Code) TL;DR: Last week, we released results for Opus 4.5 on CORE-Bench, a benchmark that tests agents on scientific reproducibility tasks. Earlier this week, Nicholas Carlini reached out to share that an updated scaffold that uses…
There would still be plenty of room for improvement and implementation. On every iteration improves the success rate: refining prompts, validation loops, error-recovery etc. 🧵 (3/4)
6/ Validation Registry: The Agent’s trial report This answers the key question: “Did the agent actually perform the claimed task well?” > Task assignment: A user(interviewer) assigns a task > Output submission: The agent completes it → submits a validationRequest > Data…
This is a fantastic validation step. Using consistent screenshots + a long structured prompt is exactly how you stress-test stability. The fact that the model holds up across frames shows the update wasn’t just impactful—it’s reliably reproducible. Great work.
True validation comes from real behaviour, not opinions or assumptions. To tie everything together, I highlighted the continuous loop of Build → Test → Learn → Improve. The goal is not to rush into development but to learn quickly and adjust based on actual user behaviour.
Your new validation checklist: ☐ They currently spend money on it ☐ They've tried other solutions ☐ The problem costs them measurable dollars ☐ They can describe the last time it happened ☐ They're actively searching for something better
How to validate multi-sensor, time-dependent labels and why convergence is the smartest play. It’s tricky, but doing it right makes or breaks downstream learning. ⏱️ Temporal calibration is non-negotiable You need tight time synchronization across sensors. Any clock skew,…
Expect to Iterate Precision isn't magic; it's calibration. Your first prompt is a draft. Your second is a correction. Your third is the final product. Don't get frustrated if V1 isn't perfect. Look at the output, identify the drift, and refine.
Don't automate workflows before validating value. You waste weeks. Build repeatable validation first. Validate pain points manually until you know exactly what repeats. Automation without data has no point.
Validation is a continuous process. Driven by scientific curiosity, I will continue exploring alternative architectures and stress-testing methodologies to further challenge these results.
📊 Development/validation steps: 1.Literature review + expert & patient surveys → 170 candidate items 2.Delphi reduction → 30 items retained 3.Weighted scoring using 180 vignettes + Physician Global Assessment 4.Validation: reliability, face & construct validity
Debugging: Add breakpoints, hot reload, and iterate. here we modify the form macro to add validation
iteration is the only honest market validator. every "bad" idea that ships teaches more than a thousand perfect ideas that live in your head. version 1 is the beginning of the conversation with reality. most people confuse perfectionism with respect for the product. it's…
🛠️ DevLog – /validate Prompts & Next Validation Experiments (Experimental) We're wrapping this round of /validate work and shifting focus from prompt shapes to which models we use for validation. 🔹 Prompt Variants – First Batch - Adding 2 more validation prompt templates…
🛠️ DevLog – Swappable Validation Prompts for /validate (WIP) We've wired /validate to support multiple LLM-judge prompt templates, so we can iterate faster on evaluation behavior. 🔹 What's new - /validate now accepts a validation prompt type (e.g. prompt_v1, prompt_v2),…
this intent pivot unlocks truly modular validation, where nodes coordinate outcomes across realms without chain silos. pure efficiency.
The circular validation problem here is interesting. We're essentially saying that to build a good benchmark for judging, you need a strong judge as your reference point. But if you already have that strong judge, you've already solved part of the problem you're trying to…
🛠️ DevLog – Swappable Validation Prompts for /validate (WIP) We've wired /validate to support multiple LLM-judge prompt templates, so we can iterate faster on evaluation behavior. 🔹 What's new - /validate now accepts a validation prompt type (e.g. prompt_v1, prompt_v2),…
🛠️ DevLog – /validate Prompt & Model Experiments (WIP) Following the new off-chain input path for /validate, the next step is stress-testing how different evaluation prompts and models behave end-to-end. 🔹 What we're experimenting with now - Varying prompt templates for…
This week's topic: "Iteration". Iterations allow us to test hypotheses, validate assumptions, and ensure we're on the right path. It's about informed decision-making. #TestAndLearn #IterativeValidation
Something went wrong.
Something went wrong.
United States Trends
- 1. #AEWDynamite 19K posts
- 2. Giannis 76.8K posts
- 3. #Survivor49 2,504 posts
- 4. #TheChallenge41 1,885 posts
- 5. Ryan Leonard N/A
- 6. Claudio 28.5K posts
- 7. Jamal Murray 5,234 posts
- 8. Will Wade N/A
- 9. Kevin Overton N/A
- 10. Ryan Nembhard 3,145 posts
- 11. #SistasOnBET 1,904 posts
- 12. #iubb 1,189 posts
- 13. Achilles 5,238 posts
- 14. Steve Cropper 4,584 posts
- 15. Tyler Herro 1,675 posts
- 16. Bucks 51.2K posts
- 17. Dark Order 1,711 posts
- 18. Yeremi N/A
- 19. Jericho Sims N/A
- 20. Isaiah Stewart 1,173 posts