wirestock raises $23m for ai creative data supply
wirestock pivoted from stock photography to supplying multi-modal datasets for ai labs, raising $23m to expand its contributor network and enterprise tools.
topic
ai
cisco cuts 4,000 jobs to fund ai and security
cisco lays off 5% of its workforce despite record revenue, redirecting funds to ai and cybersecurity.
asynchronous batching speeds up llm inference
separating cpu and gpu work with cuda streams and events reduces idle time, boosting throughput by up to 24%.
5 small language models for agentic tool calling
five compact open-weight language models that support structured tool calling for agentic ai workflows.
clio hits $500m arr as ai legal tech surges
clio reaches $500 million annual recurring revenue, driven by ai integration, while anthropic launches competing legal features.
ai models fail on high-stakes topics, says former meta news chief
campbell brown's forum ai evaluates foundation models on complex subjects like geopolitics and mental health, finding bias and inaccuracies.
ocean concept bottleneck model explains heat predictions
a new model uses physics-based concepts to make ocean heat forecasts interpretable, revealing the drivers behind predictions.
learning when to act for safe, communication-efficient rl
a new method learns both control and when to communicate, using a safety shield to reduce sampling while maintaining stability.
quantum algorithm cracks impossible materials problem in seconds
a quantum-inspired algorithm simulates complex quasicrystals with over 268 million sites, enabling faster design of advanced quantum materials.
how weak-to-strong generalization works in neural networks
a new theory shows that fine-tuning a strong model on a weak model's outputs can elicit pre-trained knowledge without losing general skills.
online conformal prediction with nested sets
new methods produce nested prediction sets across multiple coverage levels for simultaneous uncertainty quantification in online settings.
learning transferable user preferences from limited interactions
a new framework learns latent user preferences from few conversations and applies them across tasks to improve human-aligned decision making.
verifier-guided action selection for embodied agents
a test-time framework uses a generative verifier to pick the best action from multiple candidates, improving robustness of multimodal language model agents without retraining.
xai runs 46 gas turbines unregulated in mississippi
elon musk's xai operates nearly 50 natural gas turbines at its mississippi data center without state air pollution oversight due to a mobile source loophole.
notion becomes a hub for ai agents
notion launches a developer platform to connect custom ai agents, external agents, and automated workflows across databases.
anthropic product head says ai will soon anticipate user needs
cat wu, anthropic's head of product for claude code, discusses a future where ai proactively sets up automations based on understanding user work patterns.
quide: a single score for quantized model efficiency
a new metric called quide collapses compression, accuracy, and latency into one score to find optimal quantization levels for neural networks.
techcrunch disrupt 2026 stages for a tougher startup market
techcrunch disrupt 2026 introduces six stages focused on operational pressures reshaping startup innovation, from ai competition to infrastructure and venture dynamics.