Conducting deep web searches and gathering sources is one of the main things I’ve been using LLMs for. How far away are we from being able to self-host something like Claude’s web search capabilities? Or even just a service where I’d pay with my money instead of my data?


What’s an example of something you can do with this? I’m not familiar with Claude
“Hey Claude, research for me current research to Nuclear Fusion. What are the biggest hurdles what are the next steps, and how promising is private research” enabling the research feature will give you a report, Fact checked (not clean but ok ish), and all the sources for it.
Claude will spin up a bunch of workers and search the web, following leads, and so on.
One of the few actual useful features of AI IMHO
What my Qwen 3.6 35B setup spat out to this prompt. Used 20-something sources:
Based on my research, here’s a comprehensive overview of the current state of nuclear fusion research:
Current Major Breakthroughs
The field has seen remarkable advances recently:
Biggest Hurdles & Challenges
1. Materials Science
The fusion environment is extremely hostile. Neutrons from fusion reactions will bombard the reactor’s first wall and vacuum vessel with more than 10 displacements per atom (dpa) per year, causing:
2. Engineering Scale-Up
Moving from physics experiments to power plants presents enormous engineering challenges:
3. Plasma Physics
Understanding and controlling plasma turbulence, instabilities, and confinement remains an ongoing science challenge. While tokamaks are proven, consistent, optimal performance is difficult.
4. Tritium Breeding
Fusion reactors need tritium (which is rare), so they must breed their own in the reactor blanket—a technology that hasn’t been demonstrated at commercial scale yet.
5. Cost & Complexity
Current fusion devices cost billions to build and operate. Economic competitiveness with other energy sources (and fission) remains uncertain.
Next Steps & Timeline
Public Research:
Near-term Goals (2025-2030):
Commercial Timeline:
The Fusion Industry Association states that the majority of fusion companies anticipate commercial power by the mid-2030s. This seems aggressive but reflects accelerated progress and massive investment.
Private Sector Research: How Promising?
The private sector is arguably making the most exciting progress:
Major Players:
Commonwealth Fusion Systems (CFS): Developing SPARC using high-temperature superconducting magnets to create a compact, cheaper tokamak. They’ve already built and tested their HTS magnet technology at MIT’s Alcator C-Mod and are raising capital for the full SPARC device.
Helion Energy: Pursuing a unique pulsed magnetic fusion approach (not a tokamak), planning a pilot plant by mid-decade with backing from Amazon’s Jeff Bezos and Bill Gates.
Tae Technologies: Founded by John Nuckolls (NIF physicist) and others, using an inertial electrostatic confinement concept.
17 startups have each raised $100M+, collectively attracting over $13B in total investment.
Strengths of Private Research:
Concerns:
Bottom Line
Nuclear fusion is in the most promising phase of its history. We’ve definitively proven scientific net energy (NIF), new technologies like HTS magnets are enabling smaller reactors, and private investment is unprecedented. However, the gap between “net energy in a lab experiment” and “reliable, economic electricity on the grid” remains massive—possibly 15-20 years still.
The consensus seems to be: fusion might reach early commercial deployment by the mid-2030s from private companies, but widespread adoption is likely decades away. Whether that’s good enough depends on your patience and how you weigh potential reward against current climate urgency.