All Tesla Diner parking spots have now been reserved for the @DinerDash2026 event and light show(s). Reservation holders have until Sept 1 to pay the reservation fee (see email) in order to secure the spot. Anyone else interested in reserving a spot, send a DM and we will place you on a wait list and start filling those after Sept 1. @Winespringcafe, @MrMoonBound, @NominalTesla, @chattybird0306, @teslacharging, @kneubuehl, @teslacowboy1, @stevehaag81, @Aaronjcash, @MarcusRenoStory, @LanceWade, @BLKMDL3, @laughingorgasm, @CyberAmped, @CO2Whoo, @Cybertruck0001, @cantcomeupwcoo1, @CyberOdysseyUSA, @Oceanswave, @LandonoftheWest, @john_x, @Treynor, @model3_LFP, @rafkin98, @_dk1, @BeardedTesla, @JiminColorado, @jacob_j33598, @ThTSLADude, @FthePump1, @xandersky, @joshwest247, @resilientrye, @its_ev_john, @summerz1Amy, @RimaSukhadia, @Man_Cave_Mike, @GWunderX, @teslamaryland, @TesLatino, @Sa_futurist, @MartyEarthy, @holtdotdj, @TeslaPatriot, @jc70769, @misterjr24, @UnpluggedTesla, @KristenStephens, @RayzorBEV

Model personality matters in a way that benchmarks can't capture. Opus models went through a rough patch from around 4.7 to 5 where they just didn't feel "Claude-y" anymore, more like an watered-down Fable (hmmm, teacher models?). Opus 5.5 feels like working with ol' Claude again

Model complexity and the KV cache are two primary drivers for memory, especially for inference requiring increasingly large context windows. Context windows for OpenAI’s leading models have risen 230-260X in three years to 1.05M tokens, while Meta’s Llama 4 Scout is 10X higher at 10M. $MSFT $AMZN $META $GOOG $MU