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1.
Calling all gen AI disruptors of the enterprise! Apply now to present at Transform 2026 (venturebeat.com)
2.
Startup Gimlet Labs is solving the AI inference bottleneck in a surprisingly elegant way (techcrunch.com)
3.
Jensen Huang predicts Nvidia AI chip revenue will hit $1 trillion by 2027 (techspot.com)
4.
Nvidia Expects Agentic AI To Drive $1 Trillion In Revenue (gizmodo.com)
5.
What Is Inference? Explaining the Massive New Shift in AI Computing (feeds.content.dowjones.io)
6.
Nvidia’s CEO Projects $1 Trillion in AI Chip Sales as New Computing Era Begins (feeds.content.dowjones.io)
7.
Meta's new MTIA lineup joins hyperscalers' unified push for dedicated inferencing chips — companies diversify AI chips in effort to diversify from sole reliance on Nvidia (tomshardware.com)
8.
How to watch Jensen Huang’s Nvidia GTC 2026 keynote — and what to expect (techcrunch.com)
9.
Can Nvidia’s Dominance Survive the Sea Change Under Way in AI Computing? (feeds.content.dowjones.io)
10.
I reverse-engineered the TiinyAI Pocket Lab from marketing photos (news.ycombinator.com)
11.
OpenAI reportedly plans to add Sora video generation to ChatGPT (engadget.com)
12.
Amazon Announces Inference Chips Deal With Cerebras (feeds.content.dowjones.io)
13.
How to watch Jensen Huang’s Nvidia GTC 2026 keynote (techcrunch.com)
14.
The team behind continuous batching says your idle GPUs should be running inference, not sitting dark (venturebeat.com)
15.
Meta reveals four new MTIA chips built for AI inference — to be released on a six-month cadence (tomshardware.com)
16.
Executing programs inside transformers with exponentially faster inference (news.ycombinator.com)
17.
Tech hiring evolves as candidates ask for AI compute alongside pay and perks (techspot.com)
18.
Meta rolls out in-house AI chips weeks after massive Nvidia, AMD deals (cnbc.com)
19.
Python Type Checker Comparison: Empty Container Inference (news.ycombinator.com)
20.
Every company building your AI assistant is now an ad company (news.ycombinator.com)
21.
Lil' Fun Langs (news.ycombinator.com)
22.
The path to ubiquitous AI (17k tokens/sec) (news.ycombinator.com)
23.
Nvidia, Groq and the limestone race to real-time AI: Why enterprises win or lose here (venturebeat.com)
24.
Two different tricks for fast LLM inference (news.ycombinator.com)
25.
AI inference costs dropped up to 10x on Nvidia's Blackwell — but hardware is only half the equation (venturebeat.com)
26.
AI inference startup Modal Labs in talks to raise at $2.5B valuation, sources say (techcrunch.com)
27.
OpenAI executives were on a tear this week trying to quell critics (cnbc.com)
28.
As Rocks May Think (news.ycombinator.com)
29.
Intel's roadmap adds mysterious 'hybrid' AI processor featuring x86 CPUs, dedicated AI accelerator, and programmable IP — chip may capitalize on a market forgotten by Nvidia and AMD (tomshardware.com)
30.
Waypoint-1: Real-Time Interactive Video Diffusion from Overworld (news.ycombinator.com)
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