building
London, England
Joined December 2020
- Tweets267
- Following275
- Followers1.4K
- Likes12.5K
Oliver Ulvebne retweeted
Norway has now beat the Canadians at hockey, the Russians at chess, Brazil at soccer and the world at anything that involves skiing.
Oliver Ulvebne retweeted
50,000 pounds!!! That’s how much we have contracted in LOIs and cash in the bank for insurtech and actual offices using GermanShepard to get better quotes, saving their costs and also keeping their own buildings safe. Chat we went out into the buildings of London at 11pm on Friday btw, came up with this idea and we’ve already crossed LOI value on our own startups. Don’t underestimate the AME Mafia.
#londonmaxxing #popthebubble
Oliver Ulvebne retweeted
It’s been a great journey and we wrapped up AME cohort 12 yesterday. I thanked last years director for rejecting me because I was lucky enough to be in the cohort led by @therealoliulv . This guy really changed the game for everyone and the cohort collectively couldn’t be more grateful to have him lead us. Thank you so much mate and can’t wait to see what you do next!
Oliver Ulvebne retweeted
wanted to do a shoutout for some builders, designers and founders i think are worth connecting with:
@aaronmahlke
@tomhaerter
@hugorcd
@zzzzshawn
@grimcodes
@verycracked
@pizzaboy
@therealoliulv
@aminegrows
@siyabuilt
@dominikkoch
@jonahseguin
@barre_of_lube
@artfreebrey
@GeorgeJeffersn
@madster
@chribjel
@initjean
@a_rebets
in no particular order and sorry if i missed you off ly all. post inspired by @sandislonjsak
Oliver Ulvebne retweeted
I love how heavily @SpaceX leaned into photography in their S-1. The first 15 pages are all pictures, many of which have no explanation at all.
It just makes you... feel.
Oliver Ulvebne retweeted
This is awesome - I know you’re all crazy busy - our team won the London XAI hackathon and the prize was to be a visit to starbase to see this launch but we haven’t yet heard anything about arrangements - could you help us out?
Oliver Ulvebne retweeted
At MicroAGI we’re building a global robotics business in the heart of Europe
“Europe was late to consumer internet. Europe was late to cloud. Europe was late to the foundation-model wave. But Europe is not late to robotics.”
JUST IN: microagi is opening its Global Robotics Research HQ on Bahnhofstrasse in Zürich, and choosing it over San Francisco.
Eight months ago @microagi was five people in a Munich hacker house. Today they operate in 15+ countries.
The reasoning behind Zürich is compelling:
→ Highest density of robotics talent in the world, ETH Zürich, EPFL, University of Zürich, IBM Research, Google, NVIDIA, Meta, Apple and Microsoft all run serious ML and robotics teams here
→ ABB, one of the most important industrial automation companies on earth, is headquartered in the city itself
→ Within a 6-hour radius: German automotive, Italian manufacturing, French aerospace, Benelux logistics and Swiss machine tools
But the line that stuck with me most:
"Europe was late to consumer internet. Europe was late to cloud. Europe was late to the foundation-model wave. But Europe is not late to robotics."
That is exactly right. The industrial base that physical AI sits on top of has been in Europe for 150 years. Precision mechanics. Machine-tool culture. Safety-critical engineering. Automation-grade manufacturing.
The next decade of AI value will be created where bits meet atoms. And Europe is finally in the right position at the right moment.
microagi gets it. And they're planting their flag right in the heart of it. 🇨🇭🇪🇺
@bercankilic, @YoanIlievX, @ZenoInMotion, @notgiannei LFG! 🔥
~~
♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
Oliver Ulvebne retweeted
I'm 5 minutes into the SpaceX Test like you Fly Documentary on starship and I have taken 100 screenshots already!
The production value is just as good as the commentary. SpaceX you are all legends!
Can’t wait for Flight 12
Oliver Ulvebne retweeted
What gets missed with AI productivity gains is that by and large, most roles will continue to be as sophisticated as the tools allow.
This is why also thinking through “today’s jobs will be replaced with AI” is a fallacy. Everyone thinks the market is static, but it’s not.
As a result of everyone having access to the same technology which augments our work, then users of the tools will increasingly raise their level of output to the point where the prior definition of the job is no longer relevant. Thus, those that understand their particular field and grow in their skills will continue to be differentiated vs. others.
If you can do far more, then you start to tackle bigger and harder problems. If you do that, then the expertise still is required to get the job done fully.
The engineer with AI is going to be far more productive and capable with AI than the non-engineer trying to build the same piece of software. Building a lightweight app is no longer the definition of getting by in software development. Reviewing a contract will no longer be the definition of a paralegal. Splicing a video won’t be the definition of a video editor. Providing basic financial research won’t be the job of the financial analyst in the future.
Simply put, AI will naturally cause most roles to actually grow in complexity rather than reduce in complexity, because we can do far more with the tools.
Oliver Ulvebne retweeted
Hackerhouse, 6 figure compensation, equity, relocation and visa help, unlimited tokens, coffee and fun :)
Oh, also, I will pay you 10k$ if you find me a Founding eng
@Sparklesdotdev /careers
This is type of content by @Replit @amasad is so awesome! I could watch this for hours.
youtube.com/watch?v=zB1lpGNW…
Oliver Ulvebne retweeted
Presenting Meridian: a line to connect deterministic compute and language model AI.
From Neural Turing Machines and Differentiable Transformers to The Neural Computer, there’s a rich history of trying to combine traditional deterministic computation with the wildly different architecture of Artificial Intelligence.
I’ve spent the last 4 weeks creating a single neural network that has the combined capabilities of a 4B param language model and a deterministic computation engine based on Web Assembly. It allows the AI deterministic integer computations up to 2^32, control flow (while loops and if statements) and a basic filesystem - all implemented as part of the transformer neural network, no external tool calls.
With this architecture adding fewer than 1 million parameters to an existing 4B param language model I can take it from <20% accuracy on arithmetic with 4-digit numbers to 100% accuracy on 4 digit numbers and 99% accuracy on arithmetic up to 2^32 without adversely affecting the language model’s performance on non-mathematical tasks.
The combined model can precisely execute a range of algorithms including checking number for primeness, finding the GCD of two integers and sorting arrays.
