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The New Cybersecurity War Is Being Fought in Prompts
As AI systems gain access to emails, browsers, databases, and business tools, attackers no longer need to hack only the code. Sometimes Continue reading on Medium »
Is Our Society Mature Enough For AI?
Tech is neutral, and that s why we need politicsContinue reading on An Injustice! »
Top 10 AI Tools for eCommerce in 2026
If you run an online store, you ve probably noticed how much time repetitive tasks can take. That s where AI tools can make a real Continue reading on Medium »
The studio behind Pokémon struggles to find its voice in Beast of Reincarnation
You have to imagine that the team at Game Freak is bursting with ideas. The studio puts out new mainline Pok mon adventures with a machinelike precision. But every so often it launches a curious experiment, whether it's an action title about a militarized elephant or turning horse races into a card game, showing that it's capable of more than the latest generation of pocket monsters. That's part of what makes the idea of Beast of Reincarnation so enticing. Here is an established studio breaking free of the franchise it has become known for to make its take on a blockbuster action game. Unfortunately new ideas are in short supply in Beast, an … Read the full story at The Verge.
Qwen3.8-Max arrives with a bold claim: it outperforms GPT-5.6 Sol Max and Fable 5 on agentic computer use
Chinese e-commerce and cloud giant Alibaba s famed Qwen team of AI researchers last night unveiled Qwen3.8-Max, a new flagship 2.4-trillion-parameter mixture-of-experts (MoE) multimodal large language model (LLM) that targets one of the most competitive corners of the frontier AI market: autonomous software engineering and long-horizon enterprise work. If the company s published benchmarks hold up under broader independent testing, Qwen3.8-Max doesn t merely compete with today s leading proprietary models — it surpasses several of them on some key benchmarks in agentic computing.Most notably, Qwen reports that Qwen3.8-Max scores 86.1 on the OSWorld-Verified benchmark measuring how well ahead of GPT-5.6 Sol Max (83.2) and Fable 5 (85.0), while also posting the highest reported score on PaperBench and leading or remaining highly competitive across software engineering, research reproduction, multimodal reasoning, and visual web development benchmarks.The release also signals a potentiall
Interviewing AI – What It Cannot Experience
After misalignment, a more direct questionContinue reading on Medium »
Agent Evaluation: How Do You Know Your Agent Actually Works?
Series: Agentic AI From Zero to Production | Post #8Continue reading on Medium »
There Will Come Soft Rains (1950) [pdf]
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After killer quarter, Palantir CEO Alex Karp calls AI industry ‘Marxist’
After a quarter that delivered $1 billion in profit, Palantir CEO Alex Karp on Monday once again warned that AI frontier labs are too untrustworthy for enterprises.
Asana's AI agents share memory across your company — but not your secrets
Enterprise teams building AI agents keep hitting the same wall: a chatbot that can answer a prompt but can t remember what the last five people asked it, and can t tell you whether last month s version actually worked.In a fireside chat with VentureBeat s Sam Witteveen at VB Transform 2026, Asana s chief product officer, Arnab Bose, unpacked how his team tackled this problem to build a new operating system: Agentic Work Management (AWM). The product treats AI agents as coachable teammates that operate alongside humans rather than as one-to-one assistants.For product builders and developers trying to move beyond basic integrations, Bose provided a look under the hood. He detailed how Asana engineered AWM, offering a blueprint for solving real-world bottlenecks and building agentic systems at scale.The Work Graph: 18 years of company data, repurposedTo build an operating system for human-agent teams, Asana needed a ready-made enterprise context graph. They built AWM on top of their 18-ye
Interviewing Engineers in the AI Era: Lessons from a Year of Rebuilding
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Snap CEO sidesteps Specs preorder questions on Q2 earnings call
When asked about product-market fit, Spiegel said he believes mass-market consumer adoption won't occur until the end of the decade.