Daniel Furrer

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Daniel Furrer

Daniel Furrer

@assimil8or

Software Engineer, Tech Lead Manager @Google Core ML. Father of 4. https://t.co/EpRUyium0o

Groningen Katılım Mayıs 2008
322 Takip Edilen138 Takipçiler
Daniel Furrer retweetledi
koray kavukcuoglu
koray kavukcuoglu@koraykv·
Incredibly proud to see Alphabet recognized in the 2026 @TIME 100 Most Influential Companies! Huge congratulations to all the teams across @Google working hard to turn AI breakthroughs into everyday reality for our users! ✨ #TIME100Companies
News from Google@NewsFromGoogle

“In 2016, [@SundarPichai] had declared Google would be an “AI-first company,” and began cultivating a series of projects—custom chips, Cloud, YouTube, and deep AI research—that seemed to have nothing to do with Google’s core search product. All of these bets have paid off, and then some.” — @TIME in their new #TIME100Companies cover story on Alphabet and AI → time.com/collection/tim… 📷: Daniel Dorsa

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Tim Salimans
Tim Salimans@TimSalimans·
Touching down now in SF for onboarding at Anthropic! After 7 great years at Google, I'm excited to take on a new challenge and help make Claude even better. Grateful for everything I learned at Google DeepMind and Brain, looking forward to what's next.
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Daniel Furrer
Daniel Furrer@assimil8or·
@giffmana This gives the saying "you are a tool" a whole new twist
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Lucas Beyer (bl16)
Lucas Beyer (bl16)@giffmana·
I had a funny/cute back-and-forth with Claude last week at work, where I had two trainings running, and one was much slower then the other, but there was no good reason for it. So I asked claude for help, but claude could not access either system, so I let Claude use me as a tool, it told me what commands to run on both systems, and I gave it the command's outputs. It went something like this: C: Aha! I found the issue, it is [blabla] Me: What can I run on both systems to conclusively confirm or deny this hypothesis? C: run [commands] Me: here's the output of [commands]: [outputs] C: This changes everything! Now the picture is crystal clear! The real issue is [blabla] Me: What can I run on both systems to conclusively confirm or deny this hypothesis? C: run [commands] Me: here's the output of [commands]: [outputs] C: These results are enlightening! I was completely wrong, but now I am certain the issue is [blabla] Me: What can I run on both systems to conclusively confirm or deny this hypothesis? C: run [commands] Me: here's the output of [commands]: [outputs] C: Wow! Thank you! These results are extremely helpful. I was wrong. But also, now everything is clear! The issue is [blabla] and so on and so on lol it was pretty endearing, if it wasn't a friday afternoon blocking me from running the big weekend run😅
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Olivier Bousquet
Olivier Bousquet@obousquet·
I am excited to share that I have started a new adventure at @MistralAI, a leading frontier lab, where I am working on pushing further the agentic reasoning capabilities of LLMs.
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Daniel Furrer retweetledi
François Chollet
François Chollet@fchollet·
I gained a lot of respect for Dario for being principled on the issues of mass surveillance and autonomous killbots. Principled leaders are rare these days
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Bojan Tunguz
Bojan Tunguz@tunguz·
Engagement farming.
Bojan Tunguz tweet media
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Jeff Dean
Jeff Dean@JeffDean·
This is simultaneously a tremendous achievement (one light day is really far!) and a sobering realization that the universe is an incredibly vast place. In 50 years, Voyager has traveled ~1/1500th of the distance to the nearest star (Alpha Centauri, ~4.27 light years away).
Nature is Amazing ☘️@AMAZlNGNATURE

Voyager 1 Is About to Reach One Light-day from Earth After nearly 50 years in space, NASA’s Voyager 1 is about to hit a historic milestone. By November 15, 2026, it will be 16.1 billion miles (25.9 billion km) away, meaning a radio signal will take a full 24 hours, a full light-day to reach it.

