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Timo Heuer retweeted
Over the past two months, we have been leading a coalition to mitigate one of the most severe bugs in open source software found in recent memory, php2shell, found as part of our Patch the Planet initiative.
Germany knows how to build, and now it’s bringing that expertise to industrial AI. 🇩🇪
Tonight in Berlin, @JensenHuang and Chancellor @_FriedrichMerz discussed combining German engineering with NVIDIA AI to advance manufacturing and automotive.
We’re also backing Germany’s builders, with new planned investments in Agile Robots SE, @aveliosmed, @MireloAI, and @reflexaerospace, spanning robotics, healthcare, creative tools, and space.
Meet the companies and catch up on today’s news from Berlin: blogs.nvidia.com/blog/german…
Timo Heuer retweeted
BREAKING: Nvidia has now announced 4 investments into German startups 🇩🇪:
@MireloAI - develops AI models that generate sound effects, speech and music for video, helping creators and production teams produce high-quality audio that perfectly matches their visuals on screen.
@AgileRobots - which builds AI-powered robots, from robotic arms to its Agile ONE humanoid, for manufacturing, logistics and healthcare.
@aveliosmed - develops an AI-native hospital information system that serves as the core system of record for clinical and administrative workflows, integrating AI directly into hospital operations to free up doctors and nurses to deliver better patient care.
@reflexaerospace - designs and builds high-performance satellites ready for launch in about 12 months instead of years.
The company has already invested in n8n, Neura Robotics and Black Forest Labs.
Timo Heuer retweeted
Replying to @bdambrosio @LinusEkenstam
The cost is dropping faster than any transformative technology in history, 54 times faster than electricity, and it's been dropping at this same rate since GPT-3.
Timo Heuer retweeted
AE to their SE after bringing on a customer who needs a ton of implementation support
Timo Heuer retweeted
Assorted things I've been mulling over regarding agents in the economy:
• Companies are in some sense the original superintelligence. It's often the case that they can use their amortized cognitive surplus to advance their interests against those of certain consumers: relative to the optimization capacity of companies, consumers can be inattentive, underinformed, irrational, etc. (Think, say, of some of the classic insurance upsells at the end of a booking process, which is typically priced substantially above what a regular policy would cost.) Herbert Simon introduced the idea of bounded rationality, and firms often end up benefiting from it. Thanks to personal agents, we will probably get somewhat more rational in how we engage with companies.
• How exactly will outcomes change? Well, certain kinds of price discrimination will work less well (how do coupons work if every agent hunts fastidiously for them?), and certain kinds of customer cross-subsidy will change (today, people who forget to cancel subscriptions subsidize those who don't). Taken across the economy as a whole, I'm not sure what the incidence of all of this will be.
• In corporate strategy, people have long debated the relative importance of distribution and product quality. Perhaps you've made something better, but does anyone know about it? Won't people just continue to buy the ACME Corp Mousetraps? Personal agents will, I think, act as a kind of structural subsidy for product quality. How would markets look different if individuals always spent at least 10 hours researching their purchases? On the margin, focusing on making a product better is, I think, going to become a more effective strategy for companies. This is good!
• It true, a corollary is that information about product quality will become more important and impactful. Today, most people have very limited ability to aggregate and integrate such data, but agents will have insatiable thirst for such signals. (It's often said that data is becoming more valuable because it helps in the training of models. That's obviously true, but I think there's a secondary way in which it's more valuable simply as a complement to cheaper intelligence.)
• A big question is whether agents will increase superstar effects (rational agents all settle on the same product) or increase dispersion (because everyone has slightly different tastes and preferences, which agents are good at eliciting, finally overcoming the artificial clustering we've been subjected to).
• Many internet companies have monetized demand routing, which is in turn often predicated on short attention spans. "I'll click on the first thing I see." This has led to some amount of inefficiency, as companies try to propitiate capricious ranking algorithms and incur various placement fees. It's not all deadweight loss (willingness to pay is itself a kind of signal, which is valuable to buyers), but it's not great. How will the nature and value of this routing change in a world of personal agents? I don't know the answer, but I think that the effects might be pretty big.
• Much of what I'm writing hinges on the assumption that personal agents will be on the consumer's side. I suspect that that will be the winning strategy, but whether it's true, and what it means to be true, involves a lot of other questions.
Taken as a whole, the market is a massively parallelized, decentralized, and highly imperfect value attribution machine, and, taking stock of all of the effects, it seems to me that the quality point may well be the biggest: that agents will change the nature of the backpropagation such that the rewards for better products increase. Maybe this is too optimistic, but I suspect (and hope) that companies that make things that they're proud of will feel that the universe is a little more partisan in their favor.
