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Loft
Joined September 2012
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iamAaruna retweeted
From China… a portable device that turns various water sources into usable, clean water
China has developed a mobile water‑purification unit capable of treating well water, floodwater, river water, mountain springs, groundwater, and even tap water — all without disconnecting pipes or performing any complex installation work.
The device is easy to carry and operate, making it suitable for homes, farms, work sites, camping trips, and emergency situations or natural disasters where traditional water sources are affected.
iamAaruna retweeted
Uçuş sırasında kokpit kanopisi açıldı... Pilotun yaptığı hamle ise hayatını kurtardı.
iamAaruna retweeted
Your brain tricks you into seeing yourself 5 times more attractive in the mirror than you actually are
iamAaruna retweeted
Did you know that nail biting helps in the better functioning of your immune system since it increases exposure to germs that your body builds antibodies to.
iamAaruna retweeted
🔥 HELL YEAH! A pilot just used his airplane to draw a USA 250th banner using his flight path
It took him over FIVE HOURS of flying time to do this.
What a PATRIOT! 🇺🇸
iamAaruna retweeted
OpenAI just launched Terra — a GPT-5.5-level model at 50% of the previous cost. For enterprise AI teams, this is not just a price drop. It is a signal that the cost curve of frontier AI is bending faster than procurement cycles can keep up.
The catch: Terra launched under a US government-mandated 'limited preview.' Sam Altman confirmed the lockdown. Greg Brockman vouched for performance. But enterprise contracts now carry an asterisk — can you really build on a model the government can pause at any time?
The math is still compelling. If you are spending six figures per month on API calls, a 50% cost cut with equivalent quality rewrites your AI budget in real time. But the real metric to watch is not tokens per dollar. It is trust per dollar.
Terra raises a structural question that every CIO and AI lead should be debating internally: should enterprise AI strategy chase the latest frontier release, or optimize for stability and predictable access? The teams that answer this well will outrun the ones that only optimize for the next benchmark.
Here is the play: run Terra in parallel with your current stack. Benchmark total cost of ownership, reliability, and the 'government pause' risk into your scoring. Then decide.
What is your move — migrate fast, or wait-and-see? 🤔
teapawt.net/sama/status/2070607488…
#AIAgents
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 limited preview instead of the open access launch we were planning on. We are working with the government to get to general availability as fast as we can.
I think it is quite reasonable to roll out models--especially as they reach significant new levels of capability--in this way. It fits with our long-held strategy of iterative deployment. But this isn't quite the process that we think is optimal.
Now we will with the government to attempt to get to a transparent, reliable process for early access, and to ensure that as long as our safeguards work as intended we can release widely. We want to be a reliable, dependable partner that works with all stakeholders, and we also want to live by our mission of benefiting all of humanity. I believe the government shares most of our goals, and that they are overall doing a good job in a very difficult situation.
We will work as quickly as we can to get this model in your hands and we hope you will love it.
iamAaruna retweeted
😭 IF I WON THE LOTTERY… I WOULDN’T TELL ANYONE…
🤩 BUT … there would be signs.
❤️ I love this!
