greatpostman

9 ms·

1.
by greatpostman 1y ago
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
2.
by greatpostman 1y ago
300 a month is cheap for what is basically a junior engineer
3.
by greatpostman 1y ago
Why was this downvoted
4.
by greatpostman 1y ago
Theres alot of really rich crypto people in nyc that are up to no good.
5.
by greatpostman 1y ago
Way higher chance
6.
by greatpostman 1y ago
I’m suspicious about n8n being able to abstract properly to allow for dynamic agentic workflows. Anyone have actual experience?
7.
by greatpostman 1y ago
Yup. You get Bucketed and there is no growth
8.
by greatpostman 1y ago
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
9.
by greatpostman 1y ago
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 in
10.
by greatpostman 1y ago
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
11.
by greatpostman 1y ago
Calling everything a bubble is low iq. People that cannot understand society, or accept change, run with the bubble narrative at every turn
12.
by greatpostman 1y ago
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
13.
by greatpostman 2y ago
I can guarantee you, nothing is simple about S3. I bet engineers spend months on a single configuration change to the underlying subsystems.
14.
by greatpostman 2y ago
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
15.
by greatpostman 2y ago
Have pro, can’t see it yet
16.
by greatpostman 2y ago
There won’t be massive ai layoffs. Companies will just stop hiring
17.
by greatpostman 2y ago
Same, tried to fall back to sonnet 3.5, ended up just logging off
18.
by greatpostman 2y ago
Most FAANG teams are grid locked with gatekeeping engineers.
19.
by greatpostman 2y ago
The value of a college degree is in the toilet
20.
by greatpostman 2y ago
This is probably correlated with so many other cofounding factors, like employment/stress/substance abuse
21.
by greatpostman 2y ago
I can’t stand people that won’t accept that Elon is exceptional
22.
by greatpostman 2y ago
The real bummer is building An elegant system and then leaving your job. All that effort, owned by someone else.
23.
by greatpostman 2y ago
Never build a product for some random non technical founder
24.
by greatpostman 2y ago
Even more bullish from me, they have something
25.
by greatpostman 2y ago
No but I would be very bearish about consistent mediocre releases
26.
by greatpostman 2y ago
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
27.
by greatpostman 2y ago
Front end will go first. Designers will become front end engineers
28.
by greatpostman 2y ago
Ai negativity clickbait
29.
by greatpostman 2y ago
Alternative data is passed into time series models. They are features. You don’t know as much about this as you think
30.
by greatpostman 2y ago
The best deep learning time series models are closed source inside hedge funds.

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