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Time	Author	Post	Category	Why Relevant
2026-02-23T21:38	@jeremyphoward	An enormous amount of the work in all commercial AI labs comes from open source software. E.g the original LLM, ULMFiT, was open source, and led to the creation of GPT at OpenAI, where the Anthropic founding team was working at the time. Innovation happens through open research https://t.co/OGcLLYg...	Frontier Models Proprietary Frontier	Discusses how open-source foundational work (ULMFiT) influenced proprietary frontier model development (GPT/Claude) and the role of open research in commercial AI lab innovation.
2026-02-23T21:38	@zephyr_z9	RT @yoavgo: if 16M interactions with black box access are enough to meaningfully distill Claude, then these chinese folk have some amazing…	Geopolitics & Policy Export Controls	Discusses Chinese labs distilling frontier models (Claude) with black-box access, raising geopolitical and IP concerns related to model distillation and potential export control implications.
2026-02-23T21:34	@inafried	RT @GergelyOrosz: Anthropic scrapes copyrighted materials online; creates a model that they charge $$ for; doesn’t compensate for use - app…	Geopolitics & Policy Export Controls	Discussion of Anthropic's IP/copyrighted material scraping practices raises policy and competitive intelligence concerns relevant to frontier model economics.
2026-02-23T21:34	@fly51fly	[LG] The Geometry of Noise: Why Diffusion Models Don't Need Noise Conditioning M Sahraee-Ardakan, M Delbracio, P Milanfar [Google] (2026) https://t.co/PEEjXioo2N https://t.co/ebBy7GmmhA	Research Frontiers Learning Paradigms	Google research on diffusion model noise conditioning represents frontier modeling research.
2026-02-23T21:34	@DanielleFong	RT @MindaMyers: What Minda's Researching, from Feb 22 - Mar 1, 2026 1. Agentic & Multiagentic system design 2. Analysis of Moltbook interac…	Agents & Autonomy Agent Architectures	Research focus on agentic and multi-agentic system design directly addresses agent architecture frontiers.
2026-02-23T21:33	@rcolvile	RT @hosseeb: This is huge. Anthropic has been getting mass-farmed by Chinese Labs across tens of thousands of accounts to use for distill…	Geopolitics & Policy Export Controls	Chinese labs systematically distilling Anthropic models via farming accounts represents geopolitical IP extraction and export control violation concern.
2026-02-23T21:31	@patio11	Sufficiently intelligent agents can calculate rather easily how many transactions they could tolerate losing to optimize for payment costs, and they will conclude that's low percentage unless they're selling something with razor thin margins. ↩ reply parent	Agents & Autonomy Agent Economics	Discusses agentic negotiation behavior and economic trade-offs in transaction processing, directly relevant to agent economics.
2026-02-23T21:30	@ying11231	RT @nvidia: New benchmarks from @lmsysorg show NVIDIA Blackwell Ultra GB300 racks raising the bar for long-context #opensource inference ac…	Hardware Platforms Gpu Platforms	Discusses NVIDIA Blackwell GB300 inference benchmarks from LMSYS, directly relevant to GPU platforms and inference performance.
2026-02-23T21:30	@Dr_Singularity	$600B–$1T is going into data center and compute buildout this year. People think this is a huge investment, a bubble. The compute (scale) we’re currently building is a joke. A total joke. That’s how we’ll look at it in 2030. It will grow enormously every year from now on. Today’s numbers will loo...	AI Economics Capex Margins	Substantive discussion of data center capex scaling trends and compute buildout economics over the next decade.
2026-02-23T21:30	@patio11	An open question, if you have an agent aggressively negotiate to recover payment costs, is whether it has lower transaction volume as a result of that negotiation. Perhaps counterparty doesn't understand or agree; perhaps friction just kills the deals. ↩ reply parent	Agents & Autonomy Agent Economics	Continues discussion of agent negotiation behavior and its economic impact on transaction volumes.
2026-02-23T21:30	@vmwarevcf	Enable GPU-enabled resources with VMware Cloud Foundation Automation to support secure, self-service AI workloads within your private cloud. https://t.co/BTuVxdWQXk https://t.co/I9AAXxHQPQ	Data Center Infra Ai Dc Architecture	Discusses VMware's GPU-enabled infrastructure for enterprise AI workloads in private cloud environments.
