HN user
Benchmarks aren’t broken, the models can learn anything. If we give them true real world data (physics engine), they will learn the real world. We are going to see artificial general intelligence in our lifetime
300 a month is cheap for what is basically a junior engineer
Why was this downvoted
Theres alot of really rich crypto people in nyc that are up to no good.
Way higher chance
I’m suspicious about n8n being able to abstract properly to allow for dynamic agentic workflows. Anyone have actual experience?
Yup. You get Bucketed and there is no growth
Once the business hits a certain level of revenue, the mvp is finished etc, whoever is the face of the company, I.e. CEO has way more power. CTO if they have shipped a complete product that’s getting paying customers can be replaced with an engineering manager. But not before
Getting the product to some level of completion is a monumental lift
Honestly, o3 has completely blown my mind in terms of ability to come up with useful abstractions beyond what I would normally build. Most people claiming LLMs are limited just arent using the tools enough, and cant see the trajectory of increasing ability
Living in NYC, I have been around a TON of venture backed startups with the classic non technical CEO, technical CTO. Some HUGE percentage of startups see the CTO fired once the tech stack and revenue are stabilized.
The incentive from the CEOs perspective to remove a contender as well as claw back the equity is huge. Early stage the CTO is the most critical, but after real traction they can be replaced far easier than most want to admit.
My advice for technical founders is to always place themselves first, from a legal and organizational perspective. For a technical founder with social skills, a non technical founder brings very little value relative to their vesting in the early stage.
Calling everything a bubble is low iq. People that cannot understand society, or accept change, run with the bubble narrative at every turn
I’m pretty sure as you get older your emotions are more blunted, and you don’t form the same level of bond as you would with someone when you’re 22
I can guarantee you, nothing is simple about S3. I bet engineers spend months on a single configuration change to the underlying subsystems.
Engineers at ai labs just come from prestigious schools and don’t have technical depth. They are smart, but they simply aren’t qualified to do deep technical innovation
Have pro, can’t see it yet
There won’t be massive ai layoffs. Companies will just stop hiring
Same, tried to fall back to sonnet 3.5, ended up just logging off
Most FAANG teams are grid locked with gatekeeping engineers.
The value of a college degree is in the toilet
This is probably correlated with so many other cofounding factors, like employment/stress/substance abuse
I can’t stand people that won’t accept that Elon is exceptional
The real bummer is building An elegant system and then leaving your job. All that effort, owned by someone else.
Never build a product for some random non technical founder
Even more bullish from me, they have something
No but I would be very bearish about consistent mediocre releases
Lack of releases from OpenAI make me more bullish on them. Clearly they have something big they’re working on, they don’t care about competing with current models
Front end will go first. Designers will become front end engineers
Ai negativity clickbait
Alternative data is passed into time series models. They are features.
You don’t know as much about this as you think
The best deep learning time series models are closed source inside hedge funds.