For nearly five decades, @GMA has been a cultural touchstone, shaping how millions start their day with a trusted blend of news, lifestyle & entertainment. Dive into its enduring legacy!

Meet the hidden performers who played 'bushes' in Bad Bunny's Super Bowl Halftime Show! They endured heavy costumes & secret rehearsals for an unforgettable, grueling experience.

Beloved actress Catherine O'Hara's death certificate confirms her passing was caused by a pulmonary embolism.

Push to restart uranium mining in Patagonia has sparked fears about the environmental impact and loss of sovereignty over key resourcesOn an outcrop above the Chubut River, one of the few to cut across the arid Patagonian steppe of southern Argentina, Sergio Pichiñán points across a wide swath of scrubland to colourful rock formations on a distant hillside.“That’s where they dug for uranium before, and when the miners left, they left the mountain destroyed, the houses abandoned, and nobody ever studied the water,” he says, citing suspicions arising from cases of cancer and skin diseases in his community. “If they want to open this back up, we’re all pretty worried around here.” Continue reading...

The best way to understand technology isn’t just by reading documentation — it’s by getting your hands dirty.But let’s be honest: setting up a personal sandbox for cloud experimentation can be intimidating, especially when you’re worried about accidental costs or complex configurations.That’s why I’m so excited to share a “pro-tip” that many professionals overlook: Google Cloud Skills Boost/Google Skills.The Hidden Gem: 35 Free Credits Every Month (Google Skills free tier)Before we dive into the lab, here is the real kicker. Did you know that the Google Skills free tier provides 35 free credits every single month?In a world where everything seems to be moving to a subscription model, having a recurring pool of credits to run actual hands-on labs at no cost is a massive advantage for anyone looking to up skill. Here is how the credit math works:Introductory Labs: 1 credit (You could do 35 of these!)Intermediate Labs: 5 credits (Perfect for a deep dive)Today, I want to highlight a landmark new lab that is a total game-changer for database modernization.The Spotlight: Migrate from Cloud SQL for SQL Server to AlloyDB using DMSIf you’ve ever dealt with “database lock-in,” you know the pain of moving from proprietary T-SQL (SQL Server) to an open-source compatible engine like PostgreSQL. Historically, this meant weeks of manual code rewriting and schema mapping.This Intermediate Migrate from Cloud SQL for SQL Server to AlloyDB for PostgreSQL using Database Migration Service Lab shows you how to do it in hours, not weeks.Why this lab is different:It moves beyond simple data moving. In this lab, you’ll actually:Execute a SQL Server to PostgreSQL Migration: Move a live database from Cloud SQL for SQL Server to AlloyDB for PostgreSQL.AI-Assisted Conversion: Use the DMS Conversion Workspace powered by Gemini to automatically fix incompatible code and explain the changes.Achieve Minimal-Downtime: Run a continuous migration job that keeps the source and destination in sync until the final cutover.Why it MattersModernizing legacy stacks is one of the highest-value activities a team can undertake, but the risk of downtime or “lost in translation” code often holds us back.Understanding how Database Migration Service (DMS) uses AI to remediate schema issues is a superpower. It allows building more aggressive modernization roadmaps and helps bypass the “legacy toolchain” headache.The best part? Since this is an intermediate lab, it costs only 5 credits. With your 35 monthly free credits, you can master the AI-driven database migration and still have 30 credits left to explore other parts of the Google Cloud ecosystem.Ready to boost your skills?Stop reading and start building. Use your monthly credit refresh to tackle this milestone lab today. It’s self-paced, hands-on, and — if you play your cards right — completely free.Check out the Lab here!What other databases are you looking to migrate? Let me know in the comments!The Hidden Google Cloud Advantage: Master Database Migration for Free was originally published in Google Cloud - Community on Medium, where people are continuing the conversation by highlighting and responding to this story.

