The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: https://t.co/bwn0sximKZ
BREAKING: Pierre Gasly has been reinstated into P3 for the Monaco Grand Prix
The Stewards have rescinded the two five-second penalties imposed on Pierre Gasly during the race for speeding in the pit lane
#F1
@davidfowl AI lets you ship more, and the friction that has always been there becomes intolerable when you double, triple, or more a development team's output.
You have to address the friction. If you don't, then you either cap your team's productivity - or ship slop.
Postgres has a problem: connections.
PgBouncer is the solution, but it's not so simple.
We've got the guide for how to optimize your connections for any database size.
1. go to chrome dev tools
2. in memory tab, take a snapshot & download
3. drop it into @cursor_ai@cursor_ai will write python scripts to analyze the snapshot and point out what's making your website feel sluggish
Semantic search significantly improves coding agent performance.
For very large codebases, Cursor's indexing process is now several orders of magnitude faster.
https://t.co/Q1cKl71ytU
Postgres is now a search engine!!!
With pg_textsearch that was just open sourced.
Postgres finally has real keyword search.
No Elasticsearch.
No data sync pipelines.
Just SQL.
For years, Postgres search had a problem.
It worked, but the ranking quality was brittle.
If a document repeated a word 50 times,
It often ranked higher than the actually relevant one.
That is not how modern search should behave.
📌 pg_textsearch brings true BM25 ranking directly into Postgres.
This is the same ranking algorithm used by modern search engines like Google.
BM25 understands:
→ Which terms actually matter in your corpus
→ Term frequency saturation
→ Document length normalization
With pg_textsearch, your data stays in Postgres.
Your search index updates transactionally.
When you update a row, the index updates in the same transaction.
Search is no longer just for humans.
We are in the RAG era.
AI systems need:
→ Semantic vector search
→ Precise keyword matching
pg_textsearch pairs naturally with:
→ pgvector
→ pgvectorscale
📌 Getting started is boringly simple:
𝙲𝚁𝙴𝙰𝚃𝙴 𝙴𝚇𝚃𝙴𝙽𝚂𝙸𝙾𝙽 𝚙𝚐_𝚝𝚎𝚡𝚝𝚜𝚎𝚊𝚛𝚌𝚑;
Then sort by relevance using SQL.
No new infrastructure to learn.
pg_textsearch was open-sourced by @TigerDatabase, the team behind TimescaleDB.
Built by people who actually understand Postgres internals.
👉 Star the GitHub repo and try it yourself:
https://t.co/3jueFo6gKW
——
♻️ Repost to help others start using keyword search in Postgres
➕ Follow me ( @AntonMartyniuk ) to improve your .NET and Architecture Skills
Many thanks to @TigerDatabase for sponsoring this post!
Here's a challenge for your next bug report. 🐛
Instead of fixing it manually:
1. Create a GitHub Copilot Space.
2. Add the issue + 3 key files.
3. Ask Copilot to "analyze and propose a plan."
Find out exactly how much time you save when your AI knows your project context.
Get the full guide. ⬇️
https://t.co/v1cTlEPRP0
We just released 𝚛𝚎𝚊𝚌𝚝-𝚋𝚎𝚜𝚝-𝚙𝚛𝚊𝚌𝚝𝚒𝚌𝚎𝚜, a repo for coding agents.
React performance rules and evals to catch regressions, like accidental waterfalls and growing client bundles.
How we collected them and how to install the skill ↓
https://t.co/kfLSbKl15X