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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
Over the past month, I’ve conducted almost a dozen interviews with F500 enterprises on theirr AI deployment.
We are now in year 4 since the launch of ChatGPT. Where do we stand?
This is Part I of a two-part series on rising AI costs. Part I covers why costs are rising, why they matter, and how enterprises should respond. Part II will explore what this means for investors.
The average public SaaS company is down ~40% from its highs.
AI’s progress in 2025 was largely a continuation of trends that were already taking shape in 2024 (download the 2024 Backward Pass here). Toward the end of 2024, we flagged the emergence of Chinese models such as DeepSeek and Qwen as credible competition to their Western counterparts.
With Google’s release of the Agent Payment Protocol (A2P) last month, the agent ecosystem is maturing.
Here’s a hot contrarian take: AI companies are massively undervalued right now...
This summer, I traveled over 50,000 miles and met with more than 30 companies to discuss our latest views on the AI landscape.Sharing the presentation I used here:https://lnkd.in/ePBz5uXC
See below for a list of “555” AI startups — companies with >$5M in revenue, growing at least 5x y/y, and formed within past 5 years. 📈 The median revenue multiple for this group is ~60x trailing ARR — nearly 10x higher than the public SaaS average (~6x).
Chip-level bottleneck will give away to system-level bottleneck. Looking ahead, the constraint will shift from chips & compute to power generation, distribution, and grid resilience.
Currently in Asia meeting our corporate partners to discuss where AI is heading. Thought I share the presentation more broadly for everyone’s benefit.
This morning, CoreWeave rang the Nasdaq bell, becoming the first dedicated AI company to go public in the post-ChatGPT era.
DeepSeek has now surpassed OpenAI as the most popular app on the App store... Mainstream media has positioned this as something that “came out of nowhere”. But for those closely following AI over the past 18 months, this shouldn’t have been a surprise. Chinese LLMs have always been very good.
Just finished reading “The Nvidia Way” by Tae Kim. Of the 200+ non-fiction business books I’ve read, this probably ranks in the top 3. A must-read for startup founders to F500 executive.
Quick notes from watching the keynote and walking the conference floor
The original report in PDF can be downloaded here: https://translinkcapital.docsend.com/v/c98t5/backward_pass
Joining other investors including NEA, Lux Capital, Khosla Ventures, and Nvidia in their ~$200M series A round
Last week, Perplexity announced they were getting into the ads business. This isn't surprising - I've long argued that subscription in search has a limited TAM.
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