In the past two years, businesses have been trying to fit large language models (LLMs) into support, analytics, development, and internal automation like never before. Along with the increasing adoption of AI technology, another trend is gaining momentum — cybercriminals are taking advantage of the disconnect between assumptions about LLMs and their actual characteristics. In 2025 and 2026, several independent sources have highlighted the same trend: Prompt injection remains one of the most impactful and widely demonstrated attack vectors against LLM systems. The OWASP LLM Top 10 (2025) lists prompt injection as LLM01, identifying it as the most critical category of LLM‑specific vulnerabilities, for the second consecutive edition. OWASP's ranking reflects the fact that LLMs still struggle to reliably separate instructions from data, making them susceptible to manipulation through crafted inputs. CrowdStrike's 2026 Global Threat Report — built on frontline intelligence across more than 280 tracked adversaries — documented that threat actors injected malicious prompts into legitimate generative AI tools at more than 90 organizations in 2025. They then used those injections to generate commands that stole credentials and cryptocurrency. The report stated it plainly: "Prompts are the new malware." AI-enabled adversaries increased their overall attack volume by 89% year-over-year, with prompt injection working as both an entry point and a force multiplier. Real‑world incidents illustrate the operational impact. In August 2024, researchers at PromptArmor disclosed a prompt injection vulnerability in Slack AI that allowed an attacker to exfiltrate data from private Slack channels they had no access to — including API keys shared in private developer channels — by placing a malicious instruction in a public channel or embedding it in an uploaded document. In June 2025, resear... Source: https://venturebeat.com/security/prompt-injection-is-exploiting-enterprise-ais-biggest-design-flaws-by-targeting-agents-rag-pipelines-and-model-routers

OpenAI is announcing a limited preview of its newest frontier AI model GPT-5.6 family, which comes in three variants: Sol, Terra, and Luna. Sol is for the hardest problems, such as complex coding and security research; Terra is for high-volume business tasks like customer support, internal tools and document analysis; and Luna is for faster, lower-cost everyday work like summarization, drafting and routine automation. Sol and Terra set new high benchmark scores, while Luna performs near GPT-5.5 levels on several tests despite being positioned as the fastest and lowest-cost model in the GPT-5.6 family. However, the models are being made available initially to a narrow set of approximately 20 total organizations, after OpenAI shared the models and release plans with the U.S. government. A general release is planned for "the coming weeks." The staggered release follows an executive order issued by President Donald J. Trump earlier this month on June 2, 2026, which calls upon various federal agencies to collaborate on a process for benchmarking and assessing capabilities of new AI models to ensure they are safe and appropriate for wide release. While this process remains underway (it was said in the order to take 30 days, so July 2), OpenAI says in its release blog post that it "previewed our plans and the models’ capabilities ahead of today’s launch. At [the U.S. government's] request, we are starting with a limited preview for a small group of trusted partners." OpenAI's limited preview release strategy also follows the drastic step taken by the U.S. government to issue an export control order against Anthropic, OpenAI's top U.S. competitor, over jailbreaks found in its most powerful generally released model, Claude Fable 5, to which Anthropic responded by removing any access to the model and its cybersecurity focused counterpart Claude Mythos 5 by public or private par... Source: https://venturebeat.com/technology/openai-unveils-gpt-5-6-sol-terra-and-luna-models-but-only-accessible-to-limited-preview-partners-for-now-per-us-gov

FIFA says hydration breaks protect players from heat. They also create new annoying commercial breaks—and fans are calling foul. Source: https://www.wired.com/story/world-cup-new-hydration-breaks-are-about-more-than-water/

Flexion Robotics, a startup founded by ex-Nvidia engineers, has a clever way of training robots to do useful work. Source: https://www.wired.com/story/this-robot-is-going-to-replace-your-interns-flexion/

Nine major suspected cargo thefts happened at Tesla’s Nevada battery factory in January alone, according to sheriff’s records obtained by WIRED. Source: https://www.wired.com/story/truckloads-of-tesla-batteries-keep-getting-stolen-before-they-even-leave-the-factory/

