hallqv

11 ms·

61.
by hallqv 4y ago
What rock have you been living under for the last decade if you thought IBM would solve AGI? Watson was a complete disaster and they have zero AI talent in the company.
62.
by hallqv 4y ago
Been pair-coding with gpt4 for the last week, it's definitely AGI..
63.
by hallqv 4y ago
Love this insider story
64.
by hallqv 4y ago
Good. AI ethics is 95% bs and generally a waste of time. Can be relevant for some edge cases in AI applications but it has been getting way too much attention/mind-share by the field as a whole.
65.
by hallqv 4y ago
This feature would make mainstream adoption of Mastodon even more unlikely
66.
by hallqv 4y ago
Peanuts! Magic Leap spent $3.5 bn on a product no one used
67.
by hallqv 4y ago
Great reply, thanks for sharing your experiences!
68.
by hallqv 4y ago
Sundar is perfect example of an incompetent professional CEO who exceeds at schmoozing and company politics. He's even ex-McKinsey... Works for managing large corps through "business-as-usual" peacetimes but as soon as change
69.
by hallqv 4y ago
When will that old fart stop complaining...
70.
by hallqv 4y ago
Very short-sighted post, future chat interfaces will of course guide the user in the right direction by asking the right questions, like a very skilled personal assistant. Text interfaces will make most guis obsolete, every power cumputer k
71.
by hallqv 4y ago
I doubt it. Having too many employees is a huge drag on an organizations rate of innovation. Company politics start to run the show.
72.
by hallqv 4y ago
Haha, had the exact same reaction when reading the top comments here.. Google, along with rest of FAANG are massively over staffed, which they could get away with in a zero-interest rate economy when money was super-cheap, but not anymore.
73.
AI - the end of programming as we know it?(zdnet.com)
1 points by hallqv 4y ago|0 comments
74.
by hallqv 4y ago
Accenture is not even close to MBB in terms on hourly rates (~1/5) & “status”. They are a 3rd tier firm.
75.
by hallqv 4y ago
Way off. The pricing for gpt3 is $0.02 per 1000 tokens for the largest model. 1000 tokens is about 750 words.
76.
by hallqv 4y ago
Basically what YC has been touting for years, focus on problems not solutions.
77.
by hallqv 4y ago
What Elon is doing right now with twitter is two-fold: 1) Getting rid of employees who are not a fit for a high-pressure, performance focused, environment, either by firing them directly or them voluntarily resigning due to stricter working
78.
by hallqv 4y ago
Machine learning = if statements? Now that is some proper BS
79.
by hallqv 4y ago
The irony of having someone from SAP talking about creating a innovative culture
80.
by hallqv 4y ago
In my experience ACT is most useful form of therapy if you want to live a meaningful life and not just do emotional management
81.
by hallqv 5y ago
Anyone have recommendations (no pun) for more in depth resources on the subject (large scale recommendation systems)?
82.
by hallqv 5y ago
Excellent, much neeeded product!
83.
by hallqv 5y ago
Yeeeah, idk how significant this is… I live in the north of Sweden where we don’t get a lot of sunlight. Not many fat people here compared to other parts of the world where people get a lot more sun exposure.
84.
by hallqv 5y ago
Would I argue that the societal value of Amazon is actually huge (AUC-wise). Amazon positively impacts all of it's employees, consumers as well as other companies (my company wouldn't exists if AWS hadn't paved the wave for c
85.
by hallqv 5y ago
Cool!
86.
by hallqv 5y ago
Good stuff! How many hours per week did you put in on average?
87.
by hallqv 5y ago
Neural net: ”It’s all in the training data, stupid.”
88.
by hallqv 5y ago
As many poster already pointed out the article is absolute rubbish due to conflation of wealth gain with income. Would love to get my hands on the actual IRS data though. Any ideas?
89.
by hallqv 6y ago
Please tell me why this kind of data collection is harmful for the average user? I love data collection, it makes the web sing!
90.
by hallqv 6y ago
You don't need to be Elon Musk to think hard about if you are optimizing for solving real world problems or something else. It's a habit of mind and the courage to change your circustances if you find yourself in a situation where

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