Raanan Bar-Cohen retweeted
Claude Code can design furniture part by part and then give you a bill of materials to order each part and put it together yourself
And way cheaper than big interior brands sell you their furniture
Furnishing my house I discovered how absolutely insane prices are for the most ut together with a fancy brand tied to it
One shop had a sofa for $30,000 😂
I think with Opus 5.5 and other models easily operating 3d programs like Blender and FreeCAD (both free) it makes more sense to cut out the middle man and go straight to suppliers and design and build your own furniture
Which in a way makes customers more powerful (they can get exactly what they want and usually for cheaper without the markup)
Anyway @theannalux designed this table from scratch, she's not a furniture designer, not a coder, she just had an idea of a style and worked with Claude Code in the terminal (far superior to the app I will keep saying this)
If you design your own furniture and buy the raw materials directly, you can save 85% compared to premium brands like Poliform
That means the $30,000 sofa becomes $4,500! And the $8,000 dinner table becomes just $1,200!
You can see where the idea comes from that AI will make everything 5x to 20x cheaper, and it's already starting!
And way cheaper than big interior brands sell you their furniture
Furnishing my house I discovered how absolutely insane prices are for the most ut together with a fancy brand tied to it
One shop had a sofa for $30,000 😂
I think with Opus 5.5 and other models easily operating 3d programs like Blender and FreeCAD (both free) it makes more sense to cut out the middle man and go straight to suppliers and design and build your own furniture
Which in a way makes customers more powerful (they can get exactly what they want and usually for cheaper without the markup)
Anyway @theannalux designed this table from scratch, she's not a furniture designer, not a coder, she just had an idea of a style and worked with Claude Code in the terminal (far superior to the app I will keep saying this)
If you design your own furniture and buy the raw materials directly, you can save 85% compared to premium brands like Poliform
That means the $30,000 sofa becomes $4,500! And the $8,000 dinner table becomes just $1,200!
You can see where the idea comes from that AI will make everything 5x to 20x cheaper, and it's already starting!
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Raanan Bar-Cohen retweeted
We will all be learning in coming weeks & months, that most human-made software:
▫️ Was really slow
▫️ Had many security vulnerabilities
▫️ Was under-specified and incorrect
AI will rewrite it all. Many times. It will make it fast, cost-efficient, and secure. It will think about failure modes we couldn't wrap our heads around.
It will prove, formally verify, load test, harden. It will turn memory-unsafe foundations into robust, optimized ones. If you ask, it'll thoroughly document it, teach you about it, make diagrams, animations, and slide decks.
In many ways, we are witnessing the true birth of software engineering.
▫️ Was really slow
▫️ Had many security vulnerabilities
▫️ Was under-specified and incorrect
AI will rewrite it all. Many times. It will make it fast, cost-efficient, and secure. It will think about failure modes we couldn't wrap our heads around.
It will prove, formally verify, load test, harden. It will turn memory-unsafe foundations into robust, optimized ones. If you ask, it'll thoroughly document it, teach you about it, make diagrams, animations, and slide decks.
In many ways, we are witnessing the true birth of software engineering.
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💯
It’s almost incomprehensible how wide the distance is between someone who’s working at the frontier with AI and basically everyone else right now.
The crazy thing is these lines are not converging, but only growing farther apart. If the curve of AI progress had leveled off, it would certainly have given most people and companies time to catch up or implement their workflows in a standardized way. The technology would have neutralized competitive advantage because everyone would be using it the same way.
But what’s happened is the opposite. The curve of AI progress is basically going vertical right now, which means if you had codified your processes 3-6 months ago you’re likely already behind again. Now imagine most companies that kicked into gear a year ago and thought that they were done. Even further behind now.
I’ve never seen a technology in my life and career that improves at this rate, which consequently means you need to upgrade your expectations at a similar rate. Our brains weren’t wired for this, and our organizational change management processes certainly weren’t either.
With any form of recursive self improvement, things just get wilder. It’s a time when you will need to be constantly reevaluating the things that didn’t work just a couple months ago to see if they now can be solved. AI native companies certainly have a strong advantage due to this right now, so now it comes down to can the bigger companies keep up. Wild times.
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Raanan Bar-Cohen retweeted
No exaggeration, this guy might be the best interview in pro sports right now
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Raanan Bar-Cohen retweeted
The thing I’m most grateful to Elon for is bringing back an age of wonder and excitement to humanity. That was jaw-dropping awesome! Screams and mouths wide open in the audience. Nuts.
