INTC

Post argues Qualcomm ($QCOM) has a newly confirmed hyperscaler custom-silicon engagement for data-center CPU with initial shipments later this calendar year, potentially driving an AI/data-center re-rating. It frames $QCOM as a “cheap legacy smartphone chipmaker” (low forward P/E cited) with hidden AI upside, while acknowledging handset demand/memory-shortage risks and secular mobile concerns. Mentions valuation comps ($ARM, $INTC, $AMD) and an analogy to Soitec (Soitec) as prior “hidden AI upsi

arXiv paper proposes GARD: diffusion-based denoising/restoration performed in the *feature space* of a feed-forward multi-view 3D reconstruction model, aiming to make 3D reconstruction robust to real-world image degradations; also adds an RGB decoder to recover improved imagery alongside geometry. This is early-stage research (no product/partner), but it reinforces a broader trend: more compute-heavy, diffusion-style enhancement pipelines migrating from pixels to learned representations, which c

Post argues AI infrastructure bottleneck is shifting from GPUs toward CPUs as agentic/workflow-based AI increases branching, I/O, and decision-heavy tasks. Implies rising CPU demand intensity (CPU:GPU ratio moving toward 1:1) and underappreciated CPU supply/throughput constraints.

Paper claims a co-designed diffusion-transformer + kernel/quantization stack enabling real-time (24 FPS end-to-end) streaming video-to-video editing at ~720p on a single NVIDIA RTX 5090 (Blackwell), with DiT core at 58 FPS. The actionable market mechanism is: real-time generative video editing becomes feasible on consumer GPUs, pulling demand toward high-end NVIDIA GPUs and CUDA-optimized inference stacks; downstream, creator/live-streaming and game/UGC platforms could add real-time AI effects i

Academic arXiv paper proposes a multi-resolution end-to-end CNN for autonomous driving that can switch input resolution at runtime to meet a latency budget, using per-resolution batch norm and a “resolution retargeting” training method. Investable angle: techniques that improve latency/safety under variable compute map to ADAS/AV stacks, edge AI inference optimization, and automotive SoCs—benefiting vendors of automotive compute/inference tooling and potentially pressuring laggards if adopted br

Post comments on choppy market conditions, recommends low activity/tight stops, and notes the author took partial profits after INTC and MXL earnings while keeping half of the position.

Episode highlights a perceived inflection in the “AI capex” narrative: Google materially raised AI capex guidance (~$205B referenced), reported negative free cash flow, and the stock sold off (~-7%), framed as an early sign of an AI capex “reckoning.” Tesla also sold off (~-14.5%). Mentions earnings/updates across GE Vernova, Lockheed Martin, Northrop Grumman, Moody’s, Blackstone, ServiceNow, plus IBM/Intel, and a discussion on whether bank exposure makes sense alongside heavy AI exposure.

Bloomberg Open Interest segment highlights: sharp Big Tech selloff (~$800B), Intel positioned as an AI “bright spot” (turnaround/foundry/AI infra demand but capex risk), renewed Trump tariff agenda (trade/USMCA/forced-labor policy) raising supply-chain and inflation uncertainty, heightened geopolitics (threats vs Iran), and a near-term catalyst stack (Fed decision + Big Tech earnings). Also mentions: Albertsons downgrade, Oracle target increase, and SGX expansion strategy.

Single short post noting $INTC opened red after earnings; no explicit thesis, catalyst details, or positioning beyond frustration/astonishment.

Post claims Intel delivered a “seventh consecutive beat” in 2Q26, says semiconductor demand remains far ahead of supply, and that Intel is finally raising capex (2026 capex from $18B to >$20B; 2027 “significantly above”). Also asserts ASML EUV output will grow ~30% for the next two years. Actionability: moderate—clear capex and supply/demand assertions with obvious ticker linkages (INTC, ASML), but lacks detail on margins/FCF impact, timing, and product mix.

Bloomberg segment highlights a new broad US tariff regime (10%–12.5% duties on imports from most major trading partners) after prior tariff structure was struck down by the Supreme Court. The show also flags: oil rebounding (Brent), a global tech selloff with Mag-7 weakness, ECB monitoring oil’s inflation impact, SAP in focus (CEO interview; stock gains), Volkswagen in focus (CFO interview), and Intel earnings beating estimates.

Bloomberg Daybreak Europe (7/24/2026) highlights: (1) US imposes new tariffs (10%–12.5%) across imports from ~60 economies, rebuilding Trump’s tariff wall after prior Supreme Court-related setback; (2) Trump threatens escalation of strikes on Iran and blames Iran for any further Houthi attacks in the Red Sea—raising energy supply risk; (3) Volkswagen cuts revenue expectations amid weak China sales; (4) risk-off tech tone: “Mag7 loses $797B” and “tech stocks are dumped”; (5) stock-specific beats/