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New Delhi [India], December 22 (ANI): As part of its budget demands, the Confederation of Indian Industry (CII) has proposed reforms in India's Priority Sector Lending (PSL) framework and has asked for more Development Finance Institutions (DFI), the industry body stated on Sunday. The Priority Sector Lending (PSL) is a vital policy tool in India, aimed at ensuring that key sectors crucial to the nation's development receive adequate financial support. Also Read | Rozgar Mela: PM Narendra Modi To Distribute Over 71,000 Appointment Letters to Recruits in Government Departments. Mandated by the Reserve Bank of India (RBI), PSL obligates banks to allocate a specified proportion of their loans to sectors such as agriculture, education, housing, and small industries. The framework ensures equitable credit distribution, contributing to the socio-economic growth of underserved areas. Despite its massive success, the PSL framework requires regular recalibration to remain relevant. This recalibration is essential to ensure that the financial resources are optimally distributed, in harmony with our vision of Viksit Bharat 2047, CII said in its release. Also Read | AIBE 19 Answer Key 2024 To Be Released Soon At allindiabarexamination.com, Know Steps to Download. For instance, while agriculture contributes 14 percent of the GDP today, its PSL allocation remains at 18 per cent, unchanged from when its GDP share exceeded 30 percent. Similarly, sectors like infrastructure and innovative manufacturing lack adequate PSL focus despite their potential to drive economic growth, CII has pointed out. India's economy has evolved rapidly over the past few decades, with employment focus shifting to newer sectors because of increased education levels in the society and higher disposable incomes. In view of above, Chandrajit Banerjee said, "Sectors like agriculture have reduced contribution to GDP from 30 per cent in 1990s to about 14 per cent now. Hence, it is time that Priority Sector Lending (PSL) framework be reviewed every 3-4 years to align based on emerging priorities and PSL allocations should be in line with GDP contributions and sectoral growth potential. For instance, we could look at inclusion of Emerging and High-Impact Sectors, including digital infrastructure, green initiatives, healthcare, and innovative manufacturing." CII has recommended expanding the scope of Priority Sector Lending (PSL) to include key sectors such as green initiatives, digital infrastructure, and healthcare. This includes funding for green energy projects, electric vehicles, and climate-resilient agriculture to support environmental sustainability. The industry body has advocated for prioritising investments in digital technologies like artificial intelligence to boost technological growth. Additionally, it has asked for allocating funds towards healthcare innovation to enhance the sector's capabilities and ensure better access to healthcare solutions. CII has further pointed out that besides the above sectors, Infrastructure and manufacturing are poised to make substantial contributions to India's economic growth. The current Development Finance Institutions like SIDBI and NABFID have their roles cut out as they have earmarked sectors to finance. Therefore, CII has suggested setting up of a high level committee to look at the revision of Priority Sector Lending norms and also explore the need for any new DFIs to cater to some of the new and emerging sectors. The CII recommendation is that of transition to Outcome-Based Metrics, where the focus needs to shift from absolute lending targets to measurable developmental outcomes, ensuring impact-driven credit distribution. (ANI) (This is an unedited and auto-generated story from Syndicated News feed, LatestLY Staff may not have modified or edited the content body)
Chinese smartphone makers have the habit of creating sub-brands for different areas of the market. This was quite a trend back in 2019 with the rise of multiple sub-brands. Realme, for example, was born as a lineup from Oppo but quickly evolved to become a sub-brand. With the success of Realme, we saw Xiaomi kicking Redmi out of its wings for a separate venture in the mid-range and cost-effective flagship market. Vivo later brought iQOO as its subsidiary which has a great focus on raw power and hardware. Now, it seems that the latter is aiming to introduce a new sub-brand. Vivo Y-series and V-series to become Jovi in some regions According to the report, Vivo’s new sub-brand will be Jovi. The name will sound familiar to Vivo fans because the company has been using the name for its and some system apps. Now, it seems that Jovi is ready to become a smartphone brand. The information was acquired by Smartprix after digging into the records of the GSMA database. These show three upcoming Vivo smartphones using the Jovi brand. There will be a Jovi V50 with model number V2427, and Jovi V50 Lite 5G with module number V2440. Another device is the Jovi Y39 5G with the model number V2444. apparently, we will see Vivo reusing the usual V and Y found on some of its own smartphones. One intriguing fact might suggest that the brand has big plans for the Jovi smartphones. After all, the Jovi V50 and the Vivo V50 share the same model number. The same happens with the Jovi V50 Lite 5G and the Vivo V50 Lite 5G. Jovi will start with simple rebrands of existing Vivo smartphones. Some brands like Xiaomi’s POCO have adopted a similar strategy. Redmi launches its K-series flagships only in China, then POCO rebrands them under its F and X series. While the deployment of Vivo’s new sub-brand seems to be imminent, nothing is official before Vivo’s confirmation. GSMA database is reliable, but Vivo can still change its mind before an official announcement. For now, we will need to wait. Interestingly, there were Will the new brand come with new software skin for Android that replaces FuntouchOS? Time will tell.Finland boards oil tanker suspected of causing internet, power cable outages
Colts quarterback Anthony Richardson officially remained out of practice Thursday. He has back and foot injuries that have kept him sidelined this week. The Colts, though, are optimistic about Richardson’s chances of playing Sunday, Stephen Holder of ESPN reports. Richardson missed two starts in October with an oblique injury and was benched for two others in November. He has started the past five games. Joe Flacco started the four games Richardson missed this season. Tight end Mo Alie-Cox (toe) and linebacker E.J. Speed (knee) also missed practice again, but linebacker Jaylon Carlies (shoulder) returned to limited work after being estimated as a non-participant Wednesday. Offensive guard Quenton Nelson (ankle) was downgraded to limited after being estimated as a full participant Wednesday. Wide receiver Alec Pierce (concussion) was listed as a full participant for the second consecutive day, as was cornerback Jaylon Jones (throat). Cornerback JuJu Brents (knee) fully participated for the second consecutive practice as he works his way back from injured reserve.
