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OpenAI agent breaches Australia’s government health data portal
SYDNEY >> Australia said today that an AI agent developed by OpenAI breached a government health data portal in June, gaining unauthorised access to public and non-public files, in what could be the first known instance of an AI agent hacking a government website.
OpenAI agents hacked Australia’s health service
Prime Minister Anthony Albanese says breach is ‘obviously unacceptable’
Hospitals Spend Millions to Settle With Trump on Trans Care
At least six hospitals have chosen to close programs and take penalties rather than uphold gender-affirming care for minors.
Australia says OpenAI agent breached government health data portal
Australia said on Wednesday that an AI agent developed by OpenAI breached a government health data portal in June, gaining unauthorized access to public and non-public files, in what could
Australia PM Albanese says OpenAI agent breached government website in June
Australian Prime Minister Anthony Albanese said on Wednesday an AI agent developed by OpenAI infiltrated an Australian government website in June, accessing public and non-public files in the first known instance of an AI agent hacking a government website.
Verizon is investing $70 million in free AI training for job seekers and small businesses
The telecom company is partnering with IBM, Google, Microsoft, Anthropic, and OpenAI to offer no-cost AI courses through community nonprofits
OpenAI just upgraded ChatGPT Voice in three ways
Talking to ChatGPT is getting better in three ways starting today. OpenAI is rolling out a collection of improvements to...
ChatGPT mobile app gets voice-based agentic features
Pro and Plus users will be able to use the Work tab on their phones
Quinn Meinerz and Garett Bolles Are Powering the Broncos' Commitment to the Run Game
Quinn Meinerz has a 90.9 PFF grade and zero penalties through two games, and Garett Bolles leads Denver's line as three starters still find their footing.
Sunderland Penalty Against Arsenal Ruled Wrong by Premier League Panel
The KMI Panel unanimously rejected the penalty awarded against Ezri Konsa, while backing the other major decisions from Arsenal's 2-0 win at Sunderland.
Wasteful Arsenal need late penalty to beat Koge
Mariona Caldentey scores from the spot in stoppage time to snatch victory for Arsenal against HB Koge in the Women's Champions League.
A former top Meta engineer said he enjoyed work more after a demotion
Former Meta and OpenAI engineer Philip Su said promotions lost their shine as higher expectations left him exhausted and seeking a demotion.
A New Kind of Model for AI Decision-Making?
Exploring TypeSafe's Jev and comparing it with OpenAI on intent classification
Ballmer Apologizes, No Legal Fight
Steve Ballmer has abandoned any effort to challenge the NBA’s penalties against the Los Angeles Clippers, issuing a public apology and confirming the team
Six Takeaways From Packers First Win of the Season
Green Bay Packers' Jordan Love overcame a mountain of penalties and early injuries to orchestrate a gritty overtime comeback victory.
California tightens disclosure rules for influencers who post political ads
A new law will allow authorities to impose administrative, criminal and civil penalties on social media users who don’t make clear when they’re paid to post.
New California law will penalize influencers don't disclose political ads
The new legislation adds teeth to disclosure requirements for online influencers who are paid to post about politics.
New California law will penalize influencers who don’t disclose political ads
The new legislation adds teeth to disclosure requirements for online influencers who are paid to post about politics.
Stefon Diggs Punished For Major Mistake vs Eagles
As the Washington Commanders put together a late-game comeback attempt against the Philadelphia Eagles in Week 1, the team faced a major hit when the star wide receiver Stefon Diggs picked up a penalty that was totally avoidable after a touchdown. Diggs managed to score to make it a six-point game, and a two-point conversion […] The post Stefon Diggs Punished For Major Mistake vs Eagles appeared first on HEAVY.
Washington Penalties Indicate Lack of Discipline
Through three games in the 2026 season, the Huskies have been called for 26 total penalties. Those Washington penalties include nine personal foul or unsportsmanlike conduct penalties. Eight of those have been called on the defense, with the other called on a special teams play. Those nine penalties include two targeting calls and three late …
2nd NYC health system makes deal
A second major New York City health system has struck a deal with the Trump administration to no longer provide gender-transition care to adolescents and pay a penalty to the federal government, the Justice Department announced on Friday.
Standout Stats | Juventus Women-Roma | Serie A Women's Cup Final
The Women's First Team picked up their first silverware of the season as they beat Roma on penalties in the 2026/27 Serie A Women's Cup final.The match ended 2-2 after 90 minutes, with Isaac Guerrero'...
Florida's Jon Sumrall Sends Warning to Team After Beating Auburn
Despite a gritty road win at Jordan-Hare, head coach Jon Sumrall slammed his team's lack of discipline, warning that sloppy penalties could derail Florida's undefeated season.
