Archive
Discover and discuss technology tools
Explore the Tiscuss archive by category or keyword, then jump into conversations around what matters most.
Elon Musk's xAI Pivots to Natural Gas, Ditches Solar Power
Elon Muks's xAI has gone all in on natural gas, while SpaceX is obsessed with orbital data centers. What happened to the "solar-electric economy" he promised?
Elon Musk's Dominance in SpaceX IPO: AI Insights
Musk, who will have more than 50% of the voting power, will have a monarchical grip over the publicly-traded version of SpaceX — control that goes far beyond what other tech founders enjoy.
CohereLabs' Command-A Plus: AI Writing Tool for 2026
CohereLabs' Command A Plus: Revolutionizing Writing in 2026 As we approach 2026, the future of writing tools is now here, thanks to CohereLabs' latest innovatio…
RJ Scaringe's Startup Success: $12B Raised, Investors Eager
Investors can't seem to get enough of RJ Scaringe or his ideas. Storytelling and communication are one of his superpowers, according to Jiten Behl, who joined Rivian when the company had just a handful of employees.
AI-Powered Job Descriptions: Student Project Seeks Feedback
We are a group of students working on our graduation project, which focuses on the use of AI tools in creating job descriptions within companies. We would greatly appreciate it if you could take a few minutes to complete this form: [https://forms.gle/aNECfoMBH5xFEXKZ6](https://forms.gle/aNECfoMBH5xFEXKZ6) Thank you
Google's Deep Research Max: Autonomous Research Agent for Expert Repor
Google quietly dropped something interesting last week. They updated their Deep Research agent (available via Gemini API) and introduced a "Max" tier built on Gemini 3.1 Pro. What it actually does: you give it a topic, it autonomously searches the web (and your private data via MCP), reasons over the sources, and produces a fully cited, professional-grade report — including native charts and infographics. Two modes: Deep Research — faster, lower latency, good for real-time user-facing apps Deep Research Max — uses extended compute, iterates more, designed for background/async jobs (think: nightly cron that generates due diligence reports for analysts by morning) The MCP support is the most interesting part to me. You can point it at proprietary data sources — financial feeds, internal databases — and it treats them as just another searchable context. They're already working with FactSet, S&P Global and PitchBook on this. Benchmarks show a significant jump in retrieval and reasoning vs. the December preview. They also claim it now draws from SEC filings and peer-reviewed journals and handles conflicting evidence better. So what do you think, is it another trying or game changer 😅