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gaurangt

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OpenAI to spend more than $20B on Cerebras chips, receive stake

reuters.com
5 points·by gaurangt·3 месяца назад·3 comments

Anthropic Quadruples London Office Amid US Regulatory Tensions

techbuzz.ai
3 points·by gaurangt·3 месяца назад·0 comments

Do you think Adobe can still win the AI race?

techcrunch.com
1 points·by gaurangt·3 месяца назад·0 comments

Race for the best cybersecurity model heating up

reuters.com
1 points·by gaurangt·3 месяца назад·0 comments

comments

gaurangt
·3 месяца назад·discuss
Based on this Reuters report, OpenAI is trying to control both the hardware stack and the models.

Spending $20B+ on Cerebras chips and taking an equity stake feels like a huge shift. Good for breaking Nvidia’s grip, or bad because AI gets even more concentrated in the hands of a few giants?

Is this how OpenAI can maintain its lead and win against Anthropic and others?
gaurangt
·3 месяца назад·discuss
How have the coding interviews changed recently? Some companies say that they don't allow AI during interviews, right?
gaurangt
·3 месяца назад·discuss
No, never! Add a proper gitignore, put instructions in CLAUDE.md, AGENTS.md to NEVER read env files. Add pre- and post-hooks in Claude Code to prevent it from reading env files.

Best yet - never keep sensitive data locally on your machine in plaintext
gaurangt
·3 месяца назад·discuss
Project - docmancer

Description - An open-source, MIT-licensed, local-first tool that fetches and indexes technical docs on your machine so coding agents can query it directly. The goal is to become a local, version-aware alternative to tools like Context7.

Contributions welcome - Python, RAG, developers who want to get their first open-source PR

GitHub - https://github.com/docmancer/docmancer

Website - https://www.docmancer.dev/
gaurangt
·3 месяца назад·discuss
I’m working on docmancer (https://github.com/docmancer/docmancer), an MIT-licensed, local-first tool that fetches and indexes technical docs on your machine so coding agents can query it directly.

The goal is to become a local, version-aware alternative to tools like Context7. Pull the docs once, query locally, and use audited packs that match your project stack.

Docmancer also reduces context bloat by returning only the relevant sections instead of dumping full docs into the prompt, which can cut token usage by up to 80%.

No MCP server required. Your coding agents can access docs directly through the CLI.
gaurangt
·3 месяца назад·discuss
Oh, wait, in addition to their usual conspiracy theories, now they can also claim that this is AI-generated!