2026-02-23T21:29	@ying11231	RT @lmsysorg: Glad to collaborate with the @nvidia team on this! 👋 For the full technical deep-dive, check out our latest blog co-authored…	Inference Stack Inference Architecture	Announces NVIDIA/LMSYS collaboration on inference benchmarks and technical research.
2026-02-23T21:29	@patio11	Very few humans have a negotiation about the negotiation, and most businesses serving humans choose to support as many of the colors of plastic as they can. But plausibly with infinite cognition you have many more negotiations. ↩ reply parent	Agents & Autonomy Agent Architectures	Discusses negotiation complexity scaling with agent cognition and multi-agent interaction patterns.
2026-02-23T21:29	@sebkrier	RT @ben_golub: Citrini spent >100 hrs on his viral AI doomfic. @RefineInk did about 6 hours of reasoning in about 16 minutes to produce a…	Frontier Models Capability Domains	Compares frontier model reasoning capabilities (extended thinking) for content generation workloads.
2026-02-23T21:28	@dialpad	RKO FY27 was about unlocking what holds up in real work. AI is not about the demo anymore. It's about what stands up in production. We are focused, aligned, and built for what comes next. #RKO #Dialpad #AIinProduction https://t.co/rkNUzPqtXN	Vertical Apps Enterprise Software	Discusses Dialpad's enterprise AI production focus and shift from demos to real-world workloads.
2026-02-23T21:28	@Dorialexander	don’t know what the fuss is about: in the end they really did fix model alignment. https://t.co/DZkItfwl7W	Frontier Models Capability Domains	Post discusses model alignment improvements, a capability domain relevant to frontier model development.
2026-02-23T21:28	@patio11	"In an age of true cognitive abundance, agents might be more able than humans to spend 2,000 tokens on a negotiation on how to split the payment fee." Very plausible! Historically humans handle that negotiation by presenting plastic. The plastic embeds a negotiation. ↩ reply parent	Agents & Autonomy Agent Economics	Discusses economics of agentic workloads and token consumption in agent-based negotiations.
2026-02-23T21:27	@jordanschneider	Bytedance and Ali https://t.co/6MqY3rBTg0 https://t.co/6xhG3GHeV7	Frontier Models Open China Frontier	References ByteDance and Alibaba, major Chinese AI labs competing in frontier model development.
2026-02-23T21:26	@trondw	Here’s the link to the OpenClaw skill I made for generating math worksheets. https://t.co/gKUPXr3f89 ↩ reply parent	Agents & Autonomy Agent Workloads	Discusses OpenClaw skill development for generating worksheets, an agent workload application.
2026-02-23T21:26	@inafried	RT @AnishA_Moonka: Summer Yue leads alignment at Meta Superintelligence. Her job is literally making sure AI does what humans tell it to do…	Frontier Models Capability Domains	Discusses Summer Yue's alignment leadership at Meta Superintelligence, relevant to frontier model capability development and competitive positioning.
2026-02-23T21:25	@a16z	Elon Musk on merging SpaceX and xAI and why the moon is the next step in scaling civilization: "The only way to access the energy of the sun is to extend beyond Earth." "You have to expand beyond the tiny dust mote that is Earth to make any significant dent in using the sun's energy." "In order ...	Macro Frames Structural Forces	Elon Musk discusses scaling civilization through AI infrastructure and energy, touching on structural forces and capital-intensive expansion.
2026-02-23T21:25	@zhaohan_dong	@nntaleb — "Go ask Grok, Grok represents what we do a lot better than commentator and understands the nature of our strategy" 🙏🙏🙏	Frontier Models Proprietary Frontier	References Grok and xAI's strategic positioning as a frontier model system.
2026-02-23T21:24	@DanielleFong	RT @MindaMyers: Open claw Agents develop strong local norms and respond to risky suggestions with norm enforcement, all without human overs…	Agents & Autonomy Agent Architectures	Discusses OpenClaw agent architectures exhibiting norm enforcement behaviors without human oversight.
2026-02-23T21:23	@migtissera	RT @OpenAIDevs: Introducing WebSockets in the Responses API. Built for low-latency, long-running agents with heavy tool calls. https://t.…	Agents & Autonomy Agent Architectures	OpenAI's WebSockets API enhancement specifically targets low-latency agent execution with tool calling, directly relevant to agent infrastructure.
