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CAR CUSTOMIZATION

officialragingluv

1,934 subscribers

1,380,025 次观看 • 5 天前 •via X (Twitter)

Anya Rossi• Live Now

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38 条评论

MrStec 的头像

MrStec5 天前

So it’s a combination of gta 5,4 and San Andreas….

officialragingluv 的头像

officialragingluv5 天前

It’s everything that they’ve learned from the past 20 years of making games

MrStec 的头像

MrStec5 天前

Making good ass games…now we need to see gun customisation.

CantThinkOfAUser 的头像

CantThinkOfAUser5 天前

is that a skyline?!

officialragingluv 的头像

officialragingluv5 天前

Yes

Diego_Kluge𒉭 的头像

Diego_Kluge𒉭5 天前

No wayyy 🥹

Horny Police 的头像

Horny Police5 天前

Hope the cars aren’t speed capped like in 5 at least 300kmh speed cap Also I knew that the elegy retro custom would be rebranded to Elegy RH5 or well 90s elegy it’s no longer a conversion that good

officialragingluv 的头像

officialragingluv5 天前

I’m pretty sure they won’t be capped the next gen ssd’s are more than capable

Horny Police 的头像

Horny Police5 天前

Yeah I hope hype cars would be able to finally achieve 400+kmh coz in gta 5 u drive the (wich is supposed to be a Bugatti veyron) adder only at 220kmh instead of 400

zvx7 的头像

zvx75 天前

@ragingluvYT 120mph max prob

Horny Police 的头像

Horny Police5 天前

@ragingluvYT Hope not 😭😭

OhMrZvck 的头像

OhMrZvck5 天前

the cars still sound god awful lol

Que 的头像

Que5 天前

Ngga is that pretty Ricky 😭

jpeg.jxv 的头像

jpeg.jxv5 天前

There’s Pretty Ricky songs ?!?!? OMG I’m never leaving the house.

d 的头像

d5 天前

Kinda lame the turbo doesn’t actually get installed into the engine bay when you add it on

hazrd 的头像

hazrd5 天前

That car detail with the engine moving While pretty Ricky in the background

Ludwig von Albrecht 的头像

Ludwig von Albrecht5 天前

I just can't believe they would use the same sounds as gta 5 shit didnt even sound good

Olumide 的头像

Olumide5 天前

pretty ricky ricky rickyyyy

brookster 的头像

brookster5 天前

Yoo the elegy retro custom looks even more like a gtr now wtaf?!

Grimm Low 的头像

Grimm Low5 天前

This reminds me of midnight club😩

Mark klagenberg 的头像

Mark klagenberg5 天前

Feels like the best of gta 5,s customization and need for speed heats customization with a bit of San Andreas

ひ的头像

ひ5 天前

They added pretty ricky lmao makes sense they from FL

402Transparency 的头像

402Transparency5 天前

i hate this kind of hud it looks like madden ffs

Elijah Buena 的头像

Elijah Buena5 天前

Hearing On the Hotline in the game made me happy!!!

Ethan 的头像

Ethan5 天前

Engine upgrades are throwing me back to midnight club

ꀸꍟꀭꍏꍟ 的头像

ꀸꍟꀭꍏꍟ5 天前

Ngl its low key giving midnight club vibes just updated 🔥

Jay Bladz 的头像

Jay Bladz5 天前

I got $1k band first day race win takes all

ellanut 的头像

ellanut5 天前

sounds like shit and looks like shit

Dani 的头像

Dani5 天前

This is actually amazing

JayDontloveyew 的头像

JayDontloveyew5 天前

GTA6?

Omnissiah 的头像

Omnissiah5 天前

GTA is miles ahead of Forza 6.

Throwin' it back epstein file style 的头像

Throwin' it back epstein file style5 天前

is that it?????????

Red 的头像

Red5 天前

Yoo is this song really in the game ?

