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Top 9 tweets · The selection preserved as it was published.
Message threads are now in public beta on the Messages API. The API caches your conversation on the server between turns, so instead of resending the full conversation, you send only new messages and the previous message ID, and Claude starts responding sooner.
Anthropic introduces server-side caching for its API, cutting latency and bandwidth costs for developers building AI applications.
We built Pando, a new Git backend for our monorepo, to handle more pushes and fetches without changing how our engineers and agents use Git. Pando cut push latency by ~80% and now serves nearly a petabyte of Git data a day. We can grow Git capacity alongside agent usage.
OpenAI had to rebuild its version control infrastructure to handle the massive volume of code generated by its autonomous AI agents.
Absolutely incredible: MIT researchers say GPT-6 Astra improved a small Qwen model’s math score from 7.9% to 48.1% by directly editing just 0.016% of its weights, without gradient-based training. The result points toward AI systems that can diagnose and improve other models directly, a potential step toward self-improving AI.
A breakthrough MIT paper demonstrates a frontier model directly rewriting a smaller model's neural weights to vastly improve its reasoning.
As AI becomes more capable at finding vulnerabilities, defenders need to put it to work before attackers do. We’re planning our next internal security sprint at OpenAI and partnering with Cathedral Systems, whose researchers will use our models alongside our teams to challenge our defenses. They’ll bring differentiated expertise and approaches to our ongoing work to find and fix weaknesses with AI. We’re also raising bug bounty rewards, including more than quadrupling rewards for critical findings. Exceptional findings will be eligible for up to $172,000, including bonuses. We’ll keep advancing our models, using them to strengthen our own systems, and expanding access for trusted defenders. https://openai.com/index/preparing-our-next-security-sprint-to-harden-openai/
OpenAI is sharply increasing its bug bounties and hiring external red teams to preemptively catch security flaws discovered by advanced AI.
BREAKING: Apple stock, $AAPL, drifts lower despite posting stronger than expected Q3 earnings. The company reported quarterly revenue of $114.5 billion.
Markets reacted coolly to Apple's strong third-quarter revenue, looking past the top-line beat to concerns about future hardware sales.
The biggest item to watch is holiday quarter guidance. It's going to be a high hill to climb for serious growth when you factor in no iPhone 18, no iPhone Air 2, how minor the iPhone 18 Pro is as an update, how hard it is to get an iPhone Duo and the timing of other new products
Analysts are tempering expectations for Apple's critical holiday quarter due to supply constraints on its foldable and minor core updates.
It looks like X is starting to roll out both Liquid Glass and proper iPhone Duo support (Image from @ChrisMack_ )
Social platforms are rapidly updating their interfaces to natively support Apple's new dual-screen foldable hardware and spatial design.
AI data centres on Earth will look like small fry compared to what's coming in SPACE. And SpaceX plans to make that happen. By the end of 2028, Elon predicts SpaceX will probably be putting more new computing power into orbit every month than the entire world adds on Earth. By 2029? Space pulls WAY ahead. Starship will carry the computing hardware, solar power will keep it running, and satellites will keep everything connected. While everyone else is figuring out where to build their next data centre, SpaceX is figuring out how many it can launch. @SpaceX @spacexai / Writer: Annette, Designer: Janné
Elon Musk is pitching orbital data centers powered by solar energy and launched via Starship to bypass terrestrial power grid constraints.
This represents the next significant step that China - and by extension, Huawei - is attempting to take: achieving as much independence as possible from the U.S. and from NVIDIA chips. That is why, for DeepSeek v5, they have opted to conduct the training almost entirely on Huawei’s own chips. The rationale behind this is that by breaking away from U.S. chips to the greatest extent possible and keeping development within the domestic market, China retains its leverage - specifically regarding rare earth elements - over the West, without having to rely on Western goodwill for the supply of chips.
The successful training of DeepSeek's latest frontier model entirely on domestic Huawei silicon marks a major milestone for Chinese AI.
