62 place 1
Microsoft is fundamentally restructuring its Windows operating system to become what executives call the first "agentic OS," embedding the infrastructure needed for autonomous AI agents to operate securely at enterprise scale — a watershed moment in the evolution of personal computing that positions the 40-year-old platform as the foundation for a new era of human-machine collaboration.The company announced Tuesday at its Ignite conference that it is introducing native agent infrastructure directly into Win
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VentureBeat
Cesar Carvalho founded Wellhub, a corporate wellness platform. This is how he thinks companies should approach employee wellbeing. Read more ›
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The Education Department just gave defaulted student-loan borrowers more time to figure out payment plans and ensure their tax refunds aren't seized. Read more ›
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Cassindy Chao had a career spanning JPMorgan and Goldman Sachs, but never felt she thrived. Now she's a matchmaker, and feels 100% more fulfilled. Read more ›
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California Gov. Gavin Newsom said he's headed to Davos this week to "draw a clear line between democratic capitalism and crony capitalism." Read more ›
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343
This week Google "unveiled a set of tools for retailers that helps them roll out AI agents," reports the Wall Street Journal, The new retail AI agents, which help shoppers find their desired items, provide customer support and let people order food at restaurants, are part of what Alphabet-owned Google calls Gemini Enterprise for Customer Experience. Major retailers, including home improvement giant Lowe's, the grocer Kroger and pizza chain Papa... Read more ›
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VentureBeat
Presented by NetSuiteMost companies racing from startup to an industry leader face a choice: limp along with scrappy early systems or endure a costly platform migration.DoorDash did neither. The local-commerce giant scaled from its 2013 founding through IPO and global expansion — acquiring the Helsiniki-based technology company Wolt in 2022 and UK-based Deliveroo in 2025 — while keeping its original Oracle NetSuite business system. Today, it serves over 50 million... Read more ›
60
In the chaotic world of Large Language Model (LLM) optimization, engineers have spent the last few years developing increasingly esoteric rituals to get better answers. We’ve seen "Chain of Thought" (asking the model to think step-by-step and often, show those "reasoning traces" to the user), "Emotional Blackmail" (telling the model its career depends on the answer, or that it is being accused of sexual misconduct), and complex multi-shot prompting frameworks.But... Read more ›
33
Anthropic's open source standard, the Model Context Protocol (MCP), released in late 2024, allows users to connect AI models and the agents atop them to external tools in a structured, reliable format. It is the engine behind Anthropic's hit AI agentic programming harness, Claude Code, allowing it to access numerous functions like web browsing and file creation immediately when asked.But there was one problem: Claude Code typically had to "read"... Read more ›
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The two big stories of AI in 2026 so far have been the incredible rise in usage and praise for Anthropic's Claude Code and a similar huge boost in user adoption for Google's Gemini 3 AI model family released late last year — the latter of which includes Nano Banana Pro (also known as Gemini 3 Pro Image), a powerful, fast, and flexible image generation model that renders complex, text-heavy... Read more ›
10
In an impressive feat, Japanese startup Sakana AI’s coding agent ALE-Agent recently secured first place in the AtCoder Heuristic Contest (AHC058), a complex coding competition that involves complicated optimization problems — and a more difficult and perhaps telling challenge than benchmarks like HumanEval, which mostly test the ability to write isolated functions, and which many AI models and agents now regularly pass with ease ("benchmark saturation"). Sakana's accomplishment with ALE-Agent... Read more ›
7
The German AI startup Black Forest Labs (BFL), founded by former Stability AI engineers, is continuing to build out its suite of open source AI image generators with the release of FLUX.2 [klein], a new pair of small models — one open and one non-commercial — that emphasizes speed and lower compute requirements, with the models generating images in less than a second on a Nvidia GB200. The [klein] series,... Read more ›
6
Kilo Code, the open-source AI coding startup backed by GitLab cofounder Sid Sijbrandij, is launching a Slack integration that allows software engineering teams to execute code changes, debug issues, and push pull requests directly from their team chat — without opening an IDE or switching applications.The product, called Kilo for Slack, arrives as the AI-assisted coding market heats up with multibillion-dollar acquisitions and funding rounds. But rather than building another... Read more ›
3
Rather than asking how AI agents can work for them, a key question in enterprise is now: Are agents playing well together? This makes orchestration across multi-agent systems and platforms a critical concern — and a key differentiator. “Agent-to-agent communications is emerging as a really big deal,” G2’s chief innovation officer Tim Sanders told VentureBeat. “Because if you don't orchestrate it, you get misunderstandings, like people speaking foreign languages to... Read more ›
1
As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus: memory. Not compute. Not models. Memory.Under the hood, today’s GPUs simply don’t have enough space to hold the Key-Value (KV) caches that modern, long-running AI agents depend on to maintain context. The result is a lot of invisible waste — GPUs redoing work they’ve already done, cloud costs climbing, and... Read more ›
1
Alfred Wahlforss was running out of options. His startup, Listen Labs, needed to hire over 100 engineers, but competing against Mark Zuckerberg's $100 million offers seemed impossible. So he spent $5,000 — a fifth of his marketing budget — on a billboard in San Francisco displaying what looked like gibberish: five strings of random numbers.The numbers were actually AI tokens. Decoded, they led to a coding challenge: build an algorithm... Read more ›
1
Most popular sources
Business Insider
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46% 31 |
Tom's Hardware
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20% 17 |
Vox
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4% 2 |
Slashdot
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4% 1 |
Android Authority
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3% 0 |
| View sources » | |
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18.01.2026 06:27
Last update: 06:20 EDT.
News rating updated: 13:20.
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