Artificial intelligence

Artificial intelligence

Simply having data isn't enough-how you organize, govern, and activate it makes all the difference. Leading organizations implement three specific practices: connect all your data together, label and organize it so it's easy to find, and set controls to ensure only the right people (or agents) have access to sensitive data sets.

Our war fighters are leveraging a variety of advanced AI tools. These systems help us sift through vast amounts of data in seconds so our leaders can cut through the noise and make smarter decisions faster than the enemy can react. Humans will always make final decisions on what to shoot and what not to shoot and when to shoot, but advanced AI tools can turn processes that used to take hours and sometimes even days into seconds.

According to the new post, AI credits can now be used for Antigravity, with subscriptions providing some built-in credits while further credits are available for purchase as needed, at a cost of $25 for 2,500. Exactly what a credit is worth when used with Antigravity is not described in the documentation.

Marvell reported Q4 FY2026 revenue of $2.22 billion, beating Wall Street expectations near $2.21 billion. Non-GAAP EPS came in at $0.80 versus the $0.79 consensus estimate. Those are modest beats on the headline numbers, but Cramer's "$1 billion more in sales than anyone thought" framing appears to reference the magnitude of data center revenue relative to where expectations stood earlier in the year.

Nvidia posted $68.1 billion in revenue, up 73% year over year, with Data Center Networking revenue surging 263% to $10.98 billion, driven by NVLink infrastructure scaling across hyperscalers. EPS came in at $1.62 against a consensus estimate of $1.52. Full-year free cash flow hit $96.6 billion.

Google AI mode has added an 'Ask about this' option above the sources where all URLs are displayed. Clicking on 'Ask about' here automatically pulled a new prompt into the search box.

Four generations, MTIA 300, 400, 450, and 500, have been produced within less than two years, with several already in production and others scheduled for mass deployment in 2026 and 2027. The quick pace is deliberate. Rather than betting on a single chip generation and waiting years for results, Meta has adopted a roughly six-month cadence per generation, using modular chiplet architecture to enable incremental upgrades without replacing entire rack systems.

There's a big bet that the quality of software that gets produced is going to improve exponentially. If that doesn't happen, that's a big threat. Many AI coding tools can generate apps quickly, but the output can still be buggy, fragile, or difficult to scale. The vibe coding industry depends on those systems getting better.

CEO Elon Musk announced Macrohard - a tongue-in-cheek reference to 'Microsoft' - in August. Since 'software companies like Microsoft do not themselves manufacture any physical hardware, it should be possible to simulate them entirely with AI,' he said on X at the time. The effort has aimed to build an AI white-collar worker.

If you sell the tool, you're in a race against the model. But if you sell the work, every improvement in the model makes your service faster, cheaper, and harder to compete with. A company might spend $10K a year for QuickBooks and $120K on an accountant to close the books. The next legendary company will just close the books.