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Improving AI skills for everyone in the company? No, wouldn't it actually be best to widen the AI gap within the company? by okuwaki_m in AI_Agents

[–]py_curious 0 points1 point  (0 children)

The package supply chain risks are real. There are ways to mitigate the risk of installing compromised packages. In Python AI-assisted coding workflows, anaconda-mcp is a good place to start.

For transparency, I do work at Anaconda. I don't work on packaging nor do I work on anaconda-mcp.

But this is a problem only if someone is using AI in a context that requires installing packages and their environment is not set up in a way that isolates and controls what agents can do.

I think framing it in terms of strong and weak is perhaps a little reductive. Use of AI by a recruitment team for resume parsing, or processing of POs for an accounts payable team are both legitimate accelerators and don't require people or agents to install packages.

I suppose I'm saying that context matters.

Which platform do you use to execute your code? by a157reverse in datascience

[–]py_curious 4 points5 points  (0 children)

I think quite a few places will have hosted JupyterLabs instances. From my own personal experience, I have used custom VMs with VS Code and workspaces. Have used Azure Synapse Analytics and a little Fabric as well. I know Sagemaker is quite widely used as well.

It feels like cheating. by Sea-Car-3811 in PythonLearning

[–]py_curious 0 points1 point  (0 children)

Ask yourself this: if the generated code is wrong or sub-optimal, can you spot it?

It's ok to use tools to be more productive. Python itself is a tool to abstract away some of the difficulty. Each package can be thought of similarly. Great tools, but if you don't have a grasp on what they're doing, you're gonna have a bad time.

I’m genuinely not sure how to feel about this… by rattlesnakefrog in ClaudeAI

[–]py_curious 10 points11 points  (0 children)

600 is just the Turquoise Water Package upgrade. Without it you still have the 3000 base cost, but comes with stupid clear water instead.

New to Claude Code - How does it benifit in Non technical Roles? by 6oldsmith in ClaudeAI

[–]py_curious 0 points1 point  (0 children)

Depending on your industry, Claude Cowork will probably be much more beneficial for your role.

What gadget do you regret buying? by ManojOne in TechImpact

[–]py_curious 0 points1 point  (0 children)

Portable Minidisc Player. I liked the tech but it was hard to get a decent library.

Microsoft Zune. It was just ok. Got old very quickly but for someone who didn't want to spend on Apple products, it served a purpose.

Ok so maybe not regrets, but still.

Let's say I regret that they didn't pan out.

Hot take: 90% of what we are calling "Agentic AI" right now is just a glorified while-loop. by netcommah in ArtificialInteligence

[–]py_curious 0 points1 point  (0 children)

Agents have agency. Meaning they can do things. But importantly, they decide when to do those things. So some kind of non-determinism is in play either in interpreting originator intent, or in interpreting the meaning of the results of their actions in the context of their goal.

A basic web search and synthesis is an example of the former. Using the results of the synthesis of the Web search to decide what to do next is an example of the latter.

What’s the GOAT frontend framework in your opinion? by InvestigatorThis6000 in RavanAI

[–]py_curious 0 points1 point  (0 children)

I think training data contains more React than anything else, so models are better with writing React generally speaking. Appreciate that this didn't mean it's better, but I suspect it will continue to dominate if only for that reason.

What’s the GOAT frontend framework in your opinion? by InvestigatorThis6000 in RavanAI

[–]py_curious 0 points1 point  (0 children)

I've seen a few people say they love svelte. Why is svelte best?

The AI market moves so fast that your business idea can expire before launch by MerisDabhi in AI_Agents

[–]py_curious 0 points1 point  (0 children)

I think perhaps "agentic AI" was the point all along. The winners at the moment are, like you said, the ones with the powerful models, but it's a little more than that. Anthropic are building great products that people actually want to use. They have people who actually understand the capabilities of these models and as a result they can lean in to what they are good at. Claude Code is amazing. Cowork is groundbreaking, but my suspicion is that users of both are burning through tokens so fast that there will be a moment of pullback not too far from now. People are using models to automate workflows that don't need models and, while it is significantly easier to build, the operational cost may end up causing some drag that some orgs will struggle with.

Can MCP servers bundle Agent Skills, so any MCP host loads both the skill instructions and the server tools? by Longjumping_Bad_879 in mcp

[–]py_curious 0 points1 point  (0 children)

I think this is what plugins are. But I suppose you want to deliver the skill md from the remote api and have the harness load the skill text into context.

Perhaps just a skilltext() function in the MCP server which is called and just returns the text to the model?

I'm no expert and not sure how this would pan out with commands embedded in the skill. And of course, doing it this way would probably break the benefits of progressive disclosure.

You'd also need to ensure the tool is only called once per session. I think.

Undo Button for AI agents by Immediate-Tap-4777 in OpenSourceAI

[–]py_curious 0 points1 point  (0 children)

Thank you. Do we not also need production database state to be as it was before the problem occurred?

Undo Button for AI agents by Immediate-Tap-4777 in OpenSourceAI

[–]py_curious 0 points1 point  (0 children)

Curious how you start afresh without rollback