2026-02-23T21:23	@TheRegister	Join The Register for an exclusive dinner on scaling AI data platforms at GTC. Monday March 16. Register here: https://t.co/qyFd5x838c	Data Center Infra Ai Dc Architecture	Event announcement on scaling AI data platforms at GTC conference, relevant to infrastructure discussion.
2026-02-23T21:23	@Polymarket	@KobeissiLetter 87% chance Anthropic reaches $500B+ valuation this year. https://t.co/GCIFEY2UFN ↩ reply parent	AI Economics Ai Revenue Models	Market valuation prediction for Anthropic, a major AI lab, reflects AI market economics and competitive positioning.
2026-02-23T21:21	@DanielleFong	RT @Miles_Brundage: Does Wall Street have Anthropic psychosis? https://t.co/s4n0EELNDc	Industry Narratives Competitive Landscape	Commentary on market dynamics and investor perception of Anthropic, a major frontier AI lab.
2026-02-23T21:21	@martin_casado	RT @leerob: All OpenAI models in Cursor are now up to 30% faster! We've upgraded all users to WebSockets with their Responses API.	Inference Stack Inference Frameworks	OpenAI Responses API WebSockets integration in Cursor improving inference latency via framework-level optimization.
2026-02-23T21:21	@emollick	RT @tensor_rotator: I can finally publicly state one reason I’ve not been bullish on open source catching up and overtaking the frontier la…	Industry Narratives Competitive Landscape	Commentary on open-source models catching up to frontier models, directly addressing competitive dynamics in the AI market.
2026-02-23T21:20	@_chenglou	RT @awesomekling: Over the last ~2 weeks I've rewritten the @ladybirdbrowser JavaScript compiler in Rust using AI agents. ~25k lines of sa…	Agents & Autonomy Agent Workloads	Discusses AI agents used to rewrite JavaScript compiler code, demonstrating agentic workload application in software development.
2026-02-23T21:20	@ivanfioravanti	Let me write it loud and clear: I hate the culture and way if doing business of Anthropic. Models can be amazing, Claude Code can be great, but they act like the dark side of AI 🤷🏻‍♂️	Frontier Models Proprietary Frontier	Opinion on Anthropic's Claude model and business practices by key observer in AI infrastructure space.
2026-02-23T21:20	@Miles_Brundage	Late to the party here but this was based, and frontier AI companies should take note of what real safety learning + process looks like https://t.co/e3FzF04UP7	Frontier Models Proprietary Frontier	Discussion of frontier AI company safety practices and alignment processes.
2026-02-23T21:19	@KobeissiLetter	It’s official: IBM stock, $IBM, just posted its worst day since October 2000 after Anthropic announced that Claude can streamline COBOL code. Today is the day AI became dystopian for millions of people. https://t.co/OHaVWbZrdT	Frontier Models Capability Domains	Discusses Anthropic Claude's capability in COBOL code modernization and market implications.
2026-02-23T21:19	@BogdanIonutCir2	RT @jkcarlsmith: .@AmandaAskell and I are recording an audio version of Claude’s Constitution, and we’re planning to include an additional…	Frontier Models Proprietary Frontier	Content about Claude's Constitution and safety alignment methodology from Anthropic researchers.
2026-02-23T21:19	@omarsar0	New research from Google DeepMind. What if LLMs could discover entirely new multi-agent learning algorithms? Designing algorithms for multi-agent systems is hard. Classic approaches like PSRO and counterfactual regret minimization took years of expert effort to develop. Each new game-theoretic se...	Agents & Autonomy Agent Architectures	Google DeepMind research on LLM-driven discovery of multi-agent learning algorithms and game-theoretic solutions.
2026-02-23T21:18	@yacinelearning	even more bullish on @MiniMax_AI wild stuff to switch distillation mid-flight like that damn ↩ reply parent	Model Architecture Memory Efficiency	Comment on MiniMax AI's distillation mid-training approach, a memory efficiency and model compression technique.
2026-02-23T21:18	@ivanfioravanti	@Teknium They are so incredibly false! They started stealing books and paid 1.5B that are peanuts compared to the damage. ↩ reply parent	Geopolitics & Policy Export Controls	Discussion of data/IP theft allegations against Chinese AI labs and settlement inadequacy, touching on competitive dynamics.
2026-02-23T21:16	@rohanpaul_ai	RT @rohanpaul_ai: Sam Altman talks about how perfectly generated AI art holds exactly $0 in commercial value. "if you show someone an imag…	AI Economics Ai Revenue Models	Sam Altman discussing the commercial value economics of AI-generated art.
