Rebranded Codex promises independent workflows that can run "for hours if needed."

Hannah Lang / Reuters: Coinbase's chief legal officer, Paul Grewal, is stepping down after six years; VP of legal Molly Abraham moves into his role with the title of general counsel  —  Coinbase (COIN.O)'s Chief Legal Officer Paul Grewal is stepping down after six years at the U.S. crypto giant where he fought off …

Meta reportedly plans to deploy its fourth custom AI chip by September as it looks to cut AI costs and reduce reliance on Nvidia and AMD. The post Meta’s Custom AI Chip Timeline Just Got More Interesting appeared first on TechRepublic.

The feud between NightmareEclipse and Microsoft shows no signs of resolving soon.

Amazon raised $25 billion through a bond sale as AI infrastructure spending accelerates, highlighting the growing cost of competing in the AI race. The post Amazon Raises $25 Billion in Bond Sale as AI Spending Accelerates appeared first on TechRepublic.

Andrew Ackerman / Washington Post: Federal Reserve Chair Kevin Warsh names Marc Andreessen and Xbox CEO Asha Sharma to lead a task force on the economic impact of new technologies, including AI  —  The billionaire investor will help shape how the Federal Reserve assesses a technology his firm has bet heavily on.

Obscurity isn't a defense. If your company has any Internet-facing vulnerability, you're at risk from multiple threats.

Sarah Perez / TechCrunch: Google says it will automatically add a disclosure to ads that are made with its AI advertising tools, expanding the disclosure beyond election ads to all ads  —  Google is rolling out a new feature aimed at helping people understand when an ad they're seeing was made using AI technology.

Broadcom accuses Allstate of dodging VMware audits.

The AI firm Anthropic has developed a technique that has given it the clearest glimpse yet at what’s really going on inside large language models as they answer questions or carry out tasks. What they found ranges from the mundane to the unnerving. Researchers at the company built a tool called the Jacobian lens (or…

The researcher known as "Nightmare-Eclipse" published a proof-of-concept (PoC) exploit for the Windows Defender vulnerability in early June after dropping several other Microsoft zero-days.

China warned organizations to remove certain Claude Code versions over alleged backdoor risks, while Anthropic called the feature anti-abuse protection. The post China Warns of Claude Code ‘Backdoor’ Security Risk appeared first on TechRepublic.

Preclinical trial is testing the feasibility of humanoid robots in surgery.

<p>OpenAI's latest flagship model <a href="https://openai.com/index/gpt-5-6/">hit general availability this morning</a>, and comes in three sizes: Luna, Terra, and Sol (from smallest to largest).</p> <p>The new models are priced per 1M input/output tokens as Luna $1/$6, Terra $2.50/$15, Sol $5/$30. For comparison, the Claude Opus series are $5/$25 and the Claude Fable 5 is $10/$50, but price-per-million tokens doesn't tell us much now that the number of reasoning tokens can differ so much between models for the same task.</p> <p>All three models have a February 16th 2026 knowledge cutoff, a million token context window, and 128,000 maximum output tokens.</p> <p>OpenAI's biggest benchmark claim concerns long-running agentic performance, with one benchmark showing all three models outperforming Claude Fable 5:</p> <blockquote> <p>We trained GPT-5.6 to get more useful work from every token. On <a href="https://agents-last-exam.org/">Agents’ Last Exam</a>, an evaluation of long-running professional workflows across 55 fields, GPT-5.6 Sol sets a new high of 53.6, eclipsing Claude Fable 5 (adaptive reasoning) by 13.1 points. Even at medium reasoning, it beats Fable 5 by 11.4 points at roughly one-quarter the estimated cost. That efficiency extends to smaller models, which are essential to making intelligence more abundant and affordable: GPT-5.6 Terra and GPT-5.6 Luna outperform Fable 5 at around one-sixteenth the cost.</p> </blockquote> <p>Amusingly, one self-reported benchmark that Fable 5 crushed the GPT-5.6 family on was SWE-Bench Pro, where Fable 5 got 80% compared to GPT-5.6 Sol getting 64.6%. This may help explain why OpenAI chose to publish <a href="https://openai.com/index/separating-signal-from-noise-coding-evaluations/">this article yesterday</a> specifically calling out SWE-Bench Pro for problems they found while auditing that benchmark:</p> <blockquote> <p>In light of these results, we estimate that ~30% of SWE-bench Pro tasks are broken, and advise that model developers carefully examine results</p> </blockquote> <p>I've had some early access to GPT-5.6 Sol - it's definitely very competent, though so far it hasn't struck me as better than Fable at the kind of complex coding tasks I've been using with Anthropic's model.</p> <p>As usual, the <a href="https://developers.openai.com/api/docs/guides/latest-model?model=gpt-5.6">model guidance for using GPT-5.6</a> has the most interesting details. There are a bunch of new API features that I need to explore (and probably add support for in <a href="https://llm.datasette.io/">LLM</a>), including:</p> <ul> <li> <a href="https://developers.openai.com/api/docs/guides/tools-programmatic-tool-calling">Programmatic Tool Calling</a> allows the models to "compose and run JavaScript that orchestrates tool calls" - which sounds to me like it could help bridge the gap between MCPs and full terminal sessions that can compose CLI utilities in useful ways. Also reminiscent of the <a href="https://platform.claude.com/docs/en/agents-and-tools/tool-use/web-search-tool#dynamic-filtering">dynamic filtering</a> mechanism Anthropic added to their web search tool, which allows code execution against web results as part of a single model turn.</li> <li> <a href="https://developers.openai.com/api/docs/guides/tools-multi-agent">Multi-agent</a> lets the model "spin up subagents for parallel, focused work" - the sub-agent pattern now baked into the core API.</li> <li> <a href="https://developers.openai.com/api/docs/guides/prompt-caching#prompt-cache-breakpoints">Prompt cache breakpoints</a> brings the Claude model of prompt caching to OpenAI, letting you be explicit about where the cache breakpoints are rather than relying on the API to detect them automatically. Personally I much prefer automatic detection (still supported by OpenAI), but presumably there are optimization cost savings to be had here if you put the work in.</li> <li>You can now set <a href="https://developers.openai.com/api/docs/guides/images-vision#choose-an-image-detail-level">detail: original</a> on image requests to avoid resizing the image at all before it is processed.</li> </ul> <p>Here's <a href="https://static.simonwillison.net/static/2026/gpt-5.6-pelicans.html">a full page with 18 different pelicans</a> - for reasoning efforts none, low, medium, high, xhigh, and max across the three different models. It also lists their token and calculated costs - the least expensive was gpt-5.6-luna at effort none for 0.71 cents, the most expensive was gpt-5.6-sol at max reasoning level for 48.55 cents.</p> <p><img src="https://static.simonwillison.net/static/2026/gpt-5.6-pelicans.webp" alt="A grid of nine pelicans riding bicycles, of varying quality" style="max-width: 100%;" /></p> <p>In further pelican news, if you jump to 17:50 in <a href="https://www.youtube.com/live/Wq45rvPGNHs?t=1070s">their livestream from this morning</a> you'll see OpenAI's own demo of 3D pelicans riding a tricycle, a bicycle, a pony, and another pelican!</p> <p><img src="https://static.simonwillison.net/static/2026/pelican-riding-a-pelican.jpg" alt="Frame from a livestream showing a 3D model of a pelican riding another pelican" style="max-width: 100%;" /></p> <p>Tags: <a href="https://simonwillison.net/tags/ai">ai</a>, <a href="https://simonwillison.net/tags/openai">openai</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/llm-tool-use">llm-tool-use</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>, <a href="https://simonwillison.net/tags/gpt-5">gpt-5</a></p>