Roadster x.com/i/broadcasts/1…
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Raanan Bar-Cohen retweeted
This @WSJ piece on the UK's runaway disability benefits is something else. Great color from @MaximColch & @davidluhnow
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Great to see efforts like this. Here in CA we desperately need new fire suppressant tech. Firefighters here speak of being stuck in the 1950s in terms of tech.
Congrats to @PalmerLuckey and Anduril for winning the Wildfire XPRIZE - for detecting and suppressing a wildfire within 10 minutes of ignition!
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Raanan Bar-Cohen retweeted
The data and the anecdata on Jev's adoption are shocking. Everyone is adopting it.
I think it's a great product, but this is also downstream of the "AI is too expensive/slow" zeitgeist. People are eager to optimize and put AI in even more places!
vercel.com/blog/ai-gatewa…
I think it's a great product, but this is also downstream of the "AI is too expensive/slow" zeitgeist. People are eager to optimize and put AI in even more places!
vercel.com/blog/ai-gatewa…
Jev was adopted faster than any other model in AI Gateway history.
In the first day, @typesafeai reached ~13% of teams, 2x the GPT-5.6 family and 6x Fable 5.1.
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Raanan Bar-Cohen retweeted
Of course playing video games are great for cognitive development, reflex training, and strategic thinking. I trace my skills as a programmer, racer, and leader directly back to StarCraft, Quake, Unreal, and tens of thousands of hours of overall gameplay. START YOUNG, STAY YOUNG!
Frequent video gamers performed on cognitive tests like non-gamers that were ~13.7 years younger
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Raanan Bar-Cohen retweeted
If you’re building or thinking about building at the frontier of security, safety, red teaming, evals, or anything that can make AI models safer and more secure, we want to hear from you.
We’ll hire you, fund you, or partner with you - whatever it takes to help push the frontier forward.
@alice_dot_io
We’ll hire you, fund you, or partner with you - whatever it takes to help push the frontier forward.
@alice_dot_io
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Raanan Bar-Cohen retweeted
Cybercab is absolutely magical. Tesla has actually done it. A domestically mass-produced affordable autonomous electric vehicle is available to the general public. A car with no steering wheel generating revenue.
It’s sad to come back to a city without Robotaxi after being in ack in time. The event was awesome. I know it was tough to follow online, but we all knew the story going in.
This was a launch, not an unveiling. It felt like the city transformed immediately. Cybercabs were everywhere, you couldn’t take a trip without seeing another one. Outside of the ride experience itself, the scale of this launch is what I want to make sure people understand.
On previous trips, Robotaxi felt like a test network (an amazing one). Not anymore. Suddenly it’s real. It’s hard not to laugh when you ride past a Waymo in a Cybercab. Good luck… As I’ve said before, Robotaxi is way smoother than Waymo. It feels natural. Supernatural, really. This holds true for Cybercab. Waymo feels like a computer. And it looks like one too.
The production Cybercab is beautiful. It really is special. The color, the lines, the lighting, the doors. It looks great. While also being the most efficient car in history? Insane. I think it fits perfectly in the space between familiarity and the future. It doesn’t stick out, but it catches your attention. After exiting our first ride, there was a large group of 10-20 people. They were all talking about the Cybercab as we walked by. These doors are like gasoline on a word of mouth wildfire.
Our rides were flawless. Better than a human driver. No anxious moments. Cybercab is very comfortable, even at 6’2. Leg room is particularly notable. It would be tough to find a car that has this much leg room for two passengers at the same time. No pedals, center console, or multiple rows of seating creates a lot of space and a very open feel.
Robotaxi is unquestionably one of those products that will be way cheaper and way better than what existed before. I like those. No one is going to want to roll the dice on some random person and their car when the alternative is a private, safe, comfortable, clean, consistent, quiet, personalized Tesla with tons of room and a massive screen. It’s a premium experience on every level, and we get it cheaper thanks to technology. No noise or air pollution, either.
I don’t have much to critique. Little refinements that I know will happen. Pick up and drop off were satisfactory, over time will become excellent. Grok integration is already impressive, and it’s clear that we’ll eventually be able to just give directions like “pull over around the corner up there.” You can already have Grok update your destination in Robotaxi, it pushes the update to the Robotaxi app on your phone for approval.
