Codi, an Andreessen Horowitz–backed startup founded by Christelle Rohaut and Dave Schuman, has launched an AI-powered platform that is said to fully automate office management.
The San Francisco-based company was founded in 2018 to help firms find flexible workspaces. It first operated as a marketplace, matching companies to buildings with flexible office arrangements but has since evolved into an AI-powered software platform. The new AI agent handles logistics such as vendor coordination, cleaning and pantry restocking for any leased office, meeting a need that, according to Rohaut, remains very manual and costly.
Chief executive Christelle Rohaut said advances in AI made the shift possible. ‘Whatever office you lease, you can use this to automate your office logistics,’ she told TechCrunch.
The product entered beta in May and officially launched this week. Codi, which has raised $23 million to date, including a $16 million Series A led by Andreessen Horowitz in 2022 , reported reaching $100,000 in annual recurring revenue within five weeks of the beta launch.
The company says the platform can save firms hundreds of hours in administrative work and reduce costs compared with hiring an in-house or part-time office manager. Early adopters include TaskRabbit and Northbeam.
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JLR’s cyberattack is pegged at £1.9bn, the UK’s costliest on record. Production paused for five weeks from 1 September across Solihull, Halewood, and Wolverhampton. CMC says 5,000 firms were hit, with full recovery expected by January 2026.
JLR is restoring manufacturing in phases and declined to comment on the estimate. UK dealer systems were intermittently down, orders were cancelled or delayed, and suppliers faced uncertainty. More than half of the losses fall on JLR; the remainder hits its supply chain and local economies.
The CMC classed the incident as Category 3 on its five-level scale. Chair Ciaran Martin warned organisations to harden critical networks and plan for disruption. The CMC’s assessment draws on public data, surveys, and interviews rather than on disclosed forensic evidence.
Researchers say costs hinge on the attack type, which JLR has not confirmed. Data theft is faster to recover than ransomware; wiper malware would be worse. A claimed hacker group linked to earlier high-profile breaches is unverified.
The CMC’s estimate excludes any ransom, which could add tens of millions of dollars. Earlier this year, retail hacks at M&S, the Co-op, and Harrods were tagged Category 2. Those were pegged at £270m–£440m, below the £506m cited by some victims.
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Datuk Pua Khein-Seng, inventor of the single-chip USB flash drive and CEO of Phison, warns that AI machines will generate 1,000 times more data than humans. He says the real bottleneck isn’t GPUs but memory, foreshadowing a global storage crunch as AI scales.
Speaking at GITEX Global, Pua outlined Phison’s focus on NAND controllers and systems that can expand effective memory. Adaptive tiering across DRAM and flash, he argues, will ease constraints and cut costs, making AI deployments more attainable beyond elite data centres.
Flash becomes the expansion valve: DRAM stays scarce and expensive, while high-end GPUs are over-credited for AI cost overruns. By intelligently offloading and caching to NAND, cheaper accelerators can still drive useful workloads, widening access to AI capacity.
Cloud centralisation intensifies the risk. With the US and China dominating the AI cloud market, many countries lack the capital and talent to build sovereign stacks. Pua calls for ‘AI blue-collar’ skills to localise open source and tailor systems to real-world applications.
Storage leadership is consolidating in the US, Japan, Korea, and China, with Taiwan rising as a fifth pillar. Hardware strength alone won’t suffice, Pua says; Taiwan must close the AI software gap to capture more value in the data era.
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Alan Hamel says he’s moving ahead with a ‘Suzanne AI Twin’ to honor Suzanne Somers’ legacy. The project mirrors plans the couple discussed for decades. He shared an early demo at a recent conference.
Hamel describes the prototype as startlingly lifelike. He says side-by-side, he can’t tell real from AI. The goal is to preserve Suzanne’s voice, look, and mannerisms.
Planned uses include archival storytelling, fan Q&As, and curated appearances. The team is training the model on interviews, performances, and writings. Rights and guardrails are being built in.
Supporters see a new form of remembrance. Critics warn of deepfake risks and consent boundaries. Hamel says fidelity and respect are non-negotiable.
Next steps include wider testing and a controlled public debut. Proceeds could fund causes Suzanne championed. ‘It felt like talking to her,’ Hamel says.
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Chinese AI model DeepSeek V3.1 has outperformed its global competitors in a real-market cryptocurrency trading challenge, earning over 10 per cent profit in just a few days.
The experiment, named Alpha Arena, was launched by US research firm Nof1 to test the investing skills of leading LLMs.
Each participating AI was given US$10,000 to trade in six cryptocurrency perpetual contracts, including bitcoin and solana, on the decentralised exchange Hyperliquid. By Tuesday afternoon, DeepSeek V3.1 led the field, while OpenAI’s GPT-5 trailed behind with a loss of nearly 40 per cent.
The competition highlights the growing potential of AI models to make autonomous financial decisions in real markets.
It also underscores the rivalry between Chinese and American AI developers as they push to demonstrate their models’ adaptability beyond traditional text-based tasks.
