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Most brands treat Reddit as a risk to manage. Rachel Duffy, Head of Community at The Times and The Sunday Times, built a different playbook: earning moderator trust, learning subreddit culture, and knowing when to speak up. Join her and Standing on Giants on September 22. SAVE YOUR SPOT →
Agency leaders will discuss some of the newest ways that YouTube can make a brand and their agency successful on YouTube. They'll cover new ad formats and strategies, measurement tactics, and ways to tie advertising campaigns into other YouTube efforts from the brand, including organic and creator initiatives. The free webinar takes place today at 10 AM PT.
Meta's new subscription service prices creator and business tools from $2.99 a month for basic app access up to $499 for its top professional tier, with the $49.99 Advanced plan unlocking year-ahead scheduling, bulk uploads, and shared account access without password sharing. Paid tiers also boost visibility directly, through higher search placement and more prominent follow buttons, not just productivity tools. The core apps and Meta AI stay free, and none of the tiers remove ads.
Americans are increasingly hearing that AI data centers are draining the country's water supply, but the national scale of the problem is far smaller than viral claims suggest. US data centers consumed about 228 billion gallons of water in 2023, yet that amounted to only 0.015% to 0.2% of total US water withdrawals, compared with 43% for agriculture. A viral claim that every ChatGPT question consumes a bottle of water also misrepresented research that estimated 500 milliliters could be consumed across roughly 10 to 50 GPT -3 responses. Water use can still create serious local concerns, but misinformation and misleading comparisons are turning a site-specific resource issue into a broader narrative about AI infrastructure threatening the US water supply.
Job title confusion runs in both directions. Companies without a creative background borrow a senior-sounding title off a template instead of defining the actual work, while designers themselves inflate titles because freelance clients rarely check credentials. Underneath the confusion, the jobs barely move: a designer executes one piece of visual communication, an art director keeps a whole project's output feeling like one brand, and a creative director sets the point of view behind it. Only company size decides how many people that work gets split across.
Creator-economy sentiment toward AI has shifted in about a year from dread to a hunt for leverage, with most creators now treating AI output as a rough starting draft rather than a finished product. That shift is showing up in contracts: some brands now ask for access to creators' AI prompts, while creators are starting to write their own AI-use clauses back to protect their voice. Adoption itself splits by gender, since women are 22% less likely than men to be regular AI users at work and more likely to worry it looks like cutting corners. The recurring conclusion is that audiences still connect to the person behind the work, not the tool that helped make it.
Rather than talking up the brand, creators would review original builds made in Perplexity's own tools, instead of promoting them.
A guide to how much B2B freelancers are charging in the UK.
Equity and debt issuance are surging, market value is concentrated in a few major tech stocks, and earnings expectations look increasingly unstable.
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Every Dreamforce presentation glosses over one question: where does your agent get its data? If it has to wait for your reps to update a legacy CRM, your future isn't actually agentic. Lightfield [5] is the CRM that updates itself from every email, call, and meeting. It uses hard evidence [6] to answer your questions, like: → "WHAT OBJECTIONS KEEP COMING UP ACROSS MY CALLS?" or → "SHOW ME EVERY DEAL WHERE THE CHAMPION HAS GONE QUIET AND DRAFT A
OpenAI has held early discussions with investors about a financing round that would precede the company's highly anticipated initial public offering expected next year. The new funding round, which could value the company at more than $1.2 trillion, has been delayed due to concerns about AI safety. OpenAI has reached more than one billion active users, with more than 200 million businesses using its models.
SpaceX plans to launch its 14th Starship mission as early as September 22. It will be the first time SpaceX attempts to launch the experimental vehicle into orbit. The super heavy lift rocket will be carrying 26 of the larger V3 Starlink satellites into orbit 275 kilometers above Earth. The upper stage will seek to complete six orbits around Earth before completing its mission after about 10 hours. SpaceX will not attempt a return of the upper stage to the launch site in Texas on this mission, as it plans to gather more data about heat shield performance.
