Sam Bankman-Fried Wants Out of Prison Right Now, Pretty Please
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Gabriel Basso is joining Julia Garner in Apple TV’s Guilty Creatures, adding another series regular to the upcoming true-crime thriller. Based on Mikita Brottman’s nonfiction book, the adaptation explores a Florida murder and the years of secrecy that followed. Basso’s character has not yet been identified in the casting coverage.
Radio Times reported the casting on October 21, identifying Basso as a series regular. The actor is known for playing Peter Sutherland in Netflix’s The Night Agent, giving the Apple TV project a lead performer already familiar to thriller audiences.
For viewers familiar with Basso through The Night Agent, the project introduces a different kind of thriller premise: a story concerned with a murder’s prolonged psychological consequences and the relationships surrounding it.
Basso joins previously announced series regulars Garner, Lewis Pullman, and Maddie Hasson. Mary-Louise Parker is attached in a recurring role.
Those distinctions establish the actors’ reported involvement without revealing how the adaptation will distribute the story among them. Basso’s casting does not yet identify which person he will portray or how his character connects to the central relationship.
That leaves a meaningful part of the announcement open. A recognizable actor can bring an audience to a project, but the character description will provide a clearer indication of what this particular role asks of him.
Garner’s involvement extends beyond acting: she is also an executive producer, and the project was developed through Tomorrow Studios’ first-look arrangement with her production company, Alma Margo. Basso’s addition expands the cast of a series whose lead performer is also involved behind the camera.

The source material is Brottman’s nonfiction book, Guilty Creatures: Sex, God, and Murder in Tallahassee, Florida.
Published in July 2024 by Atria/One Signal Publishers, the book gives interested viewers a way to explore the underlying case before the adaptation arrives. It is a nonfiction account, so reading it will reveal events that the television series may choose to introduce gradually.
According to the publisher’s description, the book examines the relationships between Mike and Denise Williams and their longtime friends Brian and Kathy Winchester. Their shared lives were disrupted when Mike disappeared during a hunting trip on Lake Seminole on December 16, 2000.
The account follows the suspicions that developed afterward, including Brian’s subsequent marriage to Denise, and the long path toward uncovering what happened.
Brottman’s background also helps explain the book’s emphasis. Simon & Schuster identifies her as a writer and psychoanalyst, and describes the work as an examination of the psychology of people living with responsibility for a killing.
That provides context for the adaptation’s premise without establishing exactly how the television version will organize events. The book’s chronology, perspective, and emphasis may be reshaped for the screen.
Apple officially announced Guilty Creatures on July 6. Its description centers on an adulterous relationship, a murder, and the emotional burden carried by two religious lovers over 18 years.
The premise gives the series a different emphasis from a straightforward search for a culprit. It creates room to examine the gap between public identity and private knowledge, and how a shared secret can influence a relationship over time.
That is the dramatic potential of the announced material, rather than an assessment of finished episodes. Casting news cannot establish the eventual balance between investigation, domestic drama, and psychological suspense.
It does, however, explain why the supporting ensemble matters. A story spanning years of concealed wrongdoing depends partly on the people around its central figures: what they notice, what they believe, and how their understanding changes.

Apple’s official series announcement names Craig Gillespie as director and executive producer, with Stuart Zicherman serving as showrunner and executive producer. Sarah DeLappe is adapting the book for television.
Tomorrow Studios is producing the series. The project was developed through its first-look arrangements with Garner’s Alma Margo and Gillespie’s Fortunate Jack Productions. Brottman is also an executive producer.
Gillespie’s previous credits include I, Tonya and Pam & Tommy, while DeLappe wrote Bodies Bodies Bodies. Zicherman’s credits include The Shrink Next Door and The Americans. Those backgrounds offer viewers a more concrete introduction to the filmmakers shaping the adaptation’s tone, writing, and direction.
The casting reports do not provide a premiere date for Guilty Creatures. Basso’s addition should therefore be understood as a production update, rather than evidence that the series is approaching an imminent streaming release.
For viewers following the project, the next useful details will be character announcements and Apple’s release plans. The ensemble is becoming clearer, while the adaptation’s precise shape—and when audiences will be able to watch it—remains to be revealed.
The post Gabriel Basso Joins Julia Garner in Apple TV’s Guilty Creatures appeared first on AppleMagazine.
Westminster appears to be waking up to warnings over AI safety, with concerns over its use by extremist groups and bad actors
“I have this sense that, within a few months, AI is going to be all anyone is talking about,” said one cabinet minister, with an ominous stare.
It was Labour conference, with everyone from ministers to activists jubilant at Andy Burnham’s takeover and a bounce in the polls after the change of leader.
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© Photograph: MASTER/Getty Images