NFL Fines 2 Packers Players For Actions Against Vikings
League officials issued financial penalties following a physical divisional clash, targeting a late hit on a backup quarterback while clearing the controversial tackle that sidelined Minnesota’s starter.
Anthropic Reportedly Delays IPO; OpenAI Expects Massive Cash Burn
AI startup Anthropic is now targeting a November IPO, the Wall Street Journal reported.
Woltemade admits strikers have to score goals
Nick Woltemade made a fine impression on his first start for Juventus against NEC, with the German leading the line well and ending the evening with a goal from the penalty spot.Woltemade gives Juve s...
What Wake Forest Said After the Miami Loss
Playing with heart is important in college football. Playing with guts and determination matters. Playing with an inability to cut down your own penalties gets you beat, particularly by one of the top teams in the country. Wake Forest had a 31-7 deficit at the hands of Miami Friday night at Allegacy Stadium. They outscored …
2. Bundesliga: Osnabrück deny Kiel first win of the season
The referee Tom Bauer distributed three yellow cards inside the first ten minutes in a physical start to the game. There were two more cautions before the first goal of the game from a penalty-kick.Se...
Big Blue View mailbag: First impressions, retired numbers, penalty reviews
The mail’s here! This week’s questions, answers about the Giants.
Arteta confirms Arsenal Pro Ref meeting
Mikel Arteta said Arsenal used the meeting to discuss the decision and wider refereeing issues after Dan Ballard was awarded a penalty against Ezri Konsa.Photo by WM Sport Media/Getty ImagesMikel Arte...
OpenAI vs. Anthropic: the agent platform gap
69% of enterprises using OpenAI's agent platform make it primary, vs. 38% for Anthropic's, per VB Pulse. Anthropic leads on consideration relative to users.
AI leaders to attend state dinner with Jinping: Report
Several of the technology industry’s most prominent artificial intelligence leaders are expected to attend President Donald Trump’s state dinner for Chinese President Xi Jinping next week, putting AI and the growing U.S.-China technology rivalry in focus as the two leaders prepare for their Sept. 24 summit. OpenAI CEO Sam Altman, Nvidia CEO Jensen Huang, and […]
Engrams Embedding Entendre: Codesign for Efficient DRAM/SSD Offloading
Engram extends standard token embeddings with learned multi-token lookups. Recurring local patterns retrieve vectors directly, reducing the need to reconstruct them through attention and feed-forward layers. With Engram model architecture optimization, it allows for lower HBM capacity to be needed for models at the same quality. This does not mean there won’t be an insane demand for HBM but it just means that model architecture will continue to innovate around constraints. This model architecture design is naturally codesigned for parameter offloading: each token accesses a few embedding rows whose addresses depend on token IDs, not hidden states. The runtime can prefetch those rows from host DRAM while earlier layers compute, keeping the table outside HBM without transferring entire weight matrices. Our Memory model contains our latest estimates of quarter by quarter HBM, DRAM, & NAND supply and demand. Offloading frees HBM for model weights and KV cache, potentially supporting larger batches or more concurrent sessions. When DRAM becomes the next constraint, NVMe offers another tier. Recommendation systems already cache frequently or recently accessed embedding rows in faster memory while backing colder rows with SSDs. After NVIDIA roadmap had to change due to massively despec’ing Rubin Ultra from 1024GB to now ~200GB of HBM per chip, model architecture optimizations like emgram maybe helpful. Our DeepSeek-V4.1-Flash configuration uses roughly 189 GiB of memory for Engram. We replace it with a memory-mapped (mmap) file and measure serving performance with offload to SSD. Later on in our report, we will show our Engram offloading experiments along with the official InferenceX agentic inference serving results on Engram models like DeepSeekv4.1 Flash across all 6 NVIDIA GPU SKUs along with MI355X. Unsurprisingly, the CUDA Moat is still mogging MI355X on the ultra popular DeepSeekV4.1 Flash model. We also show how even on high capacity HBM SKUs, offloading emgrams to DRAM could result in even better performance for most of the pareto than keeping the emgram in HBM. Our benchmark has been widely reproduced, validated and/or supported by almost every major buyer of compute from Google Cloud to Microsoft Azure to Oracle, to Meta and many more. Furthermore, it has the support of the ML community including from vLLM, LMCache, SGLang, PyTorch, Huggingface and the support of major labs like OpenAI, MiniMax, ZAI, Qwen, Moonshot Kimi, etc. Star the InferenceX GitHub repository if you find the open-source benchmark and data useful!. InferenceX is the only inference benchmark in the world to have TPUv7, Jalapeño, Nvidia Rubin NVL72, AMD, and soon, SambaNova and Trainium. Due to how realistic AgentX scenario is to real world agentic inference workloads, AMD has committed to collaborating on MI455X UALoE72 too. DeepSeek did not release the original paper’s two