Meta's pitch to users is Spark's ability to handle large agentic workloads, fix bugs, and help with large code migrations — the kind of automation that enterprises are increasingly turning to AI companies to provide.

Fine-tuning LLMs for financial natural language processing (NLP) is constrained by limited, imbalanced data. Real-world financial news overrepresents earnings... Fine-tuning LLMs for financial natural language processing (NLP) is constrained by limited, imbalanced data. Real-world financial news overrepresents earnings and stock movements, while rarer events such as credit-rating changes, product approvals, and labor issues are harder to capture at scale. Synthetic generation can help fill those gaps for trading research, risk modeling, and surveillance… Source

Steven Bartlett's company has dialed back its use of AI on LinkedIn in favor of human-written posts. Stuart C. Wilson/Getty Images for Cannes Lions New data suggests LinkedIn is filling up with AI-written content. Pangram estimates 41% of long-form LinkedIn posts and 30% of short-form ones are AI-generated. Podcast star Steven Bartlett stopped using AI on LinkedIn after noticing the prevalence of "slop." If you're using AI to write your LinkedIn posts, you might want to reconsider. New data from Pangram suggests LinkedIn has become inundated with AI content. The AI detection firm estimates that 41% of long-form LinkedIn posts and 30% of short-form ones were likely AI-generated, based on its data from April to June. LinkedIn had the highest average among the platforms it tracked, which included X, Reddit, Substack, and Medium. One prominent creator who noticed this trend and reworked his LinkedIn strategy is "The Diary of a CEO" star Steven Bartlett. His company, FlightStory, stopped using AI to write LinkedIn posts after noticing that AI was filling up the platform. "You can really see the AI slop," FlightStory CRO Christiana Brenton previously told Business Insider. "What Steven detected very early on, and as we did for all of our creators, is that when the world swings left, the opportunity is right. What's going to cut through on LinkedIn now more than ever? Actual human-written words. So he now personally and the team write every single piece of social copy and content that goes out into the world." Posts performed better this way, the company said. "You'll even notice now if you do follow Steven, there's spelling mistakes and errors, and he doesn't fix them by design," Brenton said. "When you're inundated with AI content, it starts to feel less human." LinkedIn has moved aggressively to get people to use AI. When you start a new post, a prominent button appears that lets you polish it with AI. However, the company said it's taking steps to stop "slop" from proliferating. "While AI can be a helpful tool for refining language, we're seeing a rise in what many call 'AI slop,' content that is low-effort, AI-generated content that may sound polished on the surface but lacks any real unique perspective or substance," the company wrote in June. As companies race to adopt AI, some people have gotten more skeptical about the tech. Gartner found that half of the 1,539 people in the US it surveyed in October preferred to do business with companies that don't use AI in their messaging. We've reached the point where people are going to extreme lengths to prove they're not a bot. A Use.AI survey this year found that 39% of 12,600 people surveyed across the US, UK, EU, and Latin America were going so far as to change how they wrote, specifically to avoid sounding AI, by shortening sentences and removing the telltale AI sign: em dashes. Yikes. So go ahead, add AI skills to your profile. But when it comes to posting, you might want to follow Bartlett's lead. Read the original article on Business Insider

In this week’s episode of Build Mode, Isabelle Johannessen talks with Precursor Ventures' Charles Hudson about the headwinds facing early-stage founders today and the most common mistakes founders should avoid in order to get funded.

If you're handling AI agents like a service account or API token, consider yourself behind. AI agents need a fundamentally different approach.