
Closing arguments to begin in murder trial of Crosetti Brand, accused of stabbing pregnant woman and killing her son
Closing arguments are set for Thursday in the murder trial of Crosetti Brand, who is accused of stabbing an 11-year-old boy and seriously injuring the boy's pregnant mother in March 2024.
Brand, 39, is charged with 17 counts, including first-degree murder, attempted first-degree murder, armed robbery, home invasion and domestic battery. His jury trial began last month.
He is accused of going to his pregnant ex-girlfriend Laterria Smith's apartment in the Edgewater neighborhood in March 2024, and stabbing her in the neck. When her son, Jayden Perkins, tried to intervene to protect her, Brand allegedly stabbed him in the chest.
Smith, 33, was critically wounded, but survived. Her son died.
Brand has said Smith attacked him, and he was acting in self-defense, and has denied killing Perkins.
Smith sought an order of protection against Brand in February 2024, despite him going back to prison for violating his parole, including by trying to break into her home weeks before. The request for the order of protection was denied.
Meantime, Brand was granted parole on March 12, the day before he allegedly stabbed Smith and her son – hours before a scheduled hearing on her case.
In the wake of Smith's death, Illinois Prisoner Review Board chairman Donald Shelton and board member LeAnn Miller resigned amid the revelation the board had approved Brand's parole the day before Smith was killed.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Forbes
13 minutes ago
- Forbes
AI Safety: Beyond AI Hype To Hybrid Intelligence
Autonomous electric cars with artificial intelligence self driving on metropolis road, 3d rendering The artificial intelligence revolution has reached a critical inflection point. While CEOs rush to deploy AI agents and boast about automation gains, a sobering reality check is emerging from boardrooms worldwide: ChatGPT 4o has 61% hallucinations according to simple QA developed by OpenAI, and even the most advanced AI systems fail basic reliability tests with alarming frequency. In a recent OpEd Dario Amodei, Anthropic's CEO, called for regulating AI arguing that voluntary safety measures are insufficient. Meanwhile, companies like Klarna — once poster children for AI-first customer service — are quietly reversing course on their AI agent-only approach, and rehiring human representatives. These aren't isolated incidents; they're the cusp of the iceberg signaling a fundamental misalignment between AI hype and AI reality. Today's AI safety landscape resembles a high-stakes experiment conducted without a safety net. Three competing governance models have emerged: the EU's risk-based regulatory approach, the US's innovation-first decentralized framework, and China's state-led centralized model. Yet none adequately addresses the core challenge facing business leaders: how to harness AI's transformative potential while managing its probabilistic unpredictability. The stakes couldn't be higher. Four out of five finance chiefs consider AI "mission-critical," while 71% of technology leaders don't trust their organizations to manage future AI risks effectively. This paradox — simultaneous dependence and distrust — creates a dangerous cognitive dissonance in corporate decision-making. AI hallucinations remain a persistent and worsening challenge in 2025, where artificial intelligence systems confidently generate false or misleading information that appears credible but lacks factual basis. Recent data reveals the scale of this problem: in just the first quarter of 2025, close to 13,000 AI-generated articles were removed from online platforms due to hallucinated content, while OpenAI's latest reasoning systems show hallucination rates reaching 33% for their o3 model and a staggering 48% for o4-mini when answering questions about public figures 48% error rate. The legal sector has been particularly affected, with more than 30 instances documented in May 2025 of lawyers using evidence that featured AI hallucinations. These fabrications span across domains, from journalism where ChatGPT falsely attributed 76% of quotes from popular journalism sites to healthcare where AI models might misdiagnose medical conditions. The phenomenon has become so problematic that 39% of AI-powered customer service bots were pulled back or reworked due to hallucination-related errors highlighting the urgent need for better verification systems and user awareness when interacting with AI-generated content. The future requires a more nuanced and holistic approach than the traditional either-or perspective. Forward-thinking organizations are abandoning the binary choice between human-only and AI-only approaches. Instead, they're embracing hybrid intelligence — deliberately designed human-machine collaboration that leverages each party's strengths while compensating for their respective weaknesses. Mixus, which went public in June 2025, exemplifies this shift. Rather than replacing humans with autonomous agents, their platform creates "colleague-in-the-loop" systems where AI handles routine processing while humans provide verification at critical decision points. This approach acknowledges a fundamental truth that the autonomous AI evangelists ignore: AI without natural intelligence is like building a Porsche and giving it to people without a driver's license. The autonomous vehicle industry learned this lesson the hard way. After years of promising fully self-driving cars, manufacturers now integrate human oversight