🔥 Someone Trained an LLM in Space This Year (And 50 Other Things You Missed)- ThursdAI yearly recap is here!

Key takeaways

2025 was the definitive year for AI agents, marking advancements in automation and efficiency.
Reasoning models gained traction, showcasing capabilities that exceeded previous benchmarks.
Chinese AI labs made significant contributions, with many leading releases in the open-source space.
AI-generated media quality reached new heights, with realistic representations becoming the norm.
Investments in AI were monumental, underscoring the booming economic landscape surrounding technology.
Google's comeback reestablished its dominance with innovative AI developments.

Summary

The Year of AI Agents

2025 marked a pivotal transformation with AI agents becoming a tangible reality. The launch of Claude Code initiated a CLI revolution, leading to widespread adoption of agentic tools, including ChatGPT Apps and the Atlas browser. This facilitated a new era of automation and efficiency, solidifying the claim that 2025 was indeed 'The Year of Agents.'

Reasoning Models Revolution

There's a noticeable shift toward reasoning as a core capability in AI. From DeepSeek R1 in January to GPT-5.2 in December, reasoning models showed transformative potential, enabling complex tasks such as multi-step reasoning and tool usage. This evolution emerged as a new benchmark for AI, with models now achieving high scores on math olympiads.

Chinese Labs Lead Open Source Innovation

Chinese AI labs excelled in the open-source arena, releasing models that competed with western counterparts. Notable releases included Qwen 3, MiniMax, and Kimi K2, demonstrating that despite restrictions, Chinese labs kept pushing boundaries, setting high-performance standards for open-source AI.

Crossing the Uncanny Valley in Media

AI-generated media, particularly with the release of VEO3, truly crossed the uncanny valley. High-fidelity audio and video qualities made AI-generated content almost indistinguishable from human creation. Tools like Nano Banana Pro showcased the potential for high-quality media generation, marking a significant leap forward in AI capabilities.

Affordable AI Investment Boom

Investment in AI reached unprecedented heights in 2025, with billion-dollar infrastructure projects and valuations skyrocketing. The sheer scale of financial commitments, such as $1.4 trillion in compute deals, underscored a rapidly evolving and expanding AI economy.

Google's Remarkable Comeback

After years of perceived stagnation, Google reclaimed its position at the forefront of AI technology, spearheading innovations like Gemini 3, Antigravity, and Nano Banana Pro. This resurgence highlighted Google's extensive resources and underlying technological framework, reinstating it as a primary player in AI development.

Show notes

Ho Ho Ho, Alex here! (a real human writing these words, this needs to be said in 2025)

Merry Christmas (to those who celebrate) and welcome to the very special yearly ThursdAI recap! This was an intense year in the world of AI, and after 51 weekly episodes (this is episode 52!) we have the ultimate record of all the major and most important AI releases of this year!

So instead of bringing you a weekly update (it’s been a slow week so far, most AI labs are taking a well deserved break, the Cchinese AI labs haven’t yet surprised anyone), I’m dropping a comprehensive yearly AI review! Quarter by quarter, month by month, both in written form and as a pod/video!

Why do this? Who even needs this? Isn’t most of it obsolete? I have asked myself this exact question while prepping for the show (it was quite a lot of prep, even with Opus’s help). I eventually landed on, hey, if nothing else, this will serve as a record of the insane week of AI progress we all witnessed. Can you imagine that the term Vibe Coding is less than 1 year old? That Claude Code was released at the start of THIS year?

We get hedonicly adapt to new AI goodies so quick, and I figured this will serve as a point in time check, we can get back to and feel the acceleration!

With that, let’s dive in - P.S. the content below is mostly authored by my co-author for this, Opus 4.5 high, which at the end of 2025 I find the best creative writer with the best long context coherence that can imitate my voice and tone (hey, I’m also on a break! 🎅)

“Open source AI has never been as hot as this quarter. We’re accelerating as f*ck, and it’s only just beginning—hold on to your butts.” — Alex Volkov, ThursdAI Q1 2025

🏆 The Big Picture — 2025 - The Year the AI Agents Became Real

Looking back at 51 episodes and 12 months of relentless AI progress, several mega-themes emerged:

1. 🧠 Reasoning Models Changed Everything

From DeepSeek R1 in January to GPT-5.2 in December, reasoning became the defining capability. Models now think for hours, call tools mid-thought, and score perfect on math olympiads.

2. 🤖 2025 Was Actually the Year of Agents

We said it in January, and it came true. Claude Code launched the CLI revolution, MCP became the universal protocol, and by December we had ChatGPT Apps, Atlas browser, and AgentKit.

3. 🇨🇳 Chinese Labs Dominated Open Source

DeepSeek, Qwen, MiniMax, Kimi, ByteDance — despite chip restrictions, Chinese labs released the best open weights models all year. Qwen 3, Kimi K2, DeepSeek V3.2 were defining releases.

4. 🎬 We Crossed the Uncanny Valley

VEO3’s native audio, Suno V5’s indistinguishable music, Sora 2’s social platform — 2025 was the year AI-generated media became indistinguishable from human-created content.

5. 💰 The Investment Scale Became Absurd

$500B Stargate, $1.4T compute obligations, $183B valuations, $100-300M researcher packages, LLMs training in space. The numbers stopped making sense.

6. 🏆 Google Made a Comeback

After years of “catching up,” Google delivered Gemini 3, Antigravity, Nano Banana Pro, VEO3, and took the #1 spot (briefly). Don’t bet against Google.

By the Numbers

Q1 2025 — The Quarter That Changed Everything

DeepSeek R1 crashed NVIDIA’s stock, reasoning models went mainstream, and Chinese labs took over open source. The quarter that proved AI isn’t slowing down—it’s just getting started.