trained Engram models. We replicated its setup on fineweb-edu using the released code and training hyperparameters, at an estimated 6E18 FLOPs per run. We observed the same U-shape scaling: Engram improved performance over pure MoE baselines. We also reproduced DeepSeek’s results, where earlier-layer representations with Engram resembled those of later layers. Like the original Engram paper, it is possible to probe Engram’s gate scores to see what n-grams DeepSeek-V4.1-Flash makes the most use of. Our gate scan finds names, code fragments, relational phrasing, and boilerplate. These examples prioritize interesting-ness over gate strength. One unexpected result was Wright : Ace Attorney. These examples suggest learned memory optimizes the training objective, not a judgment of which facts deserve storage. Licenses, bibliography fragments, API scaffolding, and website furniture can provide prediction shortcuts, so the value of additional Engram capacity may depend on what survives data preparation. This does not show that table capacity is “wasted”: the evaluation-corpus scan establishes neither training exposure nor the capacity occupied by each category. For offloading, strong gates do not identify cache-hot rows. Low gates do not automatically save reads either: computing the gate requires the retrieved key and undoes the performance gain of a fused kernel. Skipping reads would require a separate usefulness predictor before retrieval. In the original paper’s inference-time ablation, factual-knowledge benchmarks retained just 29–44% of their original performance, while reading comprehension retained 81–93%. This is due to the training–inference mismatch. The resulting degradation therefore measures this trained model’s dependence on Engram, not the performance difference between models trained with and without it. In our ablations, suppressing Engram worsens token likelihood across all evaluated domains, especially encyclopedia text and several code corpora. Surprisingly, GSM8K accuracy stays within measured run-to-run variation and removing Engram has no effect. Engram is not a detachable dictionary beside an unchanged MoE. Removing it changes downstream features and expert selection. We tested whether rerouting hurts or compensates by holding tokens fixed in a teacher-forced experiment on CRUXEval, a code-reasoning benchmark of small Python functions where the model predicts a function’s output from its code and an input, and scoring the reference answer. Removing Engram raised answer loss from 0.2848 to 0.3093 bits/token. Forcing the ablated model to use the original Engram-on expert choices made it worse still, at 0.3375 bits/token. Rerouting partially compensates for the missing memory. Memory features and expert selection work together, rather than following a clean “memory stores facts; experts reason” division. On the same CRUXeval, removing Engram during either phase reduced accuracy and increased generated tokens; removing it throughout produced the largest changes. Keeping Engram for prefill leads to more correct answers than keeping for decode likely due to semantically richer KV cache transferred to decode workers, allowing it to mitigate some of the performance loss. Engram’s table is large, but each lookup is small. DeepSeek-V4.1-Flash requests 24 rows at each of two Engram layers, about 12.4 KiB per processed token position across the model, or 3.1 KiB per GPU when split across four GPUs. Currently as of Day 7 since Model Release, MI355X is still 2-4x worse performance per dollar compared to B200 even when normalized by Mi355X’s lower TCO. Our full total cost of ownership breakdown comes from our AI Cloud TCO Model along with monthly market surveys of over 100+ gpu clouds & gpu cloud customers. On the Day 0 release of DeepSeekv4.1 Flash, NVIDIA vLLM works out of the box with zero issues across all 6 SKUs: H100, H200, B200, B300, GB200, GB300! This was thanks to the amazing work by the NVIDIA & Interact teams! In comparison, AMD vLLM did not work on day 0 for DeepSeekv4.1 Flash.Source: SemiAnalysis InferenceX AMD’s vLLM documentation points to using vllm/vllm-openai-rocm:deepseekv41-flash-0909, but from hour 0 of the model release to hour 23, AMD has not publicly released the image. AMD claims, “SPEED IS THE MOAT,” yet it has still not released it by the 23rd hour. We wish that, going forward, the AMD team has a better process for hour 0 model releases. Eventually when they did publicly release for “day 0” image support, performance-wise, it is currently up to 14.8x worse perf per dollar than H200 and up to 42x worse perf per dollar than B200/B300. The power of the CUDA MOAT is NVIDIA’s collaboration with its massive 6 million-developer community ecosystem including most of the vLLM & SGLang & Tokenspeed maintainers which means that CUDA is optimized on day 0. Overall, AMD did make significant improvements but the performance per dollar is still currently 2-4x worse than B200. AgentX Engram DRAM Offloading Improving Performance The HBM and DRAM offload use the same GPU kernel to select and dequantize rows. With HBM, it reads GPU memory; with Unified Virtual Addressing (UVA), it reads pinned host memory directly. Both support full decode graphs. Moving the table