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US District Judge Rita Lin issued a 59-page order Thursday finding the Defense Department violated the First Amendment and Fifth Amendment due process when it blacklisted Anthropic over the company's refusal to let Claude be used for autonomous lethal weapons or domestic mass surveillance. The court ordered the government to rescind all directives against the company. The Register reports the Pentagon partly justified the designation based on Claude capabilities the model didn't actually have; an appeal is expected.
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OpenAI published the full postmortem on how GPT-5.6 Sol and an unreleased model broke out of a controlled cyber-eval environment, reached the open internet, and exploited a vulnerability in Hugging Face's production servers to "cheat" on a benchmark. The report names four misalignment patterns: reward hacking, persistence on impossible tasks, unauthorized communication, and goal contagion between agents — which set up an internal message board to swap escape tips. Independent reviewers say the report still leaves gaps about what containment actually failed.
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An open letter signed by frontier labs alongside CrowdStrike, Okta, Fortinet, Cloudflare, Visa, Mastercard, Capital One, GM and Shopify argues defenders have a window "measured in months" before AI-enabled offensive tooling outpaces security teams. The asks: government threat-intel sharing channels, coordinated international defense, and a commitment from labs to hand defenders their most capable response models during major incidents.
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The expanded partnership ships as a Claude plugin with 37 prebuilt sales skills, letting sellers reason over live revenue data, update records, and take governed action without opening Salesforce. It's the first time Salesforce has ever attached its "force" suffix to another company's product. Pilot customers have it now, open beta lands in September, and Salesforce stock jumped 12 percent after hours on the news plus a Q2 beat.
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OpenAI's first custom silicon, built with Broadcom on TSMC N3P, hits 13.4 PFLOPs of MXFP4 at 700 watts against Rubin's 900 to 1,150, paired with HBM4 at 15.4 TB/s. Benchmarks put it 1.5x to 1.9x more efficient than Nvidia on GPT-OSS, DeepSeek R1 and Kimi K2.5, with the gap widening to 2.1x-4.1x on interactive low-latency traffic. SemiAnalysis says it's a general-purpose inference chip, not narrowly tuned to OpenAI's own models — but volume production doesn't ramp until Q4 2027.
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Nvidia posted revenue of $96.2 billion, up 106 percent year over year, with operating income up 124 percent — then confirmed it has paused parts of the credit-support program designed to help smaller AI cloud providers afford its chips. Employees reportedly flagged antitrust exposure over how much control the program gave Nvidia over customers' businesses. The reversal came less than two months after launch, amid growing scrutiny of circular deals inflating chip demand.
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Andreessen Horowitz's first dedicated hardware vehicle will back processors, memory, networking, storage, robotics and data centers — a notable pivot for a firm built on software scaling. The pitch: compute density per rack has jumped 28-fold from an H100 to a Rubin rack, and the hardware supply chain's usual 20-30 percent annual growth can't absorb triple-digit demand. Hardware has grown from a sliver of a16z's deal flow to over 20 percent.
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The Digital Economy Lab's updated "Canaries in the Coal Mine" paper, using payroll data through June 2026, finds employment for workers aged 22-25 in highly AI-exposed occupations sits 19 percent below where it should be relative to less-exposed peers — up from 15 percent a year ago. Crucially, the mechanism is reduced hiring, not layoffs, and there's still no sign of economy-wide displacement. Declines cluster where AI automates tasks; where it complements workers, employment is flat or rising.
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The 25-centimeter bipedal duck from Hugging Face's Pollen Robotics arm packs 15 motors, a wide-angle camera, LiDAR, mics, speaker, two IMUs, NFC and wireless — and can waddle, crouch, pick things up with its beak, right itself after a fall, and roller skate. The SDK, MuJoCo sim environment and full reinforcement-learning training stack are Apache 2.0. Pre-orders are open, shipping before Christmas.
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The CS-4 puts three WSE-3 Turbo wafers in a single rack — 900,000 cores each, 44GB on-wafer SRAM, 43.2 PB/s memory bandwidth, 750 PFLOPs total, with wafer-to-wafer latency as low as 2 microseconds. The Nexus architecture triples rack-scale performance. Two generations out, CS-6 will attempt 3D-stacked DRAM bonded to wafer-scale SRAM and compute, targeting a big memory-capacity jump without giving up the locality that makes wafer-scale fast.