Trump is named Time's Person of the Year and rings the New York Stock Exchange's opening bell NEW YORK (AP) — President-elect Donald Trump rang the opening bell at the New York Stock Exchange after being recognized by Time magazine as its person of the year. The honors Thursday for the businessman-turned-politician are a measure of Trump’s remarkable comeback from an ostracized former president who refused to accept his election loss four years ago to a president-elect who won the White House decisively in November. At the stock exchange, Trump was accompanied by his wife, Melania Trump, daughters Ivanka and Tiffany and Vice President-elect JD Vance. Trump grinned as people chanted “USA” before he opened the trading day and raised his fist. YouTube TV is hiking its monthly price, again. Here's what to know NEW YORK (AP) — Are you a YouTube TV subscriber? Your monthly bills are about to get more expensive again. YouTube has announced that it’s upping the price of its streaming service’s base plan by $10 — citing rising content costs and other investments. The new $82.99 per month price tag will go into effect starting Jan. 13 for existing subscribers, and immediately for new customers who sign up going forward. YouTube TV has rolled out a series of price hikes over the years. When launched back in 2017, the going price of its streaming package was $35 a month. By 2019, that fee rose to $50 — and has climbed higher and higher since. Snoop Dogg and Dr. Dre's brotherhood is still strong after 30 years with new album 'Missionary' LOS ANGELES (AP) — When it comes to music, there’s one person in particular Snoop Dogg trusts to steer the ship without question: hit-making producer Dr. Dre. Their bond, built over 30 years of brotherhood, began when Dr. Dre shaped Snoop’s game-changing debut, “Doggystyle,” a cornerstone of hip-hop history. From young dreamers chasing stardom to legends cementing their legacies, the duo has always moved in sync. Now, the dynamic pair reunites for Snoop’s “Missionary,” his milestone 20th studio album, which releases Friday. The 15-track project features several big-name guest appearances including Eminem, 50 Cent, Sting, Method Man, Jelly Roll, Tom Petty, Jhené Aiko and Method Man. Country star Morgan Wallen sentenced in chair-throwing case NASHVILLE, Tenn. (AP) — Country music star Morgan Wallen has pleaded guilty to two misdemeanor counts of reckless endangerment. He had been charged for throwing a chair from the rooftop of a six-story bar in Nashville and nearly hitting two police officers with it. Wallen appeared in court alongside his attorney on Thursday. He was sentenced to spend seven days in a DUI education center and will be under supervised probation for two years. According to the arrest affidavit, Wallen was accused of throwing a chair off the roof of Chief’s bar on April 7. The chair landed about a yard from the officers. Witnesses told police they saw Wallen pick up a chair, throw it off the roof and laugh about it. 'Vanderpump Rules' star James Kennedy arrested on suspicion of misdemeanor domestic violence BURBANK, Calif. (AP) — Police say “Vanderpump Rules” star James Kennedy has been arrested on suspicion of misdemeanor domestic violence. Police in Burbank, California, say officers investigated reports of an argument between a man and a woman at a residence late Tuesday night and arrested the 32-year-old Kennedy. He was released from jail after posting bail. A representative of Kennedy did not immediately respond to a message seeking comment. The Burbank city attorney will decide whether to file charges. Kennedy is a DJ and reality TV star who has appeared for 10 seasons on “Vanderpump Rules” — the Bravo series about the lives of employees at a set of swank restaurants. The wife of a Wisconsin kayaker who faked his own death moves to end their marriage MADISON, Wis. (AP) — The wife of a Wisconsin kayaker who faked his own drowning so he could abscond to Europe has filed a court action to end the couple's marriage. Online court records indicate Emily Borgwardt filed a petition in Dodge County Circuit Court on Thursday seeking to annul her marriage to Ryan Borgwardt. A hearing has been set for April. According to court documents, Ryan Borgwardt staged his own drowning by leaving his overturned kayak floating on Green Lake. He flew to Eastern Europe, where he spent several days in a hotel with a woman before taking up residence in the country of Georgia. He is charged with misdemeanor obstruction in Green Lake County. San Francisco names street for Associated Press photographer who captured the iconic Iwo Jima photo SAN FRANCISCO (AP) — A block in downtown San Francisco has been renamed for acclaimed photojournalist Joe Rosenthal, who won the Pulitzer Prize for his iconic photo of U.S. Marines raising the flag on the Japanese island of Iwo Jima during WWII. The longtime staff photographer for the San Francisco Chronicle, who died in 2006 at age 94, is also remembered for the 35 years he spent documenting the city's famous and not so famous for the daily newspaper. He photographed a young Willie Mays getting his hat fitted as a San Francisco Giant in 1957. He also photographed joyous children making a mad dash for freedom on the last day of school in 1965. Nearly half of US teens are online 'constantly,' Pew report finds Nearly half of American teenagers say they are online “constantly,” despite concerns about the effects of social media and smartphones on their mental health. That's according to a new report published Thursday by the Pew Research Center. As in past years, YouTube was the single most popular platform teenagers used — 90% said they watched videos on the site, down slightly from 95% in 2022. There was a slight downward trend in several popular apps teens used. For instance, 63% of teens said they used TikTok, down from 67% and Snapchat slipped to 55% from 59%. Wander Franco's sex abuse trial has been postponed 5 months PUERTO PLATA, Dominican Republic (AP) — The trial against Tampa Bay Rays shortstop Wander Franco, who has been charged with sexually abusing a minor, sexual and commercial exploitation against a