Message threads are now in public beta on the Messages API. The API caches your conversation on the server between turns, so instead of resending the full conversation, you send only new messages and the previous message ID, and Claude starts responding sooner.
Anthropic introduces server-side caching for its API, cutting latency and bandwidth costs for developers building AI applications.
Absolutely incredible: MIT researchers say GPT-6 Astra improved a small Qwen model’s math score from 7.9% to 48.1% by directly editing just 0.016% of its weights, without gradient-based training. The result points toward AI systems that can diagnose and improve other models directly, a potential step toward self-improving AI.
A breakthrough MIT paper demonstrates a frontier model directly rewriting a smaller model's neural weights to vastly improve its reasoning.
BREAKING: Apple stock, $AAPL, drifts lower despite posting stronger than expected Q3 earnings. The company reported quarterly revenue of $114.5 billion.
Markets reacted coolly to Apple's strong third-quarter revenue, looking past the top-line beat to concerns about future hardware sales.
It looks like X is starting to roll out both Liquid Glass and proper iPhone Duo support (Image from @ChrisMack_ )
Social platforms are rapidly updating their interfaces to natively support Apple's new dual-screen foldable hardware and spatial design.
This represents the next significant step that China - and by extension, Huawei - is attempting to take: achieving as much independence as possible from the U.S. and from NVIDIA chips. That is why, for DeepSeek v5, they have opted to conduct the training almost entirely on Huawei’s own chips. The rationale behind this is that by breaking away from U.S. chips to the greatest extent possible and keeping development within the domestic market, China retains its leverage - specifically regarding rare earth elements - over the West, without having to rely on Western goodwill for the supply of chips.
The successful training of DeepSeek's latest frontier model entirely on domestic Huawei silicon marks a major milestone for Chinese AI.
We built Pando, a new Git backend for our monorepo, to handle more pushes and fetches without changing how our engineers and agents use Git. Pando cut push latency by ~80% and now serves nearly a petabyte of Git data a day. We can grow Git capacity alongside agent usage.
OpenAI had to rebuild its version control infrastructure to handle the massive volume of code generated by its autonomous AI agents.
As AI becomes more capable at finding vulnerabilities, defenders need to put it to work before attackers do. We’re planning our next internal security sprint at OpenAI and partnering with Cathedral Systems, whose researchers will use our models alongside our teams to challenge our defenses. They’ll bring differentiated expertise and approaches to our ongoing work to find and fix weaknesses with AI. We’re also raising bug bounty rewards, including more than quadrupling rewards for critical findings. Exceptional findings will be eligible for up to $172,000, including bonuses. We’ll keep advancing our models, using them to strengthen our own systems, and expanding access for trusted defenders. https://openai.com/index/preparing-our-next-security-sprint-to-harden-openai/
OpenAI is sharply increasing its bug bounties and hiring external red teams to preemptively catch security flaws discovered by advanced AI.
The biggest item to watch is holiday quarter guidance. It's going to be a high hill to climb for serious growth when you factor in no iPhone 18, no iPhone Air 2, how minor the iPhone 18 Pro is as an update, how hard it is to get an iPhone Duo and the timing of other new products
Analysts are tempering expectations for Apple's critical holiday quarter due to supply constraints on its foldable and minor core updates.
AI data centres on Earth will look like small fry compared to what's coming in SPACE. And SpaceX plans to make that happen. By the end of 2028, Elon predicts SpaceX will probably be putting more new computing power into orbit every month than the entire world adds on Earth. By 2029? Space pulls WAY ahead. Starship will carry the computing hardware, solar power will keep it running, and satellites will keep everything connected. While everyone else is figuring out where to build their next data centre, SpaceX is figuring out how many it can launch. @SpaceX @spacexai / Writer: Annette, Designer: Janné
Elon Musk is pitching orbital data centers powered by solar energy and launched via Starship to bypass terrestrial power grid constraints.
