reward transport: steering molecular generation via noise alignment
a new method uses optimal transport coupling during flow matching training to align noise with molecular rewards, enabling controllable generation without extra models or gradients.
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ai alignment debate: freedom vs. collective safety
george hotz argues for user-aligned ai that would assist with any request, even planning crimes, sparking debate on ai ethics and societal impact.
space data centers are far from reality, experts say
sam altman and elon musk's social media spat highlights expert consensus that orbital data centers won't be viable until rockets and satellites become much cheaper and mass-producible.
knowledge distillation works by sparsifying interactions in llms
a unified framework reveals that various knowledge distillation methods for large language models share a common mechanism: they force student models to use fewer interactions while zeroing out the rest.
daily brief: 2026-07-13
apple sues openai over trade secrets, brain decisions start earlier than thought, and anthropic localizes claude pricing for india.
apple sues openai over trade secret theft
apple's lawsuit alleges openai orchestrated a campaign to steal trade secrets from former apple employees, including taking physical parts and evading security.
brain decisions start earlier than thought
a new study finds decision-making activity in early sensory brain regions, challenging traditional models and offering insights for more efficient ai.
anthropic localizes claude pricing for india
anthropic introduces rupee pricing for claude in india, its second-largest market, but lacks upi payment support unlike openai.
outlines brings deterministic structure to llm outputs
outlines is an open-source library that enforces structured output from large language models by masking invalid tokens during generation.
five sql projects for a data portfolio
practical sql projects covering churn, warehousing, sales, banking, and healthcare to show real business problem-solving.
benchmark tests ai agents on long terminal tasks with partial credit
a new benchmark evaluates ai agents on 46 long-horizon terminal tasks using dense intermediate rewards to measure progress, not just final outcomes.
interval certifications for neural networks via lattice traversal
a new framework reduces adversarial robustness certification to a lattice traversal problem, enabling both sound and complete interval certifications for multilayer perceptrons.
lean formalization of vlasov equation as a strategy game
a mathematician directed an ai to formalize a mean-field derivation of the vlasov equation in lean 4, treating the process as a game with clear win conditions.
deep gaussian processes on directed acyclic graphs
a new framework extends deep gaussian processes to directed acyclic graphs, enabling better modeling of complex, partially observed processes with theoretical guarantees on information preservation.
generative patient twin guides sepsis treatment at inference time
a new framework uses a generative ehr model as a patient digital twin to optimize sepsis treatment through model predictive control, adapting to changing goals without retraining.
signed symmetric quantization for few-bit integers
signed symmetric quantization uses the extra negative value in signed integers to reduce clipping error without runtime overhead.
graph-augmented tree search cuts llm costs in agent planning
gats uses a layered world model and ucb1 tree search to eliminate llm calls during inference, achieving 100% success on synthetic tasks.
shot-scraper 1.11 released with server startup fixes
shot-scraper 1.11 improves server startup handling and adds new options for loading javascript from files.