The Open Science section of the Cohere Blog features real-world use cases of Tiny Aya, showcasing projects people have built with open multilingual AI, as well as how Co/plot supports research workflows through visualization. The related articles were published on July 14 and June 3, respectively.
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Cohere and PwC have entered into a partnership to jointly accelerate secure enterprise AI adoption. Cohere previously partnered with OpenText to bring trusted agentic AI to government and regulated industries, and established collaborations with the University of Waterloo, the University of Toronto, and Mila. Cohere announced its Partner Program on October 7, 2025, to advance enterprise AI development.
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The manufacturing section of the Cohere blog brings together two articles: "Five Ways to Modernize Manufacturing with AI" introduces AI use cases, benefits, and implementation considerations in manufacturing, while "The Future of Intelligent Operations: Manufacturing and Supply Chains" focuses on manufacturing and supply chain scenarios.
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Cohere has launched North 2, positioned as an enterprise-grade, no-compromise AI product. Cohere also lists model and product lines including North, Compass, Command, Transcribe, North Small Translate, Parse, Embed, and Rerank, as well as the Model Vault dedicated model inference platform and private deployment options for on-premises or isolated VPC environments.
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The Cohere Blog financial services feature brings together multiple enterprise AI articles, including the August 15 piece "Building AI Agents in Finance: Reshaping Financial Services," the July 3 piece "The AI Advantage: How Financial Institutions Can Win with AI," and the June 3 piece "AI in Finance: Addressing Compliance, Efficiency, and Scale." It also covers banking AI terminology, 6 reasons banks choose private AI deployment, financial AI use cases and benefits, and the topic of de-risking the path from pilot to profitability.
The Cohere Blog financial services feature brings together multiple enterprise AI articles, including the August 15 piece "Building AI Agents in Finance: Reshaping Financial Services," the July 3 piece "The AI Advantage: How Financial Institutions Can Win with AI," and the June 3 piece "AI in Finance: Addressing Compliance, Efficiency, and Scale." It also covers banking AI terminology, 6 reasons banks choose private AI deployment, financial AI use cases and benefits, and the topic of de-risking
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ElevenLabs Blog has published a contact center automation guide, explaining how AI can handle customer service processes with minimal human intervention, and presents three ElevenAgents deployment cases: Klarna achieved up to 10x faster resolution for 35 million US users, Rohlik's Maia automatically handles 90% of customer communications, and Getmobil achieved a 75% first-contact resolution rate and a 60% cost reduction.
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Alibaba Cloud's Qwen series began with Tongyi Qianwen in April 2023, open-sourced Qwen-7B in August 2023, launched the first Qwen3-Max-Preview with over 1 trillion parameters in September 2025, and ultimately evolved to an open-weight model with 2.4 trillion parameters. In 2024, three generations—Qwen1.5, Qwen2, and Qwen2.5—were released in succession; Qwen2.5's pre-training data grew from 7 trillion to 18 trillion tokens, and model downloads exceeded 40 million. In 2025, Qwen3 adopted a hybrid thinking mode, covering 119 languages, and Qwen3-Next-80B-A3B claims training costs of only 10% of Qwen3-32B and 10x higher inference throughput above 32K tokens.
Alibaba Cloud's Qwen series began with Tongyi Qianwen in April 2023, open-sourced Qwen-7B in August 2023, launched the first Qwen3-Max-Preview with over 1 trillion parameters in September 2025, and ultimately evolved to an open-weight model with 2.4 trillion parameters. In 2024, three generations—Qwen1.5, Qwen2, and Qwen2.5—were released in succession; Qwen2.5's pre-training data grew from 7 trillion to 18 trillion tokens, and model downloads exceeded 40 million. In 2025, Qwen3 adopted a hybrid
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TechCrunch reviewed more than ten AI agents that require no app download and interact directly via text message, covering general-purpose assistants as well as specialized products for home, travel, content creation, and work. These agents can remember context, connect to existing apps, and complete tasks on users' behalf, such as scheduling appointments, booking restaurants, sending emails, and shopping online. The article also lists each product's launch date, funding situation, and subscription price, such as Instinct raising $1 billion at a $10 billion valuation in September 2026, Fambot securing $3.5 million in pre-seed funding, and Town completing a $55 million Series A round.
