How do men and women use AI? More than any single bar on this graph, I find the more important takeaway to be that men seem to be more likely to cite multiple uses of AI (as in, the blue bars add up to a higher number than the green bars). Also, men had previously been reported
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71% think AI makes personal info less secure after Fable 5 ban
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71% of Americans think AI will make their personal information less secure. Very interesting coming off the (temporary) Fable 5 ban. Note that this doesn't ask them their sentiment around it, just that they believe it will be less secure. I'd love to see this layered over the
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Time-Lapse Verification of the Strait of Hormuz Status
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Is the Strait of Hormuz open or closed? Came up over lunch so I voice noted my agent to "boot up god's eye view and check."
— Bilawal Sidhu (@bilawalsidhu) 22 juin 2026
It sent me back this timelapse clip — refreshed the AIS data, checked oil futures, mapped 120 days of vessel transits and rendered it out.
TL;DR it's… pic.twitter.com/sTveBbkeBjIs the Strait of Hormuz open or closed? It was brought up at lunch, so I sent a voice message to my agent to 'start the God's eye view mode and check.' He sent me this time-lapse sequence — he updated the AIS data, checked the contracts at
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PetPinai AI Dog Pendant: Robotics Industry Hungry for Its Data
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The AI pendant that makes sense is for dogs.
— Robert Scoble (@Scobleizer) 22 juin 2026
This morning I visited the startup that is making @petpinai and had a most interesting conversation.
Turns outs that it has a line of business I didn’t think about: the robotics industry is hungry for its data. pic.twitter.com/6qxG1Ay9rkThe AI pendant that makes sense is for dogs. This morning I visited the startup that is making @petpinai and had a most interesting conversation. Turns outs that it has a line of business I didn’t think about: the robotics industry is hungry for its data.
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Hugging Face to surpass 3M public models and 1M datasets
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We are about to surpass 3M public models & 1M public datasets on @huggingface in a few days. Open-source AI is on fire!
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Pre-detonation file analysis for OT-connected AI pipelines
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Analyzing files before detonation means evaluating risk without executing the file in a live environment. That matters when the file is destined for an AI training pipeline connected to OT systems.
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AI-assisted file analysis improves speed but requires policies and validation
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The key distinction from the session: AI-assisted file analysis improves speed and coverage but does not replace the need for defined policies, clear data ownership, and repeatable validation processes.
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Fugu Ultra tested on 50 weeks of stock data
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Use Case 2: Financial Time Series Prediction
— Sakana AI (@SakanaAILabs) 22 juin 2026
Can an AI agent navigate sequential, no-look-ahead market decisions?
Just for fun, we tested Fugu Ultra on 50 weeks of historical data for an anonymized equity (STOCK_X). Starting with $10,000, the agent processes weekly market data… pic.twitter.com/BcqCfUfw2dUse Case 2: Financial Time Series Prediction Can an AI agent navigate sequential, no-look-ahead market decisions? Just for fun, we tested Fugu Ultra on 50 weeks of historical data for an anonymized equity (STOCK_X). Starting with $10,000, the agent processes weekly market data
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Pipeline for VQA data from Wikidata with LLM/VLM filters
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A pipeline for creating VQA data using knowledge bases (wikidata). We demonstrated the method on world/cultural knowledge and could be extended to other domains. (there are rephrasing/filtration steps that require LLMs/VLMs, but the released data does not).
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LangSmith LLM Gateway: Anonymizes Data and Controls Costs
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LangSmith LLM Gateway sits between your agents and LLM providers. It applies spending limits and anonymizes personal data (PII) before requests reach the model, stopping problems at the source rather than simply