Canadian provinces removed American liquor from store shelves earlier this year.Jennifer Gauthier/REUTERSMost Canadian provinces pulled US booze off their shelves in March to protest Trump's tariffs.Now, some are selling their stockpiles to raise money for food banks and charities ahead of the holidays.Manitoba, Nova Scotia, Prince Edward Island, and Newfoundland are four such provinces.Canada is coming up with ways to put its stockpiled American liquor to good use.Several provinces in the country halted imports of US booze and removed it from store shelves in March in response to President Donald Trump's tariffs.Now, at least four provinces are planning to sell the remaining inventory and donate proceeds to food banks.Canada's far eastern province, Prince Edward Island, told Business Insider that its government will put its stock of American booze, which it had pulled off the shelves, back in stores starting on December 11.A representative for the province's finance department said the government anticipates profits of $600,000 Canadian dollars, or about $434,000, from the sale. The proceeds will be distributed to food banks across the island. The province says it does not intend to place any further orders for American alcohol.The finance office of Newfoundland and Labrador told Business Insider it had made an upfront payment of $500,000 on Tuesday to 60 provincial food banks before the sales of any liquors, a move that will help more than 15,400 people. After the liquor is sold, more donations will go to the food banks for a total sum of up to $1 million.Manitoba and Nova Scotia have similar plans.Manitoba said it will sell its inventory through private retailers and restaurants, with the estimated $500,000 in net revenue going to food banks, holiday charities, children's organizations, and an advocacy group for First Nations.As for Nova Scotia, the province is making a $4 million upfront payment to groups that provide food access, and the money will be recouped when the $14 million worth of liquor is eventually sold."We will not be ordering any more from the United States once this inventory is gone," the province's premier, Tim Houston, said in a statement. "But Nova Scotians have already paid for this product."He added, "We don't want it to go to waste. That's why we're selling it and using the proceeds to help those in need."In Canada, the sale of alcohol is mainly controlled by provincial governments, each of which establishes a board to oversee the matter. Only Alberta has a completely privatized alcohol retail system, while Saskatchewan has a partially privatized system.Canada mainly imports whiskey and bourbon, alongside beer and other spirits, from the US.Other provinces have different plansThe provinces are not taking a one-size-fits-all approach to dealing with their stockpiles of American booze. Some are still undecided about what to do, while others have already sold off their inventory earlier in the year after ceasing imports.A spokesperson for Ontario's finance ministry told Business Insider that the province had no plans to put the booze on store shelves soon."US alcohol will remain off shelves and is being held in storage until further notice," said the spokesperson. "We are currently exploring options for the products."Ontario did not disclose how much inventory it still has, but the province said the inventory it had pulled off the shelves in March was worth around C$80 million.A government representative from the Northwest Territories and a spokesperson of the British Columbia Liquor Distribution Branch both told Business Insider that they ceased US liquor imports in March, but will continue selling the stockpiled products until they are depleted.A Yukon government cabinet representative said Yukon has the same plan.However, the mountainous province of Alberta continues to import and sell American booze."In June this year, Alberta lifted restrictions on the purchase of US alcohol from American companies, signalling a renewed commitment to open and fair trade with our largest partner," a spokesperson of Service Alberta and Red Tape Reduction told Business Insider.American distillers are hurtingThe matter of US booze has been fueling the trade tension between the two neighbors.The animosity started when Trump imposed a 25% tariff on Canada in March and commented that Canada should become a state of the US.Despite later walking back some of his broader tariffs and upholding a previous agreement that ensured most goods remain tariff-free, Trump's moves have drawn the ire of Canadians, who have canceled travel plans and boycotted American goods in stores.According to the Distilled Spirits Council, US spirits exports to Canada plummeted 85% in the second quarter of 2025, falling below $10 million in export value."We hope both the US and Canada can address their respective concerns," said Chris Swonger, the CEO of the council. "And that our products can return to Canadian retail shelves as soon as possible."In March, Kentucky's bourbon makers said Canada's ban on American alcohol would hurt them.Eric Gregory, the president of the Kentucky Distillers' Association, said in March that retaliatory tariffs would have "far-reaching consequences across Kentucky, home to 95% of the world's bourbon."Read the original article on Business Insider

LeBron James will remember his 41st birthday for all the wrong reasons after the Lakers turn over the ball 21 times in a dismal, 128-106 loss to the Pistons.

