Readit NewsNo one, except Steve Ballmer, would describe it as a potential fad or question how good it can actually get before Apple goes bankrupt from all the investment into this new tech.
I like this new stuff we get now, but the iPhone felt like a clear win with no downsides of a potential societal collapse.
I live in the Netherlands, where the average teenager used to ride a regular Dutch city bike. Internal hub, no-frills bicycles.
Nowadays, however, fat e-bikes are all the rage among that age group. They are quickly becoming extremely popular, and are essentially electric scooters without plates or registration. Many of them require little or no effort to pedal, and can carry up to two riders in them. These are also designed to meet regulations, while also being able to easily be modified to circumvent them, such as removing speed restrictions, and removing the need to pedal itself.
This is also reflected in the shape of these things, which generally does not account for ergonomics. Their seat and handlebars are usually fixed in place. They appear to be designed without pedaling in mind, as exerting effort without proper ergonomics would quickly become uncomfortable and painful. You can actually see some such bikes in the linked article.
Time will tell whether this is truly healthy to them, but I have a hard time believing this to be the case. I think the fat bike demographic might start putting on weight.
Gladly is at the forefront of building retail e-commerce AI. Our AI is live in production with customer-centric brands like Crate & Barrel, Ulta Beauty, and Allbirds. We have the ingredients that make AI work: rich data, close customer partnerships, and a strong engineering culture.
We're hiring a Staff Software Engineer to lead major AI & Automation initiatives. This is a high-impact, hands-on role for someone who wants to ship fast, collaborate deeply, and build systems that help real people.
You should have:
- 10+ years of full-stack experience (Go, TypeScript, React, Postgres a plus)
- Experience with generative AI, multi-agent systems, RAG pipelines
- A bias toward impact and product thinking
- Excellent collaboration and mentorship skills
Bonus: Entrepreneurial or other leadership experience.
We're a remote-first company with competitive pay, meaningful equity, and a focus on doing real work with great people.
Learn more + apply: https://www.gladly.ai/careers
Or reach out directly: gerad@gladly.ai
Gladly is at the forefront of building retail e-commerce AI. Our AI is live in production with customer-centric brands like Crate & Barrel, Ulta Beauty, and Allbirds. We have the ingredients that make AI work: rich data, close customer partnerships, and a strong engineering culture.
We're hiring a Staff Software Engineer to lead major AI & Automation initiatives. This is a high-impact, hands-on role for someone who wants to ship fast, collaborate deeply, and build systems that help real people.
You’ll:
- Architect and build core AI-powered features
- Lead and mentor other senior engineers
- Collaborate directly with design, product, and customers
- Ship quickly and often, with real feedback from real usage
- Evaluate and introduce new AI tools and best practices
You should have:
- 10+ years of full-stack experience (Go, TypeScript, React, Postgres a plus)
- Experience with generative AI, multi-agent systems, RAG pipelines
- A bias toward impact and product thinking
- Excellent collaboration and mentorship skills
Bonus: Entrepreneurial or other leadership experience.
We're a remote-first company with competitive pay, meaningful equity, and a focus on doing real work with great people.
Learn more + apply: https://www.gladly.ai/careers
Or reach out directly: gerad@gladly.ai
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Today, you hire an intern and they need a lot of hand-holding, are often a net tax on the org, and they deliver a modest benefit.
Tomorrow's interns will be accustomed to using AI, will need less hand-holding, will be able to leverage AI to deliver more. Their total impact will be much higher.
The whole "entry level is screwed" view only works if you assume that companies want all of the drawbacks of interns and entry level employees AND there is some finite amount of work to be done, so yeah, they can get those drawbacks more cheaply from AI instead.
But I just don't see it. I would much rather have one entry level employee producing the work of six because they know how to use AI. Everywhere I've worked, from 1-person startup to the biggest tech companies, has had a huge surplus of work to be done. We all talk about ruthless prioritization because of that limit.
So... why exactly is the entry level screwed?
Seems like an LLM should be able to judge a prompt, and collaboratively work with the user to improve it if necessary.