Star Meat Delivery Inc. is recalling approximately 167,639 pounds of raw pork, beef, and goat products produced without federal inspection and bearing false USDA inspection marks. The USDA classified this as a Class I recall, the highest health risk level, due to the products being unsafe and improperly labeled.
The USDA recalled more than 80 tons of raw pork, beef, and goat meat sold nationwide by A&D Foods after discovering fake USDA inspection labels and lack of proper inspection. The meat, produced by Star Meat Delivery Inc., could be contaminated or contain undisclosed ingredients or allergens, and consumers are advised to discard or return it.
Walmart's Bettergoods brand frozen pasta is being recalled by supplier Gias Foods due to potential Listeria monocytogenes contamination. Two lots of Authentic Italian Lemon Alfredo Fettuccine with specific UPC and lot numbers (L6079C and L6080C) are affected; no illnesses have been reported. Consumers should check their freezers and return affected packages for refunds.
J. Higgs 7.75-ounce loaded bacon and cheddar potato chips were recalled on September 18 due to undeclared soy allergens. The affected products, distributed to Save A Lot grocery stores across Kentucky and other states, have specific bar codes and best-by dates of December 11 and 18.
A user reports that despite disabling Siri through multiple settings and services on macOS 27, the Siri AI process continues running in Activity Monitor. They question whether it is possible to fully disable Siri and Apple Intelligence features, comparing them to Microsoft's Recall.
Intercon Chemical Co. recalled six hand soap brands distributed across 15 U.S. states due to potential contamination with unspecified bacteria or antibiotic-resistant Pseudomonas and Serratia species. The affected products, sold under Laura Lynn, Summit, Vestis, and Intercon brands, may cause serious infections including blood infections, pneumonia, and urinary tract infections if used.
This paper introduces Effective State-Size (ESS), a metric measuring how well sequence models utilize their memory by analyzing the rank of input-dependent transformation matrices. ESS reveals that models with high memory utilization are harder to distill, and that effective ESS modulation correlates with better performance on recall-intensive tasks.