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$RIVN $TSLA In early 2026 Rivian will release Rivian Unified Intelligence. The system is multimodal and supports multiple large language models. It will handle different data types, such as text, voice, and vehicle sensor data. This is Rivian equivalent of Tesla Grok, and it was built in house.

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MoreGainzs

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15,252 görüntüleme • 7 ay önce •via X (Twitter)

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$RIVN $TSLA Now I know why Tesla influencers are mad. Rivian just put a fork in the road for FSD monopoly. First initial reaction after 30 minutes of testing Rivian Universal Hands Free. In the video below, the car is doing all the work on back roads. FYI, Universal Hands Free is not equivalent to FSD yet, but point to point coming out in 2026 should put Rivian right up there. Here is the fork in the road: 1. Claim: Everyone will license FSD from Tesla. Reality: Rivian will release point to point next year. 2. Claim: Everyone is 10 years behind Tesla in autonomous driving. Reality: Rivian is only about 1.5 years behind. 3. Claim: LiDAR is too expensive. Reality: It costs around $200. 4. Claim: Multiple sensors cause confusion and delayed decision making. Reality: With early sensor fusion, there is no confusion or added complexity. 5. Claim: Tesla is the only software defined company. Reality: Rivian licenses its software to VW for $5 billion beating Tesla to it.
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$RIVN $TSLA Now I know why Tesla influencers are mad. Rivian just put a fork in the road for FSD monopoly. First initial reaction after 30 minutes of testing Rivian Universal Hands Free. In the video below, the car is doing all the work on back roads. FYI, Universal Hands Free is not equivalent to FSD yet, but point to point coming out in 2026 should put Rivian right up there. Here is the fork in the road: 1. Claim: Everyone will license FSD from Tesla. Reality: Rivian will release point to point next year. 2. Claim: Everyone is 10 years behind Tesla in autonomous driving. Reality: Rivian is only about 1.5 years behind. 3. Claim: LiDAR is too expensive. Reality: It costs around $200. 4. Claim: Multiple sensors cause confusion and delayed decision making. Reality: With early sensor fusion, there is no confusion or added complexity. 5. Claim: Tesla is the only software defined company. Reality: Rivian licenses its software to VW for $5 billion beating Tesla to it.

MoreGainzs

189,277 görüntüleme • 8 ay önce

Doug is very bullish on the Rivian R2. Watch this clip. $rivn $tsla $lcid $ev
4:24

Doug is very bullish on the Rivian R2. Watch this clip. $rivn $tsla $lcid $ev

MoreGainzs

11,933 görüntüleme • 6 ay önce

Auto Focus is hitting 5 mi/kwh efficiency on the Rivian R2. $rivn $tsla $lcid
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Auto Focus is hitting 5 mi/kwh efficiency on the Rivian R2. $rivn $tsla $lcid

MoreGainzs

33,162 görüntüleme • 6 ay önce

$RIVN 700 miles on Rivian Universal Hands Free, and it handles very well. The system handled 95% of the drive. Point to point coming in 2026 is going to close the gap significantly with…. 👀 Full review coming (the 5%)…
0:36

$RIVN 700 miles on Rivian Universal Hands Free, and it handles very well. The system handled 95% of the drive. Point to point coming in 2026 is going to close the gap significantly with…. 👀 Full review coming (the 5%)…

MoreGainzs

24,217 görüntüleme • 7 ay önce

Everyone is talking about Rivian, and the expert Tesla investors are very confused. Here is Rivian’s timeline: December 2025: Universal hands free everywhere. The system won’t react to traffic signals. Gen 2 models only. Cameras only, no LiDAR. Q1 2026: Point to point, the system will react to traffic signals. Gen 2. Cameras only, no LiDAR. Q4 2026–2027: Level 4 self-driving. Gen 3. LiDAR + cameras. $rivn $tsla $lcid $ev
1:57

Everyone is talking about Rivian, and the expert Tesla investors are very confused. Here is Rivian’s timeline: December 2025: Universal hands free everywhere. The system won’t react to traffic signals. Gen 2 models only. Cameras only, no LiDAR. Q1 2026: Point to point, the system will react to traffic signals. Gen 2. Cameras only, no LiDAR. Q4 2026–2027: Level 4 self-driving. Gen 3. LiDAR + cameras. $rivn $tsla $lcid $ev

