New York Times lawyers quote a 2023 Microsoft memo calling AI scraping 'the largest theft of labor in human history' in briefs a court unsealed September 17. For teams training on unlicensed data, the case puts dataset custody and internal email in the same record.
Reality
- Evidence45
- Adoption
- Insufficient
- Hype gap+15
- Incentives70
- Confidence40
Authors suing OpenAI filed a 162-page statement of facts drawn from its Slack threads and paper drafts, including a 2022 project to delete LibGen data. Any team training on outside data should expect its dataset codenames and cleanup channels to be read the same way.
Reality
- Evidence55
- Adoption
- Insufficient
- Hype gap+15
- Incentives70
- Confidence50
Generalist AI's arms improvised through a missing tool and a bad grip in front of a reporter. Improvisation is the right test; the account still carries no success rate, price or customer.
Reality
- Evidence50
- Adoption
- Insufficient
- Hype gap+35
- Incentives60
- Confidence55
In IEEE Spectrum's account of the 2026 compute market, reasoning and agentic workloads have pushed serving toward memory-heavy silicon, and Amazon now runs a single inference job across two vendors' chips.
Reality
- Evidence47
- Adoption55
- Hype gap+24
- Incentives66
- Confidence46
The paper reports matching GPT-4 with up to 98 percent less spend. The saving rests on a 150x spread in prompt prices between providers and on a triage rule fitted separately per dataset and task.
Reality
- Evidence55
- Adoption
- Insufficient
- Hype gap+30
- Incentives60
- Confidence55
A 15M-parameter model streams English text on a 2007 PSP at about one token per second. That is the extreme end of a sizing rule. The harder half of that rule is checking whether the file that fits is a format its own maintainer recommends.
Reality
- Evidence38
- Adoption31
- Hype gap+12
- Incentives58
- Confidence46
Hugging Face says an autonomous agent system drove the campaign end to end. Its hosted models then refused to help with the forensics, so the analysis ran on open weights in-house.
Reality
- Evidence54
- Adoption42
- Hype gap+24
- Incentives66
- Confidence52
A CUDA and ROCm tutorial ends on the unglamorous half of Mixture of Experts: two all-to-all collectives per layer, optimizer state pushed onto PCIe, and launch overhead you have to design away.
Reality
- Evidence24
- Adoption
- Insufficient
- Hype gap+42
- Incentives32
- Confidence58