Although San Antonio and superstar Victor Wembanyama are on the rise in the NBA’s Western Conference, the team faces an uphill battle against powerhouse, like the Oklahoma City Thunder, L.A. Lakers, Denver Nuggets and others. However, the Grizzlies are on the decline with superstar player Ja Morant uninterested with his role on the team with […]

NBA Odds: How to Bet on Tip Off On Opening Night of the NBA Season, Thunder vs Rockets, Warriors vs Lakers.

Authors, a newsreader, a lawyer and an esteemed colleague: they’re all great – but I’m not married to any of them. Can we really depend on this technology?Recently, the Rowsons accidentally invented a new game that anyone can play at home. I have yet to come up with a world-beating name for it, so for now let’s just call it “How bloody stupid is AI?” The playing of the game will change from player to player, depending on their circumstances – but essentially the rules remain the same. Ask AI a simple question about yourself, and see just how wrong it gets it.In my case, all you need know is that while I, through the nature of my job, have a fairly large online presence, my partner (we married in 1987) has assiduously avoided having one at all. Which means that if you Google “Martin Rowson wife” in images, you may get a picture of me next to our then 14-year-old daughter or me with my friend and fellow cartoonist Steven Appleby, who happens to be trans but has kept her given first name. Continue reading...

Rep. Jamie Raskin slams the DOJ, alleging a 'cover-up' after reviewing Epstein files. He claims 'mysterious redactions' protected abusers while exposing victims, demanding answers.

Rep. Ro Khanna announced he and Rep. Thomas Massie are 'intervening' with the SDNY on the release of the Epstein files.

Disgraced financier Jeffrey Epstein reportedly paid retail billionaire Les Wexner a staggering $100 million after Wexner accused him of theft. The massive sum sheds new light on their entangled financial history.

