The long wait is finally over, anime fans! One-Punch Man has returned to our screens after a six-year hiatus, and boy, are we glad to have it back. With a Rotten Tomatoes score of 91% from critics, it’s no surprise that hundreds of fans tuned in to catch the first episode of One-Punch Man season 3 on October 12.

We’ve all been there, eagerly awaiting the return of our favorite shows. I remember the agony of waiting for Severance season 2, so I’m right there with you, celebrating the comeback of this anime powerhouse.

Season 3 of One-Punch Man dives into the Monster Association arc, with Garou now reportedly siding with the monsters. While the first episode was mostly setup with no major action scenes, fans have already started sharing their early verdicts.

Love it or hate it, everyone’s got an opinion. But it seems like most fans are happy with the new One-Punch Man, despite some debate around the new animation style.

Check out what fans are saying on X:

🗣️ “I enjoyed the season premiere of the new One Punch Man. The animation is gonna take a lil getting used to, but glad they fixed up SuperAlloy! #onepunchman” – @AnimeFan4Life, October 13, 2025

🗣️ “Scared that OPM S3 would fumble like S2’s animation, but EP1 looks clean! No big action yet, but the vibes are 🔥 hype building! 🙌 #OnePunchMan #S3” – @MonsterLover99, October 13, 2025

🗣️ “Peak episode, the art style exceeded my expectations, can’t wait to see how the animation of fight scene(s) play out next episode… #OnePunchMan” – @ArtLover123, October 12, 2025

🗣️ “This animation in the OPM season 3 intro already looks so much better than all of season 2 😭 #onepunchman” – @AnimeCritic2025, October 12, 2025

With just one episode under our belts, fans are eager to see how the fight scenes will unfold in the coming weeks. The official synopsis promises “full-scale hero vs. monster clashes,” so we can expect the show to pick up the pace soon, leading to a season finale on December 28.

Personally, I’m feeling optimistic about One-Punch Man. It’s still got that wild premise that drew me in initially, and it’s managed to keep me engaged ever since. Only time will tell if it can maintain its title as one of the best anime shows, but so far, so good!

You can catch One-Punch Man on Crunchyroll if you’re in the UK or Australia, and it’s also available on Netflix in Australia. For more info on scheduling, check out our release date schedule for One-Punch Man season 3.

While you wait for the next episode, why not check out these new anime trailers on Netflix or dive into some of the 94 new movies on Hulu this October? Happy streaming!

Buckle up, gamers! We’ve got some juicy leaks that might just blow your mind. Both the PlayStation 6 (PS6) and the next Xbox console are reportedly aiming for a 2027 launch, according to industry insiders.

First up, we have ‘KeplerL2’ from NeoGAF, who’s been spot-on with AMD hardware leaks in the past. This time, they’re claiming that Sony is planning to release the PS6 in 2027. This follows a recent video from Sony and AMD, where lead PS5 architect Mark Cerny teased future tech that’s “still very early” but “promising.” Fans have been debating whether “a few years” means 2027 or 2028, but KeplerL2 is confident it’s the former, barring any unexpected delays.

But wait, there’s more! YouTuber Moore’s Law is Dead has also been dropping hints about the next Xbox. In a video about the AMD Magnus APU (rumored to be powering the new Xbox), they repeatedly mentioned that the console is targeting a 2027 launch. They’ve been hearing this from multiple sources, so it’s looking like Microsoft is also aiming for a 2027 release.

As the PS5 and Xbox Series X/S continue their life cycles, rumors about their successors are heating up. Just last month, Moore’s Law is Dead claimed that the PS6 could launch as early as late 2027. So, mark your calendars, folks! It looks like we’ve got a gaming extravaganza to look forward to in 2027.

Stay tuned for more updates, and don’t forget to follow TechRadar for all the latest gaming news!

Get ready to ditch those old earbuds, Samsung fans! The Galaxy Buds 4 are on their way, and a sneaky new icon leak hints at a major design overhaul. Let’s dive in!

