Ørjan Skårnes

Full-stack developer, owner of a Model 3, all about being on the right side of change.

[Ørjan Skårnes @RSkrnes]

Nå har Tesla lagt inn FSD (Full selv kjøring) på nettsidene sine for flere land i Europa 🇪🇺 - også Norge er en av de, tror vi at en lansering er rett rundt hjørnet?

https://t.co/dQ8bshntZb

[bubble boi @bubbleboi]

I am turning MAX BULLISH right now. Just like a river boat gambler holding his last chips I’m looking at the landscape and thinking fuck man we are in the fast take off stage right now.

I want to put it all max levered long on the high beta names and walk off into the orange glow of the sun. My bullishness has absolutely nothing to do with the math problems that are being solved most of them don’t matter that much.

But it’s more the realization that every AI lab just had. They all woke up and said wait a minute what are we doing selling $200 a month subscriptions to idiots who are making slop apps and nonsense substack articles when we can just subsidize a few super geniuses by giving them real compute to work on an important problem.

No one really cares about navier stokes besides some CFD simulation cycles. But what if we put these compute resources on real valuable problems? That opens up a whole new world. The bull case for AI has always been to me discovering new drugs or even verifying they work/don’t work reliably… I was thinking way way wayyyy too small.

There are hundreds of problems in engineering that if you got the experts in the room with real compute and even if they made a marginal improvement it would be worth hundreds of billions to the economy. Imagine we can build a steep slope device at 0.3V that’s worth like several generations of lithography nodes, or we can design a sub 100 femtojoul/bit optical IO and cut datacenter power by 40%, or even something as simple as more energy efficient molecular separation to replace distillation which is like 15% of all industrial energy use.

This is the real shit guys. The labs are realizing quickly this is the REAL frontier this is the final land grab. Open source can never compete here because they don’t have the capital and resources this plays right into the labs hands. They can’t give everyone a 10,000 agent swarm but they definitely can give it to Exxon mobile and charge them $50M dollars for it if it means they find more oil or Dow Chemical to create a new kind of super glue or to Moderna to computationally create different mRNA therapies… the list goes on and on.

A big reason why I never cared much for AI is despite all the normies going googoo Gaga over it is that literally they don’t have any clue what to do with it. Like if you were mediocre before AI you are mediocre after it, nothing changed u just got more skills that you don’t know how to use and you have no imagination or intuition. It’s the same reason why education is a waste on the majority of the population because let’s be real most of you aren’t going to be deriving differential equations or using epistemological concepts on your day job.

But you give this kinda compute and unfettered AI in the hands of people who are world class. They will cook. It’s the reason why Deepmind has a Nobel prize and no other lab does because deepmind actually hired or worked with the top biochemists and biophysicists to develop alphafold.

AI alone isn’t going to discover anything. Don’t fool yourself and grow up already if you still think AI is going to just figure out large scale nuclear fusion on its own then you are simply lost in the sauce at this point and are beyond saving. The pragmatic answer has always been use the AI to automate the busy work and keep the human experts for the actually thoughtfulness and intuition.

I think the AI labs will wake up now and realize selling coding tokens and image models to normies to make Disney characters isn’t the best business in the long run. Actually using the compute for real serious innovation is and it’s really easy to monetize this upfront.

I expect AI labs to stop looking like API companies and start looking like real research labs now. Thank god.

[Marcos Milla @MarcosMillaYT]

ELON MUSK BOUGHT $6.69 BILLION WORTH OF TESLA $TSLA ...

According to the latest insider transaction data, Elon Musk acquired 286.4 MILLION shares of Tesla on June 17th, valued at approximately $6.69 BILLION.

[Tesla Europe, Middle East & Africa @teslaeurope]

An update on FSD Supervised in Europe

FSD is currently approved in five EU countries (NL, DK, BE, EE, LT), used by >70k customers for over 1 million km per day, and is 4.1x less likely to get into a crash compared to manual driving, measured across 100 million km on public EU roads.