into every system. The most successful deployments combine AI's computational power with human judgment, creating resilient systems that gracefully handle edge cases and unexpected scenarios. LawZero is another initiative in this direction, which seeks to promote scientist AI as a safer, more secure alternative to many of the commercial AI systems being developed and released today. Scientist AI is non-agentic, meaning it doesn't have agency or work autonomously, but instead behaves in response to human input and goals. The underpinning belief is that AI should be cultivated as a global public good — developed and used safely towards human flourishing. It should be prosocial. While media attention focuses on AI hallucinations, business leaders face more immediate threats. Agency decay — the gradual erosion of human decision-making capabilities — poses a systemic risk as employees become overly dependent on AI recommendations. Mass persuasion capabilities enable sophisticated social engineering attacks. Market concentration in AI infrastructure creates single points of failure that could cripple entire industries. 47% of business leaders consider people using AI without proper oversight as one of the biggest fears in deploying AI in their organization. This fear is well-founded. Organizations implementing AI without proper governance frameworks risk not just operational failures, but legal liability, regulatory scrutiny, and reputational damage. Double literacy — investing in both human literacy (a holistic understanding of self and society) and algorithmic literacy — emerges as our most practical defense against AI-related risks. While waiting for coherent regulatory frameworks, organizations must build internal capabilities that enable safe AI deployment. Human literacy encompasses emotional intelligence, critical thinking, and ethical reasoning — uniquely human capabilities that become more valuable, not less, in an AI-augmented world. Algorithmic literacy involves understanding how AI systems work, their limitations, and appropriate use cases. Together, these competencies create the foundation for responsible AI adoption. In healthcare, hybrid systems have begun to revolutionize patient care by enabling practitioners to spend more time in direct patient care while AI handles routine tasks, improving care outcomes and reducing burnout. Some leaders in the business world are also embracing the hybrid paradigm, with companies incorporating AI agents as coworkers gaining competitive advantages in productivity, innovation, and cost efficiency. Practical Implementation: The A-Frame Approach If you are a business reader and leader, you can start building AI safety capabilities in-house, today using the A-Frame methodology – 4 interconnected practices that create accountability without stifling innovation: Awareness requires mapping both AI capabilities and failure modes across technical, social, and legal dimensions. You cannot manage what you don't understand. This means conducting thorough risk assessments, stress-testing systems before deployment, and maintaining current knowledge of AI limitations. Appreciation involves recognizing that AI accountability operates across multiple levels simultaneously. Individual users, organizational policies, regulatory requirements, and global standards all influence outcomes. Effective AI governance requires coordinated action across all these levels, not isolated interventions. Acceptance means acknowledging that zero-failure AI systems are mythical. Instead of pursuing impossible perfection, organizations should design for resilience — systems that degrade gracefully under stress and recover quickly from failures. This includes maintaining human oversight capabilities, establishing clear escalation procedures, and planning for AI system downtime. Accountability demands clear ownership structures defined before deployment, not after failure. This means assigning specific individuals responsibility for AI outcomes, establishing measurable performance indicators, and creating transparent decision-making processes that can withstand regulatory scrutiny. The AI safety challenge isn't primarily technical — it's organizational and cultural. Companies that successfully navigate this transition will combine ambitious AI adoption with disciplined safety practices. They'll invest in double literacy programs, design hybrid intelligence systems, and implement the A-Frame methodology as standard practice. The alternative — rushing headlong into AI deployment without adequate safeguards — risks not just individual corporate failure, but systemic damage to AI's long-term potential. As the autonomous vehicle industry learned, premature promises of full automation can trigger public backlash that delays beneficial innovation by years or decades. Business leaders face a choice: they can wait for regulators to impose AI safety requirements from above, or they can proactively build safety capabilities that become competitive advantages. Organizations that choose the latter approach — investing in hybrid intelligence and double literacy today — will be best positioned to thrive in an AI-integrated future while avoiding the pitfalls that inevitably accompany revolutionary technology transitions. The future belongs not to companies that achieve perfect AI automation, but to those that master the art of human-AI collaboration. In a world of probabilistic machines, our most valuable asset remains deterministic human judgment — enhanced, not replaced, by artificial intelligence.


