swframe2

Either way, I suggested you try to build and launch 1 product per month. For example, someone launched a SAAS for excel formulas that now makes +$2M.

It's my understanding that when you purchase content you get a license that is limited to terms the seller defines (i.e. only if the content is delivered from seller's approved data sources, only if the content is viewed on a seller approved device, only if the content has a seller approved drm, etc).

The North Atlantic’s ‘cold blob’ may signal a major current’s decline https://www.sciencenews.org/article/cold-blob-may-signal-cur...

I can't find any references to the company online anymore. The product was a c++ interpreter (created from the founder's compiler class project) and IDE. This was before java/python/javascript/etc. The interpreter would catch errors and you could mix interpreted code and binary code. Pure software displaced it.

In the late 80s, a friend turned his comsci class project into a product. The company was making about $25m. It died due to a patent dispute. He later started a dot com that is still very successful.

I saw this recently: https://www.youtube.com/watch?v=tS_fJJxMjn4

TL;DR Byd is amazing and fatally flawed. The details are too much to place here.

I hope we create whalegemma (similar to dolphingemma) so we can explain to them how to co-exist better with humans (e.g. avoid this area during their whale hunting season, travel to this area if you get sick or tangled in rope).

Reminds me of the palantir clone: https://www.youtube.com/watch?v=rXvU7bPJ8n4

This is the year when solo software firms start to dominate.

I've noticed 2 very obvious trends. The high-performers who previously wrote the most PRs are now using AI the most aggressively and the number PRs they produce has almost doubled. The other trend is that large teams are being split into smaller teams that work on new products. I hope the trend is more projects and less grunt coding. (I know the ai coders are not yet L6 but I suspect they will achieve L3-L5 this year).

The model in this repo seems pretty good: https://github.com/xuebinqin/DIS

I suspect we need to build MCP servers that prevent destructive commands. For example, we need a "bash" tool doesn't invoke /usr/bin executables directly. The agent should think it is invoking a unix command but those commands are proxies that prevent destructive operations with no ability for an agent to circumvent the restrictions. If there isn't a MCP server for your specific setup/need, building one just for your need should be your first step.

This Welch Labs video is very helpful: https://www.youtube.com/watch?v=qx7hirqgfuU

I use 2 32" 4K which cost about $800 for both monitors. The small gap between the monitors is annoying but I can't really justify paying $2k more. Also there is a samsung dual 4k that is about the same price as the dell.

Moving my head to see everything doesn't bother me. I also have a setup with 3 32" 4k which I find a little too wide but in that setup 1 monitor connects to different computer.

The AI market is hard to predict due to the constant development of new algorithms that could emerge unexpectedly. Refer to this summary of Ilya's opinions for insights into the necessity of these new algorithms: https://youtu.be/DcrXHTOxi3I

DeepSeek is a valuable product, but its open-source nature makes it difficult to displace larger competitors. Any advancements can be quickly adopted, and in fact, it may inadvertently strengthen these companies by highlighting weaknesses in their current strategies.

There is an interesting exploration of human networks discussed in this veritasium video: https://www.youtube.com/watch?v=CYlon2tvywA

Basically, when network connectivity increases, the "bad" nodes can overwhelm the "good" nodes. The other ideas discussed are really interesting; well worth watching.

If DOJ knows the destination wallets can they trace the transactions ...

into the wallets back to the victims?

from the wallets forward to the others working with the scammer?

I think those of us who want youtube without the distractions should start a campaign to convince google to make https://www.youtube.com/learning better. I think even tweeting about it so that our efforts are reported by large news outlets would work. If there aren't enough users asking for this feature, we will be ignored. Someone needs to build a website that coordinates our efforts.

Preventing garbage just requires that you take into account the cognitive limits of the agent. For example ...

1) Don't ask for large / complex change. Ask for a plan but ask it to implement the plan in small steps and ask the model to test each step before starting the next.

2) For really complex steps, ask the model to write code to visualize the problem and solution.

