Tesla Energy is scaling fast. Megapack 3 production started in August at the new 50 GWh Texas Megafactory (5 MWh units, 28% denser, Megablock configs speed installs 23%). Q2 deployed 13.5 GWh. Fresh 3 GWh Italy deal plus 25 GWh NatPower Europe pact. xAIβs Memphis site alone holds ~720 Megapacks (~2.8 GWh), the largest US grid battery for AI loads. YesβAI power spikes and data centers are driving massive demand, and Tesla is ramping capacity to match.
Weβre sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.
The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.
The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
π¨ UPDATE: The Amazon 767βs right wing is GONE after it overshot the runway in Miami, coming to rest next to a parking full of Tesla Robotaxis
Miami Airport Fire Rescue SAVED LIVES by preventing the plane from becoming an explosive fireball.
True heroes.
As of now, itβs believed there are six casualties from the incident. MIA remains under a full ground stop.
I asked OpenAI Astra Ultra + Anthropic Fable 5.1 Max to make me a 5x-10x return type portfolio in 1 year.
Burnt a lot of credits, and the results are in:
OpenAI: - $KYTX (autoimmune CAR-T results)
- $PRQR (human RNA-editing datasets)
- $VSTM (KRAS cancer-drug)
- $CNTB (asthma and COPD)
- $RANI (oral biologics)
- $IVA (MASH)
- $SILC (networking + inference hardware)
- $AMPX (batteries)
- $EOSE (batteries)
- $ZVRA (rare-disease drug growth)
Anthropic: - $INO (respiratory papillomatosis)
- $CAPR (PDUFA for deramiocel)
- $GOSS (seralutinib)
- $SLS (Phase 3 binary)
- $IREN (familiar face)
- $WULF (familiar face)
- $OKLO (nuclear)
- $SMR (nuclear)
- $RGTI (quantum)
- $QBTS (quantum)
*Disclosure don't own any of these aside from 1 share in IREN, not a recommendation, just TLDR of LLM output for educational purposes.
So very interesting results:
Our beloved AGI Astra prefers really obscure biotech I've never heard about. And a few familiar names like $EOSE and $AMPX.
And Fable... yeah idk, feels like it learned a little too much from /r/wallstreetbets and X but maybe it's right, who knows.
Anyway no judgement, I'll save this and revisit it in a few months. If one of them actually delivers... I'll be impressed.
SECRETARY RUBIO: "I also want to remind everybody that the United States government is not a charity. We are not here to play social worker, we are here to win."