
Data Phoenix Pulse: Tech Talks, Demo Stage, and Robutler Partnership
Dmytro Spodarets·Oct 8, 2026
1:01:41
Dmytro Spodarets·Sep 18, 2026
Watch the highlight and five company presentations from the September 29 AI x Bio Pitch Contest in San Francisco, then meet the winning teams.
Dmytro Spodarets·Oct 5, 2026
Reduce GPU memory use and training costs with 10 practical techniques, from LoRA and sequence packing to sharding and data selection.
Dmytro Spodarets·Sep 14, 2026
These 10 MLOps trends are worth watching in 2026 for their potential to improve agent reliability, evaluation, context management, inference efficiency, and deployment.
Dmytro Spodarets·Jan 5, 2026Three lists, one email. Pick what fits — unsubscribe with one click.

Dmytro Spodarets·Oct 8, 2026
Dmytro Spodarets·Apr 14, 2026




Snowflake's sales-finance team put certified data sources, finance definitions, recurring analyses and standard output formats into a CoCo profile, then built 36 reusable skills on that foundation.

Databricks says a 528-build test found Spark Declarative Pipelines used less compute and code than procedural PySpark, but required more model tokens and did not eliminate silent errors.

Moonshot AI made Kimi K3.1 Pro and a faster Highspeed variant available through its products and API, and says it will release the full model weights by November 4, 2026.

Amazon CEO Andy Jassy said AWS capacity is sold out for 2026 and largely sold out for 2027, with a substantial portion of 2028 already committed.

OpenAI says frontier-model reinforcement-learning training and internal inference resumed October 1 under new network restrictions following a September DNS containment failure.

The independent nonprofit will start with earlier detection of biological threats and faster medical countermeasures, backed by £100 million from the UK government and up to £200 million in company support.

IBM and Scuderia Ferrari HP have added an automated race timeline and expanded watsonx-generated session summaries to Ferrari’s mobile app.

A study of five models across three coding-agent harnesses found costs varied by up to threefold, while most measured accuracy differences stayed within rerun noise.