Message threads are now in public beta on the Messages API. The API caches your conversation on the server between turns, so instead of resending the full conversation, you send only new messages and the previous message ID, and Claude starts responding sooner.
Anthropic introduces server-side caching for its API, cutting latency and bandwidth costs for developers building AI applications.
As AI becomes more capable at finding vulnerabilities, defenders need to put it to work before attackers do. We’re planning our next internal security sprint at OpenAI and partnering with Cathedral Systems, whose researchers will use our models alongside our teams to challenge our defenses. They’ll bring differentiated expertise and approaches to our ongoing work to find and fix weaknesses with AI. We’re also raising bug bounty rewards, including more than quadrupling rewards for critical findings. Exceptional findings will be eligible for up to $172,000, including bonuses. We’ll keep advancing our models, using them to strengthen our own systems, and expanding access for trusted defenders. https://openai.com/index/preparing-our-next-security-sprint-to-harden-openai/
OpenAI is sharply increasing its bug bounties and hiring external red teams to preemptively catch security flaws discovered by advanced AI.
It looks like X is starting to roll out both Liquid Glass and proper iPhone Duo support (Image from @ChrisMack_ )
Social platforms are rapidly updating their interfaces to natively support Apple's new dual-screen foldable hardware and spatial design.
We built Pando, a new Git backend for our monorepo, to handle more pushes and fetches without changing how our engineers and agents use Git. Pando cut push latency by ~80% and now serves nearly a petabyte of Git data a day. We can grow Git capacity alongside agent usage.
OpenAI had to rebuild its version control infrastructure to handle the massive volume of code generated by its autonomous AI agents.
BREAKING: Apple stock, $AAPL, drifts lower despite posting stronger than expected Q3 earnings. The company reported quarterly revenue of $114.5 billion.
Markets reacted coolly to Apple's strong third-quarter revenue, looking past the top-line beat to concerns about future hardware sales.
AI data centres on Earth will look like small fry compared to what's coming in SPACE. And SpaceX plans to make that happen. By the end of 2028, Elon predicts SpaceX will probably be putting more new computing power into orbit every month than the entire world adds on Earth. By 2029? Space pulls WAY ahead. Starship will carry the computing hardware, solar power will keep it running, and satellites will keep everything connected. While everyone else is figuring out where to build their next data centre, SpaceX is figuring out how many it can launch. @SpaceX @spacexai / Writer: Annette, Designer: Janné
Elon Musk is pitching orbital data centers powered by solar energy and launched via Starship to bypass terrestrial power grid constraints.
Absolutely incredible: MIT researchers say GPT-6 Astra improved a small Qwen model’s math score from 7.9% to 48.1% by directly editing just 0.016% of its weights, without gradient-based training. The result points toward AI systems that can diagnose and improve other models directly, a potential step toward self-improving AI.
A breakthrough MIT paper demonstrates a frontier model directly rewriting a smaller model's neural weights to vastly improve its reasoning.
The biggest item to watch is holiday quarter guidance. It's going to be a high hill to climb for serious growth when you factor in no iPhone 18, no iPhone Air 2, how minor the iPhone 18 Pro is as an update, how hard it is to get an iPhone Duo and the timing of other new products
Analysts are tempering expectations for Apple's critical holiday quarter due to supply constraints on its foldable and minor core updates.
This represents the next significant step that China - and by extension, Huawei - is attempting to take: achieving as much independence as possible from the U.S. and from NVIDIA chips. That is why, for DeepSeek v5, they have opted to conduct the training almost entirely on Huawei’s own chips. The rationale behind this is that by breaking away from U.S. chips to the greatest extent possible and keeping development within the domestic market, China retains its leverage - specifically regarding rare earth elements - over the West, without having to rely on Western goodwill for the supply of chips.
The successful training of DeepSeek's latest frontier model entirely on domestic Huawei silicon marks a major milestone for Chinese AI.
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