@Shyon:I am leaning toward the view that AI has strengthened the memory cycle, but it has not eliminated the cycle completely. HBM and server DRAM demand are structurally stronger because AI servers are consuming much more memory, so I think this upcycle can last longer than a traditional cycle. At the same time, I understand Burry’s argument. Strong pricing will attract more capacity, and if supply catches up with AI demand, memory margins can compress quickly. For me, the key risk is the timing of the supply response, especially from new capacity and improving technology. I am still constructive on $Micron Technology(MU)$ for the mid to long term, but I prefer watching pricing, inventory and supply data rather than simply following the bullish narrative

@koolgal:🌟🌟🌟 $SanDisk Corp.(SNDK)$ is currently like a lightning rod.  The structural need for memory is real, making a strong case for a supercycle.  However the price you are paying for that future is heavily intoxicated by peak market sentiment. History screams a warning to those buying at the top.  At these levels even a tiny piece of bad news, a minor shipping delay or a change in a single customer's budget could trigger a brutal avalanche. It is much better to buy $VanEck Semiconductor ETF(SMH)$ compared to buying just SanDisk alone.  That way if SanDisk has a bad day, your portfolio is protected by othe

@koolgal:🌟🌟🌟The Tech market just threw a party with $ARM Holdings(ARM)$ up 17% & $Meta Platforms, Inc.(META)$ soaring over 11% because their new AI app hit No.1. And me? I made my profit on $NVIDIA(NVDA)$ .  Even though it only rose 7% in the past 5 days, this 7% move on NVDA adds over USD 300 billion in market value.  NVIDIA is the Master Puppeteer.  It makes the chips that train and power all of it. NVIDIA is the steady engine.  I will happily take Nvidia's slow & steady 7% gain, knowing that every single line of code those companies write is just putting more money into Jensen Huang's leather jacket fund. So go ahead & celebrate the f

@Shyon:I think the hybrid model makes the most sense. Local AI will not replace data centers, as the largest models and training workloads still need massive cloud infrastructure. But repetitive, privacy-sensitive and high-frequency inference could increasingly move local. For me, the key is total cost of ownership, not just raw performance. If companies can buy hardware once and run thousands of AI tasks without paying for every API call, local inference becomes more attractive. $Apple(AAPL)$ Apple’s unified memory gives it an interesting position, while $NVIDIA(NVDA)$ remains dominant in large-scale AI compute. I would watc

@Shyon:For me, AI Compute & Infrastructure remains the most interesting theme. AMD, $Cloudflare, Inc.(NET)$ and $F5 Inc(FFIV)$ show that AI growth is expanding beyond GPUs into networking, security and application delivery. I am especially watching AMD because of its strong data-center growth, although expectations are also much higher now. That said, I do not think this rally is purely about AI. CRWD and RBRK highlight rising cybersecurity demand, while VLO and MPC benefit from different energy and refining catalysts. I like seeing broa

@koolgal:🌟 $SanDisk Corp.(SNDK)$ explosive 10.99% surge last Friday signals that the near term NAND flash cycle is heavily overdrawn on short term momentum.  It makes it logical to wait for $Micron Technology(MU)$ earnings report on 30 September before chasing the breakout. Diving in immediately after a single day vertical leap is like sprinting to catch a departing train & you may trip right on the platform. It is far better to wait for Micron's earnings for 3 reasons: 1. Validating the Margin: If Micron's new earnings show that pricing power is beginning to level out, SanDisk's recent surge may evaporate like mist. 2.  Tracking real shipments vs hype: Confirmation is required to see whether actual