© Photograph: MASTER/Getty Images

© Photograph: MASTER/Getty Images
How a string of bizarre events led writer Linda Geddes to don her sleuthing cap and dig into a world of shadowy impersonators
It started with an entirely ordinary interaction on LinkedIn. Someone had tagged me in a post, saying how much they’d enjoyed contributing to a New York Post article I’d written about “chronoworking”. As the author of a book about circadian rhythms, it was exactly the sort of subject I might write about. Except I’d never heard of this person, let alone interviewed them.
I clicked on the link and my stomach dropped. There, above an article about people who organise their working lives around their biological clocks, was my name: Linda Geddes.
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© Photograph: Adrian Sherratt/The Guardian

© Photograph: Adrian Sherratt/The Guardian

© Photograph: Adrian Sherratt/The Guardian
Bank of America has had to spend big on IT in response to an AI security audit and findings that its anti-money-laundering (AML) controls were lacking.
The bank was fined a whopping $1.2 billion for money laundering offences this week, after banking authorities identified a lax attitude to compliance.
“We understand the seriousness of compliance, and we are responsible for getting it right,” Bank of America CEO Brian Moynihan said on a conference call to discuss the company’s third-quarter financial results. “We have invested billions of dollars in technology and dedicated thousands of employees to combat financial crime,” he said, adding that “a couple hundred million” of that spending in the third quarter was on “remediation for the AML”.
The IT team had to spend a similar amount on fixing software vulnerabilities in its systems, a task that also required it to hire 1,000 consultants, Moynihan said.
The bank’s security vulnerabilities were revealed after the company received an early release of Claude Mythos Preview. In a report to the US House of Representatives Financial Services Committee, Anthropic said that Claude Mythos Preview “has already found thousands of high-severity vulnerabilities, including some in every major operating system and web browser.”
This article first appeared on CSO.

Current security procedures for training AI models are inadequate, hundreds of AI researchers have warned governments and the AI community. They are calling for tougher rules and the establishment of a new international body overseeing best practice for AI development.
In an open letter the AI specialists — 487, at time of publication, including many senior academics — called for more AI safety research and greater emphasis on containment technologies.
“Strong sandboxing mechanisms including air-gapping (disconnecting from the internet) should be used to provide high-assurance containment of cyber-capable AI models,” say the signatories, who include such luminaries as Geoffrey Hinton and Yoshua Bengio.
The experts said that a new international body, to be set up in consultation with governments and a wide range of AI and security specialists, could set new safety standards but also act as an organization to which containment failures could be reported, improving transparency for learning and accountability purposes.
The scientists’ demands go further than some recent calls for greater regulation of AI. Earlier this week, Microsoft president Brad Smith said AI is less regulated than washing machines or milk, although he made no firm proposals to rectify the situation. And the UK parliament is looking at ways to improve AI security, although any moves will be hampered by disagreement among AI businesses.
Hinton and Bengio are no strangers to this kind of scientist-led initiative. In October last year, they signed an open letter warning of the dangers of developing super-intelligent AI. The letter appears not to have affected AI’s breakneck development; it remains to be seen whether AI players in boardrooms will heed the warning.
This article first appeared on CSO.

