Future Dubai AI Police

Last week in ai

Launch on a riveting journey in this week’s “Last Week in AI” as we unravel the velocity narrative of GPT-4, the monumental strides of DALL·E 3 in AI imagery, the mirage of Arrakis in the quest for efficiency, the legal crescendo in AI’s copyright conundrum, transparency tally unveiling AI’s report card, and Dubai’s futuristic AI guard patrolling residential precincts. This narrative is a kaleidoscope, reflecting the multi-faceted developments in the AI sphere. Through this lens, readers will traverse through the technical, ethical, and legal avenues, understanding the impact and significance each holds in the contemporary digital era.

GPT-4’s Velocity

Latency Chronicles

GPT-4 is on a speed spree, narrowing the latency divide with GPT-3.5. It’s a narrative of steady progression, with GPT-4’s latency witnessing a consistent dip over recent months. A high token count, contrary to popular belief, doesn’t translate to a lag in response. The median request latencies showcase a remarkable consistency across both models, firmly standing under 1 ms per token. Yet, the show-stealer is the 99th percentile, displaying more than a 50% cut in latencies in a mere trimester. It’s a leap, not a step, towards real-time AI interactivity. 🚀

Delving into Latency Dynamics

  • Round Trip Time: A significant slice of the latency pie, impacting the request’s round-trip voyage.
  • Queuing Time: The silent influencer, dictating the wait before the process ignition.
  • Processing Time: The heart of the matter, where GPT-4 is trimming the fat, honing its speed.

Real-World Relevance

The latency topic isn’t just a tech jargon; it’s a crucial pivot steering user satisfaction in real-time applications. This narrative isn’t merely a gaze into GPT-4’s speed evolution; it’s a blueprint of how this speed saga significantly molds user experience in the fiercely competitive digital arena. Through the latency lens, we’re not just observing an AI’s speed metamorphosis; we’re getting a front-row seat to the unfolding of a new AI era.

DALL·E 3: A Giant Leap in AI Imagery

Unprecedented Imagery Capabilities

OpenAI rolls out DALL·E 3 in ChatGPT Plus and Enterprise, marking a significant stride in AI imagery. This powerhouse can craft unique visuals from plain conversations, enabling users to fine-tune the images further. The prowess of DALL·E 3 surpasses its predecessor, offering visually captivating and sharper images. Its knack for rendering intricate details like text, hands, and faces is noteworthy, especially when fed with detailed prompts.

Safety and Ethical Measures 🛡️

OpenAI isn’t blind to potential misuse. A robust multi-tiered safety system curtails DALL·E 3’s ability to churn out harmful imagery—be it violent, adult, or hateful content. They’ve also dialed down on generating imagery mimicking living artists, public figures, and have amped up demographic representation in the visuals.

  • Feedback Loop: Users can flag unsafe or inaccurate outputs, aiding OpenAI’s continuous effort to refine DALL·E 3’s safety net.

What’s in Store for Readers?

Dive into the mechanics of DALL·E 3, explore its enhanced image generation capabilities, and understand the ethical guardrails OpenAI has installed to prevent misuse. This narrative shines a light on the evolution of AI in creating visually compelling content while ensuring a safer digital space for all.

Arrakis: A Mirage in the AI Desert

The Quest for Efficiency

OpenAI’s venture, Arrakis, inspired by the desolate planet from “Dune,” aimed to fuel AI applications like ChatGPT affordably. However, efficiency expectations led to its early retirement this year. Models powering ChatGPT are costly, demanding hefty compute power from giants like Microsoft, Amazon, and Google.

Financial Horizon 📈

OpenAI’s CEO, Sam Altman, eyes a meteoric rise to $1.3 billion in annual revenue, a leap from $28 million in 2022.

  • Competitive Landscape: Google’s impending Gemini model and an upcoming AI safety summit pose fresh challenges for OpenAI.


This narrative not only explores the technical escapade but also the business dynamics and emerging competitive arena in the AI landscape.

Litigation Beats: AI in the Copyright Crossfire

The Legal Crescendo

Universal Music Group, among others, has hit Anthropic with a lawsuit over Claude 2’s distribution of copyrighted lyrics. The AI, when prompted, belts out lyrics strikingly similar to chart-toppers like Katy Perry’s “Roar” and others. The plaintiffs cry foul, alleging unauthorized distribution and training on copyrighted tunes.

The Copyright Conundrum 🎶

The suit underscores the tension between generative AI and copyright norms. It alleges Anthropic could curtail such distributions, pointing to Claude 2’s selective response to certain prompts.

