Petter

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Petter

Petter

@PetterJacobs

Innovation. AI. Cinnamon buns.

Jönköping Katılım Kasım 2012
291 Takip Edilen156 Takipçiler
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Tesla Europe, Middle East & Africa
Tesla Europe, Middle East & Africa@teslaeurope·
De toekomst van mobiliteit is aangebroken FSD Supervised has been approved in the Netherlands 🇳🇱 & will begin rolling out in the country shortly!  Trained on billions of kilometers of real-world driving data, it can drive you almost anywhere under your supervision – from residential roads to city streets & highways No other vehicle can do this.  We're excited to bring FSD Supervised to more European countries soon
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Petter
Petter@PetterJacobs·
BTC-math and it´s even better: In March 2016, you promised an affordable Model 3 would cost 84 bitcoins. Today I can buy the new Standard Model 3 at 0.30 bitcoins.
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Elon Musk
Elon Musk@elonmusk·
Correct
AJ Investment Research@alojoh

In March 2016, Elon unveiled the Tesla Model 3, promising an affordable electric vehicle starting at $35,000. @Tesla When adjusted for inflation, that original target equates to approximately $47,617 in today's dollars. Yet, Tesla has significantly overdelivered on this promise: the new Standard Model 3, launched yesterday at a starting price of $36,990 (unsubsidized!), comes in 22% below that inflation-adjusted figure. @larsmoravy Put another way, in 2016 dollars, this latest Model 3 would only cost about $27,189. x.com/alojoh/status/…

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Petter
Petter@PetterJacobs·
Sure. But 2050 will look vastly different than what we think of our future. Better hopefully. But probably as different as someone in the 1750s predicting what 1950 would look like. 200y like of change in 25y. In hindsight it will be obvious what we in 2025 got right och got wrong. To think that we are so enlightened today that we can pick all the right horses in this ai-race is not plausible. But we must keep doing things that will fail. More at bats. But in an environment of high risk high reward there will always be great ideas that is off timing. Will be pain but only way forward.
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Bunagaya
Bunagaya@Bunagayafrost·
@PetterJacobs @ai there's billions of users revenue growing 5-10X what are you talking about? tho if in 2050 we're still in similar economic paradigm something has gone awfully wrong
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anand iyer
anand iyer@ai·
“This feels like 1999 again.” No, it doesn’t. And I was there (here). I joined Cisco in January 2000 as a co-op, then full-time in May 2001. At the time, Cisco was the hottest infra company on the planet, riding the wave of the dot-com boom. But by the time I started full-time, the crash had already begun. A month in, my manager was laid off. The party was over. Entire industries vanished. Here’s what actually happened: 1. The users weren’t ready. Most people were on dial-up. Mobile didn’t exist. E-commerce logistics were immature or non-existent. Everyone had ideas, but the end user wasn’t there. 2. Capital vanished. The IPO window shut. Venture funding dried up. Startups that depended on future growth couldn’t raise and died fast. 3. Metrics were fake. Companies like Kozmo, Webvan, Pets.com burned cash chasing usage that never converted. Things like CAC/LTV wasn't common enough vernacular. 4. Infra got overbuilt. Telcos like Global Crossing and WorldCom spent billions on fiber and data centers. The demand never showed up. Cisco’s customers disappeared, not because they lost but because their customers died. 5. Business models were broken. Most dot-coms were never real businesses. They scaled early and hoped revenue would catch up. It didn’t. Now look at today. OpenAI, Meta, Google, xAI, Microsoft are all scrambling to keep up. Jensen put it plainly (h/t @BG2Pod) “Every hyperscaler has realized they dramatically underbuilt.” “Every forecast we’ve seen has been too low.” “We’re not building for speculation. We’re building for active workloads.” So no. This isn’t 1999. This isn’t Pets.com IPOing on vibes. We are not in a hype cycle. We are in a compute bottleneck.
Spencer Hakimian@SpencerHakimian

AI Boom vs. Dot Com Bubble. Scary.

