VCs are backing agents that prove an outcome, not agents that promise a platform
Databricks agent scale, Cowboy anti-fraud thesis, an $8.4M surgical seed and an Anthropic antibody pilot show investors backing agents that change a measurable outcome.
25 stories, 98 Manifests cited.
Databricks agent scale, Cowboy anti-fraud thesis, an $8.4M surgical seed and an Anthropic antibody pilot show investors backing agents that change a measurable outcome.
AMD Helios, Acceleron networking, Positron inference and a run of partner deals give OCI a single story: stay on one cloud for training, inference and agents.
Snowflake governed MCP access, Databricks federation, Zep temporal context and Writer controls all point the same way: agents need rules about data, not just a connection to it.
An Anthropic study found analysts deferred to agent preferences 86% of the time, Goldman Sachs called for shared accountability, and public-sector and finance examples show what checkpoints look like.
Broadcom disclosed a large backstop for AI rack leases, CoreWeave and AMD kept expanding, and podcast guests warned the debt behind the buildout could reverse within two years.
Google is rolling a world model for real-time simulation to testers while researchers fix camera control, continuity and character consistency.
Liquid AI shipped a 2B multimodal family for on-device work while researchers show translated benchmarks mislead local evaluation.
Google sleep framework consolidates memory offline while a new benchmark finds top systems finishing only 23.3 percent of task ladders.
Cognition says Claude Opus 5.5 leads FrontierCode 2.0 at 45 percent, and Arize shows why agent mods need their own evaluation.
AMD Helios is installed and being tested at Meta while Oracle builds an open rack-scale platform on the same hardware.
Anthropic found analysts adopting agent arguments as their own, while preprints offer attribution training, claim records and harness checks.
NVIDIA CUDA sharing, MoE inference tuning, AMD speculative decoding and fal H100 pricing all point to the same shift: utilisation is now a product feature, not an afterthought.
Writer adds tunable watermarks and Playbook approvals while firms tier model risk and track agent security debt.
A fly model shows repair needs the right cells, a monkey platform records across regions, and human studies track aging, stimulation and anesthesia in circuit terms.
More than 50,000 employers use pooled plans, Treasury auto-enrolled children into new accounts, and more than 100,000 advisors are set to retire.
Morgan Stanley expects a divided government, Janus Henderson notes split control has been the norm for nearly 65 percent of 50 years, and both point back to fundamentals.
Critical mineral demand rose close to 10 percent a year, China processed 70 percent of supply in 2025, and copper supply could fall 25 percent short by 2035.
New Zealand and Canada lean toward hikes, Australia sits on a knife edge, and the Fed is framed as recalibrating rather than restarting a cycle.
JPMorgan sees a negative initial market reaction priced in, while the central bank reports household problem assets at their highest since 2012.
UBS, Wellington and Bank of America describe a positioning unwind, not a broken theme, with power, resources and non-US markets carrying more of the next leg.
Gary Gensler and Robert Kaplan warn of an AI capex reversal within 18 to 30 months, while Morgan Stanley voices describe a correction nearly done and a measured path to hikes.
Preprints link NK-cell states, a bladder-cancer marker and breast-cancer signatures to outcomes, while matrix softening and radiation injury change immune response in mice.
A 10-1 Game 3 win put Milwaukee up 3-0 on Tampa Bay. Game 4 is Tuesday at 8 p.m. ET, and no team has ever come back from 3-0 in the World Series.
Maui wildfire metals lingered up to 18 months, a brain atlas mapped gene activity across eight diseases, and a speech clock estimated biological age.
Preprints on Middle East water, Himalayan glaciers, drought triggers and Quebec minerals share a warning: validation on past data overstates how models perform next.