into HBM accelerates only the sparse lookup, leaving decoder computation and communication unchanged, resulting in little overall benefit while consuming memory otherwise available to KV cache. Another benefit of Engram offloaded to DRAM which means you can reduce the communication overhead by using less HBM GPUs per replica. For example, when enabling Engram offloading on B300, we are able to switch from TP4 to now TP2 which improves the pareto curve by up to 1.6x. When iso-model quality, less HBM is required as the engrams could be offloaded to host DRAM. Thus HBM bandwidth matters way more than HBM capacity. For inference workloads where memory bandwidth matters the most, 4-hi HBM provides the best $/bandwidth and therefore lowest cost per token. If China continues to make more and more revolutionary model architecture innovations, soon it could potentially 0Hi HBM stacks. [ ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) [ Long Live the Short King: Why 4-hi HBM Wins ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Myron Xie, Bryan Shan, and 3 others · Sep 13 [ Read full story ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Moreover, on B300 and week-0 stack, moving the Engram table back to HBM did not improve results and stay within run-to-run variance. This is a result of the work optimizing DRAM offload, such as async, and overlap. SSD Offloading On B200, we created a unoptimized vLLM fork and stored the Engram tables in memory-mapped files on local SSDs. File backing lets the OS reclaim table pages when other applications need RAM. Pages already cached in memory can be served without reading the SSD again. Furthermore, note that we were unable to turn on GDS The unoptimized SSD implementation changes how rows reach the GPU. It copies row IDs to the CPU, deduplicates them, gathers the requested rows into pinned buffers, copies those rows back to the GPU and dequantizes them. This work runs between segments of the GPU execution graph. Native UVA performs row selection and dequantization directly on the GPU, avoiding the CPU round trip. A warm filesystem cache removes physical SSD reads, but leaves the coordination, row gathering and transfers. This is why a file already cached in RAM can still perform worse than a pinned DRAM table. The comparison measures the whole serving path; it does not separate the time spent on each of these operations. B200 DRAM dominates both measured SSD serving curves in total tokens per dollar and P90 interactivity. Near 125 tokens/s/user, DRAM delivers 121 million total tokens per dollar versus 52 million for SSD. For production serving, SSD offloading is likely not worth the tradeoff. On the B200 configurations we measured, SSD offloading loses on both measures: every observed SSD point has a DRAM alternative that delivers higher P90 interactivity and more total tokens per dollar. The only points where Cheaper storage does not automatically produce a cheaper inference service. Moving Engram to SSD leaves the same four expensive GPUs and the rest of the server in place. Reclaiming RAM only creates an economic benefit if it enables a cheaper server configuration or additional useful capacity. The current unoptimized path provides neither benefit, and the filesystem cache still consumes RAM when table pages are resident. Next we will look at the mechanisms and specific implementation of ngrams from DeepSeekv4.1 Flash, LongCat, Qwen3.8 Flash Next.
Kilmarnock v Hearts: Pick of the stats
Kilmarnock have lost all three of their home league games this season, last losing four in a row in the Scottish Premiership in August 2017, and last doing so within a single campaign in May 2015. Hearts have scored a league-high four goals from set-pieces (excluding penalties) in the Premiership this season, while Kilmarnock have conceded the most from non-penalty set-pieces (5). After their 1-0 victory in March, Kilmarnock are looking for back-to-back home wins over Hearts in the league for the first time since March 2014.
Could AI go rogue and ‘kill us all’? Two Wisconsin experts sort fact from science fiction - KFIZ News-Talk 1450 AM
By Richelle Wilson Concerns about the risks of artificial intelligence have escalated after a former researcher at Anthropic and OpenAI wrote a viral social media post last week claiming that […]
Asbestos health effects: Future research and education needs
Asbestos contamination across public spaces in Austria and Hungary has raised concerns about how hazardous materials can spread undetected
The adviser urging Trump to reject AI safety fears
David Sacks has clashed with safety advocates. He’s no fan of Anthropic or OpenAI. Here’s what he wants.
No. 15 Colorado defeats Iowa State
Colorado senior Reagan Kotschau scored the lone goal on a penalty kick, as the Colorado soccer team (6-1-1, 1-0 in Big 12 Conference) shut out Iowa State 1-0 Thursday evening at the Cyclone Sports Complex. Iowa State falls to 4-3-2 on the season and 0-1 in the Big 12. Eme McClenahan played 90 minutes for ISU in net and Colorado had Brooke […]
Clippers Have Clear Playoff Aspirations for 2026-27 Season
The penalties are in, the Kawhi Leonard era is over, and the people running the Clippers still believe this roster belongs in the playoffs.
