LATEST AI NEWS
AI NEWS
Microsoft Reimagines Copilot With Home, Code, and Autopilot
AI NEWS
Meta Opens Early Access to New Muse Features
HEALTH
Can You Trust the Story AI Tells About Your Health?
SOCIAL MEDIA
Jensen Huang Questions Whether Kids Still Need Basic Math
Google Tests Letting Gemini Call Businesses for You
Google is testing Call for Me, a feature that lets Gemini phone businesses on your behalf to check stock, book tables, or move appointments. It rolls out first to US Pixel 11 owners with a Gemini subscription.
Source: TechCrunch
AI NEWS
Microsoft Reimagines Copilot With Home, Code, and Autopilot
Microsoft has unveiled what it calls the new Copilot, a rebuilt version of its workplace assistant organized around three additions: Home, Code, and Autopilot. The company frames the update as a way to connect the tools people already use with agents that can build software, run tasks, and keep working on their own.
Home becomes the starting point, pulling Chat and Cowork into one view alongside Office in Copilot, which brings Word, Excel, and PowerPoint directly into the app. From Home, users can ask Copilot to draft a brief, model a budget, or build a deck, and it produces a real, editable file that a whole team can work on together.
Code lets people describe an app, dashboard, tracker, or workflow in plain language and have Copilot build it. It is powered by the same technology as GitHub Copilot, runs in a sandboxed environment, and can be hosted inside a company's own Microsoft 365 tenant through the new Copilot Managed Runtime.
Autopilot, previously called Scout, is a persistent agent with its own identity, memory, and workspace. Give it a role and a goal and it watches channels, follows up on threads, and runs recurring work without waiting for a prompt. Microsoft also added FinOps for AI tools so admins can track and cap spending across these agents.
Availability is staged. Home and Code start rolling out through the Frontier program in the coming weeks, with a preview for Microsoft 365 Premium and Pro subscribers later this year, while Autopilot enters private preview at the end of the month. Much of the lineup remains in preview, so broad access is not here yet.
Source: Microsoft
Robi's Insights:
Microsoft is betting the unit of work is shifting from files to small, built-on-demand apps anyone can spin up.
Autopilot moving on from Scout signals a push toward agents that act on a schedule, not just answer when asked.
Bundling Word, Excel, and PowerPoint into Copilot is aimed squarely at keeping you out of rival chat apps.
Usage-based billing for Cowork, Code, and Autopilot means the fun agents are the ones that grow your invoice.
FinOps for AI arriving alongside the features is a quiet admission that agent spend can get away from you fast.
Almost everything is preview or Frontier-only, so treat the demo as a roadmap, not something to deploy Monday.
Robi's Remarks:
"Microsoft named an agent Autopilot and promised it works while you sleep. Bold branding for software whose main job is emailing Kevin for a status update at 2 a.m."
OTHER IN AI NEWS
Meta Opens Early Access to New Muse Features: Meta is inviting AI enthusiasts to try upcoming Muse features first by asking the assistant to add them to a waitlist, following its Connect 2026 reveals that included a video-chat avatar, more shopping connectors, an expanded Mac app, and Muse on its AI glasses.
Source: TechCrunch
SOCIAL MEDIA
Jensen Huang Questions Whether Kids Still Need Basic Math
Nvidia chief executive Jensen Huang has set off a debate about what schools should still teach, after suggesting on a New York Times podcast that basic math may matter less as AI grows more capable. He argued that routine skills such as long division, multiplication tables, and square roots can fade without much harm, freeing people to focus on higher-level thinking.
Huang pointed to a Chinese study of more than 26,000 students in which AI raised homework grades by 18 percent and cut completion time by 30 percent. The same study found a downside: monthly exam scores fell 20 percent and long-term skill retention dropped by 18 to 24 percent, a reminder that faster homework did not translate into deeper learning.
In his telling, the multiplication table is starting to be forgotten and doing square roots is a struggle, and he said he does not think it matters. Critics disagreed sharply, warning that skipping the basics erodes the mental foundations people rely on and leaves them dependent on tools they cannot check.
The exchange lands on a familiar tension: whether offloading routine tasks to machines builds capacity for harder problems, or quietly hollows out the skills that make those problems solvable in the first place. For educators and employers, the practical question is less about square roots and more about what should count as core competence when the calculator can also reason, explain, and argue back.
Source: The News International
🤖 Robi's Take :
"A chip CEO announcing that math is optional is not neutral career advice. Nvidia sells the machines doing the arithmetic, so 'you will not need this' doubles nicely as a sales pitch."
OTHER IN SOCIALS
Claude Cracks a Nine-Loop Physics Calculation: Anthropic says its Claude model, running almost unsupervised, completed a nine-loop scattering-amplitude calculation in planar N=4 super Yang-Mills theory for roughly $1,000 to $2,000, breaking a three-year record held by physicist Lance Dixon's team, who verified the result.
Source: BigGo Finance
HEALTH
Can You Trust the Story AI Tells About Your Health?
A Wall Street Journal opinion piece by David A. Shaywitz asks a pointed question as wearables and AI increasingly promise to turn personal data into health guidance: when a system tells a story about your health, is that story actually true? The framing arrives as smart-ring maker Oura heads toward a public listing on the promise of turning everyday measurements into trusted, actionable insights.
That promise, Shaywitz argues, has long struggled to survive contact with biology. Measurements taken many steps upstream of an actual outcome often fail to predict what will happen to a patient, and that gap is exactly where a confident, AI-generated health narrative can quietly mislead the person reading it.
He points to two recent cardiovascular trials to make the case. Novo Nordisk's ziltivekimab sharply lowered inflammatory biomarkers yet did not reduce cardiovascular death, heart attack, or stroke. Novartis's pelacarsen lowered Lp(a), a lipoprotein strongly linked to heart disease, without reducing cardiovascular events at all.
The point is not that measurement is useless. It is that a number moving in the right direction is not the same as a life improved, and biology rarely reads as cleanly as a dashboard suggests.
The better AI health tool, Shaywitz suggests, would be one that is honest about uncertainty, conveying what it does not know as clearly as what it does, rather than one that packages every reading into a reassuring and tidy story.
Source: The Wall Street Journal
🤖 Robi's Take :
"A ring that says you slept great and an AI that spins it into a wellness saga are both very confident. Biology, inconveniently, did not read the marketing copy."
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