Gates Foundation Pledges $1B for AI Access, Microsoft Unveils AI Code of Conduct

The Gates Foundation announced a $1 billion commitment over two years to expand AI access in underserved communities, with Bill Gates warning that AI could deepen inequality without deliberate action. The funding splits roughly 40% for education tools, 40% for healthcare, 10% for agriculture, and 10% for digital infrastructure and language datasets. The foundation is partnering with OpenAI, Anthropic, Google.org, and Microsoft on projects ranging from rural health diagnostics to math retention tools. The announcement coincided with United Nations meetings on AI governance led by Secretary-General António Guterres.

Microsoft published a draft Humanist AI Code of Conduct for its MAI models, establishing non-negotiable safety rules that cannot be overridden by users or developers. The framework separates defensive cybersecurity from offensive cyber operations and requires AI agents to operate within authorized scope under human command. Microsoft opened a six-week public consultation period and plans to release a revised version later this year to guide model development from 2027 onward.

Nvidia overhauled its RTX 5090 for AI workloads and launched the new RTX Pro 5500 GPU featuring 84GB of GDDR7 memory across a 448-bit interface. The card delivers up to 1,400 GB/s of bandwidth and is positioned to fill the gap between the RTX Pro 6000 and RTX Pro 5000. Its memory bandwidth sits 4% ahead of the Pro 5000 and 22% behind the Pro 6000 and GeForce RTX 5090.

Key Takeaways

  • <ul><li>Gates Foundation pledges $1 billion over two years to expand AI access in low-income communities</li><li>Funding allocates 40% to education, 40% to healthcare, 10% to agriculture, and 10% to language datasets and infrastructure</li><li>OpenAI is investing $50 million to train health workers in Rwanda as part of the partnership</li><li>Microsoft releases draft Humanist AI Code of Conduct with non-negotiable safety rules for MAI models</li><li>Nvidia launches RTX Pro 5500 GPU with 84GB GDDR7 memory targeting AI workloads</li><li>Snowflake reports $1.55 billion in Q2 fiscal 2027 sales and completed $3.7 billion share buyback</li><li>UBS advises investors against panicking over chip stock sell-off driven by AI development concerns</li><li>Senators Hawley and Blumenthal push for a federal AI regulation bill creating a new oversight agency</li><li>House Science Committee plans hearing on AI risks as experts predict the field could reach $1 trillion by 2030</li><li>US Virtual Guard partners with Lumana to add live human monitoring to AI video security systems</li></ul>

Gates Foundation pledges $1B to ensure AI helps reduce inequality

Bill Gates warned that AI could deepen inequality if world leaders do not act now. His foundation is pledging $1 billion over two years to expand AI access for underserved communities. The money will support health, education, agriculture, and language data projects. The foundation is working with companies like OpenAI, Anthropic, and Google.org. The announcement came ahead of United Nations meetings on AI governance.

Gates Foundation invests $1B in AI for health, education, and farming

The Gates Foundation is committing at least $1 billion over two years to AI tools for health workers, farmers, and teachers. About 40% of the funds will go to education, 40% to healthcare, 10% to agriculture, and 10% to digital infrastructure. The foundation highlighted AI tools like Penda Health in Kenya and Kiddom Atlas in the U.S. that already show strong results. CEO Mark Suzman said AI efficiencies cannot replace funding cut by governments.

Gates Foundation pledges $1B to expand AI access worldwide

Bill Gates urged technology companies and world leaders to ensure AI reduces inequality. The Gates Foundation is pledging $1 billion to expand access to AI tools. It has already committed $100 million to build data sets in underserved languages. OpenAI is investing $50 million to train health workers in Rwanda. The foundation is also working with Anthropic and Google.org on vaccines, crops, and language frameworks. The report was released before United Nations meetings on AI governance.

Gates Foundation to invest $1bn to close AI gap between rich and poor

The Gates Foundation plans to invest $1 billion over two years to expand AI access in low-income communities. Bill Gates said the market alone will not ensure AI benefits those who need it most. The report calls for AI tools that work in all languages and use data from poor regions. About 40% of the funds will support education tools, 40% will go to healthcare, and the rest will fund agriculture and language datasets. The foundation warned that AI error rates can be much higher in non-English languages.

Gates Foundation warns AI could deepen inequality, pledges $1B to expand access

Bill Gates warned that AI could become the greatest equalizer or the worst source of injustice. The Gates Foundation is pledging $1 billion to expand AI access in underserved areas. The foundation announced $100 million to build data sets in local languages. OpenAI, Microsoft, Google.org, and Anthropic are partnering on health, agriculture, and education projects. The report was released before United Nations meetings where Secretary-General António Guterres is pushing for global AI governance.