MoreGainzs

141,780 görüntüleme • 8 ay önce

Rivian CEO: Rivian's strategy to catch up to Tesla in self driving is to integrate LiDAR with high quality cameras for better safety and edge case handling. This hardware strategy is designed to accelerate Rivian’s software training and quickly close the gap between the two platforms. $rivn $tsla $lcid $ev
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Rivian CEO: Rivian's strategy to catch up to Tesla in self driving is to integrate LiDAR with high quality cameras for better safety and edge case handling. This hardware strategy is designed to accelerate Rivian’s software training and quickly close the gap between the two platforms. $rivn $tsla $lcid $ev

MoreGainzs

291,335 görüntüleme • 5 ay önce

Our new Enhanced Highway Assist is just the beginning. RJ Scaringe rides with VP for Autonomy & AI, James Philbin, to talk about the scalable autonomy platform introduced in Gen 2 Rivian vehicles. How will Rivian get to higher levels of autonomy? It starts with a state-of-the-art, in-house, multimodal perception stack that’s trained using advanced machine learning techniques. The Rivian Autonomy Platform is architected to scale and designed to add capabilities over time. Listen as RJ and James discuss the road ahead for autonomy at Rivian:
1:29

Our new Enhanced Highway Assist is just the beginning. RJ Scaringe rides with VP for Autonomy & AI, James Philbin, to talk about the scalable autonomy platform introduced in Gen 2 Rivian vehicles. How will Rivian get to higher levels of autonomy? It starts with a state-of-the-art, in-house, multimodal perception stack that’s trained using advanced machine learning techniques. The Rivian Autonomy Platform is architected to scale and designed to add capabilities over time. Listen as RJ and James discuss the road ahead for autonomy at Rivian:

Rivian

84,887 görüntüleme • 1 yıl önce

Doug DeMuro, after driving the Rivian R2, considers it the best all around electric car he has ever drove. $rivn
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Doug DeMuro, after driving the Rivian R2, considers it the best all around electric car he has ever drove. $rivn

MoreGainzs

67,052 görüntüleme • 6 ay önce

What if $UBER doubles down on Autonomous Vehicles and buys $RIVN to focus on making the Rivian R2 (a $45K vehicle) Uber's autonomous offering? This is the type of move that dara khosrowshahi could pull off and get WAYYYY ahead of $TSLA.
1:53

What if $UBER doubles down on Autonomous Vehicles and buys $RIVN to focus on making the Rivian R2 (a $45K vehicle) Uber's autonomous offering? This is the type of move that dara khosrowshahi could pull off and get WAYYYY ahead of $TSLA.

Hamid

31,426 görüntüleme • 1 yıl önce

NEWS: Rivian haș unveiled its Autonomy chip and Gen 3 Autonomy Computer, which the company says is designed to solve the needs of autonomous driving. Chip: • Mutli-chip module • TSMC 5nm • Neural engine: Rivian designed • 800+ TOPS • In-house designed software stack "RAP1 powers the company’s third-generation Autonomy computer, the Autonomy Compute Module 3. Key specs include: • 1600 sparse INT8 TOPS • The processing power of 5 billion pixels per second. • RAP1 features RivLink, a low latency interconnect technology allowing chips to be connected to multiply processing power, making it inherently extensible. • RAP1 is enabled by an in-house developed AI compiler and platform software.” Rivian: “In addition to ACM3, Rivian plans to integrate LiDAR into future R2 models. LiDAR will augment the company’s multi-modal sensor strategy, providing detailed, three-dimensional spatial data and redundant sensing, and improving real-time detection for the edge cases of driving. Our Gen 3 Autonomy hardware including ACM3 and LiDAR is currently undergoing validation and we expect it to ship on R2 models starting at the end of 2026.”
3:40

NEWS: Rivian haș unveiled its Autonomy chip and Gen 3 Autonomy Computer, which the company says is designed to solve the needs of autonomous driving. Chip: • Mutli-chip module • TSMC 5nm • Neural engine: Rivian designed • 800+ TOPS • In-house designed software stack "RAP1 powers the company’s third-generation Autonomy computer, the Autonomy Compute Module 3. Key specs include: • 1600 sparse INT8 TOPS • The processing power of 5 billion pixels per second. • RAP1 features RivLink, a low latency interconnect technology allowing chips to be connected to multiply processing power, making it inherently extensible. • RAP1 is enabled by an in-house developed AI compiler and platform software.” Rivian: “In addition to ACM3, Rivian plans to integrate LiDAR into future R2 models. LiDAR will augment the company’s multi-modal sensor strategy, providing detailed, three-dimensional spatial data and redundant sensing, and improving real-time detection for the edge cases of driving. Our Gen 3 Autonomy hardware including ACM3 and LiDAR is currently undergoing validation and we expect it to ship on R2 models starting at the end of 2026.”

