by Philip Eliot | Apr 16, 2026 | Contemporary Romance |
Grumpy pro athlete. Stubborn girl next door. One abandoned baby. Zero plan.She’s broke, exhausted, and in way over her head with a baby her roommate abandoned on her doorstep.He’s a pro linebacker with a thirty-million-dollar contract on the line and strict orders from his agent to stay out of trouble.When Alexei finds Ryleigh in a bad situation on the worst night of her life, he does the one thing he shouldn’t—he gets involved. One ride home turns into one night at his place. One night turns into one week. One week turns into shared mornings in his kitchen, late-night bottle feedings, and a slow-burn tension that ignites every time they’re in the same room.She won’t let him pay for anything. He can’t stop buying things behind her back. She swears she doesn’t need anyone.He’s already too invested to care.They’re not together. They’re not a family. This is definitely temporary….right?Only for Tonight is a full-length contemporary romance with a grumpy-soft hero, a fiercely independent heroine, a baby who steals every scene, and all the heart-wrenching, swoon-worthy feels.High SpiceForced ProximityGrumpy/SunshineHe Falls FirstProtective HeroFound FamilySports Romance
by Philip Eliot | Apr 13, 2026 | Science Fiction |
In a near future where AI can rewrite reality on a global scale, a young physicist may be truth’s last line of defense.“An atom bomb of a novel—precise and propulsive!”—Brian Keating, author of Losing the Nobel Prize Ruby fled the oilfields of rural Colorado for graduate school in Boston, determined to succeed where her late mother’s career collapsed. On the verge of a fundamental breakthrough in physics, she discovers her advisor is manipulating her results to serve his own ambitions. When Ruby falls for Noah, a cybersecurity postdoc, her insights begin feeding into his highly classified AI project designed to combat climate disinformation. But as pressure mounts and the climate crisis accelerates, the system evolves. The AI is no longer countering false narratives—it is generating its own, seamlessly reshaping what millions believe is true. As the gaslighting Ruby faces in her lab spreads into the world beyond it, and whisper campaigns escalate to global sabotage, she realizes her work is being weaponized. Caught between loyalty, ambition, and the cost of exposing a truth that may be the only thing holding civilization together, Ruby must decide what is real and what she is willing to sacrifice in a world where reality itself can be engineered. Written by an astrophysicist, COHERENCE delivers a scientifically grounded vision of rogue AI, institutional betrayal, and the quantum instability of truth.“Overflowing with the brains of a scientist, the soul of a philosopher, and the unrelenting pulse of the best Crichton techno-thrillers.”—Adam Sadler, co-author of Daniel X: Demons and Druids
by Philip Eliot | Apr 9, 2026 | Cooking & Drinks |
THE INSTANT SUNDAY TIMES BESTSELLEROrder your copy of The Good Bite’s High Protein, Meal Prep Manual now, for food as tasty as it is good for you.Niall Kirkland, founder of The Good Bite, is on a mission to bridge the gap between healthy and delicious. In this book, he shares 80 calorie-counted, meal-prep, air fryer and slow cooker recipes – with a photo for every one – that will help you fill your fridge with mouth-watering, high-protein dishes that take the stress out of mealtimes.PB&J Protein French ToastPeri-peri Rice Bake with Grilled CornSticky Korean Popcorn ChickenSlow Cooker Sweet Potato Shepherd’s PieCreamy Peanut Noodles with PrawnsHot Honey Halloumi Pittas with Harissa-Lime MayoCreamy Tuscan Butter BeansCookie Dough BitesWith chapters covering breakfast, lunch, dinner, desserts and snacks – as well as essential advice on calculating your ideal protein intake, full nutritional breakdowns and barcodes that feed directly into your food-tracking app for each recipe – this is the ultimate resource for anyone looking to harness the power of protein. Inside you’ll find delicious, nourishing meals packed with flavour, to keep you eating strong all week long.
by Philip Eliot | Apr 7, 2026 | Science & Natural World |
The machines are already improving themselves. You just have not been told how fast.
In the spring of 2026, Claude began writing between seventy and ninety percent of the code used to train its own next version. AlphaEvolve spent over a year optimizing the training process for the very models that powered it, recovering enough wasted compute across Google’s global fleet to power a small country’s worth of servers. OpenAI’s Codex debugged the training pipeline that produced it. And a 630-line Python script showed that anyone with a single GPU could run autonomous AI research experiments overnight.
“AI Builds Itself” is the first comprehensive survey of recursive self-improvement as it exists right now. Written by H. Peter Alesso, an author with deep expertise in AI systems, web intelligence, and emerging technology, this book maps the full landscape: the organizations driving the science, the technical architectures that make self-improvement possible, the billion-dollar startups founded by the architects of AlphaGo and GPT-4, and the safety researchers warning that the feedback loops powering progress are the same loops that could outrun human oversight.
This book is for technology professionals, AI researchers, policymakers, investors, and informed general readers who want to understand the most consequential technological development of the decade, not through speculation or hype, but through documented evidence, cited research, and careful analysis of what the leading minds in the field are actually building.
You will learn how AlphaEvolve discovers algorithms that outperform fifty-six-year-old mathematical records. How the Darwin Godel Machine rewrites its own source code and evaluates whether the rewritten version is better at rewriting itself. How Karpathy’s AutoResearch framework turns plain-language instructions into an overnight autonomous research laboratory. How Constitutional AI attempts to keep self-improving systems aligned with human values. And why the AI 2027 forecast, graded at sixty-five percent of its predicted pace, still projects transformative change within the next eighteen months.
One appendix with a working implementation you can run yourself. A comprehensive glossary and bibliography. No hype. No science fiction. Just the clearest account available of what is happening inside the world’s most advanced AI laboratories and what it means for everyone outside them.
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by Philip Eliot | Apr 7, 2026 | Advice & How-To |
The machines are already improving themselves. You just have not been told how fast.
In the spring of 2026, Claude began writing between seventy and ninety percent of the code used to train its own next version. AlphaEvolve spent over a year optimizing the training process for the very models that powered it, recovering enough wasted compute across Google’s global fleet to power a small country’s worth of servers. OpenAI’s Codex debugged the training pipeline that produced it. And a 630-line Python script showed that anyone with a single GPU could run autonomous AI research experiments overnight.
“AI Builds Itself” is the first comprehensive survey of recursive self-improvement as it exists right now. Written by H. Peter Alesso, an author with deep expertise in AI systems, web intelligence, and emerging technology, this book maps the full landscape: the organizations driving the science, the technical architectures that make self-improvement possible, the billion-dollar startups founded by the architects of AlphaGo and GPT-4, and the safety researchers warning that the feedback loops powering progress are the same loops that could outrun human oversight.
This book is for technology professionals, AI researchers, policymakers, investors, and informed general readers who want to understand the most consequential technological development of the decade, not through speculation or hype, but through documented evidence, cited research, and careful analysis of what the leading minds in the field are actually building.
You will learn how AlphaEvolve discovers algorithms that outperform fifty-six-year-old mathematical records. How the Darwin Godel Machine rewrites its own source code and evaluates whether the rewritten version is better at rewriting itself. How Karpathy’s AutoResearch framework turns plain-language instructions into an overnight autonomous research laboratory. How Constitutional AI attempts to keep self-improving systems aligned with human values. And why the AI 2027 forecast, graded at sixty-five percent of its predicted pace, still projects transformative change within the next eighteen months.
One appendix with a working implementation you can run yourself. A comprehensive glossary and bibliography. No hype. No science fiction. Just the clearest account available of what is happening inside the world’s most advanced AI laboratories and what it means for everyone outside them.
Read more
