- "Senator Paul, with all due respect, you are entirely, entirely and completely incorrect. The NIH has not ever and does not now fund gain-of-function research in the Wuhan Institute of Virology."
- "There's no reason to be walking around with a mask."
- "The accusation being circulated that I influenced the scientists to change their minds by bribing them with millions of dollars in grant money is absolutely false and simply preposterous."
- "When you get vaccinated, you not only protect your own health and that of the family but also you contribute to the community health by preventing the spread of the virus throughout the community. In other words, you become a dead end to the virus. And when there are a lot of dead ends around, the virus is not going to go anywhere."
The decline of personal freedom in the UK is far more troubling than the rise of AI propaganda.
1. Protest rights have become more restricted
2. Online speech is more regulated and more policed
3. Digital privacy has weakened relative to state power
I may be missing something, but this doesn't read to me like an abstraction or AI-related problem.
It sounds more like a packaging issue. I know he's attempted to edit his resume, but there's missing information here that OP may not even be aware of.
For instance, I recently became the last of two candidates interviewing for a great opportunity that I sadly lost. When I received feedback, it turned out the hiring committee had a completely different sense of one aspect of my work than I had attempted to convey. I'm glad I got the feedback, but it was frustrating to lose after so many interviews.
Then just recently, I interviewed a candidate at my current company who reminded me of OP. Laid off worker, very nice guy, but he had no idea how to portray himself as a dev at the level he was applying for.
I wanted to call him up and coach him, but it didn't seem appropriate, especially since he didn't ask for feedback.
If you are in this position, find a free coaching program that can help you revamp and resell what you have to offer.
It's not fair to have to do that just to get a chance to be paid a fair wage. But companies get thousands of resumes a month and do dozens of interviews.
We try to give candidates a chance to show us who they are, but if what they are showing us doesn’t line up with the role, or their strengths are buried, there’s only so much we can infer. It sucks, because the resume and interview are not the job. But they are the gate you have to get through before anyone sees the work.
Offloading cognition is what one does when they use abstractions that other people made through intense cognition. And it's fine to do that; people can build great things with great abstractions. A woodworker doesn't have to design and construct a tool to make great things with it.
But developing the people [who can build great new abstractions or the people who can build those abstractions into ergonomic tooling] involves a lot of cognitive struggle through which these people learn how to push knowledge forward.
Forming the mental models for how things work takes struggle. Debugging errors in your code forces you to figure out the disconnect between your mental model and reality.
Claude can figure out most errors I show to it much faster than I can, but when we're building something I could build from scratch, I regularly find even Opus 4.7 regularly provides vastly overcomplicated and inferior solutions and I have to redirect it. I assume this is also the case when we're building stuff that's new to me and I just can't recognize all of the overcomplicated suboptimal solutions until I get to testing the behaviors I need to be correct. If I got a tool like this at the start of my career or education, I just don't know how I wouldn't end up completely stunted.
This is not just another abstraction. It is something fundamentally different because it is a jump away from deterministic, transparent processes to a probabilistic black box. It's not like a jump from orality to books to digital media, or hand written arithmetic to calculators to programs. These abstractions were solid and dependable and could be relied upon to tackle harder problems. This abstraction is beyond leaky.
The assumption that "that person understands the issue better than you" is bold when the best AI summaries will often give back completely false summaries on any given issue.
You can make many of the same criticisms about television, or smartphones, or the internet. And indeed, all of those and many other technologies have had terrible effects. But the way to deal with that is to learn and teach how to use them responsibly, with conscious intent. It's certainly true that left to themselves, most people won't do that.
> These abstractions were solid and dependable and could be relied upon to tackle harder problems. This abstraction is beyond leaky.
Much like humans? This is an example of what I'm referring to. Unless you spend the effort to learn how to use the models effectively, you're going to have to wait until others do that for you. In the meantime, a disconnect arises because you're not seeing the benefits because you're not able to use them effectively. But other people are using them effectively and seeing significant benefits.
This isn't politics. This is American imperialism. The constant wars happen regardless of who is elected or what they believe in. Even Obama had his Libya
The first thing you must understand, is this is the US protecting the Petro-dollar. China and Iran were trading goods for oil, and bypassing our currency. Nukes are a factor as well.
In what world could using Gemini 2.5 with any sort of a prompt objectively prove anything? We might be entering a wholly new epistemological crisis if this question means what it implies.
