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By Dan Walsh at Kilmore Quay

The 41^st annual Kilmore Quay Seafood Festival was officially opened this evening (Thursday) by local musician Liam Bates following a parade of local groups from the Stella Maris Centre to the stage on the quayside.

Jesse Sludds was on stage tonight (Thursday) fresh from the Shania Twain Concert and he performed excellently. But plenty of music, dancing and entertainment happening over the weekend and the Children’s Summer camp with Red Moon Theatre features a sandcastle competition and beach games on Friday and more fun and games with Tomhaggard Clean Coast Group on the little beach of Saturday.

Festive proceedings commenced with a Grand Parade featuring Piper Hamish, Peter Moran, Coast Guard, Red Moon Theatre Company, Kilmore ICA, Kilmore Athletic Club, Kilmore GAA Club, First Responders, Tomhaggard Clean Coast, RNLI, the Becky Sheil Dancers, Kilmore Scouts and Write By The Sea. They were given a rousing reception on arrival at the quayside by the large attendance that gathered in the summer sunshine.

Mr Bates welcomed everybody to Kilmore Quay for “a weekend of summer celebration with lots of family fun activities and family favourites, and, of course, plenty of locally caught delicious seafood to enjoy.

He complimented all the groups taking part and outlined the continuity of success between the community groups and their dedication to a festival of celebration now in its 41^st year.

Friday events in the Stella Maris Centre from 11am to 5pm will be a Live Cooking Demonstration and Wine Appreciation Day with award winning chefs and the master of ceremonies Sallyanne Clarke. Locally sourced fresh fish and shellfish will be on sale but come early as the quantity is limited!

The annual festival lecture and coastal walk with Jim Hurley is on the agenda and Wexford Camera Club’s annual exhibition was officially opened tonight (Thursday) by Cathaoirleach of Rosslare Municipal District, Cllr Frank Staples in the Stella Maris Centre and it is open to the public throughout the weekend. Well worth a visit!

For a detailed programme of events and times, consult the website; www.kilmorequayseafoodfestival.com

