920 karma · joined November 22, 2024
Building a product is easier now, same way making a photograph is easier now. Making a reliable and high income living out of it though, it looks increasingly uncertain.
In a world with abundant music and photography, just saying that you made your music using Reason/ProTools or you made your photograph with a Leica isn't enough. I believe the same will happen with software. Sales, product design, customer service and operational aspects like uptime will matter more than the software itself. Ironically, this is the kind of stuff the HN type highly dislikes.
It has certainly been better for junior devs, mid devs, anyone looking for zirp era salary growth and supply demand ratios. For a senior code-adverse coaster looking forward to see his static salary get eaten by inflation, life has indeed never been better.
I am sorry but could you explain the meaning of this sentence?
False sense of security. What's stopping the agents from doing an elaborate form of "Assert.IsTrue(true)" in some/most/all of the tests since you are vibing it and not reviewing it?
That doesn't apply to private hire vehicle drivers afaik.
You forgot about the sentient non-veg elements that also get added to it. Is that done with love too?
Eternal September. Just like the usenet groups
Actually, it (LLM models) has been advancing slower for a while. This is pretty much in the mainstream. And the current approach is facing all sorts of obstacles that are not exclusively technological. The compute needs are no longer sustainable. Financially, big labs are drowning in debt and backlash against data centres has grown so much that it has become an electoral topic in at least one major country.
Just like mostly everything he writes about.
Yep, the good old "Our tech is making the world a better place" has gotten old and a new approach was needed. If you are not making standard databases obsolete with a blockchain or MapReduce or gaining business enlightenment from Big Data, no one wants to fund your startup. Civilisation level change is the new upper bound.
That's assuming the infrastructure needed to develop models stays available financially and supply wise. A lot of the services used to train and develop models are supplied and funded by people who are looking for multiple returns of investment. If/when OpenAI and Anthropic valuations fall and they inevitably get acquired, will Meta/Alphabet/Microsoft still want to spend lots of money for unclear returns in the short-term? Nvidia and co are on a one way train service to hype town. I don't think they will be happy to get on a coach to hype town Temu version. The shareholders likely won't.
Also, the backlash against LLMs is growing rapidly. AI content, data centres, etc is quickly gaining negative connotations outside of visual and music artists circles. While existing models are going nowhere, developing more advanced models is very quickly getting unpopular. LLMs Data centres increasing people's bills, Anthropic destroying old books, chat bots giving unethical advice to vulnerable people, etc. It won't be long before LLM infrastructure becoming an electoral issue.
Will a small research oriented community be big enough justify maintaining the apparatus needed to produce infra tech at a profitable level post OpenAI?
That is why you must think carefully who you vouch for. Like in a house party. If you bring someone who does not act well, it reflects bad on you.
Ultimately, a shrinking contributor pool is the inevitable consequence of code generation being virtually free.
On top of this, you would want an expirable proof of humanity to reduce account takeover as a security vector and publicly sharing failed proof attempts would quickly deter actors from targeting projects en masse.