sesame launches ios app for conversational ai agents
sesame, founded by oculus creators, releases an ios app with ai agents that talk naturally, pause to think, and adapt mid-sentence.
topic
ai
dynaschedbench calibrates dynamic scheduling benchmarks for llm agents
a new framework controls instance difficulty to test llm-based scheduling agents, revealing an observability paradox where more information can hurt performance.
rsi is the new agi — and just as hard to pin down
recursive self-improvement has become the latest buzzword in ai, with startups and researchers chasing systems that can upgrade themselves without human help.
leaked renders show apple's new siri app and ai plans
bloomberg reveals apple's upcoming siri app and ai integration in ios 27, aiming to rival chatgpt with google gemini-powered search and a standalone chatbot app.
google io 2026: 12 big ai reveals
google io 2026 unveiled gemini omni for video generation, search agents, and new ai tools across products.
general compute bets on sambanova chips for faster ai inference
general compute raises $15m to deploy sambanova's new inference chips, aiming to speed up ai agents and reduce costs.
visa invests in replit for agentic payments
visa invests in replit to explore integrating payment tools so developers and ai agents can accept payments directly on the coding platform.
synthetic information origins via steganographic inheritance
a new paper proposes steganography as a mechanism for tracing the lineage of synthetic information, addressing the challenge of ai-generated content that diverges from its sources.
vertu launches ai foldable for executives at $6,880
luxury phone maker vertu unveils alphafold, a foldable smartphone with an ai agent for enterprise workflows, targeting ceos and affluent buyers.
soro: a lightweight tajik language model and chatbot
soro is a family of tajik-specialized conversational language models built for low-resource deployment, outperforming same-size baselines on new tajik benchmarks.
triangular-reference bridges improve time series generation
a new method extends schrödinger bridge models for time series by using a frozen, triangular reference process across latent volatility levels, preserving the h-transform structure even with degenerate covariance.
calibrated uncertainty for treatment effects with small control groups
bayesian x-learner intervals under-cover in few-placebo settings due to nuisance model bias, but a gaussian process approach can fix calibration.
causal discovery with per-edge impossibility certificates
a new protocol for observational causal discovery attaches impossibility certificates to each edge, distinguishing data-driven orientations from those needing expert input.
llm architecture detects human values in text
a new llm-based system identifies and measures human values in text without being tied to a single value theory.
how mixture-of-experts tackles multimodal learning challenges
a survey examines how mixture-of-experts methods address key multimodal learning issues like scalability, representation, and fusion.
why llms fail at causal discovery
a new theorem shows that large language models cannot learn causal structure from observational data alone, but an agentic approach using interventions can succeed.
aircast-sr: km-scale atmospheric super-resolution model
a foundation model downscales global ai weather forecasts from 28 km to 1 km resolution, producing hourly 67-hour forecasts of eight surface variables.
snowflake signs $6b aws deal for ai cpu chips
snowflake commits $6 billion over five years to aws, driven by ai demand and access to amazon's graviton cpus.