https://techcrunch.com/2025/02/04/hugging-face-researchers-a... > On GAIA, a benchmark for general AI assistants, Open Deep Research achieves a score of 54%. That’s compared with OpenAI deep research’s score of 67.36%..Worth noting is that there are a number of OpenAI deep research “reproductions” on the web, some of which rely on open models and tooling. The crucial component they — and Open Deep Research — lack is…
theres always a lot of openTHING clones of THING after THING is announced. they all usually (not always[1]!) disappoint/dont get traction. i think the causes are 1. running things in production/self hosting is more annoying than just paying like 20-200/month 2. openTHING makers often overhype their superficial repros ("I cloned Perplexity in a weekend! haha! these VCs are clowns!") and trivializing the last mile, mos…
Also, having an open source alternative - even if slightly worse - gives projects an alternative if OpenAI decides to cut them off or sth.
What I tell startups is to start off with whatever OpenAI/Anthropic have to offer, if they can, and consider switching into Open Source only if it allows for something they can’t do (often in gen graphics), or when they reach product market fit and they can finetune/train a smaller model that handles their specific case better and cheaper.