Models & research

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Gemini

01Models & research

Oct 16, 20262 min read

Apertus 1.5 Adds Native Multimodal Tokens, Thinking Mode, and 262K Context

Swiss AI released Apertus 1.5 in 8B and 70B parameter sizes under the Apache 2.0 license, introducing native image and audio processing alongside a chain-of-thought thinking mode. The release expands the context window to 262,144 tokens while publishing full training data receipts, intermediate checkpoints, and standardized evaluation cards.

04Models & research

Oct 8, 20262 min read

Google Ships EmbeddingGemma 2: Open Apache-2.0 Multimodal Embeddings for Local Code Search

DeepMind released EmbeddingGemma 2, a 740M-parameter multimodal embedding model under the Apache 2.0 license. It unifies code, text, image, audio, and video representations into a single vector space with an 8K token context window.

09Models & research

Oct 8, 20262 min read

OpenAI Retracts Three Math Manuscripts After Sign Error Breaks Proof Chains

OpenAI has withdrawn three algebraic geometry manuscripts and patched 14 others after uncovering a sign error in a core trace cancellation proof. The incident reveals that only 42% of the project's 719 top-line results are formally verified in Lean, demonstrating why automated reasoning pipelines cannot rely purely on natural-language mathematical arguments.

10Models & research

Oct 7, 20262 min read

NVIDIA Shares Nemotron Olympiad Post-Training Recipe and GenCorrect Inference Loop

NVIDIA published its post-training methodology and released Nemotron checkpoints that achieved gold-medal thresholds at IOI 2026 and IMO 2026. The release includes the GenCorrect generate-evaluate-refine search loop and training data on Hugging Face.

03Models & research

Oct 4, 20262 min read

Aleph Alpha Releases Kolibri: 78B Mixture-of-Experts Model Optimized for European Languages

Aleph Alpha released Kolibri, an Apache 2.0 open-weight model with 78.1B total parameters and only 3.46B active per token. Featuring a custom UniBPE tokenizer, it cuts token counts for compound languages like German while matching frontier context scales.

03Models & research

Oct 1, 20262 min read

Gemini 4 Argon Delivers 1M Output Tokens and Deep Code Migrations

Google announced Gemini 4 Argon, a frontier reasoning model featuring an unprecedented 1 million output token limit. Designed for long-horizon engineering and autonomous refactoring, it introduces 95% prompt caching discounts and sets new state-of-the-art benchmarks in SWE tasks.

Start with the basics

Gemini

01Models & research

Oct 16, 20262 min read

Models & research

Start with the basics

Apertus 1.5 Adds Native Multimodal Tokens, Thinking Mode, and 262K Context

Google Ships EmbeddingGemma 2: Open Apache-2.0 Multimodal Embeddings for Local Code Search

OpenAI Retracts Three Math Manuscripts After Sign Error Breaks Proof Chains

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NVIDIA Shares Nemotron Olympiad Post-Training Recipe and GenCorrect Inference Loop

Aleph Alpha Releases Kolibri: 78B Mixture-of-Experts Model Optimized for European Languages

Gemini 4 Argon Delivers 1M Output Tokens and Deep Code Migrations

Models & research

Start with the basics

Apertus 1.5 Adds Native Multimodal Tokens, Thinking Mode, and 262K Context

Google Ships EmbeddingGemma 2: Open Apache-2.0 Multimodal Embeddings for Local Code Search

OpenAI Retracts Three Math Manuscripts After Sign Error Breaks Proof Chains

One sponsor per issue

NVIDIA Shares Nemotron Olympiad Post-Training Recipe and GenCorrect Inference Loop

Aleph Alpha Releases Kolibri: 78B Mixture-of-Experts Model Optimized for European Languages

Gemini 4 Argon Delivers 1M Output Tokens and Deep Code Migrations

Start with the basics

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