Key Themes:

* 🧠 Reasoning models went mainstream (DeepSeek R1, o1, QwQ)

* 🇨🇳 Chinese labs dominated open source (DeepSeek, Alibaba, MiniMax, ByteDance)

* 🤖 2025 declared “The Year of Agents” (OpenAI Operator, MCP won)

* 🖼️ Image generation revolution (GPT-4o native image gen, Ghibli-mania)

* 💰 Massive infrastructure investment (Project Stargate $500B)

January — DeepSeek Shakes the World

(Jan 02 | Jan 10 | Jan 17 | Jan 24 | Jan 30)

The earthquake that shattered the AI bubble. DeepSeek R1 dropped on January 23rd and became the most impactful open source release ever:

* Crashed NVIDIA stock 17% — $560B loss, largest single-company monetary loss in history

* Hit #1 on the iOS App Store

* Cost allegedly only $5.5M to train (sparking massive debate)

* Matched OpenAI’s o1 on reasoning benchmarks at 50x cheaper pricing

* The 1.5B model beat GPT-4o and Claude 3.5 Sonnet on math benchmarks 🤯

“My mom knows about DeepSeek—your grandma probably knows about it, too” — Alex Volkov

Also this month:

* OpenAI Operator — First agentic ChatGPT (browser control, booking, ordering)

* Project Stargate — $500B AI infrastructure (Manhattan Project for AI)

* NVIDIA Project Digits — $3,000 desktop that runs 200B parameter models

* Kokoro TTS — 82M param model hit #1 on TTS Arena, Apache 2, runs in browser

* MiniMax-01 — 4M context window from Hailuo

* Gemini Flash Thinking — 1M token context with thinking traces

February — Reasoning Mania & The Birth of Vibe Coding

(Feb 07 | Feb 13 | Feb 20 | Feb 28)

The month that redefined how we work with AI.

OpenAI Deep Research (Feb 6) — An agentic research tool that scored 26.6% on Humanity’s Last Exam (vs 10% for o1/R1). Dr. Derya Unutmaz called it “a phenomenal 25-page patent application that would’ve cost $10,000+.”

Claude 3.7 Sonnet & Claude Code (Feb 24-27) — Anthropic’s coding beast hit 70% on SWE-Bench with 8x more output (64K tokens). Claude Code launched as Anthropic’s agentic coding tool — marking the start of the CLI agent revolution.

“Claude Code is just exactly in the right stack, right around the right location... You can do anything you want with a computer through the terminal.” — Yam Peleg

GPT-4.5 (Orion) (Feb 27) — OpenAI’s largest model ever (rumored 10T+ parameters). 62.5% on SimpleQA, foundation for future reasoning models.

Grok 3 (Feb 20) — xAI enters the arena with 1M token context and “free until GPUs melt.”

Andrej Karpathy coins “Vibe Coding” (Feb 2) — The 5.2M view tweet that captured a paradigm shift: developers describe what they want, AI handles implementation.

OpenAI Roadmap Revelation (Feb 13) — Sam Altman announced GPT-4.5 will be the last non-chain-of-thought model. GPT-5 will unify everything.

March — Google’s Revenge & The Ghibli Explosion

(Mar 06 | Mar 13 | Mar 20 | Mar 27)

Gemini 2.5 Pro Takes #1 (Mar 27) — Google reclaimed the LLM crown with AIME jumping nearly 20 points, 1M context, “thinking” integrated into the core model.

GPT-4o Native Image Gen — Ghibli-mania (Mar 27) — The internet lost its collective mind and turned everything into Studio Ghibli. Auto-regressive image gen with perfect text rendering, incredible prompt adherence.

“The internet lost its collective mind and turned everything into Studio Ghibli” — Alex Volkov

MCP Won (Mar 27) — OpenAI officially adopted Anthropic’s Model Context Protocol. No VHS vs Betamax situation. Tools work across Claude AND GPT.

DeepSeek V3 685B — AIME jumped from 39.6% → 59.4%, MIT licensed, best non-reasoning open model.

ThursdAI Turns 2! (Mar 13) — Two years since the first episode about GPT-4.

Open Source Highlights:

* Gemma 3 (1B-27B) — 128K context, multimodal, 140+ languages, single GPU

* QwQ-32B — Qwen’s reasoning model matches R1, runs on Mac

* Mistral Small 3.1 — 24B, beats Gemma 3, Apache 2

* Qwen2.5-Omni-7B — End-to-end multimodal with speech output

Q2 2025 — The Quarter That Shattered Reality

VEO3 crossed the uncanny valley, Claude 4 arrived with 80% SWE-bench, and Qwen 3 proved open source can match frontier models. The quarter we stopped being able to tell what’s real.

Key Themes:

* 🎬 Video AI crossed the uncanny valley (VEO3 with native audio)

* 🧠 Tool-using reasoning models emerged (o3 calling tools mid-thought)

* 🇨🇳 Open source matched frontier (Qwen 3, Claude 4)

* 📺 Google I/O delivered everything

* 💸 AI’s economic impact accelerated ($300B valuations, 80% price drops)

April — Tool-Using Reasoners & Llama Chaos

(Apr 03 | Apr 10 | Apr 17 | Apr 24)

OpenAI o3 & o4-mini (Apr 17) — The most important reasoning upgrade ever. For the first time, o-series models can use tools during reasoning: web search, Python, image gen. Chain 600+ consecutive tool calls. Manipulate images mid-thought.

“This is almost AGI territory — agents that reason while wielding tools” — A…

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