Hi Synapticians!

Honestly, yesterday was so insane that we had a hard time picking THE topic of the day! Between Genie 3, Claude Opus 4.1, and especially open source GPT... everything was getting us hyped!

Each announcement came with its own fascinating implications:

• Claude Opus 4.1: sure, it's an incremental improvement, but one that really makes a difference for developers

• Genie 3: a dizzying glimpse of what AI has in store for us in the coming months

• Open source GPT: now THIS is potentially revolutionary for both companies AND individuals who want to keep control over their data

And speaking of this open source GPT! OpenAI released not one, but TWO models:

• A beast with 120 billion parameters (okay, you need some serious infrastructure to run it)

• A "small" 20 billion parameter model that (get this) runs on my Mac Mini. And it's fast too!

Performance-wise, we're talking about a reasoning model that approaches o3. Yes, you read that right: reasoning capabilities close to o3, but open source!

On the technical side, we finally have an incredibly detailed paper explaining the entire model training process. The number that blew our minds? The pretraining (one of the model training stages) supposedly cost less than $500,000. For a model of this quality, that's... how should I put it... disruptive.

And the best part? The models are freely downloadable online! OpenAI even published practical guides to help you get started. No more excuses for not getting your hands dirty!

The real game changer is this 20B model. Just imagine the possibilities: fine-tuning on your company data, home experiments, ultra-specific use cases... Motivated developers are going to have a field day!

So yeah, you get it, we're completely hyped. Actually, we went to bed super late because we spent the night playing with OpenAI's new baby.

Here’s the rest of the news about AI today:

• Anthropic release Claude Opus 4.1, a minor LLM improvements over Claude Opus 4

• ElevenLabs extends its audio portfolio beyond voice with an AI music generator that can produce full tracks in virtually any style

• Cloudian’s new architecture collapses compute and object storage into a single layer

Top AI news

1. OpenAI's Impressive Open-Weight GPT-OSS Models
OpenAI’s first open-weight models ship under Apache 2.0, letting anyone fine-tune or deploy them commercially. The 120 B-parameter version sits just shy of the proprietary o4-mini on core reasoning benchmarks, while the 20 B model roughly matches o3-mini and can already run on a consumer laptop with 16 GB of RAM. Both checkpoints shine on STEM, coding, and knowledge-heavy tasks thanks to a training corpus heavily tilted toward those domains. Early adopters have loaded the 20 B locally via LM Studio, and larger providers like Cerebras or OpenRouter expose the 120 B over API; ports to llama.cpp and Ollama are on the way. Read online 🕶️

2. Anthropic's Claude Opus 4.1 Released
Anthropic’s newest flagship raises the ceiling on its hybrid architecture, narrowing the gap to the next GPT generation that OpenAI is rumoured to release. Version 4.1 brings higher context reliability, tighter reasoning + coding performance, and lower hallucination rates across enterprise evals. The rollout is widely read as Anthropic’s pre-emptive strike to anchor market share before GPT-5 arrives. Expect enhancements to Claude’s tool-use and retrieval-augmented generation to surface in the coming weeks. Read online 🕶️

3. ElevenLabs Launches AI Music Generator
ElevenLabs extends its audio portfolio beyond voice with an AI music generator that can produce full tracks in virtually any style—from indie rock riffs to reggaeton with Spanish rap vocals. Output is pre-cleared for commercial use, so creators can drop generated songs straight into videos, ads, or games without extra licensing hurdles. The system handles melody, harmony, percussion, and vocal synthesis end-to-end, lowering the bar for non-musicians to craft professional-sounding content. This launch positions ElevenLabs against startups like Suno and Udio in the fast-growing AI music space. Read online 🕶️

4. Cloudian: AI Storage Solution
Traditional tiered storage can bottleneck GPU clusters when millions of AI agents demand parallel, low-latency data access. Cloudian’s new architecture collapses compute and object storage into a single layer, piping data directly to GPUs/CPUs via integrated vector search and an NVIDIA partnership. By preprocessing and embedding data on the fly, it slashes transfer overhead and cuts inference cost for enterprises handling petabyte-scale corpora. Founder Michael Tso frames it as the storage backbone required to unlock high-throughput AI applications in fields from manufacturing analytics to drug discovery. Read online 🕶️

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