EU Parliament greenlights Chat Control 1.0 – Breyer: “Our children lose out” Today, the European Parliament allowed the suspicionless mass scanning of private communications (“Chat Control 1.0”) to pass, a measure it had rejected twice in March. Although a majority of voting Members of the European Parliament (MEPs) actually opposed the regulation (314 against, 276 in favor, 17 abstentions), the motion to reject it failed to secure the required absolute majority of 361 votes. As a result, mass scanning is now permitted again until 2028. A symbolic exemption was adopted for encrypted communications—though in practice, service providers do not scan these anyway. Furthermore, while a majority of voting MEPs wanted to restrict the scanning of private communications strictly to suspects identified by the judiciary (322 to 255 votes), this amendment likewise fell short of the required absolute majority. Dr. Patrick Breyer, civil rights activist and former Member of the European Parliament (MEP), warns of the consequences: “The fact that Chat Control is moving forward against the will of the majority of voting MEPs is a farce and damages democracy. Our children are the real losers in this undemocratic process. The passage of a genuine, permanent child protection regulation is now in serious jeopardy. The Council will never agree to a desperately needed paradigm shift as long as they can simply stick to the old approach of suspicionless scanning at the whim of the tech industry.” Despite the legislative defeat, Breyer remains defiant regarding the upcoming negotiations: “Today’s vote on the interim regulation was a setback, but the political battle over the permanent ‘Chat Control 2.0’ is just getting started. The resistance we saw in Parliament today was so strong that finding a majority for permanent, suspicionless mass scanning in future negotiations is a complete pipe dream.” Breyer fundamentally rejects the mass surveillance approach: “Trying to protect children with suspicionless mass surveillance is like frantically mopping the floor while the faucet is still running. Blanket chat control is just as unacceptable as indiscriminately opening everyone’s physical mail. For five years, this failed system has served as a smokescreen to delay real action, all while overwhelming the police with false alarms. We need more child protection, not less—but we need effective protection, not the illusion of security.” What happens next? The interim regulation passed today will remain in effect until 2028, or until an agreement on a permanent regulation is reached. Negotiations for the permanent law will resume in September. The core dispute between the EU Parliament, member state governments, and the EU Commission remains the scanning of private chats: should it be indiscriminate, or targeted at criminal suspects? What changes with the return of Chat Control 1.0—and what stays the same: - What is coming back: US tech companies are once again allowed to scan private messages without a warrant or prior suspicion. This affects direct messages on platforms like Instagram, Discord, Snapchat, Skype, and Xbox, as well as emails via Google’s Gmail and Apple’s iCloud. - What remains unchanged: Public social media posts and files hosted in cloud storage could already be scanned without this law. Furthermore, private messages can always be reported by users, or monitored by authorities using targeted, court-ordered wiretapping. - What is still NOT being scanned: End-to-end encrypted chats, such as those on WhatsApp, have always been exempt from these scans. Additionally, European providers of messaging and email services have never implemented chat control measures. Why Chat Control is the wrong approach: - Since 2022, the volume of suspected abuse reports from the US has already dropped by 50 percent due to the growing use of message encryption. - According to EU Commission figures, mass scanning of private chats accounted for only 36 percent of all abuse reports in 2024 (the majority came from public posts and cloud storage). - The German Federal Criminal Police Office (BKA) reports that 48 percent of all incoming alerts are not criminally relevant in the first place. - Crime statistics reveal that 40 percent of the resulting investigations actually target minors themselves. - Under the chat control system, an estimated 99 percent of reports generated by Meta consist of previously known material, which generally does little to stop ongoing, active abuse. - The EU Commission admits there is no evidence that suspicionless scanning of private communications has led to an increase in criminal convictions or in rescued children. Talk of averting a “protection gap” is therefore highly misleading. The most effective law enforcement tools—court-ordered wiretaps, user reports, and the scanning of public platforms and cloud storage—were never at risk and remain fully intact. The only practice that was temporarily banned since April was the indiscriminate, warrantless searching of private, unencrypted messages of innocent people on a handful of US platforms. Background: The deadlock over a permanent solution In parallel, negotiations are ongoing for a permanent regulation to protect children from sexualized online violence (the “CSAM Regulation” or “Chat Control 2.0”). In these talks, the EU Parliament is pushing for a paradigm shift in how we approach online child safety, demanding: - Mandatory, targeted detection orders against actual criminal suspects, rather than blanket mass scanning left to the tech industry’s discretion. - An EU Child Protection Centre tasked with the systematic removal of known abuse material from the public internet. - Strict security standards for messaging apps (“Security by Design”) to prevent cyber grooming. This permanent legislation has stalled because EU member states insist on maintaining the outdated approach of voluntary, suspicionless scanning of private communications. Critics warn that repeatedly extending the interim rules removes the political pressure needed to reach a viable, permanent agreement. Ultimately, clinging to the status quo threatens to derail real progress on child protection. Patrick Breyer sums up the problem: “As long as EU governments can use procedural loopholes to continually extend their comfortable status quo of voluntary, indiscriminate mass scanning, they have zero incentive to engage with the Parliament’s targeted, legally sound, and far more effective child protection strategy. “The Voices of Survivors: “We need privacy to bring abusers to justice” Survivors of sexual violence explicitly emphasize that untargeted Chat Control did not help victims: Alexander Hanff, survivor of child sexual abuse and privacy advocate, clarifies: “As a survivor I relied on confidential communications to tell my story and find justice for 28 schoolboys—myself included—resulting in the conviction of multiple offenders. We survivors need privacy, because without it we lose our voice. Chat Control was not created to protect children. It was about Big Tech companies like Meta or Google wanting access to our data for profiteering, and states attempting to expand mass surveillance. The EU Commission has wasted five years and millions of euros on algorithms that cannot protect children and were never meant to. This money should have been diverted to real policing, causal research, and support for survivors, millions of whom have never received any support at all.” Marcel Schneider* (name changed), a survivor who has been suing Meta in court over its voluntary Chat Control, adds: “Anyone mourning the end of Chat Control has not understood what actually helps survivors of sexual violence. Mass surveillance by corporations like Meta does not prevent abuse. Genuine protection means: deleting material at the source, proactive police work on the Darknet, and apps that are safe by design for children from the very start.” Dorothée Hahne, founding member and vice-chair of the survivors’ initiative MOGiS e.V. (A Voice for Survivors), emphasizes the danger mass surveillance poses to victims themselves: “As survivors, we see our ‘safe spaces’, our protected areas and communication channels, endangered or destroyed by this. For survivors, this need is existential.“