minor, and human trafficking, has been postponed until June 2, 2025. Dominican judge Yacaira Veras postponed the hearing Thursday at the request of prosecutors because of the absence of several key witnesses in the case. Franco’s lawyers asked the court to reconsider the postponement, arguing Franco must report to spring training in mid-February. The judge replied that Franco is obligated to continue with the trial schedule and his conditional release from detainment. Turning dusty attic treasures into cash can yield millions for some and disappointment for others THOMASTON, Maine (AP) — Kaja Veilleux has been hunting New England attic treasures for more than 50 years. He once found a copy of the Declaration of Independence sitting on a trash heap, and he made headlines this year when he stumbled upon a million-dollar portrait that may have been painted by the Dutch master Rembrandt. Many people dream of cashing in on some dusty old heirloom. Veilleux helps people sort the gems from the junk when he appraises furniture, antiques and art by using his knowledge of what similar items have sold for in the past.Winter Strikes! Travel Chaos Ensues in Southern France
Prediction #3: Donald Trump and Elon Musk will have a messy falling-out. This will have meaningful ... [+] consequences for the world of AI. 1. Meta will begin charging for use of its Llama models. Meta is the world’s standard bearer for open-weight AI. In a fascinating case study in corporate strategy, while rivals like OpenAI and Google have kept their frontier models closed source and charged for their use, Meta has chosen to give its state-of-the-art Llama models away for free. So it will come as a surprise to many next year when Meta begins charging companies to use Llama. To be clear: we are not predicting that Meta will make Llama entirely closed source, nor that anyone who uses the Llama models will have to pay for them. Instead, we predict that Meta will make the terms of Llama’s open-source license more restrictive, such that companies who use Llama in commercial settings above a certain scale will need to start paying to access the models. Technically, Meta already does a limited version of this today. The company does not allow the very largest companies—the cloud hyperscalers and other companies with more than 700 million monthly active users—to freely use its Llama models. Back in 2023, Meta CEO Mark Zuckerberg said : “If you’re someone like Microsoft, Amazon or Google, and you’re going to basically be reselling [Llama], that’s something that we think we should get some portion of the revenue for. I don’t think that that’s going to be a large amount of revenue in the near-term, but over the long term, hopefully that can be something.” Today’s NYT Mini Crossword Clues And Answers For Sunday, December 22 Are You Ready To Build Wealth? Here’s How To Make Your First Million NYT ‘Strands’ Today: Hints, Spangram And Answers For Sunday, December 22nd Next year, Meta will substantially expand the set of organizations who must pay to use Llama to include many more large and mid-sized enterprises. Why would Meta make this strategic pivot? Keeping up with the LLM frontier is incredibly expensive. Meta will need to invest many billions of dollars every year if it wants Llama to stay at or near parity with the latest frontier models from OpenAI, Anthropic and others. Meta is one of the world’s largest and most deep-pocketed companies. But it is also a publicly traded company that is ultimately answerable to its shareholders. As the cost of building frontier models skyrockets, it is increasingly untenable for Meta to devote such vast sums to train next-generation Llama models with zero expectation of revenue. Hobbyists, academics, individual developers and startups will continue to be able to use the Llama models free of charge next year. But 2025 will be the year that Meta gets serious about monetizing Llama. 2. Scaling laws will be discovered and exploited in areas beyond text—in particular, in robotics and biology. No topic in AI has generated more discussion in recent weeks than scaling laws—and the question of whether they are coming to an end. First introduced in a 2020 OpenAI paper , the basic concept behind scaling laws is straightforward: as the number of model parameters, the amount of training data, and the amount of compute increase when training an AI model, the model’s performance improves (technically, its test loss decreases) in a reliable and predictable way. Scaling laws are responsible for the breathtaking performance improvements from GPT-2 to GPT-3 to GPT-4. Much like Moore’s Law, scaling laws are not in fact laws but rather simply empirical observations. Over the past month, a series of reports have suggested that the major AI labs are seeing diminishing returns to continued scaling of large language models. This helps explain, for instance, why OpenAI’s GPT-5 release keeps getting delayed. The most common rebuttal to plateauing scaling laws is that the emergence of test-time compute opens up an entirely new dimension on which to pursue scaling. That is, rather than massively scaling compute during training, new reasoning models like OpenAI’s o3 make it possible to massively scale compute during inference , unlocking new AI capabilities by enabling models to “think for longer.” This is an important point. Test-time compute does indeed represent an exciting new avenue for scaling and for AI performance improvement. But another point about scaling laws is even more important and too little appreciated in today’s discourse. Nearly all discussions about scaling laws—starting with the original 2020 paper and extending all the way through to today’s focus on test-time compute—center on language. But language is not the only data modality that matters. Think of robotics, or biology, or world models, or web agents. For these data modalities, scaling laws have not been saturated; on the contrary, they are just getting started. Indeed, rigorous evidence of the existence of scaling laws in these areas has not even been published to date. Startups building foundation models for these newer data modalities—for instance, EvolutionaryScale in biology, Physical Intelligence in robotics, World Labs in world models—are seeking to identify and ride scaling laws in these fields the way that OpenAI so successfully rode LLM scaling laws in the first half of the 2020s. Next year, expect to see tremendous advances here. Don’t believe the chatter. Scaling laws are not going away. They will be as important as ever in 2025. But the center of activity for scaling laws will shift from LLM pretraining to other modalities. 