I leave the event with more confidence in Tesla’s ability to scale, but also renewed patience. I have a greater appreciation for the intentionality of limitations (service area, times, fleet size) rather than seeing them simply as barriers that have yet to be overcome. I now believe the objective is to build slowly, safely, to critical mass. A tail-risk event is inevitable. The absolute last thing we need is some bad luck on a tail-risk event at an early stage before enough data exists to prove its rarity. That data is accumulating quickly and will become undeniable soon enough.
Huge congrats to Tesla and Elon for this incredible milestone. Decades of work culminating in a life-saving, sustainable, affordable, economically exceptional product. It’s all pretty surreal, a testament to vision and determination. I love this company!
It’s sad to come back to a city without Robotaxi after being in ack in time. The event was awesome. I know it was tough to follow online, but we all knew the story going in.
This was a launch, not an unveiling. It felt like the city transformed immediately. Cybercabs were everywhere, you couldn’t take a trip without seeing another one. Outside of the ride experience itself, the scale of this launch is what I want to make sure people understand.
On previous trips, Robotaxi felt like a test network (an amazing one). Not anymore. Suddenly it’s real. It’s hard not to laugh when you ride past a Waymo in a Cybercab. Good luck… As I’ve said before, Robotaxi is way smoother than Waymo. It feels natural. Supernatural, really. This holds true for Cybercab. Waymo feels like a computer. And it looks like one too.
The production Cybercab is beautiful. It really is special. The color, the lines, the lighting, the doors. It looks great. While also being the most efficient car in history? Insane. I think it fits perfectly in the space between familiarity and the future. It doesn’t stick out, but it catches your attention. After exiting our first ride, there was a large group of 10-20 people. They were all talking about the Cybercab as we walked by. These doors are like gasoline on a word of mouth wildfire.
Our rides were flawless. Better than a human driver. No anxious moments. Cybercab is very comfortable, even at 6’2. Leg room is particularly notable. It would be tough to find a car that has this much leg room for two passengers at the same time. No pedals, center console, or multiple rows of seating creates a lot of space and a very open feel.
Robotaxi is unquestionably one of those products that will be way cheaper and way better than what existed before. I like those. No one is going to want to roll the dice on some random person and their car when the alternative is a private, safe, comfortable, clean, consistent, quiet, personalized Tesla with tons of room and a massive screen. It’s a premium experience on every level, and we get it cheaper thanks to technology. No noise or air pollution, either.
I don’t have much to critique. Little refinements that I know will happen. Pick up and drop off were satisfactory, over time will become excellent. Grok integration is already impressive, and it’s clear that we’ll eventually be able to just give directions like “pull over around the corner up there.” You can already have Grok update your destination in Robotaxi, it pushes the update to the Robotaxi app on your phone for approval.
I leave the event with more confidence in Tesla’s ability to scale, but also renewed patience. I have a greater appreciation for the intentionality of limitations (service area, times, fleet size) rather than seeing them simply as barriers that have yet to be overcome. I now believe the objective is to build slowly, safely, to critical mass. A tail-risk event is inevitable. The absolute last thing we need is some bad luck on a tail-risk event at an early stage before enough data exists to prove its rarity. That data is accumulating quickly and will become undeniable soon enough.
Huge congrats to Tesla and Elon for this incredible milestone. Decades of work culminating in a life-saving, sustainable, affordable, economically exceptional product. It’s all pretty surreal, a testament to vision and determination. I love this company!
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Don’t think we thank @ID_AA_Carmack and his team at id Software enough for accelerating AI. If not for games like Wolfenstein 3D, Doom, and Quake, we don’t get GPU development from folks like 3dfx, and later Nvidia. And we’d be 20+ years behind where we are today with AI.
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Raanan Bar-Cohen retweeted
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we detect you’re heavily distracted or have accidentally disengaged FSD
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we detect you’re heavily distracted or have accidentally disengaged FSD
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Raanan Bar-Cohen retweeted
There are infinite ways to break an AI. You can't defend against what you've never seen.
Nearly a decade hunting abuse across the world's biggest platforms. That became Rabbit Hole. Today it protects 8 of the 10 leading AI labs.
We've raised $140M, led by @ApaxDigital.
AI is re making it safer.