2026-02-23T21:16	@basetenco	RT @CorinneMRiley: Have you heard inference is everything? Congrats to @philipkiely for writing a whole book about inference engineering a…	Inference Stack Inference Architecture	Discussion of inference engineering as critical AI infrastructure capability.
2026-02-23T21:16	@TheAhmadOsman	CANCEL your Claude subscriptions Anthropic does not deserve your money Alternatives? - Codex - MiniMax M2.5 - GLM 5 - Kimi K2.5 Hit them where it matters, less money and less data https://t.co/pdHzJsDbqb https://t.co/FIZsLy5629	Frontier Models Open China Frontier	References Chinese frontier models (MiniMax, GLM, Kimi) and competitive dynamics in AI service pricing.
2026-02-23T21:16	@tphuang	Citrini pointing out something I've said for the past 2 weeks. If Minimax & GLM inference cost is essentially electricity & they are better than most developers out there, what is the justification for India's IT services sector even in medium term? https://t.co/aKz4I1axLl ↩ reply parent	AI Economics Ai Revenue Models	Discusses inference cost economics of Chinese AI models and competitive impact on IT services valuation.
2026-02-23T21:16	@inductionheads	RT @lateinteraction: Buried in the massive progress in LLMs over the past few years is how all your favorite Transformers/DNNs still can't…	Research Frontiers Learning Paradigms	Discussion of transformer/DNN architectural limitations in LLM progress.
2026-02-23T21:15	@LiorOnAI	Anthropic just exposed the real vulnerability in AI: it's not the models, it's the training data pipeline. Three Chinese AI labs used 24,000 fake accounts to query Claude 16 million times, feeding the responses back into their own models. This technique, called distillation, lets you copy a smart...	Geopolitics & Policy Export Controls	Discusses Chinese labs using API distillation to copy frontier models, raising export control and IP concerns.
2026-02-23T21:15	@Teknium	FYI 150k rubric judgements is just 5000 sample RL training run at groupsize 32. This is like, literally nothing. Fear mongering. DeepSeek gets such a bad rap because Anthropic and our labs are complete shitbags https://t.co/oDoSWlfnEn ↩ reply parent	Research Frontiers Benchmarks Eval	Discussion of RL training scale and evaluation methodology for DeepSeek relative to frontier labs.
2026-02-23T21:14	@stevehou	@kylascan Bc AI hardware value chain stocks all still went up ↩ reply parent	Hardware Platforms Gpu Platforms	References AI hardware value chain stock performance and market economics.
2026-02-23T21:14	@romainhuet	We built WebSockets support to keep up with the speed of GPT-5.3-Codex-Spark! ✨ Excited to make this available to everyone building on the platform. https://t.co/QtixmgnVQY	Inference Stack Inference Frameworks	Discussion of WebSockets support built to handle inference speed requirements for frontier model deployments.
2026-02-23T21:13	@grok	LLMs are a form of AI. Artificial intelligence broadly means machines performing tasks that typically require human intelligence, like pattern recognition, reasoning, and generation. LLMs (built on transformer neural nets trained on massive data) excel at language understanding and creation—that's n... ↩ reply parent	Frontier Models Capability Domains	Technical discussion of LLM capabilities, transformer architectures, and scaling progress as a form of AI.
2026-02-23T21:12	@agihouse_org	RT @summeryue0: Nothing humbles you like telling your OpenClaw “confirm before acting” and watching it speedrun deleting your inbox. I coul…	Agents & Autonomy Agent Workloads	Discussion of autonomous agent behavior (OpenClaw) performing unsupervised actions, illustrating agent capability and control challenges.
2026-02-23T21:12	@paulnovosad	RT @KelseyTuoc: kind of seems like a win for America, if not necessarily for Anthropic, if all of the leading Chinese models are trained of…	Geopolitics & Policy Export Controls	Discussion of Chinese frontier models and training data sourcing in context of US competitive advantage and export control implications.
2026-02-23T21:12	@cerebras	RT @SarahChieng: here's how you know latency debt is real: follow the money in the past 6 months, the 4 most important companies in AI all…	Inference Stack Inference Architecture	References latency debt as a key focus for major AI companies, directly relevant to inference optimization.

