Npovview

How about ship stuff now even if imperfect. Then as capable models come online, ask them to refactor. This allows you to deliver NOW and refactor later when the situation demands.

Has Doctorow implemented Transfomer from scratch as Lesswrong wants us to atleast pass the smell test?

"Before I go to bed I'll often say "do task X and once done and pushed start on task Y".

Following could solve your problem.

https://www.aihero.dev/skills-handoff

/handoff is my new favourite skill

https://www.youtube.com/watch?v=dtAJ2dOd3ko

Zuck is Equally Excited about all things, as noted by Demis. Zuck is that kid who wants his hand in all cookies jars.

Looks like it.

https://x.com/EngramLab/status/2069465879696576844

https://x.com/karlmehta/status/2069329697843151333

Satya Nadella reveals why every company may need its own AI model: the model becomes the new company database.

"To me, a model is like the database market."

"A firm should be able to take the tacit knowledge it has and embed it inside weights in a model that they control."

"When somebody asks me how many models should there be, I'll say as many models as firms in the world."

The contrarian part: the value may not sit in one universal frontier model. It sits in each company turning its private operating knowledge into a controlled model.

Dave2D covered it very well.

https://youtu.be/Huw11M9aaMk

There are many research avenues which are open which reduces cost dramatically. Smaller task specific/ language specific/ domain specific models, in fact they could even be better. The earlier computers were the size of a building. So prediction based on current state into the unknown future possibilites is wrong. The hardware will be all the more valuable if cheaper ways to run become possible. The hardware gets cornered in a sense.

I wish Rich people did this more often. Not just rich people but rich companies. Not just rich companies but rich governments. But we are a broken society. People should be paying more to OSS for building digital infrastructure.

One more example to know if Company is about to go under is when the finance folks who have access to accounting books are leaving the company.

Sir Humphrey explains the role of a civil servant

https://www.youtube.com/watch?v=wKDdLWAdcbM

"Bernard, I have served eleven governments in the past thirty years. If I had believed in all their policies, I would have been passionately committed to keeping out of the Common Market, and passionately committed to going into it. I would have been utterly convinced of the rightness of nationalising steel. And of denationalising it and renationalising it. On capital punishment, I'd have been a fervent retentionist and an ardent abolitionist. I would've been a Keynesian and a Friedmanite, a grammar school preserver and destroyer, a nationalisation freak and a privatisation maniac; but above all, I would have been a stark, staring, raving schizophrenic."

So plain old ensemble technique in classical ML.

Then there is this as well.

https://www.databricks.com/blog/introducing-omnigent-meta-ha...

You plan to do nothing about them.

Here's another example, let's say we got the news from Andromeda galaxy that Andromeda Hitler is killing lot of people? What do you expect me to do ? Since space and time are equal, similarly we don't lose sleep over bad events that happened in the past.

I agree with you. Self-help industry has evolved to cover lot of nuanced topics. Depression, anxiety adjacent topics. Once the basics are recognized, the other aspects like what to expect when you grow old. what to expect after retirement etc.

How to care less about what other people think, but in a healthy way

https://www.youtube.com/watch?v=7uyR_cXGBMY

Can we measure preventive medicines or projects which have been designed with care from the beginning? Can we have metrics and measure/compare projects over lifetime production bugs?

This reminds me of perverse Amazon practice of hiring people only to fire them to meet quota. This could have been avoided if they measured the average lifetime of hired individuals. If they were fired the very next firing round, it means the process is broken. Ideally a fixed percentage of freshly hired developers should have moved upward displacing senior slacking developers.

There are hour long youtube videos where people explain the process by using a complex toy project. Search for them.

We should create a generalized version of "Gell-Mann Amnesia". This applies not just to fields of study. But also to time and space. We read history as if the person who wrote the history book has perfect knowledge.

I did something different. Instead of describing the image, I described the artist. Made that artist in Ubermensch. Then asked AI to draw the image from his point of view. It worked fabulously.

This is not related to the article. But I would like to see people generated feeds rather than automated feeds.

e.g. contradictory feeds.

1. motivational post followed immediately be demotivational post iteratively. this will allow people not be stuck in one basin of attraction.

2. wealth flaunting posts followed by poverty posts to elicit a strong contrast and inequality.

3. science posts followed by pseudo-science posts

4. feeds that are generated like DJ sets. instead of playing with music, the feed would play with emotions.

Other such combinations.

It was a good run then. Now that guy will run in another organization.

I read this a decade back. Lot of good ideas. Explains lot of different fields and how they operate. I recommend people to read it or use AI to get the gist.

https://dn710707.ca.archive.org/0/items/BridgewaterRayDalioP...

Look at what Nvidia did to Gamers. Nvidia built its castle on the dead bodies of Gamers who supported and cheered for Nvidia.

I think Technical posts should be written with 3 levels of audiences in mind. Expert, Middle, Beginner. But I guess that is not necessary, since AIs can cut the flab easily.

Roboflow is your friend.

Generally thinking tokens are the ones which are verbose. So the speed helps with reducing time for thinking tokens generations and you get your actual output code very fast.

Red Queen hypothesis is a hypothesis in evolutionary biology proposed in 1973, that species must constantly adapt, evolve, and proliferate in order to survive while pitted against ever-evolving opposing species.

Why do we always assume environments and other agents will always remain static.

Turing Award Winner: Thinking Clearly, Paxos vs Raft, Working With Dijkstra | Leslie Lamport

https://www.youtube.com/watch?v=U719vQz-WFs

Leslie Lamport : "I am not smart. I have the gift of abstraction."

Real mathematics isn't about details. Its about concepts and abstractions and how we compose them (LLMs are good at those aspects).

Don't compare human loc with machine loc.

Compare machine to machine (as these headlines come) and discount that by a factor.

https://brownstone.org/articles/since-lockdowns-a-12-gdp-los...

here's an example of Spanish journalist using AI to analyze US inflation data properly.

Playing Devil's advocate, given how much firepower Russia has, why is it so soft on Ukraine. I mean what is the endgoal for Russia here? Tire out the US/NATO Empire just as US did to Soviets in Afghanistan. I sometimes feel like all these events are orchestrated as Simon Dixon talks about them in his videos.

https://www.youtube.com/@SimonDixon21/videos