You might remember that the Galaxy Buds 3 took their sweet time to arrive, popping up in 2024, three years after their predecessor. But it seems Samsung is eager to keep the momentum going with the Galaxy Buds 4, and we might not have to wait as long this time.

Now, this leak is a bit unusual. Instead of a prototype pic or a rogue render, we’ve got an icon. Android Authority spotted it in a leaked build of One UI 8.5, and it’s a game-changer. The current Galaxy Buds 3 icon is pretty familiar, with a slight AirPods Pro vibe. But the new Galaxy Buds 4 icon? It’s bolder, with a smaller, more rounded ear tip and a different stem shape. The ends are rounded instead of triangular, and the earbuds’ body seems to have new proportions.

Check out the side-by-side comparison here (Image credit: Android Authority):

[Insert Image Here]

Now, we know what you’re thinking: “Isn’t reading tea leaves a bit more reliable than this?” Well, Samsung’s not going to mess around with an icon if they’re not planning a hardware redesign. They’d just swap the number 3 for a 4 and call it a day. So, this leak does suggest that a redesign is in the works.

And here’s the cherry on top: recent leaks have also hinted at Galaxy Buds 4 Pro parts. It’s only a matter of time before more concrete info starts spilling out!

Stay tuned for more updates, and while you’re at it, follow TechRadar on Google News, TikTok, and WhatsApp for all the latest tech news, reviews, and unboxings!

You might also like:
– “Samsung’s Galaxy Buds 3 Just Got Smarter with Gemini AI – But There’s a Catch!”
– “Meet the Samsung Galaxy Buds 3 FE: Real-Time Translation, Buds 3 Pro Looks, and the Longest Battery Life Ever!”
– “The Best Earbuds for Every Budget, All TechRadar Tested”

Hello, tech enthusiasts! Today, October 14, 2025, marks the end of an era as Windows 10 enters its End of Life phase. This means Microsoft will no longer provide official support, leaving users without new features, bug fixes, or security patches. But don’t panic! We’re here to help you navigate this transition like a pro.

Despite its age, Windows 10 still powers millions of PCs worldwide. You’ve probably seen those upgrade notifications from Microsoft, and even Apple’s been trying to lure you away. So, what does this End of Life phase mean for you, and what should you do next? Let’s dive in!

Why the fuss about Windows 10’s End of Life?
– No more updates: Once support ends, you won’t get new features, bug fixes, or security patches.
– Security risks: Outdated software can leave your PC vulnerable to malware and viruses.
– Microsoft & rivals: Both Microsoft and competitors like Apple want you to upgrade or switch.

What can you do?
1. Upgrade to Windows 11 (if you can): Microsoft has a built-in tool to check if your device is compatible. If it is, great! If not, don’t worry, we’ve got you covered.
2. Stick with Windows 10 (but be cautious): You can continue using Windows 10, but be aware of the risks. Consider using security software and avoid downloading files from untrusted sources.
3. Switch to a different OS: If your device can’t upgrade to Windows 11, you might want to consider switching to macOS, Linux, or even a Chromebook.

Stay tuned for more expert tips and advice throughout the day. We’ll be updating this live blog with all the information you need to make the right decision for you. Don’t let Windows 10’s End of Life phase leave you in the lurch – let’s tackle it together!

NVIDIA’s AI team has just dropped a bombshell with Reinforcement Learning Pretraining (RLP), a new training objective that blends reinforcement learning into the initial stages of AI training, rather than waiting until later. The idea is simple yet powerful: treat a short chain-of-thought (CoT) as an action before predicting the next token, and reward it based on the information it provides about the next token, compared to a ‘no-think’ baseline. This results in a continuous, position-wise reward signal that can be applied to ordinary text streams at a massive scale.

How it Works: RLP uses a single network to sample a CoT policy and score the next token. An ‘EMA teacher’ provides a ‘no-think’ counterfactual, and the reward is calculated as the log-likelihood ratio between the CoT-conditioned likelihood and the no-think baseline. Training updates only the thought tokens using a clipped surrogate with per-token importance ratios and group-relative advantages.

