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Proofpoint introduced a SOC Analyst Agent powered by OpenAI's Daybreak models that turns natural-language security questions into structured investigations and recommended next steps. The product is currently in private preview.
Databricks now offers built-in SQL IP functions in Public Preview for IPv4 and IPv6 subnet checks, CIDR arithmetic, parsing, and canonicalization. They simplify threat-hunting workflows like separating internal and external traffic and matching telemetry against threat-intel blocklists. Tests on a live Lakewatch workspace found they handle tricky IPv6 formats more reliably than regex or integer-based methods and outperform UDFs with Photon join optimizations.
Equinix is positioning networking as a core layer for distributed enterprise AI inference, connecting models, compute, data, and clouds. Its new infrastructure aims to make deploying inference across providers easier to manage.
Tencent has launched an open platform for its workplace AI assistant WorkBuddy that makes its AI-agent capabilities available to third-party developers, hardware makers, and industry applications.
Perplexity's new hybrid mode splits agent workloads between cloud models and local Mac models, keeping sensitive information on-device while using frontier models for heavier reasoning.
Content was never the real value of SEO agencies. Growth was. Agencies made content the deliverable because it was easy to scope, and rankings made progress easy to measure. AI is now exposing the weakness of that model by making content cheap and easy to produce. Agencies need to shift from content production to strategic work that drives growth, rather than simply rebranding old SEO services as AEO.
64% of Gen Z say they stick with brands they like most or all of the time, but only 11% feel brands understand them really well. Feeling understood is strongly linked to loyalty, with 45% of those who feel truly understood saying they are always loyal. Price and value (82%) and product quality (80%) matter most, while influencer recommendations rank last at 9%. Relevance starts with understanding customers, but loyalty still depends on delivering a product worth coming back to.
Treat negative Reddit posts as a community management issue, since high-ranking criticism can shape search results and AI answers. Respond selectively as a named, disclosed person by correcting misinformation or adding useful product context. Positive and negative threads receive similar upvote weight, so helpful brand contributions can reach audiences at a similar scale. Build credibility early by listening and using REACT to decide when to engage or step back.
Public forms can attract spam bots as soon as a product launches, especially without login requirements. The author recommends a two-layer system. Use Cloudflare Turnstile on every public form and verify its token server-side before storing submissions. A database trigger adds another safeguard by rejecting invalid submissions that bypass the application. Turnstile is free for up to 1M monthly requests, making it a low-cost way to protect public forms from spam.
Tim Keen will walk through when and how to use GitHub and Terminal, the new surfaces that marketers live in. Learn how to build a machine that builds marketing assets for you and manage Meta, Google, and LinkedIn ads from the terminal. This will take place on September 10 at 12 PM ET.
TikTok's new agentic AI tools can automate paid social execution, but the bigger shift is teaching AI how your team works. TikTok Ads MCP connects AI to campaign data and workflows, while Agentic Hub and Skills can package processes like creative fatigue analysis, budget optimization, reporting, and QA. Automate repeatable work, but keep humans involved in strategic decisions.
Reddit is making Max campaigns available to all advertisers, alongside 3 updates designed to expand their value. Max campaigns automate targeting, creative selection, placements, and budget allocation, with early tests showing 17% lower CPA and 27% more conversions. New asset groups let advertisers organize and measure different products or use cases within one campaign, while API and Smartly support make campaigns easier to manage at scale.
Glossier used direct customer feedback to shape products, then expanded that customer-first approach into its brand positioning. Dishoom takes a similar approach to scaling, focusing on preserving the core experience rather than optimizing for growth alone. For new brand ideas, Roya recommends testing scrappy versions instead of waiting for a perfect strategy. She also uses data to pitch new ideas, pairing consumer insights with a clear business case.
Getting recalled correctly by AI models does not require more content - it requires making existing content easier to retrieve. Advanced models store 95% to 98% of the facts they are trained on but reliably recall only 26% to 34% of them. Recall breaks down most on facts asked backward from how they were learned, or on facts that are simply rare. Auditing where AI tools already mention or skip a brand's key facts shows exactly which messages need restating in both directions.
Brands can face penalties for undisclosed paid partnerships or free products.
A guide to the many hats product marketers wear.
OpenAI claims its newly released frontier model, GPT-6 Astra, likely marks the onset of artificial general intelligence. The promotional video OpenAI released for the model shows various OpenAI employees interacting with computer interfaces using Astra through voice. Astra is now rolling out to enterprise customers through OpenAI's gated access program, Daybreak. It will become available over the coming days to ChatGPT Plus, Pro, Business and Enterprise customers, as well as through the OpenAI API and cloud platforms, including AWS Bedrock and Microsoft Azure.
OpenAI has started offering rides in its Cybercab robotaxis. The two-seat vehicle has no steering wheel and is designed to transport passengers with no direct human intervention. Tesla is authorized to operate 314 vehicles in Texas to provide paid rides without a driver. Most of the vehicles are Model Y sport utility vehicles, but the fleet includes 45 Cybercabs.
Tim Andrews' kidneys were destroyed from diabetes and high blood pressure two years ago. At 66, he had no energy or appetite and was too weak to walk. Andrews received a genetically modified pig kidney in January last year, and then lived with it for nine months. He then received a human donor kidney, providing early proof that pig kidneys, while not yet a permanent solution, offer a bridge to transplants with human organs.
Researchers led by Howard Hughes Medical Institute Janelia Research Campus have released a complete wiring diagram of the male fruit fly's brain and central nervous system. The map is the result of a decade-long partnership that advances the field of connectomics using computing and AI to build cellular-scale maps of entire brains. It is the largest brain map by number of neurons to date. The map is a fundamental resource for scientists who use fruit flies as a model organism for studying how the brain works.