Leading up to a potential EU-wide approval vote for FSD Supervised on October 6th, 2026, we have decided to open-source one of the key pieces of evidence used to support the Netherlands approval.

As a reminder, we adjusted the FSD design to be compliant with existing regulation (UN-R-171 DCAS) but requested an exemption for certain behaviors via the EU Article 39 procedure. The following dashboard is evidence of safety for those exemptions.

This exact dashboard was shared with all EU Member States in April 2026, shortly after RDW’s approval, and all data presented is from before that date.

https://t.co/hh2dAKi8oP

European countries recorded 19,400 road deaths in 2025. That's around 53 deaths/day, with the vast majority of these crashes attributed to human error. These deaths are largely preventable with technology we have today.

FSD Supervised is already saving lives where it’s approved – yet in much of Europe, that safety benefit remains locked behind bureaucracy.

[Tesla Europe, Middle East & Africa @teslaeurope]

FSD Supervised has been trained & tested on 2.2 million km across 19 EU countries, handling edge cases most people wouldn’t see in their lifetime

[Sawyer Merritt @SawyerMerritt]

Tesla registrations were up 86% in France in July (second best July ever) and ​52% in Denmark from July 2025, according to new data.

Tesla appears ​to be prioritizing incentive-rich markets such as France and Germany, where volumes could rise ​sharply in the second half of 2026, said Matthias Schmidt, European auto market ‌analyst ⁠at Schmidt Automotive, adding that weaker sales elsewhere (Sweden, Norway, Spain) could be reflecting that.

[Ørjan Skårnes @RSkrnes]

Enig med deg at det er tullete å gå imot trenden og mene at dataen Tesla har og har presentert ikke er god nok, når de samler ekstreme mengder data hver gang i landene der det er lovlig.

Hvorfor i alle dager skal vi vente, når det finnes mange trafikanter som knapt forstår trafikkregler?

Her går vi glipp av teknologi som kan gjøre det enklere for eldre å komme seg ut av husene sine. Nei, jeg mangler ord....

[Ørjan Skårnes @RSkrnes]

@ekonomigurun_ Tegnet 20 men endte opp med 2 hos Nordnet

[Tesla Europe, Middle East & Africa @teslaeurope]

FSD Supervised now approved in Denmark 🇩🇰

Rollout will begin soon

[Steven Peeters @aikisteve]

This was one of the most striking situations @pvandamcom and I encountered during our drive on @Tesla FSD Supervised. The car was waiting patiently at the right spots, but then it saw and read the intention of other cars hundreds of meters away to then decide whether to stop of continue on this very narrow road. Simply amazing! 😍 @teslaeurope @TeslaOwnersNL @KRoelandschap @teslaownersSV @SawyerMerritt @wholemars @elonmusk

[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

[Ørjan Skårnes @RSkrnes]

@NikTek Why does this guy look like Lex Friedman? Trained on his podcast?

[Ørjan Skårnes @RSkrnes]

@jeffgrimes9 Love the updates and improvements to Perplexity Finance! As a longtime user, this is one of the best parts of Perplexity imo.

Any plans to add multiple watchlists? For example, I’d love to create an “AI” list, a “Health” list, etc.

[Matt Shumer @mattshumer_]

https://t.co/ivXRKXJvQg

[Itamar Golan 🤓 @ItakGol]

Set up clawdbot to text my wife good morning and good night every day. Also casual “how are you” messages during the workday.

24 hours later, it was having full-on conversations without me even being involved.

This tech is absolutely insane.

I haven’t talked to my wife for at least two days now, and she seems happier than ever.

[Z.ai @Zai_org]

We’re officially public. (HKEX: 02513)

To everyone who has supported GLM, built with it, tested it, or simply followed along. Thank you.❤️
This moment belongs to our community as much as it belongs to us.