The Billionaire Without a Business Jeffrey Epstein had two private islands, a townhouse the size of a small airport, and a collection of jets that made even Elon Musk look thrifty. At the time of his death in 2019, his estate was worth nearly $600 million. But here’s the catch: no one has ever been able to clearly explain how he made that kind of money. He wasn’t a hedge fund titan. He wasn’t a tech founder. He wasn’t a licensed tax attorney or CPA. He was, at best, a self-styled “financier” with an uncanny ability to insert himself into rooms full of billionaires, royals, politicians, and celebrities. Last week, newly unearthed emails and spreadsheets gave us a rare peek into Epstein’s “business model.” Spoiler: it looked a lot less like Wall Street strategy and a lot more like a social climbing Ponzi scheme with a Black Amex. source idcrawl.com The Mandelson Mess The revelations have already claimed political collateral. Peter Mandelson, the UK’s former ambassador to the U.S. and a high-ranking Labour figure, was exposed for greasing a $1 billion banking deal Epstein’s way. In the same breath, Mandelson expressed sympathy for Epstein’s 2008 conviction for procuring an underage girl. Yes, you read that right. The emails made it clear: Epstein’s power was never just in his money—it was in the people willing to excuse it. As one acquaintance told The Guardian, “Jeffrey was a starf****r. Anyone he thought had influence he would try to add to his collection.” The Spreadsheet of Secrets Bloomberg and other outlets got hold of a spreadsheet that read like a Santa Claus ledger for the ultra-rich and politically powerful. Nearly 2,000 luxury items, payments, and gifts worth $1.8 million. One entry raised eyebrows: a $35,000 Audemars Piguet watch labeled “DB.” The same day, Epstein and Ghislaine Maxwell allegedly discussed gifting Bill Clinton aide Doug Band that very watch. Band denies ever receiving it—but the timing is uncanny. These weren’t just gifts. They were calculated investments in influence. The spreadsheet makes clear: access and lavishness were Epstein’s currency of choice. The Billionaire Backers Still, Epstein’s fortune didn’t materialize out of thin air. Two names keep popping up: Les Wexner, the Victoria’s Secret founder, and Leon Black, co-founder of Apollo Global Management. Between 1999 and 2018, financial records suggest Epstein earned nearly $490 million in “fees” from Wexner and Black. That’s three-quarters of his total fee income during that period. Add to the mix Johnson & Johnson heiress Elizabeth “Libet” Johnson, and you start to see the pattern: Epstein wasn’t managing portfolios. He was managing egos—and very wealthy ones at that. The Maxwell Connection According to former partner Steven Hoffenberg, Epstein’s lifestyle shift from a two-bedroom Upper East Side apartment to a 28,000-square-foot mansion coincided with his relationship with Ghislaine Maxwell. Her father, Robert Maxwell—the disgraced press baron—allegedly introduced Epstein into the rarefied air of European wealth. Financial documents later showed a web of offshore companies tied to the Maxwell family, hinting that money laundering may have been part of Epstein’s early rocket fuel. Banking on JPMorgan Chase Even after his 2008 conviction, Epstein managed to keep his banking ties pristine. JPMorgan Chase maintained more than $200 million in his accounts and continued treating him like a VIP client. Why? Because he was a rainmaker. He introduced executives to Google co-founder Sergey Brin, Israeli Prime Minister Benjamin Netanyahu, Bill Gates, Elon Musk, and more. For JPMorgan’s private wealth division, Epstein was less of a client and more of a walking networking app. The bank now calls its Epstein ties “a mistake.” A very profitable mistake, one that included Epstein pocketing a $15 million fee for brokering a hedge fund deal. Jes Staley: The Banker Who Couldn’t Quit Him Jes Staley, later CEO of Barclays, was one of Epstein’s closest allies in the banking world. UK regulators now say Staley misled them about the true extent of his Epstein connections. For Epstein, Staley was more than a banker—he was a conduit to the kind of financial respectability that allowed him to keep hosting dinner parties while sitting on a sex crime conviction. The Conspiracy Question For years, conspiracy theories have swirled: was Epstein running a blackmail operation, ensnaring the rich and powerful with “honeytrap” models supplied through connections like Jean-Luc Brunel of MC2 Model Management? So far, no smoking gun. But Epstein’s “gifts” ledger, coupled with his uncanny ability to rebound from scandal, leaves plenty of room for speculation. The Zombie Billionaire Epstein is dead, but his financial ghost lingers. Every new email dump, every spreadsheet, every redacted bank record drags his name—and the names of his powerful friends—back into the headlines. One acquaintance put it bluntly: “He operated a circle with many points of entry. Now he’s like a wrecking ball rolling across countries.” For the elite who once toasted glasses at his townhouse dinners, Epstein’s wealth was both a magnet and a shield. Now it’s a ticking time bomb that could detonate reputations for years to come. Closing Thought The most chilling part isn’t how Epstein made his money—it’s how easily money allowed him to move through the highest levels of politics, business, and celebrity culture, even after being branded a sex offender. Epstein’s fortune may never be fully traced, but his influence? That’s crystal clear. And Hollywood, Wall Street, and Washington are still bracing for the sequel. Sources https://www.theguardian.com/us-news/article/2025/sep/01/jeffrey-epstein-emails-wealth https://www.bloomberg.com/news/articles/2025-08-31/epstein-gifts-spreadsheet-emails https://www.nytimes.com/2023/09/20/business/jeffrey-epstein-leon-black-wexner.html https://www.miamiherald.com/news/local/article258517458.html https://www.forbes.com/sites/michaeldelcastillo/2023/06/15/epstein-clients-leon-black-les-wexner The post Jeffrey Epstein’s Fortune: How a Mystery Banker Bought Influence in High Places appeared first on celebrity onlines.

Ghislaine Maxwell refused to answer questions about Epstein's crimes, stating she'd testify only for clemency. Meanwhile, lawmakers are alarmed by redacted names in newly released Epstein files, sparking cover-up concerns.

