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@elonmusk
With some luck and acceleration using AI, we might be able to tape out AI6 in December
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@elonmuskposted on X
AI5 will punch far above its weight, because the entire Tesla AI software stack is designed to make maximally effective use of every circuit. We co-signed our AI software and hardware. Bear in mind that AI5, while it can be used for training in data centers, is primarily optimized for AI edge compute in Optimus and Robotaxi. There is still significant room for improvement. In the same half reticle and same process node, we think a single AI6 chip has the potential to match a dual SoC AI5.
View original tweet on X →
Community Sentiment Analysis
Real-time analysis of public opinion and engagement
Sentiment Distribution
61% Engaged
50% Positive
Positive
50%
Negative
11%
Neutral
38%
Key Takeaways
What the community is saying — both sides
Supporting
1
Co-designed hardware + software is Tesla’s competitive moat
many replies argue Tesla’s vertical integration (chip → software → robotics) yields dramatic efficiency gains the industry can’t match, likening the strategy to Apple’s tight HW/SW integration.
2
AI5 is built for the edge (Optimus & Robotaxi)
commenters see AI5 as an edge-optimized accelerator that lowers latency and enables real-time autonomy in robots and robotaxis rather than relying on datacenters.
3
AI6 could be a game‑changer
a recurring view: AI6 matching two AI5s in the same die would be an exponential leap in power density and enable massive scale for robots and autonomous fleets.
4
Practical deployment questions
many ask when AI5 will reach production vehicles, whether existing cars can be upgraded from AI4 to AI5, and when Cybercab/robotaxi rollouts will begin.
5
Hardware-level tweaks and manufacturing ideas
technical proposals range from XNOR‑popcount support for low-power BNNs to splitting the reticle into AI‑configurable micro‑dies to boost yield and lower cost.
6
Market/investor angle
some replies treat vertical integration as a long‑term moat being priced into Tesla vs. NVIDIA, suggesting co-design could deliver asymmetric returns and “Moore’s Law on steroids.”
7
Power and tradeoff concerns
a subset cautions about the power envelope and real‑world efficiency gains, asking for concrete numbers on energy, memory bandwidth, and inference performance in production.
8
Demand for faster shipping and social urgency
voices push for immediate deployment (“ship unsupervised,” “need Optimus robots asap”), linking robot scale-up to economic and social relief for workers and families.
9
Enthusiastic hype and broad praise
numerous short replies express excitement, admiration and confidence that AI5 already “punches above its weight,” celebrating the engineering and future potential.
Opposing
1
snail train
" and say "timelines WILL keep getting pushed out," accusing Musk of canceling and restarting chip and product programs.
2
AI5 tape out already or not?
" and argue that "paper data is useless" without a real silicon tape‑out.
3
rolling out FSD to Chinese‑made Teslas (A14 ones) should come first
" before pushing an A15 launch.
4
why not skip AI5 and start with AI6?
" — a call to stop iterative promises and aim for bigger leaps.
5
We co‑signed our AI software and hardware
" are ridiculed as meaningless PR, with commenters saying this is what "all the carmakers are saying" to sound important.
6
ChatGPT is stronger than Grok
," praising its capabilities and welcoming the competition.
7
Gork punches far above his weight
" — and treat it as a serious rival worth celebrating.
8
So don't buy a Tesla yet
," reflecting distrust in current software/hardware readiness.
9
falling behind schedule
," with at least one user labeling him a "corporate fascist."
10
Optimus will fly to repair SpaceX satellites
," expressing disbelief, along with short bursts of frustration ("mindless", "the world goes to hell").
Top Reactions
Most popular replies, ranked by engagement
D
@Dogetothemoon
AI5 will make perfect cars and enhance Optimi🫡
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P
@pbeisel
I doubt that.
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@TheSentinelUSN
re; Take Tesla’s half-reticle win and push it further: divide the 858 mm² reticle into four adaptive quarters (~214 mm² each) that an AI fab controller dynamically configures in real time. • Layout: Four independent but interconnectable “micro-dies” printed in one exposure. •
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@mannthatsreal
Gork punches far above his weight 🔥
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@nth_howardw
AI5 is tape out already or not? If not, paper data is useless
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