Science, technology and critical thinking.
Joined May 2021
- Tweets 3,766
- Following 767
- Followers 1,104
- Likes 3,306
1,366 Photos and videos
🚨 $QBTS exposed!
🧵Compilation of rigorous HARD EVIDENCE exposing annealer's failures: scientific papers & benchmarks proving it's outclassed by classical systems & rival optimization tech; proving it's useless for real-world problems; debunking misleading claims & outright lies
15
13
147
65,155
$QBTS is at it again. Almost a year later, D-Wave, the pioneers of quantum vaporware and market manipulation, are recycling the same bullshit FAKE POLL marketing stunt. This time, just with a different marketing firm.
What serious company does this?
How bad are $QBTS upcoming earnings that they're willing to expose themselves so idiotically as the scammers they truly are?
Bunch of cheaters!
Fake "PR poll" backfiring!
🚨 They've been exposed🚨
👇👇👇
x.com/DrocDolf/status/194725…
2
198
There's a reason $GSIT insiders have been cashing out so aggressively.
They're counting on people with no technical knowledge to keep gullibly buying the narrative, but they know their bullshit can only go so far.
Right now, you only need basic common sense to see the scam.
Time to test these claims:
1) $GSIT chip lacks compute power & memory ("processing memory" is just 6MB)
2) Suffers from a severe memory bottleneck (proved by Cornell)
First image 👇shows a side-by-side comparison with competing chips. That's where the real picture becomes clear:
411
$18 million!! 🚨
What a fucking scam of a company.
$QBTS is nothing more than a wealth extraction scheme.
The nice thing about bullshit AI-slop X posts like this👆 is that it gives us the opportunity to remind investors that $QBTS business is selling shares, which is why they need to spend increasing amounts on promoting the stock as the number of people left to scam tends to zero.
1
1
14
2,247
$GSIT's chip actual performance is much worse than shown here.
This comparison is being generous to GSIT: 8×4-bit against Nvidia's 8×8-bit.
Based on GSIT's own data, a true 8×8-bit multiplication would achieve well under 40 TOPS and require far more than 44 cycles per operation
1
289
1/2
$GSIT Earnings May 7, someone asked:
"Gemini-II taped out over 2.5 years ago. Is it going to take that long to see expected sales, say, of Plato?"
(Implicitly asking about Gemini-II sales too)
Note Lasserre dodging both questions in his BS response
Why is he doing that? >>
1
358
2/2
Lasserre spent his answer making excuses while dodging the 2 elephants in the room:
-Don't expect any Gemini-II sales, for obvious reasons: it's many generations behind competition
- $GSIT chose to go solo (no partner was interested), but it lacks the funds to produce Plato
261
Ok it's 2026. Where the hell is Gemini-3?
…that's what 2021 bagholders would love to ask
Will baggies still be asking where the hell Gemini-2 is commercially in 2030?
Not anymore. On March 10 Didier Lasserre said $GSIT won't focus on commercial but on SBIR-like grants.
33/
2015 promises -> commercial APU in 2017 ❌
2021 promises -> commercial APU-2 in Q1 2023 ❌
2025 promises -> Plato tape-out in 2027 🤡
2026 is almost here and APU-2 is not commercial yet
Total APU units sold since 2017: ZERO
$GSIT = selling fairy tales to ignorants.
398
$GSIT one minute after posting 😂
By the way, whenever you see this stock being hyped by paid shill accounts, it's because someone needs exit liquidity that day. In this case, the VP of Taiwan Operations.
Turns out the "baby Nvidia" might just be dogshit.
2
770
That's the thing: $GSIT's pivot failed, and THEN they decided to start lying to investors.
Everything I say is grounded in facts & reason. It can be verified, challenged, and debated. Instead of doing that, this guy chose to attack me & block me
Facts stand: $GSIT has no chance
Time to test these claims:
1) $GSIT chip lacks compute power & memory ("processing memory" is just 6MB)
2) Suffers from a severe memory bottleneck (proved by Cornell)
First image 👇shows a side-by-side comparison with competing chips. That's where the real picture becomes clear:
1
529
Time to test these claims:
1) $GSIT chip lacks compute power & memory ("processing memory" is just 6MB)
2) Suffers from a severe memory bottleneck (proved by Cornell)
First image 👇shows a side-by-side comparison with competing chips. That's where the real picture becomes clear:
1,266
