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News
Cloud has a new bulk capacity market
3+ day, 13+ hour ago (549+ words) Dave has authored 13 books on computing, the latest of which is An Insider’s Guide to Cloud Computing...
Serverless AI: A survivalist’s guide
6+ day, 6+ hour ago (479+ words) Dave has authored 13 books on computing, the latest of which is An Insider’s Guide to Cloud Computing...
How to keep your mission-critical cloud workloads running
1+ week, 6+ day ago (1073+ words) speaker at technical conferences, including SQL Saturdays, Pass Summit, and MSSQL Tips, and is the author...
4 standards solve agent identity. None solves the harder question: Is it still the agent you approved?
2+ week, 4+ hour ago (1291+ words) The authors put that in their introduction as a reason ANS is needed. I think it survives ANS....through zero-knowledge proofs or trusted execution environments sits in Future Work, closing what the authors...
Accelerating AI innovation through open weights
3+ week, 5+ day ago (385+ words) may laud Meta for its open-weight contributions today, the reality is we don’t need it to keep contributing...
Canonical and UK’s University of Bristol partner to investigate automated C to Rust translations
3+ week, 3+ day ago (405+ words) Rust is slated to play a huge part in Ubuntu’s future. As a language that allows programmers more control over resource use and performance as well as removing many classes of memory safety issues, it’s an especially good choice for…...
Google brings predictive AI to BigQuery without the ML training
1+ week, 5+ day ago (671+ words) Google is adding a pre-trained foundation model for tabular data to BigQuery, allowing enterprise teams to generate predictions from structured data without having to train and deploy a machine learning model from scratch. The TabFM model, which has been developed…...
Why enterprises should start with on-site AI agents
4+ day, 5+ hour ago (1063+ words) That conversation matters. But it leaves out a more consequential architectural question, one that determines who is accountable when an agent gets something wrong: where does the agent live? I think that is the wrong place for most enterprises to…...