fallmonkey

7 ms·

1.
by fallmonkey 1y ago
Appreciated the response! I noticed the same when I ran tau2 myself on gpt-5 and 4.1, where gpt-5 is really good at looking at tool results and interleaving those with thinking, while 4.1/o3 struggles to decide the proper next tool to
2.
XAI lays off 500 workers from data annotation team(techcrunch.com)
8 points by fallmonkey 1y ago|1 comments
3.
AI Will Not Make You Rich(joincolossus.com)
4 points by fallmonkey 1y ago|1 comments
4.
by fallmonkey 1y ago
Correct, and with reasoning, the ratio is totally off. As others have pointed out, actual usage is way higher (much more than 3-5x) than the estimation in the article, which is probably for very trivial users.
5.
by fallmonkey 1y ago
The estimation for output token is too low since one reasoning-enabled response can burn through thousands of output tokens. Also low for input tokens since in actual use there're many context (memory, agents.md, rules, etc) included n
6.
by fallmonkey 2y ago
While there're interesting findings here, https://arxiv.org/pdf/2502.03373 (also with a lot of good findings) suggested some contradicting theory on the critical mass of training process/data for the sake of
7.
by fallmonkey 2y ago
Strangely, deepseek has been always a prominent name in open source LLM community since last year, with their repos and papers - https://github.com/deepseek-ai . Nothing of it is really quiet except that they probably burn 1
8.
by fallmonkey 3y ago
There’s an interesting dynamic here. What value of OpenAI to use for conversion calculation? 86b round is pretty much dead if they move to MS, yet 29b is too low (even 86b is low in terms of future potential). And what kind of upward room t
9.
Ask HN: Extend Mental Refractory Period?
2 points by fallmonkey 4y ago|1 comments
10.
by fallmonkey 5y ago
I'd recommend Julie Zhuo's The Making of a Manager. She's got a twitter https://twitter.com/joulee where you could check out her sharing of managerial wisdom to have your own gauge. This book focuses on the p
11.
by fallmonkey 5y ago
On personal anecdotes, I've used the same internet identity across all platforms and it's not hard to locate my real life identity from there...since like 20 years ago when I got on the internet. So all the good reputation and bad
12.
by fallmonkey 5y ago
"A common question I get is about work/life balance. And I view it a little different too now. At Facebook I could get by barely working a few hours a day. But the job was so unsatisfying that it spilled the frustration in the “li
13.
by fallmonkey 5y ago
Yet you might be surprised to know that, in China, all those "offline games" are categorized as online games because they all can be distributed online, when it comes to import reviews. No game is safe from this, really.
14.
by fallmonkey 5y ago
With Google doing front loading(33/33/22/11) and other companies also shifting away from conventional 25% per year vesting to make first few years more attractive, they gotta catch up to stay competitive. Uber recently did th
15.
by fallmonkey 6y ago
I'd like to provide an personal take on this - this will be a bad deal until Uber can be a super app doing 100x more things than it's doing today. So maybe never. Why? Because exactly in China there was consolidation of food deliv
16.
by fallmonkey 7y ago
The title misses the other, and more impactful/unprecedented change of giving everyone "exceeds" rating and skipping perf review for them (except for those high performers who will get separate review). That does far more tha
17.
by fallmonkey 7y ago
But China is making rather good progress so far so maybe something is able to stop the spread?
18.
by fallmonkey 7y ago
I’ve also read this book a couple times but sadly as a engineer in large and mature company I hardly find any opportunities to actually apply or strengthen the learning, then as time goes my learning just decays. How are you tackling the is
19.
by fallmonkey 8y ago
This is indeed very interesting to see and made me want to share my stories. I've also scanned over thousands of books (mostly Japanese manga, in a way to digitalize them and make them persist) myself and ever wondered where tech could
20.
by fallmonkey 9y ago
28% know what it is? That's more surprising to me actually.
21.
by fallmonkey 9y ago
My failed attempt to find ANY information about his father somewhat proves your theory, or google doesn't wanna tell me?
22.
by fallmonkey 9y ago
I've lived in different cities in China and US. 4-6 RMB to 1 USD in major cities like Beijing/Shanghai, and 1-3 RMB to 1 USD in less developed cities or sururban area. Less developed a city is, less RMB to USD in purchasing power
23.
by fallmonkey 10y ago
Hey David, thx for the kind advice. I did ask my current manager about this decision and he did mention that he wants to find a engineering project manager (we have PMs) who could technically manage projects with him so he's not overlo
24.
by fallmonkey 10y ago
Exactly! I've read many HN stories about bad interview experience and I really wish to make it an enjoyable one for both me and candidate by staying away from those new-grad leetcode algorithm questions. Thanks for the kind advice!
25.
Ask HN: How would you interview people with much more experience than you?
20 points by fallmonkey 10y ago|13 comments