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Hi there, this is your daily ☕️ Techpresso.

In today's Techpresso:

👀 Meta got caught gaming AI benchmarks

💥 Shopify CEO says no new hires without proof AI can’t do the job

🔍 Google’s AI Mode can now answer questions about images

🫠 Google is paying some AI staff to do nothing

✈ Apple rushes to import iPhones before tariff deadline

🐺 Scientists resurrect dire wolf traits in living wolves

🎁 + 11 other news you might like

🔮 + 5 handpicked research papers and tools

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👀 Meta got caught gaming AI benchmarks LINK
  • Meta's new Llama 4 AI models faced backlash after allegations surfaced that the company manipulated benchmark results, with community members finding discrepancies between claimed and actual performance.
  • AI researchers discovered Meta used a different version of Llama 4 Maverick for marketing than what was publicly released, raising questions about the accuracy of the company's performance comparisons.
  • Meta's VP of GenAI denied training on test sets and attributed performance issues to implementation bugs, claiming the variable quality users experienced was due to the rapid rollout of the models.
💥 Shopify CEO says no new hires without proof AI can’t do the job LINK
  • Shopify CEO Tobi Lütke has instructed employees to demonstrate why AI cannot handle tasks before requesting additional staff or resources, emphasizing a new company standard for resource allocation.
  • In a memo shared on X, Lütke explained that "reflexive AI usage" is now a baseline expectation at Shopify, describing artificial intelligence as the most rapid workplace shift in his career.
  • The company is integrating AI usage into performance reviews, with Lütke stating that effectively leveraging AI has become a fundamental expectation for all Shopify employees.
🔍 Google’s AI Mode can now answer questions about images LINK
  • Google's AI Mode in Google Search now has multimodal capabilities, allowing users to upload images for analysis and ask questions about what the AI sees.
  • The image analysis function is powered by Google Lens technology and can understand entire scenes, object relationships, materials, shapes, colors, and arrangements within uploaded photos.
  • This experimental feature is being expanded to millions of new users who participate in Google's Labs program, as the company continues to refine it before a wider release.
🫠 Google is paying some AI staff to do nothing LINK
  • Google's DeepMind is using "aggressive" noncompete agreements in the UK, preventing some AI staff from joining competitors for up to a year while still receiving pay.
  • These practices have left researchers feeling disconnected from AI advancements, with Microsoft's VP of AI revealing DeepMind employees have contacted him "in despair" about escaping their agreements.
  • Unlike in the United States where the FTC banned most noncompete clauses last year, these restrictions remain legal at DeepMind's London headquarters, though Google claims to use them "selectively."
✈ Apple rushes to import iPhones before tariff deadline LINK
  • Apple rushed to import iPhones from India to the United States via five cargo planes in late March, ahead of a new 10% reciprocal tariff imposed by the Trump administration that took effect on April 5.
  • The company stockpiled inventory before the tariff implementation to maintain stable retail pricing, giving Apple enough devices in US warehouses to sustain the market for several months without immediate price increases.
  • With an additional 26% reciprocal tariff set for April 9, Apple may increase its manufacturing in India, which faces lower tariffs (26%) compared to Chinese exports (54%), creating a strategic economic advantage.
🐺 Scientists resurrect dire wolf traits in living wolves LINK
  • Colossal Biosciences has successfully engineered three genetically modified wolves resembling the extinct dire wolf species, named Romulus, Remus, and Khaleesi, which were born to surrogate hound mixes since last October.
  • Scientists made 20 genetic edits to gray wolf cells, with 15 modifications aimed at replicating dire wolf traits, though the resulting animals represent a "functional de-extinction" rather than an exact genetic copy of the original species.
  • The research team analyzed ancient dire wolf DNA from a 13,000-year-old tooth and a 72,000-year-old skull, while also using their technology to clone four critically endangered red wolves, with plans to resurrect woolly mammoths by 2028.

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Other news & articles you might like

  • Amazon unveils a new AI voice model, Nova Sonic LINK
  • Amazon says its AI video model can now generate minutes-long clips LINK
  • Framework “temporarily pausing” some laptop sales because of new tariffs LINK
  • UK makes first 250-mile quantum video call using entangled light for encryption LINK
  • Meta blocks livestreaming by teenagers on Instagram LINK
  • Ripple to acquire Hidden Road for $1.25B in one of crypto’s largest deals LINK
  • A military satellite waiting to launch with ULA will now fly with SpaceX LINK
  • Waymo: ‘no plans’ to use in-car camera data for targeted ads LINK
  • Git turns 20 as we celebrate decades of open-source software distribution LINK
  • Fusion rocket could cut Mars trips in half and reach Pluto in four years LINK
  • Quoting John Carmack LINK

Latest research and tools

Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB: researchers introduce DuckDB-LMRAG, a framework that seamlessly integrates language models and retrieval-augmented generation into the DuckDB database system. LINK
LLM-hacker-news: a plugin that allows users to pull content from Hacker News directly into LLM, enabling easy access to conversation threads through item IDs. LINK
Weather MCP Server: a lightweight server that enables AI assistants like Claude to retrieve and interpret real-time weather data for cities. LINK
Neural Graffiti: a layer that adds real-time memory to pre-trained language models by injecting information directly into vector embeddings, influencing how the model processes concepts without requiring fine-tuning. LINK
Transformers Are Efficient Compilers, Provably: this paper proves that transformer neural networks can efficiently simulate computation, showing they have the same computational power as random-access machines. LINK
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*Reserving a Nasdaq ticker does not guarantee a future listing on Nasdaq or indicate that BOXABL meets any of Nasdaq's listing criteria to do so.

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