# Technology

#### Our algos spent the night splitting signal from noise and pulled the top news, models, papers, and repos.

Here’s the must-read:

| Summary                                                                                                                                                                                                                                                                                            |
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| Top News                                                                                                                                                                                                                                                                                           |
| [▸ OpenAI ships Codex update focused on reliable context for long coding sessions](https://openai.com/index/introducing-gpt-5-2-codex/?utm_source=alphasignal\&utm_campaign=2025-12-19\&lid=16By7yGc53vc4X7Uh)                                                                                     |
| Tiny Fish                                                                                                                                                                                                                                                                                          |
| [▸ Replace expensive browser agents with scalable web automation using Mino](https://bit.ly/4952RBq?lid=1EiHhpTTIwy3wE1HD)                                                                                                                                                                         |
| Top News                                                                                                                                                                                                                                                                                           |
| [▸ Google introduces a compact model for strict on-device API execution](https://blog.google/technology/developers/functiongemma/?utm_source=alphasignal\&utm_campaign=2025-12-19\&lid=10MZF76ErXE1Y6jUD)                                                                                          |
| Top Paper                                                                                                                                                                                                                                                                                          |
| [▸ Meta open-sources PE-AV, the engine behind SAM Audio’s separation quality](https://ai.meta.com/research/publications/pushing-the-frontier-of-audiovisual-perception-with-large-scale-multimodal-correspondence-learning/?utm_source=alphasignal\&utm_campaign=2025-12-19\&lid=XpfkF2Qz0gy9PGTE) |
| Signals                                                                                                                                                                                                                                                                                            |
| [▸ Anthropic adds Claude Code support as Chrome extension reaches all plans](https://claude.com/blog/claude-for-chrome?utm_source=alphasignal\&utm_campaign=2025-12-19\&lid=plObAK8Efjj2i4ev)                                                                                                      |
| [▸ Mistral releases OCR 3: beats enterprise OCR at 97% on real-world documents](https://mistral.ai/news/mistral-ocr-3?utm_source=alphasignal\&utm_campaign=2025-12-19\&lid=sY3RsoPkN38aqaA1)                                                                                                       |
| [▸ Anthropic makes Agent Skills an open standard for extensible agents](https://agentskills.io/home?utm_source=alphasignal\&utm_campaign=2025-12-19\&lid=MEcDpxHxk1LZoWHd)                                                                                                                         |
| [▸ OpenAI rolls out pinned chats in ChatGPT for faster access to conversations](https://x.com/openai/status/2001751306445430854?utm_source=alphasignal\&utm_campaign=2025-12-19\&lid=NeZVd6UCnWL7MA1)                                                                                              |
| [▸ Google launches video authenticity checks in the Gemini mobile app.](https://blog.google/technology/ai/verify-google-ai-videos-gemini-app/?utm_source=alphasignal\&utm_campaign=2025-12-19\&lid=UL5uQz3OQNlK5a5U)                                                                               |

| Top News                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |
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| OpenAI introduces GPT-5.2-Codex to retain task state across extended coding and terminal sessions                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               |
| ![Grok 4 Fast Benchmark](https://alphasignal.ai/image/1766147185403-wn2kou.png)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |
| <p>GPT-5.2-Codex introduces a focused update to OpenAI’s agentic coding stack, aimed at real software engineering rather than single-shot code generation.</p><p>Large repositories, failed attempts, and long terminal sessions expose a consistent weakness in earlier models.</p><p>GPT-5.2-Codex addresses this by optimizing GPT-5.2 for long-horizon work inside Codex, with native context compaction as the key technical change.</p><p>Context compaction means the model compresses prior steps while preserving intent, state, and decisions. This lets you run extended workflows without losing track of plans or exceeding context limits.</p><p>The result is a model that sustains reasoning across refactors, migrations, and iterative debugging.</p><p>It fits engineers who already rely on Codex for real development rather than short snippets.</p><p><strong>Key features</strong></p><ul><li>Native context compaction preserves task state across long, multi-step sessions</li><li>Stronger agentic behavior for refactors, migrations, and multi-file changes</li><li>More reliable tool calling and terminal control over extended workflows</li><li>Improved native Windows terminal support</li><li>Vision input for screenshots, diagrams, and design mocks</li></ul><p><strong>Results and benchmarks</strong></p><ul><li>SWE-Bench Pro accuracy: <strong>56.4%</strong>, above GPT-5.2 at 55.6%</li><li>Terminal-Bench 2.0 accuracy: <strong>64.0%</strong>, above GPT-5.2 at 62.2%</li></ul> |
| <table data-header-hidden><thead><tr><th align="center"></th></tr></thead><tbody><tr><td align="center"><a href="https://openai.com/index/introducing-gpt-5-2-codex/?utm_source=alphasignal&#x26;utm_campaign=2025-12-19&#x26;lid=16By7yGc53vc4X7Uh">TEST REFACTORS</a></td></tr></tbody></table>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               |