`How I "Vibe Coded" an asyncio-first trading engine that bridges the gap between technical indicators and human-scale market context. In the world of algorithmic trading, we've been stuck in a loop. We rely on RSI, MACD, and Bollinger Bands—mathematical formulas designed for an era before high-frequency sentiment and global AI reasoning. While these indicators are foundational, they are blind to context. A human trader doesn't just buy because an RSI hits 30. They look at the shape of the wedge, they read the fear in the headlines, and they interpret the "vibe" of the order book. I wanted to build a bot that doesn't just calculate—it reasons. Meet LLM_Trader v2: An autonomous, vision-capable trading engine that turns market data, news, and chart context into structured BUY/SELL/HOLD/UPDATE decision. LLM_Trader v2 in action. 🏗️ The Architecture: A "Brain" for the Markets Most AI bots fail because they simply dump raw numbers into a prompt. LLM_Trader v2 uses a sophisticated multi-stage pipeline designed for confluence: The Muscles (Market Data): Using ccxt, the bot aggregates data from 5+ major exchanges (Binance, KuCoin, Gate.io, MEXC, Hyperliquid). But it doesn't stop at price—it analyzes: Technical Indicators: (Custom engine, built from scratch without pandas-ta). Order book depth & spread analysis. Trade flow (Buy/Sell ratio, trade velocity). Funding rates for perpetual futures. OHLCV across 7 timeframes: 4H, 12H, 24H, 3D, 7D, 30D, 365D. The Eyes (Vision Engine): The bot renders a ~150 candlestick chart using Plotly, optimized for AI pattern recognition. This image is sent directly to Vision models (Gemini Flash) for visual pattern analysis—because sometimes, a chart pattern is worth a thousand RSI readings. The Ears (RAG Engine): Real-time news via CryptoCompare, processed with wtpsplit for neural sentence segmentation. The bot extracts key facts and numbers, filtering noise to give the LLM a "ground truth" of current events—not just headlines, but data-rich sentences. The Brain (Model Manager): All this context—textual data, visual charts, news snippets, and market metrics—is orchestrated by a model manager that toggles between Google Gemini, Claude (via OpenRouter), or local models via LM Studio. 🧠 From "Chat" to "Execution": The PositionExtractor (New Feature in v2) The magic isn't just in the prompt—it's in the parsing. I built a robust PositionExtractor that doesn't just "guess" what the AI wants. It uses standardized REGEX patterns to consistently extract: Action: BUY / SELL / HOLD / CLOSE Confidence: HIGH / MEDIUM / LOW (mapped to position sizing) Rationale: A structured explanation that is logged for future "Trading Brain" learning. 📊 What the AI Actually Sees (Real Example) Here's a glimpse of what gets sent to the AI for a single analysis cycle: `yaml TRADING CONTEXT: Symbol: BTC/USDC Current Price: $87,499 Fear & Greed Index: 24 (Extreme Fear) - 7 day history MARKET OVERVIEW: Total Market Cap: $3.88T | BTC Dominance: 56.52% Order Book Imbalance: +0.180 (Moderate Buy Pressure) Buy/Sell Ratio: 0.16 (Strong Selling) TECHNICAL ANALYSIS (4h): RSI: 46.65 | MACD Histogram: +112.46 ADX: 12.86 | Stochastic: 60.02/73.78 Death Cross Active (20 SMA < 50 SMA) TTM Squeeze: Extreme Low Volatility Volume Spike: 2.55x average WEEKLY MACRO (200W SMA): Trend: Bullish (100% confidence) Cycle Phase: Early Bull Market Distance from 200W SMA: +46.2% DETECTED PATTERNS: MACD bull cross 9 bars ago Stochastic bull cross in oversold (12 bars ago) MACD Bullish Divergence (64 bars ago) Volume spike 2.55x average (NOW) NEWS CONTEXT: "Bitcoin Soars Past $89,000 Milestone..." "Crypto Shorts Liquidated: $64M Wiped Out..." ` The AI synthesizes all of this—plus a chart image and its previous analysis—into a structured JSON decision with confluence scoring. 