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ChatGPT’s “golden hour” memory cull lands alongside Sora 2 upgrades

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Good morning. It’s Friday, October 17th.

On this day in tech history: In 2011, Carnegie Mellon researchers released the RoboCup 3D simulation league AI. This league allowed autonomous agents to control simulated humanoid robots in soccer matches, testing real-time decision-making, physics modeling, and multi-agent coordination.

In today’s email:

  • ChatGPT’s “golden hour”

  • Google drops Veo 3.1

  • Anthropic rolls out Skills, Microsoft 365 hookups, and faster Haiku model

  • 5 New AI Tools

  • Latest AI Research Papers

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Today’s trending AI news stories

ChatGPT’s “golden hour” memory cull lands alongside Sora 2 upgrades

Sam Altman confirmed that the company is pitching a “sign in with ChatGPT” feature to third-party platforms. Unlike OAuth logins from Google or Apple, this version would let companies pass API usage costs to their end users, turning ChatGPT into both an identity layer and a billing instrument.

The long-rumored “golden hour” memory overhaul in ChatGPT is almost here. Instead of hoarding every preference and fact users feed it, the model will start ranking information by relevance. It will automatically discard outdated details while preserving frequently referenced items. Users can still disable automated memory, restore entries, or search and filter by date. The update will roll into the current settings interface across desktop and mobile.

Sora 2 now delivers 15-second default video generation and up to 25 seconds for Pro users through the web app. A storyboard editor replaces single-prompt generation by letting users build scenes via timeline cards. OpenAI is also preparing a revenue-sharing framework that gives rights holders opt-in control over character usage and compensation for licensed generations. Studios pushed for granular permissions to avoid unauthorized derivative content, and that structure is now being built in.

OpenAI has hired black hole physicist Alex Lupsasca as the first member of its new science initiative under VP Kevin Weil. Lupsasca will guide how GPT-5 is applied to complex theoretical work. The model is reportedly solving astrophysics problems that typically require days of graduate-level calculation, and Weil says it can already conduct limited original research.

Image: G42

To support model scaling, construction has begun on a 16-gigawatt AI datacenter in Abu Dhabi with partners Stargate, Oracle, NVIDIA, Cisco, and SoftBank. The first 200 megawatts are on track for a 2026 deadline. Read more.

Google drops Veo 3.1, deploys Gemini 3.0 and enters fusion modeling

Veo 3.1 has replaced Veo 3 across Flow, Gemini, Vertex AI and the API after generating 275M clips. Audio is now auto-synced into video generation pipelines, spanning Ingredients, multi-image scene setup, morph-based transitions and minute-long Extend chaining. Insert adds objects with correct lighting and shadows, and Remove is next for background reconstruction. Credits scale from 100 free to 25K on Ultra.

Gemini 3.0 Pro is already live for some users via silent swaps on the main site after AI Studio testing. It’s built for code reasoning and generation, with a Flash variant planned for low-latency use.

In biomedical AI, Google DeepMind and Yale used a 27B-parameter model to uncover a new cancer treatment angle. The AI ran simulations on more than 4,000 drugs across different immune environments and identified silmitasertib as a “conditional enhancer,” a drug that can make tumor cells easier for the immune system to detect, but only in specific contexts.

Image: Google

Google Research also released DeepSomatic, a convolutional sequencing model trained on CASTLE’s hybrid PacBio, Oxford Nanopore and Illumina tumor datasets from breast and lung samples. It separates reference DNA, inherited germline variants and somatic tumor mutations, and operates in tumor-only mode. Benchmarks show major F1-score improvements on insertions/deletions, including FFPE-preserved and exome-only data.

Image: CFS

DeepMind is partnering with Commonwealth Fusion Systems to apply AI to plasma control, magnet confinement and simulated reactor design. Backed by a $1B deal with Italy’s Eni, CFS aims to use DeepMind's models to compress experimental cycles and cut simulation compute costs. Read more.

Anthropic rolls out Skills, Microsoft 365 hookups, and faster Haiku model in a bid to triple revenue 

Claude now connects directly to Microsoft 365 through the MCP framework, pulling data from SharePoint, OneDrive, Outlook, and Teams without uploads. A branded enterprise search workspace lets employees query across calendars, chats, HR files, decks, and email archives in a single request. Admins configure data sources and prompts, and responses blend results from multiple systems automatically.

Skills introduce a modular way to load specialized capabilities only when needed. Each skill is a folder with instructions, scripts, and optional executable code. Claude stacks skills dynamically, and they work across Claude.ai, Claude Code, and the API. Developers can manage them through the /v1/skills endpoint and Code Execution Tool beta. Users can generate new skills with an interactive creator that handles structure and SKILL.md formatting.

Haiku 4.5 is built as a lightweight executor for agents and developer tools. It runs at roughly one-third the cost of Sonnet 4, more than doubles its speed, and still hits 73% on SWE-Bench Verified and 41% on Terminal-Bench. Anthropic is pitching it as the default layer for latency-sensitive tasks like Claude Code.

The stack is tied to aggressive financial targets. A recent $13B raise pushed its valuation to $183B. Salesforce is deploying Claude inside Agentforce and Slack with compliance controls, while policy chief Jack Clark is publicly clashing with Trump AI advisor David Sacks over lobbying and regulatory power. Read more.

5 new AI-powered tools from around the web

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