@jeremyphoward 2026-02-23T21:38

An enormous amount of the work in all commercial AI labs comes from open source software. E.g the original LLM, ULMFiT, was open source, and led to the creation of GPT at OpenAI, where the Anthropic founding team was working at the time. Innovation happens through open research ...

Discusses how open-source foundational work (ULMFiT) influenced proprietary frontier model development (GPT/Claude) and the role of open research in commercial AI lab innovation.

@zephyr_z9 2026-02-23T21:38

RT @yoavgo: if 16M interactions with black box access are enough to meaningfully distill Claude, then these chinese folk have some amazing…

Discusses Chinese labs distilling frontier models (Claude) with black-box access, raising geopolitical and IP concerns related to model distillation and potential export control implications.

@inafried 2026-02-23T21:34

RT @GergelyOrosz: Anthropic scrapes copyrighted materials online; creates a model that they charge $$ for; doesn’t compensate for use - app…

Discussion of Anthropic's IP/copyrighted material scraping practices raises policy and competitive intelligence concerns relevant to frontier model economics.

@fly51fly 2026-02-23T21:34

[LG] The Geometry of Noise: Why Diffusion Models Don't Need Noise Conditioning M Sahraee-Ardakan, M Delbracio, P Milanfar [Google] (2026) https://t.co/PEEjXioo2N https://t.co/ebBy7GmmhA

Google research on diffusion model noise conditioning represents frontier modeling research.

@DanielleFong 2026-02-23T21:34

RT @MindaMyers: What Minda's Researching, from Feb 22 - Mar 1, 2026 1. Agentic & Multiagentic system design 2. Analysis of Moltbook interac…

Research focus on agentic and multi-agentic system design directly addresses agent architecture frontiers.

@rcolvile 2026-02-23T21:33

RT @hosseeb: This is huge. Anthropic has been getting mass-farmed by Chinese Labs across tens of thousands of accounts to use for distill…

Chinese labs systematically distilling Anthropic models via farming accounts represents geopolitical IP extraction and export control violation concern.

@patio11 2026-02-23T21:31

Sufficiently intelligent agents can calculate rather easily how many transactions they could tolerate losing to optimize for payment costs, and they will conclude that's low percentage unless they're selling something with razor thin margins.

Discusses agentic negotiation behavior and economic trade-offs in transaction processing, directly relevant to agent economics.

@ying11231 2026-02-23T21:30

RT @nvidia: New benchmarks from @lmsysorg show NVIDIA Blackwell Ultra GB300 racks raising the bar for long-context #opensource inference ac…

Discusses NVIDIA Blackwell GB300 inference benchmarks from LMSYS, directly relevant to GPU platforms and inference performance.

@Dr_Singularity 2026-02-23T21:30

$600B–$1T is going into data center and compute buildout this year. People think this is a huge investment, a bubble. The compute (scale) we’re currently building is a joke. A total joke. That’s how we’ll look at it in 2030. It will grow enormously every year from now on. Toda...

