johnwildauer
3.3K posts


100% in California would support competent politicians who didn’t plunder our state budget of hundreds of billions.
PS - state pensions are bankrupt and they are hiding it from you.
The Hill@thehill
Half in California would support one-time tax on ultrawealthy: Poll thehill.com/homenews/state…
English

New agent technology dropping at a consistent pace… Notion, Google and Microsoft all dropped respectable agents in the same week.
I’m going to stay in the minority of users and focus on making the cross-platform, open source project @openclaw work
OC with API access to the SaaS startup stack (Notion, slack gsuite zoom etc) and an open source model running on local silicon is the goal.
I feel like the big prize for startups is in owning your data, the front end, your corporate memory and refining proprietary skills.
I might be wrong — thoughts?
Satya Nadella@satyanadella
Announcing Copilot Cowork, a new way to complete tasks and get work done in M365. When you hand off a task to Cowork, it turns your request into a plan and executes it across your apps and files, grounded in your work data and operating within M365’s security and governance boundaries.
English

imagine a world where everyone gets a full body preventative MRI scan every year, overseen and examined by a doctor/radiologist, double checked and verified by a neural network trained on the sum of depersonalized data from willing participants (this can be incentivized, especially early on - allow use of image data to help this better all of humanity and you get 2 free scans/years, etc.)
what is the value of catching virtually every disease, cancer, or health issue before it shows itself?
English

@chamath when people think of AI this is what they should think of first
LLMs are just a small part of the picture, similar to how games/gaming is just a fraction of the usefulness of general computing
this stuff here is the stuff that matters
English

Four years ago, I invested ~$40M and got involved helping build a small publicly listed company in Canada called Perimeter Medical.
Why?
They were trying to build an AI enabled device to help doctors do cancer surgeries better: take a tumor out from a patient, analyze it with AI while still in the surgical theater and tell with precision if all the cancer was taken out. If yes, close the patient up. If not, go back and get all the cancer.
Well, we got FDA approval today!!
Our product, Claire, became the FIRST FDA-approved AI-enabled imaging device for breast cancer surgery. We also got Breakthrough Designation.
Currently, ~20% of women face repeat surgeries because surgeons "didn't get it all". What’s even worse is that they typically don’t find out for 10 days after the surgery until pathology has reviewed the resected tumor. That is 10 days of waiting and worrying for patients.
Claire’s real-time AI + OCT tech delivers 10x the resolution of standard X-rays, identifying suspicious tissue during a surgery so surgeons can act immediately.
Claire is now a regulated tool that sits in the workflow, in real time, while a surgeon is operating. It is just the start for what this platform can do for cancer care.
We will first focus on ~300,000 breast cancer surgeries per year in the U.S., and then grow into other solid tumors over time.
From a systems perspective, it’s also what “real AI” looks like: invisible to the patient, indispensable to the clinician, and measured in fewer surgeries and better treatment experience .
Congratulations to @adrianvmendes and the @perimetermed team.
English

Get 280 Substrate materials designed for high-fidelity automotive rendering in UE 5.7 for FREE on @fab!
Explore a physically accurate, production-ready material foundation for automotive visualization. Get more info here: epic.gm/automotive-sub…
English

@Jason what’s the biggest pain point with your openclaw setups? i want to take a crack at it
English

Agents everywhere... in notion, slack and claude cowork.
Excited to see if this NOTION effort does a better job than my OpenClaw agents
Notion@NotionHQ
Introducing Custom Agents. The AI team that never sleeps 🌙 They’re autonomous, built for teams, and easy for anyone to build. Give them a job, set a trigger or schedule, and they'll get it done 'round the clock.
English

understanding the fundamental skillsets (painting light and shadow, modelling with clean topo/uv, camera placement, mise en scene, etc) are still incredibly valuable - these just enable better understanding of what tools are available and how to use them
barring the ethical considerations of training data (above my pay grade), I'm not seeing how this doesn't just boil down to A -> B comparisons along the good/fast/cheap metrics we already evaluate every pipeline with
English

perhaps? I assumed so based on the other comment mentioning zbrush - but I'm more interested in how well you could translate the idea from your mind (or a clients mind) to the image/model/output/etc, and how well it hits the desired target
becomes very easy to cost-benefit analysis of that compared to "traditional" (let's just say, non-AI toolset) workflow
English

@mattworkman i mean if that's the extent to which neural networks were used in this, there's basically no difference between that and using other computer generated techniques e.g. perlin noise
English

@mattworkman i think the questions I'd rather have answered are;
how well were you able to art direct this, or how responsive was it to design changes you wanted to make?
how much post/cleanup required before getting it in-engine (target being real-time)?
English

@mattworkman I usually soft reference the objects, especially if I want to selectively load certain items - are you using the Asset Manager?
English