Also just bad faith comments muddying the waters. The evidence has been abundantly available to any inquisitive minds to find out for themselves Musk's worldview, goals and especially his methods, the simpler explanation is they are merely following his example of corrupting online discussions with low effort rhetorical bait, whether they are aware of the imitation or not. The net is flooded with many such clones.
It is very clear what it is. A nazi salute is not performed "accidentally". Especially not in front of thousands of people. This is no laughing matter: millions of people were killed by people performing that salute.
And if anybody has any doubt, it's enough to listen to the guy, and his support for extreme-right.
Define "not trivial". Obviously, experience helps, as with any tool. But it's hardly rocket science.
It seems to me the biggest barrier is that the person driving the tool needs to be experienced enough to recognize and assist when it runs into issues. But that's little different from any sophisticated tool.
It seems to me a lot of the criticism comes from placing completely unrealistic expectations on an LLM. "It's not perfect, therefore it sucks."
As of about three months ago, one of the most important skills in effective LLM coding is coding agent environment design.
If you want to use a tool like Claude Code (or Gemini CLI or Cursor agent mode or Code CLI or Qwen Code) to solve complex problems you need to give them an environment they can operate in where they can solve that problem without causing too much damage if something goes wrong.
You need to think about sandboxing, and what tools to expose to them, and what secrets (if any) they should have access to, and how to control the risk of prompt injection if they might be exposed to potentially malicious sources of tokens.
The other week I wanted to experiment with some optimizations of configurations on my Fly.io hosted containers. I used Claude Code for this by:
- Creating a new Fly organization which I called Scratchpad
- Assigning that a spending limit (in case my coding agent went rogue or made dumb expensive mistakes)
- Creating a Fly API token that could only manipulate that organization - so I could be sure my coding agent couldn't touch any of my production deployments
- Putting together some examples of how to use the Fly CLI tool to deploy an app with a configuration change - just enough information that Claude Code could start running its own deploys
- Running Claude Code such that it had access to the relevant Fly command authenticated with my new Scratchpad API token
With all of the above in place I could run Claude in --dangerously-skip-permissions mode and know that the absolute worse that could happen is it might burn through the spending limit I had set.
This took a while to figure out! But now... any time I want to experiment with new Fly configuration patterns I can outsource much of that work safely to Claude.
The statement I responded to was, "creating an effective workflow is not trivial".
There are plenty of useful LLM workflows that are possible to create pretty trivially.
The example you gave is not hardly the first thing a beginning LLM user would need. Yes, more sophisticated uses of an advanced tool require more experience. There's nothing different from any other tool here. You can find similar debates about programming languages.
Again, what I said in my original comment applies: people place unrealistic expectations on LLMs.
I suspect that this is at least partly is a psychological game people unconsciously play to try to minimize the competence of LLMs, to reduce the level of threat they feel. A sort of variation of terror management theory.
For one - I’d say scoped API tokens that prevent messing with resources across logical domains (eg prod vs nonprod, distinct github repos, etc) is best practice in general. Blowing up a resource with a broadly scoped token isn’t a failure mode unique to LLMs.
edit: I don’t have personal experience around spending limits but I vaguely recall them being useful for folks who want to set up AWS resources and swing for the fences, in startups without thinking too deeply about the infra. Again this isn’t a failure mode unique to LLMs although I can appreciate it not mapping perfectly to your scenario above
edit #2: fwict the LLM specific context of your scenario above is: providing examples, setting up API access somehow (eg maybe invoking a CLI?). The rest to me seems like good old software engineering
I don’t really see how it’s different than how you’d setup someone really junior to have a playground of sorts.
It’s not exactly a groundbreaking line of reasoning that leads one to the conclusion of “I shouldn’t let this non-deterministic system access production servers.”
Now, setting up an LLM so that they can iterate without a human in the loop is a learned skill, but not a huge one.
I don’t think anyone expects perfection. Programs crash, drives die, and computers can break anytime. But we expect our tools to be reliable and not fight with it everyday to get it to work.
I don’t have to debug Emacs every day to write code. My CI workflow just runs every time a PR is created. When I type ‘make tests’, I get a report back. None of those things are perfect, but they are reliable.
- "There's no reason to be walking around with a mask."
- "The accusation being circulated that I influenced the scientists to change their minds by bribing them with millions of dollars in grant money is absolutely false and simply preposterous."
- "When you get vaccinated, you not only protect your own health and that of the family but also you contribute to the community health by preventing the spread of the virus throughout the community. In other words, you become a dead end to the virus. And when there are a lot of dead ends around, the virus is not going to go anywhere."