look like an engineer downloading Google=E2=80=99s Antigravity= IDE on their work laptop without waiting for security review, or a teammat= e using Claude Code from their terminal while the official tooling request = sits in procurement limbo. Shadow AI poses security threats to organizations=E2=80=94and expands the o= verall attack surface for data breaches and sensitive information leaks. Ac= cording to Netskope=E2=80=99s 2026 [Cloud and Threat Report](https://www.ne= tskope.com/resources/cloud-and-threat-reports/cloud-and-threat-report-2026?= utm_medium=3Demail&utm_source=3Dnewsletter&utm_campaign=3DAugust-2025), the= three categories of data most involved in AI data policy violations over t= he past year were source code (42%), regulated data (32%), and intellectual= property (16%). For example, [Samsung discovered](https://mashable.com/art= icle/samsung-chatgpt-leak-details?utm_medium=3Demail&utm_source=3Dnewslette= r&utm_campaign=3DAugust-2025) that its proprietary semiconductor data was l= eaked through internal engineering use of ChatGPT to check source code, opt= imize code, and record meeting notes for a presentation. Without the right guardrails and oversight, shadow AI will continue to outg= row organizational tooling and systems, further putting data at risk. Wheth= er you manage AI tools within an organization or use them yourself, address= ing the risk of shadow AI keeps [business and customer data safe](https://w= ww.digitalocean.com/resources/articles/ai-and-privacy?utm_medium=3Demail&ut= m_source=3Dnewsletter&utm_campaign=3DAugust-2025&utm_source=3Dmarketo&utm_m= edium=3Demail&utm_campaign=3Dai-newsletter-jan-2nd-edition&utm_content=3Dsh= adow-ai-article). How to keep shadow AI at bay For developers, be an advocate, not a rogue agent. Test new tools on person= al devices, document the productivity gains, and bring a case to your team = lead or IT. You're more likely to get approval when you show up with findin= gs instead of a request. For leaders and IT administrators, rigid six-month procurement cycles are p= art of the problem. Consider faster evaluation pipelines or sandboxed trial= s, processes that let teams experiment safely without pushing them toward w= orkarounds, so your team can stay competitive without compromising security= . AI trend reports and industry commentary - Ads have landed in ChatGPT: [OpenAI](https://openai.com/index/our-approac= h-to-advertising-and-expanding-access/?utm_medium=3Demail&utm_source=3Dnews= letter&utm_campaign=3DAugust-2025) announced that it would start testing ad= s on the Free and Go tiers, noting that a full-scale rollout is not yet pla= nned. - A joint partnership between Google and Apple: [Google and Apple](https://= blog.google/company-news/inside-google/company-announcements/joint-statemen= t-google-apple/?utm_medium=3Demail&utm_source=3Dnewsletter&utm_campaign=3DA= ugust-2025) have announced a multi-year collaboration to build Apple Founda= tion Models on Google's technology, reducing OpenAI=E2=80=99s competitive h= old in the market. Models on our radar - [GLM-Image](https://huggingface.co/zai-org/GLM-Image?utm_medium=3Demail&u= tm_source=3Dnewsletter&utm_campaign=3DAugust-2025): GLM-Image is an image g= eneration model that adopts a hybrid autoregressive + diffusion decoder arc= hitecture. In general image generation quality, GLM=E2=80=91Image aligns wi= th mainstream latent diffusion approaches, but it shows significant advanta= ges in text-rendering and knowledge=E2=80=91intensive generation scenarios. - [Pocket-TTS](https://huggingface.co/kyutai/pocket-tts?utm_medium=3Demail&= utm_source=3Dnewsletter&utm_campaign=3DAugust-2025): A lightweight text-to-= speech (TTS) application designed to run efficiently on CPUs. Forget about = the hassle of using GPUs and web APIs serving TTS models. With Kyutai's Poc= ket TTS, generating audio is just a pip install and a function call away. - [Flux.2 Klein](https://huggingface.co/black-forest-labs/FLUX.2-klein-9B?u= tm_medium=3Demail&utm_source=3Dnewsletter&utm_campaign=3DAugust-2025): The = FLUX.2 [klein] model family are our fastest image models to date. FLUX.2 [k= lein] unifies generation and editing in a single compact architecture, deli= vering state-of-the-art quality with end-to-end inference in as low as unde= r a second. Built for applications that require real-time image generation = without sacrificing quality. - [GLM-4.7](https://huggingface.co/zai-org/GLM-4.7-Flash?utm_medium=3Demail= &utm_source=3Dnewsletter&utm_campaign=3DAugust-2025): GLM-4.7, labeled "you= r new coding partner," delivers major improvements over GLM-4.6 across core= coding, reasoning, UI generation, and tool use, with strong gains in multi= lingual and agentic coding and terminal-based tasks=E2=80=94scoring 73.8% (= +5.8%) on SWE-bench, 66.7% (+12.9%) on SWE-bench Multilingual, and 41% (+16= .5%) on Terminal Bench 2.0=E2=80=94while also supporting "thinking before a= cting" for better performance in popular agent frameworks like Claude Code,= Kilo Code, Cline, and Roo Code. - [Agent-CPM Explore](https://huggingface.co/openbmb/AgentCPM-Explore?utm_m= edium=3Demail&utm_source=3Dnewsletter&utm_campaign=3DAugust-2025): AgentCPM= -Explore is an agent foundation model with only 4B parameters in its entire= training and inference infrastructure. AgentCPM-Explore has