Scrim's World

o3, Gemini 2.0, and Dell's AI PC

Rise and Shine. Scrim, the scrappy 17-pound mutt of New Orleans, is living proof that not all heroes wear capes—some just leap out of second-story windows. This runaway terrier-turned-local-legend has evaded an army of volunteers equipped with tranquilizers, thermal cameras, and tactical nets, inspiring tattoos, ballads, and a devoted hashtag: #FreeScrim. His escapades, part Wile E. Coyote, part Houdini, have united a city, turning dog hunts into community-building events. But while fans champion his "life of self-determination," rescuers like Michelle Cheramie insist the streets of NOLA are no place for this furry fugitive. For now, Scrim keeps running, stealing hearts—and maybe a nap under the occasional raised house.

Top Stories

OpenAI Unveils o3, Pushing AI Boundaries with New Reasoning Model

OpenAI capped its “shipmas” event with the introduction of o3, a new reasoning model it claims edges closer to artificial general intelligence (AGI)—albeit with caveats. o3 is a model family, featuring o3 and o3-mini, designed to perform intricate tasks with enhanced accuracy.

Unlike traditional AI, reasoning models like o3 fact-check themselves, improving reliability in complex domains like physics and mathematics. OpenAI introduced adjustable “thinking time,” allowing users to optimize performance based on computational resources. Yet, o3 isn’t flawless; early tests reveal lingering issues like occasional errors in basic tasks.

The AGI debate gained steam as o3 achieved an 87.5% score on the ARC-AGI benchmark at high compute settings, surpassing its predecessor by a significant margin. However, critics like François Chollet highlight o3's struggles with simpler tasks, emphasizing its divergence from true human intelligence.

Despite skepticism, o3 shattered benchmarks in programming and advanced mathematics, including a near-perfect score on the 2024 American Invitational Mathematics Exam. These results, though impressive, stem from OpenAI’s internal evaluations, leaving external scrutiny pending.

Interestingly, the announcement arrives amid heightened competition in reasoning models, with rivals like Google and Alibaba launching challengers. As the reasoning model race accelerates, Alec Radford, one of OpenAI’s lead scientists, has announced his departure, adding intrigue to the company’s future.

OpenAI’s o3 promises groundbreaking advances but also raises questions about cost, scalability, and safety—keeping the debate on AI’s ultimate potential alive.

Google Unveils Experimental Reasoning Model, Gemini 2.0 Flash Thinking

Maxwell Zeff

Google has launched Gemini 2.0 Flash Thinking Experimental, a reasoning AI model designed to tackle complex problems in fields like programming, math, and physics. Currently in the experimental phase and accessible through Google’s AI Studio, the model is a step toward improving AI's ability to reason and self-correct.

Unlike traditional AI models, Gemini 2.0 employs a process of pausing and evaluating prompts before responding. This “thinking time” helps it avoid common AI pitfalls but comes at the cost of slower response times. While the model shows promise, it’s far from perfect. In a simple test, it incorrectly counted the letters in “strawberry,” highlighting areas for improvement.

Google joins a growing list of companies diving into reasoning models, spurred by OpenAI’s o1. Competitors like DeepSeek and Alibaba have also entered the space, driven by the limitations of scaling traditional AI. Logan Kilpatrick, head of AI Studio product, calls Gemini 2.0 “the first step” in Google’s reasoning journey.

However, these models face hurdles. They’re computationally expensive, and experts question whether the performance gains justify the costs. Google has over 200 researchers working on reasoning technology, signaling its commitment despite skepticism.

For now, Gemini 2.0’s potential is intriguing, but it’s clear the reasoning model race is just beginning.

Michael Dell Looks Ahead as AI Shapes PCs and Servers

Errich Petersen—SXSW Conference & Festivals via Getty Images

Michael Dell remains confident about the future of AI-enabled PCs, even as adoption lags behind expectations. Speaking ahead of CES, the Dell CEO admitted corporate PC refresh cycles are “delayed” but maintained that it’s only a matter of time before new features compel upgrades. “It’s not if, but when,” he said, underscoring Dell’s strategy of adding innovations like neural processing units (NPUs) to enhance AI capabilities, battery life, and security.

Dell’s AI-enabled PCs also integrate tools like Microsoft Copilot, which he believes are essential for corporate leaders making tech decisions. “Not having an AI PC would be a mistake,” Dell asserted, emphasizing customer enthusiasm for the technology.

While AI PCs are a work in progress, Dell’s infrastructure solutions are surging. Revenue for AI server sales jumped 80% last quarter, driven by partnerships like Elon Musk’s xAI and its Colossus supercomputer. Dell’s servers, packed with Nvidia AI chips, are powering cutting-edge projects globally, including “sovereign AIs” tailored for specific countries’ cultural and security needs.

“Every nation wants its own AI, reflecting its values and language,” Dell said, adding that the global AI race aligns perfectly with Dell’s expertise in data, computing, and networking. “We didn’t create this game, but you need our stuff to make it work.”

For Dell, whether it’s data centers or PCs, the future of AI remains an opportunity to lead. “We’re the biggest and best at this,” he said. “This is our job.”

Google’s NotebookLM Gains Interactive Features and a Premium Tier for 2025

Google is enhancing NotebookLM, its AI-powered podcast generator, with new features that make it more interactive and customizable. The standout addition is a “join” feature, allowing users to participate in conversations with the AI hosts, asking questions and receiving real-time responses. This feature, alongside other updates, positions NotebookLM as a leader in AI-driven research tools.

NotebookLM, available through Google Labs, simplifies complex topics by creating AI Audio Overviews from uploaded documents, websites, podcasts, and videos. These summaries are delivered in the form of natural-sounding podcast-style conversations between two AI hosts, a feature that has set NotebookLM apart from competitors.

Recent updates include a refreshed interface with three main sections: a Sources bar for managing input, a ‘Notebook guide’ for generating overviews, and a Chat window for user interactions. Users can now customize their Audio Overviews with a new “Customize” button, specifying areas of focus, such as emphasizing specific chapters or themes.

The updates also integrate Google’s Gemini 2.0 model, boosting the tool’s performance. The ability to join ongoing AI conversations, rolling out now, brings an engaging twist to the platform.

Looking ahead, Google plans to launch NotebookLM Plus in early 2025, a premium tier offering expanded capabilities, including the ability to create five times more overviews and customize response lengths and styles.

With these innovations, NotebookLM is redefining AI-powered learning and podcasting, promising an exciting 2025 for its users.

Gif of the day


More Interesting Reads…

Insight of the day…

Artificial intelligence will reach human levels by around 2029.

Ray Kurzweil