Sawyer Merritt

148,029 görüntüleme • 8 ay önce

I drive a $TSLA Cybertruck and use FSD every day! It freaking rocks! I also took a self-driving demo ride in a $RIVN R1 with their Gen 2 (current) autonomy computer. This is how they compare. (spoiler alert: Tesla community thinks Rivian is 10 years behind Tesla - nope!)
3:23

I drive a $TSLA Cybertruck and use FSD every day! It freaking rocks! I also took a self-driving demo ride in a $RIVN R1 with their Gen 2 (current) autonomy computer. This is how they compare. (spoiler alert: Tesla community thinks Rivian is 10 years behind Tesla - nope!)

Hamid

107,455 görüntüleme • 8 ay önce

My OPINION is that $RIVN could be the next $HOOD or $RKLB in the next couple of years and we'll be looking back and saying "Rivian was a no-brainer at $13 per share when it was just a $16 Billion company!" But way more people will buy it if it hits $100 per share and well over $100 Billion company.
3:06

My OPINION is that $RIVN could be the next $HOOD or $RKLB in the next couple of years and we'll be looking back and saying "Rivian was a no-brainer at $13 per share when it was just a $16 Billion company!" But way more people will buy it if it hits $100 per share and well over $100 Billion company.

Hamid

136,588 görüntüleme • 10 ay önce

The final components for Rivian's on-site wind turbine arrived in Normal. When the turbine is up and running, every new Rivian vehicle that rolls off our assembly line will get its first charge with 100% carbon-free energy, contributing to our goal of operating a net zero plant.
0:56

The final components for Rivian's on-site wind turbine arrived in Normal. When the turbine is up and running, every new Rivian vehicle that rolls off our assembly line will get its first charge with 100% carbon-free energy, contributing to our goal of operating a net zero plant.

Rivian

67,257 görüntüleme • 3 yıl önce

Don't expect the $2,500 Autonomy+ price tag to last. Rivian is selling this near hardware cost (~$1,500) and at the same price as Ford's basic L2. That will likely change once "Point-to-Point" and "Eyes-Off" (Gen 3) roll out. $RIVN
0:37

Don't expect the $2,500 Autonomy+ price tag to last. Rivian is selling this near hardware cost (~$1,500) and at the same price as Ford's basic L2. That will likely change once "Point-to-Point" and "Eyes-Off" (Gen 3) roll out. $RIVN

Rivian DD

116,634 görüntüleme • 8 ay önce

Thank you to the Northeast Rivian Club for your amazing enthusiasm for Rivian being in NY!!! It is humbling to see all the love and support you’ve showed our team this week. I hope you make yourselves at home in our new space!
0:24

Thank you to the Northeast Rivian Club for your amazing enthusiasm for Rivian being in NY!!! It is humbling to see all the love and support you’ve showed our team this week. I hope you make yourselves at home in our new space!

RJ Scaringe

65,437 görüntüleme • 3 yıl önce

MotionGPT: Human Motion as a Foreign Language paper page: Though the advancement of pre-trained large language models unfolds, the exploration of building a unified model for language and other multi-modal data, such as motion, remains challenging and untouched so far. Fortunately, human motion displays a semantic coupling akin to human language, often perceived as a form of body language. By fusing language data with large-scale motion models, motion-language pre-training that can enhance the performance of motion-related tasks becomes feasible. Driven by this insight, we propose MotionGPT, a unified, versatile, and user-friendly motion-language model to handle multiple motion-relevant tasks. Specifically, we employ the discrete vector quantization for human motion and transfer 3D motion into motion tokens, similar to the generation process of word tokens. Building upon this "motion vocabulary", we perform language modeling on both motion and text in a unified manner, treating human motion as a specific language. Moreover, inspired by prompt learning, we pre-train MotionGPT with a mixture of motion-language data and fine-tune it on prompt-based question-and-answer tasks. Extensive experiments demonstrate that MotionGPT achieves state-of-the-art performances on multiple motion tasks including text-driven motion generation, motion captioning, motion prediction, and motion in-between.
0:48

MotionGPT: Human Motion as a Foreign Language paper page: Though the advancement of pre-trained large language models unfolds, the exploration of building a unified model for language and other multi-modal data, such as motion, remains challenging and untouched so far. Fortunately, human motion displays a semantic coupling akin to human language, often perceived as a form of body language. By fusing language data with large-scale motion models, motion-language pre-training that can enhance the performance of motion-related tasks becomes feasible. Driven by this insight, we propose MotionGPT, a unified, versatile, and user-friendly motion-language model to handle multiple motion-relevant tasks. Specifically, we employ the discrete vector quantization for human motion and transfer 3D motion into motion tokens, similar to the generation process of word tokens. Building upon this "motion vocabulary", we perform language modeling on both motion and text in a unified manner, treating human motion as a specific language. Moreover, inspired by prompt learning, we pre-train MotionGPT with a mixture of motion-language data and fine-tune it on prompt-based question-and-answer tasks. Extensive experiments demonstrate that MotionGPT achieves state-of-the-art performances on multiple motion tasks including text-driven motion generation, motion captioning, motion prediction, and motion in-between.

