Anthropic · OpenAI · Intel · TSMC · GPT · Japan · Tom's Hardware
Astra's release prompted OpenAI to release a blog post, explaining how it believed that Astra was aligned internally
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OpenAI has also claimed to have solved one of the Millennium Problems.
Key facts
- Get a full year of access for $29, or from $7 per-month
- What Jeff finds out after a dizzyingly large number of benchmarks across devices like an RTX 5090, Mac Mini, DGX Spark, and Strix Halo systems is that configuration matters as much as the final, raw
- The industry is collectively aiming to move towards a shift in High-NA EUV, particularly in the usage of 6×12-inch photomasks
- The original "golden" price point for many enthusiasts, around $1,000, looks a little lonely as a result
Summary
If you're not yet subscribed to Tom's Hardware Premium, they've got you covered with this weekly roundup of everything they've posted throughout the week. To kick the week off, their resident GPU guru and all-round inference extraordinaire Jeff Kampman undertook the laborious task of running Qwen 3.8 27B across several devices you might be able to afford. What Jeff finds out after a dizzyingly large number of benchmarks across devices like an RTX 5090, Mac Mini, DGX Spark, and Strix Halo systems is that configuration matters as much as the final, raw, tokens-per-second outputs that many clamor over on social media. Benchmarking Qwen 3.8 27B on RTX 5090 and beyond, VRAM capacity alone can't overcome severe software and inference engine bottlenecks. Andrew Freedman headed out to IFA last week, where they saw a slew of new announcements and devices from companies.