To celebrate, we’re opening a 48-hour community challenge.❤️‍🔥❤️‍🔥❤️‍🔥

48 hours. A few ways to join!
💬 Comment challenge
Every 12 hours, we’ll select the top 25 comments by likes. Each will receive $50 in credits.

🔁 Repost challenge
Every 24 hours, we’ll select the top 13 reposts by likes. Each will receive $200 in credits.

⭐ Editor’s picks
Some of the most interesting ideas don’t always get the most likes. We’ll be reading closely and highlighting thoughtful, original developer posts.

If your post is selected, Lou @louszbd will reach out personally with an exclusive developer gift pack.🎁

We’ll wrap up in 48 hours. All rewards will be sent within 72 hours after the challenge ends.

Let’s celebrate! 🎉
👉https://t.co/n5FbqerBd1

[X Freeze @XFreeze]

Tesla Energy is now the largest energy storage provider in the world

~46.7 GWh deployed in 2025 alone, powered by Megafactories in Lathrop and Shanghai

From ~4 GWh in 2021 to ~47 GWh in 2025
Nearly 12× growth in four years

Tesla now holds ~15–20% of global grid-scale battery storage

That’s enough energy to power Las Vegas for about 5 days straight

Grid-scale storage is scaling fast
TW-scale energy storage is getting closer to reality

[Andrej Karpathy @karpathy]

I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year and a failure to claim the boost feels decidedly like skill issue. There's a new programmable layer of abstraction to master (in addition to the usual layers below) involving agents, subagents, their prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations, and a need to build an all-encompassing mental model for strengths and pitfalls of fundamentally stochastic, fallible, unintelligible and changing entities suddenly intermingled with what used to be good old fashioned engineering. Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it, while the resulting magnitude 9 earthquake is rocking the profession. Roll up your sleeves to not fall behind.

[Ørjan Skårnes @RSkrnes]

@ProblemSniper Do you think this will matter to Adobe unless they implement the technology themselves?

https://t.co/R4vfPo0pNr

[Qwen @Alibaba_Qwen]

🎨 Qwen-Image-Layered is LIVE — native image decomposition, fully open-sourced!

✨ Why it stands out
✅ Photoshop-grade layering
Physically isolated RGBA layers with true native editability
✅ Prompt-controlled structure
Explicitly specify 3–10 layers — from coarse layouts to fine-grained details
✅ Infinite decomposition
Keep drilling down: layers within layers, to any depth of detail

🤗 Hugging Face: https://t.co/WnXVNJigCg
🧩 ModelScope: https://t.co/2k0ClUS2ON
💻 GitHub: https://t.co/X4jB5APtP7
📝 Blog: https://t.co/TfySatdOwU
📄 Technical Report: https://t.co/3UtxVyGv5u
🚀 Demo (HF): https://t.co/YL0XOiDAIq
🚀 Demo (ModelScope): https://t.co/KJxca978AX

[Qwen @Alibaba_Qwen]

🎨 Qwen-Image-Layered is LIVE — native image decomposition, fully open-sourced!

✨ Why it stands out
✅ Photoshop-grade layering
Physically isolated RGBA layers with true native editability
✅ Prompt-controlled structure
Explicitly specify 3–10 layers — from coarse layouts to fine-grained details
✅ Infinite decomposition
Keep drilling down: layers within layers, to any depth of detail

🤗 Hugging Face: https://t.co/WnXVNJigCg
🧩 ModelScope: https://t.co/2k0ClUS2ON
💻 GitHub: https://t.co/X4jB5APtP7
📝 Blog: https://t.co/TfySatdOwU
📄 Technical Report: https://t.co/3UtxVyGv5u
🚀 Demo (HF): https://t.co/YL0XOiDAIq
🚀 Demo (ModelScope): https://t.co/KJxca978AX

[Josh Elman @joshelman]

One of the best explainers of how LLMs work overall that I have read - and it explains KV caching too https://t.co/hukHsZUcEb