Zephry

69 posts

Zephry

Zephry

@ssj2012

Katılım Aralık 2014
46 Takip Edilen26 Takipçiler
Zephry
Zephry@ssj2012·
@zephyr_z9 My strategy analysis ! ⬇️as follows 👇 👇 👇
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Zephyr@zephyr_z9·
"CXMT is targeting HBM3 mass production by the end of 2026, reportedly still in qual with yield concerns" Really??
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high cagr@HiCagr

I want to talk about yesterday, particularly DeepSeek designing their own inference chip. Roughly a year into development, still pre-tapeout, in talks w/ design houses, foundries, and memory suppliers. Semis sold off hard. Nvidia's China revenue is still zero under export controls, and those same controls block DeepSeek from leading-edge foundries, which is a binding constraint for any inference ASIC since serving throughput is memory bandwidth bound, not FLOPS bound. China does have a domestic HBM path in CXMT, but it is rather degraded. CXMT is targeting HBM3 mass production by the end of 2026, reportedly still in qual with yield concerns, while SK, Samsung and Micron are already shipping HBM4 for Rubin. That is a 1-2 generation gap on the exact component that determines TPS/$. So the realistic outcome is a domestic inference chip on a trailing node with trailing memory, competing against Huawei's Ascend for China's $50B internal market. Not against Blackwell or Rubin. But I am starting to see a pattern, and I think we all saw this coming at some point. OpenAI unveiled their ASIC, Jalapeño with $AVGO. Anthropic is evaluating its own silicon, and now DeepSeek. Every frontier lab is vertically integrating because inference is the fastest growing workload and cost/tok is decided at the hardware layer! The HBM stacks, the advanced packaging, the switch silicon, and the MW all still get bought, by more buyers than before. I think the one name that needs to read this carefully is indeed Nvidia. DeepSeek itself is not the threat, but that pattern is. If every major buyer of accelerators ends up designing its own inference silicon, $NVDA keeps the training moat (breachable) but watches its customers carve up the inference TAM, and inference is where the volume growth is. Margin compression on a pie that is still expanding. Still irrelevant for the buildout.

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Zephry
Zephry@ssj2012·
@zephyr_z9 🚀Many of my Twitter followers have already joined my WhatsApp Click below to join my group .. Here’s the link:wa.me/14023944817?te… ➡️Reply "2026" to WhatsApp 14023944817 I share my real-time TRADE alert (entry & exit points) on WhatsApp, free to join ✅
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Zephry
Zephry@ssj2012·
@eliasga02 @zephyr_z9 🚀Many of my Twitter followers have already joined my WhatsApp Click below to join my group .. Here’s the link:wa.me/14023944817?te… ➡️Reply "2026" to WhatsApp 14023944817 I share my real-time TRADE alert (entry & exit points) on WhatsApp, free to join ✅
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Zephry
Zephry@eliasga02·
@zephyr_z9 My strategy analysis ! ⬇️as follows 👇 👇 👇
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Zephry
Zephry@ssj2012·
@eliasga02 @zephyr_z9 🚀Many of my Twitter followers have already joined my WhatsApp Click below to join my group .. Here’s the link:wa.me/14023944817?te… ➡️Reply "2026" to WhatsApp 14023944817 I share my real-time TRADE alert (entry & exit points) on WhatsApp, free to join ✅
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Zephry
Zephry@eliasga02·
@zephyr_z9 My strategy analysis ! as follows📈📈 👇 👇
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Zephry
Zephry@ssj2012·
@eliasga02 @zephyr_z9 🚀Many of my Twitter followers have already joined my WhatsApp Click below to join my group .. Here’s the link:wa.me/14023944817?te… ➡️Reply "2026" to WhatsApp 14023944817 I share my real-time TRADE alert (entry & exit points) on WhatsApp, free to join ✅
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Zephry
Zephry@eliasga02·
@zephyr_z9 My strategy analysis ! ⬇️as follows 👇 👇 👇
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Zephry
Zephry@ssj2012·
@eliasga02 @zephyr_z9 🚀Many of my Twitter followers have already joined my WhatsApp Click below to join my group .. Here’s the link:wa.me/14023944817?te… ➡️Reply "2026" to WhatsApp 14023944817 I share my real-time TRADE alert (entry & exit points) on WhatsApp, free to join ✅
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Zephry
Zephry@eliasga02·
@zephyr_z9 My strategy analysis ! ⬇️as follows 👇 👇 👇
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Zephyr
Zephyr@zephyr_z9·
InP from "very tight" to "tight" in CY27 More Chinese supply coming online 🤔🤔
P Equity Research 📰@pequityresearch

