Aparna Pappu, a Google veteran now leading YouTube Shorts as VP for creator community, outlined how the platform is using YouTube-wide thinking to grow short-form video. YouTube Shorts averages 200 billion daily views. The team is aiming to improve video understanding and recommendations with Google DeepMind expertise while adding creator tools like automatic thumbnail generation and pushing to reduce low-quality content, including AI-related material.
Magnum’s R&D center near Bedford developed a glow-in-the-dark ice lolly and improved freezer technology, and it also uses AI and a 24-hours-a-day robot to refine ice-cream production. Its camera-equipped fridges use AI to estimate sales and restocking needs, reducing empty shelf space through more targeted supply. Ice cream offerings shift toward energy-efficient refrigeration and new product formats, including luminescent and protein- or flavor-experiment focused options.
Touchmark launched a futures-style market where companies can prepay for AI inference capacity as tradable token contracts tied to delivery windows. The platform offers discounts of up to 30% for tokens covering September based on prepaid timing. Buyers get standardized forward pricing and delivery through an API contract system, while providers can sell capacity months ahead instead of relying on private one-off deals.
Universitas Gadjah Mada, Indosat, NVIDIA and Indonesia’s Ministry of Communication and Digital Affairs launched the UGM Indosat NVIDIA AI Technology Center in Yogyakarta to build local AI talent. The center launched this week and provides access to accelerated computing via Indosat’s GPU Merdeka platform. It enables three initial AI projects in healthcare, agriculture, and disaster response by giving researchers enterprise-grade resources and technical mentorship.
Bedrock AgentCore was used to run a multi-agent workflow that routes requests between Amazon Bedrock models and an OpenAI-compatible Qwen 3.5 9B endpoint hosted on Amazon SageMaker AI. The Qwen 3.5 9B model was deployed on an ml.g6e.2xlarge instance running vLLM 0.22.1-gpu-py312-cu130. Token-level observability changed by adding a custom OpenTelemetry gen_ai.chat span and enabling vLLM streaming usage reporting (include_usage) so SageMaker token counts become visible in traces.
Dell Technologies’ new report says UK SMEs are using AI to improve business performance and competitiveness. It surveyed 2,013 SME decision-makers and found AI frees up an average of 2.5 hours per employee each week. The findings highlight that SMEs can focus AI on defined use cases and broader toolkits to gain more time, strategic work opportunities, and faster adoption outcomes.
Hyperscalers including Meta, Microsoft, Google, and Amazon are building large natural-gas power plants to supply their AI data centers, and a research report warns that this could expose them to higher gas price risk. Natural gas prices could triple in some U.S. hubs, with Noreva forecasting levels above $10 per million BTUs versus roughly $2 to $4.50 now. If that happens, data-center operating costs and token costs could rise, or hyperscalers may shift more load to the electricity grid, pushing up electricity prices.
Amazon ECR Managed Signing was introduced to address how unsigned container images leave organizations unable to cryptographically prove image origin or prevent tampering in AI-era delivery pipelines. It uses AWS Signer with a default signature validity of 135 months and signs a Notary payload that binds the image manifest digest to an identity. With registry-backed signing plus Kubernetes enforcement (e.g., Kyverno/Gatekeeper/Ratify), unsigned or untrusted images are blocked from running and compromised signer identities can be revoked to stop trust fleetwide.
The article argues that the AI funding “bubble” is unlikely to burst soon because AI factory bottlenecks in areas like memory, packaging, networking, power, and site readiness keep tightening. It says these constraints won’t ease before at least 2028. As a result, deployment slows, price discovery gets delayed, and the market’s ability to judge whether overbuilding happened is postponed.
Mistral secured an anchor group of enterprise backers, including ASML, CMA-CGM, Caisse des Dépôts, Capgemini and Amadeus, to fund its data centre buildout for an AI-focused European cloud. The plan targets 1,000 megawatts of AI compute across Europe by 2030, starting with a $830m loan for a south-of-Paris data centre with 44 MW capacity. The financing and multi-year customer commitments will be converted into European Compute Units, and Mistral will also open its platform to third-party open-weights models and add an option to run inference in the US or Europe.
Inference systems turn a trained model into a streaming service that handles asynchronous user traffic, varying prompt sizes, and GPU scheduling for transformer computation. A described example uses a 4,000-token prompt requesting a 300-token answer. The shift is that “inference” is treated as a full request/token pipeline (tokenization, context assembly, routing, memory management, sampling, and streaming) rather than a single forward pass.
SpaceXAI released Grok 4.6, a post-training upgrade intended to improve multi-step agent performance after Grok 4.5. It launched on August 12 and scored 61 points on the Artificial Analysis Intelligence Index. Pricing and availability stayed the same, but the AI division’s results and compute contracting make SpaceXAI’s role shift further toward an operator of both frontier models and AI infrastructure supplier.
Databricks raised $5 billion in a new funding round at a $190 billion valuation. The deal values the company at $190B, up from $134B six months earlier. Databricks says it will use the money to expand Lakebase, Genie, and Unity AI Gateway as it grows its enterprise AI and data-governance push.
AMD began a four-part bond sale to fund AI and data center expansion, according to Bloomberg and Reuters. The offering is for $4 billion to $5 billion, with options at 3, 5, 7, and 10 years and pricing talks around 70 to 115 basis points over US Treasuries. If it raises the proceeds, AMD can invest in foundry capacity, packaging, and data center partnerships while also planning to repay $875 million of bonds due September 2026, shifting its funding approach toward capital markets.
Databricks closed a $5 billion strategic funding round at a $190 billion valuation. The company also reported crossing a $7 billion quarterly revenue run-rate in Q2, up more than 80% year over year. The money is intended to expand its agent-focused AI products, while its main growth driver remains data-warehousing “Lakehouse.”
Hugging Face’s “State of Open Models” report tracked rapid growth on the HF Hub and found major shifts in which labs publish, how downloads differ from likes, and where value accumulates in open-weight models. Public model repositories grew from 2.43 to 2.96 million and datasets from 711,000 to 1 million between January and August 2026. Open-weight adoption is increasingly shaped by hardware/infrastructure companies and by community ecosystems such as Qwen derivatives, while local inference via formats enabled by llama.cpp makes very large models runnable on more machines.
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