  • AI’s Copyright Dance: Anthropic’s saga highlights the broader challenge of navigating copyright waters in AI’s musical endeavors.

Engrossing Insights Await

This narrative tunes into the legal, ethical, and technological notes that compose the ongoing copyright symphony in the AI arena.

Transparency Tally: AI’s Report Card Unveiled

The Transparency Index

Eminent researchers from Stanford, MIT, and Princeton unfurled the 2023 Foundation Model Transparency Index. It’s a meticulously crafted ledger with 100 indicators dissecting transparency across three domains: upstream, model, and downstream.

Open vs Closed: The Transparency Spectrum 📊

Open models, with freely accessible weights, are the vanguards of transparency. Among them, Meta’s Llama 2 and Hugging Face’s BLOOMZ outshine, rivaling even the best closed model.

  • Transparency Deficit: Closed developers lag, chiefly due to veiled upstream elements like data, labor, and compute resources.

Navigating Through the Index

This exposition unveils the transparency landscape of foundation models. Grasp the variance between open and closed models, and understand the concerted push towards more transparent, equitable AI realms. This is a deep dive into the heart of AI transparency, illuminating the path towards a more open AI ecosystem.

The Future Patrol: Dubai’s AI Guard

Robo-Patrol Unveiled

Dubai Police debut a self-driving patrol vehicle, marrying eco-friendliness with advanced surveillance tech in residential precincts. The electric sentinel boasts 15-hour battery life, cruising at 5 to 7 kilometers per hour.

Technological Vanguard 🤖

Embedded with 360-degree cameras and facial recognition, this patrol vehicle isn’t just a roving eye but a smart safety net.

  • Real-Time Vigilance: Links with the Command Center, recognizing faces, decoding license plates, and detecting potential criminal acts.

Aerial Ally

A drone partner extends the patrol’s reach, wirelessly tethered for coordinated surveillance, covering ground and air.

Insightful Expedition

Dive into Dubai’s innovative stride towards automated neighborhood watch, exploring the fusion of AI and autonomous mobility in law enforcement. Unravel how this tech-marriage reshapes community safety, setting a precedent in modern policing.


  1. What significant leap has GPT-4 made in the realm of latency? GPT-4 has been on a remarkable speed spree, narrowing the latency divide with GPT-3.5, exhibiting more than a 50% reduction in the 99th percentile of latencies, a stride towards real-time AI interactivity. 🚀
  2. How has DALL·E 3 enhanced image generation? DALL·E 3, now rolled out in ChatGPT Plus and Enterprise, marks a significant upgrade in AI imagery, crafting unique visuals from plain conversations and rendering intricate details with much higher precision.
  3. Why was OpenAI’s Arrakis project shelved? The quest for a more affordable engine for AI applications like ChatGPT hit a roadblock with Arrakis, due to unmet efficiency expectations, necessitating its early retirement.
  4. What’s the essence of the lawsuit against Anthropic regarding copyrighted lyrics? Anthropic faces legal heat for its AI model, Claude 2, allegedly distributing copyrighted lyrics and possibly using them for training, reflecting the broader challenge of navigating copyright norms in AI’s musical endeavors. 🎶
  5. What insights does the 2023 Foundation Model Transparency Index provide? The index, crafted by eminent researchers, dissects the transparency landscape of foundation models, spotlighting the transparency vanguard role of open models like Meta’s Llama 2 and Hugging Face’s BLOOMZ.
  6. How does Dubai’s self-driving patrol vehicle contribute to community safety? This eco-friendly sentinel, equipped with advanced surveillance tech, introduces a new era of automated neighborhood watch, enhancing safety through real-time vigilance and coordinated aerial surveillance. 🤖


We’ve navigated through diverse AI narratives—from GPT-4’s speed strides to DALL·E 3’s visual mastery, the legal riddle around Anthropic, transparency in AI, to Dubai’s tech-infused patrol. Each tale sheds light on the profound impact and the ethical, legal, and technical intricacies enveloping AI.

Moreover, the discourse around copyright norms and transparency underscores AI’s complex societal interplay. As we forge ahead, delving deeper into these discussions is crucial for harnessing AI responsibly.

Curious about leveraging these AI advancements for your enterprise? Discover what Vease can do for your business in this evolving digital realm. For more AI insights, visit our blog. Missed last week’s updates? Catch up here.

Craving even more insight? Don’t miss the YouTube video below by Matt Wolfe, the founder of FutureTools.

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