TrackerNews Articles for October 18, 2025
Browse the archive below or jump back to the latest stories.
Bollywood gossip
- Aging Stars and the Production Shift: Who Should Stop Acting and Who Should Start Producing?
- Dating Rumors and Public Image: PR Machinery in 2025 Bollywood Gossip
- Franchise Fever: The 2025 Bollywood Gossip Cycle Around Sequels and IP
- Gossip Culture Then and Now: KWK Nostalgia and the 2025 Bollywood Discourse
- Nepotism Reloaded: How 2025 Gossip Reframes Star Kids, PR, and Fame
Database Debates
Mac and IOS apps
- AI Takes Over: AI-Driven iOS Apps spurring Budgeting, Fitness, and Creative Features
- From Pomidor to iPhone: How Indie Mac/iOS Apps Are Pushing Cross-Platform Roadmaps
- Pricing and Freemium Experiments in Indie iOS/mac Apps: Free Trials, Lifetime Unlocks, and Ad-Free Models
- Privacy-First, Local ML: The Rise of On-Device Search, Speech, and Book Tracking
- Release Playbooks: TestFlight, macOS Tahoe, and Regional Rollouts Shaping Indie iOS/mac Apps
Opinions on bitcoin, crypto mining companies
- A3 Pro Air vs S23: The Efficiency Arms Race Redrawing Mining Hardware Valuation
- Bitcoin Miners Pivot to AI Data Centers: The Emerging AI-Ready Infrastructure Shift
- BTDR's 12-Month Output Target: Could 200 BTC/Week Become Reality?
- Mining Stocks in 2025: Signals from CAN, BITF, RIOT, MARA and ETF Flows
Opinions on Indian stocks and mutual funds
- Gold vs Silver vs debt options for a 1-year parking plan: what Indian investors are choosing
- Nifty expiry plays: CE/PE strategies, VWAP breaks and gap tricks in Indian trading
- Nifty momentum ETFs vs flexi-cap/mid/small-cap mutual funds for long-term SIPs
- Sector leadership chatter: Nifty, Next 50 and Bank Nifty — what the retail eye is watching
- Smart money loading into Globus Spirits: mutual funds lift bets amid capacity expansion
Opinions on LLMs
- Latency vs cost: how hardware constraints are steering LLM deployment decisions
- Local AI is gaining traction: offline/off-device models and memory-augmented tooling
- Open-source vs proprietary: who wins on transparency and performance in LLMs?
- Public benchmarking vs private claims: openness as trust driver in LLM performance
- Speculative decoding: can drafting tokens before you finish truly cut latency—and at what cost?