| Presented by Tiny Fish                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               |
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| What would you build if any website could be an API?                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |
| [![alpha\_signal\_image\_1](https://alphasignal.ai/image/1766160963167-b7kusj.png)](https://bit.ly/4952RBq?lid=1EiHhpTTIwy3wE1HD)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |
| <p>An app that finds urgent care availability in real time. A service that monitors government RFP portals for new contracts. A tool that pulls live menu prices from local restaurants.</p><p>Most of the web isn’t covered by APIs. The useful parts live behind forms, logins, and dynamic interfaces built for humans, not code. Mino is a web agent API that gives you programmatic access to that missing 95%.</p><p>You send natural language instructions. Mino runs the work across websites and returns structured results.</p><p>Unlike general-purpose browser agents like Claude Computer Use, Gemini 2.5 Flash, ChatGPT Atlas, Mino runs multiple jobs in parallel and is designed for scale.</p><p>It’s faster, cheaper, and more reliable for production workloads that depend on live web data.</p> |
| <table data-header-hidden><thead><tr><th align="center"></th></tr></thead><tbody><tr><td align="center"><a href="https://bit.ly/4952RBq?lid=1EiHhpTTIwy3wE1HD">START BUILDING NOW</a></td></tr></tbody></table>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |

| Top News                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
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| Google releases FunctionGemma, a 270M on-device model that boosts function-calling accuracy from 58% to 85%                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         |
| ![Grok 4 Fast Benchmark](https://alphasignal.ai/image/1766155419994-1wjwpf.png)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
| <p>oogle ships FunctionGemma after months of feedback from developers who want models that act, not just reply.</p><p>Edge agents exist, but prompt-based function calling often breaks, emits invalid JSON, or fails offline. Google addresses this gap with a 270M Gemma 3 variant that encodes function calling directly into the model weights.</p><p>The key result stands out: accuracy rises from <strong>58% to 85%</strong> on the Mobile Actions benchmark after fine-tuning.</p><p>FunctionGemma treats “function calling” as structured API execution, not text tricks. A function equals a predefined action with a name and typed arguments, expressed as strict JSON.</p><p>The model learns to output that structure reliably. This design matters on-device, where latency, memory, and privacy block cloud calls.</p><p>You use FunctionGemma when you own a fixed API surface and need deterministic behavior. You fine-tune it on instruction–action pairs, then deploy it locally or place it in front of larger models.</p><p><strong>Key features and results</strong></p><ul><li>Encodes function calling in weights, not prompts or post-processing</li><li>Improves Mobile Actions accuracy from <strong>58% to 85%</strong> after fine-tuning</li><li>Runs at <strong>270M parameters</strong> on phones and Jetson Nano-class devices</li><li>Uses a <strong>256k vocabulary</strong> to shorten JSON and multilingual sequences</li><li>Available on <strong>Hugging Face</strong> and <strong>Kaggle</strong> for download and fine-tuning </li></ul> |
| <table data-header-hidden><thead><tr><th align="center"></th></tr></thead><tbody><tr><td align="center"><a href="https://blog.google/technology/developers/functiongemma/?utm_source=alphasignal&#x26;utm_campaign=2025-12-19&#x26;lid=10MZF76ErXE1Y6jUD">DOWNLOAD IT NOW</a></td></tr></tbody></table>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             |

