Ashley Gold / Axios: Sources: a draft White House EO would create a “voluntary framework” for AI companies to give government agencies early access to models before public release  —  The White House plans to release its much-discussed executive order on cybersecurity and AI safety as soon as this week …

Lauren Feiner / The Verge: The Take It Down Act, a law requiring social networks to remove nonconsensual intimate images within 48 hours of reporting or face fines, took effect on May 19  —  The Take It Down Act is in full force, but it could be a gift to government censors — not victims of image-based sexual abuse.

Simon Willison / Simon Willison's Weblog: Gemini 3.5 Flash costs $1.50 per 1M input tokens and $9 per 1M output tokens, 3x the price of Gemini 3 Flash Preview and 6x the price of Gemini 3.1 Flash-Lite  —  Today at Google I/O, Google released Gemini 3.5 Flash.  This one skipped the -preview modifier and went straight to general availability …

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Natalie Breymeyer / Axios: Boston-based CircuitHub, which manufactures circuit boards based on customers' requirements, raised a $28M Series A led by Plural  —  CircuitHub, an electronics manufacturer, raised a $28 million Series A, CEO Andrew Seddon tells Axios Pro exclusively.

Google CEO Sundar Pichai talks onstage on Tuesday at the company's I/O conference in Silicon Valley. Alistair Barr/Business Insider Google delayed its Gemini 3.5 Pro AI model, disappointing some developers. The smaller Gemini 3.5 Flash model now powers Google's Antigravity AI coding service. Feedback from 3.5 Flash will likely be used to enhance Gemini 3.5 Pro, via reinforcement learning. Google usually saves its biggest product launches for its I/O conference every year. This time, CEO Sundar Pichai held back, and it says a lot about where the company stands in the AI coding race. During the keynote address, Pichai told the crowd that Google's new flagship Gemini 3.5 Pro AI model wasn't ready yet, drawing audible groans. I was there, and I've spent the rest of the event coming up with a theory for the apparent delay: Google is holding this new model back for a while to get it even better at AI coding tasks. Anthropic's Claude Code took the world by storm last year, and OpenAI's Codex has gotten much better recently. These frontier labs are scooping up developer mindshare and generating big revenue by enabling coders to use AI tools with agents to automate and speed up coding tasks. It's a revolution that's upending Silicon Valley, and Google was probably a bit behind. But not for long. Instead of releasing 3.5 Pro, Pichai spoke at length and with passion about another new model, the Gemini 3.5 Flash. This is a smaller model that's faster and a lot cheaper, while being only slightly less powerful than the world's current top models. Google has already made 3.5 Flash the main model powering its Antigravity AI coding service. Starting today, software developers will use this tool to churn out code. This will generate a mountain of anonymous and highly valuable data. For instance, if an engineer starts a new coding project in Antigravity and suddenly halts the task, it suggests that something in the output from Flash 3.5 wasn't right. Google can use this feedback data to improve the larger 3.5 Pro model, likely through reinforcement learning—a technique in which a new AI model is refined by rewarding good outputs and punishing bad outcomes. Signals from running Antigravity on the smaller 3.5 Flash model will likely help with this process in important ways. That's because coding is particularly good at generating clear signals for AI model development. If the code is good, it likely works. If it's bad, it often breaks stuff. This should give the larger 3.5 Pro model strong clues about which coding outputs worked and which didn't. "I know you can't wait to get your hands on it," Pichai said onstage. "Give us until next month to get it to you." So, when this big new model finally lands, I expect it to be a lot better at coding — the hottest application of generative AI right now. Sign up for BI's Tech Memo newsletter here. Reach out to me via email at abarr@businessinsider.com. Read the original article on Business Insider

How Ramp engineers use Codex with GPT-5.5 to review code and ship improvements, allowing them to get substantive feedback in minutes instead of hours.

An OpenAI model solved the 80-year-old unit distance problem, disproving a major conjecture in discrete geometry and marking a milestone in AI-driven mathematics.

OpenAI advances Education for Countries, expanding AI adoption in schools with new partnerships, teacher training, and tools to improve global learning outcomes.

Ben Schoon / 9to5Google: Google unveils Continue On, a new feature in Android 17 that will let users move tasks between Android devices, similar to Apple's Handoff feature  —  Google is setting the stage for Android's version of Apple Handoff, with the new “Continue On” feature in Android 17 set to let you move tasks seamlessly between Android devices.

<p><strong>Release:</strong> <a href="https://github.com/simonw/llm-gemini/releases/tag/0.32">llm-gemini 0.32</a></p> <blockquote> <ul> <li>New model <code>gemini-3.5-flash</code> for <a href="https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5/">Gemini 3.5 Flash</a>.</li> </ul> </blockquote> <p>See also my <a href="https://simonwillison.net/2026/May/19/gemini-35-flash/">notes on Gemini 3.5 Flash</a>, and <a href="https://simonwillison.net/2026/May/19/gemini-35-flash/#a-pelican-on-a-bicycle">the pelican</a> I drew using this upgrade to the plugin.</p> <p>Tags: <a href="https://simonwillison.net/tags/llm">llm</a>, <a href="https://simonwillison.net/tags/gemini">gemini</a></p>

The new model allows enterprises to spend less on tokens than they would previously, while one of the newly released agents competes against OpenClaw.