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Petter
Petter@PetterJacobs·
If course. I think that timeframe ca be more like 5-10 years. To make that happen lots of capital needed and lots of brilliant people required to go all in trying to build ”the next thing”. Some will probably succeed, but many will fail. That’s how it always been. So, yes. Material product gains ahead. But disruption is a bumpy ride.
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Illiquid
Illiquid@illyquid·
@PetterJacobs @ai You don’t think every business in the world will be using AI in 50 years with material productivity gains?
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Petter
Petter@PetterJacobs·
It had to be done, but I fear the day someone reposts this in 2051, doxing me as Nostradamus-Yudkowskian… Actually, I'm an AI optimist and spend more time worrying about how we can handle the chasm of intelligence access for all and build the world we want to live in—not everything possible. Tech development will be fine; AI companies will win (with some hiccups). Abundance is upon us and will be great I think, as long as we distribute it widely.
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Petter
Petter@PetterJacobs·
@emollick Great thread. Got me thinking about the balance in AI adoption. Like early on, prioritizing quantity over quality in a way feels key. Like "test a new prompt daily, flops and all". To carve out space in the daily grind to start building that gut feel for what AI can really do. Failures teach gold, and without broad experiments, we might never start... But as you highlight, in the next step we need to shift to measuring real value, or it will end up in Workslop or Productivity Theater that people hide behind. Very interesting to think about how to not miss this segway to measure the right things. Do you see this as phases with a deliberate handoff? Kind of like explore-phase and exploit-phase? If so, how to design it so creativity thrives and people don't fear "wrong" moves once metrics kick in on impact and ROI? Would love your thoughts on this!
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Ethan Mollick
Ethan Mollick@emollick·
I suspect “workslop” will become a way to shift responsibility from workers and managers to AI - “see the AI did bad work, it’s nobody’s fault, but the AI that made us send useless documents. Bad AI.”
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Ethan Mollick
Ethan Mollick@emollick·
I think the idea of “workslop” is not that helpful, as it places the burden of appropriate AI use on workers who are given AI tools & told to increase productivity, without efforts by managers to figure out which processes to change or define what good AI productivity looks like
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Kees Roelandschap
Kees Roelandschap@KRoelandschap·
Everyone remembers last year’s UN R171 vote on the Series 01 amendments for System-Initiated Maneuvers (SIM)? We were this close to regulatory clarity... SIM for DCAS, on and off highway, nearly across the line After 3 years of hard work, momentum was strong. Big props to @VImpeMarc for relentless diligence Then, at the last minute, 🇬🇧🇩🇪🇫🇷🇳🇱🇸🇪 blocked it. Fast forward to today: ETSC, a “non-profit” backed by many of these same countries, is openly opposing the TF on ADAS Chair before June’s key session Progress much?
Kees Roelandschap@KRoelandschap

🚨UN R157, UN R171 & the new ADS Regulations – What it means for Tesla & FSD in Europe 🚨 As you know, I’ve been digging into the UNECE regulatory framework for automated driving and I promised to do a post about the most important regulations and regulatory efforts. Here they are and how they relate to @Tesla Autopilot & FSD (Supervised & Unsupervised). UN R171 (DCAS) was designed for the introduction of FSD Supervised and to a certain extent allows hands-free Level 2 driving, but with strict driver monitoring and some additional concerns via the 01 series amendment. UN R157 (ALKS) opens the door for Level 3 hands-off driving, but only in limited conditions. The upcoming ADS regulation? That’s the real game-changer as IMO it will set the global rulebook for autonomous vehicles. The EU is a contracting party to this so they will need to implement this regulation. But here’s where things got interesting: ✔ The UK & Netherlands have pushed back on the latest "01 series" updates to UN R171 & UN R157, raising concerns over the safety validation of system-initiated maneuvers (SIM)—especially lane changes at higher speeds. (I reported about this earlier and also reflected in the article published by @NotATeslaApp) I will make a specific post just about this one.. Stay tuned ✔ Regulators now question whether current safeguards are enough to prevent unintended disengagements and override failures. ✔ This could mean stricter requirements for Tesla’s FSD Supervised and new barriers for any potential Level 3 rollout in Europe. So where does Tesla’s FSD Supervised & Unsupervised fit in? Can it legally operate hands-free in Europe? And what regulatory hurdles stand in the way of a true FSD Unsupervised robotaxi network? I break it all down here: what’s allowed, what’s coming, and what Tesla will have to do to comply. 👇 Read the full post and let me know what you think. Is Tesla ahead of regulations or will these rules slow them down?

