Author: Naveed Ahmad

AI

Elon Musk and Sam Altman are nonetheless taking swipes at one another on Musk’s social media platform X. Whereas each males had been founders at OpenAI, the place Altman is CEO, they’ve subsequently sparred throughout social media, court docket filings, and corporate blog posts.The newest trade started when Altman posted what he referred to as “a story in three acts,” with screenshots exhibiting that he reserved a Tesla Roadster in 2018, then just lately tried to cancel it and request a refund on his $50,000 reservation payment, just for his e mail to bounce. “I actually was excited for the…

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On Thursday, on the finish of Coinbase’s third quarter earnings call, CEO Brian Armstrong admitted that he was “a bit bit distracted,” as a result of he’d been “monitoring the prediction market about what Coinbase will say on their subsequent earnings name.” “And I simply wish to add right here the phrases Bitcoin, Ethereum, Blockchain, Staking, and Web3 to verify we get these in earlier than the top of the decision,” Armstrong added. Why blurt these out with none obvious context? As Armstrong hinted, they have been phrases that customers on “point out markets” on Kalshi and Polymarket had wagered…

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As tech firms tout their plans for enormous new knowledge facilities, customers are more and more nervous the AI-driven gold rush will in the end drive up the value they pay for electrical energy, in line with a brand new survey. The report, commissioned by photo voltaic installer Sunrun, discovered that 80% of customers are nervous in regards to the influence of information facilities on their utility payments. Shoppers’ considerations aren’t unfounded. Electrical energy demand in the USA held regular for over a decade, according to the U.S. Power Info Administration (EIA). During the last 5 years, business customers together…

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The AI researchers at Andon Labs — the individuals who gave Anthropic Claude an workplace merchandising machine to run and hilarity ensued — have printed the outcomes of a brand new AI experiment. This time they programmed a vacuum robotic with varied state-of-the-art LLMs as a approach to see how prepared LLMs are to be embodied. They advised the bot to make itself helpful across the workplace when someone asked it to “pass the butter.” And as soon as once more, hilarity ensued. At one level, unable to dock and cost a dwindling battery, one of many LLMs descended right…

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How do you inform whether or not a mannequin is definitely noticing its personal inside state as an alternative of simply repeating what coaching information stated about pondering? In a modern Anthropic’s analysis research ‘Emergent Introspective Awareness in Large Language Models‘ asks whether or not present Claude fashions can do greater than speak about their talents, it asks whether or not they can discover actual adjustments inside their community. To take away guesswork, the analysis crew doesn’t take a look at on textual content alone, they instantly edit the mannequin’s inside activations after which ask the mannequin what occurred. This…

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!pip set up -q pyspark==3.5.1 from pyspark.sql import SparkSession, features as F, Window from pyspark.sql.sorts import IntegerType, StringType, StructType, StructField, FloatType from pyspark.ml.function import StringIndexer, VectorAssembler from pyspark.ml.classification import LogisticRegression from pyspark.ml.analysis import MulticlassClassificationEvaluator spark = (SparkSession.builder.appName(“ColabSparkAdvancedTutorial”) .grasp(“native[*]”) .config(“spark.sql.shuffle.partitions”, “4”) .getOrCreate()) print(“Spark model:”, spark.model) information = [ (1, “Alice”, “IN”, “2025-10-01”, 56000.0, “premium”), (2, “Bob”, “US”, “2025-10-03”, 43000.0, “standard”), (3, “Carlos”, “IN”, “2025-09-27”, 72000.0, “premium”), (4, “Diana”, “UK”, “2025-09-30”, 39000.0, “standard”), (5, “Esha”, “IN”, “2025-10-02”, 85000.0, “premium”), (6, “Farid”, “AE”, “2025-10-02”, 31000.0, “basic”), (7, “Gita”, “IN”, “2025-09-29”, 46000.0, “standard”), (8, “Hassan”, “PK”, “2025-10-01”, 52000.0, “premium”), ] schema = StructType([ StructField(“id”,…

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Nvidia CEO Jensen Huang is visiting South Korea for the primary time in 15 years to unveil new plans and deepen collaboration with main Korean tech firms — together with Hyundai Motor, Samsung, SK, and Naver. Throughout this week’s APEC Summit 2025, Nvidia and the South Korean authorities introduced an expanded partnership to spice up the nation’s AI infrastructure and physical AI capabilities. The announcement comes simply days after the U.S. signed expertise offers with Japan and South Korea, aiming to deepen strategic ties and increase collaboration on rising applied sciences, together with AI, semiconductors, quantum computing, biotech, and 6G.…

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Lidar-maker Luminar is warning shareholders that it’ll run out of money in early 2026 and has introduced a 25% reduce to its workforce to assist staunch the bleeding — its second layoff of the yr — in accordance with a Friday regulatory filing. It’s not instantly clear what number of staff shall be affected. Luminar began the yr with round 580 workers, however the firm didn’t specify the dimensions of the layoff earlier this yr. The corporate didn’t instantly reply to a request for remark. The corporate additionally introduced its chief monetary officer, Thomas Fennimore, is stepping down on November…

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Apple CEO Tim Prepare dinner signaled to buyers the corporate remains to be open to acquisitions and partnerships to maneuver issues ahead on the AI entrance. The feedback had been made this week throughout the firm’s This fall 2025 earnings name. The exec additionally provided a short replace about Apple’s next-generation, AI-powered Siri, saying the service was nonetheless on observe to launch in 2026. “We’re making good progress on it, and as we’ve shared, we anticipate to launch it subsequent 12 months,” Prepare dinner stated throughout his opening remarks. One analyst on the decision additionally requested Prepare dinner if Apple…

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How can a small mannequin study to unravel duties it at present fails at, with out rote imitation or counting on an accurate rollout? A staff of researchers from Google Cloud AI Analysis and UCLA have launched a coaching framework, ‘Supervised Reinforcement Learning’ (SRL), that makes 7B scale fashions truly study from very laborious math and agent trajectories that ordinary supervised superb tuning and end result primarily based reinforcement studying RL can not study from. Small open supply fashions reminiscent of Qwen2.5 7B Instruct fail on the toughest issues in s1K 1.1, even when the instructor hint is sweet. If…

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