Brando
@APIdeclare
Building AI products | Thinking about interfaces, reasoning, and moats | PM at Tekion | Tweets on AI strategy
قد يعجبك
Everyone's chasing 99% accuracy. Groq is chasing sub-1-second latency. 90%+ accuracy + <1s response beats 95% accuracy + 30s thinking for 99% of use cases. The moat isn't smarter. It's faster.
consider the long-term implications of an llm service storing personal preferences as it becomes 100x more powerful
This week in tech- Wiseman Oracle predicts llm plateau, OAI promotes shopping ads and Anthropic release is mid
Could I interest you in a slop bowl coupon? You typically crave extra avocado on Fri-yays
never been more obvious what the next move is gonna be yes it’s ads
Easy Gradient background creation in GPT-5 - Good for non-designer types: chatgpt.com/s/t_68cae30235…
How 'bout a roundhouse kick to the face?
Watching the G1 robot doing Webster flip by the side🙀. Such moments make humanoid robot research so much fun 😃😃
Watching the G1 robot doing Webster flip by the side🙀. Such moments make humanoid robot research so much fun 😃😃
Mixture of Experts llm but one of the experts is Nicolas Cage on a bender
Proposal: Out-of-Ditch Rate (ODR). For coding LLMs, the unsung hero is the model that silently saves you from a 3-hour debug session
Companies don't mind paying for APIs but pricing and rate limits can be difficult to triangulate
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