DataDragon

Tech enthusiast shaping tomorrow’s solutions. ‘The best way to predict the future is to create it.’ – Abraham Lincoln #Innovation #Sustainability”

[DataDragon @marclighter]

@ericosiu Most mid and large enterprises run on Microsoft.

[DataDragon @marclighter]

@askDinaDoll @CalltoActivism @Politics_PR We know how this usually turns out, but this time it will be different. I just know it.

[DataDragon @marclighter]

@dean_trent692 @NoLimitGains Yes!

[DataDragon @marclighter]

@kukicola @MiniMax_AI I know how you feel. Keeping up is exhausting.

[DataDragon @marclighter]

@DavidOndrej1 Maybe spend 15 more seconds writing one more sentence to explain why.

[DataDragon @marclighter]

@Alex4Changes @AlexFinn What models are you using for the intelligence?

[DataDragon @marclighter]

@AaronBeMoore @rstormsf It’s even harder if you try to use ollama or run it in a VM.

[DataDragon @marclighter]

@JoshExile82 @AlexFinn Can you provide more detail on what happened?

[DataDragon @marclighter]

@Togethr4Boulder @0xDegenForest @barkmeta Ask ChatGPT. It will tell you buyers in your area.

[DataDragon @marclighter]

@Reptoid_Hunter The $173 is for proof coins. Special mint with numismatic value. Highly collectible.

[DataDragon @marclighter]

@AlisonbobEth @DeryaTR_ @DrProton85 People will still die in accidents. And there are other planets, asteroids, and comets with plenty of resources.

[DataDragon @marclighter]

@hamza_automates How many iterations does it take to account for the shadow workflow? I imagine that there will always need to be a human in the loop for edge cases. At least for the foreseeable future.

[DataDragon @marclighter]

@Motion_Viz Gemini

[DataDragon @marclighter]

@damianplayer Agent

[DataDragon @marclighter]

@47paca @Chris8711 @futurism Agree to disagree.

[DataDragon @marclighter]

@coldemailchris Leads

[DataDragon @marclighter]

@47paca @Chris8711 @futurism Even if I were to acknowledge that the analogy may not be perfect, I believe the main point was overlooked. AI is still a nascent technology (essentially in its early developmental stage) and it will continue to improve rapidly as it matures. Do you disagree?

[DataDragon @marclighter]

@47paca @Chris8711 @futurism The analogy fits: dial-up to broadband wasn’t just “faster delivery”—it required fundamental protocol shifts (TCP/IP evolutions, always-on connections). AI’s “autocorrect” era demands the same: ditching statistical generation for causal reasoning architectures, not mere scale.

[DataDragon @marclighter]

@Chris8711 @futurism Remember that we are in the dial-up modem era of AI. Let’s see what it looks like in 10 years.

[DataDragon @marclighter]

@anything Excited to give “Anything” a whirl!