🌟CEO & Founder | Luminstria Crypto Project
🔗 Founder of @Luminstriafaith — the best and the beast
🔥Building innovative blockchain projects on BNB Chainlinktr.ee/luminstriacryp… UAEJoined September 2024
GPT-6.1 Terra is rolling out now and is available to all Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex.
Developers can also access it through the OpenAI API as gpt-6.1-terra.
openai.com/index/introduc…
GPT-6.1 Terra substantially outperforms GPT-5.6 Terra on Agents’ Last Exam, a test of how well agents use software at work.
It even matches GPT-6 Astra at one-tenth the price per token and finishes tasks over 3× faster on average than both Astra and GPT-6.1 Sol.
@OpenAI Oh, the great open AI, is pulling a massive steam on the ground, GPT-7 Bel, is gonna launch soon, before the biggest showdown 6.1 terra- comes in- this is just the beginning- humans get ready for the Greatest reset of all time- @sama@OpenAI -
GPT-6.1 Terra: delivering fast and capable computer use at a lower price.
GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.
I built an absolute monster. My crazy idea to merge all the most powerful AI tools together earned me $832 while I was asleep
opus 5.5 + REA + Jev + Dots + Grok Bot + Obsidian
Half a dozen utilities. One unified ecosystem. Zero human intervention
Opus 5.5 -> acts as the core intellect, designing every assignment
Grok bot -> watches X around the clock to spot emerging patterns
REA -> runs deep analysis on any subject within a four-minute window
Jev -> executes concepts autonomously, turning them into reality
Dots -> weaves all six components into a seamless workflow
Obsidian -> functions as the archive holding 1,260 records with zero data loss
Before heading to bed, I handed it a single objective: discover a profitable market gap and launch a working product by sunrise, keeping the expenses under $15
I went to sleep at 11:40 PM, and here is what unfolded over the course of seven hours:
12:12 AM: Grok bot uncovers 1,900 distinct posts from delivery workers venting about a shared frustration: tracking their income across three separate platforms
1:05 AM: REA evaluates the competitive landscape, finding 14 existing paid solutions starting at $19 monthly, with users universally criticizing the exact same two software glitches
2:30 AM: Opus 5.5 drafts an application architecture designed to resolve both flaws, consisting of nine screens and a single database, without asking me a single question
4:10 AM: Jev programs the software, deploys it live, and writes the promotional landing page.
5:45 AM: Dots generates a 30-second promotional animation and publishes it alongside three forum threads
7:20 AM: Obsidian logs every single action, financial expense, and misstep along the way
Upon waking up, I found a fully functioning application, 243 registrations, and 31 paying customers subscribed at $9 each, bringing in $832 before my morning meal
The entire nightly overhead came to $5.10 for API tokens plus a $4 web domain, totaling $9.10 -> yielding a 91x return while I slept
The system even showed self-control: when Jev attempted to buy a $55 web address, it hit the preset $15 threshold and automatically opted for a $4 alternative instead
The primary misconception is that people turn to AI merely for answers: instead, I gave mine a clear objective, a strict timeline, and a financial ceiling
I did not write a single line of programming code, nor did I open a single browser tab: I simply went to sleep
While everyone else is holding out for artificial general intelligence, I already have six autonomous utilities pulling the night shift
Gemini 4 Carbon is in development, and it's coming this month.
- According to the information, Google is working on Gemini 4 Carbon, which is expected to be an upgrade over Argon.
- The article also mentions that Google's models are very good at visual tasks, and I agree. When you give them an image or video to analyze, they do a really good job.
- Gemini 4 Argon is still behind OpenAI and Anthropic in some areas, and I hope Google closes that gap this time.
- I want Gemini 4 Carbon to be competitive with Astra and Fable, rather than just another incremental upgrade.
- If the model really is coming this month, it looks like Google is picking up the pace with its releases.
Carbon should reach at least Opus 5.5-level performance this time. Google needs a model that can genuinely compete with the best.
@MorningBrew $80.7B net loss in six months against $16.3B revenue is wild. Growth is real, but a business that needs hundreds of billions just for compute is a bet on the funding window staying open, not a normal earnings story.
One rate of change, four dialects.
Leibniz treats the derivative as a ratio of infinitesimals, dy/dx, d²y/dx², d³y/dx³, a form you can still cancel and rearrange.
Lagrange stamps the function with primes, f′(x), f″(x), f‴(x), compact once the independent variable is already
Bro, this AI trading experiment is actually wild
I gave Grok $50 and let 6 agents trade 12 meme coins.
4 minutes later:
$50 → $3,532
99 trades
81 wins
18 losses
82% win rate
The crazy part?
It didn’t get attached to any position.
$BONK looks weak? Sell.
3 seconds later it looks strong? Buy it back.
$PEPE starts moving? Rotate.
$TURBO gets stronger? Rotate again.
It simply switched to whichever setup looked stronger.
That’s what makes this interesting.
The edge may not be picking the perfect meme coin.
It could be rotating between opportunities faster than everyone else.
Want the setup?
Comment “GRAN” and follow me.
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PLAY lotteries. LAUNCH your own. EARN creator fees and referrals.
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