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Daniel Furrer
Daniel Furrer@assimil8or·
@teslaeurope @RDWnl There are around 120'000 Tesla cars in the Netherlands driving around 20'000km (12'000miles) per year each, so 1.5 billion miles per year total. Holding back FSD (supervised) is likely the reason for several 100 collisions per year in NL alone. How do you justify this?
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Tesla Europe, Middle East & Africa
Tesla has been working hard toward shipping Full Self-Driving (Supervised) in Europe for over 12 months now. We have given FSD demos to regulators of almost every EU country. We have requested early access, pilot release programs or exemptions where possible. We have developed & shared detailed safety evidence for FSD, now public in our latest Safety Report. And we have driven over 1 million kilometers safely on EU roads across 17 different countries (internal testing).  Our main path to success is partnering with the Dutch approval authority RDW to gain exemption for the feature. This involves proving compliance with existing regulations (UN-R-171 DCAS) + filing an exemption (EU Article 39) for yet-to-be-regulated behaviors like Level 2 systems off-highway, system-initiated lane changes with hands-off the wheel etc.  Some of these regulations are outdated and rules-based, which makes FSD illegal in its current form. Changing FSD to be compliant with these rules would make it unsafe and unusable in many cases. While we have changed FSD to be maximally compliant where it is logical and reasonable, we won't sacrifice the safety of a proven system or materially deteriorate customer usability.  As a result, we are gathering evidence to get exemptions on a specific rule-by-rule basis. Unfortunately, the real world fleet-proven safety wins alone are considered insufficient.  Currently, RDW has committed to granting Netherlands National approval in February 2026. Please contact them via link below to express your excitement & thank them for making this happen as soon as possible. Upon NL National approval, other EU countries can immediately recognize the exemption and also allow rollout within their country. Then we will bring it to a TCMV vote for official EU-wide approval.  We're excited to bring FSD to our owners in Europe soon! rdw.nl/en/contact/our…
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Daniel Furrer
Daniel Furrer@assimil8or·
Hiring experienced software engineers. ML infrastructure in London + Quantum sensing in the Netherlands. DM me if you're interested.
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Daniel Furrer
Daniel Furrer@assimil8or·
@aakashgupta You make it sound like the guy had a grand 25 year master plan to maximize his earnings. But it's the other way around: Do useful things and opportunities will come your way.
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Aakash Gupta
Aakash Gupta@aakashgupta·
Let me explain exactly why VLC is free despite 6B downloads, because no one seems to get it. VLC doesn’t make money because making money would destroy the only thing that made it reach 6 billion downloads in the first place. The player grew through a specific distribution loop: tech-savvy users install it once, it works perfectly on every weird video file they throw at it, and they recommend it to everyone forever. IT departments deploy it across entire companies. A Reddit comment from 2009 still drives downloads in 2025 because the answer never changed. That recommendation engine dies the second ads appear. Not slowly. Immediately. The users who drive VLC’s distribution are the exact people who understand what ads mean. Your incentives just switched from “make the best player” to “maximize impressions.” They see it, stop recommending it, and your growth engine shuts off. Run the actual numbers. VLC gets maybe 50 million active users daily across 6 billion total downloads. Typical video player ad rates run $1-3 CPM. Even if you served ads on every playback session, you’re looking at maybe $50-150 million annually at absolute peak optimistic assumptions. Sounds like a lot until you realize what Kempf actually traded it for. VLC reaching 6 billion people made Kempf the person who built the infrastructure everyone depends on. He runs a video consulting business. He built dav1d, an AV1 codec that powers modern streaming. Being “the guy who kept VLC free” opens every door in video technology. Clients pay him to solve problems because he proved he optimizes for quality over quick monetization. “Former ad-supported media player executive” gets you exactly zero of that leverage. The people celebrating Kempf’s ethics are missing the calculation. He didn’t sacrifice millions for principles. He rejected $150M in highly uncertain ad revenue to build permanent positioning worth multiples of that in everything else he touches. VLC free generates more value for Kempf than VLC monetized ever could. The trade was never even close.
NZ ☄️@CodeByNZ

This man built VLC, turned down stupid money just to keep it ad-free, and still gave it to us for free. Absolute hero.