The Chinese supercomputer LineShine was ranked as the fastest in the world, despite not using any GPUs. Source: https://www.wired.com/story/china-defies-us-restrictions-and-builds-the-worlds-fastest-supercomputer/

An endpoint agent cannot report its own absence. The 2026 Axonius Actionability Report, conducted with the Ponemon Institute and surveying 662 IT and security professionals, put a number on a gap SOC teams have worked around for years. Across the Axonius customer base, 12.7% of devices in a 298,000-device median inventory are missing their expected security agent. If a device has no agent, no management console shows it. If a CMDB record is stale, no reconciliation flags it. An employee who installed Claude Enterprise outside procurement created a SaaS workspace, identity surface, and API-token footprint that endpoint telemetry alone will not reliably inventory. The coverage percentage on the EDR dashboard is structurally incomplete because the reporting mechanism cannot see what it does not cover. That gap matters more now than it did six months ago. SOC and XDR vendors are pushing more autonomous investigation and remediation into production. Those agents will query the same dashboards, trust the same coverage percentages, and act on the same blind spots human analysts learned to work around. A human analyst second-guesses a 98% coverage number. An autonomous agent treats it as ground truth and moves at machine speed. Three independent signals converged on the same gap Gravitee’s 2026 survey of 900-plus executives found 88% reported confirmed or suspected AI-related incidents, and only 14.4% sent agents live with full security approval. The Axonius/Ponemon report found 52% of respondents would let autonomous agents act on recommendations — while 63% said the underlying data lacks important information. The CSA's Agentic Trust Framework requires verified data governance before agents act on any finding. Mike Riemer, Field CISO at Ivanti, said that known vulnerabilities on Azure’s honeypot networks are now attacked in under 90 seconds. “Traditional security measures c... Source: https://venturebeat.com/security/autonomous-security-agents-need-complete-data-heres-how-to-check-if-yours-is-ready

Anthropic recently told its growth team to hire more product managers, not fewer. The reason, as reported in industry coverage, was that Claude Code had quietly turned its engineering org into a team that ships at roughly three times its actual headcount, and the bottleneck moved from the integrated development environment (IDE) to the people deciding what to build. That detail is easy to miss in the noise of every AI productivity claim. It is also the structural shift the rest of the industry is now living through. The bottleneck in software is no longer typing. It is deciding what to type. And the engineers who treat that as someone else's problem are about to plateau. For most of the last decade, that decision sat with someone else. Software engineering was a craft you absorbed slowly, then practiced in a long, predictable sequence: Dive deep on the technology, write the code, ask Stack Overflow when stuck, escalate to a senior engineer when Stack Overflow failed, ship the ticket. The product manager owned the funnel. The engineer owned the build. Both sides treated this division as physics. Then the funnel collapsed in five steps. A short history of how the engineer's day got compressed The Stack Overflow era (2014 to late 2022): The way engineers thought lived in one place. But new monthly questions on Stack Overflow are now down roughly 77% since November 2022, which was not coincidentally when ChatGPT launched. The drop is not a referendum on the site. It is a referendum on the workflow it represented. The browser-tab era (late 2022 to 2024): The first ChatGPT generation sat outside the IDE. Engineers ran the same loop they had always run, just with a faster oracle: Write a prompt in a browser, paste the answer back into VS Code, repeat. The work was still single-threaded and engineer-driven. The leverage was real but local. The IDE-native era (2024 to 2025): C... Source: https://venturebeat.com/infrastructure/claude-code-turned-every-engineer-into-three-now-companies-need-more-product-thinkers