Researchers at the Janelia Research Campus at the Howard Hughes Medical Institute in Virginia, in partnership with Google, recently published a new map of the adult male fruit fly's brain. The effort, which involved hundreds of scholars, resulted in a complete map of the fly's 166,000 neurons that can be trained to complete tasks like solving a Rubik's Cube or playing poker. Internet engineers and artists have made the model complete many seemingly impossible tasks for a fruit fly, like parallel parking a car, playing Doom, and trading cryptocurrencies.
Agility Robotics has debuted a humanoid robot engineered to work safely near humans without risking harm to their co-workers. The robot autonomously takes precautions when it detects a person at a distance, such as moving to avoid the person or standing still so the person can pass without getting closer. It can even choose to squat and assume a seated position if a person is getting too close. The robot will be available in early access within the first half of 2027 and become generally available by the end of the year.
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AI disruption typically follows 3 archetypes. In this on-demand webinar [12], Gartner breaks them down and lays out a plan to turn the AI threat to your advantage. Get practical steps to rebuild your moat and explore the AI hub for 4,000 case studies and use cases. Visit the
Google has released two new speech-to-speech models similar to OpenAI's GPT-Live family. Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking are advanced live dialogue models with major upgrades in intelligence and parallel reasoning. They are more intuitive to collaborate with than previous models and can be used to execute complex tasks using voice prompts. Users can select a model and voice preset, enter an optional system prompt, and then start a voice conversation through their browser. The models can be interrupted while talking.
Until Fable-tier intelligence gets cheap, everyone building orchestrators is just dabbling. They aren't getting anywhere useful yet. The pace of model development will likely continue. However, resource limitations like compute and RAM have started to flatten the curve.
Mark Zuckerberg made a social media post on Tuesday, saying that calls to pause AI development industrywide were the wrong approach. He said that every lab has the responsibility and incentive to move at the pace required to train its models safely. He acknowledged the risks of AI, but said companies were already incentivized to keep users safe and slow progress on their own. Meta has been aiming to catch up in the AI race after falling behind Anthropic and OpenAI last year. It plans to release a new model, internally called Watermelon, in the coming weeks.
The US Senate has voted to block consideration of the Clarity Act, a piece of legislation that would create business-friendly rules for cryptocurrencies. The vote makes it unlikely the legislation will pass anytime soon, if ever. Many Republicans embraced the bill, but Democrats largely opposed it. The Democrats wanted stronger language to prevent public officials from using crypto to make money. President Trump generated $1.4 billion from a network of crypto businesses last year.
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Picking an ERP? Don't guess. Get the free Software Advice guide comparing NetSuite, Fishbowl, and Global Shop Solutions on pricing, features, and verified user reviews — so you choose with confidence.
Tailcat is like netcat, but over Tailscale's data plane and without Tailscale's control plane.
Some decisions, where creativity adds almost no value, don't need to be reinterpreted on every generation.
The last time OpenRouter users spent more on OpenAI than on Anthropic models was more than two and a half years ago.
No company owns what comes next, and more people should be able to advance the edge of what we know.
TypeSafe AI's Jev model, available now in early access, is part of a new class of frontier models called System One Models built to make fast, structured decisions that software can use directly.
Cloudflare's new Disallow AI Training setting lets users easily stay indexed for search while refusing to let crawlers train on their content.
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Current solutions are complex, but they can't see API calls outside of proxy, subprocesses, or config rewrites made by agents. That's unsustainable in the agentic era. Ory Agent Security [5] works at the harness layer to give you the ability to govern execution _before_ a gateway call. What's more: * Setup in seconds with auto-install * Config your agent security by toggling preferences * Get instant visibility into permissions and make changes with a few clicks in the permissions modeler Ory Agent Security [6] is vendor-agnostic and works with 11 major AI coding agent harnesses.
