🤖 AI & Technology
1. Opus 5.5: How Close Are We to Automated AI Research?
Source: AI Explained | 2026-09-24
Kabir’s take: The scary part of this new model isn’t that it’s smarter — it’s that the labs are now openly talking about AI doing AI research on itself, which is the one loop that’s genuinely hard to put a lid on once it starts. You don’t need to follow the technical race to care about this — just know that the pace of change is accelerating, not settling down, so “I’ll learn AI later” keeps getting more expensive.
Not only is Opus 5.5 out, pushing the frontier of AI, it also tells us much about what is going on inside the labs, as they warn about — and promise — recursive self-improvement, otherwise known as automated AI research.
2. The Pentagon wants $30 million to build an AI-powered lie detector
Source: MIT Technology Review | 2026-09-25
Kabir’s take: Lie detectors have never really worked — polygraphs are famously easy to beat — and slapping “AI” on the same idea doesn’t fix the underlying problem, it just makes it sound more convincing. Whenever you see “AI-powered” attached to something that was already shaky science, that’s your cue to be more skeptical, not less.
The US government wants to spend $30.3 million over the next five years on an improved form of lie detector, according to a Department of Defense budget request. The program will focus on scoring algorithms that use artificial intelligence and machine learning.
3. Meta’s Muse just stole the AI spotlight from OpenAI and Anthropic
Source: TechCrunch | 2026-09-25
Kabir’s take: It’s worth noticing that Meta didn’t win this week by being the smartest — it won by being the one everyone was suddenly talking about, which tells you the AI race is now as much a marketing war as a technology one. Don’t pick your everyday AI tool by hype cycle; pick it by what it actually saves you time on this week.
When AI leaders at OpenAI and Anthropic started talking about “pacing the frontier,” maybe someone should have asked: what pace? Now it’s turned into model drop week for both companies, with Meta stealing the spotlight in between.
4. Google tests buying from Walmart-owned Flipkart through Gemini and AI Mode in India
Source: TechCrunch | 2026-09-27
Kabir’s take: This is the kind of AI story that actually matters to daily life in India — not a benchmark score, but “you’ll soon be able to just tell Gemini what you want and it’ll shop Flipkart for you.” That convenience is real, but it also means the AI is now standing between you and your wallet, so keep an eye on what it’s nudging you to buy, not just what it’s saving you time on.
The limited test covers select products and users in India, with a broader rollout planned for later in October — a small preview of AI moving from chat window to checkout counter.
5. Microsoft thinks its new Copilot ‘super app’ will be as influential as Office
Source: The Verge | 2026-09-25
Kabir’s take: Bundling chat, coding, and agents into one app is Microsoft betting that most people don’t want five different AI tools — they want one that just handles things. That bet is probably right for most non-technical users, and it’s worth trying before you assume AI tools are “too complicated” for you.
The redesigned Copilot app bundles three AI capabilities into a single interface of chat, coding, and agents — Microsoft’s attempt to make AI feel as ordinary as opening Word once did.
💰 Financial Freedom
6. Sebi’s PRIM route: Portfolio managers can invest ₹25 lakh-plus client money in mutual funds
Source: Economic Times | 2026-09-28
Kabir’s take: This is a plumbing change, not a headline change — Sebi is making it easier for portfolio managers to route bigger client money into plain mutual funds instead of exotic products. If you’re anywhere near that ₹25 lakh mark, it’s a reminder that the boring mutual fund route is getting more institutional respect, not less — you don’t need something fancier to be taken seriously.
The Securities and Exchange Board of India has launched the Portfolio Managers Route for Investing in Mutual Funds (PRIM), letting portfolio managers place clients’ money directly into mutual fund plans starting from a minimum of ₹25 lakh.
7. Factor investing in 2026: Alpha leads as defensive strategies lag amid market volatility
Source: Economic Times | 2026-09-28
Kabir’s take: Ten years of data on factor investing boils down to the same old lesson — the strategy that looks smartest in a calm year is rarely the one that protects you in a rough one. Before you chase last year’s best-performing fund category, ask what kind of year it actually was, not just what the number said.
A ten-year performance tracker of factor-based investment strategies, ranking annual returns across six key NSE factor indices against the broader Nifty 500 for comparison.
8. Why It’s Easier To FIRE At 35 Than At 50
Source: Financial Samurai | 2026-09-26
Kabir’s take: This flips the usual FIRE story on its head — the writer argues walking away in your 30s was easier precisely because he had less to lose and more runway to course-correct if it went wrong. That’s a quiet argument for not waiting until you feel “fully ready” to make a big change — the safety net you think age gives you often isn’t there when you actually need it.
In 2012, two months before turning 35, the author engineered his own layoff from a 13-year investment banking career. It felt reckless at the time — but he makes the case that doing it later, at 50, is actually the harder move.
9. Will the AI Bubble Destroy our Retirement?
Source: Mr. Money Mustache | 2026-09-25
Kabir’s take: This is the money-and-AI crossover I keep coming back to — nobody actually knows if today’s AI stock run is a bubble or the real thing, and the honest answer is that your retirement plan shouldn’t depend on guessing correctly. The takeaway isn’t to sell everything or go all-in — it’s to build a plan sturdy enough that you don’t need to know the answer.
The market keeps hitting record highs on the back of AI enthusiasm, and it’s fair to ask whether this is 1999 all over again. The piece walks through why panic and euphoria are both the wrong response for a long-term investor.