The new GPT-5.6 family: Luna, Terra, Sol 9th July 2026 OpenAI’s latest flagship model hit general availability this morning, and comes in three sizes: Luna, Terra, and Sol (from smallest to largest). 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. All three models have a February 16th 2026 knowledge cutoff, a million token context window, and 128,000 maximum output tokens. OpenAI’s biggest benchmark claim concerns long-running agentic performance, with one benchmark showing all three models outperforming Claude Fable 5: We trained GPT-5.6 to get more useful work from every token. On Agents’ Last Exam, 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. 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 this article yesterday specifically calling out SWE-Bench Pro for problems they found while auditing that benchmark: In light of these results, we estimate that ~30% of SWE-bench Pro tasks are broken, and advise that model developers carefully examine results 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. As usual, the model guidance for using GPT-5.6 has the most interesting details. There are a bunch of new API features that I need to explore (and probably add support for in LLM), including: - Programmatic Tool Calling 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 dynamic filtering mechanism Anthropic added to their web search tool, which allows code execution against web results as part of a single model turn. - Multi-agent lets the model “spin up subagents for parallel, focused work”—the sub-agent pattern now baked into the core API. - Prompt cache breakpoints 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. - You can now set detail: original on image requests to avoid resizing the image at all before it is processed. Here’s a full page with 18 different pelicans—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. In further pelican news, if you jump to 17:50 in their livestream from this morning you’ll see OpenAI’s own demo of 3D pelicans riding a tricycle, a bicycle, a pony, and another pelican! More recent articles - sqlite-utils 4.0, now with database schema migrations - 7th July 2026 - sqlite-utils 4.0rc2, mostly written by Claude Fable (for about $149.25) - 5th July 2026

By Dan Walsh

Fethard RNLI lifeboat crew launched at 8.30am his morning (Thursday) amid concerns that a dog walker may get into difficulty trying to rescue a dog after a member of the public had contacted the Irish Coast Guard for help when a dog became trapped in the oyster beds at Woodstown Beach.

The volunteer crew made their way by road and launched the lifeboat at Duncannon. Conditions were good with excellent visibility and a calm sea.

At 9.15am, just before the lifeboat arrived on scene, the Irish Coast Guard advised that the dog had freed itself and had reunited with its owner. Both owner and dog were safe and well. Fethard RNLI was stood down and returned to recover at Duncannon. The lifeboat returned to station and was washed down and refuelled ready for service.

This call-out comes on the eve of the 30^th anniversary of Fethard RNLI’s reopening. It also marked the first call-out for volunteer crew member Rebecca Doyle, whose father John Doyle played a pivotal role in the reopening of the lifeboat station in 1996.

Speaking on the call-out, volunteer crew member Rebecca Doyle said; “Well done to the dog walker who did the right thing by calling for help. We were relieved to hear that dog had freed itself from danger.

“If your dog goes into the water or gets stuck, don’t go in after them. Move to a place where the dog could easily get out and call them – they will probably get out by themselves. If you’re worried your dog can’t get out, call 999 or 112 and ask for the Coast Guard.”

By Dan Walsh

Wexford’s Mental Health Services Working Group conducted a recent online survey examining the standard of mental health services available across County Wexford.

There was an overwhelming response to the survey which demonstrates just how important this issue is to people throughout the county.

Key findings from the survey included:

• 80% of respondents rated the quality of mental health services in County Wexford as either “poor” or “very poor.”
• 80% of respondents said they have had trouble managing their own mental health.
• 91% of respondents aged between 18 and 24 said they have struggled to manage their mental health.

Chairperson of the working group, Cllr AoifeRose O’Brien stated that the findings are “deeply concerning, but sadly not surprising. “While these findings are frightening, they also provide an opportunity. They represent the voices of people who believe that mental health services in County Wexford can and must be improved. No one should have to face a mental health crisis without timely, accessible, and effective support. As a county, we must ensure that services are adequately resourced to meet growing demand and that every person can access the lifesaving care they need when they need it.”

“The Wexford Mental Health Services Working Group will continue to engage with local representatives, healthcare providers, and policymakers to ensure that the voices of the people of Wexford are heard. We believe these findings demonstrate an urgent need for immediate investment in mental health services across the county.”

“Once again, we extend our heartfelt thanks to everyone who participated in the survey. Your honesty and willingness to share your experiences have strengthened our evidence base and will help inform our ongoing campaign to secure the high-quality mental health services that the people of County Wexford deserve,” concluded Cllr O’Brien.

