As OpenAI information for IPO, Sam Altman’s eye-scanning firm is doing layoffs, report says

As OpenAI information for IPO, Sam Altman’s eye-scanning firm is doing layoffs, report says

OpenAI introduced on Monday that it confidentially filed for an IPO, marking what may develop into the one of many defining public choices of the last decade. After which there’s OpenAI CEO Sam Altman’s different firm, Instruments for Humanity, which is reportedly conducting layoffs, in response to Business Insider. TechCrunch has reached out to the…

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ClawHub Safety Indicators: A Coding Information to Finish-to-Finish Safety Sign Evaluation and Verdict Classification on the AI Abilities Dataset

ClawHub Safety Indicators: A Coding Information to Finish-to-Finish Safety Sign Evaluation and Verdict Classification on the AI Abilities Dataset

TEXT_COL = “skill_md_content” NUM_COLS = [“skillspector_score”, “static_finding_count”, “skillspector_issue_count”, “virustotal_malicious_count”] TARGET = “clawscan_verdict” def prep(df): out = df.copy() out[TEXT_COL] = out[TEXT_COL].fillna(“”).astype(str).str.slice(0, 6000) for c in NUM_COLS: out[c] = pd.to_numeric(out[c], errors=”coerce”) return out train_p, test_p = prep(train_df), prep(test_df) get_text = FunctionTransformer(lambda X: X[TEXT_COL].values, validate=False) text_pipe = Pipeline([ (“select”, get_text), (“tfidf”, TfidfVectorizer(max_features=20000, ngram_range=(1,2), min_df=3, sublinear_tf=True)), ]) num_pipe =…

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Xiaomi MiMo and TileRT Push a 1-Trillion-Parameter Model Past 1000 Tokens Per Second on Commodity GPUs

Inference speed is becoming a competitive metric for large language models. Xiaomi’s MiMo team just released MiMo-V2.5-Pro-UltraSpeed, built in collaboration with the TileRT systems group. It decodes faster than 1000 tokens per second on a 1-trillion-parameter model. Xiaomi team describes this as a first at trillion-parameter scale. Demos show generation peaks near 1200 tokens per…

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