Autonomous AI agents are becoming more capable. Open models, Model Context Protocol (MCP)-connected tools, and portable skills are also making agents easier to... Autonomous AI agents are becoming more capable. Open models, Model Context Protocol (MCP)-connected tools, and portable skills are also making agents easier to extend. But scaling agent use with structural transparency and operational integrity requires more than runtime guardrails. Organizations and teams need to understand and trust the skills, or instructions, an agent is using. Source

Jessica Conditt / Engadget: Google updates Project Genie, its interactive world builder, with Street View integration, and expands access to the tool to AI Ultra subscribers globally  —  Ground your snow-globe worlds in real-world locations from Google Maps.  —  Project Genie is rolling out today …

Ensuring data resilience in the event of a disaster has always been a priority for storage providers. But as the number and intensity of cybersecurity attacks has increased thanks to […] The post Everpure Ramps Up Security Focus as AI Threat Grows appeared first on BigDATAwire.

Three of five regional winners of the prestigious Commonwealth Short Story Prize are suspected of relying on chatbots. They’re certainly not alone.

<p>Today at Google I/O, Google <a href="https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5/">released Gemini 3.5 Flash</a>. This one skipped the <code>-preview</code> modifier and went straight to general availability, and Google appear to be using it for a whole lot of their key products:</p> <blockquote> <p>3.5 Flash is available today to billions of people globally:</p> <ul> <li>For everyone via the Gemini app and AI Mode in <a href="https://blog.google/products-and-platforms/products/search/search-io-2026">Google Search</a> </li> <li>For developers in our agent-first development platform Google Antigravity and Gemini API in Google AI Studio and Android Studio</li> <li>For enterprises in Gemini Enterprise Agent Platform and Gemini Enterprise.</li> </ul> </blockquote> <p>As usual with Gemini, the most interesting details are tucked away in the <a href="https://ai.google.dev/gemini-api/docs/whats-new-gemini-3.5">What's new in Gemini 3.5 Flash</a> developer documentation. It mostly has the same set of platform features as the previous Gemini 3.x series, albeit with no <a href="https://ai.google.dev/gemini-api/docs/computer-use">computer use</a>. The model ID is <code>gemini-3.5-flash</code>. The knowledge cut-off is January 2025, and it supports 1,048,576 input tokens and 65,536 maximum output tokens.</p> <p>Google are also pushing a new <a href="https://ai.google.dev/gemini-api/docs/interactions">Interactions API</a>, currently in beta, which looks to me like their version of the patterns introduced by <a href="https://developers.openai.com/api/reference/responses/overview">OpenAI Responses</a> - in particular server-side history management.</p> <h4 id="the-price-has-gone-up">The price has gone up</h4> <p>Gemini 3.5 Flash is accompanied by a notable price bump. The previous models in the "Flash" family were <a href="https://ai.google.dev/gemini-api/docs/models/gemini-3-flash-preview">Gemini 3 Flash Preview</a> and <a href="https://ai.google.dev/gemini-api/docs/models/gemini-3.1-flash-lite">Gemini 3.1 Flash-Lite</a>. The new 3.5 Flash is 3x the price of 3 Flash Preview and 6x the price of 3.1 Flash-Lite (see <a href="https://www.llm-prices.com/#sel=gemini-3-flash-preview%2Cgemini-3.5-flash%2Cgemini-3.1-flash-lite-preview">price comparison here</a>).</p> <p>At $1.50/million input and $9/million output it's getting close in price to Google's Gemini 3.1 Pro, which is $2 and $12.</p> <p>The Gemini team promise that 3.5 Pro will roll out "next month" - presumably at an even higher price.</p> <p>This fits a trend: OpenAI's GPT-5.5 was 2x the price of GPT-5.4, and Claude Opus 4.7 is around 1.46x the price of 4.6 when you take the <a href="https://simonwillison.net/2026/Apr/20/claude-token-counts/">new tokenizer into account</a>.</p> <p>Given the price increase it's interesting to see Google roll it out for so many of their own free-to-consumer products. It feels like all three of the major AI labs are starting to probe the price tolerance of their API customers.</p> <p>Artificial Analysis publish the cost to run their proprietary benchmark against models, which is a useful way to take things like tokenization and increased volume of reasoning tokens into account. Some numbers worth comparing:</p> <ul> <li> <a href="https://artificialanalysis.ai/models/gemini-3-5-flash">Gemini 3.5 Flash (high)</a>: $1,551.60</li> <li> <a href="https://artificialanalysis.ai/models/gemini-3-1-pro-preview">Gemini 3.1 Pro Preview</a>: $892.28</li> <li> <a href="https://artificialanalysis.ai/models/gemini-3-flash-reasoning">Gemini 3 Flash Preview (Reasoning)</a>: $278.26</li> <li> <a href="https://artificialanalysis.ai/models/gemini-3-1-flash-lite-preview">Gemini 3.1 Flash-Lite Preview</a>: $93.60</li> </ul> <p>Running the benchmark for 3.5 Flash (high) cost significantly more than 3.1 Pro Preview!</p> <p>Here are some numbers from other vendors:</p> <ul> <li> <a href="https://artificialanalysis.ai/models/claude-opus-4-7">Claude Opus 4.7 (Adaptive Reasoning, Max Effort)</a>: $5,117.14</li> <li> <a href="https://artificialanalysis.ai/models/claude-opus-4-7-non-reasoning">Claude Opus 4.7 (Non-reasoning, High Effort)</a>: $1,217.23</li> <li> <a href="https://artificialanalysis.ai/models/gpt-5-5">GPT-5.5 (xhigh)</a>: $3,357.00</li> <li> <a href="https://artificialanalysis.ai/models/gpt-5-5-medium">GPT-5.5 (medium)</a>: $1,199.14</li> </ul> <h4 id="a-pelican-on-a-bicycle">A pelican on a bicycle</h4> <p>I ran "Generate an SVG of a pelican riding a bicycle" <a href="https://gist.github.com/simonw/09cc5a5545d7e75b33b75ffa92a34601">against the Gemini API</a> and got back this pelican, which is a <em>lot</em>:</p> <p><img src="https://static.simonwillison.net/static/2026/gemini-3.5-flash.png" alt="Black background, bats in the sky against a stylized moon. Pelican is funky looking. Very good beak. Bicycle frame is a bit twisted, and the bar from pedals to back wheel is missing. Bike lamp illuminates the road in front. Quite stylish." style="max-width: 100%;" /></p> <p>From the code comments: <code>&lt;!-- Pelican Eye / Sunglasses (Cool Retro Aviators) --&gt;</code></p> <p><a href="https://news.ycombinator.com/item?id=48196570#48198275">hedgehog on Hacker News</a>:</p> <blockquote> <p>That pelican looks like it's in Miami for a crypto conference.</p> </blockquote> <p>That one cost me 11 input tokens and 14,403 output tokens, for a total cost of <a href="https://www.llm-prices.com/#it=11&amp;ot=14403&amp;sel=gemini-3.5-flash">just under 13 cents</a>.</p> <p>Tags: <a href="https://simonwillison.net/tags/google">google</a>, <a href="https://simonwillison.net/tags/ai">ai</a>, <a href="https://simonwillison.net/tags/generative-ai">generative-ai</a>, <a href="https://simonwillison.net/tags/llms">llms</a>, <a href="https://simonwillison.net/tags/gemini">gemini</a>, <a href="https://simonwillison.net/tags/llm-pricing">llm-pricing</a>, <a href="https://simonwillison.net/tags/pelican-riding-a-bicycle">pelican-riding-a-bicycle</a>, <a href="https://simonwillison.net/tags/llm-release">llm-release</a></p>