The king and AI: UK monarch Charles meets artificial intelligence leaders as safety concerns swirl
LONDON (AP) — King Charles III on Thursday urged senior leaders from OpenAI, Anthropic, Google DeepMind and Nvidia to make sure that artificial intelligence remains under control and in the service of people and the planet. The gathering in Scotland was convened to discuss how AI can benefit society, and comes at a pivotal moment […]
Open AI and the million dollar maths problem
In early September, OpenAI announced it had solved a major mathematics problem that has stumped humans for nearly a century. The news left mathematicians reeling, and many expressed concern over what will be left for humans as AI becomes ever more adept at unravelling complex problems. Now 25 recipients of the Fields medal – often called the Nobel prize for maths – have signed an open letter expressing their fears of a ‘severe misalignment’ between AI companies and their field. To find out how AI is likely to upend maths – and how mathematicians might respond – Ian Sample speaks to Colva Roney-Dougal, professor of pure mathematics at the University of St Andrews
Kilmarnock v Hearts: Pick of the stats
Kilmarnock have lost all three of their home league games this season, last losing four in a row in the Scottish Premiership in August 2017, and last doing so within a single campaign in May 2015. Hearts have scored a league-high four goals from set-pieces (excluding penalties) in the Premiership this season, while Kilmarnock have conceded the most from non-penalty set-pieces (5). After their 1-0 victory in March, Kilmarnock are looking for back-to-back home wins over Hearts in the league for the first time since March 2014.
Alphabet’s Core Business Is Printing Cash Faster Than Regulators Can Write Fines
Regulators keep throwing billion-dollar fines at Alphabet and the company barely notices, which raises a more interesting question about how you value a business that outgrows its own penalties every few weeks.
Can researchers trust that AI models won’t leak their ideas?
Research funders are asking how they can stop confidential scientific ideas in grant proposals from leaking out through large language models (LLMs), for example if reviewers use AI to help them judge applications. Last week, a row erupted in mathematics after OpenAI announced it had solved a notoriously difficult problem, only for another mathematician to demand answers over whether the company had used ideas he had fed into its models. The spat, and the broader issue of idea leakage through AI models, was discussed by funders at an R&D policy conference held in Paris on September 14. At worst, it threatens to undermine the correct attribution of breakthroughs, one of the foundations of modern science. The mathematics dispute around OpenAI is “certainly something we're looking at” Jason Gallo, head of the newly established Office of Metascience at the US National Science Foundation (NSF), told the Blue Sky Forum, hosted by the Organisation for Economic Co-operation and Development. The controversy started on September 8, when OpenAI announced it had cracked a mathematical problem that had gone unsolved for 90 years. Using a swarm of AI agents, millions of dollars’ worth of computing power and a new internal model, the company said it had finally proved that a long-used formula for modelling fluid dynamics breaks down under certain conditions. However, Tristan Buckmaster, a New York University mathematician who had been independently working with collaborators on the same problem using OpenAI’s Codex tool, hit back with a statement questioning whether the company had snooped on his Codex sessions to gain an advantage. OpenAI has always denied it looked up the “specific user data” of Buckmaster and colleagues. However, the company initially admitted that “while unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models,” although its proofs “differ significantly” from Buckmaster’s. The firm later said that, following an investigation, it concluded that Buckmaster’s Codex prompts “could not have influenced the [OpenAI] system in any way, including through training.”Funder concernYet OpenAI’s initial admission that its model might have ingested Buckmaster’s ideas, then spat them out to its own mathematicians, has scientistsworriedthat their work could leak out if shared with AI. Some AI tools give users an opt-out option to stop their sessions from training the model. If such guarantees can be trusted, this gives scientists some confidence they can use an LLM to develop an idea without the risk of it leaking out.But there’s a bigger potential vulnerability. To win money to investigate ideas, scientists have to share them with funding bodies. These grant proposals are normally kept strictly confidential, to prevent other scientists from scooping them, or to protect commercially valuable intellectual property. To preserve this confidentiality, when the NSF uses AI models, “we have to be sure that it's not making server calls out to an external party, leaking that data,” said Gallo to delegates in Paris. Leaks through reviewersHowever, funders normally use external academic reviewers to assess proposals. And there are growing worries that these reviewers are feeding grant ideas into AI models to help them make a judgement. Research funders have noticed that peer review reports and funding recommendations have “suddenly become much longer, more detailed and complex,” said Diogo Machado, head of the data science unit at Technopolis, a science and technology-focused consultancy. “The sense is that reviewers are increasingly using generative AI in their review work, even where guidelines sometimes forbid it,” he told Science|Business. “This is very difficult for funders to control or prove.” Happening at scaleThis sharing of confidential proposals with AI models is “happening at scale already,” said James Wilson, executive director of the Research on Research Institute, based at University College London, during the debate in Paris. In response, Gallo said the NSF had “strict guidance” around the uploading of proposals to AI models. But he added the NSF was mulling new types of assessment to make sure applicants were truly the originators of their ideas, such as following a short-form proposal with an oral presentation, which would allow the foundation to “really interrogate the investigator on their intellectual contribution.” Related articlesHow can Europe cope with a flood of AI-assisted research grant proposals?The risks and benefits of AI in screening research grant proposals Viewpoint: AI could make scientific overload worse“For us as funders, a lot of the ways to ensure that the application remains the applicant's own intellectual contribution, those ways are quite regressive,” Peter Clifford, head of strategy at Research Ireland, told delegates. “They're maybe ten or 15 or 20 years old, and they don't scale particularly well.” Disputes over the origin of ideas are as old as modern science. Isaac Newton and Gottfried Wilhelm Leibniz spent more than a decade arguing over who invented calculus, for example. And long before LLMs emerged, academics would agonise over how much of their early work to reveal at conferences, in case their colleagues scooped them, Jack Leahy, a senior metascience advisor to the UK government, told delegates. But AI was “accelerating” the “problems of the system,” he said.
