Video from today: https://x.com/NASAArtemis/status/2039411225205886979

The Chinese models are open source because they are not state of the art. Once they catch-up or lead, they will likely close them down by a government mandate. Just like Meta was fine with Llama being open source but once they started to get close to OpenAI/Google/Anthropic, they shifted their language to "maybe we won't keep doing that."

The idea that AI will end the "rent-seeking class" that has effectively existed for thousands of years is... not going to happen! The business model just adjusts. And if AI is going to be an economy-shaping super disruptor, the cloud-hosted models will continue evolving beyond what you could ever run at home under the desk.

[1] https://www.managedhealthcareexecutive.com/view/health-syste...

Spec-wise, this is as good as an M1-M2 Air, which is already an over-powered device for most non-professionals. All the "compromises" they made, like no center stage in the camera, less ports, only one monitor support, "just WiFi 6E", and others, are all non-issues for a typical average consumers.

And the price is the best it could be. At $499 for students, in a year's time when Gen2 is released, you will find a new Gen1 at possibly $399, and a refurbished Gen1 at even less. I don't see why anyone who wants an "entry-level/starter laptop" would buy anything but a Neo. We already are in a world in which average people don't need specific Windows-only apps. Most common apps are either cross-platform or web-based.

Dell, HP and alike are lucky that they're being enamored with datacenter server demand. I expect them to shift-away from the consumer laptop market and focus more on the enterprise in the coming years, which could have negative consequences for their pro-lineups.

I love the idea; definitely something I ran into a few times before and wish I had.

Unfortunately, I am not installing a closed-source daemon with access to the filesystem from an unknown (to me) developer. I will bookmark this and revisit in a few weeks and hope you had published the source. :)

The system is broken, but going without insurance is you basically toying with the odds of life.

Comments URL: https://news.ycombinator.com/item?id=44894584

Points: 4

# Comments: 1

[0] https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what...

You've two outcomes from this, either you do find a disruptive AI angle and move a sufficiently-large part of your team to it, or you don't, but figure out a minimal effort that would satisfy the "investor positioning angle". The third option, to do nothing or aggressively push back against AI and the CEO's desire, would potentially yield to no Series C or a down-round, which is something that you, your CEO, and your customers would not like.

They need to either find a more accurate way, or... give up!

1) While A.I. may now be only adding 10-20% of productivity gains, the rapid pace of improvement leaves open the possibility that tha gains can be soon much more than that. So, instead of scaling your company now, if you can afford to, wait out a bit and see where this goes.

2) Even though much of BigTech is clawing back WFH, startups aren't as much. And once you introduce WFH to your culture and processes, it is hard to reason with the idea that you should pay $200K/year for an engineer when it can cost you a fraction (possibly 20-50% of that) to hire them remotely from another country, when also nowadays most of these remote employees are more than willing to work in EST/PST timezones. This used to be the case before COVID, but now many more startups have accepted and adapted to the idea of WFH.

3) While advanced skillsets and deep experience is necessary in many (but not most) startups, and while these skills are more difficult to find in India or Pakistan, the reality is, for many, many tech companies, most of the work doesn't require top-notch skills. You don't need a top 99% percentile in frontend engineering skills for a 1-year-old "name whatever category" app. And with the recent rise of focus on profitability, frugality, and the difficulty in fund-raising, being cognizant of cost per talent is now a thing.

I think Elon and Vivek's comments are more nuanced than they are taken. Elon, given he's at the cutting edge of engineering, must be having difficulty hiring top-99.9%-percentile talent against BigTech, and wants to open the pool of these types of talent from elsewhere. I don't think he wants H1Bs for React Native engineers. I am interpreting his comments as "I want to suck-in all A.I. researchers into America".

I hope they'd write an article about any insights they gained. Like them, I hear of these rumors and stigma, and would be intrigued to learn what a new person to COBOL encountered while implementing this rather complex first project.

Comments URL: https://news.ycombinator.com/item?id=42441347

Points: 18

# Comments: 3