llm-guided autotuning speeds up pytorch kernel tuning
pytorch's helion dsl uses llms to propose kernel configurations, matching bayesian optimization performance while exploring 10x fewer configs and cutting tuning time by 6.7x.
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first in-orbit vision-language model demo on spacecraft
navi-orbital runs a vision-language model on a low earth orbit satellite to classify scenes, describe content, and answer operator questions in plain english.
shared workspace human-ai teams need coordination scaffolding
adding human collaborators to ai teams can hurt performance without structured coordination, but shared memory and approval gates help.
ceo-bench tests ai agents as startup founders
a new benchmark evaluates language model agents on long-horizon business management by simulating 500 days of running a startup.
think beyond lora for fine-tuning
benchmarks show other parameter-efficient fine-tuning methods can beat lora on accuracy and memory, so it pays to test alternatives.
securing ai agents with defense-in-depth
google deepmind outlines a control roadmap to manage internal ai agents by treating them as potential insider threats and using layered monitoring.
point observations barely help radar nowcasting
a graph neural network study finds adding sparse station data to radar forecasts gives minimal gains, while numerical weather prediction and satellite inputs matter more.
shock-wave theory linked to symmetry-reduced sgd dynamics
a new mathematical framework connects shock-wave theory to the learning dynamics of stochastic gradient descent after removing parameter symmetries.
roelof botha joins spacex board after record ipo
former sequoia capital managing partner roelof botha has been appointed to spacex's board of directors, bringing public company and audit committee experience.
training task generators without the solver bottleneck
a new method trains task generators using a lightweight probe instead of costly solver rollouts, making it practical to create frontier tasks for reinforcement learning.
trajectory-level supervision in offline rl
a statistical theory for offline policy optimization using only trajectory-level outcome labels instead of per-step rewards.
risk control for ai agents under retrieval and tool drift
a new method controls risk in ai agents that retrieve documents and use tools, even when their behavior changes over time.
gaussian mixture attention cuts transformer cost
a new attention method uses probabilistic routing through learned gaussian components to achieve linear-time sequence mixing, avoiding the quadratic cost of standard attention.
vlm framework reduces hallucinations with citation-grounded reasoning
a new vision-language model pipeline uses closed-loop retrieval and verification to enforce evidence-based outputs and measure step-level faithfulness.
glm-5.2 open weights llm tops benchmarks
z.ai's glm-5.2, a 753b parameter mixture-of-experts model with 1m token context, leads open weights benchmarks and ranks second in code arena webdev.
snap stock drops after pricey ar glasses launch
snap's stock fell over 5% after unveiling its $2,200 ar glasses, raising concerns about affordability for its teen user base.
pytorch foundation contributor awards open for 2026
nominations are open until july 17, 2026 for awards recognizing contributors to pytorch, vllm, deepspeed, ray, helion, and safetensors.
anthropic joins frontier carbon removal group
anthropic becomes the first ai startup to join frontier, a carbon removal coalition, contributing to a new $915 million funding round.