Cybertruck in Grapevine Lake Grapevine Police Department A man in Texas was arrested after police said he drove his Cybertruck into a lake. Police said the man told them he did it to test out the Cybertruck's "Wade Mode" feature. Tesla says the driving mode works for water up to 32 inches deep; the lake's maximum depth is around 65 feet. It's important to read the instructions. On Monday, police arrested a man who they said drove a Tesla Cybertruck into Grapevine Lake in North Texas. Per the Grapevine Police Department, the man said he was trying to test the Cybertruck's Wade Mode. The only problem? Wade Mode, according to the Cybertruck owner's manual, is designed for shallow creeks or rivers that have a maximum depth of 32 inches. Grapevine Lake, on the other hand, is 65 feet deep at points. According to a nautical map of the area where the incident happened (Katie's Woods Park Boat Ramp, for curious locals), the water near the shore is around one foot deep but quickly deepens. As you might expect, the truck flooded and stopped working. The driver and the passengers all escaped safely, and the Cybertruck was later removed from the lake with the help of the local fire department. The driver, who police identified as Jimmy McDaniel, 70, was arrested on misdemeanor charges of operation of a vehicle in a closed section of a park/lake and multiple water safety equipment violations. He spent the night in jail and was released early Tuesday afternoon, according to a Grapevine police spokesperson. McDaniel could not be reached for comment. It's worth noting that this isn't the first time there have been reports of a Cybertruck being driven into Grapevine Lake. In 2025, a video of someone driving the SUV into a lake made its way to X, where Tesla CEO Elon Musk responded, "With a little work, it should be able to cross some open water." And in 2022, before the vehicle's release, Musk said the Cybertruck "will be waterproof enough to serve briefly as a boat, so it can cross rivers, lakes & even seas that aren't too choppy." But as Tesla made clear when the Cybertruck launched with Wade Mode, those plans were apparently never shored up. Read the original article on Business Insider

A brief overview of the forces at play that will get more organizations on board with creating and consuming AI bill of materials (BOMs).

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