🚨 @SEBI_updates Is @upstox under regulatory scrutiny or facing a liquidity crisis?
They’ve SILENTLY slashed the fund withdrawal limit by over 80%, without notice or explanation!
What’s happening behind the scenes? Are investors’ funds safe?
@upstox owes us answers. NOW!
cc: @RBI, @SEBI_Awareness, @FinMinIndia
@minchoi Hype train confirmed!
We tested the so-called ��unlock” prompt on GPT-5 across standard benchmarks.
Results: GLUE (+1.2% avg), SuperGLUE (+0.81%), perplexity drop <1.2%. That’s marginal uplift (best case), not a magic “100% unlock.”
Not entirely an accurate depiction of reality. Here are a few counter data-points:
1. Per BLS, the overall employment growth (not just AI exposed occupations) suggests that aggregate demand for labor remains strong.
2. The average hourly earnings for all employees on private nonfarm payrolls rose by 3.8% YoY in July 2025. If AI were automating entry-level roles at the scale suggested, we would expect downward wage pressure or layoffs.
3. A recent analysis from the U.S. Bank Asset Management Group (August 2025) notes that the employment-to-population ratio has stabilized at 60.4% since mid-2024, with youth employment (ages 16-24) increasing by 1.2% year-over-year in Q2 2025. The Stanford study’s reliance on ADP data (2021-2025) may reflect firm-specific hiring patterns rather than a broad market trend.
4. The Washington Post (July 28, 2025) cites Anthropic’s dataset, showing that as of late 2024, 65% of AI usage across U.S. jobs was augmentative (human-supervised), compared to 35% automative (independent task completion). This ratio has held steady into 2025, with a McKinsey Global Institute report (August 2025) estimating that AI-driven augmentation created 1.8 million new jobs globally since 2022, including 300,000 in the U.S. tech sector alone. Which implies AI augmentation outweighs automation in recent trends.
PMF isn’t a one-and-done deal. It’s a dynamic process. Companies that get this, that stay agile and adapt, are the ones that not only survive but thrive in the long run. So keep evolving, stay curious, and don’t get too comfortable. The market won’t wait for you to catch up.
Countering the Myth of Product-Market-Fit as a static goal!
PMF is often painted as this magical, one-time achievement – hit it once, and you’re golden. But let’s be real: PMF is more like a moving target and if you’re not continuously adapting, you’re likely to miss out.
How can startups embrace PMF's dynamic nature? Start with a mindset shift: see PMF as an ongoing journey, not a finish line. Regularly gather customer feedback to stay attuned to their needs. Embrace flexibility for rapid pivots. Invest in innovation to stay ahead of trends.
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Here's an easy way of doing it. Create a simple web-app
1. User's signup using their twitter login > give permission to your app.
2. Your app uses GPT4 to generate engaging/witty/insightful replies to your tweets. Retweets & likes too.
3. The app also auto-pays for the signed-up user's blue subscription.
The participating users don't have to take any action beyond signing up.
Additional Tip: Keep the number of replies/likes/retweets variable so as not to raise any red flags.
Additional expense: $100 for twitter basic API.
@OpenAI, understood our suspension for a $2.43 bill as auto-debit payments are not allowed in some countries.
But showing us 2FA Stripe integration guide during manual payment is confusing.
@LaunchPodLabs can help in a more user-friendly Stripe integration. Hit us up!
@sama
Did you know ChatGPT is not enterprise ready? Luckily there's a solution that gives your enterprise the power of ChatGPT without compromising on data privacy & security. Want to know more? Leave a comment "Tell me more" on this tweet to get more info.