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Daredevil: Born Again’s Huge ‘Death’ Clarified by Vincent D’Onofrio & EPs

Daredevil: Born Again’s Huge ‘Death’ Clarified by Vincent D’Onofrio & EPs

Episode 4 of Daredevil: Born Again left fans with one burning question. The people behind the show are not making the answer any easier. Vincent D’Onofrio and the executive producers weighed in on the fallout, and Kingpin’s world may never look the same again.

Vincent D’Onofrio and Daredevil: Born Again EPs weigh in on Episode 4’s ending

Daredevil: Born Again, Season 2, Episode 4 ends with Kingpin’s wife, Vanessa Fisk, brutally attacked, with her fate left ambiguous.

Vincent D’Onofrio, who has portrayed Wilson Fisk since 2015, confirmed the attack will fuel Fisk’s rage going forward. D’Onofrio told Screen Rant: “It’s going to add in a major way to his rage. And the more they do and the resistance to topple my regime, I think the more he wants to get rid of all of them, every one of them.”

D’Onofrio, who has played the role across both the Netflix era and the MCU, elaborated on Fisk’s mental state: “I think what’s happened with Vanessa has rocked him in a way where he’s different than he’s ever been before. He’s not thinking completely clear.” Ayelet Zurer has played Vanessa since the original Netflix Daredevil series in 2015.

D’Onofrio further confirmed the event’s impact extends beyond Season 2, stating: “The repercussions of her death and what it’s done to him begins the third season.” Executive producer Sana Amanat, however, responded to Vanessa’s fate with a pointed: “Or is it?” leaving her survival uncertain.

Showrunner Dario Scardapane addressed how the event reshapes Fisk’s character: “There’s no checks and balances now. What humanized this lonely, scary man, at least in one way isn’t there anymore. So all bets are off.” Amanat also teased that the direction Fisk takes will surprise audiences, saying: “I think everyone will be surprised about where we take this.”

Scardapane added: “I think people expect it to be rage,” while also hinting that Episode 5 delivers something new: “Episode five is something… something new under the sun.”

Season 2 still has four episodes left, with the finale arriving on Disney+ on May 5, 2026. The show returns for Season 3 in March 2027, with production having begun in March 2026.

Originally reported by Anubhav Chaudhry on SuperHeroHype.com.

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I can’t help rooting for tiny open source AI model maker Arcee | TechCrunch<div> <p id="speakable-summary" class="wp-block-paragraph"><a href="https://www.arcee.ai/" target="_blank" rel="noreferrer noopener nofollow">Arcee</a>, a tiny 26-person U.S. startup that built a massive, 400B-parameter open source LLM on <a href="https://techcrunch.com/2026/01/28/tiny-startup-arcee-ai-built-a-400b-open-source-llm-from-scratch-to-best-metas-llama/">a $20 million shoestring budget</a>, has released its new reasoning model. Arcee calls the model Trinity Large Thinking — and it’s the most capable open-weight model “ever released by a non-Chinese company,” claims CEO Mark McQuade to TechCrunch.</p> <p class="wp-block-paragraph">As that comment implies, Arcee has a goal that I can’t help but root for: It wants to give U.S. and Western companies a model that gives them no reason to use a Chinese-based one.</p> <p class="wp-block-paragraph">While Chinese models are extremely capable, they are <a href="https://cepa.org/article/the-ai-kill-switch-dangerous-chinese-open-source/" target="_blank" rel="noreferrer noopener nofollow">perceived as risky</a>, putting power, and perhaps data, into the hands of a government that doesn’t share all of the Western world’s ideals.</p> <p class="wp-block-paragraph">With Arcee, companies can download the model, train it to their own needs, and use it on premises. Companies can also use Arcee’s cloud-hosted version, accessible via API.</p> <p class="wp-block-paragraph">While Arcee’s models are not outperforming the closed source models from the big labs like Anthropic or OpenAI, they’re not being held hostage by the whims of those giants, either. </p> <p class="wp-block-paragraph">For instance, Claude, with its exceptional abilities to code, has been a popular choice for users of open source AI agent tool OpenClaw. But Anthropic pulled the rug out from them last week when it told users that their Anthropic subscriptions <a href="https://techcrunch.com/2026/04/04/anthropic-says-claude-code-subscribers-will-need-to-pay-extra-for-openclaw-support/">will no longer cover OpenClaw usage</a> — they will have to pay additionally for that. (In February, OpenClaw creator Peter Steinberger said he was <a href="https://techcrunch.com/2026/02/15/openclaw-creator-peter-steinberger-joins-openai/">joining Anthropic’s biggest rival, OpenAI</a>.)</p> <p class="wp-block-paragraph">In contrast, McQuade proudly points to <a href="https://openrouter.ai/apps/openclaw" target="_blank" rel="noreferrer noopener nofollow">data from OpenRouter</a> that says it has become one of the top models used with OpenClaw.</p> <div class="wp-block-techcrunch-inline-cta"> <div class="inline-cta__wrapper"> <p>Techcrunch event</p> <div class="inline-cta__content"> <p> <span class="inline-cta__location">San Francisco, CA</span> <span class="inline-cta__separator">|</span> <span class="inline-cta__date">October 13-15, 2026</span> </p> </div> </div> </div> <p class="wp-block-paragraph">So, how good is Trinity Large Thinking? It is comparable to some of the other top open source models, according to the benchmark results it shared with TechCrunch.</p> <figure class="wp-block-image size-large"><img loading="lazy" decoding="async" height="383" width="680" src="https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?w=680" alt="Arcee Trinity large thinking Benchmarks" class="wp-image-3110273" srcset="https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg 2400w, https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?resize=150,84 150w, https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?resize=300,169 300w, https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?resize=768,432 768w, https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?resize=680,383 680w, https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?resize=1200,675 1200w, https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?resize=1280,720 1280w, https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?resize=430,242 430w, https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?resize=720,405 720w, https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?resize=900,506 900w, https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?resize=800,450 800w, https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?resize=1536,864 1536w, https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?resize=2048,1152 2048w, https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?resize=668,375 668w, https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?resize=1097,617 1097w, https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?resize=708,398 708w, https://techcrunch.com/wp-content/uploads/2026/04/Arcee.-Trinity-large-thinking-benchmark1.jpeg?resize=50,28 50w" sizes="auto, (max-width: 680px) 100vw, 680px"/><figcaption class="wp-element-caption"><span class="wp-element-caption__text">Arcee Trinity large thinking Benchmarks</span><span class="wp-block-image__credits"><strong>Image Credits:</strong>Arcee / Arcee</span></figcaption></figure> <p class="wp-block-paragraph"><a href="https://techcrunch.com/2026/01/28/tiny-startup-arcee-ai-built-a-400b-open-source-llm-from-scratch-to-best-metas-llama/">As we previously reported</a>, it is not a head-to-head threat to the big cheese among U.S.-built open models: Meta’s Llama 4. But it also doesn’t have the odd, not-really <a href="https://opensource.org/blog/metas-llama-license-is-still-not-open-source" target="_blank" rel="noreferrer noopener nofollow">open source license issues</a> of Meta’s model. All of Arcee’s Trinity models are released under the gold standard for OS licenses, Apache 2.0.</p> <p class="wp-block-paragraph">Just to be clear, there are also countless other U.S. startups offering open source models and, as a fan of the ingenuity of startups, I’m rooting for them, too.</p> </div>#rooting #tiny #open #source #model #maker #Arcee #TechCrunchArcee AI,chinese ai,open source ai

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