Kalshi demands Netflix take down trailer for ‘Prediction Games’ documentary
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I am pre-training a custom flow matching diffusion action prediction model using Lerobot dataset (only 2k episodes) I am getting these spikes in loss around ~600-700 global steps Can anyone help me understand these spikes ? Is it normal ? What can be the probable cause of it ? https://preview.redd.it/d3urde8c0udh1.png?width=2808&format=png&auto=webp&s=6b80e27dc2aa4d48d531814fa36d0756cdc0678a https://preview.redd.it/yfumi60n0udh1.png?width=2810&format=png&auto=webp&s=f7a4076ff3f46e9fb7d82c874752d12e1170d40a submitted by …
I have worked alongside enterprise technology for more than 30 years and watched AI evolve from a lab experiment into the modern boardroom’s core focus. However, the last few years of implementing AI alongside our customers have delivered our most profound reality checks. The initial hype has faded, leaving CIOs to drive real enterprise value….
Always AI’s Fault: IBM took the unusual step of warning shareholders ahead of its financial results for the second quarter of 2026. Revenue is still growing slightly, but the industry’s AI-driven FOMO is expected to significantly affect the company’s prospects across some of its most important product lines. In a recent letter to investors, IBM…
“If any organization is capable of building orbital AI infrastructure, it is SpaceXAI,” he said, adding that its $55 billion investment in the 11-million-square-foot Gigasat factory will further strengthen that position. That build is set to begin as soon as late 2027. In the long term, space-based AI compute could enjoy benefits like abundant solar…
Chinese tech giant Huawei is reportedly entering the DRAM manufacturing business in a bid to cash in on the insane profitability of memory sales. Three firms – Micron Technology, SK hynix, and Samsung Electronics — account for 95% of the DRAM on the market worldwide. The rest is small players, mostly in China. One of…
A recent AWS GraphRAG deployment reduced drug research and development cycles in pharmaceutical environments by 87 percent. This acceleration is achieved by integrating previously separated proprietary databases into a unified and queryable knowledge graph. Historically, initial data gathering and screening phases took over six months per iteration, yielding a low five percent success rate. Crucial…