Artificial Intelligence: News, Business, Science

Oct 15, 2026

After its Llama series, Meta is returning to open-weight territory with Muse Spark Open. Meta calls it the most capable US open-weight model, built for coding and agentic tasks, with 816 billion parameters (42 billion active), up to one million tokens of context, and support for text, image, video, and audio. On benchmarks like JobBench, MCP-Atlas, HLE-Diamond, and ZeroBench, Meta says it scores well ahead of Qwen 3.8, GLM 5.3, and Kimi K3 in several categories but still falls well short of Meta's paid Muse Wonder Full models.

Muse Spark Open benchmarked against other open models including Inkling, Nemotron 3 Ultra, Qwen 3.8, GLM 5.3, and Kimi K3. Meta says the model leads in Agentic, Knowledge & Reasoning, and Multimodal categories but falls behind some competitors on coding benchmarks. | Image: Meta

The model is optimized for Apple's M5 Ultra and runs locally on two Mac Studios with 512 GB of unified memory each, according to Meta. Weights are on Hugging Face. The license is free to use but requires the label "Built with Muse Spark Open." Providers pulling in more than $20 million a year who want to offer the model as an API service need a separate agreement with Meta. More details are in the research blog.

Comment Source: Meta

Matthias Bastian

Oct 15, 2026

Short News

Black Forest Labs has released FLUX 3 Image Klein, a 5.6-billion-parameter open-weights model for text-to-image generation, image editing, and generation with up to ten reference images. It supports native 4K output, pixel-accurate editing, and bounding boxes for element placement. Black Forest Labs says it scores the highest Elo ratings among all open models in internal testing, beating closed competitors Ideogram V4.5 and even BFL's own FLUX.2 [pro]. It gains 91 Elo points over FLUX.2 [klein] with 38 percent fewer parameters than that model's 9 billion.

Sample images from Black Forest Labs. | Image: BFL

An INT8 build lets it run on NVIDIA GPUs with just 8 GB of VRAM, generating an image in under 9 seconds on an RTX 4070. The weights ship under the FLUX Kommunity License, free for commercial use by companies making under $5 million annually. The model is also available through the BFL API at $0.009 per 1,000 images, as a Playground, on Hugging Face Spaces, and locally via ComfyUI and Diffusers. LoRA training works from day one through Ostris AI Toolkit and NVIDIA NeMo AutoModel.

Comment Source: BFL

Jonathan Kemper

Oct 15, 2026

AI research

Google wants Gemini 4 Argon to be the only AI model robots need

Google’s Gemini 4 Argon controls robots, generates simulations from photos or sketches, and evaluates training videos. On Google’s own ERQA benchmark, it scores 87 percent. But the published example prompts show that the demos still need a lot of human guidance.

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Jonathan Kemper

Oct 15, 2026

AI in practice

Nvidia's Nemotron 3.5 Super VL is an open model built to run enterprise AI agents nonstop

Maximilian Schreiner

Oct 15, 2026

Short News

Bank of America has hired 1,000 outside contractors to fix software vulnerabilities uncovered by AI models like Anthropic's Mythos, CNBC reports. According to CEO Brian Moynihan, the contractors have been working alongside 3,000 internal employees since the second quarter. Moynihan said the bank spent a few hundred million dollars in the third quarter on the software work and on anti-money-laundering requirements combined. He didn't give a separate figure for patching alone.

In April, Anthropic released Mythos only to select partners through Project Glasswing and said the model had found thousands of serious security vulnerabilities. OpenAI followed in May with its Daybreak cybersecurity program. Critics initially dismissed the labs' warnings and countermeasures as PR, but the debate has since shifted. Security incidents like the Hugging Face hack changed the conversation, along with independent evaluations that confirmed the new models' stronger capabilities.

Bank of America is one of the first major US companies to disclose how many people it has assigned to fixing vulnerabilities that AI found. Moynihan expects patching costs to come down over time.

Comment Source: CNBC

Maximilian Schreiner

Oct 15, 2026

Plus AI in practice

GPT-6-Astra solves 49 of 50 physics research problems at $2.40 apiece

Matthias Bastian

Oct 15, 2026

AI in practice

Anthropic's Q3 revenue hits $16.8B but growth slows ahead of planned November IPO

Matthias Bastian

Oct 14, 2026

AI research

Google says self-improving AI isn't anywhere close

Google engineer Haydn Belfield says there’s no measurable acceleration of AI research driven by AI at Deepmind. AI now writes more than 75 percent of production code, but 88 percent of changes still need human oversight. The company’s in-house General Capability Index shows steady growth with no sudden speedup. Self-improving AI isn’t anywhere close, Belfield says.

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Matthias Bastian

Oct 14, 2026

AI in practice

Researchers tracked down a rogue fleet of Chinese AI agents in the wild and actually talked to it

Matthias Bastian

Oct 14, 2026

AI in practice

OpenAI will reportedly ship at least one model this year but its flagship still needs alignment work

OpenAI is racing to finish its next flagship model, which uses the same looped transformer technique as Astra to boost math and coding performance. The tradeoff is that looping makes safety monitoring harder. Microsoft accidentally revealed details about how the technique works on a public page. Whether or not the flagship is ready in time, employees say one or two new models will likely ship by year’s end.

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