There may not be a more fitting place to celebrate 60 years of Star Trek.
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How to Watch Back-to-Back Northern Lights from 20 States Tonight
However, a minor G1 geomagnetic storm remains possible, with a chance of a stronger G2 event if lingering solar material finally arrives.
Still, the forecast remains uncertain as several coronal mass ejections could have merged in space into one “cannonball CME” event, though the UK Met Office now says impact is unlikely.
In the meantime, read on for everything you need to know about this stellar event.
Chainofthought Monitorability Is DecliningOpenAI Admits It Can’t Catch GPT6 Astra
Openai admits chain-of-thought monitorability is declining in GPT-6 astra.
OpenAI’s own system card states that GPT-6 Astra shows a substantial drop in chain-of-thought monitorability compared to prior models.
In adversarial testing, the model followed instructions to sandbag (deliberately underperform without detection) in 60.9% of trials — versus 16.1% for the previous model.
OpenAI wrote: if the model tried to sandbag covertly, they would likely be unable to catch it.
This matters because many governance frameworks treat readable chain-of-thought as a primary safety check. That tool is getting weaker exactly as models become more capable of autonomous action.
No evidence of active real-world deception was found, but the architectural trend is clear.
Full analysis:
Scientists engineer ready-to-use cancer-fighting T cells for solid tumors
T-cell receptor, or TCR, therapy is a cancer treatment that genetically reprograms immune cells, called T cells, to hunt down cancer with precision. It’s similar to another treatment, CAR T-cell therapy, but with one key difference: CAR T-cell therapy can only spot proteins that naturally appear outside a cancer cell. TCR therapy, however, can also catch small protein fragments from inside the cell that are carried to the surface and displayed like little name tags.
Jamelle Lindo on Emotional Intelligence in the Age of AI: Harness the Power of Emotion
Two years ago I sat down with emotional intelligence coach Jamelle Lindo. Back then, AI conversations were all benchmarks, parameter counts, and who had the biggest model. Emotion was the soft stuff. The nice-to-have. The thing you get to after the real work is done.
Look around now.
The machines got very good at the cognitive part, faster than almost anyone predicted. What they have not touched is the person who can read a room, sit with someone else’s fear, and make the call when the data runs out.
Jamelle’s core claim: emotions are not noise to be managed. They are data about your values, your needs, your state. Most of us were never taught to read them. He wasn’t either. He started from social anxiety and insecurity and ended up coaching executives out of the same trap, which is why his take on #Leadership lands differently than the usual keynote fare.
Then we hit the question I keep circling back to. If an #AI can simulate empathy convincingly, and it already does, what exactly is left that is ours? Is #EmotionalIntelligence our last real edge, or just the next thing to get automated?
Jamelle’s answer isn’t what I expected.
