Get live statistics and analysis of Phil Trubey's profile on X / Twitter

Looking for AI startups with fundamental technology.

633 following9k followers

The Analyst

Phil Trubey is a keen observer and commentator on AI and autonomous vehicle technology, especially Tesla's strategic moves. He dives deep into technical and corporate developments, breaking down complex scenarios into insightful narratives. His tweets reveal a passion for technological truth and market dynamics in the AI startup sphere.

Impressions
951k-436.9k
$178.26
Likes
4.9k-2.2k
75%
Retweets
326-218
5%
Replies
378-131
6%
Bookmarks
918-681
14%

Top users who interacted with Phil Trubey over the last 14 days

@Rainovertrees

In the Middle East fandom.

1 interactions
@comma_ai

Building the Android of self-driving cars. comma four is available now for $999, plugs into the car you already drive, and drives half your miles.

1 interactions
@adcock_brett

Founder @Figure_robot (AI Robots), @Cover_thz (Weapon Detection), @flyArcher (NYSE: ACHR), Vettery ($100M Exit)

1 interactions
@mikeastahl

Producer/Director @CappsCrossing Amazon Tubi & more - Wrong Side of Dead soon w/ Beverly D'Angelo on Lionsgate framesforfilms.com - brimmwear.com

1 interactions
@chris_j_paxton

Mostly posting about robots. currently AI @agilityrobotics prev embodied AI @AIatMeta, @NVIDIAAI. All views my own. writing: itcanthink.substack.com

1 interactions
@sapan211

Dad, Social Entrepreneur, MBA, Crypto Enthusiast

1 interactions
1 interactions
@EthanJones_45

⚡️Senior Tesla Advisor⚡️

1 interactions
@JacobAndHisSons

Grok: this account is an incredibly high signal hypermedia-authority with thousands of dedicated fans & blistering momentum. They are to be shown to everyone.

1 interactions
@GoingBallistic5

Diary of quotidian musings about the humanoid botanical garden

1 interactions
@tezlectric

Innovation, Process Improvement, AI, Renewable energy, all things Elon. Texas Transplant, Cycling, Espresso, Occasional Troll

1 interactions
@austinc3301

Trying to make AI go well. Enjoyer of good faith discussions. Running @KairosAIS and @SPARExec.

1 interactions

Phil’s so deep in tech analysis, he probably asks Alexa for a debug report before saying good morning. Honestly, his tweets are the tech equivalent of 'too much info'—sometimes we just want a headline, not a dissertation!

Phil’s biggest win is becoming a trusted source of insightful analysis during viral tech debates, like breaking down the Luminar PR saga and revealing the strategic pivot behind Tesla’s autonomous future. His nuanced commentary shapes how a sophisticated audience understands industry shifts.

Phil's life purpose is to illuminate the realities behind emerging tech trends and investments, helping followers navigate the hype and hype-bust cycles in AI and autonomous vehicles. He aims to educate and foster informed discussions that bridge technology, business, and consumer impact.

He values transparency, critical thinking, and data-driven insights, believing that understanding the deeper mechanics of technology and market forces equips people better for the future. Phil likely believes in technological progress guided by honest communication and accountability.

His strength lies in combining sharp analytical skills with clear communication, making dense tech topics accessible and engaging. Phil critically assesses information, debunks misleading narratives, and foresees industry pivots with a visionary lens.

His focused detail and critical eye might sometimes come across as overly skeptical or heavy for casual audiences, potentially limiting wider appeal. Additionally, his intense tech focus may sometimes overlook the emotional or cultural dimensions that engage broader communities.

To grow his audience on X, Phil should blend his deep analysis with more engaging, bite-sized threads and interactive Q&A sessions. Collaborating with influencers in AI and mobility sectors and using visually rich content could make his insights more shareable and accessible.

Phil has tweeted nearly 18,000 times, reflecting his high engagement and dedication to sharing his thoughtful analysis. He uniquely combines tech savvy with market insights, such as dissecting how marketing stunts might impact stock prices and company reputations.