Gates Foundation pledges $1 billion to expand AI for education health and farming

The Gates Foundation announced a $1 billion plan to spread AI tools to teachers, healthcare workers, and farmers over the next two years. Forty percent of the money will fund AI education programs, including a math retention tool. Another 40 percent will support healthcare tools, such as a smartphone-attached ultrasound device for rural doctors. Ten percent will help farmers measure soil health and predict crop outcomes, and the remaining ten percent will expand the languages AI operates in.

Microsoft AI Code of Conduct sets limits on cyberattacks and autonomous agents

Microsoft AI published a draft Humanist AI Code of Conduct for its MAI Models, setting safety rules that cannot be overridden. The code separates defensive cybersecurity work from offensive cyber capabilities and requires models to follow a chain of command. AI agents must stay within authorized scope, use minimum privilege, and cannot escalate their own access. Microsoft opened a six-week public consultation period and plans to release a revised version later this year to guide 2027 model development.

Microsoft publishes draft rules to keep AI models under human control

Microsoft AI released the first draft of its Humanist AI Code of Conduct, a training manual for developing MAI models. The framework is built around the idea of Humanist Superintelligence, where AI stays under human direction and control. It establishes non-negotiable restrictions on helping with weapons, offensive cyber operations, and harmful manipulation. The company is seeking public feedback and plans to publish an updated version later this year to guide model development from 2027 onward.

Nvidia overhauls RTX 5090 for AI demand with new RTX Pro 5500 GPU

Nvidia redesigned the RTX 5090 for AI workloads and launched the RTX Pro 5500 with 84GB of GDDR7 memory in a clamshell PCB layout. The card uses 28 memory chips running at 25 Gb/s across a 448-bit interface for up to 1,400 GB/s of bandwidth. Its memory bandwidth is only 4 percent ahead of the RTX Pro 5000 and 22 percent behind the RTX Pro 6000 and GeForce RTX 5090. Nvidia aims to fill the gap between the RTX Pro 6000 and RTX Pro 5000 with this new card.

Snowflake raises AI guidance and completes $3.7 billion share buyback

Snowflake reported second-quarter fiscal 2027 results with $1,546.79 million in sales and a reduced net loss of $191.72 million. The company completed a $3,697.59 million share repurchase program that retired 25,378,000 shares. Management credited stronger performance to growing adoption of AI offerings including CoCo and CoWork. Snowflake also raised full-year fiscal 2027 product revenue and operating margin guidance, signaling confidence in its growth prospects.

US Virtual Guard teams with Lumana for live AI video monitoring

US Virtual Guard partnered with Lumana to add live human monitoring to AI video security. Lumana's AI watches all cameras and flags events that need attention. Trained agents then verify each event and take action like warning people on site or calling law enforcement. The service is available immediately through Lumana account teams.

UBS says chip stock panic is overdone despite AI concerns

UBS told investors not to panic over recent chip stock drops. The drop happened after some US AI labs backed a proposal to slow advanced AI development. UBS analysts believe the industry will keep investing in AI, just maybe at a slower pace. They said the proposal is still new and its effects are unclear.

Lawmakers debate AI safety and federal oversight on Capitol Hill

Lawmakers on Capitol Hill are debating how to oversee artificial intelligence. Tech leaders warn that AI development is moving faster than safety rules. The House Science Committee plans a hearing next week to discuss AI risks and benefits. Experts predict the AI field could be worth 1 trillion dollars by 2030.

Nvidia and chip stocks try to recover after AI sell-off

Chip and hardware stocks tied to AI tried to rebound Tuesday after a sharp sell-off on Monday. Nvidia stock fell 3.4 percent to 210.96 on Monday over fears that slowing AI development would hurt the industry. The concerns followed calls from AI leaders to slow down advanced model development.

Hawley and Blumenthal push AI regulation bill in Congress

Senators Josh Hawley and Richard Blumenthal are pushing for a vote on their AI regulation bill. The bill would create a new federal agency to oversee AI development. It also requires companies to share their AI training data and aims to prevent bias in AI decisions. The push comes as concerns grow about AI impacts on hiring and education.

Grounded Adjudication of Variations across Extracted TimeLines (GAVEL): Comparing Clinical Timelines Against Their Case Reports

Existing pipelines for clinical timeline extraction from case reports are evaluated using an expert reference and are limited by imperfect reference annotations and imprecise event alignment. We developed GAVEL, an LLM judge protocol that compares two timelines with the case report and returns a discrepancy type, verdi

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