Goldman Sachs: June 2026 Update Supply/Demand Compared to their May report, they have updated: > NAND and DRAM from "tight" to "very tight" supply in Q1-Q2 of 2027. > InP from "very tight" to "tight" in CY27 > T-Glass from "balanced" to "tight" in CY27. Highlights: > DRAM Pricing Surge: Like-for-like prices for DRAM are projected to skyrocket by 250–300% in 2026, with Average Selling Price (ASP) including product mix jumping 300–350%. > Memory & T-Glass Supply Relief Delayed: The supply/demand balance for DRAM/NAND and T-Glass is expected to remain "Very Tight" longer than previously expected, extending all the way through Q2 2027 before potentially easing slightly to "Tight" in Q3 2027. > InP Substrate: Like-for-like pricing for 2026 has been updated to 15–20%. > Foundry (TSMC): Stays severely constrained through 2027. > Advanced Substrates & Materials: ABF Substrate, PCB, and CCL face persistent, severe shortages. This is reflected in heavy price hikes, with CCL and ABF Substrate seeing price increases of 30–50% in 2026 and climbing even higher (45–60%) in 2027. > Optical Components: Optical Cables and Optical Devices remain severely supply-constrained through the end of 2027, maintaining steady double-digit price increases. > Global Power & Analog Semis: Shifting from "Balanced" or "Easing" in early 2026 to "Tight"by late 2026/early 2027. Note: Local China supply for these sectors is expected to remain "Balanced". > Silicon Wafers (300mm): Starting out "Easing" in early 2026, but projected to transition to "Tight" by 2027. > Local China Foundry & Equipment (SPE): Supply conditions for local Chinese foundries and Semiconductor Manufacturing Equipment (SPE) remain mostly "Balanced" with minimal price fluctuations (0–5%). > MLCC & Tantalum Powder: Enjoying an "Easing" or "Balanced" state in early 2026 before settling into a stable "Tight" market for the remainder of the forecast period.

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Zephyr@zephyr_z9·
LOL, what makes them think that the NSA isn't already using Mythos to discover vulnerabilities or install sleepers in Chinese cyber infra "according to ⁠two of the sources, Chinese authorities are deeply worried about the potential for Mythos to exploit software vulnerabilities and that Washington might deploy the model against Chinese interests."
prinz@deredleritt3r

Reuters: - The CCP has held meetings with top Chinese AI labs (including Alibaba, ByteDance and Z.ai) about potentially restricting overseas access to China's most advanced AI models, including both closed and open-source models. - Under the proposal being discussed, anyone who leaks or steals AI technology might be punishable under China's national security laws. - This initiative may be a follow-on from a May 2026 roundtable discussion of Chinese legal experts regarding regulation of open-source AI. During this discussion, several experts proposed a three-tier system for Chinese AI models: 1. Low-risk open-source models would be subject to a simple filing or a filing exemption. One expert said models under 10B parameters should fit in this category (but this was just an example shared by one panel member). 2. More advanced AI models would be subject to pre-release safety testing and would need to be reported to a regulator. 3. Models implicating national security, risks to critical infrastructure, cybersecurity concerns, sensitive data considerations, or major public interests would not be open-sourced, or would be open-sourced only within a strictly controllable limited scope, and could be restricted to domestic use. - Unclear if and when these rules will become effective and whether they will apply to both current and future models. - Separately, "according to ⁠two of the sources, Chinese authorities are deeply worried about the potential for Mythos to exploit software vulnerabilities and that Washington might deploy the model against Chinese interests."

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Zephyr@zephyr_z9·
No Mythos from Meta
Jukan@jukan05

@alexeheath's latest reporting on Meta AI: “He expects to surpass Opus-level performance this year with the big frontier model Meta is training, codenamed Watermelon.” $META

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Zephyr@zephyr_z9·
Crazy forecast
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Zephyr@zephyr_z9·
Semianalysis is forecasting that Anthropic is processing 5Q tokens per month in June, which will grow to 13Q tokens by December
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Zephyr@zephyr_z9

Crazy forecast

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Zephyr
Zephyr@zephyr_z9·
Bad behavior from Anthropic
Evan Reiser@evanreiser

.@AnthropicAI has filed a lawsuit against @Abnormal claiming we copied their brand to mislead security customers, and they are asking for “all revenues, earnings and profits” This is obviously not true. They don’t own every A/slash design in AI cybersecurity, and they don’t get to turn a logo dispute into a claim on Abnormal’s entire business. It would be easier to concede quietly. But Abnormal was built on trust, innovation, and intellectual honesty. Values are what you do when tested (especially when inconvenient) Our behavioral security platform and our AI models are ours. Everything meaningful about Abnormal was built the hard way: the technology, the customer relationships, and the trust. We earned that trust by protecting customers, and we will defend it. My blog post about it (link below):

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Zephry
Zephry@ssj2012·
Just finished the super fun survival game variety show! The team challenges and unexpected twists had me on the edge of my seat—can’t wait for the next episode! ,
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Zephry retweetledi
boukorbaa kada
boukorbaa kada@boukorbaakada·
[Just wrapped a cozy movie night with my favorite humans No fancy plans, just warm blankets, bad popcorn jokes, and all the quiet laughter—this is the good stuff],
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Zephry
Zephry@ssj2012·
[Ready to hit the KTV mic tonight Belt out those favorite bops till your voice is hoarse—no judgment here, just nonstop fun with friends!],
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