3. Donald Trump and Elon Musk will have a messy falling-out. This will have meaningful consequences for the world of AI. A new administration in the U.S. will bring with it a number of policy and strategy shifts on AI. In order to predict where the AI winds will blow under President Trump, it might be tempting to focus on the president-elect’s close relationship with Elon Musk, given Musk’s central role in the AI world today. One can imagine a number of different ways in which Musk might influence AI-related developments in a Trump administration. Given Musk’s deeply hostile relationship with OpenAI, the new administration might take a less friendly stance toward OpenAI when engaging with industry, crafting AI regulation, awarding government contracts, and so forth. (This is a real risk that OpenAI is worried about today.) On the flipside, the Trump administration might preferentially favor Musk’s own companies: for instance, slashing red tape to enable xAI to build data centers and get a leg up in the frontier model race; granting rapid regulatory approval for Tesla to deploy robotaxi fleets; and so forth. More fundamentally, Elon Musk—unlike many other technology leaders who have Trump’s ear—takes existential AI safety risks very seriously and is therefore an advocate for significant AI regulation. He supported California’s controversial SB 1047 bill, which sought to impose meaningful restrictions on AI developers. Musk’s influence could thus lead to a more heavy-handed regulatory environment for AI in the U.S. There is one problem with all these speculations, though. Donald Trump and Elon Musk’s cozy relationship will inevitably fall apart. As we saw time and time again during the first Trump administration, the median tenure of a Trump ally, even the seemingly staunchest, is remarkably short—from Jeff Sessions to Rex Tillerson to James Mattis to John Bolton to Steve Bannon. (And, of course, who can forget Anthony Scaramucci’s ten-day stint in the White House?) Very few of Trump’s deputies from his first administration remain loyal to him today. Both Donald Trump and Elon Musk are complex, volatile, unpredictable personalities. They are not easy to work with. They burn people out. Their newfound friendship has proven mutually beneficial to this point, but it is still in its honeymoon phase. We predict that, before 2025 has come to an end, the relationship will have soured. What will this mean for the world of AI? It will be welcome news for OpenAI. It will be unfortunate news for Tesla shareholders. And it will be a disappointment for those concerned with AI safety, as it will all but ensure that the U.S. government will take a hands-off approach to AI regulation under Trump. 4. Web agents will go mainstream, becoming the next major killer application in consumer AI. Imagine a world in which you never have to directly interact with the web. Whenever you need to manage a subscription, pay a bill, schedule a doctor’s appointment, order something on Amazon, make a restaurant reservation, or complete any other tedious online task, you can simply instruct an AI assistant to do so on your behalf. This concept of a “web agent” has been around for years. If something like this existed and worked, there is little doubt that it would be a wildly successful product. Yet no functioning general-purpose web agent is available on the market today. Startups like Adept—which raised hundreds of millions of dollars with a highly pedigreed founding team but failed to deliver on its vision—have become cautionary tales in this category. Next year will be the year that web agents finally start working well enough to go mainstream. Continued advances in language and vision foundation models, paired with recent breakthroughs on “System 2 thinking” capabilities as a result of new reasoning models and inference-time compute, will mean that web agents will be ready for primetime. (In other words, Adept had the right idea; it was just too early. In startups, as in much in life, timing is everything.) Web agents will find all sorts of valuable enterprise use cases, but we believe that the biggest near-term market opportunity for web agents will be with consumers. Despite all the recent AI fervor, relatively few AI-native applications beyond ChatGPT have yet broken through to become mainstream consumer successes. Web agents will change that, becoming the next true “killer app” in consumer AI. 5. Multiple serious efforts to put AI data centers in space will take shape. In 2023, the critical physical resource bottlenecking AI growth was GPU chips. In 2024, it has become power and data centers. Few storylines have gotten more play in 2024 than AI’s enormous and fast-growing energy needs amid the rush to build more AI data centers. After remaining flat for decades, global power demand from data centers is projected to double between 2023 and 2026 thanks to the AI boom. In the U.S., data centers are projected to consume close to 10% of all power by 2030, up from just 3% in 2022. The demand for energy to power AI data centers is skyrocketing. Our energy systems are not prepared. Today’s energy system is simply not equipped to handle the tremendous surge in demand coming from artificial intelligence workloads. A historic collision between these two multi-trillion-dollar systems—our energy grid and our computing infrastructure—is looming. Nuclear power has gained momentum this year as a possible solution to this Gordian knot. Nuclear represents an ideal energy source for AI in many ways: it is zero-carbon, available 24/7 and effectively inexhaustible. But realistically, new nuclear energy sources won’t be able to make a dent in this problem until the 2030s, given long research, project development and regulatory timelines. This goes for traditional nuclear fission power plants, for next-generation “small modular reactors” (SMRs) and certainly for nuclear fusion power plants. Next year, an unconventional new idea to tackle this challenge will emerge and attract real resources: putting AI data centers in space. AI data centers in space —at first blush, this sounds like a bad joke about a VC trying to combine too many startup buzzwords. But there may in fact be something here. The biggest bottleneck to rapidly building more data centers on earth is accessing the requisite power. A computing cluster in orbit can enjoy free, limitless, zero-carbon power around the clock: the sun is always shining in space. Another meaningful advantage to putting compute in space: it solves the cooling problem. One of the biggest engineering obstacles to building more powerful AI data