AK

125,353 görüntüleme • 3 yıl önce

CES report #22: Grok soon will have voice. But will it be this good? Handle multiple voices in the car? And be able to talk with each in real time or just the driver? Lock onto the driver’s voice while there is a screaming baby in the back seat? Will Grok’s latency/speed be this good? Can it handle multiple people talking in different languages? Speechmatics is the industry’s best at the moment. They believe they have a two-year lead over Tesla. We will find out in a few weeks. This is hugely important for Robotaxi networks and robots.
12:08

CES report #22: Grok soon will have voice. But will it be this good? Handle multiple voices in the car? And be able to talk with each in real time or just the driver? Lock onto the driver’s voice while there is a screaming baby in the back seat? Will Grok’s latency/speed be this good? Can it handle multiple people talking in different languages? Speechmatics is the industry’s best at the moment. They believe they have a two-year lead over Tesla. We will find out in a few weeks. This is hugely important for Robotaxi networks and robots.

Robert Scoble

90,207 görüntüleme • 1 yıl önce

TimeFusion is built on a new multimodal encoding and decoding framework based on Universal Tokens. This approach can easily extend to a wide range of modalities beyond time-series data and language. Here’s a preview of our ongoing work using Universal Tokens to unify images, sensor data, and language in a single embedding space. This allows dynamic cross-modal mappings—such as converting a video stream directly into physical measurements, all controlled through natural language. #PhysicalAI #multimodal
0:22

TimeFusion is built on a new multimodal encoding and decoding framework based on Universal Tokens. This approach can easily extend to a wide range of modalities beyond time-series data and language. Here’s a preview of our ongoing work using Universal Tokens to unify images, sensor data, and language in a single embedding space. This allows dynamic cross-modal mappings—such as converting a video stream directly into physical measurements, all controlled through natural language. #PhysicalAI #multimodal

Ivan Poupyrev

36,361 görüntüleme • 7 ay önce

Doubling down on my $RIVN Investment! Here are all the reasons why: • Founder RJ (RJ Scaringe), an MIT grad, is brilliant, hands-on, and laser-focused on Rivian (not building 7 different companies) • Rivian is the ONLY other company (besides $TSLA) that has already built a full EV stack: - cutting-edge software - top-tier manufacturing - in-house battery tech - in-house electronics & FSD/AI hardware - in-house top-tier AI and full self driving team - in-house fast-charging network (similar to Tesla super chargers) • Rivian is the ONLY other company that is shipping an 8-camera surround view and powerful onboard computer for FSD in EVERY vehicle. They can collect enormous amounts of real-world video (2nd only to Tesla) to train their AI. Can’t believe no traditional car maker is doing this yet! • Rivian’s FSD/AI team is led by top talent making rapid progress on FSD using latest AI neural net techniques, similar to Tesla’s FSD v12+. • Rivian’s R1 Truck and SUV are both highly rated and loved by customers • Rivian’s Delivery van is a unique offering that is also loved by customers • Rivan’s R2 vehicle (to be launched in 2026) is intended to be high-volume and will likely be a great alternative to the Model Y and drive the company to profitability (note that it doesn't need to beat Model Y...the shift is from gas-cars to EVs). • Rivian’s $5.8B parnership with VW proves that Rivian is FAR ahead in software/tech/electronics than any other traditional car company (remember VW is the world’s largest car manufacturer and they still need Rivian’s help for EVs!) • Rivan’s ~$13 Billion market cap is RIDICULOUSLY LOW for a company that is as accomplished with real-world products that customers love. That said, there are RISKS with Rivian: • Scaling & production challenges could delay Rivian’s progress • They are still losing A LOT of money every quarter and if progress to profitability takes too long, they could run out of money and be forced to raise money at unfavorable terms. But if Rivian becomes a viable and profitable company, in say 5 years from now, producing 500K+ vehicles, it could easily have a $200 Billion valuation (less than 1/7th or 15% of $TSLA’s valuation TODAY!) That’s roughly a 1,500% potential upside, with just a 100% downside, making this bet well worth it for me, even if the probability of success is less than 50/50. So that's why I’m doubling down on $RIVN. 🚀
8:19