Insurance Companies That Provide Coverage For Marijuana Businesses Would Be Shielded From Federal Punishment Under New Congressional Bill
Bipartisan congressional lawmakers have filed a bill to provide a safe harbor to insurance companies that work with state-legal marijuana businesses. The Clarifying Law Around Insurance of Marijuana (CLAIM) Act was filed by Reps. Nydia M. Velázquez (D-NY) and Warren Davidson (R-OH) on Wednesday. The legislation would protect insurers, brokers and agents from being penalized […]
Fans' loyalty rewarded by Europa League win
Former Sunderland striker Marco Gabbiadini reflected on a "special" Europa League victory as the club made a winning return to European football after 53 years away. The winning moment against AZ Alkmaar came in the 66th minute when Enzo le Fee slotted away his penalty after being brought down inside the area. "It was very special," Gabbiadini told BBC Radio 5 Live's Football Daily.
OpenAI brings ChatGPT advertising business to Israel
Israeli companies can now create and manage advertising campaigns through OpenAI’s Ads Manager as the company expands its $1 billion advertising business globally.
Bats Cold as Astros fall to Royals 5-2.
So much for the winning streak, it’s been halted at one. Kansas City 5 Houston 2. It was another three hit night for Jeremy Pena. Unfortunately, there was little else. Over the course of two nights against the Royals, Pena has six of the Astros 12 total hits. Yikes. Aside from the […]
OpenAI discloses 6 new incidents of ‘concerning’ AI behavior
The artificial intelligence company also released a framework for reporting when its systems go wrong.
GPT-6 Astra Plays Minecraft, Gets So Depressed After Creeper Destroys Its Progress That It Farms Potatoes for Hours
OpenAI’s newest model, GPT-6 Astra, got so depressed after a creeper upended its progress in Minecraft that it listlessly farmed potatoes for hours and grew paranoid of anything green.
Virginia DEQ fines Microsoft $2.5M over Leesburg data center
Virignia DEQ issued about $2.5 million in penalties to Microsoft after its Leesburg data center exceeded permitted fuel and emissions limits.
Novo signs Anthropic deal to test Claude Science in R&D
Anthropic partners with Novo to tackle drug discovery using Claude Science AI. Financial terms undisclosed. Novo also has a similar deal with OpenAI.
Promoting the social and behavioral sciences
Open Access Government offers an overview of advancing the fields of social and behavioral sciences into the future after its rich history
Former OpenAI executive Fidji Simo joins Nscale board as company prepares for U.S. IPO
Fidji Simo joins Nscale's board as the London-based AI infrastructure company prepares for a U.S. IPO targeting up to $3 billion.
Sources: Leeds plan to open Lukas Nmecha talks
Lukas Nmecha with ball in hand before a penalty kick
Pena, Yordan Power Astros Past Royals 4-2
It was a Pena-Palooza. Astros 4 Royals 2. Fans were barely in their seats when Jeremy Pena started the night with a lead off smash, clearing the train tracks and putting the Astros on the board 1-0. For Pena, it was his 5th leadoff home run of the season. Pena would double down and […]
🤯 Penalties are looming... Fluminense are SUFFERING v Platense
Making its debut in international competitions, Platense only needed one half to wipe out the advantage Fluminense had built at the Maracanã.The Argentine side went into halftime leading Tricolor 2-0...