centers is that running many GPUs at the same time in a confined space gets very hot, and high temperatures can damage or destroy computing equipment. Data center developers are resorting to expensive, unproven methods like liquid immersion cooling to try to solve this problem. But space is extremely cold; any heat generated from computing activity would immediately and harmlessly dissipate. Of course, plenty of practical challenges remain to be solved. One obvious issue is whether and how large volumes of data can be moved cost-efficiently between orbit and earth. This is an open question, but it may prove solvable, with promising work underway using lasers and other high-bandwidth optical communications technology. A buzzy startup out of Y Combinator named Lumen Orbit recently raised $11m to pursue this exact vision: building a multi-gigawatt network of data centers in space to train AI models. As Lumen CEO Philip Johnston put it: “Instead of paying $140 million for electricity, you can pay $10 million for a launch and solar.” Lumen will not be the only organization taking this concept seriously in 2025. Other startup competitors will emerge. Don’t be surprised to see one or more of the cloud hyperscalers launch exploratory efforts along these lines as well. Amazon already has extensive experience putting assets into orbit via Project Kuiper ; Google has a long history of funding moonshot ideas like this; and even Microsoft is no stranger to the space economy. Elon Musk’s SpaceX could conceivably make a play here too. 6. An AI system will pass the “Turing test for speech.” The Turing test is one of the oldest and most well-known benchmarks for AI performance. In order to “pass” the Turing test, an AI system must be able to communicate via written text such that the average human is not able to tell whether he or she is interacting with an AI or interacting with another human. Thanks to dramatic recent advances in large language models, the Turing test has become a solved problem in the 2020s. But written text is not the only way that humans communicate. As AI becomes increasingly multimodal, one can imagine a new, more challenging version of the Turing test—a “Turing test for speech”—in which an AI system must be able to interact with humans via voice with a degree of skill and fluidity that make it indistinguishable from a human speaker. The Turing test for speech remains out of reach for today’s AI systems. Solving it will require meaningful additional technology advances. Latency (the lag between when a human speaks and when the AI responds) must be reduced to near-zero in order to match the experience of speaking with another human. Voice AI systems must get better at gracefully handling ambiguous inputs or misunderstandings in real-time—for instance, when they get interrupted mid-sentence. They must be able to engage in long, multi-turn, open-ended conversations while holding in memory earlier parts of the discussion. And crucially, voice AI agents must learn to better understand non-verbal signal in speech—for instance, what it means if a human speaker sounds annoyed versus excited versus sarcastic—and to generate those non-verbal cues in their own speech. Voice AI is at an exciting inflection point as we near the end of 2024, driven by fundamental breakthroughs like the emergence of speech-to-speech models. Few areas of AI are advancing more rapidly today, both technologically and commercially. Expect to see the state of the art in voice AI leap forward in 2025. 7. Major progress will be made on building AI systems that can themselves autonomously build better AI systems. The concept of recursively self-improving AI has been a frequent touchpoint in AI circles going back decades. Back in 1965, for instance, Alan Turing’s close collaborator I.J. Good wrote: “Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man, however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an ‘intelligence explosion,’ and the intelligence of man would be left far behind.” The idea of AI that can invent better AI is an intellectually fascinating concept. But, even today, it retains a whiff of science fiction. However—while it is not yet widely appreciated—this concept is in fact starting to get more real . Researchers at the frontiers of AI science have begun to make tangible progress toward building AI systems that can themselves build better AI systems. We predict that next year, this vein of research will burst into the mainstream. To date, the most notable public example of research along these lines is Sakana’s “AI Scientist.” Published in August, the AI Scientist work represents a compelling proof of concept that AI systems can indeed carry out AI research entirely autonomously. Sakana’s AI Scientist executes the entire lifecycle of artificial intelligence research itself: reading the existing literature, generating novel research ideas, designing experiments to test those ideas, carrying out those experiments, writing up a research paper to report its findings, and then conducting a process of peer review on its work. It does this entirely autonomously, with no human input. Some of the research papers that the AI Scientist produced are available online to read. Rumors abound that OpenAI, Anthropic and other research labs are devoting resources to this idea of “automated AI researchers,” though nothing has yet been publicly acknowledged. Expect to see much more discussion, progress and startup activity in this field in 2025 as it becomes more widely appreciated that automating AI research is in fact becoming a real possibility. The most meaningful milestone, though, will be when a research paper written entirely by an AI agent is accepted into a top AI conference for the first time. (Because papers are blindly reviewed, conference reviewers won’t know that a paper was written by an AI until after it has been accepted.) Don’t be surprised to see research work produced by an AI get accepted at NeurIPS, CVPR or ICML next year. It will be a fascinating, controversial and historic moment for the field of AI. 8. OpenAI, Anthropic and other frontier labs will begin “moving up the stack,” increasingly shifting their strategic focus to building applications. Building frontier models is a tough business to be in. It is staggeringly capital intensive. Frontier model labs burn historic amounts of cash. OpenAI raised a record $6.5 billion in funding just a few months ago—and it will likely have to raise even more before long. Anthropic, xAI and others are in similar positions. Switching costs and customer loyalty are low. AI applications are often built to be