Founder @pandoreio, building the agentic platform for 3D and reality capture.
Joined January 2011
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Ben WH retweeted
nice. no meatbag shall escape
Purdue University's IDEAS Lab built an autonomous drone that tracks runners through dense forests completely without GPS or cloud networks.
By running 3D LiDAR mapping and obstacle-avoidance AI entirely on-chip, it can weave under tree canopies and predict target movement through blind spots in real time.
Massive implications for next-gen search & rescue and edge AI.
Ben WH retweeted
“Only when the last opportunity has been fully regulated, the last talent fully lost, and the last technology innovation missed, will we realize we cannot eat legal papers.”
More regulation to enable please. Less to limit.
BREAKING NIUS: Für mich ist es einer der unglaublichste Auftritte von Bundeskanzler Friedrich Merz in dessen Amtszeit. Seit 17 Monaten erzählt Merz, er wolle Deutschland deregulieren, unnötige und schädliche Bürokratie beseitigen. Dann hat dieser Bundeskanzler die Möglichkeit, auf der Weltbühne, vor milliardenschweren Investoren dem Nvidia-Chef Jensen Huang eine Frage zu stellen. Und was fragt der Bundeskanzler? Er will wissen, wie man Künstliche Intelligenz am besten REGULIEREN kann. Als Huang antwortet, nunja, erstmal müsse die KI-Industrie in Deutschland aufblühen, bevor man sie regulieren könne, legt Merz nach. Er erklärt Huang, aus seiner Sicht sei entweder eine europäische oder gar eine globale Regulierung notwendig, um die "Schädlichkeit" von KI zu begrenzen.
Every car company in the US or Europe should be worried, and start moving faster
I guess it’s time to buy more CPU
.@auchenberg calculated that Muse needs 65,000 CPUs and 75PB of DRAM to serve 100 million users. That's $2.8B in infra for one app.
It made me think. Facebook alone has over 3 billion users. That's nearly 300x scale for one platform. And they have more platforms with similar numbers.
Just do the math. There aren't enough CPUs in the world to run all of this. A worrisome constraint we're heading toward.
Bravo!
Today, we are launching a preview of our new model, Mistral Large 4 (ML4), aka le Chonk 🐈.
ML4 is a 1T-parameter model with 49B active parameters, trained natively with multimodal capabilities.
It is at the frontier of open models, and by far the strongest open-weight model from the US or Europe.
The RL run behind this preview is still in flight and shows no sign of saturation -- we will release a final version before the end of the month along with the weights of the model.
🧵
1/n
Ben WH retweeted
Introducing Gemini 4 Argon – our new frontier model.
It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.
Ben WH retweeted
with all due respect, what was the new thing?
all i saw was they released their own Grok Bots and some model improvements on speed+price? what did i miss
Ben WH retweeted
I spent most of my 20s building a SaaS app that we scaled to tens of millions in revenue and a 9-figure exit
We had 100+ employees at our peak
And I could (no joke) build a better product with AI in less than 24 hours today
Software has become a commodity
Ben WH retweeted
you can prompt this entire facility
one model controls everything: equipment, researchers, and inventory
I spent two weeks living inside it, working on C5R's launch with Astra – here's what it felt like:
Ben WH retweeted
Opus 5.5 was obviously trained by a much bigger teacher model. Probably Model-2 Mythos. Opus 5.5 is the first model trained from RSI and also distilled from the internal Ant teacher model.
This is how Opus 5.5 is both smaller and cheaper. It is an artifact of teacher model distillation.
Ben WH retweeted
One of the most AGI-pilled elites in the world before the current moment was Henry Kissinger, right up to his death in 2023 at age 100. He saw what very few others in policy did: that AI would reshape national security, great-power competition, and ultimately human civilization more than any other force in the coming decade
Kissinger realized this all the way back in 2016, at age 93, when he attended a talk by Demis Hassabis on AlphaGo. He saw both the technology's potential and its uninterpretability. He devoted the last seven years of his life to AGI-pilling the national security apparatus, writing a 2018 essay in The Atlantic that led to the creation of the National Security Commission on Artificial Intelligence, chaired by his longtime collaborator and coauthor Eric Schmidt
He called AI "as consequential as the advent of nuclear weapons", said in February 2023 that "generative AI presents a philosophical and practical challenge on a scale not experienced since the start of the Enlightenment", and even traveled to Beijing in July 2023, at age 100, to encourage Xi Jinping to hold talks with the US on AI governance, much like US-Soviet talks on nuclear arms control during the Cold War. One month before his death, he wrote a Foreign Affairs piece encouraging Biden to meet with Xi on AI risk, which they did
Few people have both this level of foresight and this degree of neuroplasticity at such an advanced age
Ben WH retweeted
"The craft of writing code will disappear.
Yes there are Italian shoemakers around.
But look at your feet."
Ben WH retweeted
import any web app, remix with your own ideas, and launch to code. never start from scratch 🦾
Introducing the new pen.dev, an agentic canvas for building bold ideas.
Never start from scratch. Import any website or webapp to the canvas, iterate, and push back to code.
Update or download today.
Ben WH retweeted
French finance minister Roland Lescure suggested today that calls to slow down development of AI are a ploy by U.S. AI labs so they can stay in first place, and that France and Europe should ignore them and accelerate instead.
Ben WH retweeted
this is the most disturbing thing I've seen in a long time. I'm not joking for once.
you can just hallucinate the entire internet with Qwen 3.8 27b running at 2,000 tokens/second?
part 2 of turning @cerebras + @Alibaba_Qwen 3.8 27B into an OS:
built an offline browser with zero network calls and mounted it directly the JIT ubuntu desktop.
no wifi. no scraping. zero packets sent to external CDNs.
you search a site, set a year, and qwen 27b at 1,950 tok/s synthesizes the entire DOM on the fly.
here is youtube in 2045 vs 1999:
→ search google for youtube inside the OS
→ scrub to 2045: instant futuristic feed
→ scrub to 1999: raw web 1.0 time capsule in seconds
at this speed, browsing isn't retrieving files from a server, it's querying an alternate reality.
a 2D browser window is just step zero.
imagine full operating systems, virtual worlds, and complex simulation engines existing purely as model weights. zero gigabytes stored on disk, just pure interactive reality streamed on demand.
What else becomes a possibility with the qwen 3.8 27b (dense) at 2000 tokens/sec?