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Salesforce and Nvidia introduce Koa reasoning model for enterprise

Salesforce and Nvidia launch Koa for enterprise agents, Mozilla tracks the US-China model gap, and Profound raises $180M for AI search visibility.

๐Ÿš€ 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 Nvidiaโ€™s 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 ๐Ÿ“Ž Coverage: techcrunch.com ยท ๐Ÿ‘ via TechCrunch AI
  • UPDATE: 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 BF16โ€™s 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-5โ€™s 13.1 GB.
    • Every GGUF bundles an MTP draft head; DFlash2 delivers 1.34โ€“2.10ร— 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.
    Sources ๐Ÿ“„ Source: huggingface.co ยท ๐Ÿ“Ž Coverage: byteshape.com ยท ๐Ÿ‘ via r/LocalLLaMA
  • simplisafe-ai-doorbell โ€” The Verge AI

๐Ÿ”ฌ 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.
    Sources ๐Ÿ“„ Source: github.com ยท ๐Ÿ“Ž Coverage: reddit.com ยท ๐Ÿ‘ via r/LocalLLaMA

๐Ÿ“Š 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 AIโ€™s Kimi K3 scored three points below Anthropicโ€™s Fable 5 and costs 30% as much.
    • Z.aiโ€™s 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 OpenRouterโ€™s 10 most-used models by August token volume had open weights.
    Sources ๐Ÿ“„ Source: stateofopensource.ai ยท ๐Ÿ“Ž Coverage: arstechnica.com ยท ๐Ÿ‘ via Ars Technica AI

๐Ÿ’ฐ 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.
    • Profoundโ€™s 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 ๐Ÿ“Ž Coverage: techcrunch.com ยท ๐Ÿ‘ via TechCrunch AI
  • Meta 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 ๐Ÿ“Ž Coverage: theverge.com ยท ๐Ÿ‘ via The Verge AI
  • AIUC 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 ๐Ÿ“Ž Coverage: techcrunch.com ยท ๐Ÿ‘ via TechCrunch AI

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