model-agnostic, with models from different providers frictionlessly swapped in and out based on changing cost and performance comparisons. And with the emergence of state-of-the-art open models like Meta’s Llama and Alibaba’s Qwen, the threat of technology commoditization constantly looms. AI leaders like OpenAI and Anthropic cannot and will not stop investing in building cutting-edge models. But next year, in an effort to develop business lines that are higher-margin, more differentiated and stickier, expect to see the frontier labs make a big push to roll out more of their own applications and products. Of course, one wildly successful example of an application from a frontier lab already exists: ChatGPT. What other kinds of first-party applications might we expect to see from the AI labs in the new year? One obvious answer is more sophisticated and feature-rich search applications. OpenAI’s SearchGPT effort is a sign of things to come here. Coding is another obvious category. Again, initial productization efforts are already underway, with the debut of OpenAI’s canvas product in October. Might OpenAI or Anthropic launch an enterprise search offering in 2025? Or a customer service product? How about a legal AI or a sales AI product? On the consumer side, one can imagine a “personal assistant” web agent product, or a travel planning application, or perhaps a generative music application. One of the most fascinating parts of watching frontier labs move up the stack to the application layer is that this move will bring them into direct competition with many of their most important customers: in search, Perplexity; in coding, Cursor; in customer service, Sierra; in legal AI, Harvey; in sales, Clay; and on and on. 9. As Klarna prepares for a 2025 IPO, the company’s claims about its use of AI will come under scrutiny and prove to be wildly overstated. Klarna is a “buy now, pay later” provider based in Sweden that has raised close to $5 billion in venture capital since its founding in 2005. Perhaps no company has made more grandiose claims about its use of AI than has Klarna. Just a few days ago, Klarna CEO Sebastian Siemiatkowski told Bloomberg that the company has stopped hiring human employees altogether, instead relying on generative AI to get work done. As Siemiatkowski put it : “I am of the opinion that AI can already do all of the jobs that we as humans do.” Along similar lines, Klarna announced earlier this year that it had launched an AI customer service platform that has fully automated the work of 700 human customer service agents. The company has also claimed that it has stopped using enterprise software products like Salesforce and Workday because it can simply replace them with AI. To put it directly, these claims are not credible. They reflect a poorly informed understanding of what AI systems are and are not capable of today. It is not plausible to claim to be able to replace any given human employee, in any given function of an organization, with an end-to-end AI agent. This would amount to having solved general-purpose human-level AI. Leading AI startups today are working hard at the cutting edge of the field to build agentic systems that can automate specific, narrowly defined, highly structured enterprise workflows—for instance, a subset of the activities of a sales development representative or a customer service agent. Even in these narrowly circumscribed contexts, these agents do not yet work totally reliably, although in some cases they have begun to work well enough to see early commercial adoption. Why would Klarna make such overstated claims about the value it is deriving from AI? There is a simple answer. The company plans to IPO in the first half of 2025. Having a compelling AI narrative will be critical to a successful public listing. Klarna remains an unprofitable business, with $241 million in losses last year ; it may hope that its AI story will persuade public market investors about its ability to dramatically reduce costs and swing to lasting profitability. Without doubt, every organization in the world, including Klarna, will enjoy vast productivity gains from AI in the years ahead. But many thorny technology, product and organizational challenges remain to be solved before AI agents can completely replace humans in the workforce. Overblown claims like Klarna’s do a disservice to the field of AI and to the hard-fought progress that AI technologists and entrepreneurs are actually making toward developing agentic AI. As Klarna prepares for its public offering in 2025, expect to see greater scrutiny and public skepticism about these claims, which so far have mostly gone unchallenged. Don’t be surprised to see the company walk back some of its more over-the-top descriptions of its AI use. (And of course—get ready for the word “AI” to appear in the company’s S-1 many hundreds of times.) 10. The first real AI safety incident will occur. As artificial intelligence has become more powerful in recent years, concerns have grown that AI systems might begin to act in ways that are misaligned with human interests and that humans might lose control of these systems. Imagine, for instance, an AI system that learns to deceive or manipulate humans in pursuit of its own goals, even when those goals cause harm to humans. This general set of concerns is often categorized under the umbrella term “AI safety.” In recent years, AI safety has moved from a fringe, quasi-sci-fi topic to a mainstream field of activity. Every major AI player today, from Google to Microsoft to OpenAI, devotes real resources to AI safety efforts. AI icons like Geoff Hinton, Yoshua Bengio and Elon Musk have become vocal about AI safety risks. Yet to this point, AI safety concerns remain entirely theoretical. No actual AI safety incident has ever occurred in the real world (at least none that has been publicly reported). 