145 place 3 fresh
Alfred Wahlforss was running out of options. His startup, Listen Labs, needed to hire over 100 engineers, but competing against Mark Zuckerberg's $100 million offers seemed impossible. So he spent $5,000 — a fifth of his marketing budget — on a billboard in San Francisco displaying what looked like gibberish: five strings of random numbers.The numbers were actually AI tokens. Decoded, they led to a coding challenge: build an algorithm to act as a digital bouncer at Berghain, the Berlin nightclub famous for.
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Here come another influx of refugees to competing sites like Threads and Bluesky. Read more ›
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Canada has agreed to drastically reduce its tariffs on imported Chinese EVs from 100 percent to 6.1 percent as part of a new deal between the two countries. In return, China will be reducing tariffs on Canadian canola seeds from 84 percent to about 15 percent. The move is a break from the United States, which maintains a 100 percent tariff on EVs from China, effectively banning them in the... Read more ›
710 fresh
OpenAI says ads will not influence ChatGPT’s responses, and that it won’t sell user data to advertisers. Read more ›
497 fresh
TikTok rolled out a new app, PineDrama, dedicated to micro dramas as it looks to break into a fast-growing category. Read more ›
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Commentary: Supernatural is now a zombie workout app on the Quest, and the metaverse just lost its best reason to join. Read more ›
487 fresh
OpenAI today announced that its lower-priced ChatGPT Go subscription tier is now available worldwide, with U.S. pricing set at $8 per month. ChatGPT Go provides expanded access to ChatGPT's latest model, GPT‑5.2 Instant, with 10× more messages, file uploads, and image creation allowed compared to the free tier. ChatGPT Go also offers longer memory than the free tier, so that ChatGPT can remember more information about you for a longer... Read more ›
448 fresh
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A new report underscores the vastly disproportionate role the super-rich play in driving the climate crisis. Read more ›
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Seattle was late to the light rail party -- the city rejected transit ballot measures in 1968 and 1971, missing out on federal funding that built Atlanta's MARTA, and didn't approve a plan including rail until 1996 -- but the Pacific Northwest city is now in the middle of a multibillion-dollar building boom that has produced the highest post-pandemic ridership recovery of any US light rail system. The Link system... Read more ›
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Meta said it's shutting down Workrooms in February, deleting user data as Reality Labs faces layoffs and the company continues to shift toward AI. Read more ›
331 fresh
AI still can't produce code as well as most junior programmers he's worked with, David Heinemeier Hansson, the creator of Ruby on Rails and co-founder of 37 Signals, said on a recent podcast [video link], which is why he continues to write most of his code by hand. Hansson compared AI's current coding capabilities to "a flickering light bulb" -- total darkness punctuated by moments of clarity before going pitch... Read more ›
327 fresh
Elon Musk now dominates the rich list while Bill Gates and Warren Buffett have tumbled down the rankings largely due to their charitable giving. Read more ›
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Microsoft argues against unchecked AI infrastructure expansion, noting that these buildouts must support the community surrounding it. The move may be a blueprint for other AI hyperscalers to follow. Read more ›
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Education Sec. Linda McMahon told reporters that wage garnishment for defaulted student-loan borrowers has "been put on pause for a bit." Read more ›
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Presented by NetSuiteMost companies racing from startup to an industry leader face a choice: limp along with scrappy early systems or endure a costly platform migration.DoorDash did neither. The local-commerce giant scaled from its 2013 founding through IPO and global expansion — acquiring the Helsiniki-based technology company Wolt in 2022 and UK-based Deliveroo in 2025 — while keeping its original Oracle NetSuite business system. Today, it serves over 50 million... Read more ›
60
In the chaotic world of Large Language Model (LLM) optimization, engineers have spent the last few years developing increasingly esoteric rituals to get better answers. We’ve seen "Chain of Thought" (asking the model to think step-by-step and often, show those "reasoning traces" to the user), "Emotional Blackmail" (telling the model its career depends on the answer, or that it is being accused of sexual misconduct), and complex multi-shot prompting frameworks.But... Read more ›
33
Anthropic's open source standard, the Model Context Protocol (MCP), released in late 2024, allows users to connect AI models and the agents atop them to external tools in a structured, reliable format. It is the engine behind Anthropic's hit AI agentic programming harness, Claude Code, allowing it to access numerous functions like web browsing and file creation immediately when asked.But there was one problem: Claude Code typically had to "read"... Read more ›
27
The two big stories of AI in 2026 so far have been the incredible rise in usage and praise for Anthropic's Claude Code and a similar huge boost in user adoption for Google's Gemini 3 AI model family released late last year — the latter of which includes Nano Banana Pro (also known as Gemini 3 Pro Image), a powerful, fast, and flexible image generation model that renders complex, text-heavy... Read more ›
10
In an impressive feat, Japanese startup Sakana AI’s coding agent ALE-Agent recently secured first place in the AtCoder Heuristic Contest (AHC058), a complex coding competition that involves complicated optimization problems — and a more difficult and perhaps telling challenge than benchmarks like HumanEval, which mostly test the ability to write isolated functions, and which many AI models and agents now regularly pass with ease ("benchmark saturation"). Sakana's accomplishment with ALE-Agent... Read more ›
7
Anthropic has confirmed the implementation of strict new technical safeguards preventing third-party applications from spoofing its official coding client, Claude Code, in order to access the underlying Claude AI models for more favorably pricing and limits — a move that has disrupted workflows for users of popular open source coding agent OpenCode. Simultaneously but separately, it has restricted usage of its AI models by rival labs including xAI (through the... Read more ›
3
A new framework from researchers Alexander and Jacob Roman rejects the complexity of current AI tools, offering a synchronous, type-safe alternative designed for reproducibility and cost-conscious science.In the rush to build autonomous AI agents, developers have largely been forced into a binary choice: surrender control to massive, complex ecosystems like LangChain, or lock themselves into single-vendor SDKs from providers like Anthropic or OpenAI. For software engineers, this is an annoyance.... Read more ›
1
Our LLM API bill was growing 30% month-over-month. Traffic was increasing, but not that fast. When I analyzed our query logs, I found the real problem: Users ask the same questions in different ways."What's your return policy?," "How do I return something?", and "Can I get a refund?" were all hitting our LLM separately, generating nearly identical responses, each incurring full API costs.Exact-match caching, the obvious first solution, captured only... Read more ›
1
Rather than asking how AI agents can work for them, a key question in enterprise is now: Are agents playing well together? This makes orchestration across multi-agent systems and platforms a critical concern — and a key differentiator. “Agent-to-agent communications is emerging as a really big deal,” G2’s chief innovation officer Tim Sanders told VentureBeat. “Because if you don't orchestrate it, you get misunderstandings, like people speaking foreign languages to... Read more ›
1
As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus: memory. Not compute. Not models. Memory.Under the hood, today’s GPUs simply don’t have enough space to hold the Key-Value (KV) caches that modern, long-running AI agents depend on to maintain context. The result is a lot of invisible waste — GPUs redoing work they’ve already done, cloud costs climbing, and... Read more ›
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16.01.2026 15:08
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