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Article URL: https://tournament.swarmwage.com

Comments URL: https://news.ycombinator.com/item?id=48312484

Points: 2

# Comments: 1

Article URL: https://www.americanbanker.com/payments/news/robinhood-launches-agentic-trading-and-an-agentic-credit-card

Comments URL: https://news.ycombinator.com/item?id=48312450

Points: 1

# Comments: 0

Article URL: https://sdomi.pl/weblog/29-please-do-better-thanks/

Comments URL: https://news.ycombinator.com/item?id=48312447

Points: 1

# Comments: 0

Article URL: https://vinewallapp.com/notes/i-made-my-phone-slow-on-purpose/

Comments URL: https://news.ycombinator.com/item?id=48312443

Points: 2

# Comments: 0

Article URL: https://www.piie.com/publications/policy-briefs/2026/where-ai-gdp-statistics

Comments URL: https://news.ycombinator.com/item?id=48312439

Points: 3

# Comments: 0

Hi HN, I built py-sql-cleaner, a CLI for formatting SQL embedded in Python files.

Python formatters handle Python syntax. They do not format SQL written inside Python code. On the other hand, SQL formatters usually target SQL files or raw SQL text, not SQL embedded inside a Python file.

Still, I think it is not uncommon to find long SQL queries inside Python codebases.

py-sql-cleaner detects embedded SQL inside Python files and works only on that SQL. The main things it can do are: find the SQL, format it in place, or extract it into a .sql file.

It avoids rewriting SQL that depends on runtime values or template expansion. For example, SQL containing parameters like %s or :name, or Jinja-style template variables like {{ ds }}, is skipped by default.

Try it with:

uvx py-sql-cleaner list path/to/file.py uvx py-sql-cleaner format path/to/file.py --dry-run If you write Python, have run into this kind of SQL cleanup problem, or are just curious, I’d be happy if you take a look.

Comments URL: https://news.ycombinator.com/item?id=48312436

Points: 1

# Comments: 0

Article URL: https://cognitivewonderland.substack.com/p/attention-spans-arent-shrinking

Comments URL: https://news.ycombinator.com/item?id=48312427

Points: 1

# Comments: 0

Article URL: https://aermia.com/u/NancySadkov/p/on-the-architectural-transvestism-of-the-cupertino-fruit-company

Comments URL: https://news.ycombinator.com/item?id=48312417

Points: 1

# Comments: 0

Article URL: https://www.aljazeera.com/video/talk-to-al-jazeera/2026/5/24/fatou-bensouda-on-israeli-threats-against-her-and-the-icc

Comments URL: https://news.ycombinator.com/item?id=48312415

Points: 1

# Comments: 0

Article URL: https://www.dein.fr/posts/2026-05-28-interviewing-in-the-age-of-ai

Comments URL: https://news.ycombinator.com/item?id=48312395

Points: 2

# Comments: 0

Article URL: https://theconversation.com/psychopathy-some-experts-now-say-it-doesnt-exist-heres-why-we-may-be-looking-at-it-all-wrong-279791

Comments URL: https://news.ycombinator.com/item?id=48312391

Points: 1

# Comments: 0

Article URL: https://chromewebstore.google.com/detail/walkr/pnhgbbbhapdjhcjffkfbogfpeknehlkp

Comments URL: https://news.ycombinator.com/item?id=48312384

Points: 1

# Comments: 0

I'm seeing an enormous contingency of my LinkedIn connections change their titles to "AI Engineer." I know for a fact that they're not working on any models or even AI workflows, they're just building apps and backends using AI tools like Claude.

Is that what "AI Engineer" means nowadays? Is that what companies are looking for when they open recs for "AI Engineer"? Should I be marketing myself as an "AI Engineer" just because I'm very efficient using modern AI tooling to build good non-AI software?

Comments URL: https://news.ycombinator.com/item?id=48312377

Points: 2

# Comments: 1

The funding round was led by Balderton Capital, with additional support from Crosspoint Capital and previous investors General Catalyst and Ten Eleven Ventures.

The post Geordie Raises $30 Million for AI Security and Governance Platform appeared first on SecurityWeek.

Commentary: Size really is everything when it comes to wearables, something Oura has shown it understands with its reengineered Ring 5.

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The US military has long known that cheap fixes could stop location data from exposing its troops. It adopted almost none—and now says adversaries are using the data to target soldiers during a war.

GCHQ director Anne Keast-Butler confirms plans to build a national cyber defence capability using AI agents to defend critical infrastructure at ‘machine speed’