2025 will be the year that this changes. What should we expect this first AI safety event to look like? To be clear, it will not entail Terminator -style killer robots. It most likely will not involve harm of any kind to any humans. Perhaps an AI model might attempt to covertly create copies of itself on another server in order to preserve itself (known as self-exfiltration). Perhaps an AI model might conclude that, in order to best advance whatever goals it has been given, it needs to conceal the true extent of its capabilities from humans, purposely sandbagging performance evaluations in order to evade stricter scrutiny. These examples are not far-fetched. Apollo Research published important experiments earlier this month demonstrating that, when prompted in certain ways, today’s frontier models are capable of engaging in just such deceptive behavior. Along similar lines, recent research from Anthropic showed that LLMs have the troubling ability to “fake alignment.” Transcripts from Apollo Research's experiments with frontier LLMs, demonstrating these models' ... [+] latent potential for deception and even attempted self-exfiltration. We expect that this first AI safety incident will be detected and neutralized before any real harm is done. But it will be an eye-opening moment for the AI community and for society at large. It will make one thing clear: well before humanity faces an existential threat from all-powerful AI, we will need to come to terms with the more mundane reality that we now share our world with another form of intelligence that may at times be willful, unpredictable and deceptive—just like us. See here for our 2024 AI predictions, and see here for our end-of-year retrospective on them. See here for our 2023 AI predictions, and see here for our end-of-year retrospective on them. See here for our 2022 AI predictions, and see here for our end-of-year retrospective on them. See here for our 2021 AI predictions, and see here for our end-of-year retrospective on them.
Share this Story : A fifth person charged following downtown pro-Palestinian protest on Nov. 18 Copy Link Email X Reddit Pinterest LinkedIn Tumblr Breadcrumb Trail Links Local News A fifth person charged following downtown pro-Palestinian protest on Nov. 18 On Sunday, police said a 29-year-old woman, who was not identified, had also been arrested in relation to the same protest. Author of the article: Staff Reporter Published Nov 24, 2024 • 2 minute read Join the conversation You can save this article by registering for free here . Or sign-in if you have an account. Pro-Palestinian demonstrators gathered outside Ottawa Police headquarters on Elgin Street on Monday, Nov. 18. Earlier that evening, four protesters were arrested for allegedly blocking a downtown street. Photo by Submitted/Sam Hersh Article content A fifth person has been charged in connection with a pro-Palestinian protest in Ottawa on Nov. 18. Originally, Ottawa police had announced that four people had been arrested for allegedly blocking a downtown street during a demonstration during the evening of Nov. 18. Police said demonstrators had gathered on Elgin Street at about 5 p.m. “and were advised by the Police Liaison Team members multiple times that they would need to limit their demonstration to the sidewalk and not obstruct traffic.” Demonstrators did not comply, police said. Advertisement 2 Story continues below This advertisement has not loaded yet, but your article continues below. THIS CONTENT IS RESERVED FOR SUBSCRIBERS ONLY Subscribe now to read the latest news in your city and across Canada. Exclusive articles from Elizabeth Payne, David Pugliese, Andrew Duffy, Bruce Deachman and others. Plus, food reviews and event listings in the weekly newsletter, Ottawa, Out of Office. Unlimited online access to Ottawa Citizen and 15 news sites with one account. Ottawa Citizen ePaper, an electronic replica of the print edition to view on any device, share and comment on. Daily puzzles, including the New York Times Crossword. Support local journalism. SUBSCRIBE TO UNLOCK MORE ARTICLES Subscribe now to read the latest news in your city and across Canada. Exclusive articles from Elizabeth Payne, David Pugliese, Andrew Duffy, Bruce Deachman and others. Plus, food reviews and event listings in the weekly newsletter, Ottawa, Out of Office. Unlimited online access to Ottawa Citizen and 15 news sites with one account. Ottawa Citizen ePaper, an electronic replica of the print edition to view on any device, share and comment on. Daily puzzles, including the New York Times Crossword. Support local journalism. REGISTER / SIGN IN TO UNLOCK MORE ARTICLES Create an account or sign in to continue with your reading experience. Access articles from across Canada with one account. Share your thoughts and join the conversation in the comments. Enjoy additional articles per month. Get email updates from your favourite authors. THIS ARTICLE IS FREE TO READ REGISTER TO UNLOCK. Create an account or sign in to continue with your reading experience. Access articles from across Canada with one account Share your thoughts and join the conversation in the comments Enjoy additional articles per month Get email updates from your favourite authors Sign In or Create an Account Email Address Continue or View more offers If you are a Home delivery print subscriber, unlimited online access is included in your subscription. Activate your Online Access Now Article content On Sunday, police said a 29-year-old woman, who was not identified, had also been arrested in relation to the same protest. She was charged with two counts of public mischief, obstruction of police, counsel an uncommitted indictable offence of mischief and unlawful assembly. The woman was to appear in court Monday. In a news release Sunday, police said that on Nov. 18, in addition to the four who were initially arrested, they had “identified others in the crowd committing offences but deemed that it would not be safe to make arrests at the time and risk an escalation. These activities included obstructing police, mischief, directing others to commit offences and repeated noise offences.” The original four who were arrested — Josh Lalonde, Ali Nasser-El-Dinne, Ayman Fadil and Hassan Hamed — face charges of mischief, obstructing a peace officer and participating in an unlawful assembly. “We recognize the concerns raised by members of the community regarding these arrests,” the Nov. 24 police news release read. “The OPS is committed to ensuring community safety and respecting the lawful right to protest. Any charges related to demonstrations are carefully considered with this balance, and we are focused on balancing the need for public safety with fostering trust and understanding.” Advertisement 3 Story continues below This advertisement has not loaded yet, but your article continues below. Article content Pro-Palestinian protests and marches have become a mainstay on the streets of downtown Ottawa for more than a year, since the Oct. 7, 2023 Hamas attack on Israel, and Israel’s subsequent retaliation, escalated the ongoing war in the region. Hundreds of Pro-Palestinian demonstrators have routinely gathered at the human rights monument on Elgin Street and marched through the streets of downtown Ottawa and the ByWard Market, flanked by police. — With files from Marlo Glass Recommended from Editorial Four pro-Palestinian protesters