| Top Paper                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
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| Meta publishes PE-AV as open-source, foundational model supporting SAM Audio’s audio separation                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |
| ![Grok 4 Fast Benchmark](https://alphasignal.ai/image/1766156353692-a4bul4.png)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |
| <p>Meta open-sources <strong>Perception Encoder Audiovisual (PE-AV)</strong>, the multimodal encoder that powers SAM Audio.</p><p>Audio, video, and text models usually live apart, which forces teams to stitch systems together. PE-AV starts from a simple idea: learn one shared representation that understands all three at once.</p><p>Meta builds PE-AV on its earlier Perception Encoder and extends it to audio. The model trains with contrastive learning, which pulls matching audio, video, and text closer in embedding space while pushing mismatches apart.</p><p>Meta scales this setup across <strong>ten</strong> modality and caption pairings and trains on <strong>\~100M</strong> audio-video pairs with synthetic captions covering speech, music, and sound effects.</p><p>This design produces a single encoder that works across tasks without task-specific heads.</p><p><strong>Key features</strong></p><ul><li>Unified audio-video-text embeddings from one encoder</li><li>Ten contrastive objectives across modality and caption pairs</li><li>Synthetic captions at scale across multiple audio domains</li></ul> |
| <table data-header-hidden><thead><tr><th align="center"></th></tr></thead><tbody><tr><td align="center"><a href="https://ai.meta.com/research/publications/pushing-the-frontier-of-audiovisual-perception-with-large-scale-multimodal-correspondence-learning/?utm_source=alphasignal&#x26;utm_campaign=2025-12-19&#x26;lid=XpfkF2Qz0gy9PGTE">TEST THE CODE</a></td></tr></tbody></table>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |

| Signals                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
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| <table data-header-hidden><thead><tr><th width="90.57879638671875" valign="top"></th><th valign="top"></th></tr></thead><tbody><tr><td valign="top">1</td><td valign="top"><a href="https://claude.com/blog/claude-for-chrome?utm_source=alphasignal&#x26;utm_campaign=2025-12-19&#x26;lid=plObAK8Efjj2i4ev">Anthropic expands Claude in Chrome to all paid tiers and adds full Claude Code integration</a></td></tr><tr><td valign="top">2</td><td valign="top"><a href="https://mistral.ai/news/mistral-ocr-3?utm_source=alphasignal&#x26;utm_campaign=2025-12-19&#x26;lid=sY3RsoPkN38aqaA1">Mistral introduces OCR 3, a faster, cheaper, higher-fidelity model for broad enterprise document pipelines</a></td></tr><tr><td valign="top">3</td><td valign="top"><a href="https://agentskills.io/home?utm_source=alphasignal&#x26;utm_campaign=2025-12-19&#x26;lid=MEcDpxHxk1LZoWHd">Anthropic open-sources Agent Skills as a universal standard for sharing capabilities across agent systems</a></td></tr><tr><td valign="top">4</td><td valign="top"><a href="https://x.com/openai/status/2001751306445430854?utm_source=alphasignal&#x26;utm_campaign=2025-12-19&#x26;lid=NeZVd6UCnWL7MA1">OpenAI presents pinned chats, enabling quick access to important conversations on all platforms</a></td></tr><tr><td valign="top">5</td><td valign="top"><a href="https://blog.google/technology/ai/verify-google-ai-videos-gemini-app/?utm_source=alphasignal&#x26;utm_campaign=2025-12-19&#x26;lid=UL5uQz3OQNlK5a5U">Google adds SynthID-powered video verification to Gemini, detecting AI-generated audio and visuals</a></td></tr></tbody></table> |
