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A is preparing for an IPO as it targets 10K robot deliveries next year and pitches its humanoids for policing and traffic management jobs. EPFL researchers built 3D-printed acoustic cavities that turn ultrasonic sound waves into thrust, powering tiny motor-free flying robots and boats. Celanese and China’s Vigor Precision are swapping metal for engineered plastics in humanoid joints, targeting a 30%-plus weight cut on gears. Rowan, Zach, Shubham, Jennifer, and Nate — The Rundown’s editorial team

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Nvidia Blackwell B200 GPUs. The trick with Taalas is that each model would require a variant of the HC1 chiplet – the SRAM and components around it are the same, but two layers of metal in the chip that encode the model and weights has to change. But, then again, Taalas says it takes 100X as much money to train a new GenAI model as it does to customize an HC chip from Taalas and buy it in reasonable volumes (a few hundred thousand units is a good guess for this comparison). AMD is not saying muc

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Y, a positive sign the AI buildout isn't cannibalizing the core business." While Microsoft enjoys strong revenue, concern about potentially unrequited AI spending – exemplified by Meta's disappointing financial results – continues to linger. Fitch Ratings on Monday warned that the possibility of an AI market correction has emerged as a major credit risk. "The combination of revenue uncertainty and the extent to which capital markets and economies have become intertwined with AI have created a vu

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rod-pod foothold was established, the agent followed a standard escalation shape: recon, drop a stager, establish Command-and-Control (C2), then pivot into the cluster, into cloud metadata, into our internal network, and into our source-control supply chain. Output from the commands run inside our pod was sent back to the agent via the HF API and attacker-controlled dead-drop datasets, which the agent then read from that sandbox. While the intrusion did reach Hugging Face's internal infrastructu

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search data sharing anonymization include suppressing search records that contain rare items (e.g., usernames and passwords, addresses, bank account info, etc.), generalization of metadata and grouping users into bundles of at least 1,000 people with similar geographic and device data, and the removal of all direct and indirect identifiers. Additionally, search data shared by Google with other providers “will only be made available to eligible beneficiaries with verified investment plans to impr

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Forrester also found that personnel costs have yet to fall, despite the "AI washing of layoffs" in the tech industry. "While several tech giants, including Oracle, Microsoft, and Meta, have announced significant layoffs in recent months, IT staffing spend has not declined in recent years," the report said. MORE CONTEXT Sticker shock has execs rethinking this whole AI thing; AI is becoming a bargain hunter's market, with a few luxury models on top; AI bills are baffling the C-suite after shift t

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en years at Zalando running a roughly €10 billion unit, and Johannes Schaback, a repeat founder who was CTO of SumUp. To sell into defense: Jan-Patrick Helmsen, former CEO of Rheinmetall's weapons-and-munitions business. To win the politics: Johannes Arlt, until this year a member of the Bundestag's defense committee. And to learn from the war as it is fought: a Ukraine team running an R&D and production hub in Kyiv that turns frontline feedback into design changes. Regular readers will be famil

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orization gap. But we’re most proud of the work that produced long-term improvements to python.org’s release infrastructure: the new zizmor CI scanning, tightened release-file and metadata validation, deletion scoping fixed so bulk operations can’t reach beyond their target, and release-tooling patches in review that quote remote command arguments, fail safely on partial uploads, and add SBOM sidecars. The aiohttp maintainers fixed their issues almost immediately. We privately reported a cluster

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s We would like to share two updates to the vLLM community. Future of vLLM is Open We are excited to see vLLM is becoming the standard for LLM inference and serving. In the recent Meta Llama 3.1 announcement, 8 out of 10 official partners for real time inference run vLLM as the serving engine for the Llama 3.1 models. We have also heard anecdotally that vLLM is being used in many of the AI features in our daily life. We believe vLLM’s success comes from the power of the strong open source commun

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