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kburman

1,102 カルマ登録 9 年前

投稿

The Most Counterintuitive Way to Build a Brain [video]

youtube.com
2 ポイント·投稿者 kburman·2 か月前·0 コメント

The physics behind Flow Matching models [video]

youtube.com
3 ポイント·投稿者 kburman·3 か月前·1 コメント

LM Studio may possibly be infected with sophisticated malware

old.reddit.com
5 ポイント·投稿者 kburman·4 か月前·0 コメント

How deep-sea mining is growing China's influence in the Pacific

cnn.com
2 ポイント·投稿者 kburman·4 か月前·0 コメント

The MIT paper that showed space can be more powerful than time [video]

youtube.com
1 ポイント·投稿者 kburman·4 か月前·1 コメント

Let's Build Recursive Language Models (Theory and Code) [video]

youtube.com
2 ポイント·投稿者 kburman·5 か月前·0 コメント

Build Your Own AI Coding Agent (Full Guide) [video]

youtube.com
2 ポイント·投稿者 kburman·6 か月前·0 コメント

The mongo db situation is crazy [video]

youtube.com
3 ポイント·投稿者 kburman·7 か月前·0 コメント

コメント

kburman
·一昨日·議論
`seams` is the new emdash
kburman
·13 日前·議論
[flagged]
kburman
·17 日前·議論
[flagged]
kburman
·先月·議論
I wonder if Elon would now reconsider IPO.
kburman
·先月·議論
All new accounts created within few min. Nothing to see here.
kburman
·2 か月前·議論
> If it stays at arm's length, and if it can "read only", then I am OK with it and actually somewhat pleased with it.

This isn't actually about AI. it's just classic human psychology.

You’ve had a rock-solid workflow for 25 years, so it makes total sense to be cautious and reject features you don't need.

Right now, keeping it at "arm's length" and "read-only" feels safe. But that's usually just phase one. Once that initial trust is established, those boundaries naturally start to melt away. Give it a couple of tax seasons, and you’ll probably find yourself wanting it to take on more of the heavy lifting.
kburman
·2 か月前·議論
[dead]
kburman
·2 か月前·議論
Simultaneous speech is best.
kburman
·3 か月前·議論
What a time. I am back here genuinely wishing for OpenAI to release a great model, because without stiff competition, it feels like Anthropic has completely lost its mind.
kburman
·3 か月前·議論
Has anyone here used Kimi for actual work?

I tried it once, although it looks amazing on benchmarks, my experience was just okay-ish.

On the other hand, Qwen 3.6 is really good. It’s still not close to Opus, but it’s easily on par with Sonnet.
kburman
·3 か月前·議論
Anthropic must be loving it. It's free money.
kburman
·3 か月前·議論
Recently, Anthropic has been making bad decisions after bad decisions.
kburman
·3 か月前·議論
looks like opus have been nerfed from day1
kburman
·3 か月前·議論
[dead]
kburman
·3 か月前·議論
Interactive tutorial - https://diffusion.fyi/tutorials/fundamentals?ch=0
kburman
·4 か月前·議論
https://arxiv.org/abs/2502.17779
kburman
·4 か月前·議論
I’m struggling to understand the recent wave of backlash against MCP. As a standard, it elegantly solves a very real set of integration problems without forcing you to buy into a massive framework.

It provides a unified way to connect tools (whether local via stdio or remote via HTTP), handles bidirectional JSON-RPC communication natively, and forces tools to be explicit about their capabilities, which is exactly what you want for managing LLM context and agentic workflows.

This current anti-MCP hype train feels highly reminiscent of the recent phase where people started badmouthing JSON in favor of the latest niche markup language. It’s just hype driven contrarianism trying to reinvent the wheel.
kburman
·4 か月前·議論
The "Junior Trap" is real: if you offload your thinking to Claude or GPT-4, you’re hitting "Done" for the day, but you’re accruing massive Learning Debt. You aren't building the failure-pattern recognition that actually makes an engineer valuable.

In a world where "Code is no longer a skill," the only way to survive is to stop being a "Prompt Operator" and start being a "System Auditor." If you can’t explain the trade-offs of the architectural pattern the AI just gave you, you aren't an engineer, you're just the person holding the screwdriver while the machine builds the house.
kburman
·4 か月前·議論
Amazing work! I'd love to hear more details about your workflow with Claude Code.

As a side note and this isn't a knock on your project specifically. I think the community needs to normalize disclaimers for "vibe-coded" packages. Consumers really need to understand the potential risks of relying on agent-generated code upfront.
kburman
·4 か月前·議論
Honestly, with recent models, these types of tasks are very much possible. Now it mostly depends on whether you are using the model correctly or not.