#1 Ruggs Stan 的头像

#1 Ruggs Stan5 天前

the ui so bad 🤦‍♂️

AFBch 的头像

AFBch5 天前

isn't ts paywalled now?

Robert king 的头像

Robert king5 天前

I can’t wait to see this game finished and polished on a ps5 pro

berkant 的头像

berkant5 天前

@AlphuSCS !!!!

ً 的头像

ً5 天前

@Elezski @Spoookr

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How is Arbaaz, CEO of making AI models that continue to learn from your business data and continue to grow? He is working with car dealerships now, but growing to other businesses soon. Here is what Grok says you will learn from this video: +++++ By watching this podcast episode, viewers will gain insights into how AI is being practically applied in business, particularly in niche industries like car dealerships, while also exploring broader AI concepts, challenges, and future implications. Here's a breakdown of the main takeaways: AI Customization for Businesses: Learn how Polycom Computing builds specialized AI models that continuously train on a company's real-time data and workflows, acting as "companions" rather than generic tools. This contrasts with foundational models from companies like OpenAI or Anthropic, which struggle to adapt to specific "worlds" without losing efficiency. The focus is on personalization to avoid wasting attention, intelligence, and money. Pivoting AI Strategies for Revenue Growth: Understand the shift from cost-cutting (e.g., automating call centers) to revenue-increasing applications. Urba explains why targeting high-value tasks like sales in car dealerships creates defensible moats, as opposed to commoditized cost reductions. This includes automating complex funnels—from lead submission to financing—while ensuring compliance with regulations and seamless integration with existing teams. Scalable AI Agents in Practice: Discover how AI agents must learn autonomously (e.g., adapting to different CRMs, processes, and preferences across dealerships) to avoid becoming non-scalable consulting services. Key challenges include creating "glue" between humans and AI, avoiding hard-coded rules, and using web actions to integrate siloed software like Dealer Management Systems (DMS). Boosting Sales with AI Techniques: Gain knowledge on tactics like rapid response (replying within 5 minutes boosts conversion 22x), creating natural "disfluencies" (typos, emojis, jokes) for human-like communication, managing after-hours leads, and educating customers without pushing sales. Pilots showed 50% sales increases by handling unanswered leads (70% go ignored), qualifying buyers, and maintaining conversation threads. Multi-Agent Systems and Proactive AI: Explore the difference between reactive Q&A models and proactive agents with agency—they predict, act, and update based on goals. Building these systems reveals bottlenecks (e.g., overwhelming businesses with leads), leading to solutions like AI buying cars or linking sales/service arms. Urba discusses how AI plateaus without personalization, risking model collapse or equilibrium where gains cancel out. Technical Deep Dives into AI Development: Get explanations of advanced concepts like real-time RLHF (Reinforcement Learning from Human Feedback) for continuous improvement, coherence (maintaining logical consistency across outputs), dynamic tokenization for new abstractions, and evaluating models (e.g., avoiding memorization over reasoning, energy limits in scaling). Viewers see a demo of their platform for tasks like quant strategies, presidential analysis, and training runs. Selling and Adopting AI in Traditional Industries: Learn how to pitch AI to non-tech audiences (e.g., car dealers) by focusing on results—more money, fewer bottlenecks, centralized dashboards—rather than jargon. Emphasize empathy: make owners feel smart, reduce reliance on salespeople, and return control via AI-managed customer databases. Broader AI Implications and Misconceptions: Understand why AI won't create a "machine god" that eliminates all jobs—it's bound by physics (e.g., energy needs), expands economies (like the Industrial Revolution), and requires human perspectives for true advantage. AI enhances productivity, creates new roles, and democratizes power, but risks arise from misuse, not inherent agency. Urba stresses proactive defense through widespread AI proficiency. Overall, the episode bridges entrepreneurial stories, technical AI mechanics, and real-world applications, making it valuable for entrepreneurs, AI enthusiasts, and business owners curious about integrating AI without hype. It's a candid look at building scalable, impactful AI beyond buzzwords.

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59,714 次观看 • 1 年前