@MichalKvasnica prý jedete do Mexika? Kdybyste hledal tipy, tak mrkněte na https://t.co/hbIbpRS2Vs. A na místě rád doporučím, která tequila je nejlepší. 🇲🇽⚽️
THE PHOTONICS ROTATION
Almost nobody is watching photonics.
As AI clusters scale, copper hits physical limits and the next bottleneck becomes optical infrastructure.
Here are 15 names positioned for it:
1. $LITE owns the laser + optical switching side of the trade and is one of the cleanest pure plays on AI optical demand.
2. $COHR wins from lasers, modules, and networking hardware that power hyperscale AI infrastructure and cloud expansion.
3. $AAOI is one of the best ways to play AI optical transceivers with major hyperscaler demand for 800G and 1.6T connectivity.
4. $SIVE benefits from the push toward faster semiconductor-to-optical integration as AI infrastructure scales.
5. $MRVL controls a huge part of the DSP + interconnect story with optical networking chips and high-speed connectivity.
6. $AVGO sits at the center of AI networking through switching, custom silicon, and optical interconnect demand.
7. $ANET is the Ethernet backbone moving massive AI workloads across hyperscale clusters and data centers.
8. $GLW supplies the specialty glass + fiber needed for the optical transport layer behind AI infrastructure.
9. $JBL benefits from building and scaling the actual hardware behind networking systems and optical modules.
10. $AEHR wins from burn-in + testing demand as AI ASICs and high-power optical hardware move into production.
11. $POET is focused on lower-cost optical engines designed to improve efficiency inside AI data centers.
12. $LWLG is pushing next-gen polymer photonics that could make optical communication faster and more efficient.
13. $QCLS brings exposure to advanced laser systems supporting precision photonics and next-gen optical demand.
14. $LPTH provides specialty optics and photonic components tied to industrial, defense, and AI-driven systems.
15. $ALAB gives exposure to the connectivity + infrastructure side helping AI clusters scale faster.
Most people won’t care until these are already up 100%.
Anthropic paga más de 750.000 $ al año para entender los LLMs.
Stanford ha publicado una conferencia de 2 horas que cubre el 80% gratis.
Puede ser lo más rentable que hagas este mes.
(Guárdalo, te servirá)
This 30-minute speech by the Head of Anthropic "Coding Agents" researcher will teach you more about vibe coding than 100 paid courses.
Bookmark it & give it 30 minutes today. This video will change the way you use AI forever,
@LudekMadl A pokud se vymění hlavní trenér a zbytek reaizáku zůstane stejný, tak čekáte nějaký rozdíl?
Zrovna u obrané fáze, bych čekal že to půjde z velké části za asákem.
@DestinaceFotbal Pro ty co se chystají do Mexika jsem připravil info, jak si to tam užít. Hlavně v Guadalajara, je to super město!
https://t.co/nz4y7M7k6v
@ceskarepre_cz Váháte nad cestou do Mexika na MS 2026 v Guadalajaře? Mexiko je bezpečné, plné zážitků a super dostupné – tady jsou tipy, jak si to užít: https://t.co/uRBRmG946N 🏟️🇲🇽 #MS2026#MagickéMexiko#JedemedoMexika
Proč AI generuje stále stejný design a jak to ve vašem projektu změnit? To je důležité téma - tak si ho uložte do záložek na později, protože je to opravdu podrobnější.
https://t.co/wvDqY3lwg3