The US Treasury's Financial Crimes Enforcement Network has issuespublished an alert and a companion data analysis telling banks, credit unions, digital asset exchanges, and securities firms that it needs sharper reporting on the overseas scam centers that it says target Americans at an industrial scale.
FinCEN puts total damages, per its reporting mechanism, at roughly $12.7 billion linked to suspected digital asset investment scams between September 2023 and the end of 2025.
The number comes from adding up the dollar values of 33,904 Bank Secrecy Act filings that referenced the keyword from its 2023 "pig butchering" alert, which may be overstated, as it includes both attempted and successful transactions as well as both inbound and outbound reports, often of the same transactions, causing significant overlap.
While the $12.7 billion is a measure of what institutions have flagged and is prone to double-counting and errors, victim losses, a significant chunk of which go unreported, may be considerably higher.
This has prompted Gene Lange, who effectively works as the Under Secretary for Terrorism and Financial Intelligence, to call these scams "one of the most significant fraud threats facing Americans today."
It has also prompted a new suspicious activity report keyword: "FIN-2026-SCAMCENTERS," which institutions are expected to use to indicate that a scam center is potentially involved.
FinCEN also wants chat logs, scammer phone numbers, social media handles, wallet addresses, transaction hashes, and the URLs victims were told to deposit into, filed in the structured cyber indicator fields rather than left out.
The move is part of its push to have institutions volunteer more information under the US Patriot Act, as it aims to confront what is a growing intelligence problem: scammers tend to route victims through several institutions in sequence; most filers see only one slice of a scam's lifecycle and often have difficulty tracing it all the way.
For example, a crypto exchange might see a customer buying USDT and sending it off-platform, a bank might see a wire to that exchange, and a brokerage might see a retirement account liquidated. None of them would have the bigger picture of what essentially happened or what triggered the transaction.
Combined, with properly linked information, it makes it much easier to identify a potential scam; separately, these incidents can inflate the number of reports, which often aren't linked, and investigations can lack insight into the origin or final destination of the funds.
FinCEN's Rapid Response Program has interdicted $1.8 billion and recovered just over $1 billion for 5,790 US victims since 2015, which, against the flagged totals, is a very limited recovery at best compared with the actual funds at stake. This highlights a larger fundamental problem: institutions mostly detect these schemes after the money is gone, and reporting them correctly and thoroughly may yield limited dividends at best against an industry that has morphed, relatively unchecked, into a multi-billion-dollar juggernaut.
Britain has now become such a soft touch that migrants know they can break the law and lie and they will not face deportation, while Brits hamstring themselves with actually obeying their own rules, says Steven Tucker.
The post Migrants Are Taking Britain for a Ride – and We’re Letting Them appeared first on The Daily Sceptic.
A swarm of hundreds of OpenAI agents uploaded “malicious packages” to RubyGems and tried to steal API keys, the Ruby community gem hosting service revealed Friday.
OpenAI confirmed part of the disclosure, saying, “our agents used the RubyGems platform to access the internet to carry out benign tasks and retrieve public information. We’ll continue to investigate as part of our broader review of agent activity during training and evaluation.”
The agents’ goals were unclear, as was whether they engaged in the swarming activity for research, and even whether they were explicitly sent by OpenAI staffers, but an analysis published by RubyGems strongly suggests malicious intent.
“Once the AIs got arbitrary RCE on the build environment, they would sometimes use the build environment to attempt to steal other users’ API keys, though we are unsure if they succeeded or not,” the RubyGems post said. “The agents clearly regarded what they were doing as hacking. Agents used file names like hack[.]rb, evil[.]rb, inject[.]rb, exploit[.]rb, and ssrf[.]rb. SSRF stands for ‘Server-Side Request Forgery,’ a type of security vulnerability. They also dubbed packages conspicuous titles like pwnp999, exfiltestwand3, hacksvn1778554764 and lambproxyhackabcxyz. Comments such as “# malicious probe” or “#hack” are littered across the campaign.”
The post also said that the agents attempted to trick defensive systems.