successfully e= ntered 8 classic long-horizon agent benchmarks, including GAIA, HLE, and Br= owserComp. AgentCPM-Explore achieves SOTA performance at the same parameter= scale and demonstrates its accurate deep research capabilities, effectivel= y breaking the performance bottleneck for on-device agents. Community tutorials and resources - Agent skills are folders of instructions, scripts, and resources that an = LLM can load to perform tasks. First introduced by Claude in 2025, this art= icle [creates an Agent Skill](https://www.digitalocean.com/community/tutori= als/how-to-implement-agent-skills?utm_medium=3Demail&utm_source=3Dnewslette= r&utm_campaign=3DAugust-2025&utm_source=3Dmarketo&utm_medium=3Demail&utm_ca= mpaign=3Dai-newsletter-jan-2nd-edition&utm_content=3Dagent-skills-tutorial)= for a PDF parser. - [LangSmith is a platform](https://www.digitalocean.com/community/tutorial= s/langsmith-debudding-evaluating-llm-agents?utm_medium=3Demail&utm_source= =3Dnewsletter&utm_campaign=3DAugust-2025&utm_source=3Dmarketo&utm_medium=3D= email&utm_campaign=3Dai-newsletter-jan-2nd-edition&utm_content=3Dlangsmith-= tutorial) for instrumenting, debugging, evaluating, and monitoring LLM apps= to overcome these challenges and provide end-to-end visibility into your a= gent's behavior. In this tutorial, we will go through a typical agent relia= bility loop: instrumenting an agent with tracing, debugging agent runs auto= matically and manually, evaluating its performance, iterating on prompts, a= nd finally, monitoring the agent in production. - A true step forward for open-source video generation, LTX-2 is undoubtedl= y the most powerful video generation technology ever open-sourced. In this = tutorial, we will walk through [how LTX-2 works](https://www.digitalocean.c= om/community/tutorials/ltx-2-video-generation-audio-video-model?utm_medium= =3Demail&utm_source=3Dnewsletter&utm_campaign=3DAugust-2025&utm_source=3Dma= rketo&utm_medium=3Demail&utm_campaign=3Dai-newsletter-jan-2nd-edition&utm_c= ontent=3Dltx-2-tutorial) by exploring its architectural pipeline, then show= how to run LTX-2 on DigitalOcean Gradient using the ComfyUI. - Vercel's slick Git-based deploys and edge functions have made it a fronte= nd favorite, but it's not the only option. Compare [Vercel alternatives](ht= tps://www.digitalocean.com/resources/articles/vercel-alternatives?utm_mediu= m=3Demail&utm_source=3Dnewsletter&utm_campaign=3DAugust-2025&utm_source=3Dm= arketo&utm_medium=3Demail&utm_campaign=3Dai-newsletter-jan-2nd-edition&utm_= content=3Dvercel-alternatives-article), including DigitalOcean App Platform= , with breakdowns of CI/CD workflows, scaling, and pricing. - Need to store petabytes of unstructured data without blowing your budget = on egress fees? Check out these [object storage solutions](https://www.digi= talocean.com/resources/articles/object-storage-solutions-cloud-data?utm_med= ium=3Demail&utm_source=3Dnewsletter&utm_campaign=3DAugust-2025&utm_source= =3Dmarketo&utm_medium=3Demail&utm_campaign=3Dai-newsletter-jan-2nd-edition&= utm_content=3Dobject-storage-article)=E2=80=94we compare S3 compatibility, = pricing models, zero-egress options, and AI/ML pipeline integration across = providers from hyperscalers to lean alternatives. - Choosing a VPS provider shapes everything from deployment speed to long-t= erm costs. [DigitalOcean vs AWS Lightsail](https://www.digitalocean.com/res= ources/articles/digitalocean-vs-awslightsail?utm_medium=3Demail&utm_source= =3Dnewsletter&utm_campaign=3DAugust-2025&utm_source=3Dmarketo&utm_medium=3D= email&utm_campaign=3Dai-newsletter-jan-2nd-edition&utm_content=3Ddo-vs-ligh= tsail-article) breaks down pricing transparency, egress fees, performance c= onsistency, and support tiers to help you decide which platform fits your w= orkload. Video tutorials [How AI models run on GPUs (CUDA vs. ROCm)](https://www.youtube.com/watch?u= tm_medium=3Demail&utm_source=3Dnewsletter&utm_campaign=3DAugust-2025&v=3DqL= MjoLIzkR4&utm_source=3Dmarketo&utm_medium=3Demail&utm_campaign=3Dai-newslet= ter-jan-2nd-edition&utm_content=3Dcuda-rocm-video) Ever wondered how your Python code actually runs on a GPU? This video break= s down the AI compute stack=E2=80=94the layers of technology that transform= your high-level PyTorch commands into calculations running on thousands of= GPU cores. Whether you've heard of NVIDIA's CUDA or AMD's ROCm but never u= nderstood what they actually do, this explainer will give you the complete = picture from silicon to Python. Product updates [GPU Droplets accelerated by NVIDIA HGXTM B300 are coming soon](https://www= .digitalocean.com/blog/coming-soon-gpu-droplets-nvidia-b300s?utm_medium=3De= mail&utm_source=3Dnewsletter&utm_campaign=3DAugust-2025&utm_source=3Dmarket= o&utm_medium=3Demail&utm_campaign=3Dai-newsletter-jan-2nd-edition&utm_conte= nt=3Db300-announcement) Featuring 7X more AI compute than NVIDIA Hopper platforms, 2.1TB of HBM3e m= emory, and high-performance networking integration with NVIDIA ConnectX-8 S= uperNICs, Blackwell Ultra delivers breakthrough performance on the most com= plex workloads from agentic systems and reasoning, to real-time video gener= ation. 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Agent skill writing tips and new models
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Trend watch: Shadow AI