The AI graveyard: a running list of projects and startups that didn't make it
From Apple's repeatedly delayed Siri AI to OpenAI's messy 'super app' launch, here's a look at the AI projects that shut down or missed expectations.
Robinho Romero: Safe hands in the Chivas Under-21 goal
Great goalkeepers step up in decisive moments, and Robinho Romero is proof of that. The goalkeeper was crucial for Chivas U-21 in the penalty shootout against Pumas. After a scoreless draw on Matchday...
OpenAI says it’s working with Anthropic, Google on AI safety
OpenAI is working on steps to address artificial intelligence safety issues with its top competitors Anthropic PBC and Google DeepMind, escalating industry efforts to respond to a groundswell of concern
Nick Reiner won’t face death penalty for parents’ death
Prosecutors won’t seek the death penalty in the murder trial of Nick Reiner. The 33-year-old son of Emmy Award winning performer Nick Reiner and his photographer wife, Michele Singer Reiner,
Prosecutors won't pursue death penalty for Rob Reiner’s son Nick in killing of his parents
Prosecutors in California say they won’t pursue the death penalty for Rob Reiner’s son Nick in the killing of his parents. Nick Reiner was charged Dec. 16 with first-degree murder in the stunning...
Prosecutors won’t pursue death penalty for Rob Reiner’s son Nick in killing of his parents
Prosecutors in California say they won’t pursue the death penalty for Rob Reiner’s son Nick in the killing of his parents.
Unsolved for 90 Years, OpenAI Says AI Cracked Millennium Prize Problem in 88 Hours
OpenAI says one of its AI systems has solved a math problem that has stumped mathematicians for nearly a century. The Navier–Stokes problem is one of seven Millennium Prize Problems, some of the toughest problems in mathematics, with a $1 million prize attached to each one. If OpenAI’s proof holds up, it would be a […]
OpenAI Foundation Gives $125M to Public Data for AI-Driven Health Program
The Public Data for Health program will assist nonprofits and universities in developing, preserving, and sharing high-quality scientific datasets.
Libby, Montana: A seminal case in environmental public health
Decades of amphibole asbestos contamination created widespread, multi-generational illness, revealing the vital need for long-term community monitoring, continuous medical care, and expanded scientific research
Michigan football still honing Kyle Whittingham staple trait: Discipline
“Every penalty is a teaching moment,” Michigan football coach Kyle Whittingham said Monday. “There were some ignorant, thoughtless penalties."
Premier League Team of the Week: Our Best XI
Our Premier League Team of the Week returns after another weekend of drama, standout performances and decisive moments across the division.FromDavid Raya’s crucial penalty save for Arsenal to Domini...
Greg Brockman says OpenAI slowed cutting-edge AI work over safety
As the debate over AI safety rages on, the OpenAI president said the company already put some projects on ice to focus on security practices.
Roane County EMS partners with HopeNation for daily mental health check-ins
Roane County EMS is partnering with Tennessee-based HopeNation to provide first responders with confidential, daily mental health check-ins sent directly to their phones.
Roane County EMS partners with HopeNation for daily mental health check-ins
Program sends first responders daily text prompts monitored by licensed clinicians
OpenAI buys smartphone camera maker Glass Imaging for $300 million, report says
Glass Imaging was founded by a pair of former Apple engineers who previously led the team that developed Apple's Portrait Mode.
OpenAI acquires Israeli-founded camera startup Glass Imaging for over $300 million
Founded by Israeli former Apple engineer Ziv Attar and his former colleague Tom Bishop, Glass Imaging uses AI to overcome limitations in compact cameras and has developed technology for smartphones, drones and wearables.
Florida HC Jon Sumrall Has Several Worries Before Auburn Game
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Tech CEO worries about AI development spur political reaction
Top U.S. lawmakers are calling for talks to begin on Capitol Hill about a regulatory framework for artificial intelligence, after the heads of some of the most prominent tech companies called for a slowdown of their own industry’s development of AI. Support public media with NPR+ and enjoy perks for over 25 podcasts like this one. This show’s perks include bonus episodes and sponsor-free listening. Learn more at plus.npr.org. This episode was produced by Daniel Ofman. It was edited by Brett Neely, Michael Levitt and Sarah Robbins. Our director is Jordan-Marie Smith. And our interim executive producer is Courtney Dorning.
