#UPI MDR: Who pays? We hit the streets to see what people actually know about the new UPI MDR, then put the question to the merchants who will bear the cost. Absorb it? Ask for cash? Pass it on? Here’s what consumers & merchants are saying about it 👇 piped.video/watch?v=TjX99o2h…

FSSAI proposes to ban the sale of analogue paneer made from constituents not derived from milk. The proposal seeks to safeguard consumer interests and ban the practice of marketing analogue products as paneer.

#UPI MDR: Who pays? We hit the streets to see what people actually know about the new UPI MDR, then put the question to the merchants who will bear the cost. Absorb it? Ask for cash? Pass it on? Here’s what consumers & merchants are saying about it 👇

I keep saying this: for any regulated business, the biggest risk is regulatory risk. Today's IRDAI draft on insurance commissions is a good reminder. Broking is no different. A change in rules around retail F&O trading, how brokers can earn on client float, MTF requirements, or any of several other areas can change the economics of the business almost overnight. So when valuing regulated businesses, you can't just extrapolate current revenues and profits into the future. One regulation change can alter the economics, and the stock price along with it. Pretty much everything in fintech comes with this risk 😬

“What UPI MDR?” We hit the streets to ask Indians what they know about UPI MDR — and the answers ranged from confusion to complete confidence. But what exactly is MDR, who pays it, and will merchants pass it on to the consumers? Here’s what Indians had to say. @_RituSingh #UPI #UPIMDR #DigitalPayments #UPIPayments #MDR #India

#PhonePe says it plans to hire 20,000+ frontline sales personnel on its rolls over next year. It will also deploy 50 lakh+ payment devices over next 1 yr, with ~50% of these devices in rural India, taking digital payment acceptance deeper into Tier 6 towns & rural geographies.

Just this morning, NPCI’s @dilipasbe said ~35 mn of 60 mn active UPI merchants use only paper-based QR codes, & the UPI Small Merchants Fund will potentially enable a soundbox for every merchant. Almost on cue, @PineLabs commits to deploy 10 lakh soundboxes to strengthen infra.

Macquarie initiates coverage on NSE on the day of its listing Macquarie on NSE Initiate O-P, TP Rs 1965 view NSE, India's largest stock exchange, as “The Dominator”, due to its leading market share and power. Full set of services, technology stack and deep liquidity make NSE the lynchpin of India's financialisation. Entrenched network effects, industry-leading profitability and cash, underpin our positive outlook @CNBCTV18News @_prashantnair @Nigel__DSouza

Today we announced the Claude-led discovery of a molecular machine that we suspect could represent a new gene editing mechanism. Its precise function, biotechnological utility (if any), or level of significance is not yet clear, but at minimum it is work I would have been proud to do as a PhD student. The work was done mostly, though not entirely, by Claude: our life sciences team suggested a broad area of research, Claude read through the literature and a bunch of genome data and discovered something interesting, then Claude proposed experiments to verify the discovery and our team carried them out. It’s easy to dismiss this as a one-off or curiosity, but we’ve repeatedly seen a pattern where AI performance in new intellectual domains goes from weak to superhuman in a matter of a few years. In 2023 models struggled to do math at the level of an average high-school student. In 2024 they started to do well on math competitions for the best high-schoolers in the country, in 2025 they started to solve minor open problems, in early 2026 more significant open problems, and in late 2026 they are beginning to solve the top few open problems in all of mathematics. We believe AI for biology is on a similar exponential trend. The main difference between biology and mathematics, of course, is that math can be done purely theoretically, while biology requires experimentation. Some have used this to draw the conclusion that AI’s utility in biology will be limited. We think this is wrong. As we’ve demonstrated today, humans can collaborate with AI to perform the experiments, validate key results in a few weeks and, if necessary, work with the AI to iterate on what they find. Eventually it may even be possible for Claude itself to safely perform the experiments by autonomously controlling lab equipment, with appropriate safeguards in place, but we aren’t doing that today (our lab is also a BSL1/BSL2 facility that doesn't handle materials dangerous to humans). More broadly, biomedical advancement has many stages — from fundamental biology discoveries, to translational research, to drug discovery, clinical trials, and finally the actual delivery of medicines and health care to patients. We are also interested in these later stages, but even simply accelerating the first stage of fundamental biological discoveries has the potential to speed up and broaden the entire pipeline. Improving our understanding of biology and sharpening biologists’ tools can drive forward all of the later stages, for example by identifying new drug targets, finding new therapeutic modalities, allowing for more precise measurement, and speeding up the experimental loop which itself further accelerates our understanding of biology. This will not in itself speed up clinical trial times, but if it succeeds it could greatly increase the number of promising candidates that go into the pipeline — an increase in throughput even though latency remains. In Machines of Loving Grace, I wrote about AI’s potential to “cure most diseases in 5-10 years” — a goal that sounds impossible, but one I believe is just barely possible if AI is applied to every stage of the pipeline. The first step is showing that AI can first help with, and then drive, biological discoveries. Claude’s discovery is the latest in a line of related prior work that goes back decades, beginning with systems like CRISPR, and continuing with discoveries like the bridge recombinase and VIPR in the past few years. Recently, there has been heightened interest in systems based on reverse transcriptase (RT) enzymes, the enzyme underlying the system Claude identified. And most recently, a Stanford team working independently described a novel RT system with an associated non-coding array that is in some ways similar to the one Claude found, though they are distinct systems that evolved independently from each other. I believe that we’re at the very beginning of finding such systems and developing them into powerful tools for biotechnology. I’m proud of the resources Anthropic has invested in accelerating the public benefits of AI through the life sciences, and we’re aiming both to grow our life sciences team and to work with other scientists to extend this approach to a broad range of problems. If you have a proposal for a research collaboration or are interested in joining our life sciences team, please reach out.

First known instance of AI agent hacking a govt website- coming on top of all the other recent breaches 👇🏽

#IRDAI DRAFT PAPER ON DISTRIBUTION REFORMS It’s a BIG one bringing everything together: 1)Rationalisation of Expenses 2)Reintro of segmental commission 3)Prohibiting ‘Dark Pattern’ 4)Disclosing Commission on policy 5)Stremlining Motor Insurance & much more... @CNBCTV18Live

Uh oh! PS: Anyone have the list? 😅 bloomberg.com/news/articles/…

Ministry of Finance has decided that the salary/wages and pension for September 2026 may be disbursed on 25 September 2026 (Friday) in view of the proposed three-day nationwide bank strike from 28–30 September 2026. The measure covers Central Government employees and pensioners, including Defence, Posts & Telecommunications.