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Meta plans to invest $14.3 billion in Scale AI to boost its AI capabilities.

Alexandr Wang, CEO of Scale AI, will join Meta in a top leadership role.

This investment marks Meta's largest minority investment, following its WhatsApp acquisition.

OxCaml is a set of extensions to improve OCaml’s performance capabilities.

Goals include providing safe, convenient, and predictable control over performance.

Extensions focus on concurrency, memory layout, allocation control, and general quality of life improvements.

Self-Adapting Language Models (SEAL) is a framework for enabling self-adaptation in large language models (LLMs).

SEAL allows LLMs to generate their own finetuning data and directives for adaptation.

The model's self-directed adaptation process involves producing self-edits that restructure information and optimize hyperparameters.

Q-learning, a form of off-policy reinforcement learning (RL), is currently not scalable for long-horizon problems that require many decision steps.

Most real-world successes in RL have been achieved with on-policy algorithms which require new data samples and can't efficiently reuse old data.

Off-policy RL, such as Q-learning, could potentially be more sample efficient as it can use any set of data.

Logic programming is a less known programming paradigm compared to procedural, object-oriented, and functional programming.

Logic programming uses relations or predicates instead of functions.

Prolog is a key language for logic programming, where facts and rules are defined and queried.

Carnivorous plants have evolved multiple times throughout history to trap and digest small insects due to nutrient-poor environments.

The oldest fossils of carnivorous plants date back over 34 million years.

Different mechanisms exist in carnivorous plants for trapping prey, including sticky leaves like the Cape sundew, snap traps like the Venus flytrap, and pitcher plants.

Mixed-integer linear programming (MILP) is highly significant in operations research, now capable of solving complex problems quickly due to modern solvers.

The versatility of MILP solvers has led to widespread applications in transportation, logistics, supply chain, finance, and other sectors.

This article reviews major advancements in MILP solution methods, focusing on computational improvements and experiments.

Apple introduced Liquid Glass, marking a strategic shift towards future human-computer interaction, minimizing the screen's relevance.

Liquid Glass is inspired by Apple's visionOS, aiming to prepare users for augmented reality where interfaces blend with the physical world.

Apple uses its vertical integration advantage to make Liquid Glass perform optimally on its hardware, enhancing value and user experience.

The article discusses the use of SIMD instructions to improve substring searching algorithms by comparing short character sequences quickly.

The Karp-Rabin algorithm is modified to use SIMD to perform parallel vector comparisons, speeding up computations.

It explains two specific algorithms using SIMD: one generic for all SIMD sets and another specific to SSE4.1 and AVX2 using the MPSADBW instruction.

Google Cloud experienced a major service disruption affecting multiple products and regions on June 12, 2025.

The incident was due to an introduced feature in Service Control which led to widespread API request errors.

The root cause involved a null pointer in the Service Control binary due to a policy change causing crashes globally.