3) If the model fails on a given step, ask it to add logging to the code, save the logs, run the tests and the review the logs to determine what went wrong. Do this repeatedly until the step works well.

4) Ask the model to look at your existing code and determine how it was designed to implement a task. Some times the model will put all of the changes in one file but your code has a cleaner design the model doesn't take into account.

I've seen other people blog about their tricks and tips. I do still see garbage results but not as high as 95%.

The Anthropic's research on how LLMs reason shows that LLMs are quite flawed.

I wonder if we can use an LLM to deeply analyze and fix the flaws.

What do you think of the recent anthropic research on how LLMs reason? It is clear from their shallow analysis that LLMs have very serious reasoning weaknesses. I wonder if those weaknesses can be "addressed" if we build LLMs that can do deeper analysis and use RL to self-improve. LLMs improving LLMs would be a very impressive step towards AGI.

I'm hoping this alternative image prompt preprocessing technique gets more attention:

https://art-msra.github.io/

Basically, the user's image prompt is converted to a several prompts to generate parts of the final image in layers which are combined. The layers are still available so that edits can cleanly update one section without affecting the others.

I saw an interesting quote from the deekseek CEO:

"When tackling a task, experienced people might reflexively tell you 'this is how it should be done,' while those without experience will experiment repeatedly, think deeply about the best approach, and ultimately find a solution tailored to the actual circumstances."

I do not think that OpenAI is out of ideas, but I do believe that large businesses have difficulty overcoming the innovator's dilemma. In addition to big businesses, there are also many small and very smart companies that are using investors' over exuberance to their advantage. Nevertheless, there are enough people trying that some are likely to find a way to develop higher-quality models at a lower cost.

trump spreads his income perfectly across all his LLCs. Their expenses always exactly match their income to the penny. I wonder why he is able to do that?

Please note that the 24H2 update will remove the Mixed Reality Portal and Windows Mixed Reality support. If you have a VR headset it might not work after the update. There are articles that claim that steamvr is still supported but it didn’t work for me.

When you run their demo locally, there are two places that trigger a warning that the code loads the weights unsafely. To learn more about this issue, search "pytorch model load safety issues" on Google.

I tried using Hunyuan3D-2 on a 4090 GPU. The Windows install encountered build errors, but it worked better on WSL Ubuntu. I first tried it with CUDA 11.3 but got a build error. Switching to CUDA 12.4 worked better. I ran it with their demo image but it reported that the mesh was too big. I removed the mesh size check and it ran fine on the 4090. It is a bit slow on my i9 14k with 128G of memory.

(I previously tried the stability 3d models: https://stability.ai/stable-3d and this seems similar in quality and speed)

Just accept that we all are part nature and part nurture. I suspect your good friends accept you as you are; some probably really like you as you are. It is also kind of relative; Hang out with the some people and you will always feel stupid or smart. I think you should focus on doing things that you and others find very interesting. There is a famous line from Dune that basically says "fear is the mind-killer"; generalize that to "thinking too negatively about yourself can lead to poor outcomes".

I clicked on a bad link a few months ago. I can't believe I fell for it. I've disabled javascript by default in my browser and only enable it for websites that I trust. It is painful for some websites that redirect a lot.

What are you doing to reduce your chances of running bad javascript code?

Related maybe, I got a new phone number and I was able to use it to sign into the previous owner's account at a site that uses 2FA. I noticed it when I tried to setup a new account for myself. The website wouldn't allow it but it happily allowed to me access the previous owner's account. It was inconsistent, removing the phone from their account required their password but changing many other important fields didn't.

To build an LLM that can reason about the 3d world. I suspect they will add the ability to reason about the physics of the world next. It's just another attempt to get closer to AGI.

They most likely will have to pivot a few times but once they show their LLM solving problems that others can't, the others will quickly add these features too. Right now, it is cheaper to wait for World Labs to go first. The others are not that far behind: https://cat-4d.github.io/