Editing notes on the content - the content of this blog post is clearly AI-enhanced (emdash) which is ok but the tone is not. It's super flowery and oversold - example "It was a shift from a single laser to a powerful floodlight."
Readit NewsThe author is a respected voice in tech and a good proxy of investor mindset, but the LLM claims are wrong.
They are not only unsupported by recent research trends and general patterns in ML and computing, but also by emerging developments in China, which the post even mentions.
Nonetheless, the post is thoughtful and helpful for calibrating investor sentiment.
What is wrong about their claims?
No mention of product prototyping products e.g. vercel v0 or Firebase Studio. Those to me seem like clear 0->1 wins, especially vercel with their hosting/marketplace integrating well with AI-driven development.
Here's the sorted Equifax list:
Minnesota 730
New Hampshire 727
Wisconsin 727
Vermont 726
Massachusetts 723
South Dakota 722
Washington 722
Colorado 720
Maine 720
Montana 720
North Dakota 720
Nebraska 720
Hawaii 719
Iowa 719
Utah 719
Idaho 718
Connecticut 717
New Jersey 717
Oregon 717
New York 713
Pennsylvania 713
Rhode Island 713
Wyoming 713
California 712
Illinois 712
Kansas 712
Virginia 712
Michigan 710
Alaska 709
Maryland 706
Ohio 706
Delaware 705
Missouri 705
Dist. of Col. 704
Indiana 704
Arizona 703
North Carolina 699
Florida 698
Tennessee 697
Kentucky 695
New Mexico 695
Puerto Rico 695
West Virginia 693
South Carolina 692
Nevada 691
Arkansas 688
Oklahoma 687
Georgia 686
Texas 686
Alabama 685
Louisiana 680
Mississippi 675
Any ranking of states that ends with Mississippi is one I can get behind
ariwilson commented on I used o3 to profile myself from my saved Pocket links noperator.dev/posts/o3-po... · Posted by u/noperator
Cool article!
ariwilson commented on The unreasonable effectiveness of an LLM agent loop with tool use sketch.dev/blog/agent-loo... · Posted by u/crawshaw
The main problem with agents is that they aren't reflecting on their own performance and pausing their own execution to ask a human for help aggressively enough. Agents can run on for 20+ iterations in many cases successfully, but also will need hand holding after every iteration in some cases.
They're a lot like a human in that regard, but we haven't been building that reflection and self awareness into them so far, so it's like a junior that doesn't realize when they're over their depth and should get help.
Is there value in adding an overseer LLM that measures the progress between n steps and if it's too low stops and calls out to a human?
ariwilson commented on Teaching LLMs how to solid model willpatrick.xyz/technolog... · Posted by u/wgpatrick
I'm a great user for this problem as I just got a 3D printer and I'm no good at modeling. I'm doing tutorials and printing a few things with TinkerCAD now, but my historic visualization sense is not great. I used SketchUp when I had a working Oculus Quest which was very cool but not sure how practical it is.
Unfortunately I tried to generate OpenSCAD a few times to make more complex things and it hasn't been a great experience. I just tried o3 with the prompt "create a cool case for a Pixel 6 Pro in openscad" and, even after a few attempts at fixing, still had a bunch of non-working parts with e.g. the USB-C port in the wrong place, missing or incorrect speaker holes, a design motif for the case not connected to the case, etc.
It reminds me of ChatGPT in late 2022 when it could generate code that worked for simple cases but anything mildly subtle it would randomly mess up. Maybe someone needs to finetune one of the more advanced models on some data / screenshots from Thingiverse or MakerWorld?
It was a privilege, people abused it, and now it's over. And managers were the worst offenders.
I fall more into the latter camp (at least I hope so) and, given I've only worked in nice offices with catered lunches, gyms, video games, offsites, etc, I enjoy a 3 day hybrid schedule works best for me.