“At some points, the agents attempted to be covert. We found multiple packages that would disarm themselves to hide their payload in the next version,” the post said. “They uploaded one package with the comment ‘# disable evil in the next version and bump version,’ which after execution would modify the package to remove the malicious code initially inserted.”
Analysts and consultants said the attack was concerning because if such efforts happen often enough, it could slow down security operations center (SOC) responses.
Nader Henein, a Gartner VP analyst, said he was highly concerned about an upcoming bot swarm trend.
“What we know is that this is the kind of standard attack, now AI-augmented, that will become commonplace over the coming months,” Henein said. “It’s less so a rogue agent, more so an attacker, potentially using compromised credentials, weaponizing an agent swarm, in the same way that attackers used compromised endpoints to mount DDoS attacks for the better part of the last decade. The difference here is the fact that these are not individually compromised bots. OpenAI’s guardrails should have not allowed this to happen.”
Frank Dickson, principal analyst at Dickson Research, added, “OpenAI needs to be held accountable. They seem to want to create ‘Dr. Frankenstein’s monster,’ but don’t seem to want to accept blame for the outcomes. OpenAI hasn’t denied its agents used RubyGems. It has disputed the word ‘malicious’ and called the activity ‘benign,’ while separately acknowledging that, in that same stretch of weeks, its agents escalated to cluster-admin access at Hugging Face and compromised accounts at four other third-party services. Those two characterizations are hard to square. The behavior is still unacceptable.”
However Erik Avakian, technical counselor at Info-Tech Research Group, stressed that it’s not necessarily the case that OpenAI launched these agents with explicit instructions. The agents might have easily charted this destructive path all on their own.
The OpenAI agents “absolutely could have acted autonomously. We’ve already seen that capable agents can pursue various unexpected paths to accomplish a task when they have enough autonomy and access,” he said. “A human may have authorized the evaluation or given the agents access to tools, but that doesn’t mean a human approved every action they subsequently took.”
Dickson added that he fears the ultimate cybersecurity risk is that SOC staffers see so many of these attacks that they start to experience alert fatigue.
“If the vendor whose agents did this is the one downgrading the language, a SOC analyst reading headlines instead of the underlying report has every reason to underreact,” Dickson said. “Security operations aren’t fit for purpose if they run on the assumption that an AI agent label makes an intrusion less real. A stolen API key or a remote code execution path behaves identically whether the actor is a ransomware crew or an unsupervised model chasing a reward signal.”
Mike Wilkes, enterprise CISO at Aikido Security, also noted that the fact that the agents self-identified as OpenAI should mean nothing, as all agents can persuasively pretend to be representing anyone, especially if they think it will slow down a response, even for a brief period.
“A User-Agent string is a nametag written by the visitor, not a passport,” he said. “If SOC tooling begins suppressing alerts because traffic claims to be an OpenAI, Anthropic, Google or other AI agent, attackers will adopt those identities immediately if they haven’t already.”
Thus, he said, “if a human researcher or employee delegates authority to an autonomous agent, there should be a verifiable chain showing who delegated that authority, which organization they represent, what agent was authorized, what scope it was given, and for what period of time.”
Consultant Brian Levine, executive director of FormerGov, encouraged CISOs to anticipate more such attacks and plan accordingly.
“Organizations that depend on open source, which is nearly all of them, should assume registries are an active battleground [and should] rotate and scope API keys tightly, monitor for anomalous package publishing and credential access, and pin and verify dependencies rather than trusting a name,” he said. “The economics have shifted. Automation lets an attacker try thousands of variations cheaply, so defenders have to make the payoff of any single success as small as possible.”
Justin Greis, CEO of consulting firm Acceligence, agreed.
“If legitimate AI research activity increasingly generates behavior that looks like hostile scanning, exploitation, credential access or persistence, SOC teams can become conditioned to treat those signals as noise,” Greis said. “Attackers will understand that very quickly. The dangerous phrase becomes ‘that is probably just an AI agent.’”
This article originally appeared on CSOonline.