Long-horizon reasoning exposes a core weakness in AI agents: context windows fill up fast, and retrieval pipelines return noise instead of signal. To solve this, researchers at the National University of Singapore developed MRAgent, a framework that abandons the static "retrieve-then-reason" approach. Instead, it uses a mechanism that allows an agent to dynamically develop its memory based on accumulating evidence. This multi-step memory reconstruction is integrated into the reasoning process of the large language model (LLM). While not the only framework in this space, MRAgent significantly reduces token consumption and runtime costs compared to other agentic memory management approaches. The limits of passive retrieval in long-horizon tasks In classic retrieval pipelines, documents are retrieved through vector search or graph traversal and passed on to an LLM for reasoning. This passive approach fails because it cannot combine reasoning with memory access, creating three major bottlenecks: These systems cannot revise their retrieval strategy mid-reasoning. If an agent fetches a document and discovers a crucial missing cue — a specific date or person — it has no way to issue a new query based on that finding. Fixed similarity scores and predefined graph expansions return surface-level matches that flood the LLM's context window with irrelevant noise, degrading reasoning. Current systems rely heavily on pre-constructed structures such as top-k results and static relevance functions, limiting the flexibility required to scale across unpredictable, long-horizon user interactions. The researchers argue that to overcome these limitations, developers must shift toward an “active and associative reconstruction process,” a concept inspired by cognitive neuroscience. Under this paradigm, memory recall unfolds sequentially rather than operating as a passive read-out of a stati... Source: https://venturebeat.com/orchestration/new-agentic-memory-framework-uses-118k-tokens-per-query-langmem-burns-through-3-26m

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Europe’s extreme heat is shutting down power plants Europe is in the middle of a record-breaking heat wave, and the grid is being pushed to its limits as people turn to… Source: https://www.technologyreview.com/2026/06/25/1139738/the-download-europe-heat-wave-ibm-chip-moores-law/

It’s been hard to look away from headlines about the European heat wave this week. Temperatures are breaking records across the continent, and the weather is threatening lives, shutting down schools, and in one particularly ironic case, forcing the cancellation of a London Climate Action Week event about extreme heat. As the summer ramps up… Source: https://www.technologyreview.com/2026/06/25/1139690/europe-heat-wave-grid/

After weeks of negotiations, the White House permitted Anthropic to grant access to its most advanced AI model to a select group of US companies and government agencies. Source: https://www.wired.com/story/anthropic-restores-access-to-mythos/

The decision by Amazon-owned MGM Studios to drop the OpenAI movie is just part of AI and film industries becoming increasingly intertwined. On Uncanny Valley, we look at where this is all headed. Source: https://www.wired.com/story/uncanny-valley-podcast-amazon-mgm-openai-movie-data-center-workers-fight-back-meta-leaks-employee-data/

Anthropic's critics argue it's rapidly accumulating power. The company says that's what responsible AI development looks like. Source: https://www.wired.com/story/anthropic-thinks-ai-can-only-be-safe-under-its-control/

The White House asked OpenAI to delay the rollout of its GPT-5.6 AI models, two weeks after Anthropic had to take its most advanced AI models offline. Source: https://www.wired.com/story/openai-gpt-56-model-release-trump-admin-approval/

It's a stretch to think that the continent can build a top-tier model, but it has an advantage: Donald Trump. Source: https://www.wired.com/story/europe-is-fed-up-and-wants-its-own-ai/

As Anthropic tightens restrictions on access to Claude in China, users keep finding new workarounds, from proxy services to fake identities sourced on Telegram. Source: https://www.wired.com/story/how-people-in-china-keep-outsmarting-anthropics-geolocation-restrictions/

It’s been hot in London this week. Really hot. A dangerous heat wave has hit Western Europe. Yesterday, the UK recorded its highest ever June temperature at 36.1 °C (about 97 °F). But as the weather app on my phone confirmed, it felt like 39 °C. It’s frightening that we are seeing such temperatures in… Source: https://www.technologyreview.com/2026/06/26/1139760/heat-waves-mess-with-your-brain-scientists-are-trying-to-figure-out-why/

Artificial intelligence is rapidly reshaping retail, but not in the ways consumers might immediately notice. The biggest transformation may not be flashy virtual try-ons or chatbot shopping assistants, but in how decisions are made behind the scenes: how products surface in search results, how inventory moves through supply chains, how engineers ship code faster, and… Source: https://www.technologyreview.com/2026/06/25/1137848/repositioning-retail-for-the-ai-era/

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Heat waves mess with your brain. Scientists are trying to figure out why. —Jessica Hamzelou It’s been hot in London this week. Really hot. A dangerous heat wave has hit Western… Source: https://www.technologyreview.com/2026/06/26/1139780/the-download-heatwaves-brain-health-openai-restrictions/