john

T2 · manager / operator

Launched a YouTube channel around 2020 focused on Silicon Valley history, reached ~500K subscribers; treats media as a blog/hobby rather than a business; co-hosts TBPN podcast interviewing entrepreneurs.

7 calls·4 names·57% bull·last heard 4 days ago·SemiAnalysis+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
$AAPLApple

Local inference shifting to Apple Silicon: 18x intelligence per joule in 16 months

Apple M4 Max and consumer GPUs are rapidly closing the gap with data center accelerators; intelligence per watt improved 3x and per joule 18x in 16 months, enabling 80-90% of queries to route locally with 50-70% cost savings.

2ndmedium conviction
$GOOGLAlphabet

Google losing AI legends to startups, becoming Bell Labs that invents but cannot monetize

Key infrastructure talent (Jeff Dean, Noam Shazeer, David Silver) leaving Google to raise billions and buy GPUs signals Google is financializing like IBM/Intel — good for stock short-term but long-term quiet decline as they settle for 'good enough' TPUs and outsource innovation.

3rdmedium conviction
$CXMTChangXin Memory Technologies

CXMT rejects Apple discount demand, holds pricing power in tight memory market

Chinese memory maker CXMT denied Apple's request for volume discount on DRAM, stating 'why would we give you a discount? Everyone wants my memory' — illustrating severe memory bottleneck where even Apple has N2 chips sitting in lockers awaiting memory.

7 total
$GOOGL
···
Alphabet
MEDjohn·SemiAnalysis·4 days ago
Google losing AI legends to startups, becoming Bell Labs that invents but cannot monetize
Key infrastructure talent (Jeff Dean, Noam Shazeer, David Silver) leaving Google to raise billions and buy GPUs signals Google is financializing like IBM/Intel — good for stock short-term but long-term quiet decline as they settle for 'good enough' TPUs and outsource innovation.
"Jeff Dean left like the legend employee number 30 map produce spanner big table tensorflow TPUs like what you know... I feel like today more than any other point I think Google ha…"
16:00
$CXMT
ChangXin Memory Technologies
MEDjohn·SemiAnalysis·4 days ago
CXMT rejects Apple discount demand, holds pricing power in tight memory market
Chinese memory maker CXMT denied Apple's request for volume discount on DRAM, stating 'why would we give you a discount? Everyone wants my memory' — illustrating severe memory bottleneck where even Apple has N2 chips sitting in lockers awaiting memory.
"Apple tried to negotiate with CXMT and got denied... They were trying to be like, oh, give us, we'll give you a giant order and you'll give us a discount. And CXMT Chad mogged the…"
38:17
$AAPL
···
Apple
MEDjohn·SemiAnalysis·4 days ago
Apple N2 chips stuck in lockers due to memory shortage, rebuffed by CXMT on pricing
Apple has fabricated N2 chips sitting idle because they cannot secure sufficient memory supply; attempted to strong-arm CXMT for discount but was rejected, highlighting structural memory bottleneck even for largest buyers.
"Apple has a bunch of N2 chips that they're sitting in the in in a locker somewhere because they can't get memory to put into their phones. Um my friend Tim Culpin reported that...…"
38:17
$CXMT
ChangXin Memory Technologies
MEDjohn·SemiAnalysis·4 days ago
CXMT rejects Apple's volume discount demand, showing memory supplier pricing power
Chinese memory maker CXMT refused Apple's request for below-market pricing despite large volume, demonstrating severe supply constraints and supplier leverage in HBM/DRAM market.
"Apple tried to negotiate with CXMT and got denied. They were trying to be like, oh, give us, we'll give you a giant order and you'll give us a discount. And CXMT Chad mogged them…"
38:30
$AAPL
···
Apple
HIGHjohn·Y Combinator·13 days ago
Local inference shifting to Apple Silicon: 18x intelligence per joule in 16 months
Apple M4 Max and consumer GPUs are rapidly closing the gap with data center accelerators; intelligence per watt improved 3x and per joule 18x in 16 months, enabling 80-90% of queries to route locally with 50-70% cost savings.
"in the past two years alone we've seen about an 18x improvement um in the actual intelligence delivered per jewel. And this is primarily driven by better accelerators. And so this…"
28:27
$SAMBANOVA
SambaNova
MEDjohn·Y Combinator·13 days ago
SN40L specialized inference accelerator outperforms consumer chips
SambaNova's SN40L represents a class of specialized inference accelerators that significantly outperform consumer GPUs on memory-bound decode workloads, creating an investment opportunity in purpose-built inference silicon.
"even more specialized accelerators for inference such as the Samanova SN40L um that see that that uh for which um consumer accelerators are lagging even more behind"
28:54
$AAPL
···
Apple
LOWjohn·SemiAnalysis·4 days ago
Apple N2 chips sit idle due to memory shortage, forced to negotiate with CXMT
Apple has manufactured N2 process chips but cannot ship products due to insufficient memory supply, highlighting industry-wide memory bottleneck.
"Apple has a bunch of N2 chips that they're sitting in the in in a locker somewhere because they can't get memory to put into their phones. Um my friend Tim Culpin reported that."
38:30