Timo Heuer retweeted
Industrial software doesn’t have to feel like industrial software
Manage warehouses like you’re playing a strategy game
Built with Opus 5.5
Timo Heuer retweeted
We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks:
Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better:
Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better:
Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better:
Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work!
In summary:
- As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.
- Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.
Timo Heuer retweeted
Introducing Eleven v4 and Eleven v4 Turbo, our fastest and most emotive voice models yet.
Ranked #1 by Artificial Analysis.
Timo Heuer retweeted
We instituted an official AI Writing Policy at @Clay.
Massive thanks to @sophiebits on our engineering team who wrote this.
Originally this was just for eng, but other teams found it so helpful we expanded it company-wide.
Here are the four guiding principles:
1. You must stand behind every idea and sentence
It is your responsibility to make sure that the entire document is representative of your own thoughts before you share it.
2. Writing is thinking
Spending time on the writing process teaches you more about your topic. If you circumvent this process, you will walk away with a poorer understanding of the subject matter.
3. More time should be spent writing a document than consuming it
If you generate a document from a short prompt then ask your readers to go through the longer output, you are disrespecting their time. They can talk to ChatGPT themselves if they want to.
4. Longer is not better
AI makes it easy to generate long docs, and it loves padding them with sentences that say nothing. If you're producing docs from a short prompt, consider just sharing the prompt.
You can read (and borrow) the full policy below. Hopefully we all communicate a bit more clearly now :)
Timo Heuer retweeted
How are prices determined? While I slept, Claude made me "History of economic thought since Aristotle." I asked it to use my favourite textbook (Blaug, Economic Theory in retrospect). The result will astonish of you. Even top economists here will learn something, I promise.
🚨 META JUST UNVEILED THE VR GLASSES
100 grams on your face - about the weight of a deck of cards. Meta says it has “the best display system that we have ever made,” and people in the demo were literally saying “it is like a computer” and “you could edit a whole movie just using the table.”
As Mark explained this is cinema, computer, and a game console all in one, with 3D space, virtual screens, hand occlusion, and DisplayPort over USB-C.
James Cameron’s reaction is probably the best quote in the whole segment “I’m inspired by what you’ve created. I’d like to see my work in these glasses.”
I am completely one shotted these look amazing!
Timo Heuer retweeted
This is exactly what I’ve been waiting for 🔥
Meta just announced its new VR Glasses. Basically an Apple Vision Pro-like experience, but MUCH smaller and lighter.
• Only 100g
• Micro-OLED displays
• Snapdragon Reality Elite
• Eye + hand tracking
• External compute/battery puck
• $1,299
This is the direction I want VR to go. Smaller, lighter, more comfortable, while keeping the full spatial computing experience.
Launching Spring 2027. I’m getting these 100% 🙌
🇪🇺🇪🇺🇪🇺
BREAKING: In a major shift, the European Union has officially proposed making Canada the bloc’s first-ever “associate member.”
Details include:
1. European Commission President von der Leyen said Europe needs to "tighten its cooperation with like-minded democracies"
2. von der Leyen also says this would retain the continent’s sovereignty and tackle threats from “an openly hostile world”
3. The move comes just days after President Trump imposed 50% tariffs on $20 billion worth of Canadian goods
4. Canada's Prime Minister Carney has confirmed that there are also discussions on certain types of mutual visa-free travel and work arrangements
The trade war and AI are redefining global power dynamics.
Timo Heuer retweeted
President George W. Bush standing at Ground Zero in New York City following the September 11 Attacks. “I can hear you.”
Timo Heuer retweeted
This is, by far, the greatest moment of presidential oratory that has ever happened in my lifetime. The fact that it was largely off-the-cuff is incredible.
Still gives me chills & brings a tear to my eye 25 years later. God bless America.
Timo Heuer retweeted
OpenAI confirmed to the New York Times that they have made "substantial progress" on another Millennium Prize problem in the last five days, and are preparing to announce.
The rumors for the last 48 hours have been OpenAI solved the Hodge Conjecture, and that Anthropic has solved the Birch and Swinnerton-Dyer Conjecture. Since Navier-Stokes rumors abound, so I was reluctant to post about either. However, OpenAI's statement to the NYT now gives the Hodge rumors some very serious support.
In general people have not updated yet that the new unnamed OpenAI model, the one that finished training about two weeks ago, which I believe will be named Aeon, is massively better at math than Astra, which two weeks ago was the best in the world. Aeon solved Navier-Stokes in 88 hours, start to finish. Follow the trend line. That means everything is on the table. Literally everything. And this does not end with math. Please update. We are taking off.