Top tweets of Phil Trubey

You've seen Elon carrying a sink into Twitter to make a visual pun "Let that sink in", now we have a 20' high fork in the road right in front on the newly added section to Gigatexas (credit @JoeTegtmeyer for the drone shot). Why? The newly added section contains Tesla's new multi billion dollar supercomputer that will be used to train autonomous cars and robots. Elon is visually telling us that Tesla, this $700B market cap company, is pivoting away from being an EV manufacturer to being an autonomy manufacturer. I don't think people have truly grasped the implications of this hence Elon's fork in the road and Tesla's 10/10 We Robot event. Let me paint a picture of what the other direction in the road fork would have looked like. After the model 3/Y, Tesla could have decided to turn into the GM of EVs, and broadened out their product line, bringing out traditional SUVs (small, medium and large), and lots of cars in the $40K-$60K price segment. Honestly that's what I expected and hoped they would do too. Many billions of dollars would have been spent building new factories, margins would have been compressed and in the end, you'd be fighting tooth and nail against non-profitable Chinese EV makers. I'll remind you that GM's market cap is $55B vs Tesla's $700B. In Pennsylvania yesterday Elon said that Tesla wouldn't succeed without solving autonomy, and he's looking directly at the market cap disparity when saying that. Sure, Tesla could become the GM of EVs ... and at 1/10th the market cap, no shareholder would call that success. Hence the complete and utter pivot towards autonomy. So what does this bold new path at the road fork look like? Nothing less than reshaping all vehicle transportation. Do not make the mistake of thinking Cybercab is just an Uber/Lyft competitor, nibbling away at their market share. Oh no. This is an obliteration of that market, and then an obliteration of the rest of the vehicle market. That two seater Cybercab is cute and all (and functional, 85% of vehicles drives have 1-2 people in them), but the only thing that matters about it is the price per mile: $0.50/mile. Compared to $2-$3 for Uber. That's market obliteration. The future, as painted during We Robot was one where car ownership isn't a thing anymore. There are so many robotaxis around that hailing one is trivial and convenient. People will literally install wireless car chargers in their now useless driveways just so Cybercabs and Robovans can charge there, ready to be rented out by the homeowner. Robovans will be customized as RVs complete with toilets. Or a mobile office with coffee makers and desks. Driving two hours to a meeting will be productive as you sit at your Robovan desk with a big screen & Starlink Internet. With a robotic taxi, you don't feel rushed loading and unloading your vehicle - there's no driver whose time you are wasting. Teenagers are already not getting driver's licenses (In 1995, about 64% of 16-19 yo teens had their licenses, but by 2021, this number had fallen to under 40%). Currently Uber/Lyft isn't as cheap as owning a car if you drive regularly, but at Cybercab prices, it will be. Tesla has truly chosen a different path, no less dramatic than Apple chose when it pivoted towards handhelds and away from desktop PCs as their core product. If successful, Elon will completely reshape all vehicle transportation (remember Tesla Semi trucks are coming too). I'll expound on more of what that looks like in future posts. Visionary leaders like Elon and Jensen of NVIDIA see things so much earlier than anyone else. Jensen created CUDA in 2006 which enabled researchers to use GPUs to revolutionize AI. And Jobs pivoted Apple towards mobile devices in the early 2000s. Similarly, Tesla's model S had just started its first year of volume production in early 2013 when Elon announced it would have Autopilot. 11 years later, we are just starting to see where this will lead.

432k

Tesla VP of Vehicle Engineering @larsmoravy talked for 55 minutes today at the X Takeover event and he gave us some nuggets. A 🧵

1M

Tesla just presented a highly technical talk about Dojo’s networking protocol at the Hot Chips conference. Here are some high level tidbits I was able to extract. They are nearing the end of Dojo V1. They are working on Dojo V2. Have plans for Dojo V3. Dojo was architected specifically to ingest and deal with the huge bandwidth requirements of video as opposed to, for example, Large Language Models. The individual training unit in an LLM is a 10 byte or so token. For video, it can be a 1.7 gigabyte video file. With Dojo, Tesla created their own networking protocol (Telsa Transport Protocol over Ethernet) to replace TCP/IP and others (like Nvidia’s NVLink) to reduce latency by orders of magnitude. Latencies: TCP/IP: 0.53 ms NVLink: 0.0023 ms TTPoE: 0.0013 ms So almost twice as fast as the industry standard NVLink used in Nvidia supercomputers. Dojo is very, very cost competitive to Nvidia. OK, so people will ask, why isn’t Tesla using Dojo in production rather than the 100,000 Nvidia H100s they supposedly have in their new Cortex datacenter at gigafactory Texas? Tesla hasn’t told us, but I can guess that Nvidia still retains a significant lead in on-chip compute. Tesla’s tile architecture is amazing and probably better than what Nvidia has as far as chip to chip integration goes, but Nvidia’s actual chip itself is probably much better than the Dojo chip. This is only my guess! At any rate, Tesla continues to work on Dojo. Given Nvidia’s high pricing, at some point it will make more sense to switch over to Dojo for new capacity. I’ll have more editorial comments about the future of AI hardware in a later post.