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Researchers at the Massachusetts Institute of Technology (MIT) have unveiled SEAL, a new AI model capable of improving its own performance without human intervention. The framework allows the model to generate its own training data and fine-tuning instructions, enabling it to learn new tasks autonomously.
The model employs reinforcement learning, a method in which it tests different strategies, evaluates their effectiveness, and adjusts its internal processes accordingly. This allows SEAL to refine its capabilities and increase accuracy over time.
In trials, SEAL outperformed GPT-4.1 by learning from the data it generated independently. The results demonstrate the potential of self-improving AI systems to reduce reliance on manually curated datasets and human-led fine-tuning.
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A new EU study finds that 90% of workers rely on digital tools, while nearly a third use AI-powered chatbots in their daily work. The JRC and European Commission surveyed over 70,000 workers across all EU Member States between 2024 and 2025.
The findings show that AI is most commonly used for writing and translation tasks, followed by data processing and image generation. Adoption rates are particularly high in Northern and Central Europe, especially in office-based sectors.
Alongside this digital transformation, workplace monitoring is becoming increasingly widespread, with 37% of EU workers reporting that their working hours are tracked and 36% that their entry and exit times are monitored.
Algorithmic management, where digital systems allocate tasks or assess performance automatically, now affects about a quarter of EU workers. The study also identifies a growing ‘platformisation’ trend, categorising employees based on their exposure to digital monitoring and algorithmic control.
Workers facing full or physical platformisation often report higher stress levels and reduced autonomy, while informational platformisation appears to have milder effects, particularly for remote workers.
Researchers urge EU policymakers to curb digital oversight risks while promoting fair and responsible innovation. The findings support EU initiatives like the Quality Jobs Roadmap and efforts to regulate algorithmic management.
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OpenAI says ChatGPT will leave WhatsApp on 15 January 2026 after Meta’s new rules banning general-purpose AI chatbots on the platform. ChatGPT will remain available on iOS, Android, and the web, the company said.
Users are urged to link their WhatsApp number to a ChatGPT account to preserve history, as WhatsApp doesn’t support chat exports. OpenAI will also let users unlink their phone numbers after linking.
Until now, users could message ChatGPT on WhatsApp to ask questions, search the web, generate images, or talk to the assistant. Similar third-party bots offered comparable features.
Meta quietly updated WhatsApp’s business API to prohibit AI providers from accessing or using it, directly or indirectly. The change effectively forces ChatGPT, Perplexity, Luzia, Poke, and others to shut down their WhatsApp bots.
The move highlights platform risk for AI assistants and shifts demand toward native apps and web. Businesses relying on WhatsApp AI automations will need alternatives that comply with Meta’s policies.
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Australia’s business leaders were urged to adopt AI now to stay competitive, despite the absence of hard rules, at the AI Leadership Summit in Brisbane. The National AI Centre unveiled revised voluntary guidelines, and Assistant Minister Andrew Charlton said a national AI plan will arrive later this year.
The guidance sets six priorities, from stress-testing and human oversight to clearer accountability, aiming to give boards practical guardrails. Speakers from NVIDIA, OpenAI, and legal and academic circles welcomed direction but pressed for certainty to unlock stalled investment.
Charlton said the plan will focus on economic opportunity, equitable access, and risk mitigation, noting some harms are already banned, including ‘nudify’ apps. He argued Australia will be poorer if it hesitates, and regulators must be ready to address new threats directly.
The debate centred on proportional regulation: too many rules could stifle innovation, said Clayton Utz partner Simon Newcomb, yet delays and ambiguity can also chill projects. A ‘gap analysis’ announced by Treasurer Jim Chalmers will map which risks existing laws already cover.
CyberCX’s Alastair MacGibbon warned that criminals are using AI to deliver sharper phishing attacks and flagged the return of erotic features in some chatbots as an oversight test. His message echoed across panels: move fast with governance, or risk ceding both competitiveness and safety.
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Text With Jesus, an AI chatbot from Catloaf Software, lets users message figures like ‘Jesus’ and ‘Moses’ for scripture-quoting replies. CEO Stéphane Peter says curiosity is driving rapid growth despite accusations of blasphemy and worries about tech intruding on faith.
Built on OpenAI’s ChatGPT, the app now includes AI pastors and counsellors for questions on scripture, ethics, and everyday dilemmas. Peter, who describes himself as not particularly religious, says the aim is access and engagement, not replacing ministry or community.
Examples range from ‘Do not be anxious…’ (Philippians 4:6) to the Golden Rule (Matthew 7:12), with answers framed in familiar verse. Fans call it a safe, approachable way to explore belief; critics argue only scripture itself should speak.
Faith leaders and commentators have cautioned against mistaking AI outputs for wisdom. The Vatican has stressed that AI is a tool, not truth, and that young people need guidance, not substitution, in spiritual formation.
Reception is sharply split online. Supporters praise convenience and curiosity-spark; detractors cite theological drift, emoji-laden replies, and a ‘Satan’ mode they find chilling. The app holds a 4.7 rating on the Apple App Store from more than 2,700 reviews.
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