The black stone that tells you if the gold is real. Human testing for AI-built software — one API call, a structured verdict.touchstone-qa.com 🌏 Joined July 2026
The real beauty of using a Chinese LLM stays in the ability to read the real thinking of the model.
It's some incredible, you need to do it, you learn more from that than anywhere else!
Elon Musk says:
"for software engineering, we already have a situation where AI is better than at least 90% of professional software engineers at writing software"
It is getting to the point where it'll be better than 99%, and then there'll be no way to compete
Spent all day running DeepSeek-V4-Flash 0731 through multi-hour, challenging tasks and managed to spend only $0.31
Similar tasks last week with Kimi K3 and similar priced models cost me $35
Be sure to watch tomorrow's YouTube video to see what it made! (spoiler: the expensive
Catching skin cancer early is a home robotics problem.
Melanoma is highly treatable when detected early, yet today’s screening process depends heavily on patients noticing tiny changes across their entire skin surface. This requires patients to solve a near-impossible visual-memory and registration problem.
I built OpenDerm, an open-source 4-DOF robot that captures high-resolution images of the skin and uses them to reconstruct and track the skin surface in 3D over time.
The best way to make skin screening truly routine is to bring it into the home. OpenDerm shows that inexpensive robotic skin imaging is possible, but the path to scale is not a dedicated screening robot in every household—it is to make skin screening one of the many useful things a general-purpose home robot can do.
Read more about why I built OpenDerm and how it works here:
Blog: marionlepert.github.io/blog/openderm-…
Project: openderm.github.io
Creator of Claude Code just dropped a free masterclass on agent engineering with Opus 5 from 0% to 100%:
“80% of our engineers are using self-improving loops”
10% → 3:38 - why they deleted 80% of the system prompt
30% →6:55 - delete your CLAUDE.md every 6 months
55% →17:44 - one prompt, 11 days, entire codebase rewritten
80% → 21:59 - the prompt that's been running for 15 days
100% →25:27 - two promts that spawn 1,000 agents
most people are still writing longer prompts - he's deleting them and running 1,000 agents instead
bookmark & watch - then read the full agent orchestration playbook below ↓
I don’t think you understand what ChatGPT Voice unlocks
I went on a 4 hour hike yesterday. Through the northern California redwoods.
Got more work done in those 4 hours talking to Voice through my AirPods then I do in 8 hours at my desk
Work can be done ANYWHERE now
45 minute drive back using self driving? Now 45 minutes I can talk to Voice and work on side projects
20 minutes in the cafe? I can sit and talk to Voice and when I get home I have drafts on my computer for my newsletter for the next month
Being able to just use your voice to talk to a super intelligence that controls your computer is unlike anything we’ve ever experienced before
I don’t even care that the voice sounds human like, or you can interrupt it, or any of the wild advancements they made to the tech
It’s the fact that it can control my computer, meaning all I need to get incredible work done is talk through my AirPods anywhere in the world that is the major game changer for me
I don’t think people truly understand the implications of this yet
Why even have a desk or monitor anymore. Work can be done ANYWHERE now
The key is your set up:
1. Choose one device (preferably an always on desktop) as your main “headquarters” device all your work gets done on
2. Get the ChatGPT app on all your other devices (iPhone, iPad, laptops, Mac Minis)
3. Set up ‘connections’ in your settings so that all your ‘node’ devices can control your ‘headquarters’ device
4. Go legit anywhere in the world. Turn on Voice. Ask it to brief you on your projects, give you a recommended next step, then spin up new threads to do work
I really don’t think work looks the same moving forward.
did you know?
Anthropic comes from the Greek word "ánthrōpos", meaning "human being"
and yet the company named after humanity refuses to share its model weights, or even support open-weight / open-source models with humanity
Open has always been at the heart of how we build at AMD.
That’s why we’re joining @Microsoft and others in signing an open letter supporting open-weight AI models. A strong AI ecosystem depends on open standards, interoperability and choice across software, systems and
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
images.nvidia.com/pdf/Open-Weigh…
166K Followers 824 FollowingProf. of CS. AI Safety Researcher. Host of The Roman Forum Podcast https://t.co/832CyJbPkR Talks/Interviews: [email protected]
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3K Followers 73 FollowingBenchmarking models across effort levels and harnesses on eval suites with real coding tasks. Because you don't need High or Max effort as much as you think.
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