TechCrunch reviewed more than ten AI agents that require no app download and interact directly via text message, covering general-purpose assistants as well as specialized products for home, travel, content creation, and work. These agents can remember context, connect to existing apps, and complete tasks on users' behalf, such as scheduling appointments, booking restaurants, sending emails, and shopping online. The article also lists each product's launch date, funding situation, and subscripti
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AI assistant Instinct saw its valuation rise from $2.5 billion to $10 billion in less than two months, with its Series C led by Sequoia Capital, Benchmark, and Coatue, and only 14 full-time employees. Founder Noah Shinn is 23 years old, dropped out of college, published the Agent paper Reflexion at NeurIPS as first author, and later joined Sierra as a research scientist. Instinct uses authorized permissions for email, calendar, credit cards, and more to book tickets, shop, cancel subscriptions, and negotiate insurance for users via text message or phone instructions; users spend an average of more than $1,300 per month through it, but its excessive permission requests have also sparked privacy controversy.
AI assistant Instinct saw its valuation rise from $2.5 billion to $10 billion in less than two months, with its Series C led by Sequoia Capital, Benchmark, and Coatue, and only 14 full-time employees. Founder Noah Shinn is 23 years old, dropped out of college, published the Agent paper Reflexion at NeurIPS as first author, and later joined Sierra as a research scientist. Instinct uses authorized permissions for email, calendar, credit cards, and more to book tickets, shop, cancel subscriptions,
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AI startup Photon has closed a $4.5 million seed round, co-led by Gradient and A*, with participation from Vercel, Sequoia China and others. The company helps developers build agents on messaging platforms such as iMessage and WhatsApp, and has attracted more than 40,000 developers to sign up, with revenue growing 10x in four months and message volume up 5x last month. Its hosted platform offers 99.95% availability and has achieved SOC 2 Type II and HIPAA compliance certification.
AI startup Photon has closed a $4.5 million seed round, co-led by Gradient and A , with participation from Vercel, Sequoia China and others. The company helps developers build agents on messaging platforms such as iMessage and WhatsApp, and has attracted more than 40,000 developers to sign up, with revenue growing 10x in four months and message volume up 5x last month. Its hosted platform offers 99.95% availability and has achieved SOC 2 Type II and HIPAA compliance certification.
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Cerebras proposes the concept of "latency debt": model parameters have grown from 340M in BERT-Large to over 1T in Kimi-k2, the share of inference tokens has risen from under 10% to over 50%, context has expanded from about 1,000 tokens in GPT-2 to 10 million tokens, input length has doubled every year and output has tripled, causing latency to accumulate continuously. Cerebras says its Wafer-Scale Engine (WSE) keeps data on-chip, eliminating the memory bandwidth bottleneck of GPU inference, and OpenAI has already purchased 750 MW of compute from it.
Cerebras proposes the concept of "latency debt": model parameters have grown from 340M in BERT-Large to over 1T in Kimi-k2, the share of inference tokens has risen from under 10% to over 50%, context has expanded from about 1,000 tokens in GPT-2 to 10 million tokens, input length has doubled every year and output has tripled, causing latency to accumulate continuously. Cerebras says its Wafer-Scale Engine (WSE) keeps data on-chip, eliminating the memory bandwidth bottleneck of GPU inference, and
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In a podcast after OpenAI DevDay, Ari Weinstein, who is in charge of the Computer Use agent, responded to Dwarkesh's doubts about Computer Use progressing slowly, saying it is now completely different from a few months ago because the model has become better at debugging and retrying, and can write JavaScript to execute multiple steps at once while combining screenshots, accessibility, DOM, and Playwright. He also mentioned that Dots provides each Dot with a cloud Linux virtual computer, and that Computer Use has entered the Agents API. Nikunj Handa, head of the OpenAI API team, introduced updates to GPT-6 such as asynchronous tool calling, mid-turn steering, WebSockets, UltraFast inference, prompt caching and pre-warming, and compaction, and said the Decisions API is based on Luna weights, with no new model trained, and took only about a week from the emergence of the idea to a prototype.