As AI adoption in the workforce grows, more= AI-based tools are available to curious developers. This raises concerns a= bout =E2=80=9Cshadow AI=E2=80=9D which is AI tooling that=E2=80=99s in use = at a company without IT approval. This might look like an engineer download= ing Google=E2=80=99s Antigravity IDE on their work laptop without waiting f= or security review, or a teammate using Claude Code from their terminal whi= le the official tooling request sits in procurement limbo.

 

Shadow AI poses security threats to organiz= ations=E2=80=94and expands the overall attack surface for data breaches and= sensitive information leaks. According to Netskope=E2=80=99s 2026  

Without the right guardrails and oversight,= shadow AI will continue to outgrow organizational tooling and systems, fur= ther putting data at risk. Whether you manage AI tools within an organizati= on or use them yourself, addressing the risk of shadow AI keeps

How to keep shadow AI at bay

For developers, be an advocate, not a rogue= agent. Test new tools on personal devices, document the productivity gains= , and bring a case to your team lead or IT. You're more likely to get appro= val when you show up with findings instead of a request.

 

For leaders and IT administrators, rigid si= x-month procurement cycles are part of the problem. Consider faster evaluat= ion pipelines or sandboxed trials, processes that let teams experiment safe= ly without pushing them toward workarounds, so your team can stay competiti= ve without compromising security.

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