Doubling down on my $RIVN Investment! Here are all the reasons why: • Founder RJ (RJ Scaringe), an MIT grad, is brilliant, hands-on, and laser-focused on Rivian (not building 7 different companies) • Rivian is the ONLY other company (besides $TSLA) that has already built a full EV stack: - cutting-edge software - top-tier manufacturing - in-house battery tech - in-house electronics & FSD/AI hardware - in-house top-tier AI and full self driving team - in-house fast-charging network (similar to Tesla super chargers) • Rivian is the ONLY other company that is shipping an 8-camera surround view and powerful onboard computer for FSD in EVERY vehicle. They can collect enormous amounts of real-world video (2nd only to Tesla) to train their AI. Can’t believe no traditional car maker is doing this yet! • Rivian’s FSD/AI team is led by top talent making rapid progress on FSD using latest AI neural net techniques, similar to Tesla’s FSD v12+. • Rivian’s R1 Truck and SUV are both highly rated and loved by customers • Rivian’s Delivery van is a unique offering that is also loved by customers • Rivan’s R2 vehicle (to be launched in 2026) is intended to be high-volume and will likely be a great alternative to the Model Y and drive the company to profitability (note that it doesn't need to beat Model Y...the shift is from gas-cars to EVs). • Rivian’s $5.8B parnership with VW proves that Rivian is FAR ahead in software/tech/electronics than any other traditional car company (remember VW is the world’s largest car manufacturer and they still need Rivian’s help for EVs!) • Rivan’s ~$13 Billion market cap is RIDICULOUSLY LOW for a company that is as accomplished with real-world products that customers love. That said, there are RISKS with Rivian: • Scaling & production challenges could delay Rivian’s progress • They are still losing A LOT of money every quarter and if progress to profitability takes too long, they could run out of money and be forced to raise money at unfavorable terms. But if Rivian becomes a viable and profitable company, in say 5 years from now, producing 500K+ vehicles, it could easily have a $200 Billion valuation (less than 1/7th or 15% of $TSLA’s valuation TODAY!) That’s roughly a 1,500% potential upside, with just a 100% downside, making this bet well worth it for me, even if the probability of success is less than 50/50. So that's why I’m doubling down on $RIVN. 🚀

Hamid

93,818 görüntüleme • 1 yıl önce

Google presents AudioPaLM: A Large Language Model That Can Speak and Listen paper page: introduce AudioPaLM, a large language model for speech understanding and generation. AudioPaLM fuses text-based and speech-based language models, PaLM-2 [Anil et al., 2023] and AudioLM [Borsos et al., 2022], into a unified multimodal architecture that can process and generate text and speech with applications including speech recognition and speech-to-speech translation. AudioPaLM inherits the capability to preserve paralinguistic information such as speaker identity and intonation from AudioLM and the linguistic knowledge present only in text large language models such as PaLM-2. We demonstrate that initializing AudioPaLM with the weights of a text-only large language model improves speech processing, successfully leveraging the larger quantity of text training data used in pretraining to assist with the speech tasks. The resulting model significantly outperforms existing systems for speech translation tasks and has the ability to perform zero-shot speech-to-text translation for many languages for which input/target language combinations were not seen in training. AudioPaLM also demonstrates features of audio language models, such as transferring a voice across languages based on a short spoken prompt.
4:10

Google presents AudioPaLM: A Large Language Model That Can Speak and Listen paper page: introduce AudioPaLM, a large language model for speech understanding and generation. AudioPaLM fuses text-based and speech-based language models, PaLM-2 [Anil et al., 2023] and AudioLM [Borsos et al., 2022], into a unified multimodal architecture that can process and generate text and speech with applications including speech recognition and speech-to-speech translation. AudioPaLM inherits the capability to preserve paralinguistic information such as speaker identity and intonation from AudioLM and the linguistic knowledge present only in text large language models such as PaLM-2. We demonstrate that initializing AudioPaLM with the weights of a text-only large language model improves speech processing, successfully leveraging the larger quantity of text training data used in pretraining to assist with the speech tasks. The resulting model significantly outperforms existing systems for speech translation tasks and has the ability to perform zero-shot speech-to-text translation for many languages for which input/target language combinations were not seen in training. AudioPaLM also demonstrates features of audio language models, such as transferring a voice across languages based on a short spoken prompt.

AK

290,517 görüntüleme • 3 yıl önce