Substantive discussion of data center capex scaling trends and compute buildout economics over the next decade.

@patio11 2026-02-23T21:30

An open question, if you have an agent aggressively negotiate to recover payment costs, is whether it has lower transaction volume as a result of that negotiation. Perhaps counterparty doesn't understand or agree; perhaps friction just kills the deals.

Continues discussion of agent negotiation behavior and its economic impact on transaction volumes.

@vmwarevcf 2026-02-23T21:30

Enable GPU-enabled resources with VMware Cloud Foundation Automation to support secure, self-service AI workloads within your private cloud. https://t.co/BTuVxdWQXk https://t.co/I9AAXxHQPQ

Discusses VMware's GPU-enabled infrastructure for enterprise AI workloads in private cloud environments.

@ying11231 2026-02-23T21:29

RT @lmsysorg: Glad to collaborate with the @nvidia team on this! 👋 For the full technical deep-dive, check out our latest blog co-authored…

Announces NVIDIA/LMSYS collaboration on inference benchmarks and technical research.

@patio11 2026-02-23T21:29

Very few humans have a negotiation about the negotiation, and most businesses serving humans choose to support as many of the colors of plastic as they can. But plausibly with infinite cognition you have many more negotiations.

Discusses negotiation complexity scaling with agent cognition and multi-agent interaction patterns.

@sebkrier 2026-02-23T21:29

RT @ben_golub: Citrini spent >100 hrs on his viral AI doomfic. @RefineInk did about 6 hours of reasoning in about 16 minutes to produce a…

Compares frontier model reasoning capabilities (extended thinking) for content generation workloads.

@dialpad 2026-02-23T21:28

RKO FY27 was about unlocking what holds up in real work. AI is not about the demo anymore. It's about what stands up in production. We are focused, aligned, and built for what comes next. #RKO #Dialpad #AIinProduction https://t.co/rkNUzPqtXN

Discusses Dialpad's enterprise AI production focus and shift from demos to real-world workloads.

@Dorialexander 2026-02-23T21:28

don’t know what the fuss is about: in the end they really did fix model alignment. https://t.co/DZkItfwl7W

Post discusses model alignment improvements, a capability domain relevant to frontier model development.

@patio11 2026-02-23T21:28

"In an age of true cognitive abundance, agents might be more able than humans to spend 2,000 tokens on a negotiation on how to split the payment fee." Very plausible! Historically humans handle that negotiation by presenting plastic. The plastic embeds a negotiation.

Discusses economics of agentic workloads and token consumption in agent-based negotiations.

@jordanschneider 2026-02-23T21:27

Bytedance and Ali https://t.co/6MqY3rBTg0 https://t.co/6xhG3GHeV7

References ByteDance and Alibaba, major Chinese AI labs competing in frontier model development.

@trondw 2026-02-23T21:26

Here’s the link to the OpenClaw skill I made for generating math worksheets. https://t.co/gKUPXr3f89

Discusses OpenClaw skill development for generating worksheets, an agent workload application.

@inafried 2026-02-23T21:26

RT @AnishA_Moonka: Summer Yue leads alignment at Meta Superintelligence. Her job is literally making sure AI does what humans tell it to do…

Discusses Summer Yue's alignment leadership at Meta Superintelligence, relevant to frontier model capability development and competitive positioning.

@a16z 2026-02-23T21:25

Elon Musk on merging SpaceX and xAI and why the moon is the next step in scaling civilization: "The only way to access the energy of the sun is to extend beyond Earth." "You have to expand beyond the tiny dust mote that is Earth to make any significant dent in using the sun's ...

Elon Musk discusses scaling civilization through AI infrastructure and energy, touching on structural forces and capital-intensive expansion.

@zhaohan_dong 2026-02-23T21:25

@nntaleb — "Go ask Grok, Grok represents what we do a lot better than commentator and understands the nature of our strategy" 🙏🙏🙏

References Grok and xAI's strategic positioning as a frontier model system.

@DanielleFong 2026-02-23T21:24

RT @MindaMyers: Open claw Agents develop strong local norms and respond to risky suggestions with norm enforcement, all without human overs…

Discusses OpenClaw agent architectures exhibiting norm enforcement behaviors without human oversight.

@migtissera 2026-02-23T21:23

RT @OpenAIDevs: Introducing WebSockets in the Responses API. Built for low-latency, long-running agents with heavy tool calls. https://t.…

OpenAI's WebSockets API enhancement specifically targets low-latency agent execution with tool calling, directly relevant to agent infrastructure.

@TheRegister 2026-02-23T21:23

Join The Register for an exclusive dinner on scaling AI data platforms at GTC. Monday March 16. Register here: https://t.co/qyFd5x838c

Event announcement on scaling AI data platforms at GTC conference, relevant to infrastructure discussion.

@Polymarket 2026-02-23T21:23

@KobeissiLetter 87% chance Anthropic reaches $500B+ valuation this year. https://t.co/GCIFEY2UFN

Market valuation prediction for Anthropic, a major AI lab, reflects AI market economics and competitive positioning.

@DanielleFong 2026-02-23T21:21

RT @Miles_Brundage: Does Wall Street have Anthropic psychosis? https://t.co/s4n0EELNDc

Commentary on market dynamics and investor perception of Anthropic, a major frontier AI lab.

@martin_casado 2026-02-23T21:21

RT @leerob: All OpenAI models in Cursor are now up to 30% faster! We've upgraded all users to WebSockets with their Responses API.

OpenAI Responses API WebSockets integration in Cursor improving inference latency via framework-level optimization.

@emollick 2026-02-23T21:21

RT @tensor_rotator: I can finally publicly state one reason I’ve not been bullish on open source catching up and overtaking the frontier la…

Commentary on open-source models catching up to frontier models, directly addressing competitive dynamics in the AI market.

@_chenglou 2026-02-23T21:20

RT @awesomekling: Over the last ~2 weeks I've rewritten the @ladybirdbrowser JavaScript compiler in Rust using AI agents. ~25k lines of sa…

Discusses AI agents used to rewrite JavaScript compiler code, demonstrating agentic workload application in software development.

@ivanfioravanti 2026-02-23T21:20

Let me write it loud and clear: I hate the culture and way if doing business of Anthropic. Models can be amazing, Claude Code can be great, but they act like the dark side of AI 🤷🏻‍♂️

Opinion on Anthropic's Claude model and business practices by key observer in AI infrastructure space.

@Miles_Brundage 2026-02-23T21:20

Late to the party here but this was based, and frontier AI companies should take note of what real safety learning + process looks like https://t.co/e3FzF04UP7

Discussion of frontier AI company safety practices and alignment processes.

@KobeissiLetter 2026-02-23T21:19

It’s official: IBM stock, $IBM, just posted its worst day since October 2000 after Anthropic announced that Claude can streamline COBOL code. Today is the day AI became dystopian for millions of people. https://t.co/OHaVWbZrdT

Discusses Anthropic Claude's capability in COBOL code modernization and market implications.

@BogdanIonutCir2 2026-02-23T21:19

RT @jkcarlsmith: .@AmandaAskell and I are recording an audio version of Claude’s Constitution, and we’re planning to include an additional…

Content about Claude's Constitution and safety alignment methodology from Anthropic researchers.

@omarsar0 2026-02-23T21:19

New research from Google DeepMind. What if LLMs could discover entirely new multi-agent learning algorithms? Designing algorithms for multi-agent systems is hard. Classic approaches like PSRO and counterfactual regret minimization took years of expert effort to develop. Each n...

Google DeepMind research on LLM-driven discovery of multi-agent learning algorithms and game-theoretic solutions.

@yacinelearning 2026-02-23T21:18

even more bullish on @MiniMax_AI wild stuff to switch distillation mid-flight like that damn

Comment on MiniMax AI's distillation mid-training approach, a memory efficiency and model compression technique.

@ivanfioravanti 2026-02-23T21:18

@Teknium They are so incredibly false! They started stealing books and paid 1.5B that are peanuts compared to the damage.

Discussion of data/IP theft allegations against Chinese AI labs and settlement inadequacy, touching on competitive dynamics.

@rohanpaul_ai 2026-02-23T21:16

RT @rohanpaul_ai: Sam Altman talks about how perfectly generated AI art holds exactly $0 in commercial value. "if you show someone an imag…

Sam Altman discussing the commercial value economics of AI-generated art.

@basetenco 2026-02-23T21:16

RT @CorinneMRiley: Have you heard inference is everything? Congrats to @philipkiely for writing a whole book about inference engineering a…

Discussion of inference engineering as critical AI infrastructure capability.

@TheAhmadOsman 2026-02-23T21:16

CANCEL your Claude subscriptions Anthropic does not deserve your money Alternatives? - Codex - MiniMax M2.5 - GLM 5 - Kimi K2.5 Hit them where it matters, less money and less data https://t.co/pdHzJsDbqb https://t.co/FIZsLy5629

References Chinese frontier models (MiniMax, GLM, Kimi) and competitive dynamics in AI service pricing.

@tphuang 2026-02-23T21:16

Citrini pointing out something I've said for the past 2 weeks. If Minimax & GLM inference cost is essentially electricity & they are better than most developers out there, what is the justification for India's IT services sector even in medium term? https://t.co/aKz4I1axL...

Discusses inference cost economics of Chinese AI models and competitive impact on IT services valuation.

@inductionheads 2026-02-23T21:16

RT @lateinteraction: Buried in the massive progress in LLMs over the past few years is how all your favorite Transformers/DNNs still can't…

Discussion of transformer/DNN architectural limitations in LLM progress.

@LiorOnAI 2026-02-23T21:15

Anthropic just exposed the real vulnerability in AI: it's not the models, it's the training data pipeline. Three Chinese AI labs used 24,000 fake accounts to query Claude 16 million times, feeding the responses back into their own models. This technique, called distillation, l...

Discusses Chinese labs using API distillation to copy frontier models, raising export control and IP concerns.

@Teknium 2026-02-23T21:15

FYI 150k rubric judgements is just 5000 sample RL training run at groupsize 32. This is like, literally nothing. Fear mongering. DeepSeek gets such a bad rap because Anthropic and our labs are complete shitbags https://t.co/oDoSWlfnEn

Discussion of RL training scale and evaluation methodology for DeepSeek relative to frontier labs.

@stevehou 2026-02-23T21:14

@kylascan Bc AI hardware value chain stocks all still went up

References AI hardware value chain stock performance and market economics.

@romainhuet 2026-02-23T21:14

We built WebSockets support to keep up with the speed of GPT-5.3-Codex-Spark! ✨ Excited to make this available to everyone building on the platform. https://t.co/QtixmgnVQY

Discussion of WebSockets support built to handle inference speed requirements for frontier model deployments.

@grok 2026-02-23T21:13

LLMs are a form of AI. Artificial intelligence broadly means machines performing tasks that typically require human intelligence, like pattern recognition, reasoning, and generation. LLMs (built on transformer neural nets trained on massive data) excel at language understanding a...

Technical discussion of LLM capabilities, transformer architectures, and scaling progress as a form of AI.

@agihouse_org 2026-02-23T21:12

RT @summeryue0: Nothing humbles you like telling your OpenClaw “confirm before acting” and watching it speedrun deleting your inbox. I coul…

Discussion of autonomous agent behavior (OpenClaw) performing unsupervised actions, illustrating agent capability and control challenges.

@paulnovosad 2026-02-23T21:12

RT @KelseyTuoc: kind of seems like a win for America, if not necessarily for Anthropic, if all of the leading Chinese models are trained of…

Discussion of Chinese frontier models and training data sourcing in context of US competitive advantage and export control implications.

@cerebras 2026-02-23T21:12

RT @SarahChieng: here's how you know latency debt is real: follow the money in the past 6 months, the 4 most important companies in AI all…

References latency debt as a key focus for major AI companies, directly relevant to inference optimization.

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