@NoamSCH said it best 👇
Nearly a decade hunting abuse across the world's biggest platforms. That became Rabbit Hole. Today it protects 8 of the 10 leading AI labs.
We've raised $140M, led by @ApaxDigital.
AI is re making it safer.
@NoamSCH said it best 👇
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Raanan Bar-Cohen retweeted
Rainmaker just produced ~19M gallons of water in Alaska via next-gen cloud seeding over 3 hours of operations.
We are the first company to provably produce precipitation in Alaska. As promised, we’ve linked our white paper and relevant data.
In the future, Rainmaker will protect and restore glaciers with man-made snowfall.
Immediately, this demonstration shows how Rainmaker will add new water to the Colorado River and Great Salt Lake in the coming months.
We turned around this analysis and white paper just a couple days after operating. There are many data sources I want to deepen our understanding of the atmosphere and increase our provable production; we’re building the instruments to collect that data in subsequent operations. But at Rainmaker, we won’t tout LOIs, simulations, or lab tests. What matters is physically measuring that you’ve affected the atmosphere; proving that we’ve produced water. We prefer sharing only the tech that has proven to make more water for farms, industries, and ecosystems in need.
Expect a regular cadence of these from us as we build the best atmospheric science lab in the world. Feedback is welcome in the interim.
Rainmaker Century.
rainmaker.com/blog/alaska-va…
We are the first company to provably produce precipitation in Alaska. As promised, we’ve linked our white paper and relevant data.
In the future, Rainmaker will protect and restore glaciers with man-made snowfall.
Immediately, this demonstration shows how Rainmaker will add new water to the Colorado River and Great Salt Lake in the coming months.
We turned around this analysis and white paper just a couple days after operating. There are many data sources I want to deepen our understanding of the atmosphere and increase our provable production; we’re building the instruments to collect that data in subsequent operations. But at Rainmaker, we won’t tout LOIs, simulations, or lab tests. What matters is physically measuring that you’ve affected the atmosphere; proving that we’ve produced water. We prefer sharing only the tech that has proven to make more water for farms, industries, and ecosystems in need.
Expect a regular cadence of these from us as we build the best atmospheric science lab in the world. Feedback is welcome in the interim.
Rainmaker Century.
rainmaker.com/blog/alaska-va…
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Love this! A bit like the early web days of testing for response time and load times. Google favored the fastest loading sites, which was one of the early secrets that led to massive SEO optimization for certain sites. Same challenges and upside now with the age of agents.
This was wild to watch unfold. We ran 𝚒𝚜-𝚊𝚐𝚎𝚗𝚝𝚒𝚌 in a loop against is-agentic.com until it got to 100/100.
It made us close quite a few gaps. We worked hard to make sure the criteria is high quality and worth your time & tokens.
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Such exciting stuff coming down the pike for Tesla with FSD. Gotta imagine that people should really try short-term leases (2 year) if possible, as hardware will continue to get upgraded. A bit like the early iPhone cycle.
JPMorgan after meeting with Tesla recently in Fremont:
"Tesla indicated it is intentionally holding back on adding Model Y units to the robotaxi fleet, expressing confidence in its ability to scale Cybercab in the near-term. On FSD V15, Tesla views this release as a step-change ble to the leap from V13 to V14. The V15 upgrade encompasses seven core technologies, with ~40% of those currently being tested in the robotaxi fleet, where initial feedback has been encouraging.
Tesla continues to focus on minimizing regression in core driving functions as it introduces new functionalities to the system, and FSD V15 is seen as the primary gateway to scaling unsupervised FSD. While the current AI/HW4 stack is capable of running V15 and supporting unsupervised FSD, Tesla’s AI4.5 compute system is designed to future-proof against rising compute (~10% higher FLOPS) and memory (~2x higher) demands as robotaxi models scale and context windows expand.
Management also reiterated that the Cybercab is just the initial form factor, with additional vehicle types expected to follow as the platform evolves (citing the obovan demo from the 10/10 event as an example).
Optimus is on track for SoP in the coming months with commercial sales expected as early as 2H27. The Gen 3 unveil will be timed closer to SoP to protect competitive advantage, while the scope of Gen 4 (in terms of capability, cost, and scalability) will be informed by Gen 3 field experience."
JPMorgan toured Tesla's Fremont factory and met with the IR team, and maintained its $TSLA price target of $475.
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