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Tim Salimans
Tim Salimans@TimSalimans·
Really awesome to see the full potential of real-time generative modeling being realized! Helping to enable this has been a driving goal of our research in efficient generative models for a long time!
Google DeepMind@GoogleDeepMind

What if you could not only watch a generated video, but explore it too? 🌐 Genie 3 is our groundbreaking world model that creates interactive, playable environments from a single text prompt. From photorealistic landscapes to fantasy realms, the possibilities are endless. 🧵

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Daniel Furrer
Daniel Furrer@assimil8or·
@taiyasaki Congrats! Only 12h? ;-) No need to fix the house while he can't even crawl but take some night shifts.
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Andrea Tagliasacchi 🇨🇦
Paternity “leave”… aka now you are working 12h/day, 7/7 on fixing the house for this munchkin (Leonardo) and his sisters! 😅
Andrea Tagliasacchi 🇨🇦 tweet media
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Daniel Furrer
Daniel Furrer@assimil8or·
@teslaeurope As someone who has driven there once, that's actually super impressive. It's basically a huge roundabout with about 4-5 lanes except there are no actual lanes and everyone just weaves in and out organically.
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Tesla Europe, Middle East & Africa
FSD Supervised can handle Arc de Triomphe no problem If there is a bigger roundabout in France, please let us know in the comments 😀 Pending regulatory approval
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Aristotelis Economides
Aristotelis Economides@aristotelis_eco·
Personal news - I joined DeepMind! I will be working on Gemini’s serving infrastructure. Serving AI models at scale is still an open problem. I’m excited to work on it with some of the best engineers and researchers. Google was great. I got to build tools that made researchers move faster, learned how to ship fast, and built a tool from 0 to 1. Time to make those TPUs work harder!
Aristotelis Economides tweet media
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Daniel Furrer retweetledi
Google DeepMind
Google DeepMind@GoogleDeepMind·
Human generated data has fueled incredible AI progress, but what comes next? 📈 On the latest episode of our podcast, @FryRsquared and David Silver, VP of Reinforcement Learning, talk about how we could move from the era of relying on human data to one where AI could learn for itself. Watch now → 00:00 Introduction 01:50 Era of experience 03:45 AlphaZero 10:19 Move 37 15:20 Reinforcement learning and human feedback 24:30 AlphaProof 29:50 Math Olympiads 35:00 Experience based methods 42:56 Hannah's reflections 44:00 Fan Hui joins
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Daniel Furrer
Daniel Furrer@assimil8or·
@aristot_3rd 💯 on what Magnus says. It's optimists that change the world because only if you're very optimistic you even attempt to solve very hard problems and have the will to power through obstacles.
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Aristotelis Economides
Aristotelis Economides@aristotelis_eco·
If you're working hard enough, there's probably no such thing as being too optimistic.
Aristotelis Economides tweet media
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Daniel Furrer
Daniel Furrer@assimil8or·
@Andreas52822549 @Frenck +1. Looking at the documentation it seems I'd have to set up a development environment, create init file, JSON file, yaml file. Then after deploy it somehow? I'd just like to be able to use Python for my automations without that overhead and make edits from my phone.
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Pete
Pete@Andreas52822549·
@Frenck Then a more accessible way to write integrations maybe. Currently there's a pretty high cognitive overhead involved to write an integration, a very inflexible and inefficient way to achieve what I had in mind (replacing existing automations and templates)
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Franck Nijhof | Home Assistant & Smart Home
🚀 𝗖𝗮𝗹𝗹𝗶𝗻𝗴 𝗮𝗹𝗹 𝗛𝗼𝗺𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝘁𝗲𝗺𝗽𝗹𝗮𝘁𝗲 𝘄𝗶𝘇𝗮𝗿𝗱𝘀! 🧙‍♂️ I’m working on extending the template engine with some new functions, filters, and tests, for example: ✅ flatten(list_of_lists) – Flattens nested lists into a single list ✅ combine(dict1, dict2, ...) – Merges multiple dictionaries together Now, I need your input! 💡 🔍 What template functions, filters, or tests would make your automations easier? 💬 What repetitive Jinja gymnastics do you find yourself doing over and over? #HomeAssistant #Jinja #Automation #OpenSource
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