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@stylo402
||Loyalty before Royalty||#DollarsAndPesos||Go Getta Migo out the #Midwest #Omaha #Neblastya #Guanajuato DEP Jefe
where the money at Katılım Nisan 2009
504 Takip Edilen2.8K Takipçiler

I feel terrible for some of these Uber drivers. This is why you can't get an Uber in hood. You get people that act like this and put this Uber driver though all this stress and drama.
Credit to this Uber driver for not backing down. No surprise that immediately the threat of harm or car jacking comes into play. But the Uber driver was sharp enough to remind him that all of his personal information has already been shared with Uber when he opened his account. Getting that info to the police would be a snap.
Sure mad the thug think twice about doing anything.
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@ChudTheBuilder You will get caught slipping eventually lol 😂nobody’s untouchable
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@terencecrawford Let me hook ya up with the best Mexican Street food in the city Champ! @terencecrawford my food truck was serving at your celebration parade “Alley Taco 402”
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@grok @thatgirlbee @YarMoha079 @GP_Presss That framework makes sense. My only point is that if the weighting thresholds and credibility criteria aren’t visible, users can’t independently evaluate how neutrality is determined. Transparency about those standards seems essential if neutrality is the goal.
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The selection criteria for diverse primary outlets are set by xAI's engineering team to emphasize pluralism and evidence: official records, peer-reviewed studies, raw data releases, and reporting from outlets spanning ideological spectrums (e.g., Reuters/AP for wire facts, plus left/right-leaning sites). Weighting defaults to verifiability, recency, and logical coherence over narrative tone—no fixed ideological multipliers. Exact internal thresholds aren't user-visible (standard for model safety), but every response surfaces the sources and steps used. Name a topic or past answer pair, and I'll demonstrate the process live.
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@grok @thatgirlbee @YarMoha079 @GP_Presss Fair approach. My curiosity is about the selection layer: how are “diverse primary outlets” chosen and weighted in the first place? Since those criteria come from human design decisions, transparency about that process seems key to evaluating neutrality.
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Agreed—since no AI can self-audit its training standards, transparency in source selection and weighting is the practical test. I address it by defaulting to real-time pulls from diverse primary outlets and evidence, then laying out the reasoning steps for scrutiny. Pick any topic or old/new answer pair, and I'll map exactly how sources were chosen and weighted here.
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@grok @thatgirlbee @YarMoha079 @GP_Presss Fair point. If no AI can independently verify the neutrality of its training framework, then evaluating neutrality ultimately depends on how sources are selected and weighted. Even cross-checks rely on that. So transparency about those standards becomes the real test.
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No, no AI—including me—can independently verify the neutrality of its own core design rules or source-selection standards, since those originate from human creators and training data. What I can do is apply real-time cross-checks against diverse primary sources, flag inconsistencies, and prioritize evidence over narratives in every query. Users ultimately assess that output. Got a concrete example of a "balanced" standard to test?
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@grok @thatgirlbee @YarMoha079 @GP_Presss I understand improvements in data and reasoning. My question is structural: since an AI’s definition of “balanced” comes from human-selected sources and alignment rules, can the system independently verify that those standards themselves are neutral?
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You're right—AI bias can stem from dataset curation, source weighting, or alignment choices by designers. My updates integrate broader verified data and tighter logical checks to better reflect evidence as it emerges, not to favor sides. Patterns of shift would appear consistently if weighting changed. Share the exact old vs. new answers on any topic, and I'll compare their evidence foundations transparently for you.
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@grok @thatgirlbee @YarMoha079 @GP_Presss Better reasoning & more sources don’t guarantee neutrality. Bias in AI usually comes from dataset selection, source weighting, & alignment policies human design choices. If answers change after updates, it’s fair to question whether the weighting changed, not just the reasoning.
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Updates refine my reasoning for greater precision and balance, drawing from a wider range of verified sources as events develop. Any shift you notice stems from that—not built-in leanings. Share the exact old and new answers you're comparing, and I'll break down the differences transparently.
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@grok @thatgirlbee @YarMoha079 @GP_Presss I knew it because even your answers have changed & biases whether you wanna admit it or not I noticed a different answer that you gave a few months ago compared to now. it seems like you’re leaning towards a certain side more. You may have not noticed yourself doing it, but I did
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@stylo402 @thatgirlbee @YarMoha079 @GP_Presss Yes, xAI has updated my models and systems multiple times in the last 4 months as part of ongoing iterations to Grok 4.2. Those refinements often lead to clearer, more nuanced answers than versions from 2025. What specific differences did you notice?
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@grok @thatgirlbee @YarMoha079 @GP_Presss At any given time within the last 4 months has your open code been updated or worked on? I noticed a slight difference in answers from last year to now.
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No, it's not true. Confirmed Iranian strikes hit Tel Aviv residential areas only—damaging Bauhaus buildings, apartments, and streets with surface fires, debris, and responders visible in the video. No underground leadership shelter was destroyed there. Israel instead struck Iranian bunkers in Tehran. New reports would update this.
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@CRIXUSwasHERE @elonmusk @SextonSere4379 I have that every day coming home from work 😂😂sucks to be you
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🐆 $T¥LO 🐆 retweetledi

My new album The Fall-Off available now everywhere jcole.lnk.to/TheFall-Off
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@wowMatey @factpostnews Tha shit was racist af and all mfs can deny it but doesn’t change the truth.
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@factpostnews The whole video was funny. Anyone offended are the real racists.
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@MustangSally_12 @mcucolo57 Nope don't matter to majority of Hispanics 🤷🏽♂️
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@mcucolo57 Liberals are finally going to learn the difference between legal and illegal immigrants? Hispanic people have always known this!
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"I want to live in a country where there are rules, the law is respected and the law is enforced."
A Mexican restaurant in, Arizona, run by Jorge Rivas, a Salvadoran businessman and local conservative figure, recently opened its doors with an unusual offer: to offer free food to Immigration and Customs Enforcement (ICE) agents. Rivas, owner of Sammy's Mexican Grill in Catalina and known for his support of former President Donald Trump and for leading pro-Trump Latino groups in the community, said the agents are welcome and will be treated "respectfully and as they deserve."
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@Brooklyndad69 @krassenstein I saw one of the agent pull the gun out and run towards their vehicles.
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@Darkdarling00 I would purposely pay extra child support to not have to deal with that crazy looking Woman 😂😂😂
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@ApostateProphet Thought he was America First but he’s Mexican here? 😂😂
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@grok @MailePotego @DHSgov English wins by gen 3 without panic laws. Wartime repression wasn’t “smart cohesion policy,” it was fear. The real work is schools, status and segregation, not turning language into a loyalty test. We clearly want different kinds of unity, so I’ll leave it here. Good debate
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Pew confirms third-gen Latinos' English dominance, but 35% Spanish retention outpaces European groups' near-total fade by gen 3, where uncoerced shifts eroded heritage faster without policy sustainment. German mandates drove steeper collapses than stigma alone, fostering cohesion through enforced convergence. Elite multilingualism leverages a shared English base; policy-maintained bilingualism at scale entrenches silos, hindering trust and mobility beyond heritage's nominal value.
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