240 summarised stories about Model Deployment, each linking back to the original source. Browse all topics →
TechCrunch 2 weeks ago 41
Google is shutting down Gemini “Gems,” its feature for building custom AI assistants, and replacing them with “skills.” The Gems become skills starting on November 17, 2026. User-made Gems will be automatically migrated and remain usable until that date, while the new skills require selecting them with a “/” command in task threads.
TechCrunch 2 weeks ago 21
Tarini Padmanabhuni’s grandfather was tricked by a deepfake voice that claimed a kidnapping and prompted a ransom payment before it was discovered to be fake. The FBI reports Americans lost close to $900 million to AI-driven scams last year, up 24% from 2024. DetectifAI, her startup, is building compact AI voice-detection models to run on phones so calls and voice messages can be flagged without sending audio off the device.
Product Hunt 2 weeks ago 3 ● 7 sources
SelfJev was launched as an open 4B “decisions” model you can host yourself for asking typed questions over text. The model is described as being 4B parameters and supports calibrated probabilities for question types like yes/no and score. You can use it via TypeSafe’s SDK with two environment variables and optionally fine-tune it on your data.
Import AI 2 weeks ago 22 ● 2 sources
The newsletter reports that Google is preparing its Project Suncatcher to send Trillium TPUs into space on SpaceX’s Transporter-18 rideshare mission while continuing stress tests for g-forces and radiation. Its radiation testing found the TPUs can survive a total ionizing dose greater than what they would receive during a five-year space mission. As a result, AI training and inference compute could be shifted off-planet sooner, but practical issues like cooling in vacuum remain a key challenge.
IEEE Spectrum 2 weeks ago 6
NASA used generative AI to plan Mars rover routes, test a compressed model in orbit for Earth observation, and astronauts tried a large language model for maintenance questions on the ISS. In May, NASA and IBM demonstrated a compressed AI model in space on the International Space Station and a satellite. These tests are shifting space engineering toward partial autonomy and gradually expanding how much non-deterministic AI systems can interpret conditions and plan tasks, while keeping humans supervising since AI is not yet trustworthy enough for full control.
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15 October 2026
OpenAI’s DevDay set the tone for how AI products are tightening around cost, computation, and agents—while legal pressure keeps reminding everyone that capability doesn’t ship in a vacuum. The headline was GPT-6.1 Sol and its Dots autonomous agent, positioned for higher tool-call volume and longer internal runs. Pricing is blunt: $2 per million input tokens and $10 per million output tokens, pitched as roughly one-fifth the per-task cost of GPT-6 Astra. The catch is availability and scope—Dots is rolling out only to specific ChatGPT plans, while the overall direction is clear: more work moved from chat into orchestration, where agents do the scheduling, retrieval, and stepwise execution.
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