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Two months ago, Meta laid off 10% of its staff and moved 20% to 30% of its engineers into AI training. This resulted in low morale and a string of embarrassing outages. The company had planned even larger layoffs, but those plans did not eventuate. This post looks at what the planned AI job cuts reveal about Meta, what CEO Mark Zuckerberg might have been thinking, and what the layoffs could mean for other tech companies.
Three-LLM runs GPT-2, SmolLM2, Qwen, and Phi models locally in the browser by turning their inference graphs into Three.js TSL compute shaders on WebGPU. The project was created to see how far the general computer capabilities of Three.js and WebGPU can be pushed, and to see what today's small language models can do when they run in a browser. Three.js is known as a rendering library, but its WebGPU renderer also exposes storage buffers, compute dispatches, workgroup memory, atomics, and GPU readback. Large language models put all of those capabilities to work as they need hundreds of ordered compute dispatches, large matrix-vector products, reductions, persistent attention or recurrent state, and a tight loop between the GPU and JavaScript as each new token appears.
It's tempting to believe that AI can turn everyone into a tool-builder. However, that line of thought misunderstands how most people think and where software comes from. Turning everyone into a builder isn't how companies should work. The hard part is knowing that you need a tool for a specific task in the first place, and then knowing what that tool should do.
Model quality is no longer a clear differentiator. It's only a matter of time before open source catches up to the current state-of-the-art. Model providers must look elsewhere for differentiation. For many, this will mean finding a niche and moving away from the defaults.
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Email is just structured text wrapped up as a human-readable letter, complete with data to identify senders and recipients.
A look at how X.ai designed Grok Bot for agents that persist beyond a single session.
Recent studies have suggested that GLP-1 drugs can reduce the occurrence or severity of certain infections, particularly among more vulnerable groups like people with type 2 diabetes.
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Zoom uses macOS Control Center logs and Windows microphone privacy records to detect when other applications use the microphone.
Meta's Muse Spark propels open source models from the US to the frontier, and its pricing system resets the industry's economics.
PostgreSQL's usual September/October cadence means that general availability should land within the next few weeks.
OpenAI GPT-6 Astra is the company's most capable broadly deployed model and the first to reach the Critical cybersecurity level under its Preparedness Framework. The system card said Astra is more robust to jailbreaks and prompt injections than GPT-5.6 Sol, but noted it is also better at controlling its own chain of thought and could evade monitors under adversarial conditions.
Grok Bot is now available for enterprises. Grok and Cursor Enterprise customers have free usage for the next two weeks. Users can invite their whole organization, including people without an existing seat. Each user's work in Grok Bot runs in its own secure and isolated environment, separate from every other user. A Bot has no access by default and reaches only the accounts you sign it into.
Nvidia confirmed it has acquired Hugging Face, which hosts three million models and serves over 18 million developers, for $12.93 billion. Jensen Huang said the platform will stay open and Nvidia compute will not be required to build or deploy on it.
Microsoft released MAI-Transcribe-2, a speech recognition model with diarization, configurable transcription styles, and word-level timestamps that it says beats Gemini 3.5 Transcribe, GPT-Transcribe, and Whisper V3-Large.
A MATS researcher found that a synthetic transcript generation prompt could be turned into a universal jailbreak template that hit 84-100% attack success on the nine most vulnerable of 23 models tested, with only recent Anthropic models and Meta Muse Spark 1.1 never fully broken.
GPT-6 Astra scored 62.7% on ARC-AGI-3 Semi-Private with the standard harness and 99.9% with a provider adapter harness, using fewer actions than the median human on 96% of levels. It turned unfamiliar environments into compact symbolic world models, representing game mechanics as logical rules and inventing its own shorthand to track state and plan.
AI presents the potential to automate countless tasks within companies, offering software that's dynamic and generative with minimal coding required. Despite this, organizational change remains challenging, as identifying tasks suitable for automation is not always obvious, and widespread adoption takes time and effort. Additionally, while AI will expand existing and new vertical applications, the integration and impact vary depending on how companies choose to adapt to this transformative technology.
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AI adoption is nearly universal, but development bottlenecks like planning, review, and testing remain. In an Atlassian survey [12], 74% of engineering leaders say AI accelerates code generation, but 78% still review AI-generated code through traditional peer review. To tackle these bottlenecks, 88% of leaders know they need a governed engineering system of record. Only 19% say they've built one. Here's
Runway's GWM Worlds 2 is a world model that generates interactive environments in real time at 720p, 24 fps, with 48 kHz audio. Users steer the world with text actions and camera motion, and sessions continue from each input with no preset length.
MAI-Transcribe-2 is a speech-recognition model that Microsoft says is faster, more accurate, and cheaper than anything its competitors currently sell. It is priced at 10 cents per hour of audio. The model transcribes audio in 60 languages. Microsoft's strategy seems to be to build its own frontier-class models one modality at a time, then steadily swap them into products that once ran on OpenAI's technology.
funes introduces a durable memory layer for coding agents that allows them to retain and recall session histories across different machines and agents like Claude Code, Codex, pi, and Hermes. It enables contextual memory storage and retrieval without external dependencies, using local indexing and embedding.
AI's ability to rapidly produce code and governance structures like in Steve Yegge's Wheelhouse leads to over-engineering, making creations easy but maintaining them costly. The agents in Wheelhouse have outpaced their intended productive goals, leading to inefficiencies as more complexity is layered on their work. AI's removal of traditional economic pressures encourages continuous creation, often without adding meaningful value, as evidenced by the imbalance between production and valuable outcomes.
Incumbent systems of record gain value as agents act through their data and workflows, but vertical AI can still win by owning the broader job. Durable advantage comes from cross-system context, expert feedback, evals, and learning loops.
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