🧠 Multi-Model Intelligence & Local Privacy One of the biggest upgrades in v2 is Provider Resilience. If Google's API is down, the bot automatically falls back to OpenRouter. If you want 100% privacy, it connects to LM Studio, allowing you to run the entire reasoning layer on your own hardware. Currently supported models: Any model with Google API (Flash, Pro, 2.5, 3.0) Any model (preferred vision models) via OpenRouter Any local model via LM Studio 🧬 Persistent Learning: The Trading Brain Here's where it gets interesting. LLM_Trader v2 doesn't just trade—it learns. After every closed trade, the bot analyzes its performance and distills lessons into a persistent TradingBrain: Confidence Calibration: Tracks win rates by confidence level. If "HIGH confidence" trades have a 0% win rate, the AI sees this and adjusts. Distilled Insights: Stores lessons like "SL too tight (1.4%) caused early exit. Consider 1.5–2% minimum in Sideways + Weak Trend + Low Vol." Factor Performance: Tracks which confluence factors (volume support, trend alignment) correlate with wins. Time Decay: Recent insights weighted higher (0.95 per week), so the bot adapts to changing regimes. This feedback loop means the bot genuinely improves over time. 📡 Discord Integration (Already Live) Real-time signals delivered straight to your Discord server: Trade notifications (BUY/SELL/CLOSE with reasoning) Position status updates Message tracking for cleanup Configurable via config.ini ⚙️ The Tech Stack Built with an "Asyncio-First" approach in Python 3.13: Language: Python 3.13 (asyncio-first) Data Aggregation: ccxt (5+ exchanges) Charting: Plotly + Kaleido Technical Indicators: Custom engine with numpy, pandas, numba, scipy NLP/Segmentation: wtpsplit (backed by torch) Market Data: CoinGecko API (global metrics, dominance, DeFi) Sentiment: Fear & Greed Index (7-day history) (alternative.me) Persistence: JSON-based Trading Brain Notifications: Discord.py 🚀 Get Started (Open Source & Beta) The project is in BETA and configured for Paper Trading. Watch the bot make decisions without risking a dollar. Clone & Install bash git clone https://github.com/qrak/LLM_trader.git cd LLM_trader python -m venv .venv source .venv/bin/activate # or .venv\Scripts\Activate.ps1 pip install -r requirements.txt Configure Your Keys Copy keys.env.example to keys.env and add your API keys (Google AI, OpenRouter, CryptoCompare, CoinGecko). Customize Your Strategy (config.ini) The bot is fully configurable via config/config.ini. You can switch AI providers, change timeframes, or enable/disable Discord integration without touching the code. `ini [ai_providers] Options: "local", "googleai", "openrouter", "all" provider = googleai Base URL for local LM Studio instance lm_studio_base_url = http://localhost:1234/v1 lm_studio_model = local-model OpenRouter openrouter_base_url = https://openrouter.ai/api/v1 openrouter_base_model = google/gemini-2.0-flash-exp:free Google AI Studio google_studio_model = gemini-3-flash-preview [general] crypto_pair = BTC/USDC timeframe = 4h candle_limit = 999 ai_chart_candle_limit = 150 discord_bot = false ` Launch the Engine bash python start.py 💬 Join the Community Trading is better with friends (and more AI). GitHub: github.com/qrak/LLM_trader Discord: Join our Development Chat Disclaimer: This software is for educational purposes. Crypto trading involves high risk. Always paper trade first. `