Why it Matters: Unlike previous ‘reinforcement pretraining’ methods that rely on sparse, binary correctness signals or proxy filters, RLP’s dense, verifier-free reward attaches position-wise credit wherever thinking improves prediction. This enables updates at every token position in general web-scale corpora without external verifiers or curated answer keys.

Results You Won’t Believe: Pretraining with RLP improved the overall math+science average by ~19% for Qwen3-1.7B-Base compared to the base model and ~17% compared to compute-matched continuous pretraining (CPT). After identical post-training, the RLP-initialized model retained a ~7-8% relative advantage, with the largest gains on reasoning-heavy benchmarks. For Nemotron-Nano-12B v2, applying RLP yielded an overall average increase from 42.81% to 61.32% and an absolute +23% gain on scientific reasoning, using ~200B fewer tokens.

Outperforming the Competition: Under matched data and compute, RLP outperformed RPT on math, science, and overall averages, thanks to its continuous information-gain reward versus RPT’s sparse binary signal and entropy-filtered tokens.

The Future is Here: Reinforcement Learning Pretraining (RLP) is orthogonal to post-training pipelines and shows compounding improvements after standard alignment. It scales to domain-agnostic corpora and SFT-style reasoning corpora, avoiding the brittleness of narrow curated datasets. Even in compute-matched comparisons, RLP still led on overall averages, suggesting the improvements derive from objective design, not budget.

Ready to Upgrade Your AI? RLP reframes pretraining to directly reward ‘think-before-predict’ behavior using a verifier-free, information-gain signal, yielding durable reasoning gains that persist through identical SFT+RLVR and extend across architectures. The method’s objective integrates cleanly into large-scale pipelines without curated verifiers, making it a practical upgrade to next-token pretraining rather than a post-training add-on.

Join the Revolution: Check out the [Paper](https://github.com/NVlabs/RLP/blob/main/pdf/RLP_Reinforcement_as_a_Pretraining_Objective.pdf), [Code](https://github.com/NVlabs/RLP), and [Project Page](https://nvlabs.github.io/RLP/). Follow us on [Twitter](https://twitter.com/NVlabs) and join our [100k+ ML SubReddit](https://www.reddit.com/r/MachineLearning/) and [Newsletter](https://nvlabs.github.io/newsletter/). And if you’re on Telegram, join us there too!

The latest iOS 26.1 beta is here, and while it’s not packed with major changes, there are three exciting updates that’ll make your iPhone experience even better. Let’s dive in!

🎬 Apple TV Gets a Colorful Makeover
The Apple TV app has a fresh, vibrant logo in this beta, reflecting Apple’s recent rebranding of the service to just ‘Apple TV’. It’s a small change, but it’s part of Apple’s plan to give the service a “vibrant new identity”. We can’t wait to see

Ever felt like you’re playing a high-stakes game of roulette with your LLM outputs? It’s time to take control! Tuning LLM outputs is like shaping a probability distribution, and we’ve got seven handy knobs to help you steer the game. Let’s dive in!

1. Max Tokens (a.k.a. max_tokens, max_output_tokens, max_new_tokens)
– What it is: A hard stop on how many tokens your model can generate. It doesn’t expand the context window, so keep an eye on that limit!
– When to tune: Keep latency and costs in check, or prevent overruns when you can’t rely on stop sequences alone.

2. Temperature (temperature)
– What it is: A scalar that sharpens or flattens the probability distribution. Lower values mean more deterministic outputs, while higher values bring more randomness.
– When to use: Dial it low for analytical tasks and crank it up for creative expansion.

3. Nucleus Sampling (top_p)
– What it is: Sample only from the smallest set of tokens whose cumulative probability mass is ≥ p. This helps trim the long, low-probability tail that causes “degeneration” (rambling, repetition).
– Practical notes: Common range is top_p ≈ 0.9–0.95. Tune either temperature or top_p, not both, to avoid coupled randomness.

