
co-founder @zerofynet. Formerly @mapillary / Meta, Apple, Qualcomm, kooaba, ETH Zürich. History in CV and ML. EV/renewable enthusiast. Father of two.
Zurich, Switzerland
Joined February 2009
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Till retweeted
"What is Autopilot actually doing right now?"
Our rebuilt Autopilot answers that better than ever: a screen per device, live status, and a 15-min plan next to prices and solar forecast.
Rolling out now 👇
zerofy.net/2026/10/18/new-au…
Till retweeted
Semi is coming to Europe
– Up to 550km of range at 40T (fully loaded)
– 1 kWh/km energy consumption
– Megacharger at up to 800 kW recovers ~60% of range in 30 minutes
– ePTO up to 25kW
– 40T gross combination weight, 9,100kg curb weight
tesla.com/de_de/semi
Till retweeted
one of the strangest things about moving from new york to sf was realizing how often extremely important things happen here in settings that don't feel important at all
i lived in new york for four years. i sometimes spent entire days moving icons around in powerpoint, but i was doing it in a skyscraper with great views, surrounded by attractive people in patagonia vests. afterward i'd walk onto a packed street and go to a beautiful restaurant
even when the work itself was mundane, everything around it told you it mattered
sf is almost the opposite
the blue bottle in south park feels like a normal coffee shop. it is also a place where an absurd amount of capital gets allocated
sand hill road is one of the most powerful financial centers in the world and looks like a collection of dentist offices
you'll meet someone dressed like they just rolled out of bed who can't make eye contact and discover later that they control billions of dollars or have built a product you use every day
i've been to parties where almost everyone had raised millions of dollars or built products used by millions of people. in another city, each person would have seemed like a big deal. in sf, they were just standing around a cramped apartment at a "party" that honestly wasn't even that good
i used to live in a closet in a slightly dilapidated hacker house with creaky floors and old furniture. people who lived there went on to create companies worth tens of billions of dollars
new york puts a lot of effort into making importance visible. sf often seems actively uninterested in doing that
some of this is probably because sf is more focused on creation than consumption. some of it is the personality of builders, who often care much more about the thing they're making than the room they're making it in
but i think the lack of polish also lowers the barrier to entry. you don't need to look important before doing something important here
new york makes ordinary work feel important
sf makes important work feel ordinary
Till retweeted
Jahrzehntealter Systemfehler korrigiert: Unternehmer:innen zahlten ALV-Beiträge – gingen im Ernstfall aber leer aus. Nicht mehr. Ich habe mehrere Vorstösse dazu eingereicht, nun ist eine Lösung da. Langer Atem lohnt sich. 💪 👉 organisator.ch/de/management…
🚨 Tesla Model Y just proved bigger can be WAY more efficient. ⚡
Dutch car mag AutoWeek ran a real-world efficiency showdown: the hefty Tesla Model Y sipped just 14.0 kWh/100 km, beating the much smaller & lighter Fiat Grande Panda EV (20.4 kWh/100 km) by nearly 50% 🔥⚡️
Half a ton heavier, yet dramatically more frugal. Thanks to Tesla’s slippery aero (0.22 Cd), genius software, and electric motor mastery.
EV efficiency just got a major reality check. 🔥
Read the full test here:
autoweek.nl/autotests/artike…
@Tesla @elonmusk
#Tesla #ModelY #EV #Efficiency #FiatGrandePanda #AutoWeek
Till retweeted
there's another reason to study the ETH and EPFL models closely 🇨🇭
both universities are also European leaders in spawning startups
Solar will utterly dominate future electricity production
Till retweeted
I used to be able to claim that tech billionaires didn't actually do this — that they just wanted to refine their gadgets. But unfortunately in the current administration we've seen all three.
Till retweeted
Year end product updates zerofy.net/2025/12/18/zerofy…
Till retweeted
Replying to @JessePeltan
Exactly.
Many years ago, I said that non-autonomous combustion vehicles would be like riding a horse while using a flip phone, but you can’t cram a good idea down the throat of legacy industries. They just insist on dying.
Till retweeted
I took delivery of a beautiful new shiny HW4 Tesla Model X today, so I immediately took it out for an FSD test drive, a bit like I used to do almost daily for 5 years. Basically... I'm amazed - it drives really, really well, smooth, confident, noticeably better than what I'm used to on HW3 (my previous car) and eons ahead of the version I remember driving up highway 280 on my first day at Tesla ~9 years ago, where I had to intervene every time the road mildly curved or sloped. (note this is v13, my car hasn't been offered the latest v14 yet)
On the highway, I felt like a passenger in some super high tech Maglev train pod - the car is locked in the center of the lane while I'm looking out from Model X's higher vantage point and its panoramic front window, listening to the (incredible) sound system, or chatting with Grok. On city streets, the car casually handled a number of tricky scenarios that I remember losing sleep over just a few years ago. It negotiated incoming cars in tight lanes, it gracefully went around construction and temporarily in-lane stationary cars, it correctly timed tricky left turns with incoming traffic from both sides, it gracefully gave way to the car that went out of order in the 4-way stop sign, it found a way to squeeze into a bumper to bumper traffic to make its turn, it overtook the bus that was loading passengers but still stopped for the stop sign that was blocked by the bus, and at the end of the route it circled around a parking lot, found a spot and... parked. Basically a flawless drive.
For context, I'm used to going out for a brief test drive around the neighborhood to return with 20 clips of things that could be improved. It's new for me to do just that and exactly like I used to, but come back with nothing. Perfect drive, no notes. I expect there's still more work for the team in the long march of 9s, but it's just so cool to see that we're beyond finding issues on any individual ~1 hour drive around the neighborhood, you actually have to go to the fleet and mine them. Back then, I processed the incredible promise of vehicle autonomy at scale (in the fully scaleable, vision only, end-to-end Tesla way) only intellectually, but now it is possible to feel it intuitively too if you just go out for a drive. Wait, of course surround video stream at 60Hz processed by a fully dedicated "driving brain" neural net will work, and it will be so much better and safer than a human driver. Did anyone else think otherwise?
I also watched @aelluswamy 's new ICCV25 talk last week (xitter.cf/aelluswamy/status/1981…) that hints at some of the recent under the hood technical components driving this progress. Sensor streams (videos, maps, kinematics, audio, ...) over long contexts (e.g. ~30 seconds) go into a big neural net, steering/acceleration comes out, optionally with visualization auxiliary data. This is the dream of the complete Software 1.0 -> Software 2.0 re-write that scales fully with data streaming from millions of cars in the fleet and the compute capacity of your chip, not some engineer's clever new DoubleParkedCarHandler C++ abstraction with undefined test-time characteristics of memory and runtime. There's a lot more hints in the video on where things are going with the emerging "robotics+AI at scale stack". World reconstructors, world simulators "dreaming" dynamics, RL, all of these components general, foundational, neural net based, how the car is really just one kind of robot... are people getting this yet?
Huge congrats to the team - you're building magic objects of the future, you rock! And I love my car <3.
Till retweeted
I'm writing a book right now, and one thesis in it is that, as we move to a system dominated by solar, wind, and batteries (not planned and zero marginal costs), centralized day-ahead planning becomes counterproductive. Instead we should facilitate real time control. Thoughts?
Till retweeted
🥳 Today we're excited to officially launch LightlyTrain — a self-supervised pretraining framework that helps you build better vision models without any labels.
Try it Free: lnkd.in/en78gQiC
Read more: lnkd.in/e5yvuSKG
Star us on Github: lnkd.in/eEXfTqr8

























