hallqv

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.

Been pair-coding with gpt4 for the last week, it's definitely AGI..

Love this insider story

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.

This feature would make mainstream adoption of Mastodon even more unlikely

Peanuts! Magic Leap spent $3.5 bn on a product no one used

Great reply, thanks for sharing your experiences!

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 & innovation is needed it's a no-go.

When will that old fart stop complaining...

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 knows cli >> gui.

I doubt it. Having too many employees is a huge drag on an organizations rate of innovation. Company politics start to run the show.

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.

They could all cut 70%+ without significantly hurting their revenue growth, which makes all the economic sense in the world in the current environment.

Accenture is not even close to MBB in terms on hourly rates (~1/5) & “status”. They are a 3rd tier firm.

Way off. The pricing for gpt3 is $0.02 per 1000 tokens for the largest model. 1000 tokens is about 750 words.

Basically what YC has been touting for years, focus on problems not solutions.

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 conditions.

2) Iterating on the product to increase revenues.

1) results in massive cost savings and 2) increased revenues (with time).

This very much needed since twitter has been a commercial disaster for many years and is heading towards bankruptcy without drastic changes.

Machine learning = if statements? Now that is some proper BS

The irony of having someone from SAP talking about creating a innovative culture

In my experience ACT is most useful form of therapy if you want to live a meaningful life and not just do emotional management

Anyone have recommendations (no pun) for more in depth resources on the subject (large scale recommendation systems)?

Excellent, much neeeded product!

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.

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 cheap cloud computing).

Anyway, it is certainly a mistake to equate generating socieltal value with financial gains. In many settings there is a strong positive correlation (Amazon IMO), others where it's weak (research) and yet others where it's negative (drug dealing).

Cool!

Good stuff! How many hours per week did you put in on average?

Neural net: ”It’s all in the training data, stupid.”

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?

Please tell me why this kind of data collection is harmful for the average user?

I love data collection, it makes the web sing!

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 it's not possible do things the right way (e.g. in a dysfunctional organization).

Excuses. What organization your work for is a choice you've made. You need to make sure you work for a well functioning one, few things are more important. If you can't get hired by one, start one yourself.