A great example of AI improving the experience behind the broadcast, not just on the screen. Reducing motion jitter in a referee point-of-view feed can make fast, high-pressure moments clearer and more immersive for fans watching around the world. @Lenovo #FIFAWorldCup
MACHINE LEARNING
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Cerebras to share more Gemma 4 31B information updates
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We will update more Gemma 4 31B information as we go! https://
inference-docs.cerebras.ai/models/gemma-4
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GoalOS provides bounded, evidenced, validated, governed AI work as default unit
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The industry is producing increasingly capable systems, but capability alone does not solve authorization. In high-trust environments, work must be bounded, evidenced, validated, governed, and reusable. GoalOS makes that the default unit of AI work.
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LLMs less likely to default to React than last year
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Is it just me, or are today's LLMs less likely to default to building everything in React than they were last year? I used to have to say "don't use React" in almost all of my frontend web dev prompts, I've not had to do that for most of the models in quite a while now
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Sol and Terra launch: new GPT-5.6 models with US government request
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Good new first: Sol is a smart, efficient, and a significant step forward. It is the same price as GPT-5.5. Also launching in the GPT-5.6 family is Terra, with 5.5-level performance at half the price. Bad news: at the request of the US government, it is launching today in
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AI detects attention drops and regenerates engaging lecture clips
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5. Retention: Finds the moments in a recorded lecture where attention drops and uses Pika to automatically regenerate more engaging clips—using a brain simulation model as the judge.
— Pika (@pika_labs) 26 juin 2026
Team: Marcos Arnold, John Connell, Eric Fu, Ava Gonick pic.twitter.com/n4yspYMval5. Retention: Finds the moments in a recorded lecture where attention drops and uses Pika to automatically regenerate more engaging clips—using a brain simulation model as the judge. Team: Marcos Arnold, John Connell, Eric Fu, Ava Gonick
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Book on ML for Time Series Forecasting and Anomaly Detection
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Machine Learning for Time Series with Python — Forecast, predict, and detect anomalies with state-of-the-art ML methods: http://
amzn.to/3wrjXVv by @benji1a —————
#DataScience #AI #Forecasting #PredictiveAnaytics #AnomalyDetection #IoT #IIoT #EdgeAI #EdgeComputing -
AA-Briefcase leaderboard for realistic tasks; Nemotron 3 Ultra top
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@ArtificialAnlys just dropped a brand new leaderboard called AA-Briefcase for evaluating realistic tasks in complex projects. Nemotron 3 Ultra ranks among the top open models, with strong performance across a wide range of long-running agentic tasks, even when encountering them -
Designing Machine Learning Systems – Iterative Process for Production
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Designing #MachineLearning Systems — An Iterative Process for Production-Ready Applications: http://
amzn.to/46epLSi by @chipro — 𝓣𝓸𝓹𝓲𝓬𝓼:
Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing,