Altman Says OpenAI Will Have Internal “AGI” by End of 2026
Sam Altman told TIME that OpenAI expects an internal system it would call AGI by year’s end, built on its unreleased Astra model, though the claim rests on a contested definition.
Sequence-to-sequence, or Seq2Seq, describes models that map an input sequence to an output sequence whose length may differ. Machine translation converts words in one language into another, speech recognition maps audio frames to text, and summarization produces a shorter sequence from a longer document. Many Seq2Seq systems use an encoder to represent the input and a decoder to generate output step by step, often with attention between them. Transformer encoder–decoder architectures largely replaced earlier recurrent designs. Training typically uses paired examples and token-level loss, while inference relies on greedy, beam, or sampling-based decoding. Quality depends on alignment, context limits, data coverage, and evaluation beyond surface overlap.
Sam Altman told TIME that OpenAI expects an internal system it would call AGI by year’s end, built on its unreleased Astra model, though the claim rests on a contested definition.
Bill Gates published a 6,000-word essay warning that the AI transition could be one of history’s most disruptive periods, urging new institutions and a plan before it’s too late.
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Google Cloud launched Gemini Enterprise for Legal, a specialized AI platform with agents for drafting and contract work, joining Anthropic and OpenAI in courting law firms.
Porsche signed a five-year, €1.25 billion AI partnership with Tata Consultancy Services, which is separately buying Porsche’s IT consulting arm MHP for €320 million.
OpenAI banned ChatGPT accounts it says originated in Russia and built a fake “expert institute” using plagiarized academic work to manufacture false credibility online.
Apple launched new Mac Mini and Mac Studio models with its M6 and M5 Ultra chips, explicitly built for developers running AI models and agents locally instead of in the cloud.
Nvidia is in talks to invest in Perplexity at a valuation above $30 billion, a 50% jump from a year ago, as the AI search startup’s revenue triples on its new agent product.