Engineer • Building Farlix I write about Frontier, AI, Agents & SaaS Products
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$50 plan is the sweet spot, and there are few reason for it.
1. It gives you little higher revenue generating users.
2. Pro plan with no 5-hour limit makes more sense than hitting a limit in just a prompt.
3. Cost is going high and $20 plan making no sense here.
4. They want to try out to see that if users are acomikg over there, nad they come it means people are willing to pay for AI benifits.
5. It cost real deal of GPUs to manage efficient usage.
Anyway, the free subsidy is coming to an end and brace for the price hike in AI. No one is ready to accept this but this is going to get real.
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We have like 10000 new benchmarks to evaluate 2 new models
after releasing DeepFinance bench, we wanted to see whether more thinking helps on ultra long-horizon finance tasks or if it just added “token-noise”. turns out, it helps.
GPT-6 Astra on max thinking is the new leader on DeepFinance at 57.6%, exceeding Claude Opus 5.5 (54.8%) andClaude Sonnet 5.5 (54.6 %)
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I did say this loud and out a few days back!
GPT-6 Astra was the generation model from OpenAI.
Astra was the only model that was topping the AA AGI ranking and still has no competitor in Max.
I am still not able to figure out what went wrong with Astra, and why they had to move ahead with GPT-6.1 Sol and Terra.
No offence, they both are good models, but we can modestly compare them with Sonnet 5.5 Max.
It was time for GPT-6.5 Astra, but they are coming up with GPT-6.2 Astra.
Anyway, for us users, we finally have something to cheer up about from OpenAI.
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Hey @grok could you remove the pollution from India ?
I have heard AI can do everything , could you do this !!!!
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All the hype about GPT-6.2 and the Fable 5.5 is dying.
People were all excited about those models through last 2 weeks and did not get anything. All the things we saw on X were completely fake.
I worte the below post, when the hype was getting built and stated the reason and seems both reason coming out of be true.
Both the labs wants to maintain the hype and don't want to release anything.
So, probably my theory is coming to the right conclusion: we did not get anything.
That comes down to 2 things:
1. We see all on the X is fake, it just a hypt and all fake things.
2. All is true, and it seems real security concerns are going on
If none of these things are there, then it's just that they don't want to release anything and maintain the hype.
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This is insane from the Mira Murati, former OpenAI CTO:
Current models are still turn-based. You talk, they go quiet and think, and while they’re thinking they’re effectively deaf and blind. You finish your thought, wait, then try to pick up the thread.
The next ones don’t work that way. They stay open to audio, text, and video the whole time and respond in small continuous chunks. So instead of waiting for you to finish and then catching up, they can cut in the moment you start heading the wrong way.
Prompt box → chatbot → agents → an AI that is actually working next to you in real time.
Anyone can type a prompt. Very few people are ready for something that never fully stops paying attention.
Soham Mehta
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For pure coding and routine engineering work, AI agents are already doing large chunks of it today. Full replacement of a capable engineer who owns ambiguous problems, architecture, tradeoffs, and accountability is probably 3–6 years out if the current pace holds. The people who get displaced first are the ones who refuse to use the tools.
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This is the function an LLM uses to turn its raw scores into next-word probabilities. What does it print, and why?
A) [0.09, 0.24, 0.67] [0.0, 0.0, 1.0]
B) [0.09, 0.24, 0.67] [0.09, 0.24, 0.67]
C) [0.09, 0.24, 0.67] [0.33, 0.33, 0.33]
D) OverflowError
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Lumina
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CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC
since u guys asked for this
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