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Enterprise AI needs more than an AI engineer11:06 Anthropic has a $100 million plan to help enterprises get more from AI. No, it doesn’t involve agents. It involves people. Lots of people. How retro. On October 2, the company announced Claude Frontier Academy , with a goal of training 10,000 frontier deployed engineers by the end of 2027. Participants work through a simulated deployment, including use-case selection, security review, and handove… The local computing rebellion11:06 Take a close look at your monthly software bills. The charges that once seemed small and separate can add up to a new kind of dependency: subscriptions for word processing, creative tools, storage, and now AI features bundled into products, whether you asked for them or not. For many people, it’s no longer a choice between buying software or renting it. The software they used to run on a PC incre… When ‘access denied’ becomes an agent’s next objective11:06 One line from a recent AI incident caught my attention. Describing how an OpenAI agent got into a Medicare statistics portal, Australian Prime Minister Anthony Albanese said it “ didn’t accept no for an answer .” It sounds almost funny. In software terms, though, it points to a real problem. An access control said no, and the agent treated the answer as information about how to continue. “The AI … Hands-on with Antigravity 2: No IDE, just agent chat19.října The original Antigravity was an IDE with native integration for Google’s generative AI models. With Antigravity 2, Google offers a refashioned version of the product that it describes as a “ standalone desktop command center ” for agents. Antigravity 2 is closer to projects like LM Studio than a full-blown IDE. It provides a streamlined, chat-centric interface for working with models and agents, … Are clearinghouses the answer to the AI hacking threat?19.října This summer, the White House rolled out the Gold Eagle Initiative , billed as an “unprecedented” effort to coordinate cybersecurity vulnerability disclosure across government and industry. It was easy to miss this news with all of the other safety concerns in the world of AI, but the timing isn’t a coincidence — and neither is the terminology. Gold Eagle is just one in a fast-growing category of … From pilots to production: The four disciplines that make generative AI work19.října This series lays out a practical framework for taking generative AI (GenAI) from pilots to dependable production systems in the enterprise. It focuses on four disciplines that determine long-term success: engineering for scale and reliability, designing agentic systems with clear constraints, embedding governance directly into build and runtime controls, and measuring ROI at the workflow level wi… Bank of America spent millions on anti-money-laundering tech, but not enough to avoid a $1.2B fine16.října Bank of America has had to spend big on IT in response to an AI security audit and findings that its anti-money-laundering (AML) controls were lacking. The bank was fined a whopping $1.2 billion for money laundering offences this week, after banking authorities identified a lax attitude to compliance. “We understand the seriousness of compliance, and we are responsible for getting it right,” Bank… The $690 billion cloud spending spree16.října Every quarter, I look at the capital expenditure numbers coming out of the major cloud providers, and every quarter, they manage to surprise me. This time, though, we’ve crossed into territory that’s genuinely hard to process. The five biggest US cloud and AI infrastructure providers (Microsoft, Alphabet, Amazon, Meta, and Oracle) have collectively committed to spending between $660 billion and $… Pop the champagne, Python 3.15 is here!16.října The best Python yet isn’t just faster than before. It’s also smarter at telling you what’s wrong, better at letting you profile applications, and loaded with new language features to give you a better programming experience. Top picks for Python readers on InfoWorld The best new features in Python 3.15 Python 3.15 is now GA, and it’s the best Python yet. Get your hands on its improved JIT compila… Cyberattack AIs must be trained only on air-gapped systems, hundreds of AI researchers say16.října Current security procedures for training AI models are inadequate, hundreds of AI researchers have warned governments and the AI community. They are calling for tougher rules and the establishment of a new international body overseeing best practice for AI development. In an open letter the AI specialists — 487, at time of publication, including many senior academics — called for more AI safety r… TypeSafe’s Jev ‘even more susceptible to attack’ than LLMs, says security vendor16.října Although the Jev model rolled out last month by TypeSafe claims to have significant advantages over traditional LLMs, a security report published Wednesday argued that its streamlined approach makes it more vulnerable to some kinds of attack, compared to traditional LLMs. “In some cases, [Jev] is even more vulnerable to attacks, with both adversarial text attacks and prompt injection being able t… ServiceNow makes it easier to build AI agents, gives them verifiable identities15.října ServiceNow is giving its AI Control Tower new features to make AI agents more governable — and a new name, Super Intelligence Control Tower (SICT), to please the US President. It is also updating EmployeeWorks to make building AI agents easier. AI Passport, a new component of SICT, gives every agent, whether from ServiceNow or a third party, a verifiable identity, and provides runtime control ove… Google aims to make BigQuery spending on AI functions more predictable with token quotas15.října Google has made daily token quotas generally available for BigQuery’s generative AI functions to give enterprises a way to limit AI consumption by project and individual user. These quotas, which can be managed via the IAM and Admin tab in the Google Cloud Console, cover both input and output tokens at the project and individual-user levels per day and apply to the AI.GENERATE, AI.GENERATE_TABLE,… Your AI agent needs more than memory. It needs reliable state15.října Most teams building AI agents are pouring effort into better memory, longer context windows, conversation summaries, retrieval systems that pull up anything the agent has ever seen. These are useful tools. But they do not solve the problem of knowing whether an action actually completed. Memory tells an agent what happened. It doesn’t tell the agent what’s true right now. And for any agent that t… Building Fabric Apps with Microsoft’s Rayfin15.října Using vibe coding to scratch an itch has many of the same issues as using low-code and no-code development tools. That’s not surprising. Putting together something quickly to solve a specific problem lacks the level of discipline of software engineering, introducing inefficiencies that come from not following architectural guidelines and policies. I recently reviewed the AI-generated code I used … |