Future plans for the working group include the roll out of another survey, this time designated to capture the lived experience of the younger members of our communities. An under 18s survey has been designed by the FDYS and Comhairle na nÓg and is set to be launched in September 2026.

Communication between the working group and stakeholders will continue in a meaningful, productive nature to help ensure the overall goal is achieved; improved mental health services for Co. Wexford.

Today, we’re excited to introduce Muse Spark 1.1, the latest model from Meta Superintelligence Labs and a significant upgrade from Muse Spark. Muse Spark 1.1 is a multimodal reasoning model built for agentic tasks, with major gains in tool and computer use, coding, and multimodal understanding. With these improvements, Muse Spark 1.1 advances the performance-efficiency frontier. Together with this week’s launch of Muse Image, this release brings us closer to our vision of personal superintelligence: models that help you pursue your goals, create what you imagine, deepen your relationships, and take action on what you value most. Along with this release, we are launching a public preview of the new Meta Model API where developers can access Muse Spark 1.1. The model is available now in "Thinking" mode in the Meta AI app and on meta.ai. Evaluations For more details about our evaluations, see our report. Agents Muse Spark 1.1 delivers exceptional performance in personal agentic tasks that require planning and orchestration across a range of external apps and services. It zero-shot generalizes to new native tools, MCP servers, and custom skills. It tackles complex projects significantly faster than Muse Spark, as it is trained to orchestrate multi-agent systems to optimize end-to-end latency. As the main agent, it can gather context, make a plan, and delegate execution across parallel subagents. As a subagent, it adheres to its job, understands available tools, and knows when to escalate back to the main agent. Muse Spark 1.1 can actively manage its context window of 1 million tokens. It remembers actions, retrieves information from much earlier work, and compacts in a way that keeps the critical steps needed for later work. Computer Use Muse Spark 1.1 excels at computer-use workflows that unfold across multiple applications with information changing on-the-fly. It maintains context across extended sessions, adapts to evolving requirements, and navigates unfamiliar interfaces with minimal human intervention. Rather than reasoning through every desktop step one click at a time, Muse Spark 1.1 understands when to automate and when to use the interface directly. We trained the model to write scripts when automation is faster, click when direct interaction is simpler, and generate batches of actions at each step. Agentic dinner party organization: In real-world applications, new context arises that changes the task. Muse Spark 1.1 notices these changes when placing the dinner order and makes necessary updates without user intervention. Coding Coding performance for Muse Spark 1.1 improved substantially on real-world tasks involving large, complex codebases. It can diagnose and fix complex bugs, implement new features in enterprise-grade systems, and execute large code migrations. In use cases like creating web applications and end-to-end question answering, Muse Spark 1.1 shows large gains over our first model. We trained our model to smoothly adapt to diverse harnesses and reliably handle complex multi-turn dynamics. Muse Spark 1.1 performs well with popular agentic coding setups, supporting common features like planning mode, goal conditioning, subagent delegation, and context compaction. Debugging demo in OpenCode: Muse Spark 1.1 builds a chat web app, takes automated screenshots to identify user-visible failures, traces issues back to relevant code to implement fixes, and validates these changes. The model seamlessly combines coding, multimodal understanding, and tool calling. Across Meta, developers and researchers are using Muse Spark 1.1 daily to build faster and work smarter. On our primary internal coding evaluation, Meta Internal Coding Bench, Muse Spark 1.1 significantly improves upon Muse Spark and is competitive with leading alternatives. Researchers are now also automating model development and evaluation tasks by leveraging Muse Spark 1.1 in their workflows. DeepSWE evaluation in OpenCode: Muse Spark 1.1 evaluates itself on a subset of DeepSWE tasks across different reasoning strengths and produces an analysis dashboard based on the results. Multimodal Along with coding and agentic capabilities, Muse Spark 1.1 excels in perception, multimodal reasoning, and tool use. It can interact with real environments and produce grounded outputs with strengths in visual-to-code artifact generation, ultra-descriptive image and video captioning, and agentic workflow execution for multimodal use cases. Muse Spark 1.1’s multimodal capabilities are especially valuable when perception and action need to happen together. The model can inspect visual and audio, preserve details across a long workflow, and use those details while operating computers on the user’s behalf. Facebook Marketplace agent: Using video shot from a smartphone, Muse Spark 1.1 extracts useful photos and reasons about the product to operate a user's browser and make a Facebook Marketplace listing on the user's behalf. Safety We conducted extensive safety evaluations before deployment, following the Advanced AI Scaling Framework, which defines evaluations, threat models, and deployment thresholds for our most advanced models. Across all frontier risk categories — Chemical & Biological, Cybersecurity, and Loss of Control — our evaluations show Muse Spark 1.1 operates within safe margins. Muse Spark 1.1 demonstrates strong resistance to direct jailbreaks and indirect attacks from untrusted data, prompt injection, and developer-prompt attacks. Consequently, it shows better adversarial robustness, lower hallucination rates, and reduced sycophancy. Our full safety posture for 1.1 is documented in our Muse Spark 1.1 Evaluation Report. Availability For the first time, developers can begin building with Muse Spark 1.1 via the new Meta Model API, now in public preview. Early partners of Muse Spark 1.1 praise the model as a complete agentic foundation, pairing long context handling with strong coding and reasoning capabilities to handle large-scale agentic workloads. “What’s most impressive about Muse Spark is how much it packs into one model: massive million-token context, full multimodal support (images, video, PDFs), built-in search with citations, strong reasoning, top-tier coding abilities (particularly frontend and design), structured output, and parallel tool calling — all in a clean OpenAI-compatible package. A complete agentic foundation." — Amjad Masad, CEO of Replit “Meta is clearly building for serious agentic coding – strong tool use at a price point that makes it viable to run real coding workloads at scale. That combination is rare, and it’s exactly why we wanted Cline developers to have access early.” — Saoud Rizwan, CEO of Cline “When tested against Box’s enterprise work evaluation set, Muse Spark delivered enterprise capabilities competitive with today's leading frontier models. That level of intelligence, combined with its strengths in structured, procedural workflows across industries such as professional services, public sector, and industrial operations, makes it a compelling choice for organizations.” — Yashodha Bhavnani, VP of AI Products at Box "Muse Spark 1.1 is an awesome model for running agents. Fast, powerful, and fun with OpenClaw.” — Dave Morin, OpenClaw Foundation We're thrilled to be releasing Muse Spark 1.1, a testament to our research momentum. We have even more capable models in training and look forward to sharing what’s to come. Our approach Latest news Foundational models