Periodic Neon outperforms GPT-6 Astra and Claude Fable 5.1 at lower cost on a highly challenging evaluation for scientific analysis. Neon is now deployed in labs to analyze experiments for better superconductors and magnets. The model establishes a Pareto-optimal cost-performance frontier through midtraining and reinforcement learning on lab data. Periodic Neon surpasses frontier models on FrontierXRD at a lower cost per analysis.
Jev is a System One Model that achieves similar levels of intelligence on System One tasks compared to existing large language models while being two orders of magnitude faster and more efficient. System One Models are a new class of frontier models built to make fast, structured decisions that software can use directly. Jev is optimized for structured outputs and can not hallucinate. It is now available in early access.
Google released Gemini 3.8 Live and Gemini 3.5 Transcribe for developing real-time voice applications. These tools offer enhanced features for voice recognition, transcription, and live interaction capabilities. They aim to improve accuracy and user experiences in voice-driven applications.
Standard RL results in disproportionately poor performance on the hardest problems. Simple scalar values may not be sufficient for accurate evaluations of large language models. This paper proposes a solution that reduces the compute spent on easy problems, which reallocates it towards harder problems. The solution appears to show substantial improvements on difficult tasks.
This developer has been testing an approach to charging AI agents for using their content. Their page sets a price through the x402 protocol before an agent reads it. If the agent wants access, it pays. While the developer has yet to receive any real payments, testing shows the system works, so it's worth looking into if you own content and aren't big enough to negotiate fair licensing deals.
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Note-takers transcribe calls and send you a bloated summary. Granola is an AI notepad [14]: you jot down what matters, Granola enriches (no bots). When the meeting's over, your notes come to life: chat, generate emails, prep for the next meeting, or pull takeaways. Use
Progress in recursive self-improvement hinges on effective exploration. Accumulated discovery history can serve as a replay simulator over a realized search space. Dream-RSI closes a self-improvement loop at the exploration layer. It continuously collects discovery histories through online exploration, constructs replay simulators from them to refine meta-exploration strategies via dreaming, and redeploys the upgraded policy online. Dream-RSI improves both discovery effectiveness and efficiency in several settings.
Odyssey-3 is a foundation world model with an autoregressive diffusion transformer trained to simulate highly diverse scenarios. The model is capable of controlling robots, powering humanoids, driving vehicles, piloting drones, training AIs, and playing video games. It has a learned understanding of physics, dynamics, cause-and-effect, human behaviors, and other concepts that make up reality. The model will enable physical agents that can interface natively with physical and virtual systems.
Recursive scientific AI can build executable worlds, populate them with agent swarms, and compress thousands of simulated trajectories into human-usable principles. In metamaterials, this revealed how architecture can program failure pathways, improving resilience through load redistribution and controlled collapse.
Provides an open-source humanoid arm for teleoperation, imitation learning, and physical AI research.
The Artificial Intelligence Underwriting Company (AIUC) hopes to bring AI safety to enterprises and companies building AI models and agents. It has built a third-party audit and certification layer for AI agents designed to give enterprises an independent assessment of how safe their AI agents are. Its tests show where companies can trust their agents and where there are concerns, allowing them to be more informed before making decisions. AIUC uses AI agents to run the tests and AI to analyze the data, but humans verify the final audit.
Meta One is a subscription service that offers enhanced AI and self-expression features across Instagram, Facebook, and WhatsApp. It includes single product plans as well as bundled offerings that combine features for individuals, creators, and businesses, starting at $2.99/month.
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Specialized knowledge search. Parallel thinking. Multiple LLMs. See how Databricks improved Genie's accuracy from 32% to over 90% on an internal benchmark of real-world data analysis tasks. See how Genie
OpenAI's clear priority is recursive self-improvement, and AI could surpass even Brown's own research intuition within one or two model releases from now.
ALTK-Evolve introduces Consistency Guidelines to address the inconsistency gap, where a model's task success rate drops significantly across repeated runs.
Relay, an AI workflow tool, shut down due to competition from larger companies integrating similar features.
G5 Labs, an MIT CSAIL spinout, raised $14 million to develop a platform where natural language, structured as intent graphs, serves as the source code.