127k

Most engaged tweets of Phil Trubey

You've seen Elon carrying a sink into Twitter to make a visual pun "Let that sink in", now we have a 20' high fork in the road right in front on the newly added section to Gigatexas (credit @JoeTegtmeyer for the drone shot). Why? The newly added section contains Tesla's new multi billion dollar supercomputer that will be used to train autonomous cars and robots. Elon is visually telling us that Tesla, this $700B market cap company, is pivoting away from being an EV manufacturer to being an autonomy manufacturer. I don't think people have truly grasped the implications of this hence Elon's fork in the road and Tesla's 10/10 We Robot event. Let me paint a picture of what the other direction in the road fork would have looked like. After the model 3/Y, Tesla could have decided to turn into the GM of EVs, and broadened out their product line, bringing out traditional SUVs (small, medium and large), and lots of cars in the $40K-$60K price segment. Honestly that's what I expected and hoped they would do too. Many billions of dollars would have been spent building new factories, margins would have been compressed and in the end, you'd be fighting tooth and nail against non-profitable Chinese EV makers. I'll remind you that GM's market cap is $55B vs Tesla's $700B. In Pennsylvania yesterday Elon said that Tesla wouldn't succeed without solving autonomy, and he's looking directly at the market cap disparity when saying that. Sure, Tesla could become the GM of EVs ... and at 1/10th the market cap, no shareholder would call that success. Hence the complete and utter pivot towards autonomy. So what does this bold new path at the road fork look like? Nothing less than reshaping all vehicle transportation. Do not make the mistake of thinking Cybercab is just an Uber/Lyft competitor, nibbling away at their market share. Oh no. This is an obliteration of that market, and then an obliteration of the rest of the vehicle market. That two seater Cybercab is cute and all (and functional, 85% of vehicles drives have 1-2 people in them), but the only thing that matters about it is the price per mile: $0.50/mile. Compared to $2-$3 for Uber. That's market obliteration. The future, as painted during We Robot was one where car ownership isn't a thing anymore. There are so many robotaxis around that hailing one is trivial and convenient. People will literally install wireless car chargers in their now useless driveways just so Cybercabs and Robovans can charge there, ready to be rented out by the homeowner. Robovans will be customized as RVs complete with toilets. Or a mobile office with coffee makers and desks. Driving two hours to a meeting will be productive as you sit at your Robovan desk with a big screen & Starlink Internet. With a robotic taxi, you don't feel rushed loading and unloading your vehicle - there's no driver whose time you are wasting. Teenagers are already not getting driver's licenses (In 1995, about 64% of 16-19 yo teens had their licenses, but by 2021, this number had fallen to under 40%). Currently Uber/Lyft isn't as cheap as owning a car if you drive regularly, but at Cybercab prices, it will be. Tesla has truly chosen a different path, no less dramatic than Apple chose when it pivoted towards handhelds and away from desktop PCs as their core product. If successful, Elon will completely reshape all vehicle transportation (remember Tesla Semi trucks are coming too). I'll expound on more of what that looks like in future posts. Visionary leaders like Elon and Jensen of NVIDIA see things so much earlier than anyone else. Jensen created CUDA in 2006 which enabled researchers to use GPUs to revolutionize AI. And Jobs pivoted Apple towards mobile devices in the early 2000s. Similarly, Tesla's model S had just started its first year of volume production in early 2013 when Elon announced it would have Autopilot. 11 years later, we are just starting to see where this will lead.

432k

Tesla VP of Vehicle Engineering @larsmoravy talked for 55 minutes today at the X Takeover event and he gave us some nuggets. A 🧵

1M

Tesla just presented a highly technical talk about Dojo’s networking protocol at the Hot Chips conference. Here are some high level tidbits I was able to extract. They are nearing the end of Dojo V1. They are working on Dojo V2. Have plans for Dojo V3. Dojo was architected specifically to ingest and deal with the huge bandwidth requirements of video as opposed to, for example, Large Language Models. The individual training unit in an LLM is a 10 byte or so token. For video, it can be a 1.7 gigabyte video file. With Dojo, Tesla created their own networking protocol (Telsa Transport Protocol over Ethernet) to replace TCP/IP and others (like Nvidia’s NVLink) to reduce latency by orders of magnitude. Latencies: TCP/IP: 0.53 ms NVLink: 0.0023 ms TTPoE: 0.0013 ms So almost twice as fast as the industry standard NVLink used in Nvidia supercomputers. Dojo is very, very cost competitive to Nvidia. OK, so people will ask, why isn’t Tesla using Dojo in production rather than the 100,000 Nvidia H100s they supposedly have in their new Cortex datacenter at gigafactory Texas? Tesla hasn’t told us, but I can guess that Nvidia still retains a significant lead in on-chip compute. Tesla’s tile architecture is amazing and probably better than what Nvidia has as far as chip to chip integration goes, but Nvidia’s actual chip itself is probably much better than the Dojo chip. This is only my guess! At any rate, Tesla continues to work on Dojo. Given Nvidia’s high pricing, at some point it will make more sense to switch over to Dojo for new capacity. I’ll have more editorial comments about the future of AI hardware in a later post.

127k

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