Unverified50% confidenceBenchmarkExact time
Using the program's own gradients and the Adam optimizer, a Handwired twin network was trained on 2000 random orders; when only prices were changed, by step 100 it had exactly learned 549, 949, and 350 per kilogram, with zero error.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/16/2026
First Seen
Valid until: 1/14/2027
Sources
Related Entities
Related Claims
UnverifiedIn next-word prediction comparison experiments on the CNN/DailyMail dataset, ILRN and Transformer each had about 532K parameters, were each trained on 20 million next-word targets, and were trained independently under two context windows of 96 and 256.69% similarUnverifiedIn a synthetic logistic regression classifier experiment, after 80 steps of gradient-ascent-based repair, the unlearning loss rose from 0.0545 to 0.1649, yet the trigger attack success rate remained 100%.69% similarUnverifiedUnder exactly the same initialization, data and learning rate schedule, the research team trained the same model from scratch on a 32-chip NPU and on a GPU respectively, and the Pearson correlation coefficient between the two loss curves reached 0.99.67% similarUnverifiedIn zero-shot testing on an unseen grid of 6,470 buses (approximately 40% larger than any grid in training), the cost error increases by about 10%, but the model can still rank scenarios by cost with near-perfect accuracy.66% similarUnverifiedAdam 优化器由 Kingma 和 Ba 于 2014 年提出,同时维护梯度的一阶矩估计与二阶矩估计,并通过偏差修正项处理训练初期矩估计偏向零的问题65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1048089API
curl https://kongchang.com/api/v1/knowledge/claims/1048089MCP
get_claim(id=1048089)