Happy Monday guys!
Below you’ll find a quick overview of what’s been happening in the AI industry since our last newsletter, and dont forget that you can also watch our news roundup on YouTube while sipping morning coffee ☕🤖
TIME Names “The Architects of AI” Person of the Year 🏆
NEWS OVERVIEW:
Every year, TIME crowns the person, group, or idea that most shaped the world—for better or worse. Past picks have been controversial by design, spotlighting influence over likability.
For 2025, TIME chose “The Architects of AI”, recognizing the leaders who pushed artificial intelligence from experimental hype into everyday reality. The honorees are:
🪜 Left → Right (as seen on the cover)
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Mark Zuckerberg — CEO, Meta
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Lisa Su — CEO, Advanced Micro Devices (AMD)
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Elon Musk — CEO, xAI / Tesla
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Jensen Huang — CEO, Nvidia
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Sam Altman — CEO, OpenAI
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Demis Hassabis — CEO, Google DeepMind
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Dario Amodei — CEO, Anthropic
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Fei-Fei Li — Co-Director, Stanford Human-Centered AI Institute / CEO, World Labs
This lineup reflects the illustration commissioned by TIME for their 2025 Person of the Year cover, placing the leading figures of the AI boom side-by-side to symbolize their collective impact.
WHY THIS MAY MATTER TO YOU:
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TIME’s rationale: 2025 wasn’t about AI experiments—it was about implementation. AI officially left the lab and moved into products, workflows, and daily decision-making.
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Exec buy-in just got louder. If TIME says AI defines the year, leadership conversations will follow.
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Competitive pressure increases. If you’re not testing AI in real workflows, you’re already behind.
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Author’s note: When AI goes from ‘research project’ to ‘Person of the Year’ in one calendar cycle. |
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🖼️ ChatGPT Gets a New Image Brain (And It’s Fast) ⚡
NEWS OVERVIEW:
On Dec 16, OpenAI quietly rolled out a new ChatGPT Images experience, powered by its flagship image model: Image Model 1.5 — now the default inside ChatGPT.
Context matters: in the previous episode, we talked about Gemini 3 → GPT-5.2, where GPT-5.2 pulled ahead on scientific reasoning and AGI-style benchmarks, while image generation still felt… very… intresting
This update changes the vibe. In Custom GPTs, the image model is 4× faster, supports simultaneous image generation, and dramatically lowers friction — perfect for “lazy” (read: efficient) creators who want usable visuals now, not after five retries.
WHY THIS MAY MATTER TO YOU:
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Faster b-roll workflows → less waiting, more publishing.
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One more image generation model with higher quality for any your ideas
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Signals OpenAI is closing the image gap, even if GPT-5.2 still leads elsewhere.
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Author’s note: NanoBanana VS ChatGPT 1.5 image… In my opinion it’s a DRAW. But Google definetely wins at naming models 😄 |
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🤖🧠 Big Tech Unites on Agentic AI Standards (Yes, Even Those Rivals)
NEWS OVERVIEW:
A new non-profit called the Agentic AI Foundation (AAIF) has officially launched under the umbrella of the Linux Foundation. Its mission: create open, shareable standards for agentic AI—autonomous systems that can reason, plan, and execute complex tasks with minimal human input.
The founding members lineup reads like an AI power rankings list: OpenAI, Anthropic, Microsoft, Google, and Block. By operating within the Linux Foundation’s established governance model, AAIF aims to avoid proprietary chaos and instead steer agentic AI toward interoperable, open standards.
In short: the companies racing to build AI agents are also agreeing on the rules of the road—before things get messy.
WHY THIS MAY MATTER TO YOU:
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Standards reduce risk: Open specs can prevent vendor lock-in as agentic AI moves into real business workflows.
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Faster enterprise adoption: Shared frameworks make it easier for teams to trust, test, and deploy autonomous agents.
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Signal of maturity: Agentic AI is moving from “cool demos” to infrastructure-level tech.
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Author’s note: AI Agents are everywhere… But somehow… I’m getting even more meetings in my calendar… |
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🤖 Europe Is Back?! Mistral Drops DevStral 2 for Local Vibe Coding
NEWS OVERVIEW:
When people talk AI competition, it’s usually framed as US vs China—with names like DeepSeek or Kimi dominating the China side of the convo. Europe? Often missing from the headlines.
That changed this month. French AI company Mistral AI quietly released DevStral 2, an open-source developer-focused model designed for local “vibe coding” via a CLI. No forced cloud dependency. No black-box mystery. Just fast, local, agentic-friendly coding workflows.
It’s a reminder that while the hype cycles may orbit the US and China, Europe is still very much in the game—and playing the open-source card aggressively.
WHY THIS MAY MATTER TO YOU:
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Open source wins dev trust: Full transparency + local control is a strong counter to closed models.
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Local-first AI: Ideal for teams worried about privacy, cost, or latency.
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EU positioning: Mistral continues to differentiate on openness rather than brute-force scale.
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“Vibe coding” trend: AI copilots are shifting from autocomplete to autonomous dev workflows.
That’s it for this week!
Stay tuned👋