In a podcast after OpenAI DevDay, Ari Weinstein, who is in charge of the Computer Use agent, responded to Dwarkesh's doubts about Computer Use progressing slowly, saying it is now completely different from a few months ago because the model has become better at debugging and retrying, and can write JavaScript to execute multiple steps at once while combining screenshots, accessibility, DOM, and Playwright. He also mentioned that Dots provides each Dot with a cloud Linux virtual computer, and tha
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The Verge reports that OpenAI and Meta plan to use cute software agents in the coming year to pave the way for physical AI hardware. OpenAI unveiled its agent platform Dots at DevDay and is partnering with former Apple designer Jony Ive; public documents show the hardware could ship as early as February 2027. Meta, meanwhile, has tied its recently released Muse agent directly to a pendant-style device called Muse Charm, which it plans to launch before this year's holiday shopping season. Both companies hope to first get users accustomed to and dependent on agents, then guide them toward accepting physical forms.
The Verge reports that OpenAI and Meta plan to use cute software agents in the coming year to pave the way for physical AI hardware. OpenAI unveiled its agent platform Dots at DevDay and is partnering with former Apple designer Jony Ive; public documents show the hardware could ship as early as February 2027. Meta, meanwhile, has tied its recently released Muse agent directly to a pendant-style device called Muse Charm, which it plans to launch before this year's holiday shopping season. Both co
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On the Anshun section of the Shanghai-Kunming Expressway, a vehicle with assisted driving enabled rear-ended a large truck at night; when the system signaled disengagement, it was less than 10 meters from the vehicle ahead, leaving the driver no time to take over. The article reviews similar cases in Binzhou, Shandong, and on the Jiqing Expressway, noting that all mass-produced vehicles on the market are legally L2-level assisted driving, that the Supreme People's Court has made clear the driver remains the responsible party after activating the system, and that automakers need only prove they issued a warning and disengaged to be exempt from liability. Two mandatory national standards for intelligent connected vehicles taking effect in 2027 require L3 systems to give drivers at least 10 seconds to respond after issuing a takeover request, otherwise triggering a deceleration and pull-over to a stop.
On the Anshun section of the Shanghai-Kunming Expressway, a vehicle with assisted driving enabled rear-ended a large truck at night; when the system signaled disengagement, it was less than 10 meters from the vehicle ahead, leaving the driver no time to take over. The article reviews similar cases in Binzhou, Shandong, and on the Jiqing Expressway, noting that all mass-produced vehicles on the market are legally L2-level assisted driving, that the Supreme People's Court has made clear the driver
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Anthropic's Thariq Shihipar introduced the next phase of Claude Code on the Latent Space podcast, including Claude Mods for customizable harnesses, Projects, Claude Tag, and recent releases such as Opus 5.5 and Sonnet 5.5. He calls prompting the core skill for using Claude Code, recommending that users first spend time filling in context and allocate effort by task—for example, high or maximum for code review and security, and low or medium for UI-type tasks. He also discussed agent security, including sandboxing, prompt injection, Auto Mode, and Anthropic's "Pacing the Frontier" position.
Anthropic's Thariq Shihipar introduced the next phase of Claude Code on the Latent Space podcast, including Claude Mods for customizable harnesses, Projects, Claude Tag, and recent releases such as Opus 5.5 and Sonnet 5.5. He calls prompting the core skill for using Claude Code, recommending that users first spend time filling in context and allocate effort by task—for example, high or maximum for code review and security, and low or medium for UI-type tasks. He also discussed agent security, in
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On Amazon SageMaker AI, deploy two endpoints using the same AWS vLLM-Omni DLC image: a real-time endpoint running FLUX.2-klein-4B to generate images, and an asynchronous endpoint running Wan2.1-VACE-1.3B for image-conditioned video generation. A text prompt first generates a PNG, which is then sent along with a motion prompt to the video endpoint; the generated MP4 is retrieved from Amazon S3, and the example also provides a command-line workflow and an optional Streamlit interface.
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