I am way more productive with $200/month of AI than I would be with $5,000/month of junior developer. And it isn’t close.
What if you are going to spend 5400 either way, you go all agent or get an apprentice and an agent for them too.
Readit Newsposlathian commented on Orchestrate teams of Claude Code sessions code.claude.com/docs/en/a... · Posted by u/davidbarker
poslathian commented on Accounting for Computer Scientists (2011) martin.kleppmann.com/2011... · Posted by u/tosh
This is the freshest take I have ever seen. Kudos, so cool.
My professional career has been 20 years of physical ai research and now industry. My dad insisted I take corporate accounting in undergrad.
It’s a skill I use every single day, double entry bookkeeping is one humanities great inventions and deeply related to conservation laws utility in various other areas. Could not have built my business without having gotten so into this Topic.
poslathian commented on FPGAs Need a New Future allaboutcircuits.com/indu... · Posted by u/thawawaycold
The problem is that FPGA companies don't see themselves as chip companies.
They see themselves as CAD software companies. The chip is just a copy-protection dongle.
Pushing 20 years in industry and this is the best take I’ve heard
because the business hierarchy clearly couldnt support it. take that for what you will.
as I understand, Bell Labs mandate was to improve the network, which had tons of great threads to pull on: plastics for handsets, transistors for amplification, information theory for capacity on fixed copper.
Google and Meta are ads businesses with a lot less surface area for such a mandate to have similar impact and, frankly, exciting projects people want to do.
Meanwhile they still have tons of cash so, why not, throw money at solving Atari or other shiny programs.
Also, for cultural reasons, there’s been a huge shift to expensive monolithic “moonshot programs” whose expenses need on-demand progress to justify and are simply slower and way less innovative.
3 passionate designers hiding deep inside Apple can side hustle up the key gestures that make multi touch baked enough to see a path to an iPhone - long before iPhone was any sort endgame direction they were being managed to.
Innovation thrives on lots of small teams mostly failing in the search for something worth doubling down on.
Googles et al have a new approach - aim for the moon, budget and staff for the moon, then burn cash while no one ever really polished up the fundamental enabling pieces in hindsight they needed to succeed
I still don't get the point of Gaussian Splats. How are they better than triangles?
They are differentiable which allows for image based rendering via solving the inverse of the rendering function via gradient decent
poslathian commented on Random Attractors – Found using Lyapunov Exponents (2001) paulbourke.net/fractals/l... · Posted by u/cs702
Is anyone doing anything besides visualizations with this chaos stuff? I liked the article linked below depicting the state space of artificial neurons: https://towardsdatascience.com/attractors-in-neural-network-...
Absolutely!
These techniques are the key unlocks to robustifying AI and creating certifiable trust in their behavior.
Starting with pre-deep neural network era stuff like LQR-RRT trees, to the hot topic today of contraction theory, and control barrier certificates in autonomous vehicles
poslathian commented on Nvidia buys $5B in Intel tomshardware.com/pc-compo... · Posted by u/stycznik
I remember when I was studying for an MBA.. a professor was talking about the intangible value of a brand .. and finance.. and how they would reflect on each other ..
At some point we were decomposing the parts of a balance sheet and they asked if one could sell the goodwill to invest in something else .. and the answer was of course .. no… well.. America has proven us wrong .. the way you sell the goodwill is to basically enshittification.. you quickly burn all your brand reputation by lowering your costs with shittier products .. your goodwill goes to 0 but your income increases so stock go up .. the CEO gets a fat bonus for it .. even tho the company itself is destroyed .. then the CEO quickly abandons ship and does the same on their next company .. rinse and repeat… infinite money!
We always called this “monetizing the brand” and it’s been annoying me since at least when Sperry when private equity and the shoes stopped being multi-year daily drivers
poslathian commented on Microsoft Favors Anthropic over OpenAI for Visual Studio Code theverge.com/report/77864... · Posted by u/corvad
It might be that they pay less for anthropic depending how many tokens are generated by each model: total cost is token cost times number of tokens. I haven't checked gpt5, but it is not impossible that price wise they might be very comparable if you account for reasoning tokens used.
Is it possible that regardless of what they pay they think Anthropic is negative margin on it?
poslathian commented on Making games in Go: 3 months without LLMs vs. 3 days with LLMs marianogappa.github.io/so... · Posted by u/maloga
This holds in other areas as well, and to me at least the conclusion follows from the evidence: there is seemingly a lot of potential in agent coding, a few tasks are just crushed/solved (quick webapp demos, other library stitching in the small) but for real software in the large? It's not there yet in either the way the models are tuned or our collective expertise in using them.
And this isn't surprising: git-style revision control hit the scene almost 20 years ago, it was like 5 years until it was totally dialed in anywhere, another 5 before elite companies had it totally figured out, and its been slowely diffusing since, today its pretty figured out. And this is harder to use right than git.
I think it would go faster actually if every product release, every OSS tool, every god-damned blog post wasn't hell bent on saying "its done, its solved, old way cooked, new world arrived".
We're figuring it out and it takes time. That's OK.
If it was done, then we'd be drowning in great software. We're not, we're breaking even, which is impressive for a big new thing 1-2 years in.
This true - and git was not a moving target. AI core tech has certainly slowed down but still moving fast enough to make hard won lessons worthless and investing in learning them questionable.
Public is when the government holds the wallet and pays vendors. Private is when they give a wallet to someone else to pay the vendors.
After becoming familiar with the reality of the cost inflation of (in my case local government real estate) development projects vs private I chalked it up to graft, incentives, and mismanagement.
Actually your comment is probably more correct - adds a whole step to move the wallet. Misaligned incentives and mismanagement are probably more equal across public/private than we like to believe