COLLEGE STATION, TX - DECEMBER 20: Wide receiver KC Concepcion #7 of the Texas A&M Aggies slides for a catch that was later overturned on replay during the CFP First Round game between Miami Hurricanes and Texas A&M Aggies on December 20, 2025, at Kyle Field in College Station, TX. (Photo by David Buono/Icon Sportswire via Getty Images) | Icon Sportswire via Getty Images It wasn’t that long ago that the San Francisco 49ers seemed to have a plan for the future at wide receiver. They drafted Ricky Pearsall in the first round of the 2024 NFL Draft, and he was expected to take a bigger role as a second-year pro after working behind Brandon Aiyuk, Deebo Samuel, and Jauan Jennings as a rookie.The 49ers were expected to move off Samuel after the 2024 season, having engaged in trade talks about him a few times, and ultimately did trade him to the Washington Commanders. That set up a trio of Pearsall, Aiyuk, and Jennings for the 2025 season, with younger receivers potentially taking over for the latter afterwards.But Aiyuk’s return from a torn ACL and MCL during the 2024 season never came, and he now isn’t expected to play another game for the 49ers after his relationship with the organization soured and his guarantees were voided last offseason.Now, heading into the offseason, the 49ers have quite a few questions to answer at wide receiver. Jennings is a pending free agent and should see interest on the open market with a likely pay bump. Pearsall’s first two years have been hampered by injuries, as he’s only played 20 games since being drafted. And there was a lot of rotating in the position group in 2025, with guys like Kendrick Bourne and Demarcus Robinson seeing key roles for much of the season.The 49ers should have money to spend in free agency, and a field-stretcher could be a priority, given the lack of speed San Francisco had at the position in 2025. Pending free agents like Alec Pierce and Rashid Shaheed could fit that role, assuming they don’t return to their current teams.But the draft is also a place for the 49ers to improve and find a talented, cost-controlled option. Could that even come in the first round at No. 27 overall? NFL.com’s Cynthia Frelund believes so, mocking Texas A&M star wideout KC Concepcion to the 49ers in the first round.“Concepcion’s ability to create space and earn YAC should fit well within Kyle Shanahan’s offense,” Frelund wrote.Concepcion had 61 catches for 919 yards and nine touchdowns for the Aggies in 2025, averaging over 15 yards per catch, earning him All-American status.Here’s what NFL.com’s Lance Zierlein wrote about Concepcion, comparing him to former Seattle Seahawks star wideout Doug Baldwin.“Concepcion offers immediate burst and separation into space,” Zierlein said. “He’s elusive in beating press and getting into breaks with minimum damage from handsy coverage. While he has a one-speed approach, he can snap off routes with alarming suddenness, making him extremely difficult to match at leveraged break points. “He’s instinctive against zone. He’s also a nightmare for man coverage on choice routes and near the goal line. He’s quicker than fast, with more value on utility throws utilizing run after catch. Concepcion’s ability to quickly uncover should be very appealing to teams with spotty protection and a young quarterback.”At 5’11, 190 pounds, Concepcion could be utilized in the slot and on the outside, and his ability to separate could be a big boost for Kyle Shanahan’s offense. The 49ers lacked separators in 2025, and it really showed in their losses down the stretch.There are a few holes to address this offseason, but wide receiver could very well be in the cards at No. 27 in the 2026 NFL Draft. And Concepcion is an option there.

The IRS has released guidance to help taxpayers understand how the One Big Beautiful Bill Act will impact existing Employee Retention Credit (ERC) claims and refunds.

Analysts and investors voice caution about tech valuations and Trump’s influence on the US central bankInvestors expect global stock markets to keep rising in 2026, despite fears that the AI bubble could burst, and anxiety about chaos engulfing the US central bank.Wall Street strategists broadly expect the S&P 500 share index of US-listed companies to continue to rise over the next 12 months, but said it could be a volatile year if geopolitical tensions increase and inflation fails to fall. Continue reading...

Despite Steph Curry's absence, the Golden State Warriors' relentless ball movement and 3-point shooting demand disciplined defense from the fatigued Memphis Grizzlies.

🚨 CHAOS on the court! 🚨 Four players ejected after a massive brawl overshadowed the Pistons' upset win over the red-hot Hornets, snapping their 9-game streak!

LeBron's Lakers, on a 3-game win streak, clash with the 1st-place Thunder tonight at 9 PM PT. OKC is without SGA, but Jalen Williams returns for a crucial battle.

In a surprising turn, former President Trump and NYC Mayor Mamdani, political opposites, agree on reforming New York City's zoning laws. They're keen to streamline burdensome rules like ULURP to boost housing construction.