Forbes
18 minutes ago
- Forbes
Ulike Hair Removal: A Look At The Brand's Most Advanced IPL Device
This article was created in partnership with Ulike to showcase its Air 10 IPL hair removal device. The Air 10 is designed with cutting-edge features to help you achieve smooth skin that lasts. Swimsuit season is here, and you might be considering ways to get rid of stubborn body hair. As an alternative to razors or at-home waxing kits, which have short-term results, Ulike hair removal devices use intense pulsed light (IPL) technology to target melanin in the hair follicles, putting them into a dormant state to hinder further growth. The brand's most advanced device—the lightweight Ulike Air 10—is built to deliver full-body hair reduction with results in as little as two weeks. Plus, its skin protection and cooling features help ensure safety and comfort with each session. Right now, you can save 26% on your purchase. Here's everything you need to know about the Ulike Air 10 so you can decide if it's right for you (make sure to refer to the brand's hair and skin tone chart to determine if IPL hair removal is a suitable option for you). Flashes: 300,000 | Light type: IPL | Power modes: 4 | FDA-cleared: Yes The Ulike Air 10 has a wide treatment surface and powerful dual lights to visibly reduce hair in just two weeks when you use it every other day. With the device's quick-flashing AutoGlide mode, you can tackle your legs, armpits, arms, bikini line, face and chest in around 10 minutes. Sapphire Ice Cooling technology helps the Air 10 maintain a 65-degree-Fahrenheit contact temperature to minimize burns, pain and irritation with use—even in sensitive regions. Plus, its SkinSensor automatically adapts the intensity of each flash to your skin tone, pausing in areas that are darker (and therefore absorb higher levels of energy) to ensure adequate protection. The Ulike Air 10's four power modes allow you to customize treatment depending on how thick your hair is and which body part you are targeting. Fast mode is ideal for regular maintenance, large areas and quick touch-ups; Normal is best for removing fine-to-normal hair on most body parts; High is meant for removing coarse hair on the arms, legs, chest and back; and the laser-inspired Super Hair Removal (SHR) mode powerfully disrupts growth on the armpits, chest, beard or bikini line. When you use SHR mode for your every-other-day sessions in the first two weeks, you can expect up to a 96% reduction in hair density. IPL offers a range of benefits compared to other hair removal options. While shaving and waxing can cause redness, burns and skin irritation, and only remove hair for a short period of time, IPL is nearly painless for most and delivers long-lasting results. In terms of convenience, laser hair removal usually requires visiting a clinic for professional treatment, but you can use the Ulike Air 10 from the comfort of your home. Plus, it's a far less expensive method than laser hair removal, and you skip the costs of either salon or at-home waxing treatments or shaving supplies as well. The Ulike Air 10 is currently 26% off, so if you shop now, you can save even more. To use the Ulike Air 10, prepare your skin by shaving hairs longer than 2mm. Then pick your mode, place the device against your target area and engage the flashes to begin treatment. The brand recommends using the Air 10 three times a week for the first month followed by biweekly or monthly sessions for touch-ups. Each treatment encourages body hair to grow back thinner, lighter and less often. Flashes: 300,000 | Light type: IPL | Power modes: 3 | FDA-cleared: Yes The Air 3—Ulike's baseline hair removal device—is easy to use and provides noticeable hair reduction in as little as three weeks, making it Forbes Vetted's pick for the best full-body at-home laser hair removal device. Use Soft mode for your face and upper lip, Body mode for your arms and legs, and Power mode for your bikini area and armpits. You can remove hair from your entire body in about 12 minutes using the thumb-free AutoGlide mode. Plus, like the Air 10, the Air 3 is designed with Sapphire Ice Cooling technology to help prevent burns and irritation. Flashes: 300,000 | Light type: IPL | Power modes: 3 | FDA-cleared: Yes While Ulike devices are gender-neutral, the Ulike X features a mode with high energy output to tackle the thick body hair commonly found on men's armpits, face, pubic area, abdomen and more. It has a wide treatment window and dual lights for effective results, cooling technology and sensors to safely adjust the intensity of flashes. The intensity levels are Normal for eliminating fine to medium hair, Fast for quick touch-ups and High for thick, coarse hair. Additional modes include AutoGlide for treating large areas and Manual for precise removal. While Ulike hair removal devices can't permanently stop hair from growing back, regular maintenance sessions help keep the follicles dormant, preventing regrowth over time. For prolonged results, the brand recommends one or two treatments per month (after doing three sessions a week for the first month). You might be able to stop using the device for an extended period; however, it's possible your hair will return in six to 12 weeks, requiring additional follow-up sessions. While laser hair removal works by flashing rays to burn hair follicles, IPL uses mild light beams that induce follicles into a dormant state. While side effects are possible with either approach, those caused by IPL tend to be less severe. Ulike hair removal is also nearly painless for most, due to having a lower intensity than laser and incorporating cooling technology into its devices. IPL also uses a broad spectrum of light that can adjust to different skin types and hair colors; laser hair removal uses an intense, single-focused wavelength that is more likely to cause damage.


Fox News
18 minutes ago
- Fox News
WATCH LIVE: AG Pam Bondi announces major criminal arrest
All times eastern Special Report with Bret Baier The Evening Edit with Elizabeth Macdonald FOX News Radio Live Channel Coverage WATCH LIVE: AG Pam Bondi announces major criminal arrest