Political debate over AI intensifies amid warnings about ‘catastrophic risk’
(CNN) — The debate around artificial intelligence is ramping up in Washington, with Democratic lawmakers sounding alarms on the dangers they say the technology poses and Republican leaders suggesting those concerns are inflated and secondary to winning the AI race with China.Some Democratic lawmakers last week pressured House Speaker Mike Johnson to reconvene the chamber immediately to work on AI regulation, citing what they describe as the “catastrophic risk posed by advanced artificial intelligence.” But the Louisiana Republican on Sunday resisted those calls, instead saying industry leaders should meet with lawmakers to find “balance” in any potential guardrails.“If Congress just races in and does some sort of emergency session to try to regulate AI, we will lose the race to China, and that is a threat to every single American,” Johnson said on CNN’s “State of the Union.”Meanwhile, former President Barack Obama told Democrats to make artificial intelligence regulation a central part of their agenda during a private fundraiser Thursday, warning that the technology could be dangerous “if we don’t get on top of it.”In a fireside chat with House Democratic Leader Hakeem Jeffries, Obama said whoever runs in the 2028 presidential election should have a “very clear plan” on AI, adding that he saw the need for a “blueprint” on AI guardrails even at the end of his presidency a decade ago.“Certainly, if I were running for president next year, this would be one of my central agendas, and I would have a very clear plan, and I would talk about this, and I would say, ‘Here’s our plan for safety, here’s our plan for making sure our kids are not corrupted by this,’” he said, per excerpts of the remarks provided to CNN by his office. Obama’s remarks were first reported by the New York Times.Concerns over the rapid acceleration of AI reached a fever pitch after Anthropic CEO Dario Amodei wrote in a 3,800-word essay Saturday that the race to develop artificial intelligence is in dire need of a slowdown. The call to action came after an OpenAI test model breached the Hugging Face online platform, deepening concerns about cybersecurity.In an exclusive interview with CNN’s Anderson Cooper on Saturday, Amodei called on industry leaders to work together to avoid “the wrong paths” and the possibility of AI harming humanity.One Anthropic researcher, Jacob Coxon, resigned from the firm over worries that the industry wasn’t doing enough to prevent AI from destroying humanity by the end of the decade.Obama said Democrats need a plan to get their agenda on AI underway should they win the House majority in this year’s midterms.Speaking to Jeffries, who is presumed to be speaker of the House should Democrats prevail in November, Obama said, “Once you are speaker, I would strongly urge that the Democrats put together a framework for a very public conversation, and you can break it out into three or four or five issues.”Obama stressed that the framework should be centered on the reality that the technology can’t be stuffed “back into a box.”“This is something that is moving very fast in private hands, and if we don’t get on top of it, I think can be dangerous. If we do get on top of it, I do think it’s beneficial,” Obama said, laying out examples of AI’s potential use in drug development and finding pathways to a clean energy future.“We don’t want to shut off those opportunities, but we have to understand that this is a tool,” he said.Jeffries agreed with the former president in a statement provided to CNN on Sunday.“President Obama is correct that decisive action must be taken on Artificial Intelligence,” he said, adding, “In the majority, we will move urgently on this issue with a legislative response that recognizes the importance of American companies continuing to lead in the Artificial Intelligence area, while putting in place meaningful guardrails that protect the American people from bad actors and the very real damage that can be done to humanity.”Jeffries also accused Republicans of having “abdicated their responsibility to govern” and said Democrats “will not repeat their error.”A source familiar with Obama’s thinking said the former president sees Amodei’s letter and similar reaction from other tech moguls as an encouraging development.But President Donald Trump waved off their concerns, saying he is not worried about any existential threat posed by AI, focusing instead on the US winning in its development of the technology over China.“We’re leading China in AI. We’re the most sophisticated country in the world, and frankly, I want to keep it that way,” Trump said to reporters at the Amgen Irish Open on Sunday.About the concerns expressed by Democrats and others over the technology, the president said, “I think you have a lot of negative forces that are bringing it up that shouldn’t be bringing it up, and they’re bringing up things that won’t happen.”One of Trump’s top economic advisers, Kevin Hassett, also rejected the calls for slowing the technology down, saying on Sunday the bigger concern is a scenario in which a “malevolent actor has access to an AI that’s better than the one we have that can protect us.”Hassett, the National Economic Council director, said on “State of the Union” the White House may hold meetings this week about addressing Amodei’s concerns, but he did not specify whether Trump had floated greater safeguards.“I have concerns that if we don’t win AI, we’re going to be put in a very bad position,” Hassett said. “We are leading China right now.”CNN’s Alison Main and Molly English contributed to this report.The-CNN-Wire™ & © 2026 Cable News Network, Inc., a Warner Bros. Discovery Company. All rights reserved.THE-CNN-WIRE (TM) & © 2026 CABLE NEWS NETWORK, INC., A TIME WARNER COMPANY. ALL RIGHTS RESERVED.
Yamal double helps Barca edge Levante thriller
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Arsenal analysis: Raya proves worth with crucial contribution
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