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captaincaveman commented on Panic at the Job Market   matt.sh/panic-at-the-job-... · Posted by u/speckx
ipaddr · a year ago
I can figure out in 5 minutes how someone is going to do. Just based on the resume alone in most cases.

What do you do with the remaining 4 hours and 55 minutes?

The take home test tells me little. I don't know who did the work, how long it took. I know they must really need the work because they gave away 2 hours of free work, that might be a red flag. If they guessed the coding standards we use then we pass them?

If you care about seeing their code ask them for a sample. Some people people github profiles with code on their resume. Use some of the time you have: the 4 hours 55 minutes and check yourself. It will be more representative of their work.

captaincaveman · a year ago
Thinking you can figure out someone in 5 minutes makes you a no hire from me ;)
captaincaveman commented on Story points are pointless, measure queues   brightball.com/articles/s... · Posted by u/brightball
aussieguy1234 · a year ago
Ive been in lots of teams using story points. What I've found is that what one point is worth is never consistent between teams. A 3 for one team could be a 1 for another. Or a 1 could be 0.5/0.25.

In one team, 3 points might be equivalent to 3 days work. In another it might be 1 day.

captaincaveman · a year ago
Yeah, and thats fine, there is literally no need to have them consistent between teams.
captaincaveman commented on New JavaScript Set Methods   developer.mozilla.org/en-... · Posted by u/soheilpro
bavell · a year ago
Perhaps it's asking too much but it would be great to see performance comparisons of these new set methods versus naive JS.

Not sure when I'll have a chance to use them but seems pretty comprehensive in covering all the basics.

captaincaveman · a year ago
Agree, a main benefit of using these would be performance gains.
captaincaveman commented on Why we no longer use LangChain for building our AI agents   octomind.dev/blog/why-we-... · Posted by u/ma_za
captaincaveman · a year ago
I think LangChain basically tried to do a land grab, insert itself between developers and LLM's. But it didn't add significant value and seemed to dress it up by adding abstractions that didn't really make sense. It was that abstraction gobbledygook smell that made me cautious.
captaincaveman commented on ARC Prize – a $1M+ competition towards open AGI progress   arcprize.org/blog/launch... · Posted by u/mikeknoop
naasking · 2 years ago
> I don't think we see a cat and our brain have it frame by frame adjust our synaptic weights (or whatever brains do)

I think that "whatever we do" is doing a lot of heavy lifting here. Some of those "whatevers" will be isomorphic to a frame-level analysis that pulls out structural commonalities, or close enough that it's not a clunky reductionist analogy.

captaincaveman · 2 years ago
When we see what we think is a cat, what we have categorised as a cat, I don't think we are looking at it from each angle and going, cat, cat, cat. I think there is an aspect of something like the 'free-energy principle' that is required to trigger off a re-assessment. So while visually we may receive 20fps of cat images, it's mostly discarded unless there is some novelty that challenges expectation.
captaincaveman commented on ARC Prize – a $1M+ competition towards open AGI progress   arcprize.org/blog/launch... · Posted by u/mikeknoop
naasking · 2 years ago
One interaction that captures a multidimensional, multisensory set of perceptions. In an ML training set, say for visual recognition, this would consist at least of hundreds of images from many angles, in different poses and varied lighting.
captaincaveman · 2 years ago
I don't think its analogous, I don't think we see a cat and our brain have it frame by frame adjust our synaptic weights (or whatever brains do). The whole premise of natural brains being able to learn by static images or disjointed modalities is a very clunky reductionist engineered approach we have taken.
captaincaveman commented on ARC Prize – a $1M+ competition towards open AGI progress   arcprize.org/blog/launch... · Posted by u/mikeknoop
allanrbo · 2 years ago
If a human eye works at say 10 fps, then 8 minutes with a cat is about 10k images :-D
captaincaveman · 2 years ago
I'd say that was more like a single instance, one interaction with a thing.
captaincaveman commented on Silicon Valley's best kept secret: Founder liquidity   stefantheard.com/silicon-... · Posted by u/mooreds
matthewsinclair · 2 years ago
This reminds me of how I have seen a few asks lately for roles where a company is looking for a CTO for their “AI startup”. How an “AI startup” (whatever that might actually mean) can _start up_ without a CTO is beyond me, and raises some very big red flags about what that company might be up to.
captaincaveman · 2 years ago
Mostly someone has a Phd and convinced people to give them money to 'change the world', then need someone who has actually built things beyond a script in a python notebook.
captaincaveman commented on Ask HN: What are your personal red flags when you're interviewing at a company?    · Posted by u/bazil376
captaincaveman · 2 years ago
Pompousness and self importance, we all get interviewed at some point don't power trip, it should be a humble two way conversation.
captaincaveman commented on Ask HN: Do you think AI Agents are overhyped?    · Posted by u/sabrina_ramonov
captaincaveman · 2 years ago
I think there is potential, but at the moment it's

1. RAG your data 2. Magic 3. Agent business logic 4. $$$

where step 2 is very unclear.

Also agent architecture what is it? A basic FSM which in essence is a bunch of business logic/rules with LLM API calls, how do you make this reliable for transactions.

I've yet to see a decent example of a business process replaced which isn't a question answer scenario i.e. call centre type role.

u/captaincaveman

KarmaCake day294April 26, 2021View Original