Happy Birthday America, Land of the Free.
Don’t give up on the First, Second, Fourth, and Ninth Amendments.
They’re unique, and your freedom - and the worlds’ - depends on them.
10 WAYS TO PLAY ROBOTICS IN 2026
1. $TER tests AI chips & owns the cobots through Universal Robots
2. $NOVT precision photonics & motion inside surgical & industrial robots
3. $OUST eyes & perception for physical AI machines that need to see & map physical world
4. $HIMX provides vision & display chips that help robots process images, depth & sensor inputs at edge
5. $AMBQ low power edge AI layer for robots & devices that need intelligence without burning massive amounts of energy
6. $ON becomes physical AI edge stack after acquiring $SYNA combining power, sensing, connectivity & edge AI for robotics
7. $SYM warehouse automation pure play using robotics & software to redesign how goods move through fulfillment centers
8. $VPG sits in force sensing & precision measurement layer that helps robots understand pressure, weight & real world movement
9. $TSLA humanoid platform bet with Optimus combining custom hardware, AI inference, autonomy software & real world manufacturing scale
10. $CCXI gives public market exposure to Agility Robotics which is one of clearest pure play humanoid robotics companies through its Digit warehouse robot
Be SemiAnalysis:
- Post a scathing piece on CPO delays + optical company valuations, causing a crash.
Which $NVDA, analyst desks, and major optical companies refuted
- Launch an institutional photonics ETF after optical names dropped 40-60%.
Sadly, I lost my mother when I was 24. I’m 31 now and have achieved financial freedom, but she is no longer here to share in it or enjoy the life I’ve built.
Too much confusion about $META’s so called “excess compute.”
It doesn’t mean demand is declining.
You have to accept that most of the demand is concentrated at three big AI labs that have real consumer and B2B businesses—OpenAI, Anthropic, Google.
$META and $SPCX have excess compute because their AI businesses are yet to be competitive. What matters is whether the top 3 frontier labs can make productive use of extra compute. So far they achieved that as their revenues closely tracked their compute capacity.
Also look at the exploding inference demand from open-weight models and it’s not hard to see compute supply will remain tight for years.
Compute is like capital now. Somebody has capital but can’t deploy it productively doesn’t mean others can’t deploy it as well.
Long $META, long neoclouds.
You're a man. Act broke. Delete food delivery apps. Drive a modest car. Live in a cheap apartment. Keep a simple wardrobe. Ignore their judgment. Stack cash. Invest, invest, invest. Set yourself up for life.
🇲🇽 Mexico now has its own “Batman”: He hunts motorcycle thieves at night and duct-tapes them to poles
In Lagos de Moreno, Jalisco state, five men have already been found tied to lampposts. Some had their mouths taped, showed signs of beating, and stolen motorcycles were left next to them. Locals have dubbed the vigilante the “Mexican Batman.”
Police said that at this time the tied men are being treated as victims rather than criminals.
Probably the most bullish thing I’ve seen recently on the AI buildout.
Assuming 8% cost of capital, 30% operating margin and 5 years of depreciation, hyperscaler capex turns positive roughly at 1.7-1.8x revenue/D&A.
We are still far from there, but the progress is promising.