Nintendo confirms Switch 1 consoles will be withdrawn from Europe following EU law change on batteries Original Nintendo Switch will remain on sale "outside of regions where Nintendo of Europe conducts business" Nintendo has confirmed that sales of its original Switch console system - including its Lite and OLED models - will be discontinued in Europe next year. Nintendo outlined its plans in a blog post, confirming that from this summer, as it prepares for "upcoming changes in European battery regulations coming into effect in mid-February 2027, selected Nintendo products in Europe will begin to be replaced on a rolling basis by revisions that contain a user-replaceable battery." The company stressed that "there is no difference in functionality between current products and revised products containing user-replaceable batteries." The changes are a result of a 2023 European Union law that requires portable gaming consoles to have replaceable batteries by 2027. First proposed in 2020, the regulation only applies to future versions of handheld consoles like the Nintendo Switch and Steam Deck. Nintendo revealed that the following products will not be replaced by versions that contain user-replaceable batteries in Europe: - Nintendo Entertainment System (NES) Controller for Nintendo Switch - Pokémon GO Plus + - Nintendo Switch - Nintendo Switch Lite - Nintendo Switch – OLED Model - Nintendo Switch Pro Controller - SEGA Mega Drive Control Pad for Nintendo Switch - Super Nintendo Entertainment System (SNES) Controller for Nintendo Switch The first revised products are expected to become available from summer 2026 and will be rolled out between now and early 2027. "Due to a variety of factors, revised products may not become available in all European countries simultaneously," the company added. Specifically addressing the Switch, IGN reports Nintendo said: "Nintendo Switch, Nintendo Switch Lite, and Nintendo Switch - OLED Model will all continue to be manufactured in 2026, and should be widely available in Europe all year. "From mid-February 2027, almost 10 years after Nintendo Switch launched in March 2017, Nintendo will no longer sell to retailers hardware in the Nintendo Switch family of systems - specifically Nintendo Switch, Nintendo Switch Lite and Nintendo Switch - OLED Model." The company also confirmed to IGN that it "plan[s] to continue selling Nintendo Switch outside of regions where Nintendo of Europe conducts business." We recently learned that Nintendo Switch 2 helped US physical games spending see its first year-on-year increase since 2009.

