Good morning. It’s Friday, October seventeenth.
On today in tech history: In 2011Carnegie Mellon researchers released the RoboCup 3D simulation league AI. This league allowed autonomous agents to manage simulated humanoid robots in soccer matches, testing real-time decision-making, physics modeling, and multi-agent coordination.
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ChatGPT’s “golden hour”
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Google drops Veo 3.1
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Anthropic rolls out Skills, Microsoft 365 hookups, and faster Haiku model
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5 Latest AI Tools
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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 corporate is pitching a “check in with ChatGPT” feature to third-party platforms. Unlike OAuth logins from Google or Apple, this version would let firms pass API usage costs to their end users, turning ChatGPT into each an identity layer and a billing instrument.
The long-rumored “golden hour” memory overhaul in ChatGPT is nearly here. As an alternative of hoarding every preference and fact users feed it, the model will start rating information by relevance. It can routinely discard outdated details while preserving steadily referenced items. Users can still disable automated memory, restore entries, or search and filter by date. The update will roll into the present settings interface across desktop and mobile.
Sora 2 now delivers 15-second default video generation and as much as 25 seconds for Pro users through the net app. A storyboard editor replaces single-prompt generation by letting users construct scenes via timeline cards. OpenAI can be preparing a revenue-sharing framework that offers 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 in-built.
OpenAI has hired black hole physicist Alex Lupsasca as the primary member of its latest 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 might probably already conduct limited original research.

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 primary 200 megawatts are heading in the right direction 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 foremost 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 brand new cancer treatment angle. The AI ran simulations on greater than 4,000 drugs across different immune environments and identified silmitasertib as a “conditional enhancer,” a drug that could make tumor cells easier for the immune system to detect, but only in specific contexts.

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.

DeepMind is partnering with Commonwealth Fusion Systems to use AI to plasma control, magnet confinement and simulated reactor design. Backed by a $1B cope with Italy’s Eni, CFS goals to make use of 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 on 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 mix results from multiple systems routinely.
Skills introduce a modular option to load specialized capabilities only when needed. Each skill is a folder with instructions, scripts, and optional executable code. Claude stacks skills dynamically, they usually 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 latest skills with an interactive creator that handles structure and SKILL.md formatting.
Haiku 4.5 is built as a light-weight executor for agents and developer tools. It runs at roughly one-third the price of Sonnet 4, greater than doubles its speed, and still hits 73% on SWE-Bench Verified and 41% on Terminal-Bench. Anthropic is pitching it because 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.


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