Search results for Diogo Almeida
AI & Enterprise
Frontier AI era’s ‘paradox of automation’ persists as progress remains slow
As AI models advance, companies are showing growing interest in autonomous AI agents that can carry out tasks without people. Yet complaints persist that AI-driven automation is still slow, even in Silicon Valley, highlighting a gap between expectations and on-the-ground experience. Some argue today’s large language models are built to assist humans rather than automate work, and that pursuing both goals can produce uneven performance. Surveys cited in reports show time saved by AI is often spent fixing or checking AI outputs.
AI & Enterprise
TypeSafeAI CEO says 25% of Fortune 500 companies use Jev, confident against copycat models
The Wall Street Journal reported that Jev, an AI model launched three weeks ago in Silicon Valley, is drawing attention as an alternative to large language models. Startup TypeSafeAI unveiled Jev on Sept. 15. It classifies inputs into preset outputs such as yes or no, scores or list answers rather than generating text. CEO Diogo Almeida says about 25% of Fortune 500 companies already use it.
AI & Enterprise
Major tech firms join race for decision AI models after Jev debut
The market for decision-focused AI models has shifted into a multi-player race after TypesafeAI, founded by former OpenAI employee Diogo Almeida, unveiled Jev in September. Unlike text-generating large language models, Jev returns decisions and probabilities from preset choices. OpenAI introduced a limited Decisions API, while AWS open-sourced Strands Decider 2B. Cloudflare launched Clef and Clef Flash, trained on Qwen models, and priced Clef at $0.24 per 1 million tokens.
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AI & Enterprise
OpenAI unveils \'Decisions API\' to speed up choice-based judgments, targeting software automation
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AI & Enterprise
AI automation and work assistance cannot coexist. Why?
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AI & Enterprise
Big Tech, startups heat up early race for personal AI agents
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AI & Enterprise
Typesafe AI\'s Jev probability model draws developers\' attention