๐ RELEASES & LAUNCHES
Salesforce and Nvidia introduce Koa reasoning model for enterprise tasks
Salesforce and Nvidia introduced Koa, an open-weight reasoning model for enterprise sales, marketing, and support tasks.- Koa targets Salesforce Agentforce customers building sales, marketing, and customer-support agents.
- The model is built on Nvidiaโs open-weight Nemotron and post-trained with synthetic customer-service and sales scenarios, without using customer data.
- Koa is offered as an alternative to frontier models such as Claude and ChatGPT, with token-efficient reasoning and enterprise data controls.
Sources ๐ Coverage: techcrunch.com ยท ๐ via TechCrunch AIUPDATE: ByteShape releases ShapeLearn GGUFs for Qwen3.8 27B
ByteShape released five ShapeLearn GGUF quants for Qwen3.8 27B.- The release targets local-model users running Qwen3.8 27B on consumer and workstation GPUs.
- The 3.84-bpw GPU-5 quant reaches 99.63% of BF16โs aggregate score across eight benchmarks; the 3.23-bpw GPU-4 reaches 98.72%.
- GPU-5 delivers 90.42 tokens per second on an RTX Pro 6000, while GPU-4 uses 11.0 GB versus GPU-5โs 13.1 GB.
- Every GGUF bundles an MTP draft head; DFlash2 delivers 1.34โ2.10ร baseline throughput but requires a separate 1.1 GB draft model and text-only use with llama.cpp.
- The release gives builders measured quality-throughput options across six GPUs instead of relying on bits-per-weight alone.
simplisafe-ai-doorbell โ The Verge AI
๐ฌ RESEARCH
- Slotstream adds expert lookahead for 11% faster MoE decoding on Mac
Slotstream added two-layer expert lookahead that raises Qwen3.8-Flash-Next decode throughput by 11%.- Targets low-memory Mac users running mixture-of-experts models with SSD expert streaming.
- The router forecasts experts two layers ahead while the GPU computes, achieving 1.11x throughput: 11.79 to 13.47 tokens/s.
- Tests used Qwen3.8-Flash-Next on a 48 GB M5 Pro with a 20 GB memory target and 12 held-out prompts.
- The feature is enabled by default with the draft head, reserves 373 MiB, and preserves identical output tokens.
๐ BENCHMARKS & EVALS
- Mozilla report: Chinese open models trail US frontier AI by 4.4 months
Mozilla found leading Chinese open models are 4.4 months behind US closed frontier models.- Organizations can use open models for routine work, while closed models target expert, retrieval, and long-context workloads.
- Moonshot AIโs Kimi K3 scored three points below Anthropicโs Fable 5 and costs 30% as much.
- Z.aiโs GLM 5.2 scored within one point of Claude Opus 4.7 and 4.8 on Terminal-Bench 2.1 at about one-fifth the cost per task.
- The report found eight of OpenRouterโs 10 most-used models by August token volume had open weights.
Sources ๐ Source: stateofopensource.ai ยท ๐ Coverage: arstechnica.com ยท ๐ via Ars Technica AI
๐ฐ BUSINESS & FUNDING
Profound raises $180M Series D at $1.8B valuation
Profound raised $180 million in Series D funding at a $1.8 billion valuation.- Profound serves brands and enterprises seeking visibility in AI search, including Comcast, Estรฉe Lauder Companies, and Walmart.
- The startup raised a $180 million Series D led by Sequoia and Kleiner Perkins, with existing investors participating.
- Profoundโs software helps companies analyze AI-driven brand discovery and create marketing strategies for generative and answer engines.
- Revenue grew 3x in six months, and the company now has more than 1,000 enterprise customers.
Sources ๐ Coverage: techcrunch.com ยท ๐ via TechCrunch AIMeta launches One bundles combining social subscriptions with AI access
Meta launched global One subscription bundles for consumers, creators, and businesses.- Individual users can choose Core at $7.99 per month or Premium at $19.99 per month.
- The bundles combine Instagram Plus, WhatsApp Plus, Facebook Plus, and additional Meta AI media generation.
- Creator and business plans range from $14.99 to $499 per month, adding verification, analytics, publishing tools, impersonation protection, and Meta Business Agent capacity.
- Meta says its core apps and Meta AI remain free, while the bundles consolidate paid app perks and expanded AI usage.
Sources ๐ Coverage: theverge.com ยท ๐ via The Verge AIAIUC raises $40M to certify enterprise AI agents
AIUC raised $40 million to audit and certify enterprise AI agents.- For enterprises and AI-agent makers, including Cursor, Lovable, Harvey, and ElevenLabs.
- AIUC raised a $40 million Series A led by Ribbit Capital, bringing total funding to $55 million.
- Its AIUC-1 standard tests agents across about 5,000 jailbreak, hallucination, and data-leak scenarios.
- AIUC produces roughly 100-page reports using AI-run tests and human-verified final audits.
- The certification layer gives buyers an independent assessment of agent safety and reliability.
Sources ๐ Coverage: techcrunch.com ยท ๐ via TechCrunch AI