arrested for allegedly blocking road Kaplan-Myrth: Those who dismiss antisemitism, in Ottawa and elsewhere, only add to the harm Article content Share this article in your social network Share this Story : A fifth person charged following downtown pro-Palestinian protest on Nov. 18 Copy Link Email X Reddit Pinterest LinkedIn Tumblr Comments You must be logged in to join the discussion or read more comments. Create an Account Sign in Join the Conversation Postmedia is committed to maintaining a lively but civil forum for discussion. Please keep comments relevant and respectful. Comments may take up to an hour to appear on the site. You will receive an email if there is a reply to your comment, an update to a thread you follow or if a user you follow comments. Visit our Community Guidelines for more information. Trending Wife of abusive CFB Petawawa soldier seeks $12 million in damages from military Local News Rockcliffe Park fight over 'big, modern' home not over yet Local News Government auctioning off 'rare' Pokémon card from surplus list Public Service Ottawa's death toll from drug overdoses appears headed for new record in 2024 News Ottawa councillor's profane outburst with daycare staff 'bullying and intimidation' News Read Next Latest National Stories Featured Local SavingsThe US says it pushed retraction of a famine warning for north Gaza. Aid groups express concern.
Alabama and Mississippi tumbled out of the top 10 of The Associated Press Top 25 poll Sunday and Miami and SMU moved in following a chaotic weekend in the SEC and across college football in general. Oregon is No. 1 for the sixth straight week and Ohio State, Texas and Penn State held their places behind the Ducks, who are the last unbeaten team. The shuffling begins at No. 5, where Notre Dame returned for the first time since Week 2 after beating Army for its ninth straight win. No. 6 Georgia moved up two spots, No. 7 Tennessee and No. 8 Miami each got a three-rung promotion and No. 9 SMU jumped four places for its first top-10 ranking since 1985. SMU has clinched a spot in the Atlantic Coast Conference title game and would play Miami, if the Hurricanes win at Syracuse this week, or No. 12 Clemson . Indiana dropped from No. 5 to No. 10 following its first loss, a 38-15 defeat at Ohio State. The Buckeyes would play Oregon in the Big Ten championship game if they beat Michigan this Saturday for the first time in four years. The Southeastern Conference's hopes for landing four spots in the College Football Playoff took a hit with two of their teams losing as double-digit favorites. Texas, Georgia and Tennessee are the only SEC teams with fewer than three losses after Alabama lost 24-3 at Oklahoma and Mississippi lost 24-17 at Florida. Alabama and Mississippi each dropped six spots in the AP poll, the Crimson Tide to No. 13 and the Rebels to No. 15. Texas A&M was the third SEC team to lose, 43-41 at Auburn in four overtimes. The Aggies tumbled five places to No. 20 but would play Georgia in the SEC championship game if they knock off Texas this week. Losses by BYU and Colorado created a four-way tie for first in the Big 12. No. 14 Arizona State, picked to finish last in the conference, handed BYU its second straight loss and is the highest-ranked Big 12 team. No. 17 Iowa State earned a five-rung promotion with its win at Utah. BYU is No. 19 and Colorado, which lost to Kansas , is No. 23. If the four teams each finish 7-2 in conference play, it's Iowa State vs. Arizona State in the Big 12 championship game. No. 11 Boise State is first among the four ranked Group of Five teams. The Broncos got a one-spot bump despite struggling to beat a two-win Wyoming team. Tulane is No. 18, UNLV is No. 21 and Army is No. 25. Oregon, which was idle, was the consensus No. 1 team for the fourth straight week. The Ducks will be unbeaten in the regular season for the first time since 2010 if they beat Washington at home Saturday. Boise State's ranking is its highest since it was No. 8 in the final poll of the 2011 season. Arizona State's ranking is its highest since it was No. 12 in the final poll of the 2014 season. Indiana-Ohio State was the final top-five matchup of the regular season. The five were the most in a regular season since 1996. There also were five in 1936 and 1943. No. 24 Missouri, a 39-20 winner at Mississippi State , returned to the Top 25 after a one-week absence. Washington State's four-week run in the rankings ended with its second straight loss, 41-38 loss at Oregon State. SEC — 8 (Nos. 3, 6, 7, 13, 15, 16, 20, 24). Big Ten — 5 (Nos. 1, 2, 4, 10, 22). Big 12 — 4 (Nos. 14, 17, 19, 23). ACC — 3 (Nos. 8, 9, 12). AAC — 2 (Nos. 18, 25). Mountain West — 2 (Nos. 11, 21). Independent — 1 (No. 5). —No. 16 South Carolina at No. 12 Clemson: It's a Top 25 matchup for the first time since 2013. Clemson's 16-7 victory in Columbia last year was the fourth of five straight wins to end the Tigers' season. —No. 3 Texas at No. 20 Texas A&M: Stakes are high for the first meeting of longtime rivals since both were in the Big 12 in 2011. Winner goes to the SEC title game. Get poll alerts and updates on the AP Top 25 throughout the season. Sign up here . AP college football: https://apnews.com/hub/ap-top-25-college-football-poll and https://apnews.com/hub/college-footballUruguay's voters choose their next president in a close runoff with low stakes but much suspenseTrump threatens to try to take back the Panama Canal. Panama's president balks at the suggestionMaxillofacial surgery Market Current Trends, Growth Status, Top Major Players And Forecast To 2024-2031 | 12-22-2024 11:24 AM CET | Health & Medicine Press release from: Coherent Market Insights Maxillofacial surgery Market According to the latest research from Coherent Market Insights, the Maxillofacial surgery market is projected to experience significant growth between 2024 and 2031. This market intelligence report offers in-depth analysis based on thorough research, highlighting current trends, financial performance, and historical data evaluation. 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We are known for our actionable insights and authentic reports in various domains including aerospace and defense, agriculture, food and beverages, automotive, chemicals and materials, and virtually all domains and an exhaustive list of sub-domains under the sun. We create value for clients through our highly reliable and accurate reports. We are also committed in playing a leading role in offering insights in various sectors post-COVID-19 and continue to deliver measurable, sustainable results for our clients. This release was published on openPR.
