Search: “bill gates”

4 stories

Searchkeyword smart Sortlatest hot importance relevance

DomainAll Cyber AIWindow24h 3d 7d 30d AllIn the wild Important only Show duplicates

CategoryAll Policy & legal 31 Vulnerability 25 Exploit / PoC 16 Data breach 15 Phishing & fraud 13 Threat actor 12 Ransomware 11 Malware 7 Industry 6 AI safety & security 6 AI industry 4 AI policy 3 AI tools & infra 3 Research 2

SeverityAll critical 50 high 30 medium 18 low 38 info 21

After warning AI is too dangerous, Bill Gates bets a billion on its upside

Gates Foundation pledges at least $1 billion over two years to widen AI access in health, education and agriculture, warning of a rich-poor divide.

The Gates Foundation's 2026 Goalkeepers report outlines spending of at least $1 billion over two years on AI access in health, education and farming. Gates notes over 90% of early LLM training data was English, with speech recognition error rates below 6% in English but above 60% in Yoruba. Cited projects include Penda Health clinics in Kenya (16-point diagnostic accuracy gain), Gemini Guided Learning in Sierra Leone (1.7 years of learning gains in eight weeks), and India's MahaVISTAAR reaching 740,000+ farmers at under 18 cents per person.

The DecoderSep 15, 14:26 UTC · 1d agoAI industry1

Schools are catching on to Big Tech’s playbook

A new book warns AI firms are repeating Big Tech's education playbook, as New York City and Los Angeles restrict classroom AI use.

NYT education reporter Natasha Singer's book 'Coding Kids' documents how Apple, Microsoft and Google embedded proprietary curricula and Chromebooks in US schools over 15 years, building product loyalty and market position. Google's Chromebook and Classroom dominance positioned it to promote generative AI in classrooms. New York City banned AI in elementary and middle schools and Los Angeles imposed broader restrictions including high schoolers, as parents and teachers push back against screens and AI in classrooms.

The Verge · AISep 10, 19:44 UTC · 6d agoAI industry

Meta Introduces Muse, a Personal AI Agent That Runs on Its Own Dedicated Secure Cloud Computer

Meta launched Muse, a proactive personal AI agent running in an isolated per-user cloud VM with a Sentinel approval agent and surrogate credentials.

Meta introduced Muse, a consumer agent that performs long-horizon tasks like email, travel booking, and bill negotiation, rolling out in the US on iOS, Android, muse.ai, and WhatsApp with free and paid tiers. Each user gets a dedicated Muse Secure VM where the agent runs in a systemd-nspawn cell, while a separate Sentinel agent approves every network request at layer 4/7 and injects real credentials only at the network boundary. The underlying Muse Spark 1.3 model, which Meta says cuts tool calls by ~20% and tokens by ~25% versus 1.2 and is near state-of-the-art on prompt-injection resistance, is available via Meta Model API, with open weights on the roadmap.

MarkTechPostSep 9, 04:38 UTC · 8d agoAI industry

Open-Source AI & Open Models Reading List

Interconnects publishes a curated open-model reading list covering release strategy, US-China competition, adoption data, and a narrowed 4-6 month open-closed frontier gap.

The list, updated September 11, 2026, compiles essays on open-model strategy, licensing gradients, safety of open weights, adoption data, and Chinese open-source history. It notes leading open models have come from Chinese labs since roughly 2024, citing Kimi K3 and GLM-5.2/5.3, and that the open-closed gap has narrowed to roughly 4-6 months. It also documents Western adoption of Chinese models, including Perplexity's use of DeepSeek R1 and Thomson Reuters moving to Qwen, which has drawn lawmaker probes at DoorDash, Airbnb, Anysphere/Cursor, and Apple.

Interconnectsupdated Sep 16, 17:41 UTC · 19h agofirst Sep 11, 12:36 UTC · 6d agoAI industry 20 sources1