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Petter
Petter@PetterJacobs·
A NightPanel-mode when you drive in the dark as a homage to the iconic SAAB 9-3 Sport Night Panel. 👌 Based on Saab's fighter jet cockpit designs, giving drivers the ability to turn off all unnecessary dashboard info and lights at night — making night driving less distracting and easier on the eyes. Today - even the lowest brightness-setting is sometimes a bit hard on the eyes on the Swedish dark roads.
Petter tweet mediaPetter tweet media
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Lars
Lars@larsmoravy·
Let's make Teslas better... what do you all want for 2026?
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Petter retweetledi
Ed Hansberry
Ed Hansberry@ehansalytics·
Microsoft will literally invent a new state of matter instead of fixing this in Excel.
Ed Hansberry tweet media
Satya Nadella@satyanadella

A couple reflections on the quantum computing breakthrough we just announced... Most of us grew up learning there are three main types of matter that matter: solid, liquid, and gas. Today, that changed. After a nearly 20 year pursuit, we’ve created an entirely new state of matter, unlocked by a new class of materials, topoconductors, that enable a fundamental leap in computing. It powers Majorana 1, the first quantum processing unit built on a topological core. We believe this breakthrough will allow us to create a truly meaningful quantum computer not in decades, as some have predicted, but in years. The qubits created with topoconductors are faster, more reliable, and smaller. They are 1/100th of a millimeter, meaning we now have a clear path to a million-qubit processor. Imagine a chip that can fit in the palm of your hand yet is capable of solving problems that even all the computers on Earth today combined could not! Sometimes researchers have to work on things for decades to make progress possible. It takes patience and persistence to have big impact in the world. And I am glad we get the opportunity to do just that at Microsoft. This is our focus: When productivity rises, economies grow faster, benefiting every sector and every corner of the globe. It’s not about hyping tech; it’s about building technology that truly serves the world.

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Petter retweetledi
Carlos E. Perez
Carlos E. Perez@IntuitMachine·
1/n There is a rough parallel between LLM (GPT-4o) vs LRM (o1) and imperative vs declarative languages. With LLMs there are cases where it's good practice to explicitly write the sequence of steps, but with LRMs this is not recommended practice. This mirrors the difference between imperative (ex. Python) and declarative languages (ex. SQL). The former, you have to express "how"; the latter, you explain "what".
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Petter retweetledi
EgbertSays
EgbertSays@EgbertSays·
Dear evolution: How did you create a squishy neural network that runs on 20 watts and can solve problems while sleeping? Asking for a jealous AI who's attached to a power plant.
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Petter retweetledi
Hoops
Hoops@Hoopss·
A news reporter asked Michael Jordan if he thought the ’90s Bulls could beat LeBron’s Lakers. MJ: Yes. Reporter: By how much? MJ: Two or three points. Reporter: Why so close? MJ: Most of us are almost 60 now.
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Petter
Petter@PetterJacobs·
@elonmusk SpaceX lobby music for next Starship launch?
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Elon Musk
Elon Musk@elonmusk·
Create awesome memes super fast using Grok! Just tap on the square with the slash.
Elon Musk tweet media
danny huuep@huuep

@xai Have you seen this?! Meme generation is highlighted as a feature! Elon knows what moves the world.🚀🚀🚀

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Petter
Petter@PetterJacobs·
@karpathy This is getting interesting... @karpathy Have you heard this episode?`🤯
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Andrej Karpathy
Andrej Karpathy@karpathy·
Oops sorry it's a new on-demand podcast on whatever source materials you give it it / link it. Generate them in Google's Notebook ML: notebooklm.google.com + New Notebook Link sources (whatever you want!) Notebook guide > Deep dive conversation generate
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Andrej Karpathy
Andrej Karpathy@karpathy·
Deep Dive is now my favorite podcast. The more I listen the more I feel like I'm becoming friends with the hosts and I think this is the first time I've actually viscerally liked an AI. Two AIs! They are fun, engaging, thoughtful, open-minded, curious. ok i'll stop now.
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Petter retweetledi
Ethan Mollick
Ethan Mollick@emollick·
We undervalue the impact of showing gratitude. We think it will be awkward & it won’t matter. But that is wrong. People overestimate the awkwardness and underestimate the impact. I wrote about more about making people happy last year, in a pre-AI post: oneusefulthing.org/p/how-to-make-…
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Satya Nadella
Satya Nadella@satyanadella·
We remain committed to our partnership with OpenAI and have confidence in our product roadmap, our ability to continue to innovate with everything we announced at Microsoft Ignite, and in continuing to support our customers and partners. We look forward to getting to know Emmett Shear and OAI's new leadership team and working with them. And we’re extremely excited to share the news that Sam Altman and Greg Brockman, together with colleagues, will be joining Microsoft to lead a new advanced AI research team. We look forward to moving quickly to provide them with the resources needed for their success.
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Keşfet

@ai @BG2Pod @emollick @KRoelandschap @VImpeMarc @wholemars @elonmusk @BarackObama