4. Top-k Sampling (top_k)
– What it is: At each step, restrict candidates to the k highest-probability tokens. This improves novelty compared to beam search.
– Practical notes: Typical top_k ranges are small (≈5–50) for balanced diversity. With both top_k and top_p set, many libraries apply k-filtering then p-filtering.

5. Frequency Penalty (frequency_penalty)
– What it is: Decreases the probability of tokens that already appeared, reducing verbatim repetition. Positive values reduce repetition; negative values encourage it.
– When to use: Long generations where the model loops or echoes phrasing (e.g., bullet lists, poetry, code comments).

6. Presence Penalty (presence_penalty)
– What it is: Penalizes tokens that have appeared at least once so far, encouraging the model to introduce new tokens/topics. Positive values push toward novelty; negative values condense around seen topics.
– Tuning heuristic: Start at 0; nudge presence_penalty upward if the model stays too “on-rails” and won’t explore alternatives.

7. Stop Sequences (stop, stop_sequences)
– What it is: Strings that force the decoder to halt exactly when they appear, without emitting the stop text. Useful for bounding structured outputs.
– Design tips: Pick unambiguous delimiters unlikely to occur in normal text, and pair with max_tokens for a belt-and-suspenders control.

Interactions that matter:
– Temperature vs. Nucleus/Top-k: Raising temperature expands probability mass into the tail, which top_p/top_k then crop.
– Degeneration control: Nucleus sampling and light frequency penalty help alleviate repetition and blandness in long outputs.
– Latency/cost: max_tokens is the most direct lever; streaming the response doesn’t change cost but improves perceived latency.

Model differences: Some “reasoning” endpoints restrict or ignore these knobs, so always check model-specific docs before porting configs.

Now that you’re a pro at tuning LLM generation parameters, go forth and create amazing, controlled, and cost-effective outputs! 🚀🤖📝

🚨 Privacy experts are raising a red flag over Ireland’s plans to create an encryption backdoor! 🚨

In a united front, over 30 signatories from civil society organizations, companies, and cybersecurity experts, including members of the Global Encryption Coalition, are urging Ireland to reconsider its plans. They’re calling on the government to withdraw support for the EU’s plan to scan all citizens’ private chats.

The proposed backdoor aims to help law enforcement intercept criminal data, but experts warn that it could threaten the privacy and security of people worldwide, especially since Ireland hosts the EU headquarters of major tech companies like Apple and Meta.

Ireland’s Minister for Justice, Jim O’Callaghan, has made it clear that the government intends to address the challenges posed by encrypted messaging apps to lawful data interception. However, experts argue that weakening encryption would put both individuals and businesses at greater risk of cybercrime and foreign cyberattacks, undermining national security.

Encryption, used by messaging apps, secure emails, and VPNs, scrambles messages into an unreadable form, preventing unauthorized access. A backdoor for law enforcement would create an entry point that anyone, including criminals and hostile state actors, could exploit.

Signal, an encrypted messaging provider, has even stated that they would rather leave the market than comply with similar proposals.

Ireland, which also backs the controversial Child Sexual Abuse Regulation (CSAR) bill, is expected to begin work on the proposed Communications, Interception and Lawful Access Bill in the coming months. The government is also a fervent supporter of mandatory chat scanning in the EU.

But the debate is far from over. The Danish Presidency’s decision on the Chat Control proposal is still pending, and the baton could pass to Ireland next July. Stay tuned to see if Ireland will pick up where the Danes left off!

💬 “Weakening encryption would put both individuals and businesses at greater risk of scams, fraud, identity theft, and other cybercrime. It would also make sensitive data more vulnerable to foreign cyberattacks and undermine national security.” – Privacy experts

📣 Read the open letter to Ireland here: [Link](https://t.co/NGudPUADpB)

#NoToBackdoors 💪 #EncryptionMatters #PrivacyFirst #Cybersecurity

Buckle up, Tesla owners! A recent software update has transformed your in-car navigation into a scene straight out of the latest Tron movie. That’s right, your Model 3, Model Y, or Cybertruck can now sport a Light Cycle as its navigation icon, complete with a glowing trail as you cruise through the city. And if you’ve got the optional ambient lighting, your cabin can now bathe in a deep, sci-fi red hue. It’s like driving into the future, or at least, a futuristic movie set.

