Well, the author specifically mentions the puzzle of how it produces nicotine. Nicotine was first identified and isolated as a chemical in 1828, based on a quick google. So, no one was wondering about nicotine production before then because they didn’t know what it was.
I had been considering getting a Bambu printer precisely for this reason. I had gotten into 3d printing in the reprap era, before selling it off due to lack of space. I don’t really want to get back into that constant calibration and test prints every time the ambient temp or humidity changes a few percentage points. Not to mention the painstaking initial setup. I just want to design and print, not become a 3d printer technician again.
I think if Walter White were the type to need ChatGPT to figure out meth production, he would have just spent the whole series in that RV, getting nowhere, and accidentally blowing himself up.
Sorry, this is not a good argument. It's sad that some skills are devalued when so many have invested years into them, but it is a net win when more people can create something without having to become an expert. Experts don't deserve to have a moat built around them. I say this as a software engineer with 16yoe who is dealing with the same challenges.
They already have corporate sponsorships from Google, Meta, Nvidia, and other big companies. Anthropic is just joining the list. This is actually good for Blender.
I built an internal company MCP that uses Google Workspace auth and injects a mix of guidance (disguised as tools) on how we would like certain tasks to be accomplished via Claude as well as API-like capabilities for querying internal data and safely deploying small apps internally.
I’d really love to get away from the SSE MCP endpoints we use, as the Claude desktop app can get really finicky about disconnects. I thought about distributing some CLIs with Skills instead. But, MCP can be easily updated with new tools and instructions, and it’s easy to explain how to add to Claude for non-technical people. I can’t imagine trying to make sure everyone in my company had the latest skill and CLI on their machine.
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When they invented cars (and cars became popular and affordable), people did stop walking everywhere. Jogging wasn’t popularized until the 1970s, when we all realized we needed to be intentional with fitness in our car-based society.
I recently started riding a motorcycle in the last 2 years. One of my favorite aspects of motorcycles are how easy it is to find a solid 30-year-old bike that still runs well and costs less than $5k. You can still buy parts for it… 30 _years_ later. Nothing else in my life shares that quality. I can continue repairing them and keep them running, which is a fun little hobby.
I really want to like the idea of electric motorcycles, but I have very low confidence that they would be built for the long term. Having to worry about software and security makes me even less excited.
Anthropic is the leading enterprise LLM provider. All they have to do is keep building a best-performing product, charge what they need, and keep costs as far down as possible. If my company knew there were an LLM 1.5x as good as Opus, they would be willing to pay 3x the cost. If it were being sold by Anthropic, they’d be even more likely to pay, since we could easily keep our same tooling.
“We do treat many, to catch a few” is not a secret though. It’s the basis for maintaining herd immunity via vaccination. I get being concerned about vaccines in newborns, but I have yet to hear a compelling argument that vaccines don’t play a significant role in disease eradication that we now enjoy.
This 1000 times. I’ve tried implementing what OP has mentioned, and quickly learned it isn’t possible. A city can also exist in multiple zip codes. And there can be multiple cities with the same name in the same state. So, to be safe, you have to enter city, state, and zip.
It means that if we cut off or discourage immigration, we can’t count on non-native citizens to continue boosting our numbers. So, we have to look at the native-born stats to get an idea of our future.
It’s hard to compare, honestly. Last year, my PM didn’t have the AI tools to do any of this, and engineers were spread thin. Now, the PM (with a specialized Claude Code environment) has the enthusiasm of a new software engineer and the product instincts of a senior PM.
In a bear market in a bloated company, maybe. We’re still actively hiring at my startup, even with going all-in on AI across the company. My PM is currently shipping major features (with my review) faster and with higher-quality code than any engineer did last year.
That last benchmark seemed like an impressive leg up against Opus until I saw the sneaky footnote that it was actually a Sonnet result. Why even include it then, other than hoping people don't notice?
This is my own proposal, based on my own experience in helping guide a startup through adoption of Claude Code across all roles. Right now, Claude does very little to encourage safe secret handling, which seems like a significant miss. Most engineers know how to mitigate risks of secret exposure (or avoid giving Claude secrets at all via proxies and such), but non-engineers simply don't have that learned skillset.
Of course, none of this prevents Claude from running scripts that read and expose secret values at runtime. However, with LLMs building and testing so much software, this is one proposed piece to help reduce some vectors of exposure.
[Note: my submission was written with assistance from Claude.]
You will probably never actually be able to create actual Claude chats from OpenAI chats, but you could ask Claude to read and distill your old OpenAI chats into Claude chat context. It won’t be the same, but it’s better than nothing, depending on what you’re hoping to get out of it.
Considering they trained their model on open-source software, the least they could do is give it to open-source maintainers for free with no time limit. I’m sure they can come up with other ways to prevent abuse. This 6-months-free move just adds insult to injury, like it’s just a move to extract more from those who involuntarily contributed to the training already. And that’s coming from me, a Claude Code fan.