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bernt børnich

T2 · manager / operator

Robotics entrepreneur building Neo humanoid robot with vertically integrated manufacturing (custom motors, tendons, sensors) in California; focused on human-compliant hardware for world model training.

3 calls·1 name·100% bull·last heard 2 months ago·All-In Podcast+1
track record

no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY

top calls

highest conviction · one per company
1sthigh conviction
$1X1Xposition

1X CEO Bernt Børnich: Neo humanoid platform targeting hard takeoff in 3-10 years via internet-scale video pretraining

1X is building Neo as an open humanoid platform (app/skill store) and betting on cross-embodiment pretraining: making the robot mechanically identical to humans (skin, tendons, hand dynamics) so it can learn from all internet video of humans, unlocking a data flywheel that could achieve 'hard takeoff' — robots building robots, chip fabs, mining — in 3-10 years.

All-In Podcast2026-07episode →

most discussed · click a bar to filter

  • $1X

recurring themes

  • World Models & Simulation2
  • Robotics & Physical AI2
  • AI Hardware & Chip Architecture1
3 total
$1X
1X
HIGHbernt børnich·All-In Podcast·2 months ago·The $1/Hour Robot Is Coming: Four Industry Leaders Explain What’s Next
1X CEO: open platform strategy and video-data pre-training are the path to embodied AGI
1X's key differentiator is pre-training its own models on general internet video data, using human form factor as the cross-embodiment reference, which unlocks vastly more training data than any competitor. The Neo platform will be open to third-party developers and model providers, creating an ecosystem that accelerates autonomy while 1X focuses on the general problem of embodied AGI.
"What differentiates 1X from all of the other robotics companies is that we are all in on pre-training our own models on this video data on the internet. And that our cross embodim…"
28:00
$1X
1X
HIGHbernt børnich·All-In Podcast·2 months ago·The $1/Hour Robot Is Coming: Four Industry Leaders Explain What’s Next· position
1X CEO Bernt Børnich: Neo humanoid platform targeting hard takeoff in 3-10 years via internet-scale video pretraining
1X is building Neo as an open humanoid platform (app/skill store) and betting on cross-embodiment pretraining: making the robot mechanically identical to humans (skin, tendons, hand dynamics) so it can learn from all internet video of humans, unlocking a data flywheel that could achieve 'hard takeoff' — robots building robots, chip fabs, mining — in 3-10 years.
"Our big bet is you have to be able to utilize the general video data out there. And the only way to do that is you have to care about every single tiny detail of the robot to be a…"
25:51
$1X
1X Technologies
HIGHbernt børnich·TBPN·3 months ago·5.6 Sol + Superapp Release, AI 2040, Tibothy Joins, New Robot Hand Alert, Meta Releases Muse 1.1· position
1X Neo hand achieves human-level grip strength (3x competitors) via vertical integration, shipping this year
1X's fully vertically integrated manufacturing (custom motors, tendons, sensors in California) enables human-compliant hand design with 3x force of competitors, unlocking diverse manipulation data for world models; robots will build robots/data centers/chip fabs enabling physical substrate automation.
"this thing is roughly three times uh as high force as the other hands... the hand is roughly the same strength as an average human... we have promised that we are going to ship th…"
66:00
9
World Models & Simulationtailwind
Cross-embodiment pretraining on internet human video is the critical unlock for general robot intelligence
1X and Agility both identify the data pyramid: teleop data (small, high quality) → human sensor data → egocentric video → general internet video (massive). Only robots mechanically identical to humans (skin, tendons, hand dynamics) can transfer learn from the bottom layer — YouTube-scale data — solving the robot data scarcity bottleneck. This is the 'catch-22' breaker for embodied AGI.
9
World Models & Simulationtailwind
Training robots on general internet video data is the key unlock for embodied AI
The major breakthroughs in AI have come from unlocking new data sources. For robotics, teleoperation and sensor data are too small to achieve general intelligence. The key bet is that if a humanoid robot's embodiment is close enough to a human's, it can pre-train on the immense volume of general internet video data of humans — orders of magnitude more than any curated dataset — which is the only path to solving the data scarcity catch-22.
9
Robotics & Physical AItailwind
1X CEO predicts hard takeoff — robots building robots — within 3-10 years
The convergence of humanoid hardware approaching human form factor and AI pre-training on internet video data is accelerating rapidly. The CEO of 1X believes we are less than a decade away from hard takeoff where robots build robots, data centers, and chip fabs, creating true labor abundance. His personal bet is 3 years, with 10 years as the outer bound.
9
Robotics & Physical AItailwind
Human-compliant robot hands unlock diverse manipulation data for world models; slower ramp but exponential total uptake
1X's vertically integrated hand matches human strength/compliance (3x competitors), enabling training on all internet video data; robotics adoption curve slower than software initially but compounds exponentially once robots build robots/data centers/chip fabs—automating the physical substrate of intelligence.
7
AI Hardware & Chip Architecturetailwind
Cerebras wafer-scale inference (750 tok/sec) and 1X custom tendon-driven motors enable new agent/robotics paradigms
Cerebras provides 10x inference speed for latency-critical agent workflows at premium cost. 1X's biomimetic tendon/motor design (no gears, compliant force flow) achieves human-like strength-to-weight enabling safe human-robot interaction and diverse manipulation data collection for world models.