Google’s internal struggle is handing the AI coding race to Anthropic and OpenAI

At Google, leaders are anxious about falling behind in the race to offer AI coding tools, especially as rivals like Anthropic ...

Google’s Internal Politics Leave It Playing Catch-Up on AI Coding

At Google, leaders are anxious about falling behind in the race to offer AI coding tools, especially as rivals like Anthropic ...
The Next Web

Lovable left thousands of projects exposed for 48 days, and the vibe coding security crisis is only getting worse

Lovable's API exposed source code and database credentials for 48 days after the company closed a bug report. Up to 62% of AI ...
BMJ Open

Course of psychological symptoms and the initial management strategies in general practice using electronic health records in the Netherlands

Background Patients who consult their GP about psychological complaints, such as feeling anxious or depressed, are often ...
Fireship on MSN

These data structures solve problems most code still struggles with

Modern software increasingly depends on data structures that go far beyond basic arrays and trees. Some of the most powerful ...

Why Structured Data May Be AI’s Next Enterprise Frontier

Enterprise technology vendors are racing to make AI work against the structured and relational data inside databases, data ...
IEEE

Adaptive Source–Channel Coding for Multi-User Semantic and Data Communications

Abstract: This paper considers a multi-user semantic and data communication (MU-SemDaCom) system, where a base station (BS) simultaneously serves users with different semantic and data tasks through a ...
Business Insider

Why Swedish vibe-coding startup Lovable rejects candidates who want rigid structure — and hires for 'founder DNA'

Lovable is planning to grow to about 400 staff this year, its people chief said, up from 146. The startup hires for "founder DNA," favoring ownership over structure, Maryanne Caughey said. Lovable ...
Microsoft

Scaling Data Difficulty: Improving Coding Models via Reinforcement Learning on Fresh and Challenging Problems

Training next-generation code generation models requires high-quality datasets, yet existing datasets face difficulty imbalance, format inconsistency, and data quality problems. We address these ...
centerforhealthjournalism

How a data mystery on overdose deaths pushed me to learn coding and level up my skills

In September of 2024, I was looking for story ideas for The Guardian’s news desk when I noticed something unusual in the CDC’s latest overdose fatality data—antidepressants had been co-involved in as ...