This update, rolled out in conjunction with the launch of Tron: Ares, is certainly a head-turner. But not everyone is thrilled. Some owners have taken to Reddit and other platforms to voice their displeasure. The futuristic turn signal sounds, they say, are more irritating than innovative. And the idea of corporate collaborations bringing ads into their cars? That’s a red flag for many.

While enabling the Tron: Ares theme is optional, it’s undeniable that this update blurs the line between adding value and pushing ads. And Tesla isn’t alone in this. As cars become more software-defined, over-the-air updates are opening the door to more subscription packages and ‘on-demand’ payments. Could in-vehicle ads be next? Ford and Jeep have already hinted at it.

So, are you ready to embrace the ads, or is this update a step too far? Only time will tell. But one thing’s for sure, the road ahead is going to look a lot different.

The AI revolution is here, and it’s racing across industries. From chatbots to demand predictors, AI is no longer a lab experiment, it’s running businesses. A whopping 88% of UK tech leaders agree that AI will be crucial for business success in the next year. But hold on, because the ground beneath our feet is shaky.

Network outages and poor performance are costing organizations millions annually. A recent Expereo study found that a third of UK businesses lose up to £4 million a year due to these issues, with nearly one in five losing even more. These aren’t just IT hiccups; they’re multimillion-pound problems affecting growth, customer experience, and competitiveness.

The message is clear: act now. AI adoption is speeding up, but so are the consequences of inaction. Without robust digital foundations, even the most promising AI strategies will stumble.

As AI moves into customer-facing operations, the margin for error shrinks. Infrastructure must catch up, or risk becoming the barrier to transformation. AI adoption is fast, but infrastructure readiness is lagging behind. Half of UK organizations have had to re-evaluate their tech stack due to recent IT disruptions. Meanwhile, investment priorities have shifted, with networking and connectivity overtaking AI.

For too long, businesses have chased innovation without strengthening the foundations. That’s finally changing, but not a moment too soon.

The network is no longer background tech; it’s the frontline. None of AI’s data, models, or computing power is possible without real-time data movement, processing, and response – a capability that relies heavily on the network. Networks are no longer just support systems; they’re critical business performance enablers.

To close the infrastructure gap, CIOs must think beyond siloed upgrades. They need a unified digital fabric where data, connectivity, telemetry, automation, and orchestration work together. This platform-first mindset transforms networks from a cost center into an intelligent driver of customer experience, innovation, and digital business models.

But few businesses are ready to support AI without barriers. Only 5% of UK businesses believe their networks are fully prepared. Modern workloads demand intelligent, flexible, and resilient infrastructure that adapts to shifting demands, routes data efficiently, and protects sensitive flows.

The skills shortage is also acute. According to the research, 40% of organizations are struggling to hire or retain networking professionals, second only to cybersecurity. This is why over 40% of businesses plan to increase their reliance on external partners. But not all partners are equipped for AI-era environments.

CIOs must shift from transactional vendor relationships to strategic partnerships that bring technical depth, operational resilience, and a shared commitment to long-term transformation.

The AI conversation has elevated the CIO’s role. More than three-quarters of tech leaders report having greater visibility and influence at the board level. With greater visibility comes greater responsibility. CIOs must be realists and orchestrators of change, reshaping systems, partnerships, and governance models to make AI sustainable.

AI can’t thrive on hope alone. It needs structure, governance, and infrastructure that’s fit for purpose. The CIO’s job is to ensure these basics aren’t overlooked in the rush to deploy high-profile solutions.

In the end, the organizations that win the AI race won’t just be the most ambitious. They’ll be the ones that took the time to lay the groundwork first. So, CIOs, it’s time to reframe the conversation, shift attention from chasing AI outcomes to enabling them through resilient, scalable infrastructure. Because in the AI era, the most effective CIOs won’t just defend budgets or deliver infrastructure; they’ll shape how their organizations think, build, and grow.