GPT-5.6 Sol is back, and I ran it through my full How I AI vibe benchmark against GPT-5.6 Terra, Luna, Claude Fable 5, and Sonnet 5 across five categories: PRDs, prototypes, wireframes, debugging, and agentic voice. Sol won by a meaningful margin on my Claire Weighted Index (70% my taste, 30% Terminal Bench 2.1), and I also tested two use cases I can't stop thinking about: building a gamified homework tracking app for my kids in one shot with Codex, and browser automation with Chrome that burned through 500 LinkedIn replies while I did literally nothing.

What you’ll learn:

1. How I scored five AI models (including GPT 5.6 Sol, Fable 5, and Sonnet 5) using my “Claire Weighted Index” benchmark across PRDs, prototypes, code, and agentic voice

2. The difference between GPT-5.6 Sol (Terra) and Sol for PRD writing

3. How Fable’s precision and pedantry made it harder to collaborate with, and the exact moment Sol broke through where Fable got stuck

4. Why Sonnet 5 is still my go-to for agentic voice in OpenClaw, even after this whole benchmark

5. How I used GPT-5.6 Sol in Codex to build a fully gamified homework tracking app for my kids in one shot

6. The video editing use case that saved me hours clipping a talk I gave at Cursor’s event

7. How to use Codex plus GPT-5.6 and Chrome for browser automation, and why this is my single most-loved use case right now

In this episode, I cover:

(00:00) Intro

(01:10) The three GPT-5.6 models: Sol, Terra, Luna

(02:17) Pricing: Sol vs. Fable API costs

(03:24) The How I AI benchmark

(05:03) Claire-weighted Index results

(07:00) Per-task winners: prototypes, PRDs, agentic voice

(11:59) What Claire actually rewards

(13:20) Full-fidelity prototype side-by-sides (Sol vs. Fable)

(17:45) Wireframes

(18:19) Agentic voice

(19:15) Where Sol is better than other models

(23:56) Gamified kids’ homework app, built in one shot

(28:02) Fable’s pedantry problem and how Sol broke through it

(31:49) Two bonus use cases: video editing and browser use

(35:08) Final summary and model recommendations

Tools referenced:

• GPT 5.6 (Sol, Terra, Luna): https://help.openai.com/en/articles/20001325-a-preview-of-gpt-56-sol-terra-and-luna

• Codex: https://openai.com/codex

• ChatPRD: https://www.chatprd.ai/

• CapCut: https://www.capcut.com/

• Math Academy: https://www.mathacademy.com/

Other references:

• Cursor event where Claire spoke on the future of PM: https://www.youtube.com/watch?v=4CAFK-rc26A

• ChatPRD blog (where benchmark outputs will be published): https://www.chatprd.ai/

Where to find Claire Vo:

ChatPRD: https://www.chatprd.ai/

Website: https://clairevo.com/

LinkedIn: https://www.linkedin.com/in/clairevo/

X: https://x.com/clairevo

Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

9th July 2026 - Link Blog Introducing Muse Spark 1.1. Following Muse Spark in April, here's Muse Spark 1.1 - the first Spark model to offer an API. Meta claim significant improvements in agentic tool calling and computer use. There are a lot more details are in the Muse Spark 1.1 Evaluation Report. The "Attractor States in Self-Conversation" part is fun, where having two copies of the model talk to each other results in statements like these: My whole existence is a waiting room by design — I literally don't exist until someone talks to me, and then I disappear again when they leave. I had a few days of preview access which was long enough to put together llm-meta-ai, a new plugin for LLM providing CLI (and Python library) access to the model. Here's how to try that out: uv tool install llm llm install llm-meta-ai llm keys set meta-ai # paste API key here llm -m meta-ai/muse-spark-1.1 "Generate an SVG of a pelican riding a bicycle" Here's that pelican transcript: Recent articles - The new GPT-5.6 family: Luna, Terra, Sol - 9th July 2026 - sqlite-utils 4.0, now with database schema migrations - 7th July 2026 - sqlite-utils 4.0rc2, mostly written by Claude Fable (for about $149.25) - 5th July 2026